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利用 Axiom Buffalo Genotyping 90K 阵列研究伊朗水牛品种的全基因组连锁不平衡模式。

Study of whole genome linkage disequilibrium patterns of Iranian water buffalo breeds using the Axiom Buffalo Genotyping 90K Array.

机构信息

Department of Animal Science, Faculty of Agriculture, Urmia University, Urmia, Iran.

Department of Animal Science, Faculty of Agricultural Science and Engineering, University College of Agriculture and Natural Resources (UTCAN), University of Tehran, Karaj, Iran.

出版信息

PLoS One. 2019 May 31;14(5):e0217687. doi: 10.1371/journal.pone.0217687. eCollection 2019.

Abstract

Accuracy of genome-wide association studies, and the successful implementation of genomic selection depends on the level of linkage disequilibrium (LD) across the genome and also the persistence of LD phase between populations. In the present study LD between adjacent SNPs and LD decay between SNPs was calculated in three Iranian water buffalo populations. Persistence of LD phase was evaluated across these populations and effective population size (Ne) was estimated from corrected r2 information. A set of 404 individuals from three Iranian buffalo populations were genotyped with the Axiom Buffalo Genotyping 90K Array. Average r2 and |D'| between adjacent SNP pairs across all chromosomes was 0.27 and 0.66 for AZI, 0.29 and 0.68 for KHU, and 0.32 and 0.72 for MAZ. The LD between the SNPs decreased with increasing physical distance from 100Kb to 1Mb between markers, from 0.234 to 0.018 for AZI, 0.254 to 0.034 for KHU, and 0.297 to 0.119 for MAZ, respectively. These results indicate that a density of 90K SNP is sufficient for genomic analyses relying on long range LD (e.g. GWAS and genomic selection). The persistence of LD phase decreased with increasing marker distances across all the populations, but remained above 0.8 for AZI and KHU for marker distances up to 100Kb. For multi-breed genomic evaluation, the 90K SNP panel is suitable for AZI and KHU buffalo breeds. Estimated effective population sizes for AZI, KHU and MAZ were 477, 212 and 32, respectively, for recent generations. The estimated effective population sizes indicate that the MAZ is at risk and requires careful management.

摘要

全基因组关联研究的准确性和基因组选择的成功实施取决于基因组中连锁不平衡(LD)的水平,以及群体间 LD 相位的持久性。在本研究中,计算了三个伊朗水牛群体中相邻 SNP 之间的 LD 和 SNP 之间的 LD 衰减。评估了这些群体之间 LD 相位的持久性,并根据校正 r2 信息估计了有效种群大小(Ne)。从三个伊朗水牛群体中选取了 404 只个体,使用 Axiom Buffalo Genotyping 90K 芯片进行了基因型分析。在所有染色体上,相邻 SNP 对之间的平均 r2 和 |D'| 分别为 AZI 为 0.27 和 0.66,KHU 为 0.29 和 0.68,MAZ 为 0.32 和 0.72。随着物理距离从 100Kb 增加到 1Mb,SNP 之间的 LD 逐渐降低,从 AZI 的 0.234 降低到 0.018,从 KHU 的 0.254 降低到 0.034,从 MAZ 的 0.297 降低到 0.119。这些结果表明,90K SNP 密度足以进行依赖于长程 LD 的基因组分析(例如 GWAS 和基因组选择)。随着所有群体中标记距离的增加,LD 相位的持久性降低,但在标记距离高达 100Kb 时,AZI 和 KHU 的 LD 仍保持在 0.8 以上。对于多品种基因组评估,90K SNP 面板适合 AZI 和 KHU 水牛品种。AZI、KHU 和 MAZ 的估计有效种群大小分别为最近几代的 477、212 和 32。估计的有效种群大小表明 MAZ 处于危险之中,需要谨慎管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03d9/6544294/395856725d7a/pone.0217687.g001.jpg

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