GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326, Castanet-Tolosan, France.
GenESI, INRAE, F-17700, Surgères, France.
BMC Res Notes. 2022 Aug 19;15(1):282. doi: 10.1186/s13104-022-06162-5.
Causal mutations for major genes that underlie a broad range of morphological traits are often located within exons of genes that then affect protein functions. Non-model organism genetic studies are not easy to perform due to the lack of genome-wide molecular tools such as SNP genotyping array. Genotyping-By-Sequencing (GBS) methods offer an alternative. Consequently, we used this approach that is focused on the exome to target and identify major genes in rabbit populations. Data description We used a heterologous enrichment method before sequencing, allowing us to capture the rabbit exome using the marketed human panel since mammal protein coding genes are well conserved across the phylogenic tree of species. This targeted strategy was performed on 52 French rabbits from 5 different French strains (Californian, New-Zealand, Castor, Chinchilla and Laghmere). We generated 3.4 billion sequencing reads and approximately 29-140 million of reads per DNA sample. The expected exome coverage per sample ranged between 118 and 566X. The present dataset could be useful for the scientific community working on rabbit species in order to (i) improve the annotation of the rabbit reference genome Oryctolagus cuniculus (OryCun2.0), (ii) enrich the characterization of polymorphisms segregating in rabbits and (iii) evaluate the genetic biodiversity in different rabbit strains. Raw sequences were deposited in the European Nucleotide Archive (ENA) at the European Molecular Biology Laboratory- European Bioinformatics Institute (EMBL-EBI) data portal under bioproject accession number PRJEB37917.
因果突变主要基因,为基础的广泛的形态特征通常位于外显子的基因,然后影响蛋白质的功能。非模式生物遗传研究不容易进行,由于缺乏基因组范围内的分子工具,如 SNP 基因分型数组。测序的基因分型(GBS)方法提供了一种替代方法。因此,我们使用了这种方法,重点是外显子,以确定兔群体中的主要基因。
数据描述
我们使用了一个异源富集方法测序前,让我们使用的市场上的人类面板来捕获兔外显子,因为哺乳动物蛋白编码基因是很好的保守物种的进化树。这种有针对性的策略是对 52 只来自 5 个不同法国品系(加利福尼亚、新西兰、海狸、Chinchilla 和 Laghmere)的法国兔进行的。我们生成了 34 亿个测序reads,每个 DNA 样本约 2.9-1.4 亿个reads。每个样本的预期外显子覆盖率在 118 到 566 倍之间。本数据集可用于研究兔种的科学界,以(i)提高兔参考基因组(Oryctolagus cuniculus,OryCun2.0)的注释,(ii)丰富兔中分离的多态性的特征,(iii)评估不同兔品系的遗传多样性。原始序列被存入欧洲核苷酸档案(ENA)在欧洲分子生物学实验室 - 欧洲生物信息学研究所(EMBL-EBI)数据门户下的生物项目访问号 PRJEB37917。