ArticleBiochemical genetics2021
Genetic Diversity and Population Structure of Gynaephora qinghaiensis in Yushu Prefecture, Qinghai Province Based on the Mitochondrial COI Gene.
Article in Biochemical genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Gene Expression ofInternational journal of molecular sciences · 2026Article
- Article
- Comparative Analysis of Transcriptome Data of Wings from Different Developmental Stages of theInternational journal of molecular sciences · 2025Article
- Genome assembly of the grassland caterpillar Gynaephora qinghaiensis.Scientific data · 2025Article
- Article
- Population Structure and Genetic Diversity of the Pepper Weevil (Coleoptera: Curculionidae) Using the COI Barcoding Region.Journal of insect science (Online) · 2022Article
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8 authors.
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Abstract
Gynaephora qinghaiensis (Lepidoptera: Lymantriidae: Gynaephora), a serious economic pest in alpine meadows, is mainly distributed in Yushu prefecture, Qinghai province, China. In this study, we aimed to investigate the genetic diversity and population structure of G. qinghaiensis through analyzing the sequence of 194 mitochondrial cytochrome oxidase subunit (COI) genes (658 bp in length) identified from 10 geographic populations located in three different countries, including Zhiduo, Zaduo, and Chengduo, of Yushu prefecture. Eleven haplotypes were identified from all populations of G. qinghaiensis with high levels of haplotype diversity (0.78500) and low levels of nucleotide diversity (0.00511). High levels of genetic differentiation and low levels of gene flow were also detected among the populations of G. qinghaiensis. Analysis of molecular variance (AMOVA) showed that 90.13% of the variation was attributed to distribution among groups (Chengduo, Zhiduo, and Zaduo), and 5.22% and 4.65% were, respectively, attributed to distribution among populations, within group, and within populations. The result of mantel test showed a highly significant positive correlation (P < 0.01) between F
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