Universität zu Köln

Groendahl, Sophie, Kahlert, Maria ORCID: 0000-0001-9643-4281 and Fink, Patrick ORCID: 0000-0002-5927-8977 (2017). The best of both worlds: A combined approach for analyzing microalgal diversity via metabarcoding and morphology-based methods. PLoS One, 12 (2). SAN FRANCISCO: PUBLIC LIBRARY SCIENCE. ISSN 1932-6203

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Abstract

An increasing number of studies use next generation sequencing (NGS) to analyze complex communities, but is the method sensitive enough when it comes to identification and quantification of species? We compared NGS with morphology-based identification methods in an analysis of microalgal (periphyton) communities. We conducted a mesocosm experiment in which we allowed two benthic grazer species to feed upon benthic biofilms, which resulted in altered periphyton communities. Morphology-based identification and 454 (Roche) pyro-sequencing of the V4 region in the small ribosomal unit (18S) rDNA gene were used to investigate the community change caused by grazing. Both the NGS-based data and the morphology-based method detected a marked shift in the biofilm composition, though the two methods varied strongly in their abilities to detect and quantify specific taxa, and neither method was able to detect all species in the biofilms. For quantitative analysis, we therefore recommend using both metabarcoding and microscopic identification when assessing the community composition of eukaryotic microorganisms.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Groendahl, Sophie UNSPECIFIED UNSPECIFIED UNSPECIFIED Kahlert, Maria UNSPECIFIED orcid.org/0000-0001-9643-4281 UNSPECIFIED Fink, Patrick UNSPECIFIED orcid.org/0000-0002-5927-8977 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-239487
DOI:	10.1371/journal.pone.0172808
Journal or Publication Title:	PLoS One
Volume:	12
Number:	2
Date:	2017
Publisher:	PUBLIC LIBRARY SCIENCE
Place of Publication:	SAN FRANCISCO
ISSN:	1932-6203
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language 18S RIBOSOMAL-RNA; SPECIES RICHNESS; COPY NUMBER; BIODIVERSITY; DNA; MICROORGANISMS; IDENTIFICATION; COMMUNITIES; SENSITIVITY; INVENTORY Multiple languages Multidisciplinary Sciences Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/23948