Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-25T17:46:28.931Z Has data issue: false hasContentIssue false

Adaptation to different temperatures results in wing size divergence of the invading species Drosophila nasuta (Diptera: Drosophilidae) in Brazil

Published online by Cambridge University Press:  04 November 2024

Vinícius Alcântara Carvalho Lima Santos
Affiliation:
Universidade Federal Rural de Pernambuco, Campus Dois Irmãos, Departamento de Biologia, Recife, Pernambuco, Brazil
Ana Cristina Lauer Garcia*
Affiliation:
Universidade Federal de Pernambuco, Centro Acadêmico de Vitória, Vitória de Santo Antão, Pernambuco, Brazil
Martín Alejandro Montes*
Affiliation:
Universidade Federal Rural de Pernambuco, Campus Dois Irmãos, Departamento de Biologia, Recife, Pernambuco, Brazil
*
Corresponding author: Ana Cristina Lauer Garcia; Email: anacristina.garcia@ufpe.br; Martín Alejandro Montes; Email: martin.montes@ufrpe.br
Corresponding author: Ana Cristina Lauer Garcia; Email: anacristina.garcia@ufpe.br; Martín Alejandro Montes; Email: martin.montes@ufrpe.br
Rights & Permissions [Opens in a new window]

Abstract

Invasive species threaten biodiversity on a global scale. The success of invasions depends on the species' adaptation to the different environmental conditions of new territories. Studies show that invasive insects present evolutionary changes in wing morphology in areas they are introduced to in response to abiotic conditions. In the last decade, the Asian Drosophila nasuta fly invaded and spread widely throughout Brazil. This insect has preferences for conserved environments and is related to the likely reduction in the abundance of native drosophilids in the Atlantic Forest. Ecological niche modelling analyses showed that rainfall and temperature are the main factors which delimit the geographic distribution of this species. Herein, we verified the existence of significant differences in the wing sizes of D. nasuta in Brazil and evaluated the influence of abiotic factors (rainfall and temperature) on the observed patterns. We conducted 11 measurements on the right-side wings of 240 D. nasuta males collected in the Amazon Forest, Caatinga, Cerrado and Atlantic Forest. Statistical analyses revealed the existence of two groups: one with larger wings, which brought together samples from locations with the lowest temperatures; and one with smaller wings, which corresponded to places with a hotter climate. One explanation for this result is the fact that large wings favour greater heat capture by flies in colder climates, increasing their survival chances in these environments. These rapid evolutionary changes in D. nasuta in this first decade of invasion in Brazil reveal the enormous adaptive potential of this species in this megadiverse country.

Type
Research Paper
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

Introduction

Biological invasions cause global changes due to their impacts on ecosystems and biodiversity (Pyšek et al., Reference Pyšek, Hulme, Simberloff, Bacher, Blackburn, Carlton, Dawson, Essl, Foxcroft, Genovesi, Jeschke, Kühn, Liebhold, Mandrak, Meyerson, Pauchard, Pergl, Roy, Seebens, van Kleunen, Vilà, Wingfield and Richardson2020), being one of the main threats to species extinctions (Mollot et al., Reference Mollot, Pantel and Romanuk2017; Spatz et al., Reference Spatz, Jones, Bonnaud, Kappes, Holmes, Guzmán, Young and VanderWerf2023; Su et al., Reference Su, Cui, Man, Li, Huang, Chen and Zhao2023). International trade, transport and tourism have contributed to an exponential increase in invasive species worldwide in recent decades (Seebens et al., Reference Seebens, Blackburn, Dyer, Genovesi, Hulme, Jeschke, Pagad, Pyšek, van Kleunen, Winter, Ansong, Arianoutsou, Bacher, Blasius, Brockerhoff, Brundu, Capinha, Causton, Celesti-Grapow, Dawson, Dullinger, Economo, Fuentes, Guénard, Jäger, Kartesz, Kenis, Kühn, Lenzner, Liebhold, Mosena, Moser, Nentwig, Nishino, Pearman, Pergl, Rabitsch, Rojas-Sandoval, Roques, Rorke, Rossinelli, Roy, Scalera, Schindler, Štajerová, Tokarska-Guzik, Walker, Ward, Yamanaka and Essl2018; Sun et al., Reference Sun, Koski, Wickham, Baranchikov and Bushley2024). Invasive species must present adaptive responses to different selective pressures faced in the environments where they are introduced in order to ensure their survival and colonisation of new habitats (Schäfer et al., Reference Schäfer, Berger, Rohner, Kjaersgaard, Bauerfeind, Guillaume, Fox and Blanckenhorn2018). Studies on rapid evolutionary changes in invasive species are of great interest because they can identify phenotypic characteristics which favour dispersal and successful colonisation of new habitats (Rejmánek and Richardson, Reference Rejmánek and Richardson1996).

Evolutionary studies with invasive insect species have widely used wing morphology (Huey et al., Reference Huey, Gilchrist, Carlson, Berrigan and Serra2000; Gilchrist et al., Reference Gilchrist, Huey, Balanyà, Pascual, Serra and Noor2004; Loh et al., Reference Loh, David, Debat and Bitner-Mathé2008; Laparie et al., Reference Laparie, Vernon, Cozic, Frenot, Renault and Debat2016). This is an attractive structure for this kind of investigation, since wings are of wide importance in a variety of aspects of an insect's life, such as reproduction, territorial display, foraging, defence mechanisms, thermal regulation and aerodynamics (Bettsand and Wootton, Reference Betts and Wootton1988; Wootton, Reference Wootton1992; Berwaerts et al., Reference Berwaerts, Aerts and van Dyck2006; Pass, Reference Pass2018). Changes in environmental conditions are capable of promoting quantitative variations in physiology and morphology of insect wings. Reducing the frequency of wingbeats at high temperatures is an adaptive strategy in bees which favours thermoregulation (Glass et al., Reference Glass, Burnett, Combes, Weisman, Helbling and Harrison2024). Several studies on the Drosophilidae family have demonstrated that abiotic parameters (such as temperature) influence the wing size of invasive species, with flies developing larger wings as an adaptive response to occupying environments with lower temperatures (Karan et al., Reference Karan, Moreteau and David1999; Huey et al., Reference Huey, Gilchrist, Carlson, Berrigan and Serra2000; Gilchrist et al., Reference Gilchrist, Huey, Balanyà, Pascual, Serra and Noor2004; Gilchrist and Huey, Reference Gilchrist and Huey2004; Loh et al., Reference Loh, David, Debat and Bitner-Mathé2008).

The Asian Drosophila nasuta (Diptera: Drosophilidae) fly is an invasive species in Brazil with a notable ability to expand its geographic distribution in this area of introduction (Martins et al., Reference Martins, Santos, Santos, Araújo, Neves, Garcia and Montes2023). The first record of this species in Brazil occurred in the Cerrado (savanna), approximately 10 years ago (Leão et al., Reference Leão, Roque, Deus and Tidon2017). Since then, D. nasuta has spread throughout different Brazilian biomes, such as the Atlantic Forest (Vilela and Goñi, Reference Vilela and Goñi2015; Silva et al., Reference Silva, Schmitz, Medeiros, Rohde, Montes and Garcia2020), the Caatinga (xeric shrubland) (Montes et al., Reference Montes, Neves, Ferreira, Santos, Quintas, Manetta, Oliveira and Garcia2021), the Amazon Forest (Medeiros et al., Reference Medeiros, Monteiro, Caçador, Pereira, Praxedes, Martins, Montes and Garcia2022) and the Pantanal wetlands (Martins et al., Reference Martins, Santos, Santos, Araújo, Neves, Garcia and Montes2023). The species currently occupies more than half of Brazil's area (Martins et al., Reference Martins, Santos, Santos, Araújo, Neves, Garcia and Montes2023). Genetic studies in Brazil indicate population structuring of D. nasuta (Santos et al., Reference Santos, Neves, Oliveira, Ribeiro, Faria-Júnior, Montes and Garcia2021), reflecting its evolutionary potential in this territory. Some possible effects of ecosystem imbalances caused by D. nasuta in Brazil have been observed in the north of the Atlantic Forest, where a reduction in the abundance of native drosophilids was reported after this species arrived (Oliveira, Reference Oliveira2021). Furthermore, D. nasuta shows a preference for preserved environments compared to anthropised areas (Silva et al., Reference Silva, Schmitz, Medeiros, Rohde, Montes and Garcia2020), which represents a threat to the biodiversity of invaded territories.

Ecological niche modelling data projected the geographic expansion of D. nasuta in different invasion areas, especially in conservation units in Central and South America. These data also indicated that rainfall and temperature parameters are mainly responsible for limiting the global distribution of this species (Garcia et al., Reference Garcia, Silva, Neves and Montes2022).

In this work, significant differences in the wing size of Brazilian D. nasuta populations obtained in Amazon Forest, Caatinga, Cerrado and Atlantic Forest areas were evaluated. The influence of abiotic factors known to be important for the geographic distribution of D. nasuta, such as rainfall and temperature, were tested to understand the geographical pattern of the observed morphological variation.

Materials and methods

Drosophila nasuta sampling locations and capture method

Drosophilids were collected in Brazil in areas within the Amazon Forest, Caatinga, Cerrado and Atlantic Forest biomes (fig. 1). Sampling was always performed during periods of greater rainfall in the areas investigated between 2019 and 2021 in order to remove the morphological variation associated with seasonality (Przybylska et al., Reference Przybylska, de Brito and Tidon2016) (table 1).

Figure 1. On the left, map of Brazil with an indication of its biomes. On the right, partial enlargement of the map, indicating the sampling locations of Drosophila nasuta.

Table 1. Drosophila nasuta biomes and sampling locations in Brazil with data on geographic coordinates, sampling dates and climate characterisation (temperature and rainfall)

The codes for the locations are the same as those used in fig. 1.

a Climatempo (2024a) Climatologia histórica de Altamira, Pará. https://www.climatempo.com.br/climatologia/228/altamira-br (Accessed 20 January 2024).

b Climatempo (2024b) Climatologia histórica de Manaus, Amazonas. https://www.climatempo.com.br/climatologia/25/manaus-am (Accessed 20 January 2024).

c Climatempo (2024c) Climatologia histórica de Caruaru, Pernambuco. https://www.climatempo.com.br/climatologia/764/caruaru-pe (Accessed 20 January 2024).

d Climatempo (2024d) Climatologia histórica de Belo Jardim, Pernambuco. https://www.climatempo.com.br/climatologia/2179/belojardim-pe (Accessed 20 January 2024).

e Climatempo (2024e) Climatologia histórica de Brasília, Distrito Federal. https://www.climatempo.com.br/climatologia/61/brasilia-df (Accessed 20 January 2024).

f Climatempo (2024f) Climatologia histórica de Igarassu, Pernambuco. https://www.climatempo.com.br/climatologia/1256/igarassu-pe (Accessed 20 January 2024).

g Climatempo (2024g) Climatologia histórica de Itatiaia, Rio de Janeiro. https://www.climatempo.com.br/climatologia/303/itatiaia-rj (Accessed 20 January 2024).

The biomes studied are areas where D. nasuta has been recorded in greater abundance in South America (Leão et al., Reference Leão, Roque, Deus and Tidon2017; Silva et al., Reference Silva, Schmitz, Medeiros, Rohde, Montes and Garcia2020; Montes et al., Reference Montes, Neves, Ferreira, Santos, Quintas, Manetta, Oliveira and Garcia2021; Martins et al., Reference Martins, Santos, Santos, Araújo, Neves, Garcia and Montes2023), representing a wide territory of its distribution on this continent (Martins et al., Reference Martins, Santos, Santos, Araújo, Neves, Garcia and Montes2023). The Amazon is the largest tropical rainforest in the world, covering nine countries in South America, with 59% of its area in Brazil (IBGE, 2019). It is one of the biomes with the greatest biodiversity on the planet (Guayasamin et al., Reference Guayasamin, Ribas, Carnaval, Carrillo, Hoorn, Lohmann, Riff, Ulloa and Albert2024). The Caatinga is the largest and most diverse seasonally dry tropical forest in the world, occurring exclusively in Brazil, where it occupies around 10% of its territory (Silva et al., Reference Silva, Leal and Tabarelli2017; IBGE, 2019). The Cerrado is the most biodiverse savanna on the planet, extending across three countries (Brazil, Paraguay and Bolivia), but mainly found in Brazil where it occupies 24% of its territory (Walter et al., Reference Walter, Carvalho, Ribeiro, Sano, de Almeida and Ribeiro2008; IBGE, 2019). This biome is recognised as one of the hotspots for conservation (Mittermeier et al., Reference Mittermeier, Turner, Larsen, Brooks, Gascon, Zachos and Habel2011). The Atlantic Forest occupies approximately 13% of the Brazilian territory. It is mainly distributed along its coast, also extending to part of Argentina and Paraguay (IBGE, 2019). It is one of the richest humid tropical forests in the world, featuring many endemic and endangered species, and is one of the world's hotspots (Tabarelli et al., Reference Tabarelli, Pinto, Silva, Hirota and Bede2005).

Drosophilids were sampled in each of the eight investigated locations (table 1), using ten traps made from plastic bottles containing banana bait (Tidon and Sene, Reference Tidon and Sene1988). The traps were suspended 1.5 m from the ground and distributed randomly (at a minimum distance of 30 m between them) and 50 m away from the edges of the forest fragments where they remained exposed for three consecutive days. The captured drosophilids were stored in 70% ethanol and the D. nasuta specimens were identified according to Vilela and Goñi (Reference Vilela and Goñi2015) by their light body colour, the presence of a longitudinal brown stripe in the middle dorsal area of the pleura, a silvery and whitish fringe in the head region when viewed from the front, a row of cuneiform setae on the anteroventral side of the femur on the forelegs, wings with a costal index of about 3.1, and male terminalia characteristics.

Morphometric and statistical analyses

The D. nasuta individuals collected were separated by sex and geographic origin. Separation by sex was performed by analysing the flies' terminalia, with males being distinguished from females by the presence of an aedeagus and hypandrium and the absence of an ovipositor. Flies were discarded if they had torn or wrinkled wings. A total of 30 male individuals from each population were dissected with a 70% ethanol solution. The right-side wing of each individual was removed by squeezing the wing joint with tweezers and pulling the wing away from the body, using a pair of tweezers to hold the body in place. Only the right-side wings were used to avoid fluctuating asymmetry variations.

The dissected wings were placed on microscope slides with the ventral side facing down and covered with a 1:1 solution of absolute ethanol and glycerol. Slides were covered with coverslips and any air bubbles were gently removed by pressing the coverslip with forceps. The wings were digitally photographed on an Instrutherm MBB-200 microscope at 40 ×  magnification.

Next, 11 measurements were taken from the digitised images on each wing from reference points at the junction or termination of the venations, following the parameters of Bitner-Mathé and Klaczko (Reference Bitner-Mathé and Klaczko1999) (fig. 2). Measurements were performed using the tpsDIG program (Rohlf, Reference Rohlf2016). The wings of all specimens were mounted, photographed and measured by the same person in order to minimise possible errors in morphometric analyses, in accordance with the recommendations of Fox et al. (Reference Fox, Veneracion and Blois2020).

Figure 2. Right wing of a male Drosophila nasuta with indications of the measurements that were taken from six reference points: OA, OB, OE, AB, AE, BC, BD, BE, CD, CE and DE.

Arithmetic means and standard deviations were obtained for each of the 11 wing measurements for samples from different geographic locations. Analysis of variance (ANOVA) was performed with the Tukey a posteriori test to observe possible differences in wing measurements between locations. The wing measurements of individuals from locations which did not show statistical differences in previous tests were grouped. The established groups were analysed using a linear discriminant function. Pearson's correlation test was performed between wing measurements and abiotic factors (rainfall and maximum and minimum temperatures). All of these analyses were carried out using the PAST version 4.3 program (Hammer et al., Reference Hammer, Harper and Ryan2001) and a significance level of P < 0.05 or P < 0.001 was used in the statistical tests.

Results

The lowest averages for the 11 wing measurements evaluated in 240 D. nasuta individuals were observed for the populations of the Amazon Forest (Altamira and Manaus) and the north of the Atlantic Forest (Igarassu). The Caatinga (Caruaru and Belo Jardim), the Cerrado (sensu strictu and Gallery Forest) and the south of the Atlantic Forest (Itatiaia) populations presented the highest averages for these measurements (table 2).

Table 2. Arithmetic means (in mm) and standard deviations for the different reference point measurements of the right wings of Drosophila nasuta males from different biomes and locations in Brazil

The reference points for wing measurements are illustrated in fig. 2.

The two groups observed by analysing the mean D. nasuta wing measurements were also verified by ANOVA and the subsequent Tukey's test (table 3, Supplementary table 1). One of the groups was formed by populations from the Amazon Forest (Altamira and Manaus) and the north of the Atlantic Forest (Igarassu), with no significant difference between these samples. Another group brought together populations from the Caatinga (Caruaru and Belo Jardim), the Cerrado (sensu strictu and Gallery Forest) and the south of Atlantic Forest (Itatiaia), also without significant differences between the wing measurements of these populations. Comparisons of wing measurements between the populations of these two groups showed significant differences (P < 0.001) (table 3).

Table 3. Tukey's test (P < 0.001) for measurements of the right wings of Drosophila nasuta males collected in different locations in Brazilian biomes

The codes for the locations are the same as those used in table 1, and the reference points for wing measurements are illustrated in fig. 2.

Ns, not significant. *Statistically significant.

The groupings formed in the previous analyses were evaluated using a linear discriminant function, which confirmed the existence of these two distinct groups. In this analysis, 91.67% of individuals were correctly identified in their corresponding groups by the cross-validation test (table 4).

Table 4. Classification by discriminant function analysis followed by cross-validation for the two groups obtained by analysis of means and ANOVA/Tukey's test, based on measurements of the right wings of Drosophila nasuta males collected in different Brazilian locations and biomes

Group 1 = populations from the Amazon Forest (Altamira and Manaus) and the north of the Atlantic Forest (Igarassu); and Group 2 = populations from the Caatinga (Caruaru and Belo Jardim), the Cerrado (sensu strictu and Gallery Forest) and the south of the Atlantic Forest (Itatiaia).

The group of individuals with the smallest wings coincided with the locations with the highest maximum and minimum temperatures detected. The group with the largest wings corresponded to the areas with the lowest maximum and minimum temperatures (table 1). A high negative and significant correlation was observed between maximum temperatures and four of the 11 wing measurements investigated, as well as for all wing measurements and minimum temperatures. No significant correlation regarding rainfall was observed with any of the wing measurements analysed (table 5).

Table 5. Pearson's correlation between measurements of the right wings of Drosophila nasuta males collected in different biomes in Brazil and abiotic factors (rainfall, maximum and minimum temperatures)

Temperature and rainfall data are shown in table 1 and wing measurements are shown in fig. 2. P-values are shown in parentheses. *P < 0.05.

Discussion

The Asian D. nasuta fly invaded Brazil approximately 10 years ago (Leão et al., Reference Leão, Roque, Deus and Tidon2017). The species has already expanded over an area of 4.6 million km2 in this short period, which corresponds to 55% of the Brazilian territory (Martins et al., Reference Martins, Santos, Santos, Araújo, Neves, Garcia and Montes2023). Data from 11 wing measurements taken on 240 individuals of this species from different Brazilian biomes in the present study revealed statistically significant differences between the geographic samples.

The variations in wing sizes observed herein resulted in forming two groups of D. nasuta. Other invasive drosophilids in the Neotropical region also showed significant differences in wing morphology in different areas of introduction. Loh and Bitner-Mathé (Reference Loh and Bitner-Mathé2005) detected variations in the wing size and shape of the African Zaprionus indianus fly in areas recently invaded by the species in Brazil. Some authors have observed significant differences in the morphometry of drosophilid wings in comparison with invaded areas, and in comparing these areas with locations where the species are native; for example, in studies conducted with Z. indianus (David et al., Reference David, Araripe, Bitner-Mathé, Capy, Goñi, Klaczko, Legout, Martins, Voudibio, Yassin and Moreteau2006; Yassin et al., Reference Yassin, David and Bitner-Mathé2009) and D. suzukii (Fraimout et al., Reference Fraimout, Jacquemart, Villarroel, Aponte, Decamps, Herrel, Cornette and Debat2018). Taken together, our results and those of these investigations reveal the capacity for morphological differentiation in the wings of invasive drosophilids in introduced areas.

Drosophila nasuta individuals with larger wings were observed in locations with colder temperature extremes (Caatinga, Cerrado and south of Atlantic Forest) and those with smaller wings occurred in locations with higher minimum and maximum temperature extremes (Amazon Forest and north of the Atlantic Forest). Changes in environmental temperature conditions are recognised to promote quantitative variations in drosophilid wing morphology. As pointed out by our results, other studies have shown that invasive drosophilids have larger wings in areas with lower temperatures in places of introduction. For example, this has been observed for the European species D. subobscura in invaded areas in North and South America (Huey et al., Reference Huey, Gilchrist, Carlson, Berrigan and Serra2000; Gilchrist et al., Reference Gilchrist, Huey, Balanyà, Pascual, Serra and Noor2004; Gilchrist and Huey, Reference Gilchrist and Huey2004) and for the African species Z. Indianus in invaded areas in India (Karan et al., Reference Karan, Moreteau and David1999) and South America (Loh et al., Reference Loh, David, Debat and Bitner-Mathé2008). These authors deemed that changes in the wing size of invasive drosophilids in response to temperature variations were associated with an adaptive process.

Our results revealed a high negative correlation between wing measurements and maximum temperatures, and especially for minimum temperatures. Fraimout et al. (Reference Fraimout, Jacquemart, Villarroel, Aponte, Decamps, Herrel, Cornette and Debat2018) tested the influence of different temperatures (16, 22 and 28°C) in a laboratory on the wing morphology of the Asian species D. suzukii from samples collected in its area of origin in Japan and in two invasion areas, France and the United States. As observed in the present study for D. nasuta, the extreme minimum temperature most influenced the wing size of D. suzukii, resulting in individuals with larger wings compared to those at temperatures of 22 and 28°C (which did not present significant differences in wing morphology between them). The importance of minimum temperatures for the occurrence of D. nasuta has been highlighted by Garcia et al. (Reference Garcia, Silva, Neves and Montes2022) in an ecological niche modelling study. These authors revealed that cold temperatures explain 21% of the global geographic distribution model of this species. Thus, colder minimum temperatures seem to influence the wing morphology of different drosophilid species, and at the same time, account for the geographic distribution capacity of D. nasuta.

Why were the largest wings of D. nasuta observed in individuals occupying locations with the lowest minimum temperatures? This probably occurs because large-winged insects are more effective at absorbing heat, making this trait advantageous in areas with more extreme cold conditions where obtaining and retaining heat are critical for survival (Heinrich, Reference Heinrich1974; Douglas, Reference Douglas1981). Thus, the phenotypic variation found in the wings of D. nasuta individuals could be the result of an adaptive process related to temperature. Laboratory experiments may confirm this result by cultivating geographic samples of this species at different temperatures.

The present study is a pioneer in describing a morphological variation pattern in the wing size of D. nasuta, sampling individuals from a large part of the geographic distribution of this recent invasive species in Brazil. This condition reveals the adaptive potential of D. nasuta in introduced areas.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0007485324000580

Acknowledgements

This work was supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, process number: 425274/2018-7).

Competing interests

None.

References

Berwaerts, K, Aerts, P and van Dyck, H (2006) On the sex-specific mechanisms of butterfly flight: flight performance relative to flight morphology, wing kinematics, and sex in Pararge aegeria. Biological Journal of the Linnean Society 89, 675687.CrossRefGoogle Scholar
Betts, CR and Wootton, RJ (1988) Wing shape and flight behaviour in butterflies (Lepidoptera: Papilionoidea and Hesperioidea): a preliminary analysis. Journal of Experimental Biology 138, 271288.CrossRefGoogle Scholar
Bitner-Mathé, BC and Klaczko, LB (1999) Size and shape heritability in natural populations of Drosophila mediopunctata: temporal and microgeographical variation. Genetica 105, 3542.CrossRefGoogle ScholarPubMed
David, JR, Araripe, LO, Bitner-Mathé, BC, Capy, P, Goñi, B, Klaczko, LB, Legout, H, Martins, MB, Voudibio, J, Yassin, A and Moreteau, B (2006) Quantitative trait analysis and geographic variability of natural populations of Zaprionus indianus, a recent invader in Brazil. Heredity 96, 5362.CrossRefGoogle ScholarPubMed
Douglas, MM (1981) Thermoregulatory significance of thoracic lobes in the evolution of insect wings. Science 211, 8486.CrossRefGoogle ScholarPubMed
Fox, NS, Veneracion, JJ and Blois, JL (2020) Are geometric morphometric analyses replicable? Evaluating landmark measurement error and its impact on extant and fossil Microtus classification. Ecology and Evolution 10, 32603275.CrossRefGoogle ScholarPubMed
Fraimout, A, Jacquemart, P, Villarroel, B, Aponte, DJ, Decamps, T, Herrel, A, Cornette, R and Debat, V (2018) Phenotypic plasticity of Drosophila suzukii wing to developmental temperature: implications for flight. Journal of Experimental Biology 221, jeb166868.CrossRefGoogle Scholar
Garcia, ACL, Silva, FP, Neves, CHCB and Montes, MA (2022) Current and future potential global distribution of the invading species Drosophila nasuta (Diptera: Drosophilidae). Biological Journal of the Linnean Society 135, 208221.CrossRefGoogle Scholar
Gilchrist, GW and Huey, RB (2004) Plastic and genetic variation in wing loading as a function of temperature within and among parallel clines in Drosophila subobscura. Integrative and Comparative Biology 44, 461470.CrossRefGoogle ScholarPubMed
Gilchrist, GW, Huey, RB, Balanyà, J, Pascual, M, Serra, L and Noor, M (2004) A time series of evolution in action: a latitudinal cline in wing size in South American Drosophila subobscura. Evolution 58, 768780.Google Scholar
Glass, JR, Burnett, NP, Combes, SA, Weisman, E, Helbling, A and Harrison, JF (2024) Flying, nectar-loaded honey bees conserve water and improve heat tolerance by reducing wingbeat frequency and metabolic heat production. Proceedings of the National Academy of Sciences 121, e2311025121.CrossRefGoogle ScholarPubMed
Guayasamin, JM, Ribas, CC, Carnaval, AC, Carrillo, JD, Hoorn, C, Lohmann, LG, Riff, D, Ulloa, CU and Albert, JS (2024) Evolution of Amazonian biodiversity: a review. Acta Amazonica 54, e54bc21360.CrossRefGoogle Scholar
Hammer, Ø, Harper, DAT and Ryan, PD (2001) Paleontological statistics software package for education and data analysis. Palaeontologia Electronica 4, 19.Google Scholar
Heinrich, B (1974) Thermoregulation in endothermic insects. Science 185, 747756.CrossRefGoogle ScholarPubMed
Huey, RB, Gilchrist, GW, Carlson, ML, Berrigan, D and Serra, L (2000) Rapid evolution of a geographic cline in size in an introduced fly. Science 287, 308309.CrossRefGoogle Scholar
IBGE (2019) Biomas e sistema costeiro-marinho do Brasil: compatível com a escala 1: 250000. Coordenação de Recursos Naturais e Estudos Ambientais, Rio de Janeiro. Available at https://biblioteca.ibge.gov.br/visualizacao/livros/liv101676.pdfGoogle Scholar
Karan, D, Moreteau, B and David, JR (1999) Growth temperature and reaction norms of morphometrical traits in a tropical drosophilid: Zaprionus indianus. Heredity 83, 398407.CrossRefGoogle Scholar
Laparie, M, Vernon, P, Cozic, Y, Frenot, Y, Renault, D and Debat, V (2016) Wing morphology of the active flyer Calliphora vicina (Diptera: Calliphoridae) during its invasion of a sub-Antarctic archipelago where insect flightlessness is the rule. Biological Journal of the Linnean Society 119, 179193.CrossRefGoogle Scholar
Leão, BFD, Roque, F, Deus, PHM and Tidon, R (2017) What happens when exotic species arrive in a new area? The case of drosophilids in the Brazilian Savanna. Drosophila Information Service 100, 6569.Google Scholar
Loh, R and Bitner-Mathé, BC (2005) Variability of wing size and shape in three populations of a recent Brazilian invader, Zaprionus indianus (Diptera: Drosophilidae), from different habitats. Genetica 125, 271281.CrossRefGoogle ScholarPubMed
Loh, R, David, JR, Debat, V and Bitner-Mathé, BC (2008) Adaptation to different climates results in divergent phenotypic plasticity of wing size and shape in an invasive drosophilid. Journal of Genetics 87, 209217.CrossRefGoogle Scholar
Martins, TCSL, Santos, MFS, Santos, MMS, Araújo, JS, Neves, CHCB, Garcia, ACL and Montes, MA (2023) Drosophila nasuta (Diptera, Drosophilidae) in Brazil: a decade of invasion and occupation of more than half of the country. Anais da Academia Brasileira de Ciências 95, e20230507.CrossRefGoogle Scholar
Medeiros, HF, Monteiro, MP, Caçador, AWB, Pereira, CM, Praxedes, CLB, Martins, MB, Montes, MA and Garcia, ACL (2022) First records of the invading species Drosophila nasuta (Diptera: Drosophilidae) in the Amazon. Neotropical Entomology 51, 493497.CrossRefGoogle ScholarPubMed
Mittermeier, RA, Turner, WR, Larsen, FW, Brooks, TM and Gascon, C (2011) Global biodiversity conservation: the critical role of hotspots. In Zachos, F and Habel, J (eds), Biodiversity Hotspots: Distribution and Protection of Conservation Priority Areas. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 322.CrossRefGoogle Scholar
Mollot, G, Pantel, JH and Romanuk, TN (2017) The effects of invasive species on the decline in species richness: a global meta-analysis. Advances in Ecological Research 56, 6183.CrossRefGoogle Scholar
Montes, MA, Neves, CHCB, Ferreira, AF, Santos, MFS, Quintas, JIFP, Manetta, GDA, Oliveira, PV and Garcia, ACL (2021) Invasion and spreading of Drosophila nasuta (Diptera, Drosophilidae) in the Caatinga Biome, Brazil. Neotropical Entomology 50, 571578.CrossRefGoogle ScholarPubMed
Oliveira, GH (2021) Avaliação da homogeneização biótica e preferência ambiental de drosofilídeos invasores no norte da Floresta Atlântica (Masters Thesis). Universidade Federal Rural de Pernambuco, Brazil.Google Scholar
Pass, G (2018) Beyond aerodynamics: the critical roles of the circulatory and tracheal systems in maintaining insect wing functionality. Arthropod Structure and Development 47, 391407.CrossRefGoogle ScholarPubMed
Przybylska, MS, de Brito, FA and Tidon, R (2016) Ecological insights from assessments of phenotypic plasticity in a Neotropical species of Drosophila. Journal of Thermal Biology 62, 714.CrossRefGoogle Scholar
Pyšek, P, Hulme, PE, Simberloff, D, Bacher, S, Blackburn, TM, Carlton, JT, Dawson, W, Essl, F, Foxcroft, LC, Genovesi, P, Jeschke, JM, Kühn, I, Liebhold, AM, Mandrak, NE, Meyerson, LA, Pauchard, A, Pergl, J, Roy, HE, Seebens, H, van Kleunen, M, Vilà, M, Wingfield, MJ and Richardson, DM (2020) Scientists’ warning on invasive alien species. Biological Reviews 95, 15111534.CrossRefGoogle ScholarPubMed
Rejmánek, M and Richardson, DM (1996) What attributes make some plant species more invasive? Ecology 77, 16551661.CrossRefGoogle Scholar
Rohlf, FJ (2016) Thin-plate spline (TPS) computer program. Available at http://www.sbmorphometrics.org/index.htmlGoogle Scholar
Santos, MFS, Neves, CHCB, Oliveira, E, Ribeiro, MC, Faria-Júnior, JEQ, Montes, MA and Garcia, ACL (2021) Genetic diversity of the invasive species Drosophila nasuta (Diptera, Drosophilidae) in different biomes in Brazil. p. 275. In: 66° Brazilian Congress of Genetics, Ribeirão Preto, Brazil, 13 September – 16 September, Brazilian Society of Genetics.Google Scholar
Schäfer, MA, Berger, D, Rohner, PT, Kjaersgaard, A, Bauerfeind, SS, Guillaume, F, Fox, CW and Blanckenhorn, WU (2018) Geographic clines in wing morphology relate to colonization history in New World but not Old World populations of yellow dung flies. Evolution 72, 16291644.CrossRefGoogle Scholar
Seebens, H, Blackburn, TM, Dyer, EE, Genovesi, P, Hulme, PE, Jeschke, JM, Pagad, S, Pyšek, P, van Kleunen, M, Winter, M, Ansong, M, Arianoutsou, M, Bacher, S, Blasius, B, Brockerhoff, EG, Brundu, G, Capinha, C, Causton, CE, Celesti-Grapow, L, Dawson, W, Dullinger, S, Economo, EP, Fuentes, N, Guénard, B, Jäger, H, Kartesz, J, Kenis, M, Kühn, I, Lenzner, B, Liebhold, AM, Mosena, A, Moser, D, Nentwig, W, Nishino, M, Pearman, D, Pergl, J, Rabitsch, W, Rojas-Sandoval, J, Roques, A, Rorke, S, Rossinelli, S, Roy, HE, Scalera, R, Schindler, S, Štajerová, K, Tokarska-Guzik, B, Walker, K, Ward, DF, Yamanaka, T and Essl, F (2018) Global rise in emerging alien species results from increased accessibility of new source pools. Proceedings of the National Academy of Sciences 115, E2264E2273.CrossRefGoogle ScholarPubMed
Silva, JMC, Leal, IR and Tabarelli, M (2017) Caatinga: The Largest Tropical Dry Forest Region in South America. New York: Springer.CrossRefGoogle Scholar
Silva, DG, Schmitz, HJ, Medeiros, HF, Rohde, C, Montes, MA and Garcia, ACL (2020) Geographic expansion and dominance of the invading species Drosophila nasuta (Diptera, Drosophilidae) in Brazil. Journal of Insect Conservation 24, 525534.CrossRefGoogle Scholar
Spatz, DR, Jones, HP, Bonnaud, E, Kappes, P, Holmes, ND and Guzmán, YB (2023) Invasive species threats to seabirds. In Young, L and VanderWerf, E (eds), Conservation of Marine Birds. London: Academic Press, pp. 97130.CrossRefGoogle Scholar
Su, T, Cui, G, Man, Z, Li, W, Huang, Z, Chen, J and Zhao, M (2023) Interspecific association of sika deer in terrestrial animal communities of Liancheng National Nature Reserve, China. Integrative Zoology 18, 688703.CrossRefGoogle ScholarPubMed
Sun, J, Koski, TM, Wickham, JD, Baranchikov, YN and Bushley, KE (2024) Emerald ash borer management and research: decades of damage and still expanding. Annual Review of Entomology 69, 239258.CrossRefGoogle ScholarPubMed
Tabarelli, M, Pinto, LP, Silva, JM, Hirota, M and Bede, L (2005) Challenges and opportunities for biodiversity conservation in the Brazilian Atlantic Forest. Conservation Biology 19, 695700.CrossRefGoogle Scholar
Tidon, R and Sene, FM (1988) A trap that retains and keeps Drosophila alive. Drosophila Information Service 67, 89.Google Scholar
Vilela, CR and Goñi, B (2015) Is Drosophila nasuta Lamb (Diptera, Drosophilidae) currently reaching the status of a cosmopolitan species? Revista Brasileira de Entomologia 59, 346350.CrossRefGoogle Scholar
Walter, BMT, Carvalho, AD and Ribeiro, JF (2008) O conceito de savana e de seu componente Cerrado. In Sano, SM, de Almeida, SP and Ribeiro, JF (eds), Cerrado: ecologia e flora. Distrito Federal: Embrapa Cerrados, pp. 2145.Google Scholar
Wootton, RJ (1992) Functional morphology of insect wings. Annual Review of Entomology 37, 113140.CrossRefGoogle Scholar
Yassin, A, David, JR and Bitner-Mathé, BC (2009) Phenotypic variability of natural populations of an invasive drosophilid, Zaprionus indianus, on different continents: comparison of wild-living and laboratory-grown flies. Comptes Rendus Biologies 332, 898908.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. On the left, map of Brazil with an indication of its biomes. On the right, partial enlargement of the map, indicating the sampling locations of Drosophila nasuta.

Figure 1

Table 1. Drosophila nasuta biomes and sampling locations in Brazil with data on geographic coordinates, sampling dates and climate characterisation (temperature and rainfall)

Figure 2

Figure 2. Right wing of a male Drosophila nasuta with indications of the measurements that were taken from six reference points: OA, OB, OE, AB, AE, BC, BD, BE, CD, CE and DE.

Figure 3

Table 2. Arithmetic means (in mm) and standard deviations for the different reference point measurements of the right wings of Drosophila nasuta males from different biomes and locations in Brazil

Figure 4

Table 3. Tukey's test (P < 0.001) for measurements of the right wings of Drosophila nasuta males collected in different locations in Brazilian biomes

Figure 5

Table 4. Classification by discriminant function analysis followed by cross-validation for the two groups obtained by analysis of means and ANOVA/Tukey's test, based on measurements of the right wings of Drosophila nasuta males collected in different Brazilian locations and biomes

Figure 6

Table 5. Pearson's correlation between measurements of the right wings of Drosophila nasuta males collected in different biomes in Brazil and abiotic factors (rainfall, maximum and minimum temperatures)

Supplementary material: File

Santos et al. supplementary material

Santos et al. supplementary material
Download Santos et al. supplementary material(File)
File 15.9 KB