Disentangling river and swamp buffalo genetic diversity: initial insights from the 1000 Buffalo Genomes Project.

IF 11.8 2区 生物学 Q1 MULTIDISCIPLINARY SCIENCES
Paulene S Pineda, Ester B Flores, Lilian P Villamor, Connie Joyce M Parac, Mehar S Khatkar, Hien To Thu, Timothy P L Smith, Benjamin D Rosen, Paolo Ajmone-Marsan, Licia Colli, John L Williams, Wai Yee Low
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引用次数: 0

Abstract

More people in the world depend on water buffalo for their livelihoods than on any other domesticated animals, but its genetics is still not extensively explored. The 1000 Buffalo Genomes Project (1000BGP) provides genetic resources for global buffalo population study and tools to breed more sustainable and productive buffaloes. Here we report the most contiguous swamp buffalo genome assembly (PCC_UOA_SB_1v2) with substantial resolution of telomeric and centromeric repeats, ∼4-fold more contiguous than the existing reference river buffalo assembly and exceeding a recently published male swamp buffalo genome. This assembly was used along with the current reference to align 140 water buffalo short-read sequences and produce a public genetic resource with an average of ∼41 million single nucleotide polymorphisms per swamp and river buffalo genome. Comparison of the swamp and river buffalo sequences showed ∼1.5% genetic differences, and estimated divergence time occurred 3.1 million years ago (95% CI, 2.6-4.9). The open science model employed in the 1000BGP provides a key genomic resource and tools for a species with global economic relevance.

区分河流水牛和沼泽水牛的遗传多样性:1000 头水牛基因组项目的初步见解。
世界上依赖水牛为生的人比依赖其他任何驯养动物的人都要多,但对水牛遗传学的研究却仍然不够广泛。水牛基因组千人计划(1000BGP)为全球水牛种群研究提供了遗传资源,也为培育更可持续、更高产的水牛提供了工具。在这里,我们报告了最连续的沼泽水牛基因组组装(PCC_UOA_SB_1v2),其端粒和中心粒重复序列的分辨率很高,比现有的参考河水牛基因组组装的连续性高出 4 倍,超过了最近发表的雄性沼泽水牛基因组。该序列集与现有参考文献一起用于比对 140 个水牛短读序列,并产生了一个公共遗传资源,其中每个沼泽水牛和河流水牛基因组平均有 4100 万个单核苷酸多态性。沼泽水牛和河流水牛序列的比较显示遗传差异为1.5%,估计分化时间为310万年前(95% CI,2.6-4.9)。1000BGP 采用的开放科学模式为这一具有全球经济意义的物种提供了重要的基因组资源和工具。
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来源期刊
GigaScience
GigaScience MULTIDISCIPLINARY SCIENCES-
CiteScore
15.50
自引率
1.10%
发文量
119
审稿时长
1 weeks
期刊介绍: GigaScience seeks to transform data dissemination and utilization in the life and biomedical sciences. As an online open-access open-data journal, it specializes in publishing "big-data" studies encompassing various fields. Its scope includes not only "omic" type data and the fields of high-throughput biology currently serviced by large public repositories, but also the growing range of more difficult-to-access data, such as imaging, neuroscience, ecology, cohort data, systems biology and other new types of large-scale shareable data.
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