Transcriptome fingerprinting analysis: an approach to explore gene expression patterns in marine microbial communities.

Microbial transcriptomics are providing new insights into the functional processes of microbial communities. However, analysis of each sample is still expensive and time consuming. A rapid and low cost method that would allow the identification of the most interesting samples for posterior in-depth...

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Autores principales: Montserrat Coll-Lladó, Silvia G Acinas, Cristina Pujades, Carlos Pedrós-Alió
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Publicado: Public Library of Science (PLoS) 2011
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Acceso en línea:https://doaj.org/article/e8061c10125d442084287bf2334775c2
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spelling oai:doaj.org-article:e8061c10125d442084287bf2334775c22021-11-18T06:48:26ZTranscriptome fingerprinting analysis: an approach to explore gene expression patterns in marine microbial communities.1932-620310.1371/journal.pone.0022950https://doaj.org/article/e8061c10125d442084287bf2334775c22011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21857972/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Microbial transcriptomics are providing new insights into the functional processes of microbial communities. However, analysis of each sample is still expensive and time consuming. A rapid and low cost method that would allow the identification of the most interesting samples for posterior in-depth metatranscriptomics analysis would be extremely useful. Here we present Transcriptome Fingerprinting Analysis (TFA) as an approach to fulfill this objective in microbial ecology studies. We have adapted the differential display technique for mRNA fingerprinting based on the PCR amplification of expressed transcripts to interrogate natural microbial eukaryotic communities. Unlike other techniques, TFA does not require prior knowledge of the mRNA sequences to be detected. We have used a set of arbitrary primers coupled with a fluorescence labeled primer targeting the poly(A) tail of the eukaryotic mRNA, with further detection of the resulting labeled cDNA products in an automated genetic analyzer. The output represented by electropherogram peak patterns allowed the comparison of a set of genes expressed at the time of sampling. TFA has been optimized by testing the sensitivity of the method for different initial RNA amounts, and the repeatability of the gene expression patterns with increasing time after sampling both with cultures and environmental samples. Results show that TFA is a promising approach to explore the dynamics of gene expression patterns in microbial communities.Montserrat Coll-LladóSilvia G AcinasCristina PujadesCarlos Pedrós-AlióPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 8, p e22950 (2011)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Montserrat Coll-Lladó
Silvia G Acinas
Cristina Pujades
Carlos Pedrós-Alió
Transcriptome fingerprinting analysis: an approach to explore gene expression patterns in marine microbial communities.
description Microbial transcriptomics are providing new insights into the functional processes of microbial communities. However, analysis of each sample is still expensive and time consuming. A rapid and low cost method that would allow the identification of the most interesting samples for posterior in-depth metatranscriptomics analysis would be extremely useful. Here we present Transcriptome Fingerprinting Analysis (TFA) as an approach to fulfill this objective in microbial ecology studies. We have adapted the differential display technique for mRNA fingerprinting based on the PCR amplification of expressed transcripts to interrogate natural microbial eukaryotic communities. Unlike other techniques, TFA does not require prior knowledge of the mRNA sequences to be detected. We have used a set of arbitrary primers coupled with a fluorescence labeled primer targeting the poly(A) tail of the eukaryotic mRNA, with further detection of the resulting labeled cDNA products in an automated genetic analyzer. The output represented by electropherogram peak patterns allowed the comparison of a set of genes expressed at the time of sampling. TFA has been optimized by testing the sensitivity of the method for different initial RNA amounts, and the repeatability of the gene expression patterns with increasing time after sampling both with cultures and environmental samples. Results show that TFA is a promising approach to explore the dynamics of gene expression patterns in microbial communities.
format article
author Montserrat Coll-Lladó
Silvia G Acinas
Cristina Pujades
Carlos Pedrós-Alió
author_facet Montserrat Coll-Lladó
Silvia G Acinas
Cristina Pujades
Carlos Pedrós-Alió
author_sort Montserrat Coll-Lladó
title Transcriptome fingerprinting analysis: an approach to explore gene expression patterns in marine microbial communities.
title_short Transcriptome fingerprinting analysis: an approach to explore gene expression patterns in marine microbial communities.
title_full Transcriptome fingerprinting analysis: an approach to explore gene expression patterns in marine microbial communities.
title_fullStr Transcriptome fingerprinting analysis: an approach to explore gene expression patterns in marine microbial communities.
title_full_unstemmed Transcriptome fingerprinting analysis: an approach to explore gene expression patterns in marine microbial communities.
title_sort transcriptome fingerprinting analysis: an approach to explore gene expression patterns in marine microbial communities.
publisher Public Library of Science (PLoS)
publishDate 2011
url https://doaj.org/article/e8061c10125d442084287bf2334775c2
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AT silviagacinas transcriptomefingerprintinganalysisanapproachtoexploregeneexpressionpatternsinmarinemicrobialcommunities
AT cristinapujades transcriptomefingerprintinganalysisanapproachtoexploregeneexpressionpatternsinmarinemicrobialcommunities
AT carlospedrosalio transcriptomefingerprintinganalysisanapproachtoexploregeneexpressionpatternsinmarinemicrobialcommunities
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