Proteomics

Dataset Information

0

Quantitative proteomic analysis of the role of miRNA156 in alfalfa under drought stress


ABSTRACT: Alfalfa is the most produced perennial forage crop in Canada. Drought stress is a major form of abiotic stress, affecting its productivity and annual yield. A small RNA, miR156, plays a major role in drought tolerance by downregulating downstream SPL genes, but its effects at the proteome level are unknown. In this study, the protein level perturbations of miR156 overexpression (A8) and empty vector (EV) control genotypes were compared under drought stress. Using label-free quantification, 3,000 protein groups were identified, of which 68 were upregulated in A8 and 84 were downregulated relative to EV under control conditions. Conversely, under drought stress, 610 proteins were upregulated and only 52 proteins were downregulated in A8 relative to EV. Functional analysis using PlantRegMap showed that the enriched proteins are likely involved in biological and molecular processes including antioxidant response, response to stress, signal transduction and biosynthesis of secondary metabolites. These proteins/pathways might be involved in the enhancement of drought stress tolerance mediated by miR156. Protein groups related to signaling, such as MAP kinase, calcium-dependent protein kinase, protein phosphatase 2C, and transcriptional regulators including bZIP and zinc finger proteins were found to be differentially expressed when a search was conducted against a drought stress gene database. The proteomic dataset was validated by immunoblotting of selected proteins. The results of this study provide a better understanding and insight into the role of miR156 in drought stress tolerance in alfalfa at the proteomic level.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Medicago Sativa (alfalfa)

TISSUE(S): Leaf

SUBMITTER: Frédéric Marsolais  

LAB HEAD: Frédéric Marsolais

PROVIDER: PXD028329 | Pride | 2023-10-19

REPOSITORIES: Pride

Similar Datasets

2013-04-23 | E-GEOD-46253 | biostudies-arrayexpress
| PRJNA598830 | ENA
2012-04-30 | E-GEOD-5978 | biostudies-arrayexpress
2016-04-27 | GSE80699 | GEO
2017-12-31 | GSE89185 | GEO
2015-06-15 | GSE69875 | GEO
2017-02-28 | GSE76322 | GEO
2024-03-20 | GSE232522 | GEO
2020-12-01 | GSE107575 | GEO
2017-04-22 | E-GEOD-56964 | biostudies-arrayexpress