An integrated transcriptome mapping the regulatory network of coding and long non-coding RNAs provides a genomics resource in chickpea
- PMID: 36261617
- PMCID: PMC9581958
- DOI: 10.1038/s42003-022-04083-4
An integrated transcriptome mapping the regulatory network of coding and long non-coding RNAs provides a genomics resource in chickpea
Abstract
Large-scale transcriptome analysis can provide a systems-level understanding of biological processes. To accelerate functional genomic studies in chickpea, we perform a comprehensive transcriptome analysis to generate full-length transcriptome and expression atlas of protein-coding genes (PCGs) and long non-coding RNAs (lncRNAs) from 32 different tissues/organs via deep sequencing. The high-depth RNA-seq dataset reveal expression dynamics and tissue-specificity along with associated biological functions of PCGs and lncRNAs during development. The coexpression network analysis reveal modules associated with a particular tissue or a set of related tissues. The components of transcriptional regulatory networks (TRNs), including transcription factors, their cognate cis-regulatory motifs, and target PCGs/lncRNAs that determine developmental programs of different tissues/organs, are identified. Several candidate tissue-specific and abiotic stress-responsive transcripts associated with quantitative trait loci that determine important agronomic traits are also identified. These results provide an important resource to advance functional/translational genomic and genetic studies during chickpea development and environmental conditions.
© 2022. The Author(s).
Conflict of interest statement
The authors declare no competing interests.
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References
-
- Tiwari BK, Tripathi PN. Yield gap analysis of chickpea (Cicer arietinum) through front line demonstration on farmer’s fields. J. Rural Agric. Res. 2014;14:5–8.
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