Hong Woo-Jong, Jiang Xu, Choi Seok-Hyun, Kim Yu-Jin, Kim Sun-Tae, Jeon Jong-Seong, Jung Ki-Hong
Graduate School of Biotechnology and Crop Biotech Institute, Kyung Hee University, Yongin 17104, Korea.
Department of Life Science and Environmental Biochemistry, Life and Industry Convergence Research Institute, Pusan National University, Miryang 50463, Korea.
Plants (Basel). 2021 Aug 17;10(8):1690. doi: 10.3390/plants10081690.
Carbohydrate metabolism is an important biochemical process related to developmental growth and yield-related traits. Due to global climate change and rapid population growth, increasing rice yield has become vital. To understand whole carbohydrate metabolism pathways and find related clues for enhancing yield, genes in whole carbohydrate metabolism pathways were systemically dissected using meta-transcriptome data. This study identified 866 carbohydrate genes from the MapMan toolkit and the Kyoto Encyclopedia of Genes and Genomes database split into 11 clusters of different anatomical expression profiles. Analysis of functionally characterized carbohydrate genes revealed that source activity and eating quality are the most well-known functions, and they each have a strong correlation with tissue-preferred clusters. To verify the transcriptomic dissection, three pollen-preferred cluster genes were used and found downregulated in the mutant. Finally, we summarized carbohydrate metabolism as a conceptual model in gene clusters associated with morphological traits. This systemic analysis not only provided new insights to improve rice yield but also proposed novel tissue-preferred carbohydrate genes for future research.
碳水化合物代谢是一个与发育生长和产量相关性状有关的重要生化过程。由于全球气候变化和人口快速增长,提高水稻产量变得至关重要。为了了解整个碳水化合物代谢途径并找到提高产量的相关线索,利用元转录组数据对整个碳水化合物代谢途径中的基因进行了系统剖析。本研究从MapMan工具包和京都基因与基因组百科全书数据库中鉴定出866个碳水化合物基因,这些基因被分为11个具有不同解剖表达谱的簇。对功能特征明确的碳水化合物基因的分析表明,源活性和食用品质是最广为人知的功能,它们各自与组织偏好簇有很强的相关性。为了验证转录组剖析,使用了三个花粉偏好簇基因,发现它们在突变体中表达下调。最后,我们将碳水化合物代谢总结为一个与形态性状相关的基因簇概念模型。这种系统分析不仅为提高水稻产量提供了新的见解,还为未来的研究提出了新的组织偏好碳水化合物基因。