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Selection and Validation of Candidate Reference Genes for Gene Expression Analysis by RT-qPCR in Rubus

Due to the lack of effective and stable reference genes, studies on functional genes in Rubus, a genus of economically important small berry crops, have been greatly limited. To select the best internal reference genes of different types, we selected four representative cultivars of blackberry and r...

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Autores principales: Wu, Yaqiong, Zhang, Chunhong, Yang, Haiyan, Lyu, Lianfei, Li, Weilin, Wu, Wenlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508773/
https://www.ncbi.nlm.nih.gov/pubmed/34638877
http://dx.doi.org/10.3390/ijms221910533
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author Wu, Yaqiong
Zhang, Chunhong
Yang, Haiyan
Lyu, Lianfei
Li, Weilin
Wu, Wenlong
author_facet Wu, Yaqiong
Zhang, Chunhong
Yang, Haiyan
Lyu, Lianfei
Li, Weilin
Wu, Wenlong
author_sort Wu, Yaqiong
collection PubMed
description Due to the lack of effective and stable reference genes, studies on functional genes in Rubus, a genus of economically important small berry crops, have been greatly limited. To select the best internal reference genes of different types, we selected four representative cultivars of blackberry and raspberry (red raspberry, yellow raspberry, and black raspberry) as the research material and used RT-qPCR technology combined with three internal stability analysis software programs (geNorm, NormFinder, and BestKeeper) to analyze 12 candidate reference genes for the stability of their expression. The number of most suitable internal reference genes for different cultivars, tissues, and fruit developmental stages of Rubus was calculated by geNorm software to be two. Based on the results obtained with the three software programs, the most stable genes in the different cultivars were RuEEF1A and Ru18S. Finally, to validate the reliability of selected reference genes, the expression pattern of the RuCYP73A gene was analyzed, and the results highlighted the importance of appropriate reference gene selection. RuEEF1A and Ru18S were screened as reference genes for their relatively stable expression, providing a reference for the further study of key functional genes in blackberry and raspberry and an effective tool for the analysis of differential gene expression.
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spelling pubmed-85087732021-10-13 Selection and Validation of Candidate Reference Genes for Gene Expression Analysis by RT-qPCR in Rubus Wu, Yaqiong Zhang, Chunhong Yang, Haiyan Lyu, Lianfei Li, Weilin Wu, Wenlong Int J Mol Sci Article Due to the lack of effective and stable reference genes, studies on functional genes in Rubus, a genus of economically important small berry crops, have been greatly limited. To select the best internal reference genes of different types, we selected four representative cultivars of blackberry and raspberry (red raspberry, yellow raspberry, and black raspberry) as the research material and used RT-qPCR technology combined with three internal stability analysis software programs (geNorm, NormFinder, and BestKeeper) to analyze 12 candidate reference genes for the stability of their expression. The number of most suitable internal reference genes for different cultivars, tissues, and fruit developmental stages of Rubus was calculated by geNorm software to be two. Based on the results obtained with the three software programs, the most stable genes in the different cultivars were RuEEF1A and Ru18S. Finally, to validate the reliability of selected reference genes, the expression pattern of the RuCYP73A gene was analyzed, and the results highlighted the importance of appropriate reference gene selection. RuEEF1A and Ru18S were screened as reference genes for their relatively stable expression, providing a reference for the further study of key functional genes in blackberry and raspberry and an effective tool for the analysis of differential gene expression. MDPI 2021-09-29 /pmc/articles/PMC8508773/ /pubmed/34638877 http://dx.doi.org/10.3390/ijms221910533 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wu, Yaqiong
Zhang, Chunhong
Yang, Haiyan
Lyu, Lianfei
Li, Weilin
Wu, Wenlong
Selection and Validation of Candidate Reference Genes for Gene Expression Analysis by RT-qPCR in Rubus
title Selection and Validation of Candidate Reference Genes for Gene Expression Analysis by RT-qPCR in Rubus
title_full Selection and Validation of Candidate Reference Genes for Gene Expression Analysis by RT-qPCR in Rubus
title_fullStr Selection and Validation of Candidate Reference Genes for Gene Expression Analysis by RT-qPCR in Rubus
title_full_unstemmed Selection and Validation of Candidate Reference Genes for Gene Expression Analysis by RT-qPCR in Rubus
title_short Selection and Validation of Candidate Reference Genes for Gene Expression Analysis by RT-qPCR in Rubus
title_sort selection and validation of candidate reference genes for gene expression analysis by rt-qpcr in rubus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508773/
https://www.ncbi.nlm.nih.gov/pubmed/34638877
http://dx.doi.org/10.3390/ijms221910533
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