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The best of both worlds: a combined approach for analyzing microalgal diversity via metabarcoding and morphology-based methods

Groendahl, Sophie and Kahlert, Maria and Fink, Patrick and Fink, Patrick (2017). The best of both worlds: a combined approach for analyzing microalgal diversity via metabarcoding and morphology-based methods. PloS one. 12:2, 1-15
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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.

Authors/Creators:Groendahl, Sophie and Kahlert, Maria and Fink, Patrick and Fink, Patrick
Title:The best of both worlds: a combined approach for analyzing microalgal diversity via metabarcoding and morphology-based methods
Series/Journal:PloS one (1932-6203)
Year of publishing :2017
Volume:12
Number:2
Page range:1-15
Number of Pages:15
Publisher:Public Library of Science
ISSN:1932-6203
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Environmental Sciences (social aspects to be 507)
(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Botany
(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Genetics (medical genetics to be 30107 and agricultural genetics to be 40402)
Agrovoc terms:methodology, biodiversity, microorganisms
Keywords:next generation sequencing (NGS), morphology-based identification methods, quantitative analysis, eukaryotic microorganisms, methodology, microalgal diversity
URN:NBN:urn:nbn:se:slu:epsilon-e-4083
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-4083
Additional ID:
Type of IDID
Web of Science (WoS)000394688200142
DOI10.1371/journal.pone.0172808
ID Code:14213
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Aquatic Sciences and Assessment
Deposited By: SLUpub Connector
Deposited On:06 Apr 2017 08:36
Metadata Last Modified:06 Apr 2017 08:36

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