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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 
ORCID: https://orcid.org/0000-0002-0290-0315
(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
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 > The Sainsbury Laboratory Faculty of Science > School of Biological Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Plant Sciences |
| Related URLs: | |
| Depositing User: | Pure Connector |
| Date Deposited: | 01 Jun 2016 12:01 |
| Last Modified: | 21 Oct 2022 23:53 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/59175 |
| DOI: | 10.1007/978-3-319-17157-9_3 |
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