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Disjunction between canola distribution and the genetic structure of its recently described pest, the canola flower midge (Contarinia brassicola)

Population genomics is a useful tool to support integrated pest management as it can elucidate population dynamics, demography, and histories of invasion. Here, we use a restriction site‐associated DNA sequencing approach combined with whole‐genome amplification (WGA) to assess genomic population st...

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Autores principales: Campbell, Erin O., Dupuis, Julian R., Holowachuk, Jennifer, Hladun, Shane, Vankosky, Meghan A., Mori, Boyd A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713945/
https://www.ncbi.nlm.nih.gov/pubmed/33304537
http://dx.doi.org/10.1002/ece3.6927
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author Campbell, Erin O.
Dupuis, Julian R.
Holowachuk, Jennifer
Hladun, Shane
Vankosky, Meghan A.
Mori, Boyd A.
author_facet Campbell, Erin O.
Dupuis, Julian R.
Holowachuk, Jennifer
Hladun, Shane
Vankosky, Meghan A.
Mori, Boyd A.
author_sort Campbell, Erin O.
collection PubMed
description Population genomics is a useful tool to support integrated pest management as it can elucidate population dynamics, demography, and histories of invasion. Here, we use a restriction site‐associated DNA sequencing approach combined with whole‐genome amplification (WGA) to assess genomic population structure of a newly described pest of canola, the diminutive canola flower midge, Contarinia brassicola. Clustering analyses recovered little geographic structure across the main canola production region but differentiated several geographically disparate populations at edges of the agricultural zone. Given a lack of alternative hypotheses for this pattern, we suggest these data support alternative hosts for this species and thus our canola‐centric view of this midge as a pest has limited our understanding of its biology. These results speak to the need for increased surveying efforts across multiple habitats and other potential hosts within Brassicaceae to improve both our ecological and evolutionary knowledge of this species and contribute to effective management strategies. We additionally found that use of WGA prior to library preparation was an effective method for increasing DNA quantity of these small insects prior to restriction site‐associated DNA sequencing and had no discernible impact on genotyping consistency for population genetic analysis; WGA is therefore likely to be tractable for other similar studies that seek to randomly sample markers across the genome in small organisms.
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spelling pubmed-77139452020-12-09 Disjunction between canola distribution and the genetic structure of its recently described pest, the canola flower midge (Contarinia brassicola) Campbell, Erin O. Dupuis, Julian R. Holowachuk, Jennifer Hladun, Shane Vankosky, Meghan A. Mori, Boyd A. Ecol Evol Original Research Population genomics is a useful tool to support integrated pest management as it can elucidate population dynamics, demography, and histories of invasion. Here, we use a restriction site‐associated DNA sequencing approach combined with whole‐genome amplification (WGA) to assess genomic population structure of a newly described pest of canola, the diminutive canola flower midge, Contarinia brassicola. Clustering analyses recovered little geographic structure across the main canola production region but differentiated several geographically disparate populations at edges of the agricultural zone. Given a lack of alternative hypotheses for this pattern, we suggest these data support alternative hosts for this species and thus our canola‐centric view of this midge as a pest has limited our understanding of its biology. These results speak to the need for increased surveying efforts across multiple habitats and other potential hosts within Brassicaceae to improve both our ecological and evolutionary knowledge of this species and contribute to effective management strategies. We additionally found that use of WGA prior to library preparation was an effective method for increasing DNA quantity of these small insects prior to restriction site‐associated DNA sequencing and had no discernible impact on genotyping consistency for population genetic analysis; WGA is therefore likely to be tractable for other similar studies that seek to randomly sample markers across the genome in small organisms. John Wiley and Sons Inc. 2020-10-26 /pmc/articles/PMC7713945/ /pubmed/33304537 http://dx.doi.org/10.1002/ece3.6927 Text en © 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Campbell, Erin O.
Dupuis, Julian R.
Holowachuk, Jennifer
Hladun, Shane
Vankosky, Meghan A.
Mori, Boyd A.
Disjunction between canola distribution and the genetic structure of its recently described pest, the canola flower midge (Contarinia brassicola)
title Disjunction between canola distribution and the genetic structure of its recently described pest, the canola flower midge (Contarinia brassicola)
title_full Disjunction between canola distribution and the genetic structure of its recently described pest, the canola flower midge (Contarinia brassicola)
title_fullStr Disjunction between canola distribution and the genetic structure of its recently described pest, the canola flower midge (Contarinia brassicola)
title_full_unstemmed Disjunction between canola distribution and the genetic structure of its recently described pest, the canola flower midge (Contarinia brassicola)
title_short Disjunction between canola distribution and the genetic structure of its recently described pest, the canola flower midge (Contarinia brassicola)
title_sort disjunction between canola distribution and the genetic structure of its recently described pest, the canola flower midge (contarinia brassicola)
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713945/
https://www.ncbi.nlm.nih.gov/pubmed/33304537
http://dx.doi.org/10.1002/ece3.6927
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