Microsatellite analyses reveal genetic diversity and population structure of Cipangopaludina chinensis in Guangxi, China

Cipangopaludina chinensis is a unique species with both medicinal and culinary applications, offering significant economic and nutritional benefits in China. However, the large amount of fishing and the invasion of other species have severely impacted the natural resources of C. chinensis in China....

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Main Authors: Xiao-kai Wei, Kang-qi Zhou, Xin-xi Zou, Xue-ling Zhang, Yu-Sen Li, Hui Luo, Yin Huang, Xue-song Du, Jun-qi Qin, Zhong Chen, Yong Lin, Xian-hui Pan, Hua Ye
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Aquaculture Reports
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Online Access:http://www.sciencedirect.com/science/article/pii/S2352513425000316
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Summary:Cipangopaludina chinensis is a unique species with both medicinal and culinary applications, offering significant economic and nutritional benefits in China. However, the large amount of fishing and the invasion of other species have severely impacted the natural resources of C. chinensis in China. Moreover, the molecular-level population structure of C. chinensis remains poor. In this study, the genetic diversity and population structure of 10 different geographical populations of C. chinensis from Guangxi, China, were analyzed using microsatellite DNA markers. The results showed that a total of 176 alleles in the populations were detected by 12 microsatellite markers. The polymorphism information content (PIC) was 0.523–0.918, indicating that these markers were highly polymorphic (PIC > 0.5). The observed heterozygosity (Ho) and expected heterozygosity (He) of the 10 populations were 0.156 (RS)-0.533 (NN and WZ) and 0.186 (RS)-0.702 (QZ), respectively. This indicated that the genetic diversity of NN, RA, and WZ populations was relatively high, while the genetic diversity of HC, NP, and RS populations was low. The genetic diversity of the remaining four populations was at a medium level. AMOVA analysis showed that high genetic differentiation was found among the populations (Fst=0.313, P < 0.001), and the genetic variation within populations (69 %) was greater than among populations (31 %). The genetic structure results revealed that all populations could be divided into two genetic clusters, which was confirmed by the UPGMA tree constructed based on Nei’s unbiased genetic distance and PCoA analysis. These findings provide important genetic information for C. chinensis and a theoretical basis for future protection and selective breeding between different geographical populations.
ISSN:2352-5134