Introduction Oryza coarctata is a wild relative of rice that has adapted to diverse ecological environments, including high salinity and submergence. Thus, it can provide an important resource for discovering candidate genes/factors involved in tolerance to these stresses. Here, we report a draft genome assembly of 573 Mb comprised of 8877 scaffolds with N50 length of 205 kb. We predicted a total of 50,562 protein‐coding genes, of which a significant fraction was found to be involved in secondary metabolite biosynthesis and hormone signal transduction pathways. Several salinity and submergence stress‐responsive protein‐coding and long noncoding RNAs involved in diverse biological processes were identified using RNA‐sequencing data. Based on small RNA sequencing, we identified 168 unique miRNAs and 3219 target transcripts (coding and noncoding) involved in several biological processes, including abiotic stress responses. Further, whole genome bisulphite sequencing data analysis revealed at least 19%–48% methylcytosines in different sequence contexts and the influence of methylation status on gene expression. The genome assembly along with other datasets have been made publicly available at http://ccbb.jnu.ac.in/ory-coar. Altogether, we provide a comprehensive genomic resource for understanding the regulation of salinity and submergence stress responses and identification of candidate genes/factors involved for functional genomics studies.

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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.