A bacterial index to estimate lake trophic level: National scale validation.

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dc.contributor.author Pearman, John K
dc.contributor.author Wood, Susanna A
dc.contributor.author Vandergoes, Marcus J
dc.contributor.author Atalah, Javier
dc.contributor.author Waters, Sean
dc.contributor.author Adamson, Janet
dc.contributor.author Thomson-Laing, Georgia
dc.contributor.author Thompson, Lucy
dc.contributor.author Howarth, Jamie D
dc.contributor.author Hamilton, David P
dc.contributor.author Pochon, Xavier
dc.contributor.author Biessy, Laura
dc.contributor.author Brasell, Katie A
dc.contributor.author Dahl, Jenny
dc.contributor.author Ellison, Riki
dc.contributor.author Fitzsimons, Sean J
dc.contributor.author Gard, Henry
dc.contributor.author Gerrard, Tania
dc.contributor.author Gregersen, Rose
dc.contributor.author Holloway, McKayla
dc.contributor.author Li, Xun
dc.contributor.author Kelly, David J
dc.contributor.author Martin, Reece
dc.contributor.author McFarlane, Kiely
dc.contributor.author McKay, Nicholas P
dc.contributor.author Moody, Adelaine
dc.contributor.author Moy, Chris M
dc.contributor.author Naeher, Sebastian
dc.contributor.author Newnham, Rewi
dc.contributor.author Parai, Russleigh
dc.contributor.author Picard, Maïlys
dc.contributor.author Puddick, Jonathan
dc.contributor.author Rees, Andrew BH
dc.contributor.author Reyes, Lizette
dc.contributor.author Schallenberg, Marc
dc.contributor.author Shepherd, Claire
dc.contributor.author Short, Julia
dc.contributor.author Simon, Kevin S
dc.contributor.author Steiner, Konstanze
dc.contributor.author Šunde, Charlotte
dc.contributor.author Terezow, Marianna
dc.contributor.author Tibby, John
dc.coverage.spatial Netherlands
dc.date.accessioned 2022-02-22T23:17:21Z
dc.date.available 2022-02-22T23:17:21Z
dc.date.issued 2021-12-21
dc.identifier.issn 0048-9697
dc.identifier.uri https://hdl.handle.net/2292/58305
dc.description.abstract Lakes and their catchments have been subjected to centuries to millennia of exploitation by humans. Efficient monitoring methods are required to promote proactive protection and management. Traditional monitoring is time consuming and expensive, which limits the number of lakes monitored. Lake surface sediments provide a temporally integrated representation of environmental conditions and contain high microbial biomass. Based on these attributes, we hypothesized that bacteria associated with lake trophic states could be identified and used to develop an index that would not be confounded by non-nutrient stressor gradients. Metabarcoding (16S rRNA gene) was used to assess bacterial communities present in surface sediments from 259 non-saline lakes in New Zealand encompassing a range of trophic states from alpine microtrophic lakes to lowland hypertrophic lakes. A subset of lakes (n = 96) with monitoring data was used to identify indicator amplicon sequence variants (ASVs) associated with different trophic states. A total of 10,888 indicator taxa were identified and used to develop a Sediment Bacterial Trophic Index (SBTI), which signficantly correlated (r<sup>2</sup> = 0.842, P < 0.001) with the Trophic Lake Index. The SBTI was then derived for the remaining 163 lakes, providing new knowledge of the trophic state of these unmonitored lakes. This new, robust DNA-based tool provides a rapid and cost-effective method that will allow a greater number of lakes to be monitored and more effectively managed in New Zealand and globally. The SBTI could also be applied in a paleolimnological context to investigate changes in trophic status over centuries to millennia.
dc.format.medium Print-Electronic
dc.language eng
dc.publisher Elsevier BV
dc.relation.ispartofseries The Science of the total environment
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.subject Bacteria
dc.subject Biomonitoring
dc.subject Environmental DNA
dc.subject Metabarcoding-based index
dc.subject Trophic state
dc.title A bacterial index to estimate lake trophic level: National scale validation.
dc.type Journal Article
dc.identifier.doi 10.1016/j.scitotenv.2021.152385
pubs.begin-page 152385
pubs.volume 812
dc.date.updated 2022-01-13T19:48:32Z
dc.rights.holder Copyright: The author en
pubs.author-url https://www.ncbi.nlm.nih.gov/pubmed/34942258
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/RetrictedAccess en
pubs.subtype Journal Article
pubs.elements-id 879504
dc.identifier.eissn 1879-1026
dc.identifier.pii S0048-9697(21)07463-5
pubs.number 152385

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