Suppr超能文献

快速葡萄属基因组特征分析。

Rapid genomic characterization of the genus vitis.

机构信息

Institute for Genomic Diversity, Cornell University, Ithaca, New York, USA.

出版信息

PLoS One. 2010 Jan 13;5(1):e8219. doi: 10.1371/journal.pone.0008219.

Abstract

Next-generation sequencing technologies promise to dramatically accelerate the use of genetic information for crop improvement by facilitating the genetic mapping of agriculturally important phenotypes. The first step in optimizing the design of genetic mapping studies involves large-scale polymorphism discovery and a subsequent genome-wide assessment of the population structure and pattern of linkage disequilibrium (LD) in the species of interest. In the present study, we provide such an assessment for the grapevine (genus Vitis), the world's most economically important fruit crop. Reduced representation libraries (RRLs) from 17 grape DNA samples (10 cultivated V. vinifera and 7 wild Vitis species) were sequenced with sequencing-by-synthesis technology. We developed heuristic approaches for SNP calling, identified hundreds of thousands of SNPs and validated a subset of these SNPs on a 9K genotyping array. We demonstrate that the 9K SNP array provides sufficient resolution to distinguish among V. vinifera cultivars, between V. vinifera and wild Vitis species, and even among diverse wild Vitis species. We show that there is substantial sharing of polymorphism between V. vinifera and wild Vitis species and find that genetic relationships among V. vinifera cultivars agree well with their proposed geographic origins using principal components analysis (PCA). Levels of LD in the domesticated grapevine are low even at short ranges, but LD persists above background levels to 3 kb. While genotyping arrays are useful for assessing population structure and the decay of LD across large numbers of samples, we suggest that whole-genome sequencing will become the genotyping method of choice for genome-wide genetic mapping studies in high-diversity plant species. This study demonstrates that we can move quickly towards genome-wide studies of crop species using next-generation sequencing. Our study sets the stage for future work in other high diversity crop species, and provides a significant enhancement to current genetic resources available to the grapevine genetic community.

摘要

下一代测序技术有望通过促进农艺重要表型的遗传图谱绘制,极大地加速遗传信息在作物改良中的应用。优化遗传图谱设计的第一步涉及大规模多态性发现以及对目标物种的群体结构和连锁不平衡(LD)模式的全基因组评估。在本研究中,我们对世界上最具经济价值的水果作物葡萄(属 Vitis)进行了这样的评估。来自 17 个葡萄 DNA 样本(10 个栽培的 V. vinifera 和 7 个野生 Vitis 种)的简化基因组文库(RRL)用合成测序技术进行了测序。我们开发了 SNP 调用的启发式方法,鉴定了数十万 SNP,并在 9K 基因分型阵列上验证了这些 SNP 的子集。我们证明 9K SNP 阵列提供了足够的分辨率,可以区分 V. vinifera 品种、V. vinifera 和野生 Vitis 种,甚至可以区分不同的野生 Vitis 种。我们表明,V. vinifera 和野生 Vitis 种之间存在大量多态性共享,并且通过主成分分析(PCA)发现 V. vinifera 品种之间的遗传关系与其提议的地理起源非常吻合。即使在短距离内,驯化葡萄的 LD 水平也很低,但 LD 仍然保持在背景水平之上,可达 3kb。虽然基因分型阵列对于评估群体结构和 LD 在大量样本中的衰减很有用,但我们建议全基因组测序将成为高通量植物物种全基因组遗传图谱研究的首选基因分型方法。本研究表明,我们可以使用下一代测序技术快速推进作物物种的全基因组研究。我们的研究为其他高多样性作物物种的未来工作奠定了基础,并为葡萄遗传社区提供了当前遗传资源的重大增强。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27be/2805708/e198c5d3d5ca/pone.0008219.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验