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-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.

[1]  J. Bae,et al.  Comparing microarrays and next-generation sequencing technologies for microbial ecology research. , 2010, Trends in biotechnology.

[2]  L. Fraissinet-Tachet,et al.  A novel fungal family of oligopeptide transporters identified by functional metatranscriptomics of soil eukaryotes , 2011, The ISME Journal.

[3]  Susan M. Huse,et al.  24. Microbial Diversity in the Deep Sea and the Underexplored “Rare Biosphere” , 2011 .

[4]  Gang Bao,et al.  Fluorescent probes for live-cell RNA detection. , 2009, Annual review of biomedical engineering.

[5]  L. Tedersoo,et al.  454 Pyrosequencing and Sanger sequencing of tropical mycorrhizal fungi provide similar results but reveal substantial methodological biases. , 2010, The New phytologist.

[6]  E. Kristiansson,et al.  A software pipeline for processing and identification of fungal ITS sequences , 2009, Source Code for Biology and Medicine.

[7]  L. Manoch,et al.  On the relationships of Paecilomyces sect. Isarioidea species. , 2005, Mycological research.

[8]  Jason D. Buenrostro,et al.  Finding a (pine) needle in a haystack: chloroplast genome sequence divergence in rare and widespread pines , 2010, Molecular ecology.

[9]  K. Domsch,et al.  Compendium of Soil Fungi , 1995 .

[10]  T. Stoeck,et al.  Multiple marker parallel tag environmental DNA sequencing reveals a highly complex eukaryotic community in marine anoxic water , 2010, Molecular ecology.

[11]  R. Amann,et al.  Flow Cytometric Analysis of the In Situ Accessibility of Escherichia coli 16S rRNA for Fluorescently Labeled Oligonucleotide Probes , 1998, Applied and Environmental Microbiology.

[12]  Lukas Wagner,et al.  A Greedy Algorithm for Aligning DNA Sequences , 2000, J. Comput. Biol..

[13]  Alexander Keller,et al.  The ITS2 Database III—sequences and structures for phylogeny , 2009, Nucleic Acids Res..

[14]  Hanlee P. Ji,et al.  Next-generation DNA sequencing , 2008, Nature Biotechnology.

[15]  Zhenyu Jia,et al.  Evaluating oligonucleotide properties for DNA microarray probe design , 2010, Nucleic acids research.

[16]  G. Rambold,et al.  Towards a universally adaptable method for quantitative extraction of high-purity nucleic acids from soil. , 2008, Journal of microbiological methods.

[17]  Susan M. Huse,et al.  Microbial diversity in the deep sea and the underexplored “rare biosphere” , 2006, Proceedings of the National Academy of Sciences.

[18]  D. Lipman,et al.  National Center for Biotechnology Information , 2019, Springer Reference Medizin.

[19]  Ian A Dickie,et al.  Insidious effects of sequencing errors on perceived diversity in molecular surveys. , 2010, The New phytologist.

[20]  C. Gibas,et al.  Secondary structure in the target as a confounding factor in synthetic oligomer microarray design , 2005, BMC Genomics.

[21]  P. Bridge,et al.  On the unreliability of published DNA sequences. , 2003, The New phytologist.

[22]  G. Rambold,et al.  First fungal community analyses of endophytic ascomycetes associated with Viscum album ssp. austriacum and its host Pinus sylvestris. , 2010, Fungal biology.

[23]  A. Jumpponen,et al.  Massively parallel 454‐sequencing of fungal communities in Quercus spp. ectomycorrhizas indicates seasonal dynamics in urban and rural sites , 2010, Molecular ecology.

[24]  Henrik Bjørn Nielsen,et al.  Improving comparability between microarray probe signals by thermodynamic intensity correction. , 2007, Nucleic acids research.

[25]  J. Harting,et al.  Assembly free comparative genomics of short‐read sequence data discovers the needles in the haystack , 2010, Molecular ecology.

[26]  Wolfgang Maier,et al.  Current state and perspectives of fungal DNA barcoding and rapid identification procedures , 2010, Applied Microbiology and Biotechnology.

[27]  Yudong D. He,et al.  Expression profiling using microarrays fabricated by an ink-jet oligonucleotide synthesizer , 2001, Nature Biotechnology.

[28]  Susan M. Huse,et al.  Pyrosequencing analysis of the Oral Microflora of healthy adults , 2008, Journal of dental research.

[29]  Zaid Abdo,et al.  Bacterial diversity in a glacier foreland of the high Arctic , 2010, Molecular ecology.

[30]  A. Meyer,et al.  Rapid evolution and selection inferred from the transcriptomes of sympatric crater lake cichlid fishes , 2010, Molecular ecology.

[31]  Rudolf Amann,et al.  In Situ Accessibility of Saccharomyces cerevisiae 26S rRNA to Cy3-Labeled Oligonucleotide Probes Comprising the D1 and D2 Domains , 2003, Applied and Environmental Microbiology.

[32]  D. Rosauer,et al.  A genetic basis for the phenotypic differentiation between siscowet and lean lake trout (Salvelinus namaycush) , 2010, Molecular ecology.

[33]  F. Martin,et al.  454 Pyrosequencing analyses of forest soils reveal an unexpectedly high fungal diversity. , 2009, The New phytologist.

[34]  Michael Wagner,et al.  probeBase—an online resource for rRNA-targeted oligonucleotide probes: new features 2007 , 2006, Nucleic Acids Res..

[35]  Rudolf Amann,et al.  In Situ Accessibility of Escherichia coli 23S rRNA to Fluorescently Labeled Oligonucleotide Probes , 2001, Applied and Environmental Microbiology.