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Genome-wide identification and data mining reveals major-latex protein (MLP) from the PR-10 protein family played defense-related roles against phytopathogenic challenges in cassava (Manihot esculenta Crantz).
- Source :
-
Genetica [Genetica] 2024 Dec; Vol. 152 (4-6), pp. 145-158. Date of Electronic Publication: 2024 Aug 31. - Publication Year :
- 2024
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Abstract
- Despite being identified in previous articles, the pathogenesis-related 10 (PR-10) protein remains relatively overlooked and has yet to be fully characterized in numerous plant species. This research employs a comprehensive data mining approach to in silico characterize PR-10 proteins in cassava, a vital crop plant globally. In this study, the focus was on in silico identified 53 cassava PR-10 proteins, which can be categorized into two main subgroups: 34 major latex proteins (MLPs) and 13 major allergen proteins, Pru ar 1, based on their phylogenetic relationship. The genome collinearity analysis with the rubber tree showed a possible evolutionary relationship of the PR-10 gene between these two Euphorbiaceae species, specifically on their chromosome 15. Notably, MLP423 and other MLP proteins were identified in various previously published cassava transcriptome datasets in response to biotic treatments from diverse phytopathogens, including anthracnose fungus, viruses, and bacterial blight. Ligand prediction and molecular docking of three MLP423 proteins have revealed potential interaction with cytokinin and abscisic acid hormones. Their expressions and predicted binding affinities are discussed here, highlighting their role as contributors to cassava's defense network against key diseases.<br /> (© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)
- Subjects :
- Disease Resistance genetics
Genome, Plant
Molecular Docking Simulation
Gene Expression Regulation, Plant
Latex metabolism
Manihot genetics
Manihot microbiology
Plant Proteins genetics
Plant Proteins metabolism
Phylogeny
Data Mining
Plant Diseases microbiology
Plant Diseases genetics
Plant Diseases immunology
Subjects
Details
- Language :
- English
- ISSN :
- 1573-6857
- Volume :
- 152
- Issue :
- 4-6
- Database :
- MEDLINE
- Journal :
- Genetica
- Publication Type :
- Academic Journal
- Accession number :
- 39215788
- Full Text :
- https://doi.org/10.1007/s10709-024-00211-6