Mishra Dwijesh Chandra, Arora Devender, Budhlakoti Neeraj, Solanke Amolkumar U, Mithra S V Amitha Cr, Kumar Anuj, Pandey P S, Srivastava Sudhir, Kumar Sanjeev, Farooqi M S, Lal S B, Rai Anil, Chaturvedi K K
Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
National Institute of Animal Science, Rural Development Administration, Jeonju, South Korea.
Front Genet. 2022 Feb 7;12:780599. doi: 10.3389/fgene.2021.780599. eCollection 2021.
Rice is an important staple food grain consumed by most of the population around the world. With climate and environmental changes, rice has undergone a tremendous stress state which has impacted crop production and productivity. Plant growth hormones are essential component that controls the overall outcome of the growth and development of the plant. Cytokinin is a hormone that plays an important role in plant immunity and defense systems. -zeatin is an active form of cytokinin that can affect plant growth which is mediated by a multi-step two-component phosphorelay system that has different roles in various developmental stages. Systems biology is an approach for pathway analysis to -zeatin treated rice that could provide a deep understanding of different molecules associated with them. In this study, we have used a weighted gene co-expression network analysis method to identify the functional modules and hub genes involved in the cytokinin pathway. We have identified nine functional modules comprising of different hub genes which contribute to the cytokinin signaling route. The biological significance of these identified hub genes has been tested by applying well-proven statistical techniques to establish the association with the experimentally validated QTLs and annotated by the DAVID server. The establishment of key genes in different pathways has been confirmed. These results will be useful to design new stress-resistant cultivars which can provide sustainable yield in stress-specific conditions.
水稻是世界上大多数人口食用的重要主食谷物。随着气候和环境变化,水稻经历了巨大的胁迫状态,这影响了作物产量和生产力。植物生长激素是控制植物生长和发育总体结果的重要组成部分。细胞分裂素是一种在植物免疫和防御系统中起重要作用的激素。玉米素是细胞分裂素的一种活性形式,它可以影响植物生长,这种影响由一个多步骤的双组分磷酸化信号转导系统介导,该系统在不同发育阶段具有不同作用。系统生物学是一种对经玉米素处理的水稻进行通路分析的方法,它可以深入了解与之相关的不同分子。在本研究中,我们使用加权基因共表达网络分析方法来识别参与细胞分裂素通路的功能模块和枢纽基因。我们确定了九个由不同枢纽基因组成的功能模块,这些模块对细胞分裂素信号传导途径有贡献。通过应用经过充分验证的统计技术来建立与实验验证的数量性状位点的关联,并由DAVID服务器进行注释,对这些已识别的枢纽基因的生物学意义进行了测试。不同通路中关键基因的确定得到了证实。这些结果将有助于设计新的抗逆品种,使其在特定胁迫条件下能提供可持续的产量。