Ecological niche modelling and population genomics provide insights into the geographic and demographic ‘explosion’ of a non‐indigenous salmonid

Abstract Aim Effective management of non‐indigenous species requires knowledge of their dispersal factors and founder events. We aim to identify the main environmental drivers favouring dispersal events along the invasion gradient and to characterize the spatial patterns of genetic diversity in fera...

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Published in:Diversity and Distributions
Main Authors: Maduna, Simo Njabulo, Aspholm, Paul Eric, Hansen, Ane‐Sofie Bednarczyk, Klütsch, Cornelya F. C., Hagen, Snorre B.
Other Authors: Norsk institutt for Bioøkonomi
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2024
Subjects:
Online Access:http://dx.doi.org/10.1111/ddi.13811
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.13811
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spelling crwiley:10.1111/ddi.13811 2024-06-02T08:11:43+00:00 Ecological niche modelling and population genomics provide insights into the geographic and demographic ‘explosion’ of a non‐indigenous salmonid Maduna, Simo Njabulo Aspholm, Paul Eric Hansen, Ane‐Sofie Bednarczyk Klütsch, Cornelya F. C. Hagen, Snorre B. Norsk institutt for Bioøkonomi 2024 http://dx.doi.org/10.1111/ddi.13811 https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.13811 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Diversity and Distributions volume 30, issue 3 ISSN 1366-9516 1472-4642 journal-article 2024 crwiley https://doi.org/10.1111/ddi.13811 2024-05-03T11:15:43Z Abstract Aim Effective management of non‐indigenous species requires knowledge of their dispersal factors and founder events. We aim to identify the main environmental drivers favouring dispersal events along the invasion gradient and to characterize the spatial patterns of genetic diversity in feral populations of the non‐native pink salmon within its epicentre of invasion in Norway. Location Mainland Norway and North Atlantic Basin. Methods We first conducted SDM using four modelling techniques with varying levels of complexity, which encompassed both regression‐based and tree‐based machine‐learning algorithms, using climatic data from the present to 2050. Then, we used the triple‐enzyme restriction‐site associated DNA sequencing (3RADseq) approach to genotype over 30,000 high‐quality single‐nucleotide polymorphisms to elucidate the patterns of genetic diversity and gene flow within the pink salmon putative invasion hotspot. Results We discovered temperature‐ and precipitation‐related variables drove pink salmon distributional shifts across its non‐native ranges and that climate‐induced favourable areas will remain stable for the next 30 years. In addition, all SDMs identified north‐eastern Norway as the epicentre of the pink salmon invasion, and genomic data revealed that there was minimal variation in genetic diversity across the sampled populations at a genome‐wide level in this region. While utilizing a specific group of ‘diagnostic’ SNPs, we observed a significant degree of genetic differentiation, ranging from moderate to substantial, and detected four hierarchical genetic clusters concordant with geography. Main Conclusions Our findings suggest that fluctuations in climate extreme events associated with ongoing climate change will likely maintain environmental favourability for the pink salmon outside its ‘native’/introduced ranges. Locally invaded rivers are themselves potential source populations of invaders in the ongoing secondary spread of pink salmon in Northern Norway. Our study shows that SDMs ... Article in Journal/Newspaper North Atlantic Northern Norway Pink salmon Wiley Online Library Norway Diversity and Distributions
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract Aim Effective management of non‐indigenous species requires knowledge of their dispersal factors and founder events. We aim to identify the main environmental drivers favouring dispersal events along the invasion gradient and to characterize the spatial patterns of genetic diversity in feral populations of the non‐native pink salmon within its epicentre of invasion in Norway. Location Mainland Norway and North Atlantic Basin. Methods We first conducted SDM using four modelling techniques with varying levels of complexity, which encompassed both regression‐based and tree‐based machine‐learning algorithms, using climatic data from the present to 2050. Then, we used the triple‐enzyme restriction‐site associated DNA sequencing (3RADseq) approach to genotype over 30,000 high‐quality single‐nucleotide polymorphisms to elucidate the patterns of genetic diversity and gene flow within the pink salmon putative invasion hotspot. Results We discovered temperature‐ and precipitation‐related variables drove pink salmon distributional shifts across its non‐native ranges and that climate‐induced favourable areas will remain stable for the next 30 years. In addition, all SDMs identified north‐eastern Norway as the epicentre of the pink salmon invasion, and genomic data revealed that there was minimal variation in genetic diversity across the sampled populations at a genome‐wide level in this region. While utilizing a specific group of ‘diagnostic’ SNPs, we observed a significant degree of genetic differentiation, ranging from moderate to substantial, and detected four hierarchical genetic clusters concordant with geography. Main Conclusions Our findings suggest that fluctuations in climate extreme events associated with ongoing climate change will likely maintain environmental favourability for the pink salmon outside its ‘native’/introduced ranges. Locally invaded rivers are themselves potential source populations of invaders in the ongoing secondary spread of pink salmon in Northern Norway. Our study shows that SDMs ...
author2 Norsk institutt for Bioøkonomi
format Article in Journal/Newspaper
author Maduna, Simo Njabulo
Aspholm, Paul Eric
Hansen, Ane‐Sofie Bednarczyk
Klütsch, Cornelya F. C.
Hagen, Snorre B.
spellingShingle Maduna, Simo Njabulo
Aspholm, Paul Eric
Hansen, Ane‐Sofie Bednarczyk
Klütsch, Cornelya F. C.
Hagen, Snorre B.
Ecological niche modelling and population genomics provide insights into the geographic and demographic ‘explosion’ of a non‐indigenous salmonid
author_facet Maduna, Simo Njabulo
Aspholm, Paul Eric
Hansen, Ane‐Sofie Bednarczyk
Klütsch, Cornelya F. C.
Hagen, Snorre B.
author_sort Maduna, Simo Njabulo
title Ecological niche modelling and population genomics provide insights into the geographic and demographic ‘explosion’ of a non‐indigenous salmonid
title_short Ecological niche modelling and population genomics provide insights into the geographic and demographic ‘explosion’ of a non‐indigenous salmonid
title_full Ecological niche modelling and population genomics provide insights into the geographic and demographic ‘explosion’ of a non‐indigenous salmonid
title_fullStr Ecological niche modelling and population genomics provide insights into the geographic and demographic ‘explosion’ of a non‐indigenous salmonid
title_full_unstemmed Ecological niche modelling and population genomics provide insights into the geographic and demographic ‘explosion’ of a non‐indigenous salmonid
title_sort ecological niche modelling and population genomics provide insights into the geographic and demographic ‘explosion’ of a non‐indigenous salmonid
publisher Wiley
publishDate 2024
url http://dx.doi.org/10.1111/ddi.13811
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.13811
geographic Norway
geographic_facet Norway
genre North Atlantic
Northern Norway
Pink salmon
genre_facet North Atlantic
Northern Norway
Pink salmon
op_source Diversity and Distributions
volume 30, issue 3
ISSN 1366-9516 1472-4642
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1111/ddi.13811
container_title Diversity and Distributions
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