Cargando…

Environmental DNA Metabarcoding as a Means of Estimating Species Diversity in an Urban Aquatic Ecosystem

SIMPLE SUMMARY: Cities are the fastest developing ecosystems on the planet. The rapid expansion of urban areas is typically seen as a threat to global biodiversity, yet the role of cities in protecting species that may be rare in the wild remains poorly explored. Here, we report the use of environme...

Descripción completa

Detalles Bibliográficos
Autores principales: Webster, Heather J., Emami-Khoyi, Arsalan, van Dyk, Jacobus C., Teske, Peter R., Jansen van Vuuren, Bettine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695161/
https://www.ncbi.nlm.nih.gov/pubmed/33171859
http://dx.doi.org/10.3390/ani10112064
_version_ 1783615126722576384
author Webster, Heather J.
Emami-Khoyi, Arsalan
van Dyk, Jacobus C.
Teske, Peter R.
Jansen van Vuuren, Bettine
author_facet Webster, Heather J.
Emami-Khoyi, Arsalan
van Dyk, Jacobus C.
Teske, Peter R.
Jansen van Vuuren, Bettine
author_sort Webster, Heather J.
collection PubMed
description SIMPLE SUMMARY: Cities are the fastest developing ecosystems on the planet. The rapid expansion of urban areas is typically seen as a threat to global biodiversity, yet the role of cities in protecting species that may be rare in the wild remains poorly explored. Here, we report the use of environmental DNA (eDNA) to document the species present in one of the largest urban green spaces in Johannesburg, South Africa. We document a surprisingly large number of taxonomic groups, including some rare and threatened species. Our results support the notion that urban green spaces can provide refuge to a large number of species, and the species inventory provides critical information that can be used by city parks managers to conserve green spaces. ABSTRACT: Adaptation to environments that are changing as a result of human activities is critical to species’ survival. A large number of species are adapting to, and even thriving in, urban green spaces, but this diversity remains largely undocumented. In the current study, we explored the potential of environmental DNA (eDNA) to document species diversity in one of the largest green spaces in Johannesburg, South Africa. Using a novel metabarcoding approach that assembles short DNA fragments suitable for massively parallel sequencing platforms to the approximate standard ~710 bp COI barcoding fragment, we document the presence of 26 phyla, 52 classes, 134 orders, 289 families, 380 genera and 522 known species from the study site. Our results highlight the critical role that urban areas play in protecting the world’s declining biodiversity.
format Online
Article
Text
id pubmed-7695161
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-76951612020-11-28 Environmental DNA Metabarcoding as a Means of Estimating Species Diversity in an Urban Aquatic Ecosystem Webster, Heather J. Emami-Khoyi, Arsalan van Dyk, Jacobus C. Teske, Peter R. Jansen van Vuuren, Bettine Animals (Basel) Article SIMPLE SUMMARY: Cities are the fastest developing ecosystems on the planet. The rapid expansion of urban areas is typically seen as a threat to global biodiversity, yet the role of cities in protecting species that may be rare in the wild remains poorly explored. Here, we report the use of environmental DNA (eDNA) to document the species present in one of the largest urban green spaces in Johannesburg, South Africa. We document a surprisingly large number of taxonomic groups, including some rare and threatened species. Our results support the notion that urban green spaces can provide refuge to a large number of species, and the species inventory provides critical information that can be used by city parks managers to conserve green spaces. ABSTRACT: Adaptation to environments that are changing as a result of human activities is critical to species’ survival. A large number of species are adapting to, and even thriving in, urban green spaces, but this diversity remains largely undocumented. In the current study, we explored the potential of environmental DNA (eDNA) to document species diversity in one of the largest green spaces in Johannesburg, South Africa. Using a novel metabarcoding approach that assembles short DNA fragments suitable for massively parallel sequencing platforms to the approximate standard ~710 bp COI barcoding fragment, we document the presence of 26 phyla, 52 classes, 134 orders, 289 families, 380 genera and 522 known species from the study site. Our results highlight the critical role that urban areas play in protecting the world’s declining biodiversity. MDPI 2020-11-07 /pmc/articles/PMC7695161/ /pubmed/33171859 http://dx.doi.org/10.3390/ani10112064 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Webster, Heather J.
Emami-Khoyi, Arsalan
van Dyk, Jacobus C.
Teske, Peter R.
Jansen van Vuuren, Bettine
Environmental DNA Metabarcoding as a Means of Estimating Species Diversity in an Urban Aquatic Ecosystem
title Environmental DNA Metabarcoding as a Means of Estimating Species Diversity in an Urban Aquatic Ecosystem
title_full Environmental DNA Metabarcoding as a Means of Estimating Species Diversity in an Urban Aquatic Ecosystem
title_fullStr Environmental DNA Metabarcoding as a Means of Estimating Species Diversity in an Urban Aquatic Ecosystem
title_full_unstemmed Environmental DNA Metabarcoding as a Means of Estimating Species Diversity in an Urban Aquatic Ecosystem
title_short Environmental DNA Metabarcoding as a Means of Estimating Species Diversity in an Urban Aquatic Ecosystem
title_sort environmental dna metabarcoding as a means of estimating species diversity in an urban aquatic ecosystem
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695161/
https://www.ncbi.nlm.nih.gov/pubmed/33171859
http://dx.doi.org/10.3390/ani10112064
work_keys_str_mv AT websterheatherj environmentaldnametabarcodingasameansofestimatingspeciesdiversityinanurbanaquaticecosystem
AT emamikhoyiarsalan environmentaldnametabarcodingasameansofestimatingspeciesdiversityinanurbanaquaticecosystem
AT vandykjacobusc environmentaldnametabarcodingasameansofestimatingspeciesdiversityinanurbanaquaticecosystem
AT teskepeterr environmentaldnametabarcodingasameansofestimatingspeciesdiversityinanurbanaquaticecosystem
AT jansenvanvuurenbettine environmentaldnametabarcodingasameansofestimatingspeciesdiversityinanurbanaquaticecosystem