# Identification of key genes in chickpea transcriptomics and the development of ChickpeaOmicsR as a comprehensive resource to advance breeding and genomic studies

**Authors:** Alsamman M. Alsamman, Khaled H. Mousa, Asmaa E. Abd El-Hak, Doaa A. Korkar, Anas M. Saedwi, Sandy Khaled, Al-Sayed Al-Soudy, Achraf El Allali, Zakaria Kehel, Morad M. Mokhtar

PMC · DOI: 10.3389/fbinf.2026.1727493 · Frontiers in Bioinformatics · 2026-03-10

## TL;DR

The paper introduces ChickpeaOmicsR, a new tool for analyzing chickpea gene data, to help breeders develop more resilient crops.

## Contribution

The novel contribution is the development of ChickpeaOmicsR, the first integrated R package for chickpea multi-omics analysis.

## Key findings

- Drought and heat stress affect cell wall and defense genes in chickpea.
- Cold stress influences circadian rhythm genes in chickpea.
- Fusarium stress activates innate immunity and secondary metabolism pathways.

## Abstract

Chickpea (Cicer arietinum L.) is a key legume crop and a major source of dietary protein in developing countries, yet its productivity is constrained by multiple biotic and abiotic stresses. Advances in RNA-seq and whole-genome sequencing enable detailed exploration of stress-responsive gene expression, but existing resources lack integrated, user-friendly tools for multi-omics analysis in chickpea.

This study analyzed transcriptomic responses to six stress conditions—drought, heat, cold, salinity, Fusarium infection, and developmental stages—using publicly available RNA-seq datasets. We identified differentially expressed genes (DEGs), enriched gene ontology (GO) terms, and protein–protein interaction (PPI) networks. Critically, we developed ChickpeaOmicsR, the first comprehensive R package that automates the integration of transcriptomic, genomic, and proteomic data and standardizes fragmented chickpea gene nomenclature; enables breeders without bioinformatics expertise to perform complex analyses (e.g., DEG identification, PPI visualization, GWAS integration) in minutes; and provides pre-validated datasets and analytical workflows unavailable in existing tools.

Each stress triggered distinct molecular pathways. Drought and heat stress affected cell wall organization and defense responses, while cold stress influenced circadian rhythm genes. Fusarium stress involved pathways related to innate immunity and secondary metabolism. Developmental stages showed the highest transcriptome variability among the conditions tested.

The development of ChickpeaOmicsR addresses critical gaps in chickpea research infrastructure. By providing an integrated and accessible tool that enables complex analyses for breeders without bioinformatics expertise, it accelerates the discovery of stress-resilient genes and the development of improved chickpea varieties.

## Linked entities

- **Diseases:** Fusarium infection (MONDO:0016426)
- **Species:** Cicer arietinum (taxon 3827)

## Full-text entities

- **Diseases:** Fusarium infection (MESH:D060585)
- **Species:** Cicer arietinum (chickpea, species) [taxon 3827]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13022592/full.md

## References

49 references — full list in the complete paper: https://tomesphere.com/paper/PMC13022592/full.md

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Source: https://tomesphere.com/paper/PMC13022592