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从濒危品种和普通品种的杂交后代中恢复原始遗传背景的基因组选择。

Genomic selection for recovery of original genetic background from hybrids of endangered and common breeds.

机构信息

INIA Madrid, Spain.

Department of Environment and Primary Industries, Biosciences Research Division Bundoora, Vic., Australia ; La Trobe University Bundoora, Vic., Australia ; Cooperative Research Centre for Sheep Industry Innovation Armidale, NSW, Australia.

出版信息

Evol Appl. 2014 Feb;7(2):227-37. doi: 10.1111/eva.12113. Epub 2013 Oct 14.

Abstract

Critically endangered breeds and populations are often crossed with more common breeds or subspecies. This results in genetic admixture that can be undesirable when it challenges the genetic integrity of wild and domestic populations, causing a loss in special characteristics or unique genetic material and ultimately extinction. Here, we present two genomic selection strategies, using genome-wide DNA markers, to recover the genomic content of the original endangered population from admixtures. Each strategy relies on the estimation of the proportion of nonintrogressed genome in individuals based on a different method: either genomic prediction or identification of breed-specific haplotypes. Then, breeding programs that remove introgressed genomic information can be designed. To test these strategies, we used empirical 50K SNP array data from two pure sheep breeds, Merino (used as target breed), Poll Dorset and an existing admixed population of both breeds. Sheep populations with varying degrees of introgression and admixture were simulated starting from these real genotypes. Both strategies were capable of identifying segment origin, and both removed up to the 100% of the Poll Dorset segments. While the selection process led to substantial inbreeding, we controlled it by imposing a minimum number of individuals contributing to the next generation.

摘要

极度濒危的品种和种群通常与更为常见的品种或亚种杂交。这会导致基因混合,当它挑战野生物种和家养种群的遗传完整性时,可能是不理想的,导致特殊特征或独特遗传物质的丧失,并最终导致灭绝。在这里,我们提出了两种基因组选择策略,使用全基因组 DNA 标记,从混合物中恢复原始濒危种群的基因组内容。每种策略都依赖于基于不同方法估计个体中非渐渗基因组的比例:要么是基因组预测,要么是识别品种特异性单倍型。然后,可以设计去除渐渗基因组信息的繁殖计划。为了测试这些策略,我们使用了来自两个纯种绵羊品种(美利奴羊,用作目标品种)、Po​​ll Dorset 和现有的两个品种混合种群的 50K SNP 数组的经验数据。从这些真实基因型开始,模拟了具有不同程度渐渗和混合的绵羊种群。两种策略都能够识别片段起源,并且都去除了多达 100%的 Poll Dorset 片段。虽然选择过程导致了大量的近亲繁殖,但我们通过规定下一代有贡献的个体的最小数量来控制它。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98b0/3927885/076167765546/eva0007-0227-f1.jpg

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