Suppr超能文献

单核苷酸多态性阵列与简化基因组测序技术在小麦基因库基因组学中的适用性比较

Suitability of Single-Nucleotide Polymorphism Arrays Versus Genotyping-By-Sequencing for Genebank Genomics in Wheat.

作者信息

Chu Jianting, Zhao Yusheng, Beier Sebastian, Schulthess Albert W, Stein Nils, Philipp Norman, Röder Marion S, Reif Jochen C

机构信息

Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany.

Department of Genebank, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany.

出版信息

Front Plant Sci. 2020 Feb 14;11:42. doi: 10.3389/fpls.2020.00042. eCollection 2020.

Abstract

Genebank genomics promises to unlock valuable diversity for plant breeding but first, one key question is which marker system is most suitable to fingerprint entire genebank collections. Using wheat as model species, we tested for the presence of an ascertainment bias and investigated its impact on estimates of genetic diversity and prediction ability obtained using three marker platforms: simple sequence repeat (SSR), genotyping-by-sequencing (GBS), and array-based SNP markers. We used a panel of 378 winter wheat genotypes including 190 elite lines and 188 plant genetic resources (PGR), which were phenotyped in multi-environmental trials for grain yield and plant height. We observed an ascertainment bias for the array-based SNP markers, which led to an underestimation of the molecular diversity within the population of PGR. In contrast, the marker system played only a minor role for the overall picture of the population structure and precision of genome-wide predictions. Interestingly, we found that rare markers contributed substantially to the prediction ability. This combined with the expectation that valuable novel diversity is most likely rare suggests that markers with minor allele frequency deserve careful consideration in the design of a pre-breeding program.

摘要

基因库基因组学有望为植物育种解锁有价值的多样性,但首先,一个关键问题是哪种标记系统最适合对整个基因库收集品进行指纹识别。以小麦作为模式物种,我们测试了是否存在确认偏差,并研究了其对使用三种标记平台(简单序列重复(SSR)、简化基因组测序(GBS)和基于芯片的单核苷酸多态性(SNP)标记)获得的遗传多样性估计和预测能力的影响。我们使用了一个由378个冬小麦基因型组成的群体,包括190个优良品系和188个植物遗传资源(PGR),这些基因型在多环境试验中对籽粒产量和株高进行了表型分析。我们观察到基于芯片的SNP标记存在确认偏差,这导致了对PGR群体内分子多样性的低估。相比之下,标记系统对群体结构的整体情况和全基因组预测的精度只起了较小的作用。有趣的是,我们发现稀有标记对预测能力有很大贡献。这与有价值的新多样性很可能是稀有的预期相结合,表明在设计预育种计划时,次要等位基因频率的标记值得仔细考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2494/7033508/ca15f7592b00/fpls-11-00042-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验