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SSR 和 SNP 标记在推断常见真菌蜜环菌种群遗传结构中的比较评估。

Comparative assessment of SSR and SNP markers for inferring the population genetic structure of the common fungus Armillaria cepistipes.

机构信息

Biodiversity and Conservation Biology, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.

UMR Biodiversité, Gènes et Ecosystèmes, INRA, University of Bordeaux, Cestas, France.

出版信息

Heredity (Edinb). 2017 Nov;119(5):371-380. doi: 10.1038/hdy.2017.48. Epub 2017 Aug 16.

Abstract

During the last years, simple sequence repeats (SSRs, also known as microsatellites) and single-nucleotide polymorphisms (SNPs) have become the most popular molecular markers for describing neutral genetic variation in populations of a wide range of organisms. However, only a limited number of studies has focused on comparing the performance of these two types of markers for describing the underlying genetic structure of wild populations. Moreover, none of these studies targeted fungi, the group of organisms with one of the most complex reproductive strategies. We evaluated the utility of SSRs and SNPs for inferring the neutral genetic structure of Armillaria cepistipes (basidiomycetes) at different spatial scales. For that, 407 samples were collected across a small (150 km) area in the Ukrainian Carpathians and a large (41 000 km) area in the Swiss Alps. All isolates were analyzed at 17 SSR loci distributed throughout the whole genome and at 24 SNP loci located in different single-copy conserved genes. The two markers showed different patterns of structure within the two spatial scales studied. The multi-allelic SSR markers seemed to be best suited for detecting genetic structure in indigenous fungal populations at a rather small spatial scale (radius of 50-100 km). The pattern observed at SNP markers rather reflected ancient divergence of distant (1000 km) populations that in addition are separated by mountain ranges. Despite these differences, both marker types were suitable for detecting the weak genetic structure of the two A. cepistipes populations investigated.

摘要

在过去的几年中,简单序列重复(SSRs,也称为微卫星)和单核苷酸多态性(SNPs)已成为描述广泛生物种群中性遗传变异的最流行的分子标记。然而,只有少数研究集中于比较这两种标记类型在描述野生种群潜在遗传结构方面的性能。此外,这些研究没有一个针对真菌,即具有最复杂繁殖策略的生物群体。我们评估了 SSRs 和 SNPs 用于推断 Armillaria cepistipes(担子菌)在不同空间尺度下中性遗传结构的有效性。为此,我们在乌克兰喀尔巴阡山脉的一个小(150km)区域和瑞士阿尔卑斯山的一个大(41000km)区域采集了 407 个样本。所有分离株均在分布于整个基因组的 17 个 SSR 基因座和位于不同单拷贝保守基因的 24 个 SNP 基因座上进行了分析。这两种标记在研究的两个空间尺度内显示出不同的结构模式。多等位 SSR 标记似乎最适合在较小的空间尺度(50-100km 半径)内检测土著真菌种群的遗传结构。SNP 标记观察到的模式反映了距离较远(1000km)的种群的古老分化,此外这些种群还被山脉隔开。尽管存在这些差异,但这两种标记类型都适合检测两个 A. cepistipes 种群的微弱遗传结构。

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本文引用的文献

2
ESTIMATING F-STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTURE.
Evolution. 1984 Nov;38(6):1358-1370. doi: 10.1111/j.1558-5646.1984.tb05657.x.
5
The frequency of sex in fungi.
Philos Trans R Soc Lond B Biol Sci. 2016 Oct 19;371(1706). doi: 10.1098/rstb.2015.0540.
6
A comparative assessment of SNP and microsatellite markers for assigning parentage in a socially monogamous bird.
Mol Ecol Resour. 2017 Mar;17(2):183-193. doi: 10.1111/1755-0998.12589. Epub 2016 Aug 29.
7
Does GST underestimate genetic differentiation from marker data?
Mol Ecol. 2015 Jul;24(14):3546-58. doi: 10.1111/mec.13204. Epub 2015 May 14.
9
Population genetics of the wood-rotting basidiomycete Armillaria cepistipes in a fragmented forest landscape.
Fungal Biol. 2012 Sep;116(9):985-94. doi: 10.1016/j.funbio.2012.07.002. Epub 2012 Jul 14.
10
Unipro UGENE: a unified bioinformatics toolkit.
Bioinformatics. 2012 Apr 15;28(8):1166-7. doi: 10.1093/bioinformatics/bts091. Epub 2012 Feb 24.

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