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논문 기본 정보

자료유형
학술저널
저자정보
Chen Mojun (College of Plant Science Jilin University) Li Zhao (College of Plant Science Jilin University) Huang Jie (Huazhi Rice Bio-Tech Co. Ltd.) Yan Yongfeng (Jilin Academy of Agricultural Sciences) Wu Tao (College of Plant Science Jilin University) Bian Mingdi (College of Plant Science Jilin University) Zhou Jinsong (Heilongjiang Academy of Agricultural Sciences) Wang Yongjun (Jilin Academy of Agricultural Sciences) Lyv Yanjie (Jilin Academy of Agricultural Sciences) Hu Guanghui (Heilongjiang Academy of Agricultural Sciences) Jin Yong-Mei (Jilin Academy of Agricultural Sciences) Huang Kai (College of Plant Science Jilin University) Guo Liping (College of Plant Science Jilin University) Jiang Wenzhu (College of Plant Science Jilin University) Du Xinglin (College of Plant Science Jilin University)
저널정보
한국유전학회 Genes & Genomics Genes & Genomics Vol.43 No.8
발행연도
2021.8
수록면
975 - 986 (12page)
DOI
10.1007/s13258-021-01121-z

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Background The Northeast Plain of China, which is an important region for the production of high grain quality rice in China. However, the grain quality of the rice produced varies across this region, even for the same cultivar. Objective In order to explore the meteorological factors that have the greatest infuence on quality and the transcriptional level diferences between diferent cultivars and diferent locations at grain flling stage. Methods We grew eight rice cultivars in three locations in Northeast China during two growing seasons (2017 and 2018). We recorded meteorological conditions, including air temperature, air temperature range, and photosynthetically active radiation (PAR) during the grain-flling stage of each cultivar, and analyzed the grain quality of those eight cultivars. Results Across all eight cultivars, meteorological factors had a stronger efect on eating quality than genotype, while genotype had a stronger efect on milling quality. Of the three environmental factors assessed, PAR was signifcantly correlated with the most grain quality traits. Using RNA-sequencing analysis, we identifed 573 environment-specifc DEGs (Diferentially Expressed Genes), and 119 genotype-specifc DEGs; 11 DEGs were responsive to genotype×environment interactions. These DEGs were involved in many key metabolic processes. Conclusion Our results indicated that interactions among environmental factors, especially PAR, afected rice quality in Northeast China. Further analyses of the DEGs identifed herein may provide useful information for future breeding programs aiming to develop high grain quality rice varieties suitable for cultivation across Northeast China.

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