Fine mapping and transcriptomics reveal OSG function in regulation of grain size and pollen fertility in rice (Oryza sativa)

Grain shape is a critical factor that directly influences rice yield and quality, however, the molecular mechanisms underlying the regulation of grain shape development remains elusive. In this study, we characterized an oval-shaped grain mutant, osg, from the rice radiation mutagenesis mutant library via 60Co-γ ray irradiation. Compared to ZH11, the osg mutant exhibited decreased grain length and thousand-grain weight but increased grain width and thickness, while displaying significantly reduced plant height, tiller number, pollen viability, and seed setting rate. Map-based cloning revealed that OsSRS3, a known regulator of rice grain size and fertility, was identified as the candidate gene for OSG. The loss-of-function mutant in OsSRS3 exhibit abnormal phenotypes similar to that in osg. Comparative transcriptome sequencing of young panicles from ZH11 and osg showed that up-regulated genes were predominantly enriched in pathways related to plant hormone signal transduction and MAPK signaling, whereas down-regulated genes were mostly associated with starch and sucrose metabolism. Further analysis of differentially expressed genes (DEGs) within the pathways revealed that multiple DEGs in osg, such as OsJAZ11, OsUgp1 and OsUgp2, have been functionally characterized, and their mutant phenotypes align with those observed in osg. These findings provide a crucial foundation for elucidating the molecular mechanisms by which the SRS3 gene regulates grain size and fertility in rice.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2026-01-08
DOI
https://doi.org/10.1371/journal.pone.0338401
Primary Topic
Plant Reproductive Biology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fine mapping and transcriptomics reveal OSG function in regulation of grain size and pollen fertility in rice (Oryza sativa)

Shuya Wei, Weichen Xu, Xianyang Zhang, Sijie Zhao et al.
PLoS ONE
Plant Reproductive Biology
article

Fine mapping and transcriptomics reveal OSG function in regulation of grain size and pollen fertility in rice (Oryza sativa)

Shuya Wei, Weichen Xu, Xianyang Zhang, Sijie Zhao, Siyue Zhang, Heming Zhao, Mei Liu, Bingxu Chen, Lei Wang, Sijia Fang
article en

Abstract

Grain shape is a critical factor that directly influences rice yield and quality, however, the molecular mechanisms underlying the regulation of grain shape development remains elusive. In this study, we characterized an oval-shaped grain mutant, osg, from the rice radiation mutagenesis mutant library via 60Co-γ ray irradiation. Compared to ZH11, the osg mutant exhibited decreased grain length and thousand-grain weight but increased grain width and thickness, while displaying significantly reduced plant height, tiller number, pollen viability, and seed setting rate. Map-based cloning revealed that OsSRS3, a known regulator of rice grain size and fertility, was identified as the candidate gene for OSG. The loss-of-function mutant in OsSRS3 exhibit abnormal phenotypes similar to that in osg. Comparative transcriptome sequencing of young panicles from ZH11 and osg showed that up-regulated genes were predominantly enriched in pathways related to plant hormone signal transduction and MAPK signaling, whereas down-regulated genes were mostly associated with starch and sucrose metabolism. Further analysis of differentially expressed genes (DEGs) within the pathways revealed that multiple DEGs in osg, such as OsJAZ11, OsUgp1 and OsUgp2, have been functionally characterized, and their mutant phenotypes align with those observed in osg. These findings provide a crucial foundation for elucidating the molecular mechanisms by which the SRS3 gene regulates grain size and fertility in rice.

PLoS ONEVol. 21(1)
Anhui University of Science and Technology (CN), Wuhan Institute of Bioengineering (CN), Anhui Science and Technology University (CN)
Zero hunger
Openalex Percentile: Top 93%
Plant Reproductive Biology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.