Function identification and characterization of Oryza sativa ZRT and IRT-like proteins computationally for nutrition and biofortification in rice.
J Biomol Struct Dyn
; 41(15): 7490-7510, 2023.
Article
in En
| MEDLINE
| ID: mdl-36111599
ABSTRACT
Zinc plays a very critical role and function in all organisms. Its deficiency can cause a serious issue. In Oryza sativa, the ZRT/IRT transporter-like proteins play a role in the zinc metal uptake and transport. Few OsZIPs genes have been validated and characterized for their biological functions and most of OsZIPs are not well physiologically, biochemically and phenotypically characterized. In the current study, they analyzed for their function through subcellular localization, phylogenetic analysis, homology modeling, expression analysis, protein-protein interaction (PPI) network prediction, and prediction of their binding sites. Hierarchical clustering of OsZIP genes based on different anatomical parts and developmental stages also orthologs prediction was identified. The presence of SNPs, SSRs, ESTs, FSTs, MPSS, and SAGE tags were analyzed for useful development of markers. SNPs were identified in all OsZIPs genes and each gene was further classified based on their number and position in the 3'UTR and 5'UTR regions of the gene-specific sequences. Binding clusters and their location on the protein sequences were predicted. We found Changing in residues number and position which were due to partial overlapping and sequence alignment, but they share the same mechanism of binding and transporting Zinc. A wide range of CRISPR Cas9 gRNAs was designed based on single nucleotide polymorphism (SNP) for each OsZIP transporter gene for well-function identification and characterization with genome-wide association studies. Hence this study would provide useful information, understanding, and predicting molecular insights for the future studies that will help for improvement of nutritional quality of rice varieties.Communicated by Ramaswamy H. Sarma.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Type of study:
Diagnostic_studies
/
Prognostic_studies
Language:
En
Journal:
J Biomol Struct Dyn
Year:
2023
Document type:
Article
Affiliation country:
India