Genetic diversity and population structure of Gerbera delavayi (Asteraceae) in southwest China: implications for conservation

被引:3
作者
Xu, Xiao-Dan [1 ]
Zheng, Wei [2 ]
Chen, Long-Qing [3 ]
Wen, Jun [4 ]
机构
[1] Kunming Univ Sci & Technol, Fac Art & Commun, Kunming 650500, Yunnan, Peoples R China
[2] Kunming Univ Sci & Technol, Fac Architecture & City Planning, Kunming 650500, Yunnan, Peoples R China
[3] Huazhong Agr Univ, Coll Hort & Forestry Sci, Wuhan 430070, Hubei, Peoples R China
[4] Smithsonian Inst, Natl Museum Nat Hist, Dept Bot, MRC 166,POB 371012, Washington, DC 20013 USA
基金
中国国家自然科学基金;
关键词
SSR MARKERS; SOFTWARE; FLOW; ADAPTATION; SUNFLOWER; SURVIVAL; PROGRAM; PATTERN; HISTORY; YUNNAN;
D O I
10.5735/085.054.0623
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Gerbera delavayi (fireweed, Asteraceae) is a perennial herb native to southwest China and the neighboring Vietnam. In recent years, the species' distribution and abundance have seriously declined, because its leaves have been excessively harvested for textile industry. In this study, 19 polymorphic and neutral microsatellite primer pairs were developed based on transcriptome sequencing of G. delavayi and then used to infer the influence of human activities on the genetic diversity and population structure of nine wild populations (204 individuals). Moderate genetic diversity was detected based on the allelic richness A(R) = 3.436, Shannon's information index I = 0.789, observed heterozygosity H-O = 0.304, and expected heterozygosity H-E = 0.415, and moderate genetic differentiation F-ST = 0.110 (p < 0.001) was found among the nine populations. High genetic differentiation, limited gene flow, and a clear genetic barrier were detected between one population and the remaining eight. The results suggest that isolation barriers and human overexploitation have led to the moderate genetic diversity in the populations of G. delavayi. Environmental factors, floristic composition and geographic barriers of mountain ranges affected the genetic structure of G. delavayi. When utilizing the current wild resources, protection of genetic diversity both in situ and ex situ need to be considered.
引用
收藏
页码:409 / 422
页数:14
相关论文
共 69 条
[1]   LOSITAN:: A workbench to detect molecular adaptation based on a Fst-outlier method [J].
Antao, Tiago ;
Lopes, Ana ;
Lopes, Ricardo J. ;
Beja-Pereira, Albano ;
Luikart, Gordon .
BMC BIOINFORMATICS, 2008, 9 (1)
[2]   Assessing genetic diversity in clonal organisms: Low diversity or low resolution? Combining power and cost efficiency in selecting markers [J].
Arnaud-Haond, S ;
Alberto, F ;
Teixeira, S ;
Procaccini, G ;
Serrao, EA ;
Duarte, CM .
JOURNAL OF HEREDITY, 2005, 96 (04) :434-440
[3]   Adaptation and speciation:: what can Fst tell us? [J].
Beaumont, MA .
TRENDS IN ECOLOGY & EVOLUTION, 2005, 20 (08) :435-440
[4]   Evaluating loci for use in the genetic analysis of population structure [J].
Beaumont, MA ;
Nichols, RA .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 1996, 263 (1377) :1619-1626
[5]   Population genetic structure of wild daffodils (Narcissus pseudonarcissus L.) at different spatial scales [J].
Colling, Guy ;
Hemmer, Pascal ;
Bonniot, Aurore ;
Hermant, Sylvie ;
Matthies, Diethart .
PLANT SYSTEMATICS AND EVOLUTION, 2010, 287 (3-4) :99-111
[6]   STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method [J].
Earl, Dent A. ;
vonHoldt, Bridgett M. .
CONSERVATION GENETICS RESOURCES, 2012, 4 (02) :359-361
[7]   High genetic diversity in a rare and endangered sunflower as compared to a common congener [J].
Ellis, J. R. ;
Pashley, C. H. ;
Burke, J. M. ;
McCauley, D. E. .
MOLECULAR ECOLOGY, 2006, 15 (09) :2345-2355
[8]   Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study [J].
Evanno, G ;
Regnaut, S ;
Goudet, J .
MOLECULAR ECOLOGY, 2005, 14 (08) :2611-2620
[9]   Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows [J].
Excoffier, Laurent ;
Lischer, Heidi E. L. .
MOLECULAR ECOLOGY RESOURCES, 2010, 10 (03) :564-567
[10]  
Felsenstein J., 2005, PHYLIP (phylogeny inference package) version 3.6