Identification of key genes in chickpea transcriptomics and the development of ChickpeaOmicsR as a comprehensive resource to advance breeding and genomic studies
| cg.contact | a.mahmoud-ali@cgiar.org | en_US |
| cg.contributor.center | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
| cg.contributor.center | Agricultural Reseach Center, Agricultural Genetic Engineering Research Institute - ARC Egypt-AGERI | en_US |
| cg.contributor.center | Mohammed VI Polytechnic University - UM6P | en_US |
| cg.contributor.center | Mohammed VI Polytechnic University (UM6P), College of Chemical Sciences and Engineering (CCSE), Chemical and Biochemical Sciences (CBS) - UM6P_CCSE_CBS | en_US |
| cg.contributor.funder | Mohammed VI Polytechnic University - UM6P | en_US |
| cg.contributor.project | CODIS - Corporate-Communication and Documentation Information Services | en_US |
| cg.contributor.project-lead-institute | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
| cg.creator.id | Kehel, Zakaria: 0000-0002-1625-043X | en_US |
| cg.identifier.doi | https://doi.org/10.3389/fbinf.2026.1727493 | en_US |
| cg.isijournal | ISI Journal | en_US |
| cg.journal | Frontiers in Bioinformatics | en_US |
| cg.reviewStatus | Peer Review | en_US |
| cg.subject.agrovoc | gwas | en_US |
| cg.subject.agrovoc | chickpea | en_US |
| cg.volume | 6 | en_US |
| dc.contributor | Mousa, Khaled H. | en_US |
| dc.contributor | Abd El-Hak, Asmaa E. | en_US |
| dc.contributor | Korkar, Doaa A. | en_US |
| dc.contributor | Saedwi, Anas M. | en_US |
| dc.contributor | Khaled, Sandy | en_US |
| dc.contributor | Al-Soudy, Al-Sayed | en_US |
| dc.contributor | El Allali, Achraf | en_US |
| dc.contributor | Kehel, Zakaria | en_US |
| dc.contributor | Mokhtar, Morad M. | en_US |
| dc.creator | Alsamman, Alsamman M. | en_US |
| dc.date.accessioned | 2026-09-29T21:06:39Z | |
| dc.date.available | 2026-09-29T21:06:39Z | |
| dc.description.abstract | Introduction: 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. Methods: 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 Chickpea OmicsR, 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. Results: 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. Discussion: The development of Chickpea OmicsR 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. | en_US |
| dc.format | en_US | |
| dc.identifier | https://mel.cgiar.org/reporting/downloadmelspace/hash/fdf4ce661915d3dd04d50eb7a3e47ccf | en_US |
| dc.identifier.citation | 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. (10/3/2026). Identification of key genes in chickpea transcriptomics and the development of ChickpeaOmicsR as a comprehensive resource to advance breeding and genomic studies. Frontiers in Bioinformatics, 6. | en_US |
| dc.identifier.status | Open access | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.11766/70881 | |
| dc.language | en | en_US |
| dc.publisher | Frontiers Media SA | en_US |
| dc.rights | CC-BY-4.0 | en_US |
| dc.source | Frontiers in Bioinformatics;6,(2026) | en_US |
| dc.subject | rna-seq | en_US |
| dc.subject | cicer arietinum l. | en_US |
| dc.subject | differentially expressed genes (degs) | en_US |
| dc.subject | r programming language | en_US |
| dc.title | Identification of key genes in chickpea transcriptomics and the development of ChickpeaOmicsR as a comprehensive resource to advance breeding and genomic studies | en_US |
| dc.type | Journal Article | en_US |
| dcterms.available | 2026-03-10 | en_US |
| dcterms.hasVersion | V5 - 2026-09-29 | en_US |
| dcterms.issued | 2026-03-10 | en_US |
| mel.impact-factor | 3.6 | en_US |
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