The reconstruction of invasion histories with genomic data in light of differing levels of anthropogenic transport
The reconstruction of invasion histories with genomic data in light of differing levels of anthropogenic transport
Unravelling the history of range shifts is key for understanding past, current and future species distributions. Anthropogenic transport of species alters natural dispersal patterns and directly affects population connectivity. Studies have suggested that high levels of anthropogenic transport homogenize patterns of genetic differentiation and blur colonization pathways. However, empirical evidence of these effects remains elusive. We compared two range-shifting species (Microcosmus squamiger and Ciona robusta) to examine how anthropogenic transport affects our ability to reconstruct colonization pathways using genomic data. We first investigated shipping networks from the 18th century onwards, cross-referencing these with regions where the species have records to infer how each species has potentially been affected by different levels of anthropogenic transport. We then genotyped thousands of single-nucleotide polymorphisms from 280 M. squamiger and 190 C. robusta individuals collected across their extensive species' ranges and reconstructed colonization pathways. Differing levels of anthropogenic transport did not preclude the elucidation of population structure, though specific inferences of colonization pathways were difficult to discern in some of the considered scenario sets. We conclude that genomic data in combination with information of underlying introduction drivers provide key insights into the historic spread of range-shifting species.
Hudson, James
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Bourne, Steven
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Seebens, Hanno
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Chapman, Mark
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Rius, Marc
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Hudson, James
13270335-45dc-4760-aec9-38270359389a
Bourne, Steven
7a627258-0c23-491d-9fe9-1182d3ab849d
Seebens, Hanno
55765f31-772b-4beb-a08a-ebe83780ce4c
Chapman, Mark
8bac4a92-bfa7-4c3c-af29-9af852ef6383
Rius, Marc
c4e88345-4b4e-4428-b4b2-37229155f68d
Hudson, James, Bourne, Steven, Seebens, Hanno, Chapman, Mark and Rius, Marc
(2022)
The reconstruction of invasion histories with genomic data in light of differing levels of anthropogenic transport.
Proceedings of the Royal Society B: Biological Sciences, 377 (1846).
(doi:10.1098/rstb.2021.0023).
Abstract
Unravelling the history of range shifts is key for understanding past, current and future species distributions. Anthropogenic transport of species alters natural dispersal patterns and directly affects population connectivity. Studies have suggested that high levels of anthropogenic transport homogenize patterns of genetic differentiation and blur colonization pathways. However, empirical evidence of these effects remains elusive. We compared two range-shifting species (Microcosmus squamiger and Ciona robusta) to examine how anthropogenic transport affects our ability to reconstruct colonization pathways using genomic data. We first investigated shipping networks from the 18th century onwards, cross-referencing these with regions where the species have records to infer how each species has potentially been affected by different levels of anthropogenic transport. We then genotyped thousands of single-nucleotide polymorphisms from 280 M. squamiger and 190 C. robusta individuals collected across their extensive species' ranges and reconstructed colonization pathways. Differing levels of anthropogenic transport did not preclude the elucidation of population structure, though specific inferences of colonization pathways were difficult to discern in some of the considered scenario sets. We conclude that genomic data in combination with information of underlying introduction drivers provide key insights into the historic spread of range-shifting species.
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RSTB-2021-0023.R2_Proof_hi
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hudson-et-al-2022-the-reconstruction-of-invasion-histories-with-genomic-data-in-light-of-differing-levels-of
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Accepted/In Press date: 9 November 2021
e-pub ahead of print date: 24 January 2022
Identifiers
Local EPrints ID: 484571
URI: http://eprints.soton.ac.uk/id/eprint/484571
ISSN: 1471-2954
PURE UUID: d55659a0-8aa9-4b28-a54e-525fa429b7bf
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Date deposited: 16 Nov 2023 18:07
Last modified: 17 Mar 2024 03:31
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Author:
Steven Bourne
Author:
Hanno Seebens
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