Unknown

Dataset Information

0

Identification of Phosphorus Stress Related Proteins in the Seedlings of Dongxiang Wild Rice (Oryza Rufipogon Griff.) Using Label-Free Quantitative Proteomic Analysis.


ABSTRACT: Phosphorus (P) deficiency tolerance in rice is a complex character controlled by polygenes. Through proteomics analysis, we could find more low P tolerance related proteins in unique P-deficiency tolerance germplasm Dongxiang wild rice (Oryza Rufipogon, DXWR), which will provide the basis for the research of its regulation mechanism. In this study, a proteomic approach as well as joint analysis with transcriptome data were conducted to identify potential unique low P response genes in DXWR during seedlings. The results showed that 3589 significant differential accumulation proteins were identified between the low P and the normal P treated root samples of DXWR. The degree of change was more than 1.5 times, including 60 up-regulated and 15 downregulated proteins, 24 of which also detected expression changes of more than 1.5-fold in the transcriptome data. Through quantitative trait locus (QTLs) matching analysis, seven genes corresponding to the significantly different expression proteins identified in this study were found to be uncharacterized and distributed in the QTLs interval related to low P tolerance, two of which (LOC_Os12g09620 and LOC_Os03g40670) were detected at both transcriptome and proteome levels. Based on the comprehensive analysis, it was found that DXWR could increase the expression of purple acid phosphatases (PAPs), membrane location of P transporters (PTs), rhizosphere area, and alternative splicing, and it could decrease reactive oxygen species (ROS) activity to deal with low P stress. This study would provide some useful insights in cloning the P-deficiency tolerance genes from wild rice, as well as elucidating the molecular mechanism of low P resistance in DXWR.

SUBMITTER: Deng Q 

PROVIDER: S-EPMC8774503 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC5853122 | biostudies-literature
| S-EPMC4709063 | biostudies-literature
2016-01-13 | GSE73181 | GEO
| S-EPMC8622159 | biostudies-literature
2016-01-13 | E-GEOD-73181 | biostudies-arrayexpress
| S-EPMC6405534 | biostudies-literature
| S-EPMC3875430 | biostudies-literature
| S-EPMC8037696 | biostudies-literature
| S-EPMC2575888 | biostudies-literature
| S-EPMC6073244 | biostudies-literature