000125320 001__ 125320 000125320 005__ 20241125101153.0 000125320 0247_ $$2doi$$a10.3390/ijms24033052 000125320 0248_ $$2sideral$$a132933 000125320 037__ $$aART-2023-132933 000125320 041__ $$aeng 000125320 100__ $$aMedina Lozano, Inés 000125320 245__ $$aSelection of novel reference genes by RNA-Seq and their evaluation for normalising real-time qPCR expression data of anthocyanin-related genes in lettuce and wild relatives 000125320 260__ $$c2023 000125320 5060_ $$aAccess copy available to the general public$$fUnrestricted 000125320 5203_ $$aLettuce is a popular vegetable source of bioactive compounds, like anthocyanins, powerful antioxidants present in red and semi-red varieties. Selection of reliable reference genes (RGs) for the normalization of real-time quantitative PCR (qPCR) data is crucial to obtain accurate gene expression results. Among the genes with totally unrelated biological functions, six candidate RGs (ADF2, CYB5, iPGAM, SCL13, TRXL3-3, and VHA-H) with low variation in expression according to RNA-seq analyses, were selected for future expression studies of anthocyanin-related genes in three different experiments: leaf colour comparison (green vs. red) in commercial varieties; tissue comparison (leaf vs. stem) in a wild relative; and drought stress experiment in commercial and traditional varieties, and a wild relative. Expression profiles of the candidate RGs were obtained by qPCR and their stability was assessed by four different analytical tools, geNorm, NormFinder, BestKeeper, and Delta Ct method, all integrated in RefFinder. All results considered, we recommend CYB5 to be used as RG for the leaf colour experiment and TRXL3-3 for the tissue and drought stress ones, as they were the most stable genes in each case. RNA-seq is useful to preselect novel RGs although validation by qPCR is still advisable. These results provide helpful information for gene expression studies in Lactuca spp. under the described conditions. 000125320 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/A12-17R$$9info:eu-repo/grantAgreement/ES/DGA/LMP148-21$$9info:eu-repo/grantAgreement/ES/DGA/LMP164-18$$9info:eu-repo/grantAgreement/ES/INIA/RTA2017-00093-00-00 000125320 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000125320 590__ $$a4.9$$b2023 000125320 592__ $$a1.179$$b2023 000125320 591__ $$aBIOCHEMISTRY & MOLECULAR BIOLOGY$$b66 / 313 = 0.211$$c2023$$dQ1$$eT1 000125320 593__ $$aMedicine (miscellaneous)$$c2023$$dQ1 000125320 591__ $$aCHEMISTRY, MULTIDISCIPLINARY$$b68 / 231 = 0.294$$c2023$$dQ2$$eT1 000125320 593__ $$aPhysical and Theoretical Chemistry$$c2023$$dQ1 000125320 593__ $$aComputer Science Applications$$c2023$$dQ1 000125320 593__ $$aInorganic Chemistry$$c2023$$dQ1 000125320 593__ $$aSpectroscopy$$c2023$$dQ1 000125320 593__ $$aOrganic Chemistry$$c2023$$dQ1 000125320 593__ $$aMolecular Biology$$c2023$$dQ2 000125320 593__ $$aCatalysis$$c2023$$dQ2 000125320 594__ $$a8.1$$b2023 000125320 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000125320 700__ $$aArnedo, María Soledad 000125320 700__ $$aGrimplet, Jérôme$$uUniversidad de Zaragoza 000125320 700__ $$0(orcid)0000-0001-7297-1699$$aDíaz, Aurora$$uUniversidad de Zaragoza 000125320 7102_ $$15011$$2705$$aUniversidad de Zaragoza$$bDpto. CC.Agrar.y Medio Natural$$cÁrea Producción Vegetal 000125320 773__ $$g24, 3 (2023), 3052 [14 pp]$$pInt. j. mol. sci.$$tInternational Journal of Molecular Sciences$$x1661-6596 000125320 8564_ $$s2334170$$uhttps://zaguan.unizar.es/record/125320/files/texto_completo.pdf$$yVersión publicada 000125320 8564_ $$s2761120$$uhttps://zaguan.unizar.es/record/125320/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000125320 909CO $$ooai:zaguan.unizar.es:125320$$particulos$$pdriver 000125320 951__ $$a2024-11-22-12:07:59 000125320 980__ $$aARTICLE