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Genetic diversity and structure of the endemic and endangered species Aristolochia delavayi growing along the Jinsha River.
Yu, Yu-Long; Wang, Hui-Chun; Yu, Zhi-Xiang; Schinnerl, Johann; Tang, Rong; Geng, Yu-Peng; Chen, Gao.
Affiliation
  • Yu YL; School of Ecology and Environmental Science, Yunnan University, Kunming, 650091, China.
  • Wang HC; Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China.
  • Yu ZX; Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China.
  • Schinnerl J; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Tang R; Sichuan Panzhihua Cycas National Nature Reserver Bureau, Panzhihua, 617000, China.
  • Geng YP; Department of Botany and Biodiversity Research, University of Vienna, Rennweg 14, A-1030, Vienna, Austria.
  • Chen G; Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China.
Plant Divers ; 43(3): 225-233, 2021 Jun.
Article in En | MEDLINE | ID: mdl-34195507
ABSTRACT
The traditional medicinal plant, and endangered species Aristolochia delavayi (Aristolochiaceae) is an endemic species in China and occurs in the warm and dry areas along the Jinsha river. It is also a specific host of the larvae of Byasa daemonius, a vulnerable butterfly. In this study, 15 pairs of polymorphic microsatellite primers of A. delavayi were designed and screened based on the Simple Sequence Repeats (SSR) loci found by using the results of genome skimming. Based on these 15 SSR markers, the genetic diversity and structure of 193 individuals from ten natural populations were analyzed in detail. In comparison to other endemic and endangered plants in the region, the population of A. delavayi possess a relatively high genetic diversity (He = 0.550, I = 1.112). AMOVA analysis showed that 68.4% of the total genetic diversity was within populations and 31.6% of the variation occurred among populations. There was a significant genetic differentiation among natural populations of A. delavayi detectable, with low gene flow (Nm = 0.591). This might be attributed to geographical barriers and limited seed dispersal. To test the isolation by distance (IBD), we performed Mantel test, which showed a significant correlation between the geographic and genetic distances. In order to cope with the possible biases caused by IBD, we additionally performed Bayesian genetic cluster analyses and principal coordinate analysis (PCoA). The final cluster analysis revealed three groups with distinct geographical distribution. Habitat fragmentation and limited gene flow between these populations may be the main reasons for the current genetic structure. For conservation of this species, we suggest to divide its populations into three protection management units, with subsequent focus on the Yongsheng and Luquan populations which experienced a genetic bottleneck event in the past.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Plant Divers Year: 2021 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Plant Divers Year: 2021 Document type: Article Affiliation country: