Genetic-geographic correlation revealed across a broad European ecotypic sample of perennial ryegrass (Lolium perenne) using array-based SNP genotyping.
Genetic-geographic correlation revealed across a broad European ecotypic sample of perennial ryegrass (Lolium perenne) using array-based SNP genotyping.
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DOI：
10.1007/s00122-015-2556-3
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发表时间：
2015-10
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影响因子：
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通讯作者：
Hegarty M
中科院分区：
文献类型：
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作者：
Blackmore T;Thomas I;McMahon R;Powell W;Hegarty M
公开可用的SNP阵列增加了用于饲料作物多年生黑麦草基因分型的标记密度。应用于90个欧洲生态型组成的716个人确定了显着的遗传地理相关性。 草原生态系统在温带和热带地区普遍存在，占地球陆地覆盖面积的37%，因此代表了了解当地适应环境的全球资源。然而，禾本科物种（谷类以外）的基因组资源相对较少。下一代DNA测序和高密度SNP基因分型平台的出现使得能够开发用于群体遗传学分析和全基因组关联研究的密集标记分析。一个高密度的SNP标记资源（Illumina Infinium测定）多年生黑麦草（Lolium perenne）创建和验证在广泛的生态型收集716个人从欧洲各地的90个站点。群体内和群体间的遗传多样性进行了评估。主成分分析表明，地理来源与遗传结构有较强的相关性，与经度和纬度的相关性极显著（P < 0.001）。该阵列作为种质多样性研究和确定适应性变异的基础性状的资源的潜力被强调。本文的在线版本（doi：10.1007/s 00122 -015-2556-3）包含补充材料，可供授权用户使用。
Publically available SNP array increases the marker density for genotyping of forage crop,Lolium perenne. Applied to 90 European ecotypes composed of 716 individuals identifies a significant genetic–geographic correlation. Grassland ecosystems are ubiquitous across temperate and tropical regions, totalling 37 % of the terrestrial land cover of the planet, and thus represent a global resource for understanding local adaptations to environment. However, genomic resources for grass species (outside cereals) are relatively poor. The advent of next-generation DNA sequencing and high-density SNP genotyping platforms enables the development of dense marker assays for population genetics analyses and genome-wide association studies. A high-density SNP marker resource (Illumina Infinium assay) for perennial ryegrass (Lolium perenne) was created and validated in a broad ecotype collection of 716 individuals sampled from 90 sites across Europe. Genetic diversity within and between populations was assessed. A strong correlation of geographic origin to genetic structure was found using principal component analysis, with significant correlation to longitude and latitude (P < 0.001). The potential of this array as a resource for studies of germplasm diversity and identifying traits underpinning adaptive variation is highlighted. The online version of this article (doi:10.1007/s00122-015-2556-3) contains supplementary material, which is available to authorized users.