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A community resource for high-throughput quantitative RT-PCR analysis of transcription factor gene expression in Medicago truncatula

BACKGROUND: Medicago truncatula is a model legume species that is currently the focus of an international genome sequencing effort. Although several different oligonucleotide and cDNA arrays have been produced for genome-wide transcript analysis of this species, intrinsic limitations in the sensitiv...

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Autores principales: Kakar, Klementina, Wandrey, Maren, Czechowski, Tomasz, Gaertner, Tanja, Scheible, Wolf-Rüdiger, Stitt, Mark, Torres-Jerez, Ivone, Xiao, Yongli, Redman, Julia C, Wu, Hank C, Cheung, Foo, Town, Christopher D, Udvardi, Michael K
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2490690/
https://www.ncbi.nlm.nih.gov/pubmed/18611268
http://dx.doi.org/10.1186/1746-4811-4-18
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author Kakar, Klementina
Wandrey, Maren
Czechowski, Tomasz
Gaertner, Tanja
Scheible, Wolf-Rüdiger
Stitt, Mark
Torres-Jerez, Ivone
Xiao, Yongli
Redman, Julia C
Wu, Hank C
Cheung, Foo
Town, Christopher D
Udvardi, Michael K
author_facet Kakar, Klementina
Wandrey, Maren
Czechowski, Tomasz
Gaertner, Tanja
Scheible, Wolf-Rüdiger
Stitt, Mark
Torres-Jerez, Ivone
Xiao, Yongli
Redman, Julia C
Wu, Hank C
Cheung, Foo
Town, Christopher D
Udvardi, Michael K
author_sort Kakar, Klementina
collection PubMed
description BACKGROUND: Medicago truncatula is a model legume species that is currently the focus of an international genome sequencing effort. Although several different oligonucleotide and cDNA arrays have been produced for genome-wide transcript analysis of this species, intrinsic limitations in the sensitivity of hybridization-based technologies mean that transcripts of genes expressed at low-levels cannot be measured accurately with these tools. Amongst such genes are many encoding transcription factors (TFs), which are arguably the most important class of regulatory proteins. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) is the most sensitive method currently available for transcript quantification, and one that can be scaled up to analyze transcripts of thousands of genes in parallel. Thus, qRT-PCR is an ideal method to tackle the problem of TF transcript quantification in Medicago and other plants. RESULTS: We established a bioinformatics pipeline to identify putative TF genes in Medicago truncatula and to design gene-specific oligonucleotide primers for qRT-PCR analysis of TF transcripts. We validated the efficacy and gene-specificity of over 1000 TF primer pairs and utilized these to identify sets of organ-enhanced TF genes that may play important roles in organ development or differentiation in this species. This community resource will be developed further as more genome sequence becomes available, with the ultimate goal of producing validated, gene-specific primers for all Medicago TF genes. CONCLUSION: High-throughput qRT-PCR using a 384-well plate format enables rapid, flexible, and sensitive quantification of all predicted Medicago transcription factor mRNAs. This resource has been utilized recently by several groups in Europe, Australia, and the USA, and we expect that it will become the 'gold-standard' for TF transcript profiling in Medicago truncatula.
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spelling pubmed-24906902008-07-30 A community resource for high-throughput quantitative RT-PCR analysis of transcription factor gene expression in Medicago truncatula Kakar, Klementina Wandrey, Maren Czechowski, Tomasz Gaertner, Tanja Scheible, Wolf-Rüdiger Stitt, Mark Torres-Jerez, Ivone Xiao, Yongli Redman, Julia C Wu, Hank C Cheung, Foo Town, Christopher D Udvardi, Michael K Plant Methods Methodology BACKGROUND: Medicago truncatula is a model legume species that is currently the focus of an international genome sequencing effort. Although several different oligonucleotide and cDNA arrays have been produced for genome-wide transcript analysis of this species, intrinsic limitations in the sensitivity of hybridization-based technologies mean that transcripts of genes expressed at low-levels cannot be measured accurately with these tools. Amongst such genes are many encoding transcription factors (TFs), which are arguably the most important class of regulatory proteins. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) is the most sensitive method currently available for transcript quantification, and one that can be scaled up to analyze transcripts of thousands of genes in parallel. Thus, qRT-PCR is an ideal method to tackle the problem of TF transcript quantification in Medicago and other plants. RESULTS: We established a bioinformatics pipeline to identify putative TF genes in Medicago truncatula and to design gene-specific oligonucleotide primers for qRT-PCR analysis of TF transcripts. We validated the efficacy and gene-specificity of over 1000 TF primer pairs and utilized these to identify sets of organ-enhanced TF genes that may play important roles in organ development or differentiation in this species. This community resource will be developed further as more genome sequence becomes available, with the ultimate goal of producing validated, gene-specific primers for all Medicago TF genes. CONCLUSION: High-throughput qRT-PCR using a 384-well plate format enables rapid, flexible, and sensitive quantification of all predicted Medicago transcription factor mRNAs. This resource has been utilized recently by several groups in Europe, Australia, and the USA, and we expect that it will become the 'gold-standard' for TF transcript profiling in Medicago truncatula. BioMed Central 2008-07-08 /pmc/articles/PMC2490690/ /pubmed/18611268 http://dx.doi.org/10.1186/1746-4811-4-18 Text en Copyright © 2008 Kakar et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology
Kakar, Klementina
Wandrey, Maren
Czechowski, Tomasz
Gaertner, Tanja
Scheible, Wolf-Rüdiger
Stitt, Mark
Torres-Jerez, Ivone
Xiao, Yongli
Redman, Julia C
Wu, Hank C
Cheung, Foo
Town, Christopher D
Udvardi, Michael K
A community resource for high-throughput quantitative RT-PCR analysis of transcription factor gene expression in Medicago truncatula
title A community resource for high-throughput quantitative RT-PCR analysis of transcription factor gene expression in Medicago truncatula
title_full A community resource for high-throughput quantitative RT-PCR analysis of transcription factor gene expression in Medicago truncatula
title_fullStr A community resource for high-throughput quantitative RT-PCR analysis of transcription factor gene expression in Medicago truncatula
title_full_unstemmed A community resource for high-throughput quantitative RT-PCR analysis of transcription factor gene expression in Medicago truncatula
title_short A community resource for high-throughput quantitative RT-PCR analysis of transcription factor gene expression in Medicago truncatula
title_sort community resource for high-throughput quantitative rt-pcr analysis of transcription factor gene expression in medicago truncatula
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2490690/
https://www.ncbi.nlm.nih.gov/pubmed/18611268
http://dx.doi.org/10.1186/1746-4811-4-18
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