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通过混合下一代测序确定的单核苷酸多态性(SNP)等位基因频率在非模式植物物种自然种群中的验证。

Validation of SNP allele frequencies determined by pooled next-generation sequencing in natural populations of a non-model plant species.

作者信息

Rellstab Christian, Zoller Stefan, Tedder Andrew, Gugerli Felix, Fischer Martin C

机构信息

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

出版信息

PLoS One. 2013 Nov 7;8(11):e80422. doi: 10.1371/journal.pone.0080422. eCollection 2013.

Abstract

Sequencing of pooled samples (Pool-Seq) using next-generation sequencing technologies has become increasingly popular, because it represents a rapid and cost-effective method to determine allele frequencies for single nucleotide polymorphisms (SNPs) in population pools. Validation of allele frequencies determined by Pool-Seq has been attempted using an individual genotyping approach, but these studies tend to use samples from existing model organism databases or DNA stores, and do not validate a realistic setup for sampling natural populations. Here we used pyrosequencing to validate allele frequencies determined by Pool-Seq in three natural populations of Arabidopsis halleri (Brassicaceae). The allele frequency estimates of the pooled population samples (consisting of 20 individual plant DNA samples) were determined after mapping Illumina reads to (i) the publicly available, high-quality reference genome of a closely related species (Arabidopsis thaliana) and (ii) our own de novo draft genome assembly of A. halleri. We then pyrosequenced nine selected SNPs using the same individuals from each population, resulting in a total of 540 samples. Our results show a highly significant and accurate relationship between pooled and individually determined allele frequencies, irrespective of the reference genome used. Allele frequencies differed on average by less than 4%. There was no tendency that either the Pool-Seq or the individual-based approach resulted in higher or lower estimates of allele frequencies. Moreover, the rather high coverage in the mapping to the two reference genomes, ranging from 55 to 284x, had no significant effect on the accuracy of the Pool-Seq. A resampling analysis showed that only very low coverage values (below 10-20x) would substantially reduce the precision of the method. We therefore conclude that a pooled re-sequencing approach is well suited for analyses of genetic variation in natural populations.

摘要

使用新一代测序技术对混合样本进行测序(Pool-Seq)已变得越来越流行,因为它是一种快速且经济高效的方法,可用于确定群体样本中单核苷酸多态性(SNP)的等位基因频率。人们曾尝试使用个体基因分型方法来验证通过Pool-Seq确定的等位基因频率,但这些研究往往使用来自现有模式生物数据库或DNA库的样本,并未针对自然群体采样的实际设置进行验证。在此,我们使用焦磷酸测序法来验证通过Pool-Seq在三种自然状态的南芥(十字花科)群体中所确定的等位基因频率。在将Illumina读数映射到(i)密切相关物种(拟南芥)公开可用的高质量参考基因组和(ii)我们自己对南芥的从头组装基因组草图后,确定了混合群体样本(由20个个体植物DNA样本组成)的等位基因频率估计值。然后,我们使用每个群体中的相同个体对焦磷酸测序九个选定的SNP,共得到540个样本。我们的结果表明,无论使用何种参考基因组,混合样本和个体测定的等位基因频率之间都存在高度显著且准确的关系。等位基因频率平均差异不到4%。无论是Pool-Seq还是基于个体的方法,都没有导致等位基因频率估计值偏高或偏低的趋势。此外,映射到两个参考基因组的覆盖率相当高,范围从55到284倍,对Pool-Seq的准确性没有显著影响。重采样分析表明,只有非常低的覆盖率值(低于10 - 20倍)才会大幅降低该方法的精度。因此,我们得出结论,混合重测序方法非常适合用于分析自然群体中的遗传变异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed20/3820589/04055357b015/pone.0080422.g001.jpg

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