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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Online Access: | http://dx.doi.org/10.1111/ddi.13811 https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.13811 |
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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 |
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Open Polar |
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Wiley Online Library |
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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 |
_version_ |
1800757944262852608 |