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Identification and validation of reference genes for real-time quantitative RT-PCR analysis in jute

BACKGROUND: With the availability of genome sequences, gene expression analysis of jute has drawn considerable attention for understanding the regulatory mechanisms of fiber development and improving fiber quality. Gene expression profiles of a target gene can provide valuable clues towards the unde...

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Autores principales: Hossain, Md. Sabbir, Ahmed, Rasel, Haque, Md. Samiul, Alam, Md. Monjurul, Islam, Md. Shahidul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6489354/
https://www.ncbi.nlm.nih.gov/pubmed/31035927
http://dx.doi.org/10.1186/s12867-019-0130-2
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author Hossain, Md. Sabbir
Ahmed, Rasel
Haque, Md. Samiul
Alam, Md. Monjurul
Islam, Md. Shahidul
author_facet Hossain, Md. Sabbir
Ahmed, Rasel
Haque, Md. Samiul
Alam, Md. Monjurul
Islam, Md. Shahidul
author_sort Hossain, Md. Sabbir
collection PubMed
description BACKGROUND: With the availability of genome sequences, gene expression analysis of jute has drawn considerable attention for understanding the regulatory mechanisms of fiber development and improving fiber quality. Gene expression profiles of a target gene can provide valuable clues towards the understanding of its biological function. Reverse transcription quantitative real-time PCR (qRT-PCR) is the best method for targeted gene expression analysis due to its sensitivity and reproducibility. However, calculating relative expression requires reference genes, which must be stable across various biological conditions. For this purposes, 11 prospective genes namely, 28S RNA, ACT7, CYP, EF1A, EF2, ETIF3E, GAPDH, PP2Ac, PTB, UBC2 and UBI1 were evaluated for their potential use as reference genes in jute. RESULTS: The expression stabilities of eleven prospective genes were analyzed in various jute plant tissues, such as the root, stick, bark, leaf, flower, seed and fiber, as well as under abiotic (waterlogged, drought and salinity) and biotic stress (infestation with Macrophomina phaseolina) conditions with different time points. All 11 genes were variably expressed in different tissues and stress conditions. To find suitable reference genes in different sample sets, a comprehensive approach based on four statistical algorithms such as GeNorm, BestKeeper, NormFinder the ΔCt was used. The PP2Ac and EF2 genes were the most stably expressed across the different tissues. ACT7 and UBC2 were suitable reference genes under drought stress, and CYP and PP2Ac were the most appropriate after inoculation with Macrophomina phaseolina. Under salinity stress, PP2Ac and UBC2 were the best genes, and ACT7 and PP2Ac were the most suitable under waterlogged conditions. CONCLUSION: Expression stability of reference genes from jute varied in different tissues and selected experimental conditions. Our results provide a valuable resource for the accurate normalization of gene expression experiments in fiber research for important bast fiber crops. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12867-019-0130-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-64893542019-06-04 Identification and validation of reference genes for real-time quantitative RT-PCR analysis in jute Hossain, Md. Sabbir Ahmed, Rasel Haque, Md. Samiul Alam, Md. Monjurul Islam, Md. Shahidul BMC Mol Biol Research Article BACKGROUND: With the availability of genome sequences, gene expression analysis of jute has drawn considerable attention for understanding the regulatory mechanisms of fiber development and improving fiber quality. Gene expression profiles of a target gene can provide valuable clues towards the understanding of its biological function. Reverse transcription quantitative real-time PCR (qRT-PCR) is the best method for targeted gene expression analysis due to its sensitivity and reproducibility. However, calculating relative expression requires reference genes, which must be stable across various biological conditions. For this purposes, 11 prospective genes namely, 28S RNA, ACT7, CYP, EF1A, EF2, ETIF3E, GAPDH, PP2Ac, PTB, UBC2 and UBI1 were evaluated for their potential use as reference genes in jute. RESULTS: The expression stabilities of eleven prospective genes were analyzed in various jute plant tissues, such as the root, stick, bark, leaf, flower, seed and fiber, as well as under abiotic (waterlogged, drought and salinity) and biotic stress (infestation with Macrophomina phaseolina) conditions with different time points. All 11 genes were variably expressed in different tissues and stress conditions. To find suitable reference genes in different sample sets, a comprehensive approach based on four statistical algorithms such as GeNorm, BestKeeper, NormFinder the ΔCt was used. The PP2Ac and EF2 genes were the most stably expressed across the different tissues. ACT7 and UBC2 were suitable reference genes under drought stress, and CYP and PP2Ac were the most appropriate after inoculation with Macrophomina phaseolina. Under salinity stress, PP2Ac and UBC2 were the best genes, and ACT7 and PP2Ac were the most suitable under waterlogged conditions. CONCLUSION: Expression stability of reference genes from jute varied in different tissues and selected experimental conditions. Our results provide a valuable resource for the accurate normalization of gene expression experiments in fiber research for important bast fiber crops. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12867-019-0130-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-29 /pmc/articles/PMC6489354/ /pubmed/31035927 http://dx.doi.org/10.1186/s12867-019-0130-2 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Hossain, Md. Sabbir
Ahmed, Rasel
Haque, Md. Samiul
Alam, Md. Monjurul
Islam, Md. Shahidul
Identification and validation of reference genes for real-time quantitative RT-PCR analysis in jute
title Identification and validation of reference genes for real-time quantitative RT-PCR analysis in jute
title_full Identification and validation of reference genes for real-time quantitative RT-PCR analysis in jute
title_fullStr Identification and validation of reference genes for real-time quantitative RT-PCR analysis in jute
title_full_unstemmed Identification and validation of reference genes for real-time quantitative RT-PCR analysis in jute
title_short Identification and validation of reference genes for real-time quantitative RT-PCR analysis in jute
title_sort identification and validation of reference genes for real-time quantitative rt-pcr analysis in jute
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6489354/
https://www.ncbi.nlm.nih.gov/pubmed/31035927
http://dx.doi.org/10.1186/s12867-019-0130-2
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