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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Main Authors: Derek Peršoh, Alfons R. Weig, Gerhard Rambold
Format: Article
Language:English
Published: MDPI AG 2011-10-01
Series:Microarrays
Subjects:
Online Access:http://www.mdpi.com/2076-3905/1/1/25
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spelling doaj-a3750c3d18d149a7943962ad5127e2502020-11-25T01:17:03ZengMDPI AGMicroarrays2076-39052011-10-0111254110.3390/microarrays1010025A Transcriptome—Targeting EcoChip for Assessing Functional MycodiversityDerek PeršohAlfons R. WeigGerhard RamboldA 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.http://www.mdpi.com/2076-3905/1/1/25active fungal communitysoilquantitative microarrayprecursor rRNAmRNA
collection DOAJ
language English
format Article
sources DOAJ
author Derek Peršoh
Alfons R. Weig
Gerhard Rambold
spellingShingle Derek Peršoh
Alfons R. Weig
Gerhard Rambold
A Transcriptome—Targeting EcoChip for Assessing Functional Mycodiversity
Microarrays
active fungal community
soil
quantitative microarray
precursor rRNA
mRNA
author_facet Derek Peršoh
Alfons R. Weig
Gerhard Rambold
author_sort Derek Peršoh
title A Transcriptome—Targeting EcoChip for Assessing Functional Mycodiversity
title_short 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_sort transcriptome—targeting ecochip for assessing functional mycodiversity
publisher MDPI AG
series Microarrays
issn 2076-3905
publishDate 2011-10-01
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.
topic active fungal community
soil
quantitative microarray
precursor rRNA
mRNA
url http://www.mdpi.com/2076-3905/1/1/25
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AT alfonsrweig atranscriptometargetingecochipforassessingfunctionalmycodiversity
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AT alfonsrweig transcriptometargetingecochipforassessingfunctionalmycodiversity
AT gerhardrambold transcriptometargetingecochipforassessingfunctionalmycodiversity
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