Comprehensive evaluation of candidate reference genes for real-time quantitative PCR (RT-qPCR) data normalization in nutri-cereal finger millet [Eleusine Coracana (L.)]

cg.contactp.sudhakarreddy@cgiar.orgen_US
cg.contributor.centerInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.contributor.crpCGIAR Research Program on Grain Legumes and Dryland Cereals - GLDCen_US
cg.contributor.funderCGIAR System Organization - CGIARen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.creator.idBhatnagar - Mathur, Pooja: 0000-0002-4150-8287en_US
cg.identifier.doihttps://dx.doi.org/10.1371/journal.pone.0205668en_US
cg.isijournalISI Journalen_US
cg.issn1932-6203en_US
cg.issue10en_US
cg.journalPLoS ONEen_US
cg.subject.agrovocgenesen_US
cg.subject.agrovoceleusine coracanaen_US
cg.subject.agrovocFinger milleten_US
cg.volume13en_US
dc.contributorG.Dhaware, Mahamayaen_US
dc.contributorReddy, Dumbala Srinivasen_US
dc.contributorPradeep Reddy, Bomminenien_US
dc.contributorDivya, Kummarien_US
dc.contributorSharma, Kiranen_US
dc.contributorBhatnagar - Mathur, Poojaen_US
dc.creatorReddy, P. Sudhakaren_US
dc.date.accessioned2019-11-05T15:55:14Z
dc.date.available2019-11-05T15:55:14Z
dc.description.abstractFinger millet (Eleusine coracana L.) is an annual herbaceous self-pollinating C4 cereal crop of the arid and semi-arid regions of the world. Finger millet is a food security crop proven to have resilience to changing climate and scores very high in nutrition. In the current study, we have assessed sixteen candidate reference genes for their appropriateness for the normalization studies in finger millet subjected to experimental regimes and treatments. Ten candidate reference genes (GAPDH, β-TUB, CYP, EIF4α, TIP41, UBC, G6PD, S24, MACP and MDH) were cloned and six (ACT, ELF1α, PP2A, PT, S21 and TFIID) were mined from the NCBI database as well as from the literature. Expression stability ranking of the finger millet reference genes was validated using four different statistical tools i.e., geNorm, NormFinder, BestKeeper, ΔCt and RefFinder. From the study, we endorse MACP, CYP, EIF4α to be most stable candidate reference genes in all ‘tissues’, whereas PT, TFIID, MACP ranked high across genotypes, β-TUB, CYP, ELF1α were found to be best under abiotic stresses and ‘all samples set’. The study recommends using minimum of two reference genes for RT-qPCR data normalizations in finger millet. All in all, CYP, β-TUB, and EF1α, in combination were found to be best for robust normalizations under most experimental conditions. The best and the least stable genes were validated for confirmation by assessing their appropriateness for normalization studies using EcNAC1 gene. The report provides the first comprehensive list of suitable stable candidate reference genes for nutritional rich cereal finger millet that will be advantageous to gene expression studies in this crop.en_US
dc.formatPDFen_US
dc.identifierhttp://oar.icrisat.org/10898/en_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/095f27e78417b86f3205d1990943a422/v/ab014dd50aec453dce9707e0275a75a1en_US
dc.identifier.citationP. Sudhakar Reddy, Mahamaya G. Dhaware, Dumbala Srinivas Reddy, Bommineni Pradeep Reddy, Kummari Divya, Kiran Sharma, Pooja Bhatnagar - Mathur. (15/10/2018). Comprehensive evaluation of candidate reference genes for real-time quantitative PCR (RT-qPCR) data normalization in nutri-cereal finger millet [Eleusine Coracana (L. )]. PLoS ONE, 13 (10), pp. 1-17.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/10359
dc.languageenen_US
dc.publisherPublic Library of Scienceen_US
dc.rightsCC-BY-4.0en_US
dc.sourcePLoS ONE;13,(2018) Pagination 1-17en_US
dc.subjectdata normalizationen_US
dc.titleComprehensive evaluation of candidate reference genes for real-time quantitative PCR (RT-qPCR) data normalization in nutri-cereal finger millet [Eleusine Coracana (L.)]en_US
dc.typeJournal Articleen_US
dcterms.available2018-10-15en_US
dcterms.extent1-17en_US
mel.impact-factor2.766en_US

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