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利用 chCADD 优先考虑鸡基因组中保守非编码元件中的序列变异。

Prioritizing sequence variants in conserved non-coding elements in the chicken genome using chCADD.

机构信息

Bioinformatics Group, Wageningen University & Research, 6708 PB, Wageningen, The Netherlands.

Delft Bioinformatics Lab, University of Technology Delft, 2600 GA, Delft, The Netherlands.

出版信息

PLoS Genet. 2020 Sep 23;16(9):e1009027. doi: 10.1371/journal.pgen.1009027. eCollection 2020 Sep.

Abstract

The availability of genomes for many species has advanced our understanding of the non-protein-coding fraction of the genome. Comparative genomics has proven itself to be an invaluable approach for the systematic, genome-wide identification of conserved non-protein-coding elements (CNEs). However, for many non-mammalian model species, including chicken, our capability to interpret the functional importance of variants overlapping CNEs has been limited by current genomic annotations, which rely on a single information type (e.g. conservation). We here studied CNEs in chicken using a combination of population genomics and comparative genomics. To investigate the functional importance of variants found in CNEs we develop a ch(icken) Combined Annotation-Dependent Depletion (chCADD) model, a variant effect prediction tool first introduced for humans and later on for mouse and pig. We show that 73 Mb of the chicken genome has been conserved across more than 280 million years of vertebrate evolution. The vast majority of the conserved elements are in non-protein-coding regions, which display SNP densities and allele frequency distributions characteristic of genomic regions constrained by purifying selection. By annotating SNPs with the chCADD score we are able to pinpoint specific subregions of the CNEs to be of higher functional importance, as supported by SNPs found in these subregions are associated with known disease genes in humans, mice, and rats. Taken together, our findings indicate that CNEs harbor variants of functional significance that should be object of further investigation along with protein-coding mutations. We therefore anticipate chCADD to be of great use to the scientific community and breeding companies in future functional studies in chicken.

摘要

许多物种的基因组序列的可用性提高了我们对基因组中非蛋白编码部分的认识。比较基因组学已被证明是一种非常有价值的方法,可用于系统地、全基因组识别保守的非蛋白编码元件(CNEs)。然而,对于许多非哺乳动物模式物种,包括鸡,我们解释重叠 CNEs 的变体的功能重要性的能力受到当前基因组注释的限制,这些注释依赖于单一的信息类型(例如保守性)。我们在这里使用群体基因组学和比较基因组学相结合的方法研究鸡的 CNEs。为了研究在 CNEs 中发现的变体的功能重要性,我们开发了一种鸡(chicken)综合注释依赖性耗竭(chicken Combined Annotation-Dependent Depletion,chCADD)模型,这是一种变体效应预测工具,最初是为人类开发的,后来又为老鼠和猪开发。我们表明,超过 2.8 亿年的脊椎动物进化过程中,有 73Mb 的鸡基因组得到了保守。绝大多数保守元件位于非蛋白编码区域,这些区域的 SNP 密度和等位基因频率分布特征与受纯化选择约束的基因组区域一致。通过使用 chCADD 评分对 SNP 进行注释,我们能够确定 CNEs 的特定子区域具有更高的功能重要性,因为在这些子区域中发现的 SNP 与人类、老鼠和大鼠中的已知疾病基因有关。总之,我们的研究结果表明,CNEs 携带具有功能意义的变体,这些变体应该与蛋白编码突变一起成为进一步研究的对象。因此,我们预计 chCADD 将在未来鸡的功能研究中对科学界和育种公司非常有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6cb/7535126/0acf20e9294a/pgen.1009027.g001.jpg

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