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A Transcriptome—Targeting EcoChip for Assessing Functional Mycodiversity

A functional biodiversity microarray (EcoChip) prototype has been developed to facilitate the analysis of fungal communities in environmental samples with broad functional and phylogenetic coverage and to enable the incorporation of nucleic acid sequence data as they become available from large-scal...

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Detalles Bibliográficos
Autores principales: Peršoh, Derek, Weig, Alfons R., Rambold, Gerhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5007713/
https://www.ncbi.nlm.nih.gov/pubmed/27605333
http://dx.doi.org/10.3390/microarrays1010025
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author Peršoh, Derek
Weig, Alfons R.
Rambold, Gerhard
author_facet Peršoh, Derek
Weig, Alfons R.
Rambold, Gerhard
author_sort Peršoh, Derek
collection PubMed
description A functional biodiversity microarray (EcoChip) prototype has been developed to facilitate the analysis of fungal communities in environmental samples with broad functional and phylogenetic coverage and to enable the incorporation of nucleic acid sequence data as they become available from large-scale (next generation) sequencing projects. A dual probe set (DPS) was designed to detect a) functional enzyme transcripts at conserved protein sites and b) phylogenetic barcoding transcripts at ITS regions present in precursor rRNA. Deviating from the concept of GeoChip-type microarrays, the presented EcoChip microarray phylogenetic information was obtained using a dedicated set of barcoding microarray probes, whereas functional gene expression was analyzed by conserved domain-specific probes. By unlinking these two target groups, the shortage of broad sequence information of functional enzyme-coding genes in environmental communities became less important. The novel EcoChip microarray could be successfully applied to identify specific degradation activities in environmental samples at considerably high phylogenetic resolution. Reproducible and unbiased microarray signals could be obtained with chemically labeled total RNA preparations, thus avoiding the use of enzymatic labeling steps. ITS precursor rRNA was detected for the first time in a microarray experiment, which confirms the applicability of the EcoChip concept to selectively quantify the transcriptionally active part of fungal communities at high phylogenetic resolution. In addition, the chosen microarray platform facilitates the conducting of experiments with high sample throughput in almost any molecular biology laboratory.
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spelling pubmed-50077132016-09-06 A Transcriptome—Targeting EcoChip for Assessing Functional Mycodiversity Peršoh, Derek Weig, Alfons R. Rambold, Gerhard Microarrays (Basel) Article A functional biodiversity microarray (EcoChip) prototype has been developed to facilitate the analysis of fungal communities in environmental samples with broad functional and phylogenetic coverage and to enable the incorporation of nucleic acid sequence data as they become available from large-scale (next generation) sequencing projects. A dual probe set (DPS) was designed to detect a) functional enzyme transcripts at conserved protein sites and b) phylogenetic barcoding transcripts at ITS regions present in precursor rRNA. Deviating from the concept of GeoChip-type microarrays, the presented EcoChip microarray phylogenetic information was obtained using a dedicated set of barcoding microarray probes, whereas functional gene expression was analyzed by conserved domain-specific probes. By unlinking these two target groups, the shortage of broad sequence information of functional enzyme-coding genes in environmental communities became less important. The novel EcoChip microarray could be successfully applied to identify specific degradation activities in environmental samples at considerably high phylogenetic resolution. Reproducible and unbiased microarray signals could be obtained with chemically labeled total RNA preparations, thus avoiding the use of enzymatic labeling steps. ITS precursor rRNA was detected for the first time in a microarray experiment, which confirms the applicability of the EcoChip concept to selectively quantify the transcriptionally active part of fungal communities at high phylogenetic resolution. In addition, the chosen microarray platform facilitates the conducting of experiments with high sample throughput in almost any molecular biology laboratory. MDPI 2011-10-31 /pmc/articles/PMC5007713/ /pubmed/27605333 http://dx.doi.org/10.3390/microarrays1010025 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Peršoh, Derek
Weig, Alfons R.
Rambold, Gerhard
A Transcriptome—Targeting EcoChip for Assessing Functional Mycodiversity
title A Transcriptome—Targeting EcoChip for Assessing Functional Mycodiversity
title_full A Transcriptome—Targeting EcoChip for Assessing Functional Mycodiversity
title_fullStr A Transcriptome—Targeting EcoChip for Assessing Functional Mycodiversity
title_full_unstemmed A Transcriptome—Targeting EcoChip for Assessing Functional Mycodiversity
title_short A Transcriptome—Targeting EcoChip for Assessing Functional Mycodiversity
title_sort transcriptome—targeting ecochip for assessing functional mycodiversity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5007713/
https://www.ncbi.nlm.nih.gov/pubmed/27605333
http://dx.doi.org/10.3390/microarrays1010025
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