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Range‐wide population genomics of the Mexican fruit fly: Toward development of pathway analysis tools
Recurrently invading pests provide unique challenges for pest management, but also present opportunities to utilize genomics to understand invasion dynamics and inform regulatory management through pathway analysis. In the southern United States, the Mexican fruit fly Anastrepha ludens is such a pes...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708432/ https://www.ncbi.nlm.nih.gov/pubmed/31462920 http://dx.doi.org/10.1111/eva.12824 |
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author | Dupuis, Julian R. Ruiz‐Arce, Raul Barr, Norman B. Thomas, Donald B. Geib, Scott M. |
author_facet | Dupuis, Julian R. Ruiz‐Arce, Raul Barr, Norman B. Thomas, Donald B. Geib, Scott M. |
author_sort | Dupuis, Julian R. |
collection | PubMed |
description | Recurrently invading pests provide unique challenges for pest management, but also present opportunities to utilize genomics to understand invasion dynamics and inform regulatory management through pathway analysis. In the southern United States, the Mexican fruit fly Anastrepha ludens is such a pest, and its incursions into Texas and California represent major threats to the agricultural systems of those regions. We developed a draft genome assembly for A. ludens, conducted range‐wide population genomics using restriction site‐associated DNA sequencing, and then developed and demonstrated a panel of highly differentiated diagnostic SNPs for source determination of intercepted flies in this system. Using 2,081 genomewide SNPs, we identified four populations across the range of A. ludens, corresponding to western Mexico, eastern Mexico/Texas, Guatemala/Belize/Honduras, and Costa Rica/Panama, with some intergradation present between clusters, particularly in Central America. From this population genomics framework, we developed a diagnostic panel of 28 highly differentiated SNPs that were able to recreate the genomewide population structure in this species. We demonstrated this panel on a set of test specimens, including specimens intercepted as part of regular trapping surveillance in Texas and California, and we were able to predict populations of origin for these specimens. This methodology presents a highly applied use of genomic techniques and can be implemented in any group of recurrently invading pests. |
format | Online Article Text |
id | pubmed-6708432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67084322019-08-28 Range‐wide population genomics of the Mexican fruit fly: Toward development of pathway analysis tools Dupuis, Julian R. Ruiz‐Arce, Raul Barr, Norman B. Thomas, Donald B. Geib, Scott M. Evol Appl Original Articles Recurrently invading pests provide unique challenges for pest management, but also present opportunities to utilize genomics to understand invasion dynamics and inform regulatory management through pathway analysis. In the southern United States, the Mexican fruit fly Anastrepha ludens is such a pest, and its incursions into Texas and California represent major threats to the agricultural systems of those regions. We developed a draft genome assembly for A. ludens, conducted range‐wide population genomics using restriction site‐associated DNA sequencing, and then developed and demonstrated a panel of highly differentiated diagnostic SNPs for source determination of intercepted flies in this system. Using 2,081 genomewide SNPs, we identified four populations across the range of A. ludens, corresponding to western Mexico, eastern Mexico/Texas, Guatemala/Belize/Honduras, and Costa Rica/Panama, with some intergradation present between clusters, particularly in Central America. From this population genomics framework, we developed a diagnostic panel of 28 highly differentiated SNPs that were able to recreate the genomewide population structure in this species. We demonstrated this panel on a set of test specimens, including specimens intercepted as part of regular trapping surveillance in Texas and California, and we were able to predict populations of origin for these specimens. This methodology presents a highly applied use of genomic techniques and can be implemented in any group of recurrently invading pests. John Wiley and Sons Inc. 2019-06-13 /pmc/articles/PMC6708432/ /pubmed/31462920 http://dx.doi.org/10.1111/eva.12824 Text en © 2019 The Authors. Evolutionary Applications 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 Articles Dupuis, Julian R. Ruiz‐Arce, Raul Barr, Norman B. Thomas, Donald B. Geib, Scott M. Range‐wide population genomics of the Mexican fruit fly: Toward development of pathway analysis tools |
title | Range‐wide population genomics of the Mexican fruit fly: Toward development of pathway analysis tools |
title_full | Range‐wide population genomics of the Mexican fruit fly: Toward development of pathway analysis tools |
title_fullStr | Range‐wide population genomics of the Mexican fruit fly: Toward development of pathway analysis tools |
title_full_unstemmed | Range‐wide population genomics of the Mexican fruit fly: Toward development of pathway analysis tools |
title_short | Range‐wide population genomics of the Mexican fruit fly: Toward development of pathway analysis tools |
title_sort | range‐wide population genomics of the mexican fruit fly: toward development of pathway analysis tools |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708432/ https://www.ncbi.nlm.nih.gov/pubmed/31462920 http://dx.doi.org/10.1111/eva.12824 |
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