Insights into trait-association of selection signatures and adaptive eQTL in indigenous African cattle.

IF 3.5 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY BMC Genomics Pub Date : 2024-10-19 DOI:10.1186/s12864-024-10852-8
Juliane Friedrich, Shuli Liu, Lingzhao Fang, James Prendergast, Pamela Wiener
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Abstract

Background: African cattle represent a unique resource of genetic diversity in response to adaptation to numerous environmental challenges. Characterising the genetic landscape of indigenous African cattle and identifying genomic regions and genes of functional importance can contribute to targeted breeding and tackle the loss of genetic diversity. However, pinpointing the adaptive variant and determining underlying functional mechanisms of adaptation remains challenging.

Results: In this study, we use selection signatures from whole-genome sequence data of eight indigenous African cattle breeds in combination with gene expression and quantitative trait loci (QTL) databases to characterise genomic targets of artificial selection and environmental adaptation and to identify the underlying functional candidate genes. In general, the trait-association analyses of selection signatures suggest the innate and adaptive immune system and production traits as important selection targets. For example, a large genomic region, with selection signatures identified for all breeds except N'Dama, was located on BTA27, including multiple defensin DEFB coding-genes. Out of 22 analysed tissues, genes under putative selection were significantly enriched for those overexpressed in adipose tissue, blood, lung, testis and uterus. Our results further suggest that cis-eQTL are themselves selection targets; for most tissues, we found a positive correlation between allele frequency differences and cis-eQTL effect size, suggesting that positive selection acts directly on regulatory variants.

Conclusions: By combining selection signatures with information on gene expression and QTL, we were able to reveal compelling candidate selection targets that did not stand out from selection signature results alone (e.g. GIMAP8 for tick resistance and NDUFS3 for heat adaptation). Insights from this study will help to inform breeding and maintain diversity of locally adapted, and hence important, breeds.

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对非洲本土牛的选择特征和适应性 eQTL 的性状关联的见解。
背景:非洲牛是适应众多环境挑战的独特遗传多样性资源。描述非洲本土牛的遗传景观并确定具有重要功能的基因组区域和基因有助于进行有针对性的育种并解决遗传多样性丧失的问题。然而,精确定位适应性变体并确定适应性的潜在功能机制仍具有挑战性:在这项研究中,我们利用来自八个非洲本土牛种全基因组序列数据的选择特征,结合基因表达和数量性状位点(QTL)数据库,描述了人工选择和环境适应的基因组目标,并确定了潜在的功能候选基因。总体而言,选择特征的性状关联分析表明,先天性和适应性免疫系统以及生产性状是重要的选择目标。例如,在 BTA27 上发现了一个大的基因组区域,其中包括多个防御素 DEFB 编码基因,除 N'Dama 外,所有品种都发现了该区域的选择特征。在分析的 22 个组织中,脂肪组织、血液、肺、睾丸和子宫中过表达的基因明显富集。我们的研究结果进一步表明,顺式-eQTL本身就是选择目标;在大多数组织中,我们发现等位基因频率差异与顺式-eQTL效应大小之间存在正相关,这表明正选择直接作用于调控变体:结论:通过将选择特征与基因表达和 QTL 信息相结合,我们能够揭示出令人信服的候选选择目标,而这些目标并没有从单独的选择特征结果中脱颖而出(如抗蜱性的 GIMAP8 和热适应性的 NDUFS3)。这项研究的启示将有助于为育种提供信息,并保持适应当地环境的品种多样性,因此也是重要的品种。
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来源期刊
BMC Genomics
BMC Genomics 生物-生物工程与应用微生物
CiteScore
7.40
自引率
4.50%
发文量
769
审稿时长
6.4 months
期刊介绍: BMC Genomics is an open access, peer-reviewed journal that considers articles on all aspects of genome-scale analysis, functional genomics, and proteomics. BMC Genomics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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