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利用下一代测序技术鉴定法国奶牛和肉牛品种的拷贝数变异

Identification of copy number variation in French dairy and beef breeds using next-generation sequencing.

作者信息

Letaief Rabia, Rebours Emmanuelle, Grohs Cécile, Meersseman Cédric, Fritz Sébastien, Trouilh Lidwine, Esquerré Diane, Barbieri Johanna, Klopp Christophe, Philippe Romain, Blanquet Véronique, Boichard Didier, Rocha Dominique, Boussaha Mekki

机构信息

GABI, INRA, AgroParisTech, Université Paris-Saclay, 78352, Jouy-en-Josas, France.

GMA, INRA, Université de Limoges, UMR1061, Unité Génétique Moléculaire Animale, 123 avenue Albert Thomas, 87060, Limoges Cedex, France.

出版信息

Genet Sel Evol. 2017 Oct 24;49(1):77. doi: 10.1186/s12711-017-0352-z.

Abstract

BACKGROUND

Copy number variations (CNV) are known to play a major role in genetic variability and disease pathogenesis in several species including cattle. In this study, we report the identification and characterization of CNV in eight French beef and dairy breeds using whole-genome sequence data from 200 animals. Bioinformatics analyses to search for CNV were carried out using four different but complementary tools and we validated a subset of the CNV by both in silico and experimental approaches.

RESULTS

We report the identification and localization of 4178 putative deletion-only, duplication-only and CNV regions, which cover 6% of the bovine autosomal genome; they were validated by two in silico approaches and/or experimentally validated using array-based comparative genomic hybridization and single nucleotide polymorphism genotyping arrays. The size of these variants ranged from 334 bp to 7.7 Mb, with an average size of ~ 54 kb. Of these 4178 variants, 3940 were deletions, 67 were duplications and 171 corresponded to both deletions and duplications, which were defined as potential CNV regions. Gene content analysis revealed that, among these variants, 1100 deletions and duplications encompassed 1803 known genes, which affect a wide spectrum of molecular functions, and 1095 overlapped with known QTL regions.

CONCLUSIONS

Our study is a large-scale survey of CNV in eight French dairy and beef breeds. These CNV will be useful to study the link between genetic variability and economically important traits, and to improve our knowledge on the genomic architecture of cattle.

摘要

背景

已知拷贝数变异(CNV)在包括牛在内的多个物种的遗传变异性和疾病发病机制中起主要作用。在本研究中,我们报告了利用200头动物的全基因组序列数据对8个法国肉牛和奶牛品种中的CNV进行的鉴定和特征分析。使用四种不同但互补的工具进行了搜索CNV的生物信息学分析,并且我们通过计算机模拟和实验方法对一部分CNV进行了验证。

结果

我们报告了4178个推定的仅缺失、仅重复和CNV区域的鉴定和定位,这些区域覆盖了牛常染色体基因组的6%;它们通过两种计算机模拟方法得到验证和/或使用基于芯片的比较基因组杂交和单核苷酸多态性基因分型芯片进行了实验验证。这些变异的大小范围从334 bp到7.7 Mb,平均大小约为54 kb。在这4178个变异中,3940个是缺失,67个是重复,171个既包含缺失也包含重复,这些被定义为潜在的CNV区域。基因含量分析表明,在这些变异中,1100个缺失和重复包含1803个已知基因,这些基因影响广泛的分子功能,并且1095个与已知的QTL区域重叠。

结论

我们的研究是对8个法国奶牛和肉牛品种中CNV的大规模调查。这些CNV将有助于研究遗传变异性与经济重要性状之间的联系,并增进我们对牛基因组结构的了解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9d6/5655909/b93052390d66/12711_2017_352_Fig1_HTML.jpg

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