Hostname: page-component-cd9895bd7-hc48f Total loading time: 0 Render date: 2024-12-25T06:17:16.798Z Has data issue: false hasContentIssue false

Working Ethically with Ancient DNA from Composites in the United States

Published online by Cambridge University Press:  15 January 2024

Taryn Johnson*
Affiliation:
Department of Anthropology, Texas A&M University, College Station, TX, USA
Heather B. Thakar
Affiliation:
Department of Anthropology, Texas A&M University, College Station, TX, USA
Joe Watkins
Affiliation:
Archaeological and Cultural Education Consultants LLC, Tucson, AZ, USA
Anna Linderholm
Affiliation:
Centre for Palaeogenetics and Department of Geological Sciences, Stockholm University, Stockholm, Sweden
*
(tarjohns@tamu.edu, corresponding author)
Rights & Permissions [Opens in a new window]

Abstract

This article discusses ethical frameworks for planning and implementing composite research in the United States. Composites, defined here as archaeological materials with multiple genetic sources, include materials such as sediment, coprolites, birch pitch, and dental calculus. Although composites are increasingly used in genetic research, the ethical considerations of their use in ancient DNA studies have not been widely discussed. Here, we consider how composites’ compositions, contexts, and potential to act as proxies can affect research plans and offer an overview of the primary ethical concerns of ancient DNA research. It is our view that ethical principles established for analyses of Ancestral remains and related materials can be used to inform research plans when working with composite evidence. This work also provides a guide to archaeologists unfamiliar with genetics analyses in planning research when using composite evidence from the United States with a focus on collaboration, having a clear research plan, and using lab methods that provide the desired data with minimal destruction. Following the principles discussed in this article and others allows for engaging in composite research while creating and maintaining positive relationships with stakeholders.

El presente trabajo analiza las preocupaciones éticas para la planificación e implementación de investigaciones compuestas en los Estados Unidos. Los compuestos, definidos aquí como muestras arqueológicas con múltiples fuentes genéticas, incluyen materiales como sedimentos, paleofecas, brea de abedul y calculo dental. Sin embargo, si bien los compuestos se han utilizado cada vez más en la investigación genética arqueológica, las consideraciones éticas de su uso en estudios de aADN no se han discutido ampliamente. Aquí consideramos cómo las composiciones, los contextos y el potencial de los compuestos para actuar como sustitutos pueden afectar los planes de investigación y ofrecer una visión general de las principales preocupaciones éticas de la investigación del ADN antiguo. Es la opinión de los autores que los principios éticos establecidos para los análisis de restos humanos y materiales relacionados se pueden utilizar para informar los planes de investigación cuando se trabaja con evidencia compuesta. Este trabajo ofrece también una guía para planificar la investigación cuando se utiliza evidencia compuesta con un enfoque en la colaboración, en planes de investigación claros y uso de métodos de laboratorio que proporcionen los datos deseados con una destrucción mínima de la muestra. Seguir los principios descritos en este documento permite participar en la investigación compuesta sin dejar de lado la creación y mantención de relaciones positivas con las partes interesadas.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of Society for American Archaeology

Ancient DNA (aDNA) has increasingly been used to answer and elucidate many questions about human origins and existence, capturing the interest of both the scientific community and the public. It has expanded the possibility of studying the genetic pasts of human Ancestors, the plants and animals humans interacted with, the microbes that inhabited them, and the environments that influenced their development. The bulk of paleogenomic work has been performed on Ancestor remains (Brunson and Reich Reference Brunson and Reich2019; Liu et al. Reference Liu, Mao, Krause and Fu2021), but environmental and nonhuman materials have increasingly been used (Armbrecht et al. Reference Armbrecht, Coolen, Lejzerowicz, George, Negandhi, Suzuki and Young2019; Crump Reference Crump2021; Shillito et al. Reference Shillito, Blong, Green and Van Asperen2020). One category of such materials is composites, or materials containing DNA from multiple organisms that include flora, fauna, microbes, and humans. Composites may also contain a variety of archaeological materials—such as macro, micro, and additional molecular remains—making composite research inherently multiproxy. The composites discussed here are sediment, coprolites, birch pitch, and dental calculus (Figure 1). A single composite could contain plant and animal remains, pollen, phytoliths, diatoms, parasites, proteins, lipid biomarkers, and DNA, each of which could be the subject of analysis. Composites can further act as proxies for more sensitive materials, but their use in research is not free from the ethical concerns raised by stakeholders and researchers who are engaged in, associated with, or affected by genetic research.

FIGURE 1. Composites discussed in this article: (a) sediment, (b) coprolite, (c) pine pitch, and (d) dental calculus under a microscope. As shown, coprolite and pine pitch are morphologically unique, whereas sediment is not; different amounts of documentation are needed. All composites may also contain a mixture of visible and molecular remains. (Sediment, coprolite, and pitch photos provided by Taryn Johnson. Dental calculus photo provided by Angela Perri.)

WORKING WITH COMPOSITES

Composite research centers on the following: (1) the composite's composition, (2) the composite's context, and (3) the potential for a composite to act as a proxy. Composition largely affects the research questions that can be asked and the methods that are best suited to analysis. Composite context relates to where a composite is collected, what its relative abundance is, and whether it has unique features. Composites may also contain DNA that allows for the proxy study of humans or nonhuman organisms that have similar or equal cultural importance to that of humans.

Sediment

DNA in sediment (Figure 1a) is often from small fragments of bone and feces, with additional DNA from urine, hair and skin, plant matter, and other discarded organic material (Massilani et al. Reference Massilani, Morley, Mentzer, Aldeias, Vernot, Miller and Stahlschmidt2022; Pedersen et al. Reference Pedersen, Overballe-Petersen, Ermini, Sarkissian, Haile, Hellstrom and Spens2015). DNA from skeletal material may also diffuse into surrounding sediments (Sarhan et al. Reference Sarhan, Lehmkuhl, Straub, Tett, Wieland, Francken, Zink and Maixner2021). This results in sediment containing aDNA that likely represents the floral and faunal environment at the time the sediment was created, with traces of human aDNA depending on context. First analyzed archaeologically by Willerslev and colleagues (Reference Willerslev, Hansen, Binladen, Brand, Gilbert, Shapiro, Bunce, Wiuf, Gilichinsky and Cooper2003), sediment aDNA (sedaDNA) has been used primarily in environmental reconstruction. This includes reconstructing floral communities at a single point in time (Gugerli et al. Reference Gugerli, Alvarez and Tinner2013; Jørgensen, Haile, et al. Reference Jørgensen, Haile, Moller, Andreev, Boessenkool, Rasmussen and Kienast2012; Jørgensen, Kjaer, et al. Reference Jørgensen, Kjaer, Haile, Rasmussen, Boessenkool, Andersen and Coissac2012; Parducci et al. Reference Parducci, Bennett, Ficetola, Alsos, Suyama, Wood and Pedersen2017) and correlating floral, faunal, and environmental shifts (Anderson-Carpenter et al. Reference Anderson-Carpenter, McLachlan, Jackson, Kuch, Lumibao and Poinar2011; Andresen et al. Reference Andresen, Björck, Bennike and Bond2004; Birks and Birks Reference Birks and Birks2016; Epp et al. Reference Epp, Gussarova, Boessenkool, Olsen, Haile, Schroder-Nielsen and Ludikova2015; Seersholm et al. Reference Seersholm, Werndly, Grealy, Johnson, Early, Lundelius and Winsborough2020). Sediment has also been used to look for faunal traces to determine what kinds of animal resources a group may have used (Haile et al. Reference Haile, Holdaway, Oliver, Bunce, Gilbert, Nielsen, Munch, Ho, Shapiro and Willerslev2007; Hebsgaard et al. Reference Hebsgaard, Thomas P, Gilbert, Heyn, Allentoft, Bunce, Munch, Schweger and Willerslev2009; Seersholm et al. Reference Seersholm, Pedersen, Soe, Shokry, Mak, Ruter and Raghavan2016; Willerslev et al. Reference Willerslev, Hansen, Binladen, Brand, Gilbert, Shapiro, Bunce, Wiuf, Gilichinsky and Cooper2003) and to study extinct species and the timing and circumstances of their extinction (Graham et al. Reference Graham, Belmecheri, Choy, Culleton, Davies, Froese and Heintzman2016; Willerslev et al. Reference Willerslev, Hansen, Binladen, Brand, Gilbert, Shapiro, Bunce, Wiuf, Gilichinsky and Cooper2003). SedaDNA from burial contexts has been used to study the genetics of fossil hominins and humans, along with various fauna (Gelabert et al. Reference Gelabert, Sawyer, Bergström, Margaryan, Collin, Meshveliani and Belfer-Cohen2021; Sarhan et al. Reference Sarhan, Lehmkuhl, Straub, Tett, Wieland, Francken, Zink and Maixner2021; Slon et al. Reference Slon, Hopfe, Weiß, Mafessoni, De La Rasilla, Lalueza-Fox and Rosas2017; Vernot et al. Reference Vernot, Zavala, Gómez-Olivencia, Jacobs, Slon, Mafessoni and Romagné2021).

Sediment is abundant; it is ubiquitous to archaeological sites, resampling is possible, and very small amounts are needed for genetic analysis. Sediment is commonly collected during excavation and survey, and sediment can easily be subsampled for use in both destructive and nondestructive analyses. Sediment's ability to act as a proxy is particularly useful, because it allows for the study of human DNA without necessitating the destruction of Ancestral remains. SedaDNA research can be placed into two broad contexts: (1) environmental studies focusing on flora and nonhuman fauna and (2) using sediment as a proxy for Ancestors and other culturally significant organisms. When used for the former, sediment collected from areas with no known human occupation, cultural activity, or cultural significance at any time point is unlikely to contain endogenous human DNA. An example is the sampling and genetic analysis of lake sediments to reconstruct past environments (Anderson-Carpenter et al. Reference Anderson-Carpenter, McLachlan, Jackson, Kuch, Lumibao and Poinar2011; Birks and Birks Reference Birks and Birks2016). Although there is little cause for concern with these kinds of studies given that there is no human association, researchers should be cognizant of whether any of the flora and fauna they detect have cultural significance to the traditional custodians of the land. If so, additional considerations akin to those when working with human DNA may be needed. If sediment is collected from sites with known human occupations, human DNA may be recovered. This is especially true of sites with burials, and human DNA may also be present in layers devoid of visible Ancestral remains. Although sediment can be an excellent alternative to sampling Ancestral remains due to its abundance, human DNA yields from sediment will likely be lower than those gained from sampling Ancestral remains (Sarhan et al. Reference Sarhan, Lehmkuhl, Straub, Tett, Wieland, Francken, Zink and Maixner2021). SedaDNA context can be further complicated by DNA leeching from higher stratigraphic layers (Haile et al. Reference Haile, Holdaway, Oliver, Bunce, Gilbert, Nielsen, Munch, Ho, Shapiro and Willerslev2007). Recent work has shown that genetically screening sediment from throughout a profile to identify specific taxa and then targeting those taxa from microfeatures could mitigate the effects of leeching (Massilani et al. Reference Massilani, Morley, Mentzer, Aldeias, Vernot, Miller and Stahlschmidt2022). Alternatively, knowledge of a site's formation and assemblages can be used in conjunction with sedaDNA to reconstruct chronologies.

Coprolites

DNA in coprolites (Figure 1b) primarily comes from gut microbes, dietary elements, and the defecator (Rose et al. Reference Rose, Parker, Jefferson and Cartmell2015). The aDNA in coprolites provides the identity of the depositing organism and its gut microbiome, along with what it consumed on a given day. Coprolites, which were first genetically analyzed by Poinar and colleagues (Reference Poinar, Hofreiter, Geoffrey Spaulding, Martin, Artur Stankiewicz, Bland, Evershed, Possnert and Paabo1998), are often used to discuss the defecator and its diet. The floral and faunal components of coprolites are useful for reconstructing past diets in both human and nonhuman animals (Boast et al. Reference Boast, Weyrich, Wood, Metcalf, Knight and Cooper2018; Gilbert et al. Reference Gilbert, Jenkins, Götherstrom, Naveran, Sanchez, Hofreiter and Thomsen2008; Poinar et al. Reference Poinar, Kuch, Sobolik, Barnes, Stankiewicz, Kuder, Geofferey Spaulding, Bryant, Cooper and Paabo2001; Wood et al. Reference Wood, Rawlence, Rogers, Austin, Worthy and Cooper2008; Wood, Wilmshurst, Wagstaff et al. Reference Wood, Wilmshurst, Wagstaff, Worthy, Rawlence and Cooper2012; Wood, Wilmshurst, Worthy et al. Reference Wood, Wilmshurst, Worthy and Cooper2012; Wood et al. Reference Wood, Wilmshurst, Richardson, Rawlence, Wagstaff, Worthy and Cooper2013), and the microbial DNA has been used to study the gut microbiome (Lugli et al. Reference Lugli, Milani, Mancabelli, Turroni, Ferrario, Duranti, van Sinderen and Ventura2017; Santiago-Rodriguez et al. Reference Santiago-Rodriguez, Fornaciari, Luciani, Toranzos, Marota, Giuffra and Cano2017; Tito et al. Reference Tito, Knights, Metcalf, Obregon-Tito, Cleeland, Najar and Roe2012; Wibowo et al. Reference Wibowo, Yang, Borry, Hübner, Huang, Tierney and Zimmerman2021). Several researchers have studied defecator phylogenies and movements across a landscape (Botella et al. Reference Botella, Afonso Vargas, de la Rosa, Leles, Reimers, Vicente and Iniguez2010; Gilbert et al. Reference Gilbert, Jenkins, Götherstrom, Naveran, Sanchez, Hofreiter and Thomsen2008; Karpinski et al. Reference Karpinski, Mead and Poinar2017; Poinar et al. Reference Poinar, Kuch, McDonald, Martin and Paabo2003).

Unlike sediment, coprolites are not common to all archaeological sites and, when found, are present in varying amounts and differing states of preservation. Potential human coprolites are often found in middens or cesspits (Shillito et al. Reference Shillito, Blong, Green and Van Asperen2020) and may not be collected given that they can be difficult to distinguish from the surrounding sediment. Additionally, human coprolites can be similar in size, shape, and color to the coprolites of nonhuman animals such as canines, making identifications difficult without additional analysis. Although coprolites are primarily a source of dietary and environmental information, they can sometimes act as proxies for their depositing organism. Two broad categories of coprolite analysis are (1) analyses of nonhuman coprolites and (2) analyses of human coprolites. Regardless of their source, coprolites are finite. As with any archaeological or natural resource, sampling should only be done when there are either enough coprolites to leave a portion of the assemblage unanalyzed or when the coprolites are large enough that any sampling would not result in the destruction of the complete coprolite. An example of a large coprolite assemblage is that of Hind's Cave, Texas, where hundreds of coprolites were recovered and only a fraction analyzed (Dean Reference Dean2006), leaving most coprolites intact. As for coprolite size, fecal material weighing as little as 5 g can be used in a variety of macro, micro, and molecular analyses while still maintaining a voucher sample (Wood and Wilmshurst Reference Wood and Wilmshurst2016). Having one to a few coprolites at a site does not mean research cannot be conducted on them, but more care is needed to ensure that multiproxy analyses can take place.

An important consideration with coprolite analysis is that identifying the defecator may require some form of analysis, especially when distinguishing human from canine coprolites at North American sites. If coprolites come from environmental sites or are clearly nonhuman, such as the occasional mislabeled owl pellet, they can be considered as environmental traces. However, as a default, unknown coprolites recovered from archaeological sites should be considered human until additional analyses prove otherwise. In coprolite analysis, this requires either engaging in traditional identification methods by looking at the contents and rehydration liquid (Fry Reference Fry, Gilbert and Mielke1985; Reinhard and Bryant Reference Reinhard and Bryant1992) or doing genetic analyses (Borry et al. Reference Borry, Cordova, Perri, Wibowo, Honap, Ko and Yu2020; Knights et al. Reference Knights, Kuczynski, Charlson, Zaneveld, Mozer, Collman, Bushman, Knight and Kelley2011; Poinar et al. Reference Poinar, Kuch, McDonald, Martin and Paabo2003). As with sediment, preservation of human and other DNA may not be as good as in skeletal material. Even coprolites confirmed as human are not guaranteed to contain analyzable human DNA.

Birch Pitch and Other Chewed Materials

Birch pitch (for a similar material, see Figure 1c), an adhesive substance used for tasks including hafting, waterproofing, and mending vessels, is a more recent subject of DNA analysis. Small amounts of birch pitch can be common at European archaeological sites (Jensen et al. Reference Jensen, Niemann, Iversen, Fotakis, Gopalakrishnan, Vågene and Pedersen2019; Kashuba et al. Reference Kashuba, Kırdök, Damlien, Manninen, Nordqvist, Persson and Götherström2019; Mazza et al. Reference Mazza, Martini, Sala, Magi, Colombini, Giachi, Landucci, Lemorini, Modugno and Ribechini2006; Ottoni et al. Reference Ottoni, Borić, Cheronet, Sparacello, Dori, Coppa and Antonović2021; Rageot et al. Reference Rageot, Lepère, Henry, Binder, Davtian, Filippi and Fernandez2021; Sykes Reference Sykes, Coward, Hosfield, Pope and Wenban-Smith2015). Although birch pitch is not found in North American archaeological sites, other plant pitches, adhesives, and gums are found that could contain similar materials and genetic traces as birch pitch (Fox et al. Reference Fox, Heron and Sutton1995; Langejans et al. Reference Langejans, Aleo, Fajardo, Kozowyk and Aldenderfer2022). Pitches can be found with tooth and tool marks and, in some cases, fingerprints (Aveling and Heron Reference Aveling and Heron1999; Kashuba et al. Reference Kashuba, Kırdök, Damlien, Manninen, Nordqvist, Persson and Götherström2019; Sykes Reference Sykes, Coward, Hosfield, Pope and Wenban-Smith2015). Plant pitches that were chewed before use can contain DNA from humans, their diet, and their oral microbiome (Jensen et al. Reference Jensen, Niemann, Iversen, Fotakis, Gopalakrishnan, Vågene and Pedersen2019; Kashuba et al. Reference Kashuba, Kırdök, Damlien, Manninen, Nordqvist, Persson and Götherström2019; Lawton Reference Lawton2021; Ottoni et al. Reference Ottoni, Borić, Cheronet, Sparacello, Dori, Coppa and Antonović2021). Kashuba and colleagues (Reference Kashuba, Kırdök, Damlien, Manninen, Nordqvist, Persson and Götherström2019), the first to genetically analyze birch pitch, and Jensen and colleagues (Reference Jensen, Niemann, Iversen, Fotakis, Gopalakrishnan, Vågene and Pedersen2019) have shown that birch pitch can provide information about individuals, including their genetic affinities, their oral microbiomes, and their environmental and ecological contexts (Jensen et al. Reference Jensen, Niemann, Iversen, Fotakis, Gopalakrishnan, Vågene and Pedersen2019; Kashuba et al. Reference Kashuba, Kırdök, Damlien, Manninen, Nordqvist, Persson and Götherström2019; Rageot et al. Reference Rageot, Lepère, Henry, Binder, Davtian, Filippi and Fernandez2021; Stacey et al. Reference Stacey, Dunne, Brunning, Devièse, Mortimer, Ladd, Parfitt, Evershed and Bull2020). Quids—chewed wads of plant matter—are more common to North American archaeological sites than chewed pitches. Quids may display unique morphologies and can contain similar genetic information to pitches. LeBlanc and colleagues (Reference LeBlanc, Cobb Kreisman, Kemp, Smiley, Carlyle, Dhody and Benjamin2013) successfully extracted mitochondrial DNA from quids from the southwestern United States, identifying the haplogroups of the chewers.

Even if pitch and chewed materials are plentiful at a site or in a region, the amount that contains clear bite marks, fingerprints, and other distinct morphologies is smaller. Chewed materials can be divided into (1) fragments with no evidence of chewing and (2) fragments with clear evidence of chewing, such as bite marks. Fragments from the former may contain environmental DNA, but they should not be considered as a potential proxy for humans. Chewed materials may contain better preserved human DNA than coprolites and sediment, but due to their rarity, they are not good proxies.

Dental Calculus

Dental calculus (Figure 1d) is a mineralized biofilm commonly found on teeth that may contain DNA from oral microbes and the individual, along with food remains and environmental particles (Dagli et al. Reference Dagli, Dagli, Baroudi and Tarakji2015; Preus et al. Reference Preus, Marvik, Selvig and Bennike2011; Weyrich et al. Reference Weyrich, Dobney and Cooper2015). De La Fuente and colleagues (Reference De La Fuente, Flores and Moraga2013) were the first to successfully extract and sequence oral microbe DNA from dental calculus. The first high-throughput study of dental calculus DNA was done by Adler and colleagues (Reference Adler, Dobney, Weyrich, Kaidonis, Walker, Haak and Bradshaw2013), who studied questions of diet, pathology, and health. Dental calculus is well preserved, has relatively high DNA yields, and can be less susceptible to contamination compared to composites such as sediment and coprolites (Dagli et al. Reference Dagli, Dagli, Baroudi and Tarakji2015).

Because dental calculus is found on teeth, it is the only composite discussed here that can be explicitly associated with an individual. Dental calculus can be considered in one of two ways: (1) dental calculus is a biofilm that is separate from the individual, or (2) dental calculus, as it is formed in the body and is on teeth, is part of the individual. Although neither is inherently incorrect, they are two opposing viewpoints that would result in different concerns around studying dental calculus. If dental calculus is viewed as a biofilm, its sampling is not under the same ethical considerations as if the tooth were sampled. Our view is that dental calculus, as it is found on teeth and is directly linked to an individual, should be treated in the same way as the tooth.

Working with Composites: An Overview

A benefit to working with composites—beyond the information they can provide about diets, environments, microbiomes, and change over time—is that composites sampled from certain contexts can be used to study human genetics while avoiding the destruction of Ancestral remains. The potentially lower genetic yields from extracting DNA from composites and the possibility that no human DNA is found are acceptable trade-offs to avoid sampling Ancestral remains. However, the sampling and analysis of human DNA from composites cannot be seen as a workaround for collaboration and communication with descendants and other stakeholders (Tsosie et al. Reference Tsosie, Begay, Fox and Nanibaa'A.2020).

ETHICAL ISSUES IN ANCIENT DNA RESEARCH

The ethics of doing research on composites can be informed by the issues that have been raised in discussions surrounding the genetic analysis of Ancestors. At the forefront of this discussion are concerns around studying aDNA, primarily as it relates to historic mistrust, context and interpretation, and access.

Historic Mistrust

Studying Ancestor remains and belongings, including composites, is integral to archaeological research in the United States, but historically, it has been done with little discussion with or involvement of descendant communities. Through much of its history, archaeology was the purview of Western archaeologists who took upon themselves primary authority to analyze, interpret, and represent cultures with which they were not affiliated (Atalay Reference Atalay2006; Colwell Reference Colwell2016; Colwell-Chanthaphonh et al. Reference Colwell-Chanthaphonh, Ferguson, Lippert, McGuire, Nicholas, Watkins and Zimmerman2010; Nassaney Reference Nassaney2021; Prendergast and Sawchuk Reference Prendergast and Sawchuk2018; Tsosie et al. Reference Tsosie, Begay, Fox and Nanibaa'A.2020; Van Dyke Reference Van Dyke2020; Wilcox Reference Wilcox2010). These research practices were centered on Western viewpoints and exploited the pasts of descendant groups without taking care to ensure that the knowledge gained benefited them. The lack of recognized descendant autonomy over cultural and physical remains and the failure of archaeologists to include descendants in the research process have contributed to a culture of mistrust between descendant communities and archaeologists. This same mistrust and historic exclusion is seen in genetic research when Indigenous populations faced a lack of control over Ancestor remains, cultural artifacts, and data (Claw et al. Reference Claw, Lippert, Bardill, Cordova, Fox, Yracheta and Bader2017; Colwell Reference Colwell2018; Garrison et al. Reference Garrison, Hudson, Ballantyne, Garba, Martinez, Taualii, Arbour, Caron and Rainie2019; Handsley-Davis et al. Reference Handsley-Davis, Kowal, Russell and Weyrich2021; Malhi and Bader Reference Malhi and Bader2015; Tackney and Raff Reference Tackney and Raff2019; Tsosie et al. Reference Tsosie, Begay, Fox and Nanibaa'A.2020; Van Dyke Reference Van Dyke2020; Wilcox Reference Wilcox2010). Indigenous communities are increasingly involved in the planning and interpretation of archaeogenetic research, but this development is unfolding against the backdrop of hundreds of years of exploitation and marginalization of Indigenous peoples in North America (Nassaney Reference Nassaney2021; Van Dyke Reference Van Dyke2020).

Context and Interpretation

Studies focused on tracing the genetic histories of multiple diverse people groups can be extensive. Although these analyses are useful and necessary for broad characterizations, the detection of trends, and evolutionary studies, researchers do not always engage with the cultural context of or the Indigenous knowledge about the Ancestors they study. This lack of engagement and potential disregard for traditional ways of knowing and cultural data can be common in paleogenetic studies (Crellin and Harris Reference Crellin and Harris2020; Fox Reference Fox2019; Gokcumen and Frachetti Reference Gokcumen and Frachetti2020; Tackney and Raff Reference Tackney and Raff2019). Genetic data that are separated from their cultural context or used in ways not consented to by descendant communities run the risk of being interpreted in ways that contradict the oral and historic traditions of descendant groups. This disjunct can harm a group's or an individual's sense of self and may remove nuance from data interpretation in favor of simpler, straightforward narratives (Austin et al. Reference Austin, Sholts, Williams, Kistler and Hofman2019; Crellin and Harris Reference Crellin and Harris2020; Hakenbeck Reference Hakenbeck2019). Additionally, genetic data have the potential to cause lasting harm to Indigenous peoples by weakening land claims and political standings, stigmatizing groups, and playing into racist ideologies (Garrison et al. Reference Garrison, Hudson, Ballantyne, Garba, Martinez, Taualii, Arbour, Caron and Rainie2019; Handsley-Davis et al. Reference Handsley-Davis, Kowal, Russell and Weyrich2021; Nassaney Reference Nassaney2021).

Access

Access relates to data stewardship and to the ability to participate in aDNA work. From a research perspective, it is standard practice to publicly share paleogenomic datasets, and in fact, such sharing is often a requirement for publication (Alpaslan-Roodenberg et al. Reference Alpaslan-Roodenberg, Anthony, Babiker, Bánffy, Booth, Capone and Deshpande-Mukherjee2021; Anagnostou et al. Reference Anagnostou, Capocasa, Milia, Sanna, Battaggia, Luzi and Bisol2015; Sedig Reference Sedig2019). Few standards exist regarding data format and content. The result is a variety of databases in different formats that have different rules for access and differing amounts of associated metadata (Fox Reference Fox2019; Fox and Hawks Reference Fox and Hawks2019; Powell Reference Powell2021). However, a greater concern is the frequent lack of access or control that descendant communities have over data generated from their Ancestors (Fleskes et al. Reference Fleskes, Bader, Tsosie, Wagner, Claw and Garrison2022; Mackey et al. Reference Mackey, Calac, Chenna Keshava, Yracheta, Tsosie and Fox2022; Tsosie et al. Reference Tsosie, Begay, Fox and Nanibaa'A.2020). Publicly sharing genetic datasets without full collaboration with Indigenous communities largely benefits researchers while potentially harming descendant communities, and not all cultural knowledge or genetic information is meant for public consumption (Carney et al. Reference Carney, Diedrich, Blong, Guedes, Fulkerson, Kite, Leonard-Doll, LeCompte-Mastenbrook, Tushingham and Zimmermann2022; Fleskes et al. Reference Fleskes, Bader, Tsosie, Wagner, Claw and Garrison2022; Kowal et al. Reference Kowal, Weyrich, Argüelles, Bader, Colwell, Cortez and Davis2023; Nassaney Reference Nassaney2021; Van Dyke Reference Van Dyke2020).

Archaeological materials, including composites, are finite resources. Researchers must rely on either existing collections or new excavations. DNA from newly excavated material is generally better preserved, but additional DNA degradation can occur when samples are stored in less than ideal conditions. This additional degradation can make destructive aDNA analyses (Figure 2) less feasible and less justifiable (Brunson Reference Brunson2019; Brunson and Reich Reference Brunson and Reich2019; Fleskes et al. Reference Fleskes, Bader, Tsosie, Wagner, Claw and Garrison2022; Fox and Hawks Reference Fox and Hawks2019; Pálsdóttir et al. Reference Pálsdóttir, Bläuer, Rannamäe, Boessenkool and Hallsson2019; Pruvost et al. Reference Pruvost, Schwarz, Correia, Champlot, Braguier, Morel, Fernandez-Jalvo, Grange and Geigl2007; Sirak and Sedig Reference Sirak and Sedig2019). Ancestor remains are irreplaceable, and once they are destroyed for genetic analysis, they cannot be reconstructed, studied in nondestructive ways, or returned to descendants. The result of small amounts of available materials, the high costs of genetic research, the need for dedicated facilities, and the specialized knowledge required for genomics is that most studies are performed by a few prominent labs (Austin et al. Reference Austin, Sholts, Williams, Kistler and Hofman2019; Callaway Reference Callaway2017; Fleskes et al. Reference Fleskes, Bader, Tsosie, Wagner, Claw and Garrison2022; Fox Reference Fox2019; Fox and Hawks Reference Fox and Hawks2019; Lewis-Kraus Reference Lewis-Kraus2019; Makarewicz et al. Reference Makarewicz, Marom and Bar-Oz2017; Mulligan Reference Mulligan2006; Pálsdóttir et al. Reference Pálsdóttir, Bläuer, Rannamäe, Boessenkool and Hallsson2019; Prendergast and Sawchuk Reference Prendergast and Sawchuk2018; Sedig Reference Sedig2019). This has led to a research landscape that too often prevents descendant communities, along with smaller labs and research groups, from accessing materials or engaging in archaeogenetic research without collaborating with or giving research control to one of the larger groups (Lewis-Kraus Reference Lewis-Kraus2019; Somel et al. Reference Somel, Altınışık, Özer and Ávila-Arcos2021). Furthermore, cultural material and genetic samples are often stored in academic institutions or museums that may be far removed from descendants (Colwell-Chanthaphonh et al. Reference Colwell-Chanthaphonh, Ferguson, Lippert, McGuire, Nicholas, Watkins and Zimmerman2010; Lippert Reference Lippert2006; Nilsson Stutz Reference Nilsson Stutz2018; Wilcox Reference Wilcox2010). When descendants are not involved in research, they can lack access to their physical past and to the interpretation of that past (Atalay Reference Atalay2006; Handsley-Davis et al. Reference Handsley-Davis, Kowal, Russell and Weyrich2021).

FIGURE 2. Representation of the destructive nature of composite research: (a) whole paleofecal sample before subsampling; (b) exterior was removed and the sample cut in half. Subsamples for aDNA analysis were collected from the center and homogenized; (c) half the remaining material was disaggregated for macroremains and microremains analysis. (Photos provided by Taryn Johnson.)

A Cautionary Tale

Researchers extracted DNA from nine ancestors interred with funerary objects from Pueblo Bonito in Chaco Canyon with the goal of adding genetic data to archaeological debates about the role of kinship in the development of complex societies. They found that the individuals shared mitochondrial genomes and represented an elite matriline. The researchers further determined the relatedness of six of the Ancestors by genotyping single-nucleotide polymorphisms (SNPs) from their nuclear DNA (Kennet et al. Reference Kennett, Plog, George, Culleton, Watson, Skoglund and Rohland2017). Consultation of local tribes was not legally required because the Ancestors were considered culturally unaffiliated by their housing institution. This study now serves as an example of how a lack of descendant collaboration in research can cause harm. Claw and colleagues (Reference Claw, Lippert, Bardill, Cordova, Fox, Yracheta and Bader2017) brought up three main concerns with the study: (1) tribal groups were not consulted, (2) some data descriptions were culturally insensitive, and (3) the researchers did not consider how the study might affect descendants. Tribal knowledge also includes descriptions of matrilineal structures, which would have aided interpretation and put the findings in a broader cultural context. The study had the added effect of degrading long-term collaborative relationships between descendant communities and regional archaeologists (Claw et al. Reference Claw, Lippert, Bardill, Cordova, Fox, Yracheta and Bader2017; Cortez et al. Reference Cortez, Bolnick, Nicholas, Bardill and Colwell2021; Van Dyke Reference Van Dyke2020).

FRAMEWORKS FOR PLANNING COLLABORATIVE RESEARCH

As with all archaeological research, composite aDNA studies should start with a clear research question, and collaborators need to consider whether DNA is needed to answer it (Figure 3). Would genetic data give new information or provide additional evidence in support of an existing theory? Will the findings be novel? Can the results be gained only through DNA analysis? Could less destructive methods be used? Destructive sampling should only be done if the possible results are worth destroying the composite and if the generated data could benefit community partners without causing harm (Fox and Hawks Reference Fox and Hawks2019; Handsley-Davis et al. Reference Handsley-Davis, Kowal, Russell and Weyrich2021; Sirak and Sedig Reference Sirak and Sedig2019). Composite work is multiproxy and should not be limited to genetic analyses. Composites can contain macrobotanical and faunal remains, pollen, starch, phytoliths, parasites, proteins, fatty acids, and other biomolecules in addition to DNA. All these contents can provide valuable information about how an individual interacted with the world through health, food, and the environment. Multiproxy composite analyses allow for individuals to be placed in a larger cultural context, and they likely require interdisciplinary teams. Researchers need to be open with community partners about the full range of analyses that could be done using composites and discuss if nondestructive or less destructive methods of analysis are better suited to the research.

FIGURE 3. Example research flow for planning composite genetic research. First, a research question is established, and whether DNA analysis is needed to answer it is considered. Researchers collaboratively engage with stakeholders, integrate stakeholder goals into the research plan, and discuss data dissemination. The sequencing method can be chosen based on the type of data needed and whether stakeholder consent was given.

In terms of research, aDNA work, even on composites, is destructive. Composites should be fully documented and conservatively subsampled (Alpaslan-Roodenberg et al. Reference Alpaslan-Roodenberg, Anthony, Babiker, Bánffy, Booth, Capone and Deshpande-Mukherjee2021; Brunson and Reich Reference Brunson and Reich2019; Pálsdóttir et al. Reference Pálsdóttir, Bläuer, Rannamäe, Boessenkool and Hallsson2019; Sirak and Sedig Reference Sirak and Sedig2019). Even if nongenetic analyses are not planned at the time of sampling, responsible composite research should involve subsampling for other analyses along with DNA subsampling. Sampling once allows for multiple analyses to be conducted without repeated handling and destruction of the composite (for an example of a subsampling procedure, see Blong et al. Reference Blong, Whelton, van Asperen, Bull and Shillito2023). Documentation for morphologically indistinct composites such as sediment and dental calculus may include provenience, subsample weight, and composition. Additional documentation is needed for morphologically distinct composites such as coprolites and birch pitch. Coprolites, for example, can be photographed, weighed, measured, and qualitatively described using traits such as color, shape, state of preservation, taphonomic modifications, and presence of inclusions (Jouy-Avantin et al. Reference Jouy-Avantin, Debenath, Moigne and Moné2003; Wood and Wilmshurst Reference Wood and Wilmshurst2016). Birch pitch may be physically described, photographed, scanned, or used to make a mold (Jensen et al. Reference Jensen, Niemann, Iversen, Fotakis, Gopalakrishnan, Vågene and Pedersen2019; Kashuba et al. Reference Kashuba, Kırdök, Damlien, Manninen, Nordqvist, Persson and Götherström2019). Any DNA extraction should be done using established protocols developed for the composite type (Epp et al. Reference Epp, Zimmermann and Stoof-Leichsenring2019; Hagan et al. Reference Hagan, Hofman, Hübner, Reinhard, Schnorr, Lewis, Sankaranarayanan and Warinner2020; Jensen et al. Reference Jensen, Niemann, Iversen, Fotakis, Gopalakrishnan, Vågene and Pedersen2019).

At a bare minimum, research plans should align with the rules and regulations of where the composites are from and where the research is being conducted; this includes regulations from the local to national level (Alpaslan-Roodenberg et al. Reference Alpaslan-Roodenberg, Anthony, Babiker, Bánffy, Booth, Capone and Deshpande-Mukherjee2021; Claw et al. Reference Claw, Anderson, Begay, Tsosie, Fox and Nanibaa'A.2018; Kowal et al. Reference Kowal, Weyrich, Argüelles, Bader, Colwell, Cortez and Davis2023; Pálsdóttir et al. Reference Pálsdóttir, Bläuer, Rannamäe, Boessenkool and Hallsson2019). However, composites and the Ancestor DNA they may contain are often excluded from current guidelines and discussions, which predominantly focus on genetic analyses of Ancestral remains (Makarewicz et al. Reference Makarewicz, Marom and Bar-Oz2017; Squires et al. Reference Squires, Booth and Roberts2019). This exclusion does not mean that composites are a way around collaboration, ethical research practices, and legal requirements. Additionally, although legal and biomedical frameworks in the United States are not comprehensive and do not offer aDNA or composites the same protections and regulations as Ancestor remains and living subjects (Fleskes et al. Reference Fleskes, Bader, Tsosie, Wagner, Claw and Garrison2022), they can act as a baseline when planning research. In a fully collaborative, open framework, community partners are included in the creation and implementation of the research plan, and their research goals are equally considered to those of the researchers (Alpaslan-Roodenberg et al. Reference Alpaslan-Roodenberg, Anthony, Babiker, Bánffy, Booth, Capone and Deshpande-Mukherjee2021; Fox and Hawks Reference Fox and Hawks2019; Matisoo-Smith Reference Matisoo-Smith2019; Sirak and Sedig Reference Sirak and Sedig2019; Wagner et al. Reference Wagner, Colwell, Claw, Stone, Bolnick, Hawks, Brothers and Nanibaa'A.2020). This improves research transparency, expands research goals, and helps establish relationships of trust between researchers and other stakeholders (Claw et al. Reference Claw, Anderson, Begay, Tsosie, Fox and Nanibaa'A.2018; Handsley-Davis et al. Reference Handsley-Davis, Kowal, Russell and Weyrich2021; Tackney and Raff Reference Tackney and Raff2019).

Legal and Biomedical Frameworks: NAGPRA and the Belmont Report

In the United States, the Native American Graves Protection and Repatriation Act of 1990, or NAGPRA, provides legal protections for human remains, funerary objects, sacred objects, and objects of cultural patrimony. This legislation rarely applies to composites and does not prohibit DNA analysis (Fleskes et al. Reference Fleskes, Bader, Tsosie, Wagner, Claw and Garrison2022; Van Dyke Reference Van Dyke2020), but the consultation process that NAGPRA inspires (but, significantly, does not require) can serve as a guide during the planning phase of a research project. The concept of stakeholder engagement, which involves early and frequent communication with stakeholders, is central to the NAGPRA document (United Nations Evaluation Group 2017). The basic consultation steps involve identifying stakeholders, sharing research information, discussing how the consultation process should proceed, and disseminating data at the conclusion of the project (Bureau of Land Management 2016; Monette et al. Reference Monette, Greenwood, Gonzales-Rogers, Durham, Johnson and Aikin2018).

A related biomedical framework is the standardized treatment of humans by biomedical researchers. The Belmont Report, a response to the infamous “Tuskegee Study of Untreated Syphilis in the Negro Male in the United States,” emphasizes that researchers need to treat people with respect and to avoid causing harm. The report provides a framework for the treatment of living subjects centered on three ethical principles: (1) respect for persons, (2) beneficence, and (3) justice, which in practice calls researchers to respect personal autonomy, minimize harms, and do research in ways that benefit affected communities (National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research 1979). Another principle outlined in the Belmont Report is voluntary participation. The deceased cannot give informed consent, so for ancient genetic analyses, it falls to descendant communities to consent to research. If the letter of the law is followed, composite research is rarely subject to consultation. Therefore, although NAGPRA and the Belmont Report can provide some guidance, their specific focus on living humans and Ancestor remains necessitates the development of an ethical framework specifically for composites.

Collaborative Frameworks

Stakeholders are the individuals, communities, museums, and other institutions that have cultural or professional connections to a study (Alpaslan-Roodenberg et al. Reference Alpaslan-Roodenberg, Anthony, Babiker, Bánffy, Booth, Capone and Deshpande-Mukherjee2021; Pálsdóttir et al. Reference Pálsdóttir, Bläuer, Rannamäe, Boessenkool and Hallsson2019). We recognize that descendant communities often have strong, vested interests in aDNA research extending beyond those of generic “stakeholders.” However, for ease of conversation, we are including them within the broader category of stakeholders in this discussion. Stakeholders may include descendant populations and local, state, national, and tribal entities, in addition to archaeologists, other researchers, and curating institutions. When researchers work with Indigenous North American materials, the stakeholders include the modern tribal or Indigenous groups, including both lineal and cultural descendant communities. Collections managers and other museum professionals who are often involved in curating composites, who engage in conversations with the descendant communities whose objects they house, and who approve research proposals involving destructive analysis should also be included in conversations about the potential benefits and limitations of proposed research.

Composite research—and more broadly, archaeology—is inherently collaborative work that integrates multiple perspectives and methods. Working with stakeholders on an egalitarian basis creates space for combining multiple viewpoints that go beyond the Western framework and leads to better science (Colwell-Chanthaphonh et al. Reference Colwell-Chanthaphonh, Ferguson, Lippert, McGuire, Nicholas, Watkins and Zimmerman2010; Nilsson Stutz Reference Nilsson Stutz2018). Studies need to be considered within their own contexts, and one viewpoint or a single approach cannot give a complete picture of the past. Opening the work to differing viewpoints, ways of knowing, and cultural knowledge leads to a more nuanced, fuller view of the past that shifts the focus of research back onto human questions (Colwell Reference Colwell2016; Colwell-Chanthaphonh et al. Reference Colwell-Chanthaphonh, Ferguson, Lippert, McGuire, Nicholas, Watkins and Zimmerman2010). Inclusivity further allows archaeology to both contend with and build on its past and inform contemporary debates and solutions (McAnany and Rowe Reference McAnany and Rowe2015; Nilsson Stutz Reference Nilsson Stutz2018).

Involved communities should include those who are culturally affiliated and those with links to the Ancestors, and communication should occur throughout a research project. This means that communities and local research groups are equal partners in all parts of the research process. In cases where descendant communities cannot be identified, where there are conflicts, or where community consent is withdrawn, research may need to stop (Fleskes et al. Reference Fleskes, Bader, Tsosie, Wagner, Claw and Garrison2022; Kowal et al. Reference Kowal, Weyrich, Argüelles, Bader, Colwell, Cortez and Davis2023). Researchers who decide to move forward with research need to explicitly state why moving forward is justifiable. The goals of engagement should be focused on collaboration and building competency (Claw et al. Reference Claw, Anderson, Begay, Tsosie, Fox and Nanibaa'A.2018; Tackney and Raff Reference Tackney and Raff2019; Wagner et al. Reference Wagner, Colwell, Claw, Stone, Bolnick, Hawks, Brothers and Nanibaa'A.2020). Researchers should assess how composites are viewed by the relevant communities and ensure that all project terminology, documentation, and goals align with their belief structures. All aspects of research should be discussed before and throughout a project (Alpaslan-Roodenberg et al. Reference Alpaslan-Roodenberg, Anthony, Babiker, Bánffy, Booth, Capone and Deshpande-Mukherjee2021; Garrison et al. Reference Garrison, Hudson, Ballantyne, Garba, Martinez, Taualii, Arbour, Caron and Rainie2019; Matisoo-Smith Reference Matisoo-Smith2019; Wagner et al. Reference Wagner, Colwell, Claw, Stone, Bolnick, Hawks, Brothers and Nanibaa'A.2020), and discussion should occur before any sampling is done (Tackney and Raff Reference Tackney and Raff2019). Communicating openly and on an equal basis with communities and individuals who have cultural and historical connections to research opens the door for true collaboration.

Including community members enables them to educate professional researchers about their past and their concerns about research plans (Atalay Reference Atalay2006; Colwell Reference Colwell2016; Colwell-Chanthaphonh et al. Reference Colwell-Chanthaphonh, Ferguson, Lippert, McGuire, Nicholas, Watkins and Zimmerman2010; McAnany and Rowe Reference McAnany and Rowe2015). This leads to a shift from archaeological gatekeeping to a more collaborative framework that has modern relevance, that benefits descendant communities, and that has a wider audience. Giving equal consideration to other views can lead to new research avenues and reveal theoretical and personal biases in data interpretation while putting materials in context and bringing broader understanding (Brunson and Reich Reference Brunson and Reich2019; Colwell Reference Colwell2016; Colwell-Chanthaphonh et al. Reference Colwell-Chanthaphonh, Ferguson, Lippert, McGuire, Nicholas, Watkins and Zimmerman2010; Fox and Hawks Reference Fox and Hawks2019; Kiddey Reference Kiddey2020; McAnany and Rowe Reference McAnany and Rowe2015; Nassaney Reference Nassaney2021).

DATA GENERATION

A Quick Guide to Genetic Sequencing Methods

Different sequencing methods will yield different types and amounts of information, allowing collaborators to choose methods that are best suited to the goals of the project. For any aDNA project using composites, the goal should be to choose methods that result in the least amount of destruction with the greatest yield of the target DNA. Once DNA has been extracted from a composite, it may be amplified and sequenced. Amplification involves copying extracted DNA to create millions of new copies; sequencing refers to identifying the order of bases (adenine, guanine, thymine, cytosine) in each strand of DNA. Ancient DNA methods are summarized in detail elsewhere (Liu et al. Reference Liu, Andrew Bennett and Fu2022; Orlando et al. Reference Orlando, Allaby, Skoglund, Sarkissian, Stockhammer, Ávila-Arcos and Fu2021). Here, we briefly describe Sanger sequencing, metabarcoding, and shotgun sequencing to provide a short introduction for individuals unfamiliar with genetic analyses.

Sanger Sequencing

Sanger sequencing is not commonly used in composite genetic research, although there are cases where it may be useful (Linderholm Reference Linderholm2015). Examples include, but are not limited to, quickly and affordably testing for the presence of certain organisms before engaging in more costly sequencing methods, identifying macroremains within composites, and, in the case of coprolites, identifying possible sources. In Sanger sequencing, researchers identify a target gene in an organism and create primers, or short strands of DNA, that match the targeted gene. When these primers are used in amplification, only the target is amplified and sequenced (Sanger and Coulson Reference Sanger and Coulson1975). The cost per sequencing run is negligible, but it also yields the least amount of data. Sanger sequencing is the least time intensive and requires no specialized bioinformatics training, because it only yields a single genetic sequence. Although not discussed here, methods including DNA capture techniques and zooarchaeology by mass spectrometry (ZooMS) can be a more cost-effective, less destructive, more accurate way to identify specific composite contents than Sanger sequencing (Liu et al. Reference Liu, Andrew Bennett and Fu2022; Richter et al. Reference Richter, Codlin, Seabrook and Warinner2022).

Metabarcoding

Metabarcoding is widely used to monitor genetic biodiversity (Bohmann et al. Reference Bohmann, Elbrecht, Carøe, Bista, Leese, Bunce, Yu Douglas, Seymour, Dumbrell and Creer2022), and the method is useful for identifying specific groups of organisms in composites. Like Sanger sequencing, metabarcoding involves targeted amplification and sequencing but uses universal primers. Universal primers match a target gene that is common to a group of organisms. Two examples of universal primers are trnL, which targets plants, and 12sv5, which targets vertebrates (Pedersen et al. Reference Pedersen, Overballe-Petersen, Ermini, Sarkissian, Haile, Hellstrom and Spens2015; Staats et al. Reference Staats, Arulandhu, Gravendeel, Holst-Jensen, Scholtens, Peelen, Prins and Kok2016). A study using trnL will not amplify human or other animal DNA, whereas a study using 12sv5 may amplify human DNA along with that of other vertebrates. Metabarcoding studies are often based on ubiquity, meaning that amplified human DNA is not likely to yield any information other than human presence. Additionally, when human DNA is not specifically targeted, the human DNA is often considered contamination and removed from the dataset before conducting analyses (Alsos et al. Reference Alsos, Lammers, Yoccoz, Jorgensen, Sjogren, Gielly and Edwards2018; Giguet-Covex et al. Reference Giguet-Covex, Pansu, Arnaud, Rey, Griggo, Gielly and Domaizon2014; Seersholm et al. Reference Seersholm, Werndly, Grealy, Johnson, Early, Lundelius and Winsborough2020). DNA metabarcoding is more costly than Sanger sequencing per run—although it is cheaper per base pair—and requires more intensive bioinformatics processing given than multiple samples are often pooled to be sequenced simultaneously (Bohmann et al. Reference Bohmann, Elbrecht, Carøe, Bista, Leese, Bunce, Yu Douglas, Seymour, Dumbrell and Creer2022). For example, metabarcoding has utility in analyses such as environmental reconstruction from sediment. The results will be a list of present taxa, and samples from different stratigraphic layers can be sequenced in tandem. The basic steps, as described by Mathon and colleagues (Reference Mathon, Valentini, Guérin, Normandeau, Noel, Lionnet and Boulanger2021), are demultiplexing, dereplication, quality filtering, error removal, and taxonomic assignment. These mean that DNA from individual samples is first separated, after which highly similar DNA is grouped together and represented by a single sequence. Quality filtering involves removing sequences from the dataset that are the wrong length or have ambiguous bases, and error removal removes any sequences that were formed via errors in amplification or sequencing. Taxonomic assignments are made by comparing the resultant DNA sequences to reference genetic databases (Mathon et al. Reference Mathon, Valentini, Guérin, Normandeau, Noel, Lionnet and Boulanger2021). Metabarcoding can yield millions more reads than Sanger sequencing, and the DNA is best used for taxonomic identifications.

Shotgun Sequencing

Shotgun sequencing allows researchers to both identify composite contents and analyze the full genomes of those contents. Unlike the previous methods, shotgun sequencing is not targeted. Ancient DNA is made up of small DNA fragments from across a genome, and in composites, this means that the DNA comes from the genomes of several organisms. Whereas the targeted methods will pick out only certain fragments, untargeted methods result in the sequencing of a representative sample of all fragments (Knapp and Hofreiter Reference Knapp and Hofreiter2010). Because of this, shotgun sequencing will sequence any human, faunal, floral, and microbial DNA in a composite even if the researcher does not plan on analyzing it. Of the three sequencing methods discussed, shotgun sequencing is the most used method in composite research because it yields the most data; however, it costs more per run than other methods (although less per base pair) and requires the most data processing. Given that shotgun sequenced datasets are composed of fragments of DNA from across the genomes of multiple organisms, the DNA sequences first need to be assembled into their respective genomes; this entails aligning the fragments using existing genetic datasets as reference. After assembly, the DNA can be partitioned into groups for further analysis. For example, a paleofecal dataset may be divided into DNA belonging to humans, dietary taxa, parasites, and microbes. Each group of data can then be separately processed and analyzed according to the goals of the project.

DATA DISSEMINATION AND CURATION

As shown in the above section, genetic data from composites could be in the form of single sequences belonging to one organism or individual, a collection of representative gene sequences belonging to multiple organisms or individuals, or a range of sequences from across genomes belonging to multiple organisms or individuals. Researchers should develop and implement a plan at project outset for managing data, reporting results, and storing data. Discussions about the dissemination of this genetic data center around the concepts of data sharing and data sovereignty (Alpaslan-Roodenberg et al. Reference Alpaslan-Roodenberg, Anthony, Babiker, Bánffy, Booth, Capone and Deshpande-Mukherjee2021; Carney et al. Reference Carney, Diedrich, Blong, Guedes, Fulkerson, Kite, Leonard-Doll, LeCompte-Mastenbrook, Tushingham and Zimmermann2022; Claw et al. Reference Claw, Anderson, Begay, Tsosie, Fox and Nanibaa'A.2018; Fox Reference Fox2019; Pálsdóttir et al. Reference Pálsdóttir, Bläuer, Rannamäe, Boessenkool and Hallsson2019; Sirak and Sedig Reference Sirak and Sedig2019; Wagner et al. Reference Wagner, Colwell, Claw, Stone, Bolnick, Hawks, Brothers and Nanibaa'A.2020). Open data sharing, where all information and results are publicly available, may be a requirement of publication. Journals including PLoS ONE, Science, and Nature require that data be made available upon publication, whereas journals such as PNAS strongly encourage data publishing but allow concessions for ethical concerns. Open data sharing allows for reanalysis and lessens the need to resample, but the benefits of publicly available data need to be weighed against the harm communities may face if sensitive information is published. A response to this need is increased Indigenous data sovereignty, whereby Indigenous peoples maintain ownership over data and moderate both access to and use of the data by researchers and communities (Carney et al. Reference Carney, Diedrich, Blong, Guedes, Fulkerson, Kite, Leonard-Doll, LeCompte-Mastenbrook, Tushingham and Zimmermann2022; Garrison et al. Reference Garrison, Hudson, Ballantyne, Garba, Martinez, Taualii, Arbour, Caron and Rainie2019; Mackey et al. Reference Mackey, Calac, Chenna Keshava, Yracheta, Tsosie and Fox2022). Information may be shared in Indigenous databases, with neutral third parties, in open-access databases, or in restricted-access databases (Alpaslan-Roodenberg et al. Reference Alpaslan-Roodenberg, Anthony, Babiker, Bánffy, Booth, Capone and Deshpande-Mukherjee2021) depending on the needs of stakeholders.

Results should be written in a manner that respects the people being discussed and should be shared in a location and format that is accessible (Alpaslan-Roodenberg et al. Reference Alpaslan-Roodenberg, Anthony, Babiker, Bánffy, Booth, Capone and Deshpande-Mukherjee2021; Tackney and Raff Reference Tackney and Raff2019; Tsosie et al. Reference Tsosie, Begay, Fox and Nanibaa'A.2020). Stakeholders should be involved in the review process and be able to request both redactions and technical corrections on manuscripts (Fleskes et al. Reference Fleskes, Bader, Tsosie, Wagner, Claw and Garrison2022). Although results are likely to be published in peer-reviewed journals, dissemination of results can go beyond academic publications. Plans for data sharing can include publishing results on an organization's website, writing social media updates, giving public talks, agreeing to interviews about the work, and presenting at conferences.

CONCLUSION

Composites can be used to answer a variety of research questions regarding human identity and their interactions with dietary and environmental landscapes. Although composites can additionally act as proxies, their analysis cannot be seen as a workaround to collaborating fully with descendant communities and other stakeholders. The current discourse about ethically working with human remains serves as an excellent starting point for discussing composite work, given that established frameworks, ethical principles, and guidelines can be applied directly to research on composites from the United States. These frameworks call for establishing clear research plans and maintaining open, honest communication. Only research that has been fully discussed with stakeholders should be performed, and care should be taken to include stakeholders as full and equal collaborators throughout the project. Transparent, well-thought-out studies can help continue, improve, and forge new relationships between stakeholders, researchers, and the broader public, leading to fuller interpretation of data and additional research opportunities.

Acknowledgments

We thank the descendant communities we work with and will be working with. Thanks also to T. Goebel, R. Aramayo, the editor, and the numerous reviewers whose input and encouragement resulted in a much-improved manuscript. No permit was required for this work.

Funding Statement

This research received no specific grant from any funding agency or commercial or not-for-profit sectors.

Data Availability Statement

No original data were used.

Competing Interest

The authors declare none.

References

REFERENCES CITED

Adler, Christina J., Dobney, Keith, Weyrich, Laura S., Kaidonis, John, Walker, Alan W., Haak, Wolfgang, Bradshaw, Corey J. A., et al. 2013. Sequencing Ancient Calcified Dental Plaque Shows Changes in Oral Microbiota with Dietary Shifts of the Neolithic and Industrial Revolutions. Nature Genetics 45(4):450455.10.1038/ng.2536CrossRefGoogle ScholarPubMed
Alpaslan-Roodenberg, Songül, Anthony, David, Babiker, Hiba, Bánffy, Eszter, Booth, Thomas, Capone, Patricia, Deshpande-Mukherjee, Arati, et al. 2021. Ethics of DNA Research on Human Remains: Five Globally Applicable Guidelines. Nature 599(7883):4146.10.1038/s41586-021-04008-xCrossRefGoogle ScholarPubMed
Alsos, Inger G., Lammers, Youri, Yoccoz, Nigel G., Jorgensen, Tina, Sjogren, Per, Gielly, Ludovic, and Edwards, Mary E.. 2018. Plant DNA Metabarcoding of Lake Sediments: How Does It Represent the Contemporary Vegetation. PLoS ONE 13(4):e0195403. https://doi.org/10.1371/journal.pone.0195403.CrossRefGoogle ScholarPubMed
Anagnostou, Paolo, Capocasa, Marco, Milia, Nicola, Sanna, Emanuele, Battaggia, Cinzia, Luzi, Daniela, and Bisol, Giovanni Destro. 2015. When Data Sharing Gets Close to 100%: What Human Paleogenetics Can Teach the Open Science Movement. PLoS ONE 10(3):e0121409. https://doi.org/10.1371/journal.pone.0121409.CrossRefGoogle ScholarPubMed
Anderson-Carpenter, Lynn L., McLachlan, Jason S., Jackson, Stephen T., Kuch, Melanie, Lumibao, Candice Y., and Poinar, Hendrik N.. 2011. Ancient DNA from Lake Sediments: Bridging the Gap between Paleoecology and Genetics. BMC Evolutionary Biology 11(1):30.10.1186/1471-2148-11-30CrossRefGoogle Scholar
Andresen, Camilla S., Björck, Svante, Bennike, Ole, and Bond, Gerard. 2004. Holocene Climate Changes in Southern Greenland: Evidence from Lake Sediments. Journal of Quaternary Science 19(8):783795.10.1002/jqs.886CrossRefGoogle Scholar
Armbrecht, Linda H., Coolen, Marco J. L., Lejzerowicz, Franck, George, Simon C., Negandhi, Karita, Suzuki, Yohey, Young, Jennifer, et al. 2019. Ancient DNA from Marine Sediments: Precautions and Considerations for Seafloor Coring, Sample Handling and Data Generation. Earth-Science Reviews 196:102887. https://doi.org/10.1016/j.earscirev.2019.102887.CrossRefGoogle Scholar
Atalay, Sonya. 2006. Indigenous Archaeology as Decolonizing Practice. American Indian Quarterly 30:280310.10.1353/aiq.2006.0015CrossRefGoogle Scholar
Austin, Rita M., Sholts, Sabrina B., Williams, LaShanda, Kistler, Logan, and Hofman, Courtney A.. 2019. Opinion: To Curate the Molecular Past, Museums Need a Carefully Considered Set of Best Practices. PNAS 116(5):14711474.10.1073/pnas.1822038116CrossRefGoogle Scholar
Aveling, Elizabeth M., and Heron, Carl. 1999. Chewing Tar in the Early Holocene: An Archaeological and Ethnographic Evaluation. Antiquity 73(281):579584.10.1017/S0003598X00065133CrossRefGoogle Scholar
Birks, H. John B., and Birks, Hilary H.. 2016. How Have Studies of Ancient DNA from Sediments Contributed to the Reconstruction of Quaternary Floras? New Phytologist 209(2):499506.10.1111/nph.13657CrossRefGoogle Scholar
Blong, John C., Whelton, Helen L., van Asperen, Eline N., Bull, Ian D., and Shillito, Lisa-Marie. 2023. Sequential Biomolecular, Macrofossil, and Microfossil Extraction from Coprolites for Reconstructing Past Behavior and Environments. Frontiers in Ecology and Evolution 11. https://doi.org/10.3389/fevo.2023.1131294.Google Scholar
Boast, Alexander P., Weyrich, Laura S., Wood, Jamie R., Metcalf, Jessica L., Knight, Rob, and Cooper, Alan. 2018. Coprolites Reveal Ecological Interactions Lost with the Extinction of New Zealand Birds. PNAS 115(7):15461551.10.1073/pnas.1712337115CrossRefGoogle ScholarPubMed
Bohmann, Kristine, Elbrecht, Vasco, Carøe, Christian, Bista, Iliana, Leese, Florian, Bunce, Michael, Yu Douglas, W., Seymour, Mathew, Dumbrell, Alex, and Creer, Simon. 2022. Strategies for Sample Labelling and Library Preparation in DNA Metabarcoding Studies. Molecular Ecology Resources 22(4):12311246.10.1111/1755-0998.13512CrossRefGoogle ScholarPubMed
Borry, Maxime, Cordova, Bryan, Perri, Angela, Wibowo, Marsha, Honap, Tanvi Prasad, Ko, Jada, Yu, Jie, et al. 2020. CoproID Predicts the Source of Coprolites and Paleofeces Using Microbiome Composition and Host DNA Content. PeerJ 8:e9001. https://doi.org/10.7717/peerj.9001.CrossRefGoogle Scholar
Botella, Herminia Gijon, Afonso Vargas, Jose A., de la Rosa, Matilde Arnay, Leles, Daniela, Reimers, Emilio Gonzalez, Vicente, Ana Carolina P., and Iniguez, Alena M.. 2010. Paleoparasitologic, Paleogenetic and Paleobotanic Analysis of XVIII Century Coprolites from the Church La Concepcion in Santa Cruz de Tenerife, Canary Islands, Spain. Memorias do Instituto Oswaldo Cruz 105(8):10541056.10.1590/S0074-02762010000800017CrossRefGoogle Scholar
Brunson, Katherine. 2019. Data in the Bones: Why Zooarchaeologists and Archaeogeneticists Need Each Other. SAA Archaeological Record 19(2):3236.Google Scholar
Brunson, Katherine, and Reich, David. 2019. The Promise of Paleogenomics beyond Our Own Species. Trends in Genetics 35(5):319329.10.1016/j.tig.2019.02.006CrossRefGoogle ScholarPubMed
Bureau of Land Management. 2016. MS-1780 Tribal Relations. Department of the Interior, Washington, DC.Google Scholar
Callaway, Ewen. 2017. Stop Hoarding Ancient Bones, Plead Archaeologists. Nature News, August 11. https://www.nature.com/articles/nature.2017.22445, accessed December 22, 2021.Google Scholar
Carney, Molly, Diedrich, Melanie, Blong, John C., Guedes, Jade d'Alpoim, Fulkerson, Tiffany J., Kite, Tiffany, Leonard-Doll, Katy, LeCompte-Mastenbrook, Joyce, Tushingham, Shannon, and Zimmermann, Mario 2022 Northwest Native Plants: A Digital Space for Paleoethnobotanical Knowledges and Biocultural Heritage. Heritage 5(1):297310.10.3390/heritage5010016CrossRefGoogle Scholar
Claw, Katrina G., Anderson, Matthew Z., Begay, Rene L., Tsosie, Krystal S., Fox, Keolu, and Nanibaa'A., Garrison 2018. A Framework for Enhancing Ethical Genomic Research with Indigenous Communities. Nature Communications 9(1):2957. https://doi.org/10.1038/s41467-018-05188-3.CrossRefGoogle ScholarPubMed
Claw, Katrina G., Lippert, Dorothy, Bardill, Jessica, Cordova, Anna, Fox, Keolu, Yracheta, Joseph M., Bader, Alyssa C., et al. 2017. Chaco Canyon Dig Unearths Ethical Concerns. Human Biology 89(3):177180.10.13110/humanbiology.89.3.01CrossRefGoogle ScholarPubMed
Colwell-Chanthaphonh, Chip, Ferguson, T. J., Lippert, Dorothy, McGuire, Randall H., Nicholas, George P., Watkins, Joe E., and Zimmerman, Larry J.. 2010. The Premise and Promise of Indigenous Archaeology. American Antiquity 75(2):228238.10.7183/0002-7316.75.2.228CrossRefGoogle Scholar
Colwell, Chip. 2016. Collaborative Archaeologies and Descendant Communities. Annual Review of Anthropology 45:113127.10.1146/annurev-anthro-102215-095937CrossRefGoogle Scholar
Colwell, Chip. 2018. Rights of the Dead and the Living Clash When Scientists Extract DNA from Human Remains. The Conversation, April 6. https://theconversation.com/rights-of-the-dead-and-the-living-clash-when-scientists-extract-dna-from-human-remains-94284, accessed December 20, 2021.Google Scholar
Cortez, Amanda Daniela, Bolnick, Deborah A., Nicholas, George, Bardill, Jessica, and Colwell, Chip. 2021. An Ethical Crisis in Ancient DNA Research: Insights from the Chaco Canyon Controversy as a Case Study. Journal of Social Archaeology 21(2):157178.10.1177/1469605321991600CrossRefGoogle Scholar
Crellin, Rachel J., and Harris, Oliver J. T.. 2020. Beyond Binaries: Interrogating Ancient DNA. Archaeological Dialogues 27(1):3756.10.1017/S1380203820000082CrossRefGoogle Scholar
Crump, Sarah E. 2021. Sedimentary Ancient DNA as a Tool in Paleoecology. Nature Reviews Earth & Environment 2(4):229229.10.1038/s43017-021-00158-8CrossRefGoogle Scholar
Dagli, Namrata, Dagli, Rushabh, Baroudi, Kusai, and Tarakji, Bassel. 2015. Oral Paleomicrobiology: Study of Ancient Oral Microbiome. Journal of Contemporary Dental Practice 16(7):588594.Google ScholarPubMed
Dean, Glenna W. 2006. The Science of Coprolite Analysis: The View from Hinds Cave. Palaeogeography, Palaeoclimatology, Palaeoecology 237(1):6779.10.1016/j.palaeo.2005.11.029CrossRefGoogle Scholar
De La Fuente, Constanza, Flores, Sergio, and Moraga, Mauricio. 2013. DNA from Human Ancient Bacteria: A Novel Source of Genetic Evidence from Archaeological Dental Calculus. Archaeometry 55(4):767778.10.1111/j.1475-4754.2012.00707.xCrossRefGoogle Scholar
Epp, Laura S., Gussarova, Galina, Boessenkool, Sanne, Olsen, Jesper, Haile, James, Schroder-Nielsen, Audun, Ludikova, Anna, et al. 2015. Lake Sediment Multi-Taxon DNA from North Greenland Records Early Post-Glacial Appearance of Vascular Plants and Accurately Tracks Environmental Changes. Quaternary Science Reviews 117:152163.10.1016/j.quascirev.2015.03.027CrossRefGoogle Scholar
Epp, Laura S., Zimmermann, Heike H., and Stoof-Leichsenring, Kathleen R.. 2019. Sampling and Extraction of Ancient DNA from Sediments. In Ancient DNA, edited by Beth Shapiro, Axel Barlow, Peter D. Heintzman, Michael Hofreiter, Johanna L. A. Paijmans, and André E. R. Soares, pp. 3144. Methods in Molecular Biology Vol. 1963, John M. Walker, general editor. Springer, New York.10.1007/978-1-4939-9176-1_5CrossRefGoogle ScholarPubMed
Fleskes, Raquel E., Bader, Alyssa C., Tsosie, Krystal S., Wagner, Jennifer K., Claw, Katrina G., and Garrison, Nanibaa'A. 2022. Ethical Guidance in Human Paleogenomics: New and Ongoing Perspectives. Annual Review of Genomics and Human Genetics 23:627652.10.1146/annurev-genom-120621-090239CrossRefGoogle ScholarPubMed
Fox, Keolu. 2019. The Future of Paleogenomics: What's Left When the Bone Dust Settles. SAA Archaeological Record 19(2):3739.Google Scholar
Fox, Keolu, and Hawks, John. 2019. Use Ancient Remains More Wisely. Nature 572:581583.10.1038/d41586-019-02516-5CrossRefGoogle ScholarPubMed
Fox, Andrew, Heron, Carl, and Sutton, Mark Q.. 1995. Characterization of Natural Products on Native American Archaeological and Ethnographic Materials from the Great Basin Region, USA: A Preliminary Study. Archaeometry 37(2):363375.10.1111/j.1475-4754.1995.tb00749.xCrossRefGoogle Scholar
Fry, Gary F. 1985. Analysis of Fecal Matter. In The Analysis of Prehistoric Diets, edited by Gilbert, Robert I. Jr. and Mielke, James H., pp. 127154. Academic Press, New York.Google Scholar
Garrison, Nanibaa'A, Hudson, Māui, Ballantyne, Leah L., Garba, Ibrahim, Martinez, Andrew, Taualii, Maile, Arbour, Laura, Caron, Nadine R., and Rainie, Stephanie Carroll. 2019. Genomic Research through an Indigenous Lens: Understanding the Expectations. Annual Review of Genomics and Human Genetics 20:495517.10.1146/annurev-genom-083118-015434CrossRefGoogle ScholarPubMed
Gelabert, Pere, Sawyer, Susanna, Bergström, Anders, Margaryan, Ashot, Collin, Thomas C., Meshveliani, Tengiz, Belfer-Cohen, Anna, et al. 2021. Genome-Scale Sequencing and Analysis of Human, Wolf, and Bison DNA from 25,000-Year-Old Sediment. Current Biology 31(16):35643574.10.1016/j.cub.2021.06.023CrossRefGoogle ScholarPubMed
Giguet-Covex, Charline, Pansu, Johan, Arnaud, Fabien, Rey, Pierre-Jérôme, Griggo, Christophe, Gielly, Ludovic, Domaizon, Isabelle, et al. 2014. Long Livestock Farming History and Human Landscape Shaping Revealed by Lake Sediment DNA. Nature Communications 5:3211. https://doi.org/10.1038/ncomms4211.CrossRefGoogle ScholarPubMed
Gilbert, M. Thomas P., Jenkins, Dennis L., Götherstrom, Anders, Naveran, Nuria, Sanchez, Juan J., Hofreiter, Michael, Thomsen, Philip Francis, et al. 2008. DNA from Pre-Clovis Human Coprolites in Oregon, North America. Science 320(5877):786789.10.1126/science.1154116CrossRefGoogle ScholarPubMed
Gokcumen, Omer, and Frachetti, Michael. 2020. The Impact of Ancient Genome Studies in Archaeology. Annual Review of Anthropology 49: 277298.10.1146/annurev-anthro-010220-074353CrossRefGoogle Scholar
Graham, Russell W., Belmecheri, Soumaya, Choy, Kyungcheol, Culleton, Brendan J., Davies, Lauren J., Froese, Duane, Heintzman, Peter D., et al. 2016. Timing and Causes of Mid-Holocene Mammoth Extinction on St. Paul Island, Alaska. PNAS 113(33):93109314.10.1073/pnas.1604903113CrossRefGoogle Scholar
Gugerli, Felix, Alvarez, Nadir, and Tinner, Willy. 2013. A Deep Dig––Hindsight on Holocene Vegetation Composition from Ancient Environmental DNA. Molecular Ecology 22(13):34333436.10.1111/mec.12356CrossRefGoogle ScholarPubMed
Hagan, Richard W., Hofman, Courtney A., Hübner, Alexander, Reinhard, Karl, Schnorr, Stephanie, Lewis, Cecil M. Jr., Sankaranarayanan, Krithivasan, and Warinner, Christina G.. 2020. Comparison of Extraction Methods for Recovering Ancient Microbial DNA from Paleofeces. American Journal of Physical Anthropology 171(2):275284.10.1002/ajpa.23978CrossRefGoogle ScholarPubMed
Haile, James, Holdaway, Richard, Oliver, Karen, Bunce, Michael, Gilbert, M. Thomas P., Nielsen, Rasmus, Munch, Kasper, Ho, Simon Y. W., Shapiro, Beth, and Willerslev, Eske. 2007. Ancient DNA Chronology within Sediment Deposits: Are Paleobiological Reconstructions Possible and Is DNA Leaching a Factor? Molecular Biology and Evolution 24(4):982989.10.1093/molbev/msm016CrossRefGoogle ScholarPubMed
Hakenbeck, Susanne E. 2019. Genetics, Archaeology and the Far Right: An Unholy Trinity. World Archaeology 51(4):517527.10.1080/00438243.2019.1617189CrossRefGoogle Scholar
Handsley-Davis, Matilda, Kowal, Emma, Russell, Lynette, and Weyrich, Laura S.. 2021. Researchers Using Environmental DNA Must Engage Ethically with Indigenous Communities. Nature Ecology & Evolution 5:146148.10.1038/s41559-020-01351-6CrossRefGoogle ScholarPubMed
Hebsgaard, Martin B., Thomas P, M.. Gilbert, Jette Arneborg, Heyn, Patricia, Allentoft, Morten E., Bunce, Michael, Munch, Kasper, Schweger, Charles, and Willerslev, Eske. 2009. “The Farm Beneath the Sand”—An Archaeological Case Study on Ancient “Dirt” DNA. Antiquity 83(320):430444.10.1017/S0003598X00098537CrossRefGoogle Scholar
Jensen, Theis Z. T., Niemann, Jonas, Iversen, Katrine Højholt, Fotakis, Anna K., Gopalakrishnan, Shyam, Vågene, Åshild J., Pedersen, Mikkel Winther, et al. 2019. A 5700 Year-Old Human Genome and Oral Microbiome from Chewed Birch Pitch. Nature Communications 10:5521. https://doi.org/10.1038/s41467-019-13549-9.CrossRefGoogle ScholarPubMed
Jørgensen, Tina, Haile, James, Moller, Per, Andreev, Andrei, Boessenkool, Sanne, Rasmussen, Mortne, Kienast, Frank, et al. 2012. A Comparative Study of Ancient Sedimentary DNA, Pollen and Macrofossils from Permafrost Sediments of Northern Siberia Reveals Long-Term Vegetational Stability. Molecular Ecology 21:19892003.10.1111/j.1365-294X.2011.05287.xCrossRefGoogle ScholarPubMed
Jørgensen, Tina, Kjaer, Kurt H., Haile, James, Rasmussen, Morten, Boessenkool, Sanne, Andersen, Kenneth, Coissac, Eric, et al. 2012. Islands in the Ice: Detecting Past Vegetation on Greenlandic Nunataks Using Historical Records and Sedimentary Ancient DNA Meta-Barcoding. Molecular Ecology 21(8):19801988.10.1111/j.1365-294X.2011.05278.xCrossRefGoogle ScholarPubMed
Jouy-Avantin, Françoise, Debenath, André, Moigne, Anne-Marie, and Moné, Hélène. 2003. A Standardized Method for the Description and the Study of Coprolites. Journal of Archaeological Science 30(3):367372.10.1006/jasc.2002.0848CrossRefGoogle Scholar
Karpinski, Emil, Mead, Jim I., and Poinar, Hendrik N.. 2017. Molecular Identification of Paleofeces from Bechan Cave, Southeastern Utah, USA. Quaternary International 443:140146.10.1016/j.quaint.2017.03.068CrossRefGoogle Scholar
Kashuba, Natalija, Kırdök, Emrah, Damlien, Hege, Manninen, Mikael A., Nordqvist, Bengt, Persson, Per, and Götherström, Anders. 2019. Ancient DNA from Mastics Solidifies Connection between Material Culture and Genetics of Mesolithic Hunter–Gatherers in Scandinavia. Communications Biology 2:185. https://doi.org/10.1038/s42003-019-0399-1.CrossRefGoogle ScholarPubMed
Kennett, Douglas J., Plog, Stephen, George, Richard J., Culleton, Brendan J., Watson, Adam S., Skoglund, Pontus, Rohland, Nadin, et al. 2017. Archaeogenomic Evidence Reveals Prehistoric Matrilineal Dynasty. Nature Communications 8:14115.10.1038/ncomms14115CrossRefGoogle ScholarPubMed
Kiddey, Rachael. 2020. I'll Tell You What I Want, What I Really, Really Want! Open Archaeology That Is Collaborative, Participatory, Public, and Feminist. Norwegian Archaeological Review 53(1):2340.10.1080/00293652.2020.1749877CrossRefGoogle Scholar
Knapp, Michael, and Hofreiter, Michael. 2010. Next Generation Sequencing of Ancient DNA: Requirements, Strategies and Perspectives. Genes (Basel) 1(2):227243.10.3390/genes1020227CrossRefGoogle Scholar
Knights, Dan, Kuczynski, Justin, Charlson, Emily S., Zaneveld, Jesse, Mozer, Michael C., Collman, Ronald G., Bushman, Frederic D., Knight, Rob, and Kelley, Scott T.. 2011. Bayesian Community-Wide Culture-Independent Microbial Source Tracking. Nature Methods 8(9):761763.10.1038/nmeth.1650CrossRefGoogle ScholarPubMed
Kowal, Emma, Weyrich, Laura S., Argüelles, Juan Manuel, Bader, Alyssa C., Colwell, Chip, Cortez, Amanda Daniela, Davis, Jenny L., et al. 2023. Community Partnerships Are Fundamental to Ethical Ancient DNA Research. Human Genetics and Genomics Advances 4(2):100161. https://doi.org/10.1016/j.xhgg.2022.100161.CrossRefGoogle ScholarPubMed
Langejans, Geeske, Aleo, Alessandro, Fajardo, Sebastian, and Kozowyk, Paul. 2022. Archaeological Adhesives. In Oxford Research Encyclopedia of Anthropology, edited by Aldenderfer, Mark, pp. 139. University of Oxford Press, Oxford.Google Scholar
Lawton, Graham. 2021. Plaque in Time. New Scientist 251(3352):4043.10.1016/S0262-4079(21)01660-2CrossRefGoogle Scholar
LeBlanc, Steven A, Cobb Kreisman, Lori S., Kemp, Brian M, Smiley, Francis E., Carlyle, Shawn W., Dhody, Anna N., and Benjamin, Thomas. 2013. Quids and Aprons: Ancient DNA from Artifacts from the American Southwest. Journal of Field Archaeology 32(2):161175. http://dx.doi.org/10.1179/009346907791071610.CrossRefGoogle Scholar
Lewis-Kraus, Gideon. 2019. Is Ancient DNA Research Revealing New Truths—or Falling into Old Traps. New York Times, January 17. https://www.nytimes.com/2019/01/17/magazine/ancient-dna-paleogenomics.html, accessed September 15, 2021.Google Scholar
Linderholm, Anna. 2015. Ancient DNA: The Next Generation – Chapter and Verse. Biological Journal of the Linnean Society 117:150160.10.1111/bij.12616CrossRefGoogle Scholar
Lippert, Dorothy. 2006. Building a Bridge to Cross a Thousand Years. American Indian Quarterly 30(3/4):431440.10.1353/aiq.2006.0027CrossRefGoogle Scholar
Liu, Yichen, Andrew Bennett, E., and Fu, Qiaomei. 2022. Evolving Ancient DNA Techniques and the Future of Human History. Cell 185(15):26322635.10.1016/j.cell.2022.06.009CrossRefGoogle ScholarPubMed
Liu, Yichen, Mao, Xiaowei, Krause, Johannes, and Fu, Qiaomei. 2021. Insights into Human History from the First Decade of Ancient Human Genomics. Science 373(6562):14791484.10.1126/science.abi8202CrossRefGoogle ScholarPubMed
Lugli, Gabriele A., Milani, Christian, Mancabelli, Leonardo, Turroni, Francesca, Ferrario, Chiara, Duranti, Sabrina, van Sinderen, Douwe, and Ventura, Marco. 2017. Ancient Bacteria of the Otzi's Microbiome: A Genomic Tale from the Copper Age. Microbiome 5:5.10.1186/s40168-016-0221-yCrossRefGoogle ScholarPubMed
Mackey, Tim K., Calac, Alec J., Chenna Keshava, B. S., Yracheta, Joseph, Tsosie, Krystal S., and Fox, Keolu. 2022. Establishing a Blockchain-Enabled Indigenous Data Sovereignty Framework for Genomic Data. Cell 185(15):26262631.10.1016/j.cell.2022.06.030CrossRefGoogle ScholarPubMed
Makarewicz, Cheryl, Marom, Nimrod, and Bar-Oz, Guy. 2017. Ensure Equal Access to Ancient DNA. Nature 548(7666):158158.10.1038/548158aCrossRefGoogle ScholarPubMed
Malhi, Ripan S., and Bader, Alyssa. 2015. Engaging Native Americans in Genomics Research. American Anthropologist 117(4):743.10.1111/aman.12369CrossRefGoogle ScholarPubMed
Massilani, Diyendo, Morley, Mike W., Mentzer, Susan M., Aldeias, Vera, Vernot, Benjamin, Miller, Christopher, Stahlschmidt, Mareike, et al. 2022. Microstratigraphic Preservation of Ancient Faunal and Hominin DNA in Pleistocene Cave Sediments. PNAS 119(1):e2113666118.10.1073/pnas.2113666118CrossRefGoogle ScholarPubMed
Mathon, Laetitia, Valentini, Alice, Guérin, Pierre-Edouard, Normandeau, Eric, Noel, Cyril, Lionnet, Clément, Boulanger, Emilie, et al. 2021. Benchmarking Bioinformatic Tools for Fast and Accurate eDNA Metabarcoding Species Identification. Molecular Ecology Resources 21(7):25652579.10.1111/1755-0998.13430CrossRefGoogle ScholarPubMed
Matisoo-Smith, Elizabeth. 2019. Working with Indigenous Communities in Genomic Research. SAA Archaeological Record 19(2):1419.Google Scholar
Mazza, Paul Peter Anthony, Martini, Fabio, Sala, Benedetto, Magi, Maurizio, Colombini, Maria Perla, Giachi, Gianna, Landucci, Francesco, Lemorini, Cristina, Modugno, Francesca, and Ribechini, Erika. 2006. A New Palaeolithic Discovery: Tar-Hafted Stone Tools in a European Mid-Pleistocene Bone-Bearing Bed. Journal of Archaeological Science 33(9):13101318.10.1016/j.jas.2006.01.006CrossRefGoogle Scholar
McAnany, Patricia A., and Rowe, Sarah M.. 2015. Re-Visiting the Field: Collaborative Archaeology as a Paradigm Shift. Journal of Field Archaeology 40(5):499507.10.1179/2042458215Y.0000000007CrossRefGoogle Scholar
Monette, D. J., Greenwood, Kim, Gonzales-Rogers, Pat, Durham, Patrick, Johnson, January, and Aikin, Scott. 2018. Tribal Consultation Handbook. US Fish and Wildlife Service, Washington, DC.Google Scholar
Mulligan, Connie J. 2006. Anthropological Applications of Ancient DNA: Problems and Prospects. American Antiquity 71(2):365380.10.2307/40035909CrossRefGoogle Scholar
Nassaney, Michael S. 2021. Archaeology, Heritage, and Public Participation: Fulfilling the Promise of Authentic Collaboration. Advances in Archaeological Practice 9(2):119131.10.1017/aap.2020.40CrossRefGoogle Scholar
National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research. 1979. The Belmont Report: Ethical Principles and Guidelines for the Protection of Human Subjects of Research, Education Department of Health, and Welfare. National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research, Bethesda, Maryland. https://www.hhs.gov/ohrp/regulations-and-policy/belmont-report/read-the-belmont-report/index.html, accessed October 12, 2021Google Scholar
Nilsson Stutz, Liv. 2018. A Future for Archaeology: In Defense of an Intellectually Engaged, Collaborative and Confident Archaeology. Norwegian Archaeological Review 51(1–2):4856.10.1080/00293652.2018.1544168CrossRefGoogle Scholar
Orlando, Ludovic, Allaby, Robin, Skoglund, Pontus, Sarkissian, Clio Der, Stockhammer, Philipp W., Ávila-Arcos, María C., Fu, Qiaomei, et al. 2021. Ancient DNA Analysis. Nature Reviews Methods Primers 1:14. https://doi.org/10.1038/s43586-020-00011-0.CrossRefGoogle Scholar
Ottoni, Claudio, Borić, Dušan, Cheronet, Olivia, Sparacello, Vitale, Dori, Irene, Coppa, Alfredo, Antonović, Dragana, et al. 2021. Tracking the Transition to Agriculture in Southern Europe through Ancient DNA Analysis of Dental Calculus. PNAS 118(32):e2102116118. https://doi.org/10.1073/pnas.2102116118.CrossRefGoogle ScholarPubMed
Pálsdóttir, Albína Hulda, Bläuer, Auli, Rannamäe, Eve, Boessenkool, Sanne, and Hallsson, Jón Hallsteinn. 2019. Not a Limitless Resource: Ethics and Guidelines for Destructive Sampling of Archaeofaunal Remains. Royal Society Open Science 6(10):191059.10.1098/rsos.191059CrossRefGoogle Scholar
Parducci, Laura, Bennett, Keith D., Ficetola, Gentile Francesco, Alsos, Inger Greve, Suyama, Yoshihisa, Wood, Jamie R., and Pedersen, Mikkel Winther. 2017. Ancient Plant DNA in Lake Sediments. New Phytologist 214(3):924942.10.1111/nph.14470CrossRefGoogle ScholarPubMed
Pedersen, Mikkel W., Overballe-Petersen, Søren, Ermini, Luca, Sarkissian, Clio D., Haile, James, Hellstrom, Micaela, Spens, Johan, et al. 2015. Ancient and Modern Environmental DNA. Philosophical Transactions of the Royal Society B: Biological Sciences 370(1660):20130383. https://doi.org/10.1098/rstb.2013.0383.CrossRefGoogle ScholarPubMed
Poinar, Hendrik N., Hofreiter, Michael, Geoffrey Spaulding, W., Martin, Paul S., Artur Stankiewicz, B., Bland, Helen, Evershed, Richard P., Possnert, Goran, and Paabo, Svante. 1998. Molecular Coprocopy: Dung and Diet of the Extinct Ground Sloth Nothrotheriops shastensis. Science 281:402406.10.1126/science.281.5375.402CrossRefGoogle ScholarPubMed
Poinar, Hendrik N., Kuch, Melanie, McDonald, Gregory, Martin, Paul, and Paabo, Svante. 2003. Nuclear Gene Sequences from a Late Pleistocene Sloth Coprolite. Current Biology 13(13):11501152.10.1016/S0960-9822(03)00450-0CrossRefGoogle ScholarPubMed
Poinar, Hendrik N., Kuch, Melanie, Sobolik, Kristin D., Barnes, Ian, Stankiewicz, Artur B., Kuder, Tomasz, Geofferey Spaulding, W., Bryant, Vaughn M., Cooper, Alan, and Paabo, Svante. 2001. A Molecular Analysis of Dietary Diversity for Three Archaic Native Americans. PNAS 98(8):43174322.10.1073/pnas.061014798CrossRefGoogle ScholarPubMed
Powell, Kendall. 2021. How a Field Built on Data Sharing Became a Tower of Babel. Nature 590:198201. https://doi.org/10.1038/d41586-021-00331-5.CrossRefGoogle Scholar
Prendergast, Mary E., and Sawchuk, Elizabeth. 2018. Boots on the Ground in Africa's Ancient DNA “Rrevolution”: Archaeological Perspectives on Ethics and Best Practices. Antiquity 92(363):803815.10.15184/aqy.2018.70CrossRefGoogle Scholar
Preus, Hans R., Marvik, Ole J., Selvig, Knut A., and Bennike, Pia. 2011. Ancient Bacterial DNA (aDNA) in Dental Calculus from Archaeological Human Remains. Journal of Archaeological Science 38(8):18271831.10.1016/j.jas.2011.03.020CrossRefGoogle Scholar
Pruvost, Mélanie, Schwarz, Reinhard, Correia, Virginia Bessa, Champlot, Sophie, Braguier, Séverine, Morel, Nicolas, Fernandez-Jalvo, Yolanda, Grange, Thierry, and Geigl, Eva-Maria. 2007. Freshly Excavated Fossil Bones Are Best for Amplification of Ancient DNA. PNAS 104(3):739744.10.1073/pnas.0610257104CrossRefGoogle ScholarPubMed
Rageot, Maxime, Lepère, Cédric, Henry, Auréade, Binder, Didier, Davtian, Gourguen, Filippi, Jean-Jacques, Fernandez, Xavier, et al. 2021. Management Systems of Adhesive Materials throughout the Neolithic in the North-West Mediterranean. Journal of Archaeological Science 126. https://doi.org/10.1016/j.jas.2020.105309.CrossRefGoogle Scholar
Reinhard, Karl J., and Bryant, Vaughn M.. 1992. Coprolite Analysis: A Biological Perspective on Archaeology. Journal of Archaeological Method and Theory 4:245288.Google Scholar
Richter, Kristine Korzow, Codlin, Maria C., Seabrook, Melina, and Warinner, Christina. 2022. A Primer for ZooMS Applications in Archaeology. PNAS 119(20). https://doi.org/10.1073/pnas.210932311.CrossRefGoogle ScholarPubMed
Rose, Claire, Parker, Alison, Jefferson, Bruce, and Cartmell, Elise. 2015. The Characterization of Feces and Urine: A Review of the Literature to Inform Advanced Treatment Technology. Critical Reviews in Environmental Science and Technology 45(17):18271879.10.1080/10643389.2014.1000761CrossRefGoogle ScholarPubMed
Sanger, Frederick, and Coulson, Alan R.. 1975. A Rapid Method for Determining Sequences in DNA by Primed Synthesis with DNA Polymerase. Journal of Molecular Biology 94(3):441446.10.1016/0022-2836(75)90213-2CrossRefGoogle ScholarPubMed
Santiago-Rodriguez, Tasha M., Fornaciari, Gino, Luciani, Stefania, Toranzos, Gary A., Marota, Isolina, Giuffra, Valentina, and Cano, Raul J.. 2017. Gut Microbiome and Putative Resistome of Inca and Italian Nobility Mummies. Genes (Basel) 8(11). https://doi.org/10.3390/genes8110310.CrossRefGoogle ScholarPubMed
Sarhan, Mohamed S., Lehmkuhl, Achim, Straub, Rainer, Tett, Adrian, Wieland, Günther, Francken, Michael, Zink, Albert, and Maixner, Frank. 2021. Ancient DNA Diffuses from Human Bones to Cave Stones. Iscience 24(12). https://doi.org/10.1016/j.isci.2021.103397.CrossRefGoogle ScholarPubMed
Sedig, Jakob W. 2019. Ancient DNA's Impact on Archaeology: What Has Been Learned and How to Build Strong Relationships. SAA Archaeological Record 19:2632.Google Scholar
Seersholm, Frederik V., Pedersen, Mikkel W., Soe, Martin J., Shokry, Hussein, Mak, Sarah S. T., Ruter, Anthony, Raghavan, Maanasa, et al. 2016. DNA Evidence of Bowhead Whale Exploitation by Greenlandic Paleo-Inuit 4,000 Years Ago. Nature Communications 7:13389. https://doi.org/10.1038/ncomms13389.CrossRefGoogle Scholar
Seersholm, Frederik V., Werndly, Daniel J., Grealy, Alicia, Johnson, Taryn, Early, Erin M. Keenan, Lundelius, Ernest L. Jr., Winsborough, Barbara, et al. 2020. Rapid Range Shifts and Megafaunal Extinctions Associated with Late Pleistocene Climate Change. Nature Communications 11(1):2770.10.1038/s41467-020-16502-3CrossRefGoogle ScholarPubMed
Shillito, Lisa-Marie, Blong, John C., Green, Eleanor J., and Van Asperen, Eline. 2020. The What, How and Why of Archaeological Coprolite Analysis. Earth-Science Reviews 207:103196. https://doi.org/10.1016/j.earscirev.2020.103196.CrossRefGoogle Scholar
Sirak, Kendra A., and Sedig, Jakob W.. 2019. Balancing Analytical Goals and Anthropological Stewardship in the Midst of the Paleogenomics Revolution. World Archaeology 51(4):560573.10.1080/00438243.2019.1617190CrossRefGoogle Scholar
Slon, Viviane, Hopfe, Charlotte, Weiß, Clemens L., Mafessoni, Fabrizio, De La Rasilla, Marco, Lalueza-Fox, Carles, Rosas, Antonio, et al. 2017. Neandertal and Denisovan DNA from Pleistocene Sediments. Science 356(6338):605608.10.1126/science.aam9695CrossRefGoogle ScholarPubMed
Somel, Mehmet, Altınışık, N. Ezgi, Özer, Füsun, and Ávila-Arcos, María. 2021. Collaborate Equitably in Ancient DNA Research and Beyond. Nature 600:37.10.1038/d41586-021-03541-zCrossRefGoogle ScholarPubMed
Squires, Kirsty, Booth, Thomas, and Roberts, Charlotte A.. 2019. The Ethics of Sampling Human Skeletal Remains for Destructive Analyses. In Ethical Approaches to Human Remains, edited by Kirsty Squires, David Errickson, and Nicholas Márquex-Grant, pp. 265297. Springer, New York.10.1007/978-3-030-32926-6_12CrossRefGoogle Scholar
Staats, Martijn, Arulandhu, Alfred J., Gravendeel, Barbara, Holst-Jensen, Arne, Scholtens, Ingrid, Peelen, Tamara, Prins, Theo W., and Kok, Esther. 2016. Advances in DNA metabarcoding for Food and Wildlife Forensic Species Identification. Analytical and Bioanalytical Chemistry 408(17):46154630.10.1007/s00216-016-9595-8CrossRefGoogle ScholarPubMed
Stacey, Rebecca J., Dunne, Julie, Brunning, Sue, Devièse, Thibaut, Mortimer, Richard, Ladd, Stuart, Parfitt, Keith, Evershed, Richard, and Bull, Ian. 2020. Birch Bark Tar in Early Medieval England–Continuity of Tradition or Technological Revival? Journal of Archaeological Science: Reports 29. https://doi.org/10.1016/j.jasrep.2019.102118.Google ScholarPubMed
Sykes, Rebecca Wragg. 2015. To See a World in a Hafted Tool: Birch Pitch Composite Technology, Cognition and Memory in Neanderthals. Settlement, Society and Cognition in Human Evolution: Landscapes in the Mind, edited by Coward, Fiona, Hosfield, Robert, Pope, Matt, Wenban-Smith, Francis, pp. 117137. Cambridge University Press, Cambridge.10.1017/CBO9781139208697.008CrossRefGoogle Scholar
Tackney, Justin C., and Raff, Jennifer A.. 2019. A Different Way: Perspectives on Human Genetic Research from the Arctic. SAA Archaeological Record 19(2):2025.Google Scholar
Tito, Raul Y., Knights, Dan, Metcalf, Jessica, Obregon-Tito, Alexandra J., Cleeland, Lauren, Najar, Fares, Roe, Bruce, et al. 2012. Insights from Characterizing Extinct Human Gut Microbiomes. PLoS ONE 7(12):e51146. https://doi.org/10.1371/journal.pone.0051146.CrossRefGoogle ScholarPubMed
Tsosie, Krystal S., Begay, Rene L., Fox, Keolu, and Nanibaa'A., Garrison 2020. Generations of Genomes: Advances in Paleogenomics Technology and Engagement for Indigenous People of the Americas. Current Opinion in Genetics & Development 62:9196.10.1016/j.gde.2020.06.010CrossRefGoogle ScholarPubMed
United Nations Evaluation Group. 2017. Principles for Stakeholder Engagement. United Nations Evaluation Group, New York, 2021. https://www.unevaluation.org/document/download/2790, accessed October 13, 2021.Google Scholar
Van Dyke, Ruth M. 2020. Indigenous Archaeology in a Settler-Colonist State: A View from the North American Southwest. Norwegian Archaeological Review 53(1):4158.10.1080/00293652.2020.1778779CrossRefGoogle Scholar
Vernot, Benjamin, Zavala, Elena I., Gómez-Olivencia, Asier, Jacobs, Zenobia, Slon, Viviane, Mafessoni, Fabrizio, Romagné, Frédéric, et al. 2021. Unearthing Neanderthal Population History Using Nuclear and Mitochondrial DNA from Cave Sediments. Science 372:eabf1667. https://doi.org/10.1126/science.abf1667.CrossRefGoogle ScholarPubMed
Wagner, Jennifer K., Colwell, Chip, Claw, Katrina G., Stone, Anne C., Bolnick, Deborah A., Hawks, John, Brothers, Kyle B., and Nanibaa'A., Garrison 2020. Fostering Responsible Research on Ancient DNA. American Journal of Human Genetics 107(2):183195.10.1016/j.ajhg.2020.06.017CrossRefGoogle ScholarPubMed
Weyrich, Laura S., Dobney, Keith, and Cooper, Alan. 2015. Ancient DNA Analysis of Dental Calculus. Journal of Human Evolution 79:119124.10.1016/j.jhevol.2014.06.018CrossRefGoogle ScholarPubMed
Wibowo, Marsha C., Yang, Zhen, Borry, Maxime, Hübner, Alexander, Huang, Kun D., Tierney, Braden T., Zimmerman, Samuel, et al. 2021. Reconstruction of Ancient Microbial Genomes from the Human Gut. Nature 594:234239.10.1038/s41586-021-03532-0CrossRefGoogle ScholarPubMed
Wilcox, Michael. 2010. Saving Indigenous People from Ourselves: Separate but Equal Archaeology Is Not Scientific Archaeology. American Antiquity 75(2):221227.10.7183/0002-7316.75.2.221CrossRefGoogle Scholar
Willerslev, Eske, Hansen, Anders J., Binladen, Jonas, Brand, Tina B., Gilbert, M. Thomas P., Shapiro, Beth, Bunce, Michael, Wiuf, Carsten, Gilichinsky, David A., and Cooper, Alan. 2003. Diverse Plant and Animal Genetic Records from Holocene and Pleistocene Sediments. Science 300(5620):791795.10.1126/science.1084114CrossRefGoogle ScholarPubMed
Wood, Jamie, Rawlence, Nicolas, Rogers, Geoffrey, Austin, Jeremy, Worthy, Trevor, and Cooper, Alan. 2008. Coprolite Deposits Reveal the Diet and Ecology of the Extinct New Zealand Megaherbivore Moa (Aves, Dinornithiformes). Quaternary Science Reviews 27(27–28):25932602.10.1016/j.quascirev.2008.09.019CrossRefGoogle Scholar
Wood, Jamie R., and Wilmshurst, Janet M.. 2016. A Protocol for Subsampling Late Quaternary Coprolites for Multi-Proxy Analysis. Quaternary Science Reviews 138:15.10.1016/j.quascirev.2016.02.018CrossRefGoogle Scholar
Wood, Jamie R., Wilmshurst, Janet M., Richardson, Sarah J., Rawlence, Nicolas J., Wagstaff, Steven J., Worthy, Trevor H., and Cooper, Alan. 2013. Resolving Lost Herbivore Community Structure Using Coprolites of Four Sympatric Moa Species. PNAS 110(42):1691016915.10.1073/pnas.1307700110CrossRefGoogle ScholarPubMed
Wood, Jamie R., Wilmshurst, Janet M., Wagstaff, Steven J., Worthy, Trevor H., Rawlence, Nicolas J., and Cooper, Alan. 2012. High-Resolution Coproecology: Using Coprolites to Reconstruct the Habits and Habitats of New Zealand's Extinct Upland Moa (Megalapteryx didinus). PLoS ONE 7(6):e0040025. https://doi.org/10.1371/journal.pone.0040025.CrossRefGoogle ScholarPubMed
Wood, Jamie R., Wilmshurst, Janet M., Worthy, Trevor H., and Cooper, Alan. 2012. First Coprolite Evidence for the Diet of Anomalopteryx didiformis, an Extinct Forest Ratite from New Zealand. New Zealand Journal of Ecology 36(2):160170.Google Scholar
Figure 0

FIGURE 1. Composites discussed in this article: (a) sediment, (b) coprolite, (c) pine pitch, and (d) dental calculus under a microscope. As shown, coprolite and pine pitch are morphologically unique, whereas sediment is not; different amounts of documentation are needed. All composites may also contain a mixture of visible and molecular remains. (Sediment, coprolite, and pitch photos provided by Taryn Johnson. Dental calculus photo provided by Angela Perri.)

Figure 1

FIGURE 2. Representation of the destructive nature of composite research: (a) whole paleofecal sample before subsampling; (b) exterior was removed and the sample cut in half. Subsamples for aDNA analysis were collected from the center and homogenized; (c) half the remaining material was disaggregated for macroremains and microremains analysis. (Photos provided by Taryn Johnson.)

Figure 2

FIGURE 3. Example research flow for planning composite genetic research. First, a research question is established, and whether DNA analysis is needed to answer it is considered. Researchers collaboratively engage with stakeholders, integrate stakeholder goals into the research plan, and discuss data dissemination. The sequencing method can be chosen based on the type of data needed and whether stakeholder consent was given.