Advances in genome-wide association studies of complex traits in rice
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Genome-wide association studies (GWAS), genetic surveys of the whole genome to detect variants associated with a trait in natural populations, are a powerful approach for dissecting complex traits. This genetic mapping approach has been applied in rice over the last 10 years. During the last decade, GWAS was used to identify the loci underlying tens of rice traits, and several important genes were detected in GWAS and further confirmed in follow-up functional experiments. In this review, we present an overview of the whole process in a typical GWAS, including population design, genotyping, phenotyping and analysis methods. Recent advances in rice GWAS are also provided, including several examples of the functional characterization of candidate genes. The possible breakthroughs of rice GWAS in the next decade are discussed with regard to their application in breeding, the consideration of epistatic interactions and in-depth functional annotations of DNA elements and genetic variants throughout the rice genome.
The research activities at our laboratory have been supported mainly by the National Key Research and Development Program of China (2016YFD0100902), the National Natural Science Foundation of China (31825015), Program of Shanghai Academic Research Leader (18XD1402900), Innovation Program of Shanghai Municipal Education Commission (2017-01-07-00-02-E00039) for supporting our research. We apologize to any authors whose work may not have been addressed owing to length restrictions.
QW, JT, BH and XH conceived, designed and wrote this review manuscript and prepared the figures.
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Conflict of interest
The authors declare that they have no conflict of interest.
- Shen L, Wang C, Fu Y et al (2018) QTL editing confers opposing yield performance in different rice varieties. J Integr Plant Biol 61:122–125Google Scholar