Temporal Transcriptome Analysis Uncovers Regulatory Modules Programming Embryo Development from Embryonic Morphogenesis to Post-Germination
Wang, Y.-C.; Hsieh, W.-H.; Huang, C.-J.; Jhan, Y.-T.; Zhan, J.; Chang, C.-C.; Hsieh, T.-F.; Lin, J.-Y.
Show abstract
We profiled the soybean seed embryo transcriptome across embryonic development to post-germinative development to understand gene activities and regulatory networks promoting these processes. Transcriptomic landscapes feature highly prevalent transcripts which are categorized into early and late groups with major functions of reserve accumulation and energy generation, respectively, and both functions are dominant during late reserve accumulation as the transitioning stage. During the mid-reserve accumulation, regulatory events simultaneously dominate at the transcriptional and chromatin levels, followed by the emergence of distinct mRNA populations during late reserve accumulation throughout germination. We identified diverse functions conducted by sequentially activated genes across developmental stages. Gene coexpression network analysis reveals modules associated with developmental stages, some of which are enriched in genes with functions involved in specific developmental processes. We identified an early-desiccation-associated gene module, containing most transcription factors responsive to abiotic stress, within which one transcription factor is functionally validated to demonstrate increased drought tolerance in Arabidopsis overexpression lines. Finally, we found that a subset of genes is under purifying selection, surpasses the number of their Arabidopsis germination-specific homologs and most are active before germination from embryonic morphogenesis through dormancy, suggesting a potential role in governing physical dormancy in soybean compared to physiological dormancy in Arabidopsis. Our data represent a step toward identifying genes and regulatory networks in the soybean genome facilitating developmental programs across transition phases to bridge embryonic and germinative development.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Single-cell transcriptomic analysis of pea shoot development and cell-type-specific responses to boron deficiency 96%
- WHIRLY1 regulates aliphatic glucosinolate biosynthesis in early seedling development of Arabidopsis 96%
- Phellem translational landscape throughout secondary development in Arabidopsis roots 96%
Similar papers in this journal
- The drought-responsive ZmFDL1 gene regulates cuticle biosynthesis and cuticle-dependent leaf permeability 95%
- Regulation of Crassulacean Acid Metabolism at the protein level in the CAM plant Kalanchoë laxiflora 95%
- Identification of new growth regulators using cross-species network analysis in plants 95%
Similar papers in this journal
- A pennycress transparent testa 8 knockout mutant has drastic changes in seed coat anatomy and chemical compositions 96%
- Elucidating the unknown transcriptional responses and PHR1 mediated biotic and abiotic stress tolerance during phosphorus-limitation 95%
- INTERMEDIUM-C mediates the shade-induced bud growth arrest in barley 95%
Similar papers in this journal
- ARABIDOPSIS NITRATE REGULATED 1 acts as a negative modulator of seed germination by activating ABI3 expression 96%
- Identification of a novel link connecting indole-3-acetamide with abscisic acid biosynthesis and signaling 95%
- Glucosinolate and phenylpropanoid biosynthesis are linked by proteasome-dependent degradation of PAL 95%
Similar papers in this journal
- Drought and recovery in barley: key gene networks and retrotransposon response. 96%
- Transcriptomic analysis of seed development in Paysonia auriculata (Brassicaceae) identifies genes involved in hydroxy fatty acid biosynthesis and seed maturation 96%
- ABA-dependent and ABA-independent functions of RCAR5/PYL11 in response to cold stress 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.