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Class III peroxidase (PRX) genes play essential roles in various processes, such as auxin catabolism, removal of H2O2, crosslinking cell wall components, and response to biotic and abiotic stresses. In this study, we identified 166, 78 and 89 PRX genes from G. hirsutum, G. arboretum and G. raimondii, respectively. These PRX genes were classified into seven subfamilies based on phylogenetic tree analysis and the classification of PRX genes in Arabidopsis. Segmental duplication and purifying selection were the major factors driving the evolution of GhPRXs. GO and KEGG enrichment analysis revealed that GhPRX genes were mainly associated with responding to oxidative stresses, peroxidase activities and phenylpropanoid biosynthesis pathways. Transcriptome data analysis showed that GhPRX genes expression were significantly different in microspore development between the sterility line-JinA and the maintainer line MB177. We confirmed the up-regulation of GhPRX107 and down-regulation of GhPRX128 in the sterile line compared to its maintainer line using qRT-PCR, suggesting their roles in pollen fertility. In addition, silencing GhPRX107 in cotton showed a significant decrease of the reactive oxygen species (ROS) levels of microsporocyte stage anthers compared to control. Overexpressing GhPRX107 in Arabidopsis significantly increased the ROS levels of anthers compared to wild type. In conclusion, we identified GhPRX107 as a determinant of ROS levels in anther. This work sets a foundation for PRX studies in pollen development.
Pubmed ID: 35795174
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Database of annotations of functional units in proteins including multiple sequence alignment models for ancient domains and full-length proteins. This collection of models includes 3D structures that display the sequence/structure/function relationships in proteins. It also includes alignments of the domains to known three-dimensional protein structures in the MMDB database. The source databases are Pfam, Smart, and COG. Users can identify amino acids in protein sequences with the resources available as well as view single sequences embedded within multiple sequence alignments.
View all literature mentionsPortal which provides access to scientific databases and software tools (i.e., resources) in different areas of life sciences including proteomics, genomics, phylogeny, systems biology, population genetics, transcriptomics etc. It contains resources from many different SIB groups as well as external institutions.
View all literature mentionsWeb application for prediction of the presence and location of signal peptide cleavage sites in amino acid sequences from different organisms. The method incorporates a prediction of cleavage sites and a signal peptide/non-signal peptide prediction based on a combination of several artificial neural networks.
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