Department of Veterinary Pathobiology, Texas A&M University, College Station, TX, 77845, USA.
Department of Biomedical Engineering, Center for Computational Biology, Johns Hopkins University, Baltimore, MD, 21205, USA.
Anim Genet. 2021 Jun;52(3):263-274. doi: 10.1111/age.13060. Epub 2021 Mar 29.
Genomic tools have improved the ability to manage bison populations and enhanced efforts to conserve this iconic species. These tools have been particularly useful for detecting introgression of cattle genome within bison herds but are limited by the need to use the cattle genome as a surrogate for mapping reads. This complicates efforts to distinguish the species of origin of chromosomal segments in individual bison at the genomic level. An assembly (Bison_UMD1.0) based on 75X genome coverage by Illumina and 454 reads was generated using the MaSuRCA assembler, generating a 2.81 Gigbases de novo reference genome from American bison. Comparison of bison and domestic cattle references identified 28 443 364 single nucleotide variants and 2 627 645 insertions/deletions distinguishing the species. Sequence alignment of an additional 12 modern bison samples and two historic bison samples to domestic cattle and bison references provides a dataset of genomic variants defining the different species and within-species variation. This first annotated draft assembly represents a resource for the management and conservation of bison, as well as a means to study the effects on the genome of interspecies hybridization. The comparisons of historical bison sequences with the new bison reference identified genomic differences between modern and pre-population bottleneck bison. The results support the application of genomics to enhance future research on disease, the establishment of satellite conservation herds and insight into bison and cattle speciation. The first genome assembly for bison and dataset provides a foundation that can be built upon as genetic technologies improve over the years.
基因组工具提高了管理野牛种群的能力,并增强了保护这一标志性物种的努力。这些工具对于检测野牛群中牛基因组的渗入特别有用,但受到需要使用牛基因组作为替代来映射读取的限制。这使得在基因组水平上区分个体野牛染色体片段的起源物种变得复杂。使用 MaSuRCA 组装器生成了基于 Illumina 75X 基因组覆盖度和 454 读取的组装(Bison_UMD1.0),从美洲野牛中生成了一个 2.81 吉字节的从头参考基因组。野牛和家牛参考序列的比较鉴定了 28443364 个单核苷酸变体和 2627645 个插入/缺失,区分了物种。将另外 12 个现代野牛样本和 2 个历史野牛样本与家牛和野牛参考序列进行序列比对,提供了一个定义不同物种和种内变异的基因组变异数据集。这个首次注释的草案组装代表了野牛管理和保护的资源,也是研究种间杂交对基因组影响的一种手段。历史野牛序列与新野牛参考序列的比较确定了现代和种群瓶颈前野牛之间的基因组差异。结果支持应用基因组学来增强未来对疾病的研究、建立卫星保护牛群以及深入了解野牛和牛种的形成。野牛的第一个基因组组装和数据集为遗传技术随着时间的推移而改进提供了一个可以在此基础上建立的基础。