Whole genome sequencing to identify genes and QTL in rice

Terauchi, Ryohei, Abe, Akira, Takagi, Hiroki, Tamiru, Muluneh, Fekih, Rym, Natsume, Satoshi, Yaegashi, Hiroki, Kosugi, Shunichi, Kanzaki, Hiroyuki, Matsumura, Hideo, Saitoh, Hiromasa, Yoshida, Kentaro, Cano, Liliana and Kamoun, Sophien (2015) Whole genome sequencing to identify genes and QTL in rice. In: Advances in the Understanding of Biological Sciences Using Next Generation Sequencing (NGS) Approaches. Springer, pp. 33-42. ISBN 9783319171579

Full text not available from this repository. (Request a copy)

Abstract

The recent accumulation of whole genome sequences (WGS) in a large number of plant species creates new opportunities to use this information for identifying genes/quantitative trait loci (QTL) and to accelerate crop improvement. To this end, we recently developed the MutMap method (Abe et al., Nat Biotechnol 30:174-178, 2012) and its derivatives MutMap+ (Fekih et al., PLoS One 8(7):e68529, 2013) and MutMap-Gap (Takagi et al., New Phytol 200(1):276–283, 2013a), which take full advantage of WGS to efficiently identify mutant genes from EMS mutagenized plant populations. We also reported QTL-seq (Takagi et al., Plant J 74:174-183, 2013b), a WGS-based method for identification of QTL. We applied these methods to rice for rapid identification and discovery of genes of agronomic importance. In this chapter, we introduce these WGS-based methods, MutMap family and QTL-seq, and provide an overview of the genetic analyses that we expect to accelerate crop improvement in rice and other crop species of economic importance

Item Type: Book Section
Uncontrolled Keywords: crop,mutation,mutmap,ngs,qtl,qtl-seq,rice,snp-index,wgs
Faculty \ School:
Faculty of Science > School of Biological Sciences
Related URLs:
Depositing User: Pure Connector
Date Deposited: 01 Jun 2016 12:01
Last Modified: 22 Apr 2020 10:59
URI: https://ueaeprints.uea.ac.uk/id/eprint/59175
DOI: 10.1007/978-3-319-17157-9_3

Actions (login required)

View Item View Item