Publikation: Diversity analysis of sulfite- and sulfate-reducing microorganisms by multiplex dsrA and dsrB amplicon sequencing using new primers and mock community-optimized bioinformatics
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
Genes encoding dissimilatory sulfite reductase (DsrAB) are commonly used as diagnostic markers in ecological studies of sulfite- and sulfate-reducing microorganisms. Here, we developed new high-coverage primer sets for generation of reductive bacterial-type dsrA and dsrB PCR products for highly parallel amplicon sequencing and a bioinformatics workflow for processing and taxonomic classification of short dsrA and dsrB reads. We employed two diverse mock communities that consisted of 45 or 90 known dsrAB sequences derived from environmental clones to precisely evaluate the performance of individual steps of our amplicon sequencing approach on the Illumina MiSeq platform. Although PCR cycle number, gene-specific primer mismatches, and stringent filtering for high-quality sequences had notable effects on the observed dsrA and dsrB community structures, recovery of most mock community sequences was generally proportional to their relative input abundances. Successful dsrA and dsrB diversity analysis in selected environmental samples further proved that the multiplex amplicon sequencing approach is adequate for monitoring spatial distribution and temporal abundance dynamics of dsrAB-containing microorganisms. While tested for reductive bacterial-type dsrAB, this method is readily applicable for oxidative-type dsrAB of sulfur-oxidizing bacteria and also provides guidance for processing short amplicon reads of other functional genes.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
PELIKAN, Claus, Craig W. HERBOLD, Bela HAUSMANN, Albert L. MÜLLER, Michael PESTER, Alexander LOY, 2016. Diversity analysis of sulfite- and sulfate-reducing microorganisms by multiplex dsrA and dsrB amplicon sequencing using new primers and mock community-optimized bioinformatics. In: Environmental Microbiology. 2016, 18(9), pp. 2994-3009. ISSN 1462-2912. eISSN 1462-2920. Available under: doi: 10.1111/1462-2920.13139BibTex
@article{Pelikan2016-09Diver-32727, year={2016}, doi={10.1111/1462-2920.13139}, title={Diversity analysis of sulfite- and sulfate-reducing microorganisms by multiplex dsrA and dsrB amplicon sequencing using new primers and mock community-optimized bioinformatics}, number={9}, volume={18}, issn={1462-2912}, journal={Environmental Microbiology}, pages={2994--3009}, author={Pelikan, Claus and Herbold, Craig W. and Hausmann, Bela and Müller, Albert L. and Pester, Michael and Loy, Alexander} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/32727"> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:language>eng</dc:language> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/52"/> <dc:creator>Herbold, Craig W.</dc:creator> <dc:contributor>Herbold, Craig W.</dc:contributor> <dc:creator>Müller, Albert L.</dc:creator> <dc:contributor>Pester, Michael</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-01-26T14:43:03Z</dcterms:available> <dcterms:issued>2016-09</dcterms:issued> <dc:creator>Hausmann, Bela</dc:creator> <dcterms:title>Diversity analysis of sulfite- and sulfate-reducing microorganisms by multiplex dsrA and dsrB amplicon sequencing using new primers and mock community-optimized bioinformatics</dcterms:title> <dc:creator>Pelikan, Claus</dc:creator> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/> <dc:contributor>Loy, Alexander</dc:contributor> <dcterms:abstract xml:lang="eng">Genes encoding dissimilatory sulfite reductase (DsrAB) are commonly used as diagnostic markers in ecological studies of sulfite- and sulfate-reducing microorganisms. Here, we developed new high-coverage primer sets for generation of reductive bacterial-type dsrA and dsrB PCR products for highly parallel amplicon sequencing and a bioinformatics workflow for processing and taxonomic classification of short dsrA and dsrB reads. We employed two diverse mock communities that consisted of 45 or 90 known dsrAB sequences derived from environmental clones to precisely evaluate the performance of individual steps of our amplicon sequencing approach on the Illumina MiSeq platform. Although PCR cycle number, gene-specific primer mismatches, and stringent filtering for high-quality sequences had notable effects on the observed dsrA and dsrB community structures, recovery of most mock community sequences was generally proportional to their relative input abundances. Successful dsrA and dsrB diversity analysis in selected environmental samples further proved that the multiplex amplicon sequencing approach is adequate for monitoring spatial distribution and temporal abundance dynamics of dsrAB-containing microorganisms. While tested for reductive bacterial-type dsrAB, this method is readily applicable for oxidative-type dsrAB of sulfur-oxidizing bacteria and also provides guidance for processing short amplicon reads of other functional genes.</dcterms:abstract> <dc:contributor>Müller, Albert L.</dc:contributor> <dc:contributor>Pelikan, Claus</dc:contributor> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/32727"/> <dc:creator>Loy, Alexander</dc:creator> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/52"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/> <dc:contributor>Hausmann, Bela</dc:contributor> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:creator>Pester, Michael</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-01-26T14:43:03Z</dc:date> </rdf:Description> </rdf:RDF>