Final published version
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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - The distribution of coastal fish eDNA sequences in the Anthropocene
AU - Mathon, Laetitia
AU - Marques, Virginie
AU - Manel, Stéphanie
AU - Albouy, Camille
AU - Andrello, Marco
AU - Boulanger, Emilie
AU - Deter, Julie
AU - Hocdé, Régis
AU - Leprieur, Fabien
AU - Letessier, Tom B.
AU - Loiseau, Nicolas
AU - Maire, Eva
AU - Valentini, Alice
AU - Vigliola, Laurent
AU - Baletaud, Florian
AU - Bessudo, Sandra
AU - Dejean, Tony
AU - Faure, Nadia
AU - Guerin, Pierre‐Edouard
AU - Jucker, Meret
AU - Juhel, Jean‐Baptiste
AU - Kadarusman, null
AU - Polanco F., Andrea
AU - Pouyaud, Laurent
AU - Schwörer, Dario
AU - Thompson, Kirsten F.
AU - Troussellier, Marc
AU - Sugeha, Hagi Yulia
AU - Velez, Laure
AU - Zhang, Xiaowei
AU - Zhong, Wenjun
AU - Pellissier, Loïc
AU - Mouillot, David
PY - 2023/8/30
Y1 - 2023/8/30
N2 - Aim: Coastal fishes have a fundamental role in marine ecosystem functioning and contributions to people, but face increasing threats due to climate change, habitat degradation and overexploitation. The extent to which human pressures are impacting coastal fish biodiversity in comparison with geographic and environmental factors at large spatial scale is still under scrutiny. Here, we took advantage of environmental DNA (eDNA) metabarcoding to investigate the relationship between fish biodiversity, including taxonomic and genetic components, and environmental but also socio‐economic factors. Location: Tropical, temperate and polar coastal areas. Time period: Present day. Major taxa studied: Marine fishes. Methods: We analysed fish eDNA in 263 stations (samples) in 68 sites distributed across polar, temperate and tropical regions. We modelled the effect of environmental, geographic and socio‐economic factors on α‐ and β‐diversity. We then computed the partial effect of each factor on several fish biodiversity components using taxonomic molecular units (MOTU) and genetic sequences. We also investigated the relationship between fish genetic α‐ and β‐diversity measured from our barcodes, and phylogenetic but also functional diversity. Results: We show that fish eDNA MOTU and sequence α‐ and β‐diversity have the strongest correlation with environmental factors on coastal ecosystems worldwide. However, our models also reveal a negative correlation between biodiversity and human dependence on marine ecosystems. In areas with high dependence, diversity of all fish, cryptobenthic fish and large fish MOTUs declined steeply. Finally, we show that a sequence diversity index, accounting for genetic distance between pairs of MOTUs, within and between communities, is a reliable proxy of phylogenetic and functional diversity. Main conclusions: Together, our results demonstrate that short eDNA sequences can be used to assess climate and direct human impacts on marine biodiversity at large scale in the Anthropocene and can further be extended to investigate biodiversity in its phylogenetic and functional dimensions.
AB - Aim: Coastal fishes have a fundamental role in marine ecosystem functioning and contributions to people, but face increasing threats due to climate change, habitat degradation and overexploitation. The extent to which human pressures are impacting coastal fish biodiversity in comparison with geographic and environmental factors at large spatial scale is still under scrutiny. Here, we took advantage of environmental DNA (eDNA) metabarcoding to investigate the relationship between fish biodiversity, including taxonomic and genetic components, and environmental but also socio‐economic factors. Location: Tropical, temperate and polar coastal areas. Time period: Present day. Major taxa studied: Marine fishes. Methods: We analysed fish eDNA in 263 stations (samples) in 68 sites distributed across polar, temperate and tropical regions. We modelled the effect of environmental, geographic and socio‐economic factors on α‐ and β‐diversity. We then computed the partial effect of each factor on several fish biodiversity components using taxonomic molecular units (MOTU) and genetic sequences. We also investigated the relationship between fish genetic α‐ and β‐diversity measured from our barcodes, and phylogenetic but also functional diversity. Results: We show that fish eDNA MOTU and sequence α‐ and β‐diversity have the strongest correlation with environmental factors on coastal ecosystems worldwide. However, our models also reveal a negative correlation between biodiversity and human dependence on marine ecosystems. In areas with high dependence, diversity of all fish, cryptobenthic fish and large fish MOTUs declined steeply. Finally, we show that a sequence diversity index, accounting for genetic distance between pairs of MOTUs, within and between communities, is a reliable proxy of phylogenetic and functional diversity. Main conclusions: Together, our results demonstrate that short eDNA sequences can be used to assess climate and direct human impacts on marine biodiversity at large scale in the Anthropocene and can further be extended to investigate biodiversity in its phylogenetic and functional dimensions.
KW - RESEARCH ARTICLE
KW - RESEARCH ARTICLES
KW - coastal fish communities
KW - environmental DNA
KW - environmental factors
KW - socio‐economic factors
KW - α‐ and β‐diversity
U2 - 10.1111/geb.13698
DO - 10.1111/geb.13698
M3 - Journal article
VL - 32
SP - 1336
EP - 1352
JO - Global Ecology and Biogeography
JF - Global Ecology and Biogeography
SN - 1466-822X
IS - 8
ER -