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A fine structure genetic analysis evaluating ecoregional adaptability of a Bos taurus breed (Hereford)

机译:精细结构遗传分析评估金牛座(赫里福德)品种的生态区域适应性

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摘要

Ecoregional differences contribute to genetic environmental interactions and impact animal performance. These differences may become more important under climate change scenarios. Utilizing genetic diversity within a species to address such problems has not been fully explored. In this study Hereford cattle were genotyped with 50K Bead Chip or 770K Bovine Bead Chip to test the existence of genetic structure in five U.S. ecoregions characterized by precipitation, temperature and humidity and designated: cool arid (CA), cool humid (CH), transition zone (TZ), warm arid (WA), and warm humid (WH). SNP data were analyzed in three sequential analyses. Broad genetic structure was evaluated with STRUCTURE, and ADMIXTURE software using 14,312 SNPs after passing quality control variables. The second analysis was performed using principal coordinate analysis with 66 Tag SNPs associated in the literature with various aspects of environmental stressors (e.g., heat tolerance) or production (e.g., milk production). In the third analysis TreeSelect was used with the 66 SNPs to evaluate if ecoregional allelic frequencies deviated from a central frequency and by so doing are indicative of directional selection. The three analyses suggested subpopulation structures associated with ecoregions from where animals were derived. ADMIXTURE and PCA results illustrated the importance of temperature and humidity and confirm subpopulation assignments. Comparisons of allele frequencies with TreeSelect showed ecoregion differences, in particular the divergence between arid and humid regions. Patterns of genetic variability obtained by medium and high density SNP chips can be used to acclimatize a temperately derived breed to various ecoregions. As climate change becomes an important factor in cattle production, this study should be used as a proof of concept to review future breeding and conservation schemes aimed at adaptation to climatic events.
机译:生态区域的差异有助于遗传环境的相互作用并影响动物的生长。在气候变化情景下,这些差异可能变得更加重要。利用物种内的遗传多样性来解决此类问题尚未得到充分探索。在这项研究中,对赫里福德牛用50K珠子芯片或770K牛珠子芯片进行基因分型,以测试五个以降水,温度和湿度为特征的美国生态区的遗传结构的存在,并将其指定为:凉爽干旱(CA),凉爽潮湿(CH),过渡区(TZ),温暖干旱(WA)和温暖潮湿(WH)。在三个顺序分析中分析了SNP数据。在通过质量控制变量后,使用STRUCTURE和ADMIXTURE软件使用14,312个SNP评估了广泛的遗传结构。使用与文献相关联的66种Tag SNP进行主坐标分析进行第二次分析,涉及环境压力因素(例如耐热性)或生产(例如牛奶生产)的各个方面。在第三次分析中,将TreeSelect与66个SNP一起使用,以评估生态区域等位基因频率是否偏离中心频率,并以此指示方向选择。这三项分析表明与动物来源的生态区域相关的亚种群结构。 ADMIXTURE和PCA结果说明了温度和湿度的重要性,并确认了亚群分配。将等位基因频率与TreeSelect进行比较显示出生态区域差异,特别是干旱和潮湿区域之间的差异。通过中,高密度SNP芯片获得的遗传变异性模式可用于使温带衍生品种适应各种生态区域。由于气候变化已成为影响牛群生产的重要因素,因此该研究应作为概念验证,以审查旨在适应气候事件的未来育种和保护计划。

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