Genetic Diversity and Population Structure of Alnus cremastogyne as Revealed by Microsatellite Markers

被引:11
|
作者
Guo, Hong-Ying [1 ,2 ,3 ,4 ]
Wang, Ze-Liang [2 ,4 ]
Huang, Zhen [1 ,2 ,3 ,4 ]
Chen, Zhi [4 ]
Yang, Han-Bo [4 ]
Kang, Xiang-Yang [1 ,2 ,3 ,4 ]
机构
[1] Beijing Forestry Univ, Beijing Adv Innovat Ctr Tree Breeding Mol Design, Beijing 100083, Peoples R China
[2] Beijing Forestry Univ, Natl Engn Lab Tree Breeding, Beijing 100083, Peoples R China
[3] Beijing Forestry Univ, Beijing Lab Urban & Rural Ecol Environm, Beijing 100083, Peoples R China
[4] Sichuan Acad Forestry, Chengdu 610081, Sichuan, Peoples R China
关键词
Alnus cremastogyne; SSR; genetic diversity; population structure; genetic improvement; polyploid; MARITIMA SEASIDE ALDER; FLOW-CYTOMETRY; GLUTINOSA; GENOTYPE; INFERENCE; SOFTWARE; PROGRAM; NUMBER;
D O I
10.3390/f10030278
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Alnus cremastogyne Burk. is a nonleguminous, nitrogen-fixing tree species. It is also the most important endemic species of Alnus Mill. in China, possessing important ecological functions. This study investigated population genetic variation in A. cremastogyne using 175 trees sampled from 14 populations native to Sichuan Province with 25 simple sequence repeat (SSR) markers. Our analysis showed that A. cremastogyne has an average of 5.83 alleles, 3.37 effective alleles, an expected heterozygosity of 0.63, and an observed heterozygosity of 0.739, indicating a relatively high level of genetic diversity. The A. cremastogyne populations in Liangshan Prefecture (Meigu, Mianning) showed the highest level of genetic diversity, whereas the Yanting population had the lowest. Our analysis also showed that the average genetic differentiation of 14 A. cremastogyne populations was 0.021. Analysis of molecular variance (AMOVA) revealed that 97% of the variation existed within populations; only 3% was among populations. Unweighted pair-group method with arithmetic means (UPGMA) clustering and genetic structure analysis showed that the 14 A. cremastogyne populations could be clearly divided into three clusters: Liangshan Prefecture population, Ganzi Prefecture population, the other population in the mountain area around the Sichuan Basin and central Sichuan hill area, indicating some geographical distribution. Further analysis using the Mantel test showed that this geographical distribution was significantly correlated with elevation.
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页数:15
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