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Whole Genome Resequencing from Bulked Populations as a Rapid QTL and Gene Identification Method in Rice

1
State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 311400, Zhejiang, China
2
Department of Plant Sciences, University of Gondar, Gondar, P.O. Box 196, Ethiopia
3
Zhejiang Key Laboratory of Super Rice Research, Hangzhou 311400, China
*
Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2018, 19(12), 4000; https://doi.org/10.3390/ijms19124000
Received: 12 November 2018 / Revised: 30 November 2018 / Accepted: 2 December 2018 / Published: 12 December 2018
(This article belongs to the Section Molecular Plant Sciences)
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. View Full-Text
Keywords: bulk segregant analysis; MutMap; QTL-seq; whole genome resequencing bulk segregant analysis; MutMap; QTL-seq; whole genome resequencing
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Zegeye, W.A.; Zhang, Y.; Cao, L.; Cheng, S. Whole Genome Resequencing from Bulked Populations as a Rapid QTL and Gene Identification Method in Rice. Int. J. Mol. Sci. 2018, 19, 4000.

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