基于SSR分子标记的辽宁地区甜菜夜蛾遗传变异与种群遗传结构
Genetic variation and population genetic structure of the beet armyworm, Spodoptera exigua, (Lepidoptera: Noctuidae), in Liaoning, based on microsatellite marker variation
王明明 王思琦 孟 威 姜 策 江幸福 付晓伟 王小奇 王兴亚
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DOI：10.7679/j.issn.2095-1353.2021.115
作者单位：沈阳农业大学植物保护学院，沈阳 110866；辽宁省农业发展服务中心，沈阳 110034； 中国农业科学院植物保护研究所，北京 100193；河南科技学院资源与环境学院，新乡 453003
中文关键词：甜菜夜蛾；遗传变异；遗传结构；迁飞；微卫星标记
英文关键词：Spodoptera exigua; genetic variation; population genetic structure; migration; microsatellite marker
中文摘要：
【目的】 甜菜夜蛾Spodoptera exigua是我国重要的多食性害虫，已在辽宁等东北农作物产区造成了严重的经济损失。为明确辽宁地区甜菜夜蛾种群遗传变异与遗传分化，阐明其不同地理种群间的种群遗传结构。【方法】 基于8对微卫星（SSR）引物对采自辽宁6县（市）的160头甜菜夜蛾样品进行测序与分析，利用GenAlEx 6.503、GENEPOP 4.0.1及STRUCTURE 2.3.4软件分析其种群遗传变异与种群谱系遗传结构。【结果】 辽宁不同地区甜菜夜蛾遗传多样性较高（Ho=0.549，Ne=3.431，He=0.608），其中，沈阳（SY）种群遗传多样性最高（Ho=0.563，Ne=4.562，He=0.680）。不同地理种群间甜菜夜蛾存在较低遗传分化（global FST=0.119，P<0.05）。朝阳凌源（LY）与大连（DAL）种群间的遗传分化程度最高（FST=0.210）。UPGMA聚类树、PCoA及STRCTURE分析表明，葫芦岛（HLD）和大连（DAL）种群聚为1支；台安（TIA）、阜新（FX）、凌源（LY）及沈阳（SY）种群聚为另1支。此外，AMOVA分析表明，甜菜夜蛾遗传变异主要来自种群内（78.0%），种群间变异水平较低（22.0%）。【结论】 辽宁不同地区甜菜夜蛾具有较高遗传变异与较低种群遗传分化水平，本研究为阐明该地区甜菜夜蛾虫源关系，并对甜菜夜蛾化学防治具有指导意义。
英文摘要：
[Objectives] To investigate the genetic diversity and
population genetic structure of the beet armyworm, Spodoptera exigua (Lepidoptera: Noctuidae), an important polyphagous pest in China, that
causes serious economic losses in Liaoning province, Northeast China and other
crop-producing areas. [Methods] The genetic variation, genetic differentiation, gene flow and population
genetic structure of 160 S. exigua specimens from 6 geographic
populations in Liaoning province were investigated by analyzing the genetic
variation among nine microsatellite (SSR) loci with GeneAlex 6.51, GENEPOP
4.0.1 and STRUCTURE 2.3.4. [Results] Populations had a high overall level of genetic diversity (Na=6.104, Ho=0.549, Ne=3.431, He=0.608); the population with the
most diversity was the Shenyang (SY) population (Na=8.125, Ho=0.563, Ne=4.562, He=0.680). There was
a low level of genetic differentiation among populations; the greatest genetic
differentiation (FST=0.210) was between the Lingyuan (LY) and
Dalian (DAL) populations. UPGMA, PCoA and
STRCTURE analysis indicate that S.
exigua populations in Liaoning can be divided into two groups; the first
comprised of the Huludao (HLD) and Dalian (DL) populations and the second of
the Tai'an (TIA), Fuxin (FX), Lingyuan (LY) and Shenyang (SY) populations. AMOVA
analysis indicates that most (78.0 %) genetic variation in S. exigua in
Liaoning was within populations and that inter-population variation was low
(22.0 %). [Conclusion] There is
relatively high genetic diversity and low level of genetic differentiation in
geographical populations of S. exigua in Liaoning province. These
findings help resolve the genetic structure of S. exigua in Liaoning and
thereby contribute to the development of better management strategies for this
pest.