Drought has been identified as a major threat for global crop production worldwide. Phosphofructokinase (PFK) is vital for sugar metabolism. During phosphorylation, plants have two enzymes: ATP-dependent phosphofructokinase (PFK) and pyrophosphate-dependent fructose-6-phosphate phosphotransferase (PFP). Genome-wide identification led to the identification of 80 PFK genes, 26 genes in G. hirsutum and G. barbadense, and 14 genes in G. arboreum and G. raimondii. Phylogenetic, gene structure, and motif analyses showed that PFK genes were grouped into two main categories, namely, PFK and PFP, with 18 and 8 genes in the allotetraploid species and 10 PFK and 4 PFP genes in the diploid species, respectively. Using the RNA-seq expressions of 26 genes from GhPFK, a co-expression network analysis was performed to identify the hub genes. GhPFK04, GhPFK05, GhPFK09, GhPFK11, GhPFK13, GhPFK14, and GhPFK17 in leaves and GhPFK02, GhPFK09, GhPFK11, GhPFK15, GhPFK16, and GhPFK17 in root tissues were found as hub genes. RT-qPCR analysis validated the expressions of identified hub genes. Interestingly, GhPFK11 and GhPFK17 were identified as common hub genes, and these might be the true candidate genes involved in the drought stress tolerance. In the KEGG enrichment analysis, amino acids such as L-valine, L-histidine, L-glutamine, L-serine, L-homoserine, L-methionine, L-cysteine, and gluconic acid were significantly upregulated, whereas sugars, mainly fructose-1-phosphate, D-mannitol, D-sorbitol, dulcitol, and lactose, were significantly downregulated during drought stress. Genome-wide analysis paves the way for a deeper understanding of the PFK genes and establishes the groundwork for future research into PFK's role in enhancing drought stress tolerance and sugar metabolism in cotton.
Genome-Wide Identification and Expression Analysis Elucidates the Potential Role of PFK Gene Family in Drought Stress Tolerance and Sugar Metabolism in Cotton.
全基因组鉴定和表达分析阐明了PFK基因家族在棉花耐旱性和糖代谢中的潜在作用
阅读:10
作者:Mehari Teame Gereziher, Xu Yanchao, Umer Muhammad Jawad, Hui Fang, Cai Xiaoyan, Zhou Zhongli, Hou Yuqing, Wang Kai, Wang Baohua, Liu Fang
| 期刊: | Frontiers in Genetics | 影响因子: | 2.800 |
| 时间: | 2022 | 起止号: | 2022 Jun 20; 13:922024 |
| doi: | 10.3389/fgene.2022.922024 | 研究方向: | 代谢 |
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
