» Articles » PMID: 37454047

Identification of Core Genes Associated with Different Phosphorus Levels in Quinoa Seedlings by Weighted Gene Co-expression Network Analysis

Overview
Journal BMC Genomics
Publisher Biomed Central
Specialty Genetics
Date 2023 Jul 15
PMID 37454047
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Quinoa is a highly nutritious and novel crop that is resistant to various abiotic stresses. However, its growth and development is restricted due to its limited utilization of soil phosphorus. Studies on the levels of phosphorus in quinoa seedlings are limited; therefore, we analyzed transcriptome data from quinoa seedlings treated with different concentrations of phosphorus.

Results: To identify core genes involved in responding to various phosphorus levels, the weighted gene co-expression network analysis method was applied. From the 12,085 expressed genes, an analysis of the gene co-expression network was done. dividing the expressed genes into a total of twenty-five different modules out of which two modules were strongly correlated with phosphorus levels. Subsequently we identified five core genes that correlated strongly either positively or negatively with the phosphorus levels. Gene ontology and assessments of the Kyoto Encyclopedia of Genes and Genomes have uncovered important biological processes and metabolic pathways that are involved in the phosphorus level response.

Conclusions: We discovered crucial new core genes that encode proteins from various transcription factor families, such as MYB, WRKY, and ERF, which are crucial for abiotic stress resistance. This new library of candidate genes associated with the phosphorus level responses in quinoa seedlings will help in breeding varieties that are tolerant to phosphorus levels.

Citing Articles

Identification and characterization of the Quinoa AP2/ERF gene family and their expression patterns in response to salt stress.

Bakhtari B, Razi H, Alemzadeh A, Dadkhodaie A, Moghadam A Sci Rep. 2024; 14(1):29529.

PMID: 39604476 PMC: 11603269. DOI: 10.1038/s41598-024-81046-1.


Identification and core gene-mining of Weighted Gene Co-expression Network Analysis-based co-expression modules related to flood resistance in quinoa seedlings.

Wang X, Bai Y, Zhang L, Jiang G, Zhang P, Liu J BMC Genomics. 2024; 25(1):728.

PMID: 39069616 PMC: 11285454. DOI: 10.1186/s12864-024-10638-y.


Transcriptomic Analysis of the Response of the Toxic Dinoflagellate to Phosphorous Limitation.

Wan X, Yao G, Wang K, Liu Y, Wang F, Jiang H Microorganisms. 2023; 11(9).

PMID: 37764060 PMC: 10535992. DOI: 10.3390/microorganisms11092216.

References
1.
Tang Y, Li M, Wang J, Pan Y, Wu F . CytoNCA: a cytoscape plugin for centrality analysis and evaluation of protein interaction networks. Biosystems. 2014; 127:67-72. DOI: 10.1016/j.biosystems.2014.11.005. View

2.
Das D, Paries M, Hobecker K, Gigl M, Dawid C, Lam H . PHOSPHATE STARVATION RESPONSE transcription factors enable arbuscular mycorrhiza symbiosis. Nat Commun. 2022; 13(1):477. PMC: 8789775. DOI: 10.1038/s41467-022-27976-8. View

3.
Pariasca-Tanaka J, Chin J, Drame K, Dalid C, Heuer S, Wissuwa M . A novel allele of the P-starvation tolerance gene OsPSTOL1 from African rice (Oryza glaberrima Steud) and its distribution in the genus Oryza. Theor Appl Genet. 2014; 127(6):1387-98. PMC: 4035548. DOI: 10.1007/s00122-014-2306-y. View

4.
Su G, Morris J, Demchak B, Bader G . Biological network exploration with Cytoscape 3. Curr Protoc Bioinformatics. 2014; 47:8.13.1-24. PMC: 4174321. DOI: 10.1002/0471250953.bi0813s47. View

5.
Villacres E, Quelal M, Galarza S, Iza D, Silva E . Nutritional Value and Bioactive Compounds of Leaves and Grains from Quinoa ( Willd.). Plants (Basel). 2022; 11(2). PMC: 8777597. DOI: 10.3390/plants11020213. View