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高保护关注物种的种间遗传多样性实测值与预测值之间差距的综合分析——以极度濒危的欧洲貂为例

A Meta-Analytical Investigation of the Gap between Measured and Predicted Inter-Population Genetic Diversity in Species of High Conservation Concern-The Case of the Critically Endangered European Mink L., 1761.

机构信息

Institute of Marine and Environmental Sciences, University of Szczecin, Adama Mickiewicza 16 St., 70-383 Szczecin, Poland.

Polish Society for Conservation Genetics LUTREOLA, Maciejkowa 21 St., 71-784 Szczecin, Poland.

出版信息

Genes (Basel). 2021 Sep 29;12(10):1555. doi: 10.3390/genes12101555.

DOI:10.3390/genes12101555
PMID:34680950
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8535868/
Abstract

Although properly designed sampling in population genetic studies is of key importance for planning evidence-informed conservation measures, sampling strategies are rarely discussed. This is the case for the European mink , a critically endangered species. In order to address this problem, a meta-analysis aiming to examine the completeness of mtDNA haplotype sampling in recent studies of inter-population genetic diversity was conducted. The analysis was performed using the sample-size-based rarefaction and extrapolation sampling curve method for three populations-the Northeastern (Russia, Belarus and Estonia), the Western (France and Spain), and the Southeastern (Romania). The extrapolated values of the Shannon-Wiener index were determined, assuming full sample coverage. The gap between the measured and predicted inter-population genetic diversity was estimated, indicating that the identified level of sample coverage was the lowest for the NE population (87%), followed by the SE population (96%) and the W population (99%). A guide for sampling design and accounting for sampling uncertainty in future population genetic studies on European mink is provided. The relatively low sample coverage for the Russian population clearly indicates an urgent need to take conservation measures for European mink in this country.

摘要

尽管在群体遗传学研究中进行适当的抽样对于规划基于证据的保护措施至关重要,但抽样策略很少被讨论。这就是极度濒危物种欧洲貂的情况。为了解决这个问题,进行了一项荟萃分析,旨在检查最近关于种群间遗传多样性的研究中 mtDNA 单倍型抽样的完整性。该分析使用基于样本量的稀疏和外推抽样曲线方法对三个种群进行了分析——东北(俄罗斯、白俄罗斯和爱沙尼亚)、西部(法国和西班牙)和东南(罗马尼亚)。根据完整的样本覆盖,确定了香农-威纳指数的外推值。测量的和预测的种群间遗传多样性之间的差距表明,东北种群的样本覆盖率最低(87%),其次是东南种群(96%)和西部种群(99%)。为未来的欧洲貂种群遗传学研究提供了抽样设计和考虑抽样不确定性的指南。俄罗斯种群的样本覆盖率相对较低,这清楚地表明该国急需采取保护措施来保护欧洲貂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71fa/8535868/7c0e15347a4f/genes-12-01555-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71fa/8535868/9f52845b9edb/genes-12-01555-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71fa/8535868/7c0e15347a4f/genes-12-01555-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71fa/8535868/9f52845b9edb/genes-12-01555-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71fa/8535868/7c0e15347a4f/genes-12-01555-g002.jpg

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Commun Biol. 2021 Mar 9;4(1):315. doi: 10.1038/s42003-021-01834-7.
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Fifty Years of Research on European Mink L., 1761 Genetics: Where Are We Now in Studies on One of the Most Endangered Mammals?五十年来对欧洲貂 L.,1761 年遗传学的研究:作为最濒危的哺乳动物之一,我们现在对其研究进展到哪里了?
Genes (Basel). 2020 Nov 11;11(11):1332. doi: 10.3390/genes11111332.
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Shannon diversity index: a call to replace the original Shannon's formula with unbiased estimator in the population genetics studies.
香农多样性指数:呼吁在群体遗传学研究中用无偏估计量取代原始的香农公式。
PeerJ. 2020 Jun 29;8:e9391. doi: 10.7717/peerj.9391. eCollection 2020.
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Optimizing Sample Size for Population Genomic Study in a Global Invasive Lady Beetle, .优化全球入侵性瓢虫种群基因组研究的样本量
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Minimum sample sizes for population genomics: an empirical study from an Amazonian plant species.群体基因组学的最小样本量:来自亚马逊植物物种的实证研究。
Mol Ecol Resour. 2017 Nov;17(6):1136-1147. doi: 10.1111/1755-0998.12654. Epub 2017 Feb 10.
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Patterns of genetic variation in the endangered European mink (Mustela lutreola L., 1761).濒危欧洲水貂(Mustela lutreola L.,1761年)的遗传变异模式。
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Confidence intervals for population allele frequencies: the general case of sampling from a finite diploid population of any size.群体等位基因频率的置信区间:从任意大小的有限二倍体群体中抽样的一般情况。
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Sampling for microsatellite-based population genetic studies: 25 to 30 individuals per population is enough to accurately estimate allele frequencies.基于微卫星的种群遗传研究的抽样:每个种群 25 到 30 个个体足以准确估计等位基因频率。
PLoS One. 2012;7(9):e45170. doi: 10.1371/journal.pone.0045170. Epub 2012 Sep 12.
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Estimates of genetic differentiation measured by F(ST) do not necessarily require large sample sizes when using many SNP markers.当使用大量 SNP 标记时,通过 F(ST) 衡量的遗传分化估计并不一定需要大的样本量。
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