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Independent origins of populations from Dehong State, Yunnan Province, and the multiple introductions and post-introduction admixture sources of mile-a-minute (Mikania micrantha) in China

Published online by Cambridge University Press:  19 April 2021

Mei Ji
Affiliation:
Researcher, Yunnan Academy of Forestry and Grassland, Kunming, China
Sangzi Ze
Affiliation:
Associate Researcher, Yunnan Forestry and Grassland Pest Control and Quarantine Bureau, Kunming, China
Saichun Tang
Affiliation:
Associate Researcher, Guangxi Key Laboratory of Plant Conservation and Restoration Ecology in Karst Terrain, Guangxi Institute of Botany, Guilin, China
Lianrong Hu
Affiliation:
Assistant Researcher, Yunnan Academy of Forestry and Grassland, Kunming, China
Junmin Li*
Affiliation:
Professor, Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou, China
*
Author for correspondence: Junmin Li, Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou318000, China. (Email: lijm@tzc.edu.cn)

Abstract

Mile-a-minute (Mikania micrantha Kunth) is a tropical American species and has become a worldwide invasive weed. It was first introduced to mainland China in 1983 in Yingjiang City, Dehong State, Yunnan Province. To assess the origins of populations from Dehong State, Yunnan Province, the genetic structure of 427 individuals from 11 M. micrantha populations from Yunnan, Guangxi, Hainan, and Guangdong provinces were analyzed. A total of 28 alleles were detected in 12 nuclear microsatellite loci. Genetic diversity at the population level was relatively high. An analysis of molecular variance showed that most of the variation occurred within populations (82.73%), and only 18.27% occurred among populations. The genetic differentiation coefficient (FST) was 0.183. The estimated gene flow (Nm) from FST was 1.116. The independent origins of four populations collected from Dehong State, Yunnan Province, was determined by the unweighted pair-group method with arithmetic means clustering and STRUCTURE analysis. Three gene clusters and one admixture gene cluster were found. A Mantel test of pairwise Nei’s genetic distances and pairwise geographic distances revealed no evidence for isolation by distance (r = 0.068, P = 0.343). These results suggest that the post-introduction admixture caused by multiple introductions and high gene flow might contribute to the evolutionary adaptation of M. micrantha. These results could provide a scientific basis for the management of invasive M. micrantha.

Type
Research Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the Weed Science Society of America

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Footnotes

Associate Editor: Mithila Jugulam, Kansas State University

References

Banerjee, AK, Mukherjee, A, Guo, WX, Ng, WL, Huang, YL (2019) Combining ecological niche modelling with genetic lineage information to predict potential distribution of Mikania micrantha Kunth in South and Southeast Asia under predicted climate change. Glob Ecol Conserv 20:e00800 CrossRefGoogle Scholar
Bossdorf, O, Auge, H, Lafuma, L, Rogers, WE, Siemann, E, Prati, D (2005) Phenotypic and genetic differentiation between native and introduced plant populations. Oecologia 144:111 CrossRefGoogle ScholarPubMed
Bravo-Monzón, ÁE, González-Rodríguez, A, Espinosa-García, FJ (2018) Spatial structure of genetic and chemical variation in native population of the mile-a-minute weed Mikania micrantha . Biochem System Ecol 76:2331 CrossRefGoogle Scholar
Dlugosch, KM, Anderson, SR, Braasch, J, Cang, FA, Gillette, HD (2015) The devil is in the details: genetic variation in introduced populations and its contributions to invasion. Mol Ecol 24:20952111 CrossRefGoogle Scholar
Dlugosch, KM, Parker, IM (2008) Founding events in species invasions: genetic variation, adaptive evolution, and the role of multiple introductions. Mol Ecol 17:431449 CrossRefGoogle ScholarPubMed
Du, F, Yang, YM, Li, JQ, Yin, WY (2006) A review of Mikania and the impact of M. micrantha (Asteraceae) in Yunnan. Acta Bot Yunnanica 28:505508 Google Scholar
Earl, DA, von Holdt, BM (2012) STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conserv Genet Resour 4:59361 CrossRefGoogle Scholar
Edmands, S (1999) Heterosis and outbreeding depression in interpopulation crosses spanning a wide range of divergence. Evolution 53:17571768 CrossRefGoogle Scholar
Evanno, G, Regnaut, S, Goudet, J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol 14:26112620 CrossRefGoogle ScholarPubMed
Geng, SL, Chen, Q, Cai, WL, Cao, AC, OuYang, CB (2016) Genetic variation in the invasive weed Mikania micrantha (Asteraceae) suggests highways as corridors for its dispersal in southern China. Ann Bot 19:18 Google Scholar
Hong, L, Niu, H, Shen, H, Ye, WH, Cao, HL (2010) Development and characterization of microsatellite markers for the invasive weed Mikania micrantha (Asteraceae). Mol Ecol Resour 8:193195 CrossRefGoogle Scholar
Hong, L, Shen, H, Ye, WH, Cao, HL, Wang, ZM (2007) Self-incompatibility in Mikania micrantha in South China. Weed Res 47:280283 CrossRefGoogle Scholar
Keller, LF, Waller, DM (2002) Inbreeding effects in wild populations. Trend Ecol Evol 17:1923 CrossRefGoogle Scholar
Kolbe, JJ, Glor, RE, Schettino, LR, Lara, AC, Larson, A, Losos, JB (2004) Genetic variation increases during biological invasion by a Cuban lizard. Nature 431:177181 CrossRefGoogle ScholarPubMed
Kong, GH, Wu, QG, Hu, QM (2000) Appearance of exotic weed Mikania micrantha H.B.K. in China. J Trop Subtrop Bot 8:27 Google Scholar
Lambrinos, JG (2004) How interactions between ecology and evolution influence contemporary invasion dynamics. Ecology 85:20612070 CrossRefGoogle Scholar
Li, FF, van Kleunen, M, Li, JM, Liu, XY, Gao, KX, Zhu, JF, Zhao, XJ, Zhao, CY, Li, JS (2019) Patterns of genetic variation reflect multiple introductions and pre-admixture sources of common ragweed (Ambrosia artemisiifolia) in China. Biol Invasions 21:21912209 CrossRefGoogle Scholar
Li, JM, Jin, ZX (2007) Genetic variation and differentiation in Torreya jackii Chun, an endangered plant endemic to China. Plant Sci 172:10481053 CrossRefGoogle Scholar
Li, Y, Stift, M, van Kleunen, M (2018) Admixture increases performance of an invasive plant beyond first generation heterosis. J Ecol 106:15951606 CrossRefGoogle Scholar
Nei, M (1972) Genetic distance between populations. Am Nat 106:283292 CrossRefGoogle Scholar
Park, S (2001) Excel Microsatellite Toolkit. Version 3.1.1. Dublin, Ireland: Animal Genomics Lab website, University College. http://animalgenomics.ucd.ie/sdepark/ms-toolkit/. Accessed: October 31, 2010Google Scholar
Peakall, R, Smouse, PE (2012) GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update. Bioinformatics 28:25372539 CrossRefGoogle ScholarPubMed
Pritchard, JK, Stephens, M, Donnelly, P (2000) Inference of population structure using multilocus genotype data. Genetics 155:945959 CrossRefGoogle Scholar
Qiao, HM, Liu, WW, Zhang, YH, Zhang, YY, Li, QSQ (2019) Genetic admixture accelerates invasion via provisioning rapid adaptive evolution. Mol Ecol 28:40124027 CrossRefGoogle ScholarPubMed
Rius, M, Darling, JA (2014) How important is intraspecific genetic admixture to the success of colonising populations? Trend Ecol Evol 29:233242 CrossRefGoogle ScholarPubMed
Sakai, AK, Allendorf, FW, Holt, JS, Lodge, DM, Weller, SG (2001) The population biology of invasive species. Annu Rev Ecol Syst 32:305332 CrossRefGoogle Scholar
Schierenbeck, KA, Ellstrand, NC (2009) Hybridization and the evolution of invasiveness in plants and other organisms. Biol Invasions 11:10931105 CrossRefGoogle Scholar
Simberloff, D, Martin, JL, Genovesi, P, Maris, V, Wardle, DA, Aronson, J, Courchamp, F, Galil, B, Garcia-Berthou, E, Pascal, M (2013) Impacts of biological invasions: what’s what and the way forward. Trend Ecol Evol 28:5866 CrossRefGoogle ScholarPubMed
Slatkin, M, Barton, NI (1989) A comparison of three indirect methods for estimating average levels of gene flow. Evolution 43:13491368 CrossRefGoogle ScholarPubMed
Smith, AL, Hodkingson, TR, Villellas, J, Catford, JA, Buckley, YM (2020) Global gene flow release invasive plants from environmental constraints on genetic diversity. Proc Natl Acad Sci USA 117:42184227 CrossRefGoogle Scholar
van Boheemen, LA, Lombaert, E, Nurkowski, KA, Gauffre, B, Rieseberg, LH, Hodgins, KA (2017) Multiple introductions, admixture and bridgehead invasion characterize the introduction history of Ambrosia artemisiifolia in Europe and Australia. Mol Ecol 26:54215434 CrossRefGoogle ScholarPubMed
Vellend, M, Tomimatsu, DH (2010) Effects of genotype identity and diversity on the invasiveness and invasibility of plant populations. Oecologia 162:371381 CrossRefGoogle ScholarPubMed
Wang, BS, Liao, WB, Zan, QJ, Li, MG, Zhou, XY, Gao, SH (2003) The spread of Mikania micrantha in China. Acta Sci Nat Univ Sunyatseni 42:4750 Google Scholar
Wang, T, Chen, GP, Zan, QJ, Wang, CB, Su, YJ (2012) AFLP genome scan to detect genetic structure and candidate loci under selection for local adaptation of the invasive weed Mikania micrantha . PLoS ONE 7:e41310 CrossRefGoogle ScholarPubMed
Wang, T, Su, YJ, Chen, GP (2008) Population genetic variation and structure of the invasive weed Mikania micrantha in Southern China: consequences of rapid range expansion. J Hered 99:2233 CrossRefGoogle ScholarPubMed
Wang, T, Wang, Z, Chen, GP, Wang, CB, Su, YJ (2016) Invasive chloroplast population genetics of Mikania micrantha in China: no local adaptation and negative correlation between diversity and geographic distance. Front Plant Sci 7:1426 Google ScholarPubMed
Ward, S (2006) Genetic analysis of invasive plant populations at different spatial scales. Biol Invasions 8:541552 CrossRefGoogle Scholar
Wei, CQ, Pan, YM, Tang, SC, Lin, CH, Zhou, CQ (2014) Distribution and damage of invasive plant Mikania micrantha in Guangxi. Guihaia 34:816820 Google Scholar
Wright, S (1931) Evolution in Mendelian populations. Genetics 16:97159 CrossRefGoogle ScholarPubMed
Yan, YB, Huang, YL, Fang, XT, Lu, L, Zhou, RC, Ge, XJ, Shi, SH (2011) Development and characterization of EST-SSR markers in the invasive weed Mikania micrantha (Asteraceae). Am J Bot 98:e1e3 CrossRefGoogle Scholar
Yeh, FC, Boyle, TJB (1997) Population genetic analysis of co-dominant and dominant markers and quantitative traits. Belg J Bot 129:157 Google Scholar
Yu, FS, Wu, MK (2009) Occurrence and control of exotic weed Mikania micrantha in Hainan. Trop For 37:114 Google Scholar
Zan, QJ, Wang, YJ, Wang, BS, Liao, WB, Li, MG (2000) The distribution and harm of the exotic weed Mikania micrantha . Chin J Ecol 19:5861 Google Scholar
Zhang, LY, Ye, WH, Cao, HL, Feng, HL (2004) Mikania micrantha H B K in China—an overview. Weed Res 44:4249 CrossRefGoogle Scholar
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