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[俄罗斯大白猪后代发育异常分布及其他育种价值性状的全基因组关联研究]

[Whole-genome association studies of distribution of developmental abnormalities and other breeding-valuable qualitative traits in offspring of the Russian large-white boars].

作者信息

Траспов А А, Костюнина О В, Белоус А А, Карпушкина Т В, Свеженцева Н А, Зиновьева Н А

机构信息

Федеральный научный центр животноводства - ВИЖ им. академика Л.К. Эрнста, пос. Дубровицы, Подольский городской округ, Московская область, Россия.

出版信息

Vavilovskii Zhurnal Genet Selektsii. 2020 Mar;24(2):185-190. doi: 10.18699/VJ20.612.

Abstract

Identifying genome regions that are directly or indirectly associated with developmental defects and malformations in domesticated pigs can help identify genomic traits used as biomarkers of the structural and functional composition of the body, their metabolic status and genetic diseases as well. Such studies are directly related to the improvement of the economic efficiency, as they allow identification and exclusion of defect animals, who may carry target genes not appearing phenotypically, from the breeding process. In the current work, we have searched for these kind of target genes and genome regions with conducting the genome-wide association studies using PorcineSNP60K BeadChips (Illumina, San Diego, USA). A total of 48 boars of a large white breed of the nucleus farm "Znamenskoe" were analyzed for 21 traits of indicated shortcomings of the exterior and defects of development in 39,153 their offspring. Calculations were made using a mixed type linear model in package GEMMA. In this study, we selected only 36,704 polymorphic SNPs from an initial 61,000-strong SNP set. After GWAS, we obtained 24 alleles in 11 corresponding genes (P < 0.1) in the genome of pigs, which are significantly correlated with traits of developmental abnormalities such as anal atresia (ARMC7, FANCC, RND3, ENSSSCG00000017216), limb problems (PAWR, NTM, OPCML, ENSSSCG00000040250, ENSSSCG00000017018) and tremor of piglets (RIC3, ENSSSCG00000032665). Also, co-expression of the NTM, OPCML and RND3 genes was revealed. This study confirms the relevance of using the single SNP detection according to the single trait approach in associative studies, even for small sample numbers.

摘要

识别与家猪发育缺陷和畸形直接或间接相关的基因组区域,有助于识别用作身体结构和功能组成、代谢状态以及遗传疾病生物标志物的基因组特征。此类研究与提高经济效率直接相关,因为它们能够在育种过程中识别并排除可能携带未表现出表型的目标基因的缺陷动物。在当前的研究中,我们使用猪60K SNP芯片(美国圣地亚哥Illumina公司)进行全基因组关联研究,以寻找这类目标基因和基因组区域。对核养殖场“Znamenskoe”的48头大白猪品种公猪及其39153头后代的21种外观缺陷和发育缺陷性状进行了分析。使用GEMMA软件包中的混合线性模型进行计算。在本研究中,我们仅从最初的61000个单核苷酸多态性(SNP)集合中选择了36704个多态性SNP。经过全基因组关联研究,我们在猪基因组中的11个相应基因中获得了24个等位基因(P<0.1),这些等位基因与发育异常性状显著相关,如肛门闭锁(ARMC7、FANCC、RND3、ENSSSCG00000017216)、肢体问题(PAWR、NTM、OPCML、ENSSSCG00000040250、ENSSSCG00000017018)以及仔猪震颤(RIC3、ENSSSCG00000032665)。此外,还发现了NTM、OPCML和RND3基因的共表达。本研究证实了在关联研究中,即使样本数量较少,采用单性状方法进行单SNP检测的相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f80a/7716570/53546eb8c2fb/VJGB-24-20612-Form1.jpg

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