Suppr超能文献

作物数量性状基因座图谱已成熟。

The crop QTLome comes of age.

作者信息

Salvi Silvio, Tuberosa Roberto

机构信息

Department of Agricultural Sciences, University of Bologna, Viale Fanin 44, 40127 Bologna, Italy.

Department of Agricultural Sciences, University of Bologna, Viale Fanin 44, 40127 Bologna, Italy.

出版信息

Curr Opin Biotechnol. 2015 Apr;32:179-185. doi: 10.1016/j.copbio.2015.01.001. Epub 2015 Jan 19.

Abstract

Recent progress in genomics and phenomics allows for a more accurate and comprehensive characterization of the Quantitative Trait Loci (QTLs)—hereafter defined 'QTLome' as a whole—that govern the variation targeted in breeding programs. High-density genotyping now provides unambiguous identification of QTL alleles, and for several traits beneficial alleles at major QTLs have already been deployed in marker-assisted breeding. However, the amount of QTLome information is enormous and approaches to distill and translate this information to breeders remain to be refined. Improved QTL meta-analyses, better estimation of QTL effects, improved crop modelling and full sharing of raw QTL data will enable a more effective exploitation of the QTLome.

摘要

基因组学和表型组学的最新进展使得对数量性状基因座(QTL)——在此将其整体定义为“QTL组”——进行更准确、更全面的表征成为可能,这些数量性状基因座控制着育种计划中所针对的变异。高密度基因分型现在能够明确鉴定QTL等位基因,并且对于多个性状而言,主要QTL上的有利等位基因已被应用于标记辅助育种。然而,QTL组信息的数量极为庞大,将这些信息提炼并转化给育种者的方法仍有待完善。改进的QTL元分析、对QTL效应的更好估计、改进的作物模型以及原始QTL数据的充分共享将使QTL组得到更有效的利用。

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