.png){kind=icon}
返回
Capturing Wheat Phenotypes at the Genome Level
.png){kind=icon}
OA
AI
DOI：10.3389/fpls.2022.851079.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Recent technological advances in next-generation sequencing (NGS) technologies have dramatically reduced the cost of DNA sequencing, allowing species with large and complex genomes to be sequenced. Although bread wheat (Triticum aestivum L.) is one of the world's most important food crops, efficient exploitation of molecular marker-assisted breeding approaches has lagged behind that achieved in other crop species, due to its large polyploid genome. However, an international public-private effort spanning 9 years reported over 65% draft genome of bread wheat in 2014, and finally, after more than a decade culminated in the release of a gold-standard, fully annotated reference wheat-genome assembly in 2018. Shortly thereafter, in 2020, the genome of assemblies of additional 15 global wheat accessions was released. As a result, wheat has now entered into the pan-genomic era, where basic resources can be efficiently exploited. Wheat genotyping with a few hundred markers has been replaced by genotyping arrays, capable of characterizing hundreds of wheat lines, using thousands of markers, providing fast, relatively inexpensive, and reliable data for exploitation in wheat breeding. These advances have opened up new opportunities for marker-assisted selection (MAS) and genomic selection (GS) in wheat. Herein, we review the advances and perspectives in wheat genetics and genomics, with a focus on key traits, including grain yield, yield-related traits, end-use quality, and resistance to biotic and abiotic stresses. We also focus on reported candidate genes cloned and linked to traits of interest. Furthermore, we report on the improvement in the aforementioned quantitative traits, through the use of (i) clustered regularly interspaced short-palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9)-mediated gene-editing and (ii) positional cloning methods, and of genomic selection. Finally, we examine the utilization of genomics for the next-generation wheat breeding, providing a practical example of using in silico bioinformatics tools that are based on the wheat reference-genome sequence.
Keyword:
Wheat
genome-wide association
quantitative trait locus mapping
abiotic-stress tolerance
genomic selection
QTL cloning
disease resistance
CRISPR
Cas9
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.8
论文数:
3.5W
被引数:
14.7W
机构
查看更多机构
引用论文
Control of the western flower thrips, <I>Frankliniella occidentalis</I> (Pergande) on greenhouse eggplant by releasing of <I>Orius strigicollis</I> (Poppius)温室茄子西花蓟马 <I>Frankliniella occidentalis</I> (Pergande) 的生物防治：释放 <I>Orius strigicollis</I> (Poppius)。
OAAI
OAAI分享收藏分享收藏Comparison of Models and Whole-Genome Profiling Approaches for Genomic-Enabled Prediction of Septoria Tritici Blotch, Stagonospora Nodorum Blotch, and Tan Spot Resistance in Wheat.png)
PLANT GENOMEOAAI
PLANT GENOMEIF3.8
OAAI分享收藏Analysis of main effect QTL for thousand grain weight in European winter wheat (Triticum aestivum L.) by genome-wide association mapping通过全基因组关联作图分析欧洲冬小麦 (Triticum aestivum L.) 千粒重的主要效应QTLOAAI
OAAI分享收藏 查看更多内容