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.
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References
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Acknowledgements
This study was supported by the Program for Promotion of Basic Research Activities for Innovative Biosciences, the Ministry of Education, Cultures, Sports and Technology, Japan to HK and RT (Grant-in-Aid for Scientific Research on Innovative Areas 23113009) and JSPS KAKENHI to RT (Grant No. 24248004). We thank Shigeru Kuroda for general supports.
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Terauchi, R. et al. (2015). Whole Genome Sequencing to Identify Genes and QTL in Rice. In: Sablok, G., Kumar, S., Ueno, S., Kuo, J., Varotto, C. (eds) Advances in the Understanding of Biological Sciences Using Next Generation Sequencing (NGS) Approaches. Springer, Cham. https://doi.org/10.1007/978-3-319-17157-9_3
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DOI: https://doi.org/10.1007/978-3-319-17157-9_3
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