Genome-wide SNP datasets for the non-native pink salmon in Norway

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...

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Main Authors: Maduna, Simo Njabulo, Aspholm, Paul Eric, Hansen, Ane-Sofie Bednarczyk, Klütsch, Cornelya, Hagen, Snorre
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2024
Subjects:
Online Access:https://doi.org/10.5061/dryad.zw3r228f2
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spelling ftzenodo:oai:zenodo.org:10622291 2024-09-15T18:25:54+00:00 Genome-wide SNP datasets for the non-native pink salmon in Norway Maduna, Simo Njabulo Aspholm, Paul Eric Hansen, Ane-Sofie Bednarczyk Klütsch, Cornelya Hagen, Snorre 2024-02-05 https://doi.org/10.5061/dryad.zw3r228f2 unknown Zenodo https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.zw3r228f2 oai:zenodo.org:10622291 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode adaptive management invasive bridgehead effect non-indigenous species Oncorhynchus gorbuscha pink salmon info:eu-repo/semantics/other 2024 ftzenodo https://doi.org/10.5061/dryad.zw3r228f2 2024-07-27T05:45:32Z 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. 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 patterns of genetic diversity and gene flow within the pink salmon putative invasion hotspot. 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, upon 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. Our findings suggest that fluctuations of climate extreme events associated with ongoing climate change will likely maintain environmental favourability for the pink salmon outside its 'native'/introduced ranges. Local invaded rivers are themselves a potential source population of invaders in the ongoing secondary spread of pink salmon in Northern Norway. Our study shows that SDMs and genomic data can reveal species distribution determinants and provide indicators to aid in ... Other/Unknown Material Northern Norway Oncorhynchus gorbuscha Pink salmon Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic adaptive management
invasive bridgehead effect
non-indigenous species
Oncorhynchus gorbuscha
pink salmon
spellingShingle adaptive management
invasive bridgehead effect
non-indigenous species
Oncorhynchus gorbuscha
pink salmon
Maduna, Simo Njabulo
Aspholm, Paul Eric
Hansen, Ane-Sofie Bednarczyk
Klütsch, Cornelya
Hagen, Snorre
Genome-wide SNP datasets for the non-native pink salmon in Norway
topic_facet adaptive management
invasive bridgehead effect
non-indigenous species
Oncorhynchus gorbuscha
pink salmon
description 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. 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 patterns of genetic diversity and gene flow within the pink salmon putative invasion hotspot. 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, upon 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. Our findings suggest that fluctuations of climate extreme events associated with ongoing climate change will likely maintain environmental favourability for the pink salmon outside its 'native'/introduced ranges. Local invaded rivers are themselves a potential source population of invaders in the ongoing secondary spread of pink salmon in Northern Norway. Our study shows that SDMs and genomic data can reveal species distribution determinants and provide indicators to aid in ...
format Other/Unknown Material
author Maduna, Simo Njabulo
Aspholm, Paul Eric
Hansen, Ane-Sofie Bednarczyk
Klütsch, Cornelya
Hagen, Snorre
author_facet Maduna, Simo Njabulo
Aspholm, Paul Eric
Hansen, Ane-Sofie Bednarczyk
Klütsch, Cornelya
Hagen, Snorre
author_sort Maduna, Simo Njabulo
title Genome-wide SNP datasets for the non-native pink salmon in Norway
title_short Genome-wide SNP datasets for the non-native pink salmon in Norway
title_full Genome-wide SNP datasets for the non-native pink salmon in Norway
title_fullStr Genome-wide SNP datasets for the non-native pink salmon in Norway
title_full_unstemmed Genome-wide SNP datasets for the non-native pink salmon in Norway
title_sort genome-wide snp datasets for the non-native pink salmon in norway
publisher Zenodo
publishDate 2024
url https://doi.org/10.5061/dryad.zw3r228f2
genre Northern Norway
Oncorhynchus gorbuscha
Pink salmon
genre_facet Northern Norway
Oncorhynchus gorbuscha
Pink salmon
op_relation https://zenodo.org/communities/dryad
https://doi.org/10.5061/dryad.zw3r228f2
oai:zenodo.org:10622291
op_rights info:eu-repo/semantics/openAccess
Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
op_doi https://doi.org/10.5061/dryad.zw3r228f2
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