State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 311400, Zhejiang, China.
Department of Plant Sciences, University of Gondar, Gondar, P.O. Box 196, Ethiopia.
Int J Mol Sci. 2018 Dec 12;19(12):4000. doi: 10.3390/ijms19124000.
Most Quantitative Trait Loci (QTL) and gene isolation approaches, such as positional- or map-based cloning, are time-consuming and low-throughput methods. Understanding and detecting the genetic material that controls a phenotype is a key means to functionally analyzing genes as well as to enhance crop agronomic traits. In this regard, high-throughput technologies have great prospects for changing the paradigms of DNA marker revealing, genotyping, and for discovering crop genetics and genomic study. Bulk segregant analysis, based on whole genome resequencing approaches, permits the rapid isolation of the genes or QTL responsible for the causative mutation of the phenotypes. MutMap, MutMap Gap, MutMap+, modified MutMap, and QTL-seq methods are among those approaches that have been confirmed to be fruitful gene mapping approaches for crop plants, such as rice, irrespective of whether the characters are determined by polygenes. As a result, in the present study we reviewed the progress made by all these methods to identify QTL or genes in rice.
大多数数量性状基因座(QTL)和基因分离方法,如定位或图谱克隆,都是耗时且低通量的方法。了解和检测控制表型的遗传物质是对基因进行功能分析以及增强作物农艺性状的关键手段。在这方面,高通量技术在揭示 DNA 标记、基因分型以及发现作物遗传学和基因组研究方面具有广阔的前景。基于全基因组重测序方法的批量分离分析允许快速分离负责表型因果突变的基因或 QTL。MutMap、MutMap Gap、MutMap+、改良 MutMap 和 QTL-seq 方法等方法已被证实是水稻等作物植物的富有成效的基因定位方法,无论这些性状是由多基因决定的。因此,在本研究中,我们综述了所有这些方法在鉴定水稻中的 QTL 或基因方面的进展。