Multi-marker metabarcoding resolves subtle variations in freshwater condition: Bioindicators, ecological traits, and trophic interactions

Freshwater systems are experiencing rapid biodiversity losses resulting from high rates of habitat degradation. Ecological condition is typically determined through identifying either macroinvertebrate or diatom bioindicator assemblages and comparing them to their known tolerance to stressors. These...

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Main Authors: Chloe Victoria Robinson, Teresita M. Porter, Victoria Carley Maitland, Michael T.G. Wright, Mehrdad Hajibabaei
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Ecological Indicators
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X22010767
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author Chloe Victoria Robinson
Teresita M. Porter
Victoria Carley Maitland
Michael T.G. Wright
Mehrdad Hajibabaei
author_facet Chloe Victoria Robinson
Teresita M. Porter
Victoria Carley Maitland
Michael T.G. Wright
Mehrdad Hajibabaei
author_sort Chloe Victoria Robinson
collection DOAJ
description Freshwater systems are experiencing rapid biodiversity losses resulting from high rates of habitat degradation. Ecological condition is typically determined through identifying either macroinvertebrate or diatom bioindicator assemblages and comparing them to their known tolerance to stressors. These comparisons are typically conducted at family or genus levels depending on the availability of taxonomic keys and expertise for focal groups. The objective of this study was to test whether a more taxonomically comprehensive assessment of communities in benthic samples can provide a different perspective of ecological conditions. DNA metabarcoding was used to identify macroinvertebrates and diatoms from kick-net samples collected from sites with different habitat status. Sites with ‘good’ condition were associated with higher beta diversity as well as slightly higher directed connectance and modularity indicating higher resilience compared with ‘fair’ condition sites. Indicator value and correlation analyses used DNA metabarcoding data to detect 29 site condition indicator species consistent with known bioindicators and expected relative tolerances. DNA metabarcoding and trophic network analysis also recovered 11 keystone taxa. This study demonstrates the importance of taxonomic breadth across trophic levels for generating biotic data to study ecosystem status, with the potential to scale-up ecological assessments of freshwater condition, trophic stability, and resilience.
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spelling doaj.art-692f7f3fe96f475292b5870bb51bf5d52022-12-22T02:48:55ZengElsevierEcological Indicators1470-160X2022-12-01145109603Multi-marker metabarcoding resolves subtle variations in freshwater condition: Bioindicators, ecological traits, and trophic interactionsChloe Victoria Robinson0Teresita M. Porter1Victoria Carley Maitland2Michael T.G. Wright3Mehrdad Hajibabaei4Centre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, ON, CanadaCentre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, ON, CanadaCentre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, ON, CanadaCentre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, ON, CanadaCentre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, ON, Canada; Corresponding author.Freshwater systems are experiencing rapid biodiversity losses resulting from high rates of habitat degradation. Ecological condition is typically determined through identifying either macroinvertebrate or diatom bioindicator assemblages and comparing them to their known tolerance to stressors. These comparisons are typically conducted at family or genus levels depending on the availability of taxonomic keys and expertise for focal groups. The objective of this study was to test whether a more taxonomically comprehensive assessment of communities in benthic samples can provide a different perspective of ecological conditions. DNA metabarcoding was used to identify macroinvertebrates and diatoms from kick-net samples collected from sites with different habitat status. Sites with ‘good’ condition were associated with higher beta diversity as well as slightly higher directed connectance and modularity indicating higher resilience compared with ‘fair’ condition sites. Indicator value and correlation analyses used DNA metabarcoding data to detect 29 site condition indicator species consistent with known bioindicators and expected relative tolerances. DNA metabarcoding and trophic network analysis also recovered 11 keystone taxa. This study demonstrates the importance of taxonomic breadth across trophic levels for generating biotic data to study ecosystem status, with the potential to scale-up ecological assessments of freshwater condition, trophic stability, and resilience.http://www.sciencedirect.com/science/article/pii/S1470160X22010767BiomonitoringDNA metabarcodingBioindicatorsWater qualityFood websBenthos
spellingShingle Chloe Victoria Robinson
Teresita M. Porter
Victoria Carley Maitland
Michael T.G. Wright
Mehrdad Hajibabaei
Multi-marker metabarcoding resolves subtle variations in freshwater condition: Bioindicators, ecological traits, and trophic interactions
Ecological Indicators
Biomonitoring
DNA metabarcoding
Bioindicators
Water quality
Food webs
Benthos
title Multi-marker metabarcoding resolves subtle variations in freshwater condition: Bioindicators, ecological traits, and trophic interactions
title_full Multi-marker metabarcoding resolves subtle variations in freshwater condition: Bioindicators, ecological traits, and trophic interactions
title_fullStr Multi-marker metabarcoding resolves subtle variations in freshwater condition: Bioindicators, ecological traits, and trophic interactions
title_full_unstemmed Multi-marker metabarcoding resolves subtle variations in freshwater condition: Bioindicators, ecological traits, and trophic interactions
title_short Multi-marker metabarcoding resolves subtle variations in freshwater condition: Bioindicators, ecological traits, and trophic interactions
title_sort multi marker metabarcoding resolves subtle variations in freshwater condition bioindicators ecological traits and trophic interactions
topic Biomonitoring
DNA metabarcoding
Bioindicators
Water quality
Food webs
Benthos
url http://www.sciencedirect.com/science/article/pii/S1470160X22010767
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