16S and 18S rRNA Gene Metabarcoding Provide Congruent Information on the Responses of Sediment Communities to Eutrophication

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Harrison , J P , Chronopoulou , P-M , Salonen , I S , Jilbert , T & Koho , K A 2021 , ' 16S and 18S rRNA Gene Metabarcoding Provide Congruent Information on the Responses of Sediment Communities to Eutrophication ' , Frontiers in Marine Science , vol. 8 , 708716 . https://doi.org/10.3389/fmars.2021.708716

Title: 16S and 18S rRNA Gene Metabarcoding Provide Congruent Information on the Responses of Sediment Communities to Eutrophication
Author: Harrison, Jesse P.; Chronopoulou, Panagiota-Myrsini; Salonen, Iines S.; Jilbert, Tom; Koho, Karoliina A.
Contributor: University of Helsinki, Helsinki Institute of Sustainability Science (HELSUS)
University of Helsinki, Ecosystems and Environment Research Programme
University of Helsinki, Ecosystems and Environment Research Programme
University of Helsinki, Ecosystems and Environment Research Programme
University of Helsinki, Helsinki Institute of Sustainability Science (HELSUS)
Date: 2021-07-05
Language: eng
Number of pages: 15
Belongs to series: Frontiers in Marine Science
ISSN: 2296-7745
URI: http://hdl.handle.net/10138/332685
Abstract: Metabarcoding analyses of bacterial and eukaryotic communities have been proposed as efficient tools for environmental impact assessment. It has been unclear, however, to which extent these analyses can provide similar or differing information on the ecological status of the environment. Here, we used 16S and 18S rRNA gene metabarcoding to compare eutrophication-induced shifts in sediment bacterial and eukaryotic community structure in relation to a range of porewater, sediment and bottom-water geochemical variables, using data obtained from six stations near a former rainbow trout farm in the Archipelago Sea (Baltic Sea). Shifts in the structure of both community types were correlated with a shared set of variables, including porewater ammonium concentrations and the sediment depth-integrated oxygen consumption rate. Distance-based redundancy analyses showed that variables typically employed in impact assessments, such as bottom water nutrient concentrations, explained less of the variance in community structure than alternative variables (e.g., porewater NH4+ inventories and sediment depth-integrated O2 consumption rates) selected due to their low collinearity (up to 40 vs. 58% of the variance explained, respectively). In monitoring surveys where analyses of both bacterial and eukaryotic communities may be impossible, either 16S or 18S rRNA gene metabarcoding can serve as reliable indicators of wider ecological impacts of eutrophication.
Subject: aquaculture
bacteria
eDNA
eukaryotes
eutrophication
metabarcoding
sediment
BACTERIAL COMMUNITIES
ORGANIC ENRICHMENT
HYDROGEN-SULFIDE
MARINE
AQUACULTURE
DIVERSITY
MEIOFAUNA
IMPACTS
1172 Environmental sciences
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