似刺鳊鮈基因组中微卫星分布特征及群体遗传结构分析

Characterization of genomic microsatellite distribution and population genetic structure of Paracanthobrama guichenoti

  • 摘要: 为开发似刺鳊鮈 (Paracanthobrama guichenoti) 的共显性、多态微卫星标记,并对其自然群体开展遗传监测,以支持该物种的种质资源保护与可持续利用。本研究分析了似刺鳊鮈基因组中微卫星 (2~6个核苷酸重复) 的分布特征,筛选出多态性微卫星标记,对长江中、下游3个重要湖泊 (八里湖、军山湖和大官湖) 的似刺鳊鮈种群进行了遗传评估。结果显示,从基因组中共检测到771 961个完美型微卫星序列,二核苷酸重复微卫星最多 (67.3%),其次为四核苷酸重复 (22.5%);筛选的23个多态性微卫星标记,共检测到213个等位基因,多态信息含量 (PIC) 为0.661~0.919,均为高度多态标记 (PIC≥0.5),群体平均等位基因数 (No) 为5.913~8.565,观测杂合度 (Ho) 为0.448~0.819,PIC为0.579~0.786,3个群体均处于高度多态水平 (PIC>0.5),表明长江中下游湖区似刺鳊鮈群体具有较高的遗传多样性水平。分子方差分析 (AMOVA) 结果显示88.2%的遗传分化来源于群体内,11.8%的遗传变异来源于群体间,群体间具有中度遗传分化 (0.05<Fst=0.118<0.15),BL和JL群体间基因交流频繁 (Nm=5.985>4),两群体与DL群体的遗传分化达到中、高度水平 (0.05<Fst<0.25),推测江湖连通性引起的建群者效应差异是群体遗传多样性和遗传分化的关键。

     

    Abstract: To develop codominant and polymorphic microsatellite markers for Paracanthobrama guichenoti and to conduct genetic monitoring of its natural populations for the purpose of germplasm conservation and sustainable utilization, we characterized microsatellite sequences (2–6 nucleotide repeats) in the genome, screened polymorphic microsatellite markers, and assessed the genetic variation of three wild populations from Bali Lake (BL), Junshan Lake (JL), and Daguan Lake (DL) in the mid-lower Yangtze River basin. A total of 771,961 perfect microsatellite sequences were identified from P. guichenoti genome, with dinucleotide repeats being the most abundant (67.34%), followed by tetranucleotide repeats (22.45%). The 23 markers revealed a total of 213 alleles across the three populations. The polymorphism information content (PIC) per locus varied from 0.661 to 0.919, and all markers were highly polymorphic (PIC≥0.5). The values for the average number of alleles per population (No=5.913–8.565), observed heterozygosity (Ho=0.448–0.819), and PIC (PIC=0.579–0.786) revealed that all three populations were high polymorphic (PIC>0.5). These results suggest that P. guichenoti populations in the mid-lower Yangtze River lake region possess a relatively high level of genetic diversity. Analysis of molecular variance (AMOVA) indicates that 88.2% of genetic variation occurred within populations, while 11.8% occurred among populations. The genetic differentiation coefficient (Fst) among populations was 0.118, suggesting moderate genetic differentiation. Frequent gene flow (Nm) was observed between BL and JL populations (Nm=5.985>4), while the genetic differentiation (Fst) between these two populations and DL population reached a moderate to high level (0.05<Fst<0.25). It is hypothesized that differences in the founder effect, resulting from variations in river-lake connectivity, are the key factors influencing population genetic diversity and differentiation.

     

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