Transcriptomics

Dataset Information

0

Dormancy heterogeneity among Arabidopsis thaliana seeds is linked to individual seed size


ABSTRACT: Production of morphologically and physiologically variable seeds is an important strategy that helps plants to survive in unpredictable natural conditions. However, the model plant Arabidopsis thaliana and most agronomically essential crops yield visually homogenous seeds. Using automated phenotype analysis, we observed that in Arabidopsis small seeds tend to have higher primary and secondary dormancy levels when compared to large ones. Transcriptomic analysis revealed distinct gene expression profiles between large and small seeds. Large seeds had higher expression of translation-related genes implicated in germination competence. In contrast, small seeds showed elevated expression of many positive regulators of dormancy, including a key regulator of this process – the DOG1 gene. Differences in DOG1 expression were associated with differential production of its alternative cleavage and polyadenylation isoforms where in small seeds proximal poly(A) site is selected resulting in a short mRNA isoform. Furthermore, single-seed RNA-seq analysis demonstrated that large seeds resemble DOG1 knockout mutant seeds. Finally, on the single seed level, the expression of genes affected by seed size was correlated with the expression of genes positioning seeds on the path towards germination. Our results demonstrate an unexpected link between seed size and dormancy phenotypes in a species producing highly homogenous seed pools, suggesting that the correlation between seed morphology and physiology is more widespread than initially assumed.

ORGANISM(S): Arabidopsis thaliana

PROVIDER: GSE203310 | GEO | 2023/10/16

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2018-06-10 | PXD009392 | Pride
2023-02-01 | GSE208755 | GEO
2023-09-01 | GSE237127 | GEO
2023-09-01 | GSE237220 | GEO
2022-06-27 | GSE185033 | GEO
2023-10-20 | GSE229182 | GEO
2019-05-21 | MTBLS662 | MetaboLights
2014-09-21 | GSE50786 | GEO
2016-01-14 | GSE65471 | GEO
2016-01-14 | E-GEOD-65471 | biostudies-arrayexpress