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布拉福德牛对微小牛蜱侵袭的宿主抗性的遗传基础:系统生物学视角。

Genetic factors underlying host resistance to Rhipicephalus microplus tick infestation in Braford cattle: a systems biology perspective.

机构信息

Embrapa Dairy Cattle, Juiz de Fora, Brazil.

Embrapa South Livestock, Bagé, Brazil.

出版信息

Mamm Genome. 2024 Jun;35(2):186-200. doi: 10.1007/s00335-024-10030-x. Epub 2024 Mar 13.

Abstract

Approximately 80% of the world's cattle are raised in regions with a high risk of tick-borne diseases, resulting in significant economic losses due to parasitism by Rhipicephalus (Boophilus) microplus. However, the lack of a systemic biology approach hampers a comprehensive understanding of tick-host interactions that mediate tick resistance phenotypes. Here, we conducted a genome-wide association study (GWAS) of 2933 Braford cattle and found 340 single-nucleotide polymorphisms (SNPs) associated with tick counts. Gene expression analyses were performed on skin samples obtained from previously tick-exposed heifers with extremely high or low estimated breeding values for R. microplus counts. Evaluations were performed both before and after artificial infestation with ticks. Differentially expressed genes were found within 1-Mb windows centered at significant SNPs from GWAS. A total of 330 genes were related to the breakdown of homeostasis that was induced by larval attachment to bovine skin. Enrichment analysis pointed to a key role of proteolysis and signal transduction via JAK/STAT, NFKB and WNT/beta catenin signaling pathways. Integrative analysis on matrixEQTL revealed two cis-eQTLs and four significant SNPs in the genes peptidyl arginine deiminase type IV (PADI4) and LOC11449251. The integration of genomic data from QTL maps and transcriptome analyses has identified a set of twelve key genes that show significant associations with tick loads. These genes could be key candidates to improve the accuracy of genomic predictions for tick resistance in Braford cattle.

摘要

大约 80%的世界牛群生活在蜱传疾病高风险地区,由于 Rhipicephalus(Boophilus)microplus 的寄生,导致了巨大的经济损失。然而,缺乏系统生物学方法阻碍了对介导蜱抗性表型的蜱-宿主相互作用的全面理解。在这里,我们对 2933 头布拉福德牛进行了全基因组关联研究(GWAS),发现了 340 个与蜱计数相关的单核苷酸多态性(SNP)。对先前暴露于蜱的具有极高或极低 R. microplus 计数估计育种值的小母牛的皮肤样本进行了基因表达分析。在人工感染蜱之前和之后都进行了评估。在 GWAS 中位于显著 SNP 中心的 1-Mb 窗口内发现了差异表达的基因。共有 330 个基因与幼虫附着在牛皮肤上诱导的内稳态破坏有关。富集分析表明蛋白酶解和通过 JAK/STAT、NFKB 和 WNT/β-catenin 信号通路的信号转导起着关键作用。基质 EQTL 的综合分析揭示了基因肽酰精氨酸脱亚氨酶 IV(PADI4)和 LOC11449251 中的两个顺式-eQTL 和四个显著 SNP。来自 QTL 图谱和转录组分析的基因组数据的整合确定了一组 12 个关键基因,它们与蜱载量有显著关联。这些基因可能是提高布拉福德牛对蜱抗性基因组预测准确性的关键候选基因。

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