Toward unveiling transcriptome dynamics and regulatory modules at the maternal/filial interface of developing maize kernel.
Juan HeJincang WangZhiyong ZhangPublished in: The Plant journal : for cell and molecular biology (2024)
The basal region of maize (Zea mays) kernels, which includes the pedicel, placenta-chalazal, and basal endosperm transfer layers, serves as the maternal/filial interface for nutrient transfer from the mother plant to the developing seed. However, transcriptome dynamics of this maternal/filial interface remain largely unexplored. To address this gap, we conducted high-temporal-resolution RNA sequencing of the basal and upper kernel regions between 4 and 32 days after pollination and deeply analyzed transcriptome dynamics of the maternal/filial interface. Utilizing 790 specifically and highly expressed genes in the basal region, we performed the gene ontology (GO) term and weighted gene co-expression network analyses. In the early-stage basal region, we identified five MADS-box transcription factors (TFs) as hubs. Their homologs have been demonstrated as pivotal regulators at the maternal/filial interface of rice or Arabidopsis, suggesting their potential roles in maize kernel development. In the filling-stage basal region, numerous GO terms associated with transcriptional regulation and transporters are significantly enriched. Furthermore, we investigated the molecular function of three hub TFs. Through genome-wide DNA affinity purification sequencing combined with promoter transactivation assays, we suggested that these three TFs act as regulators of 10 basal-specific transporter genes involved in the transfer of sugars, amino acids, and ions. This study provides insights into transcriptomic dynamic and regulatory modules of the maternal/filial interface. In the future, genetic investigation of these hub regulators must advance our understanding of maternal/filial interface development and function.
Keyphrases
- genome wide
- transcription factor
- birth weight
- single cell
- pregnancy outcomes
- dna methylation
- genome wide identification
- early stage
- rna seq
- copy number
- gestational age
- gene expression
- network analysis
- physical activity
- weight gain
- poor prognosis
- pregnant women
- risk assessment
- amino acid
- high throughput
- binding protein
- long non coding rna
- computed tomography
- human health
- high resolution
- circulating tumor cells
- preterm birth