一个全面的水牛泛基因组揭示了与种群特异性选择特征相关的广泛结构变异。

IF 11.8 2区 生物学 Q1 MULTIDISCIPLINARY SCIENCES
Fazeela Arshad, Siddharth Jayaraman, Andrea Talenti, Rachel Owen, Muhammad Mohsin, Shahid Mansoor, Muhammad Asif, James Prendergast
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引用次数: 0

摘要

背景:水牛是许多低收入和中等收入国家的基础牲畜物种,但其基因组特征仍然存在重大差距-其两个亚种(沼泽和河流)的不同核型使其复杂化。这种基因组的复杂性使水牛成为使用图基因组学的一个特别好的候选者,它可以捕获线性参考方法所遗漏的变异。然而,这种方法对改善水牛的效用在很大程度上尚未得到探索。结果:我们提出了一个全面的泛基因组,整合了4个新生成的,高度连续的巴基斯坦河水牛组合和8个公开的来自两个亚种的组合。这使可获得的高质量河水牛基因组数量增加了一倍,并为该亚种提供了迄今为止最连续的片段。利用泛基因组分析全球711个样本的变异,我们发现了广泛的基因组多样性,包括参考基因组中缺失的数千个大型结构变异,跨越超过140 Mb的额外序列。我们通过在26个种群中识别与生产力和免疫反应相关的关键基因的选择性扫描相关的假定功能索引和结构变异,证明了这些数据的实用性。结论:该研究代表了图基因组学在水牛中的首次成功应用,并为整合组装如何改变水牛和其他具有复杂进化历史的物种的分析提供了有价值的见解。我们预计,这些组合,以及我们已经发布的泛基因组和假定的功能结构变异,将加速解锁水牛遗传潜力的努力,提高这一经济上重要物种的生产力和复原力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comprehensive water buffalo pangenome reveals extensive structural variation linked to population-specific signatures of selection.

Background: Water buffalo is a cornerstone livestock species in many low- and middle-income countries, yet major gaps persist in its genomic characterization-complicated by the divergent karyotypes of its two subspecies (swamp and river). Such genomic complexity makes water buffalo a particularly good candidate for the use of graph genomics, which can capture variation missed by linear reference approaches. However, the utility of this approach to improve water buffalo has been largely unexplored.

Results: We present a comprehensive pangenome that integrates 4 newly generated, highly contiguous assemblies of Pakistani river buffalo with 8 publicly available assemblies from both subspecies. This doubles the number of accessible high-quality river buffalo genomes and provides the most contiguous assemblies for the subspecies to date. Using the pangenome to assay variation across 711 global samples, we uncovered extensive genomic diversity, including thousands of large structural variants absent from the reference genome, spanning over 140 Mb of additional sequence. We demonstrate the utility of these data by identifying putative functional indels and structural variants linked to selective sweeps in key genes involved in productivity and immune response across 26 populations.

Conclusions: This study represents one of the first successful applications of graph genomics in water buffalo and offers valuable insights into how integrating assemblies can transform analyses of water buffalo and other species with complex evolutionary histories. We anticipate that these assemblies, as well as the pangenome and putative functional structural variants we have released, will accelerate efforts to unlock water buffalo's genetic potential, improving productivity and resilience in this economically important species.

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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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