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Monitoring deep-sea benthic biodiversity using environmental DNA approaches to compare trawled and untrawled sites

Thesis (MSc)--Stellenbosch University, 2021.

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Bibliographic Details
Main Author: Oosthuizen, Delene
Other Authors: Von der Heyden, Sophie
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2021
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access_status_str Open Access
author Oosthuizen, Delene
author2 Von der Heyden, Sophie
author_browse Oosthuizen, Delene
Von der Heyden, Sophie
author_facet Von der Heyden, Sophie
Oosthuizen, Delene
author_sort Oosthuizen, Delene
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MSc)--Stellenbosch University, 2021.
format Thesis
id oai:scholar.sun.ac.za:10019.1/123838
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:45:17.761Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/123838 Monitoring deep-sea benthic biodiversity using environmental DNA approaches to compare trawled and untrawled sites Oosthuizen, Delene Von der Heyden, Sophie Seymour, Mat Stellenbosch University. Faculty of Science. Dept. of Botany and Zoology. Deep-sea -- Ecology Benthic community ecology Benthic animals -- Effect of habitat modification on -- South Africa -- West Coast Deep-sea animals -- Effect of environment on Environmental DNA UCTD Thesis (MSc)--Stellenbosch University, 2021. ENGLISH ABSTRACT: The deep-sea is the largest environment on earth and yet it remains understudied. Environmental DNA (eDNA) metabarcoding provides a cost and time effective method to characterise and study deep-sea benthic communities. This study is the first study in South Africa to use eDNA to study benthic communities in the deep-sea. Sediment samples were collected from 29 sites on Childs Bank off the West Coast of South Africa. Certain sites had been closed to trawling for 5 years while others had been left open to trawling. DNA was extracted from the sediment samples and used to determine the taxonomic composition of the benthic communities. When compared to existing species inventories from the area, it was found that the eDNA metabarcoding recovered similar numbers of taxa, some of which were not listed in other species lists. However, many taxa could only be assigned to higher taxonomic levels such as order as many species are not represented in barcode databases. Environmental data such as site depth and sediment type and composition were also collected from the study sites. Community composition was then compared between sites to determine whether trawling, depth or sediment type affected community composition. Contrary to what was expected, depth was the only factor with a significant effect on community composition. AFRIKAANSE OPSOMMING: Die diepsee is die grootste habitat op aarde maar is steeds tot ‘n groot mate nog min bestudeer. Omgewings DNS-kodering bied ‘n tyd en koste effektiewe manier om diepsee organismes te ondersoek. Hierdie studie is die eerste van sy soort in Suid-Afrika om oDNS te gebruik om bentiese gemeenskappe in en op die diepsee bodem te bestudeer. Sediment monsters is van 29 data versamelpunte op Childs Bank langs die Weskus geneem. Dele van die area is gesluit vir treilvisserye terwyl ander dele oopgelos is. DNS is van die sediment monsters geïsoleer en gebruik om die taksonomiese samestelling van bentiese gemeenskappe te identifiseer. In vergelyking met ander spesie opnames van die area, het die studie soortgelyke getalle taksa gevind, waarvan sommige nie op die ander lyste teenwoordig was nie. ‘n Gedeelte van die taksa kon nie tot laer taksonomiese vlakke geïdentifiseer word nie omdat baie van hierdie spesies nie in DNS-kodering databasisse teenwoordig is nie. Ander inligting uit die omgewing (nl. diepte en sediment-tipe) is ook versamel. Die bentiese gemeenskap samestellings tussen areas kon vergelyk word om te bepaal of diepte, sediment- tipe of blootstelling aan treilvissery ‘n invloed op die samestelling van gemeenskappe het. In teenstelling met verwagtings, het net diepte ‘n noemenswaardige effek op bentiese gemeenskap samestellings getoon. Masters 2021-11-26T05:29:09Z 2021-12-22T14:24:20Z 2021-11-26T05:29:09Z 2021-12-22T14:24:20Z 2021-12 Thesis http://hdl.handle.net/10019.1/123838 en_ZA Stellenbosch University 83 pages : maps application/pdf Stellenbosch : Stellenbosch University
spellingShingle Deep-sea -- Ecology
Benthic community ecology
Benthic animals -- Effect of habitat modification on -- South Africa -- West Coast
Deep-sea animals -- Effect of environment on
Environmental DNA
UCTD
Oosthuizen, Delene
Monitoring deep-sea benthic biodiversity using environmental DNA approaches to compare trawled and untrawled sites
title Monitoring deep-sea benthic biodiversity using environmental DNA approaches to compare trawled and untrawled sites
title_full Monitoring deep-sea benthic biodiversity using environmental DNA approaches to compare trawled and untrawled sites
title_fullStr Monitoring deep-sea benthic biodiversity using environmental DNA approaches to compare trawled and untrawled sites
title_full_unstemmed Monitoring deep-sea benthic biodiversity using environmental DNA approaches to compare trawled and untrawled sites
title_short Monitoring deep-sea benthic biodiversity using environmental DNA approaches to compare trawled and untrawled sites
title_sort monitoring deep sea benthic biodiversity using environmental dna approaches to compare trawled and untrawled sites
topic Deep-sea -- Ecology
Benthic community ecology
Benthic animals -- Effect of habitat modification on -- South Africa -- West Coast
Deep-sea animals -- Effect of environment on
Environmental DNA
UCTD
url http://hdl.handle.net/10019.1/123838
work_keys_str_mv AT oosthuizendelene monitoringdeepseabenthicbiodiversityusingenvironmentaldnaapproachestocomparetrawledanduntrawledsites