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首页> 外文期刊>ICES Journal of Marine Science >Integrated analyses of SNP-genotype and environmental data in a continuously distributed snapper species (Lutjanus johnii, Bloch, 1792) reveals a mosaic of populations and a challenge for sustainable management
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Integrated analyses of SNP-genotype and environmental data in a continuously distributed snapper species (Lutjanus johnii, Bloch, 1792) reveals a mosaic of populations and a challenge for sustainable management

机译:在连续分布的鲷鱼种类(Lutjanus Johnii,Blochi,1792)中综合分析SNP-基因型和环境数据(Lutjanus Johnii,1792)揭示了人口马赛克和可持续管理的挑战

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摘要

Understanding population structure is important for predicting the outcomes of anthropogenic development, harvest, and environmental change on the abundance of fisheries species. Logically, the use of several data sources is best for delineating population structure, but combining across data types adds extra challenges as results can be incongruent. Here, genetic and environmental markers were used to test hypotheses about population structure in a collection of 523 tropical inshore finfish (Lutjanus johnii) across northern Australia from.. locations. Redundancy analyses (RDA) were used to statistically test for correlations among data sources providing a basis for reconciliation and insights into ecological and evolutionary processes. Genomic data (10349 SNP loci) revealed low, but significant genetic divergence (max F-ST 0.0402) between 16 locations. A total of 12 putative contiguous biological stocks were proposed whose distributions were correlated with IMCRA bioregions but not to existing regions used formanagement of the fishery. RDA showed a significant correlation between environmental markers (otolith chemistry and parasite abundances) and SNP genotype in two of three region-wide analyses supporting the proposed stock structure, and suggesting that L. johnii may be locally adapted to the heterogeneous environment. These findings are significant for the conservation of the commercially and recreationally important L. johnii and can be used to guide future fisheries management actions.
机译:了解人口结构对于预测渔业物种丰富的人为发展,收获和环境变化是重要的。在逻辑上,使用若干数据源最适合划定群体结构,但在数据类型中组合相组合增加了额外的挑战,因为结果可以是不一致的。在这里,遗传和环境标志物用于从澳大利亚北部的523个热带腹股沟(Lutjanus Johnii)的收集中测试关于人口结构的假设。冗余分析(RDA)用于统计测试数据来源之间的相关性,为生态和进化过程提供了对帐和洞察的基础。基因组数据(10349 SNP基因座)显示出16个位置之间的低但显着的遗传分歧(MAX F-ST 0.0402)。提出了共有12个推定的典型生物股,其分布与IMCRA生物相关,但不是现有地区使用的渔业的异物。 RDA在支持所提出的股票结构的三种区域范围内的两个区域分析中显示出环境标志物(Otolith化学和寄生虫丰度)和SNP基因型之间的显着相关性,并表明L. Johnii可以在本地适应异质环境。这些发现对于保护商业和娱乐重要的L. Johnii来说很重要,并且可用于引导未来的渔业管理行动。

著录项

  • 来源
    《ICES Journal of Marine Science》 |2021年第9期|3212-3229|共18页
  • 作者单位

    Charles Darwin Univ Res Inst Environm & Livelihoods Darwin NT 0810 Australia|Australian Inst Marine Sci Arafura Timor Res Facil North Australia Marine Res Alliance Brinkin NT 0810 Australia;

    Univ Queensland Sch Biomed Sci Mol Fisheries Lab St Lucia Qld 4072 Australia;

    Charles Darwin Univ Res Inst Environm & Livelihoods Darwin NT 0810 Australia|Australian Inst Marine Sci Arafura Timor Res Facil North Australia Marine Res Alliance Brinkin NT 0810 Australia;

    Charles Darwin Univ Res Inst Environm & Livelihoods Darwin NT 0810 Australia|La Trobe Univ Ctr Freshwater Ecosyst Wodonga Vic 3690 Australia;

    Northern Terr Govt Northern Terr Dept Primary Ind & Fisheries GPO Box 3000 Berrimah NT 0828 Australia|Northern Terr Govt Northern Terr Dept Primary Ind & Fisheries GPO Box 3000 Darwin NT 0801 Australia;

    Northern Terr Govt Northern Terr Dept Primary Ind & Fisheries GPO Box 3000 Berrimah NT 0828 Australia|Northern Terr Govt Northern Terr Dept Primary Ind & Fisheries GPO Box 3000 Darwin NT 0801 Australia;

    Natl Inst Water & Atmospher Res Nelson 7010 New Zealand|James Cook Univ Ctr Sustainable Trop Fisheries & Aquaculture Douglas Qld 4814 Australia;

    Govt Western Australian Fisheries & Marine Res La Dept Primary Ind & Reg Dev POB 20 North Beach WA 6920 Australia;

    Govt Western Australian Fisheries & Marine Res La Dept Primary Ind & Reg Dev POB 20 North Beach WA 6920 Australia;

    Univ Queensland Sch Biomed Sci Mol Fisheries Lab St Lucia Qld 4072 Australia;

    Univ Queensland Sch Biomed Sci Mol Fisheries Lab St Lucia Qld 4072 Australia|CSIRO Australian Natl Fish Collect Natl Res Collect Hobart AS 77000 Australia;

    Univ Queensland Sch Biomed Sci Mol Fisheries Lab St Lucia Qld 4072 Australia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    fisheries management; IMCRA bioregions; microsatellite loci; otolith chemistry; parasite abundance;

    机译:渔业管理;IMCRA生物;微卫星基因座;奥罗斯化学;寄生石丰富;

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