Genome-wide association study of leaf photosynthesis using a high-throughput gas exchange system in rice

被引:0
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作者
Sotaro Honda
Ayumu Imamura
Yoshiaki Seki
Koki Chigira
Marina Iwasa
Kentaro Hayami
Tomohiro Nomura
Satoshi Ohkubo
Taiichiro Ookawa
Atsushi J. Nagano
Makoto Matsuoka
Yu Tanaka
Shunsuke Adachi
机构
[1] Tokyo University of Agriculture and Technology,Graduate School of Agriculture
[2] Ibaraki University,Graduate School of Agriculture
[3] Ryukoku University,Faculty of Agriculture
[4] Keio University,Institute for Advanced Biosciences
[5] Fukushima University,Faculty of Food and Agricultural Sciences, Institute of Fermentation Sciences
[6] Okayama University,Graduate School of Environment and Life Science
来源
Photosynthesis Research | 2024年 / 159卷
关键词
Net CO; assimilation rate; Closed gas exchange system; Genome-wide association study; QTL analysis;
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学科分类号
摘要
Enhancing leaf photosynthetic capacity is essential for improving the yield of rice (Oryza sativa L.). Although the exploitation of natural genetic resources is considered a promising approach to enhance photosynthetic capacity, genomic factors related to the genetic diversity of leaf photosynthetic capacity have yet to be fully elucidated due to the limitation of measurement efficiency. In this study, we aimed to identify novel genomic regions for the net CO2 assimilation rate (A) by combining genome-wide association study (GWAS) and the newly developed rapid closed gas exchange system MIC-100. Using three MIC-100 systems in the field at the vegetative stage, we measured A of 168 temperate japonica rice varieties with six replicates for three years. We found that the modern varieties exhibited higher A than the landraces, while there was no significant relationship between the release year and A among the modern varieties. Our GWAS scan revealed two major peaks located on chromosomes 4 and 8, which were repeatedly detected in the different experiments and in the generalized linear modelling approach. We suggest that high-throughput gas exchange measurements combined with GWAS is a reliable approach for understanding the genetic mechanisms underlying photosynthetic diversities in crop species.
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页码:17 / 28
页数:11
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