TY - EJOU
AU - Su, Dongxue
AU - Zheng, Jiarui
AU - Yi, Yuwei
AU - Zhang, Shuyuan
AU - Feng, Luxin
AU - Quzhen, Danzeng
AU - Qiong, De
AU - Zhang, Weiwei
AU - Wang, Qijian
AU - Xu, Feng
TI - Genome-Wide Identification of the MYB Gene Family and Screening of Potential Genes Involved in Fatty Acid Biosynthesis in Walnut
T2 - Phyton-International Journal of Experimental Botany
PY - 2024
VL - 93
IS - 9
SN - 1851-5657
AB - The multifaceted roles of MYB transcriptional regulators are pivotal in orchestrating the complex processes of secondary metabolism, stress tolerance mechanisms, and life cycle progression and development. This study extensively examined the JrMYB genes using whole genome and transcriptomic data, focusing on identifying putative MYB genes associated with fatty acid metabolism. 126 MYB genes were identified within the walnut genome, characterized by hydrophilic proteins spanning lengths ranging from 78 to 1890 base pairs. Analysis of cis-acting elements within the promoter regions of MYB genes revealed many elements linked to cell development, environmental stress, and phytohormones. Transcriptomic data was utilized to examine the role of JrMYB genes in the biosynthesis of fatty acids in walnuts. The results revealed diverse expression of these genes across various tissue sites, displaying varying levels and distinct expression patterns. Furthermore, by integrating the results of the phylogenetic tree with the correlation of expression levels, a total of 10 genes potentially involved in the regulation of fatty acid synthesis were screened. Quantitative real-time polymerase chain reaction (qRT-PCR) analysis was conducted on these 10 genes and further identified 4 candidate genes, and a transcription regulatory network involved in fatty acids metabolism was constructed. This study presents a systematic analysis of JrMYB genes, laying the groundwork for an in-depth exploration of the JrMYB genes family’s function in regulating fatty acid synthesis.
KW - Walnut; JrMYB genes; fatty acid synthesis; gene expression; bioinformatics analysis
DO - 10.32604/phyton.2024.055350