Open AccessThe Genetic Diversity and Geographic Differentiation of the Wild Soybean in Northeast China Based on Nuclear Microsatellite Variation
Author(s) -
Hongkun Zhao,
Yumin Wang,
Feifei Xing,
Xiaodong Liu,
Chunlong Yuan,
Guangxun Qi,
Jixun Guo,
Yingshan Dong
Publication year - 2018
Publication title -
international journal of genomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.705
H-Index - 24
eISSN - 2314-4378
pISSN - 2314-436X
DOI - 10.1155/2018/8561458
Subject(s) - mantel test , genetic diversity , microsatellite , biology , latitude , genetic distance , genetic variation , geographical distance , population , locus (genetics) , analysis of molecular variance , longitude , allele , evolutionary biology , genetics , geography , demography , gene , sociology , geodesy
In this study, the genetic diversity and population structure of 205 wild soybean core collections in Northeast China from nine latitude populations and nine longitude populations were evaluated using SSR markers. A total of 973 alleles were detected by 43 SSR loci, and the average number of alleles per locus was 22.628. The mean Shannon information index ( I ) and the mean expected heterozygosity were 2.528 and 0.879, respectively. At the population level, the regions of 42°N and 124°E had the highest genetic diversity among all latitudes and longitudes. The greater the difference in latitude was, the greater the genetic distance was, whereas a similar trend was not found in longitude populations. Three main clusters (1N, <41°N-42°N; 2N, 43°N-44°N; and 3N, 45°N–>49°N) were assigned to populations. AMOVA analysis showed that the genetic differentiation among latitude and longitude populations was 0.088 and 0.058, respectively, and the majority of genetic variation occurred within populations. The Mantel test revealed that genetic distance was significantly correlated with geographical distance ( r = 0.207, p < 0.05). Furthermore, spatial autocorrelation analysis showed that there was a spatial structure ( ω = 119.58, p < 0.01) and the correlation coefficient ( r ) decreased as distance increased within a radius of 250 km.