ArticlePloS one2016
Identification and Validation of Reference Genes and Their Impact on Normalized Gene Expression Studies across Cultivated and Wild Cicer Species.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
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Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Screening and Identification of Reference Genes Under Different Conditions and Growth Stages ofInternational journal of molecular sciences · 2025Article
- A transcription factor gene CaMYB114 associated with black seed coat in chickpea.BMC plant biology · 2025Article
- Identification of best housekeeping gene for normalization in qRT-PCR data under different development stages and stress conditions in Vigna mungo.Scientific reports · 2025Article
- Article
- Topical Application of Cocktail dsRNA Induces Plant Resistance Against Bean Common Mosaic Virus (BCMV).Applied biochemistry and biotechnology · 2025Article
- Alterations in starch, sucrose, and abscisic acid metabolism under drought stress in contrasting genotypes of chickpea.Journal of biosciences · 2025Article
- Genome-wide identification and expression profiling of growth‑regulating factor (GRF) and GRF‑interacting factor (GIF) gene families in chickpea and pigeonpea.Scientific reports · 2024Article
- Validation of reference gene stability for normalization of RT-qPCR in Phytophthora capsici Leonian during its interaction with Piper nigrum L.Scientific reports · 2024Article
- Characterizing reference genes for high-fidelity gene expression analysis under different abiotic stresses and elicitor treatments in fenugreek leaves.Plant methods · 2024Article
- Reference genes for Eucalyptus spp. under Beauveria bassiana inoculation and subsequently infestation by the galling wasp Leptocybe invasa.Scientific reports · 2024Article
- Genome-wide transcript expression analysis reveals major chickpea and lentil genes associated with plant branching.Frontiers in plant science · 2024Article
- Shoot transcriptome revealed widespread differential expression and potential molecular mechanisms of chickpea (Frontiers in microbiology · 2023Article
- Transcriptome Analysis Reveals Contrasting Plant Responses ofInternational journal of molecular sciences · 2022Article
- EndophyticFrontiers in microbiology · 2022Article
- Identification of two chickpea multidrug and toxic compound extrusion transporter genes transcriptionally upregulated upon aluminum treatment in root tips.Frontiers in plant science · 2022Article
- Identification of Reference Genes for Reverse Transcription-Quantitative PCR Analysis of Ginger Under Abiotic Stress and for Postharvest Biology Studies.Frontiers in plant science · 2022Article
- Fine Mapping of a Vigor QTL in Chickpea (Frontiers in plant science · 2022Article
- Thermopriming-Induced Autophagy in Shoot Apical Meristem of Arabidopsis.Iranian journal of biotechnology · 2021Article
- Spatio-temporal selection of reference genes in the two congeneric species of Glycyrrhiza.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative Real-Time PCR (qPCR) is a preferred and reliable method for accurate quantification of gene expression to understand precise gene functions. A total of 25 candidate reference genes including traditional and new generation reference genes were selected and evaluated in a diverse set of chickpea samples. The samples used in this study included nine chickpea genotypes (Cicer spp.) comprising of cultivated and wild species, six abiotic stress treatments (drought, salinity, high vapor pressure deficit, abscisic acid, cold and heat shock), and five diverse tissues (leaf, root, flower, seedlings and seed). The geNorm, NormFinder and RefFinder algorithms used to identify stably expressed genes in four sample sets revealed stable expression of UCP and G6PD genes across genotypes, while TIP41 and CAC were highly stable under abiotic stress conditions. While PP2A and ABCT genes were ranked as best for different tissues, ABCT, UCP and CAC were most stable across all samples. This study demonstrated the usefulness of new generation reference genes for more accurate qPCR based gene expression quantification in cultivated as well as wild chickpea species. Validation of the best reference genes was carried out by studying their impact on normalization of aquaporin genes PIP1;4 and TIP3;1, in three contrasting chickpea genotypes under high vapor pressure deficit (VPD) treatment. The chickpea TIP3;1 gene got significantly up regulated under high VPD conditions with higher relative expression in the drought susceptible genotype, confirming the suitability of the selected reference genes for expression analysis. This is the first comprehensive study on the stability of the new generation reference genes for qPCR studies in chickpea across species, different tissues and abiotic stresses.
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