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BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae)
DNA barcoding is highly effective for identifying specimens once a reference sequence library is available for the species assemblage targeted for analysis. Despite the great need for an improved capacity to identify the insect pests of crops, the use of DNA barcoding is constrained by the lack of a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6903727/ https://www.ncbi.nlm.nih.gov/pubmed/31821347 http://dx.doi.org/10.1371/journal.pone.0220426 |
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author | Naseem, Muhammad Tayyib Ashfaq, Muhammad Khan, Arif Muhammad Rasool, Akhtar Asif, Muhammad Hebert, Paul D. N. |
author_facet | Naseem, Muhammad Tayyib Ashfaq, Muhammad Khan, Arif Muhammad Rasool, Akhtar Asif, Muhammad Hebert, Paul D. N. |
author_sort | Naseem, Muhammad Tayyib |
collection | PubMed |
description | DNA barcoding is highly effective for identifying specimens once a reference sequence library is available for the species assemblage targeted for analysis. Despite the great need for an improved capacity to identify the insect pests of crops, the use of DNA barcoding is constrained by the lack of a well-parameterized reference library. The current study begins to address this limitation by developing a DNA barcode reference library for the pest aphids of Pakistan. It also examines the affinities of these species with conspecific populations from other geographic regions based on both conventional taxonomy and Barcode Index Numbers (BINs). A total of 809 aphids were collected from a range of plant species at sites across Pakistan. Morphological study and DNA barcoding allowed 774 specimens to be identified to one of 42 species while the others were placed to a genus or subfamily. Sequences obtained from these specimens were assigned to 52 BINs whose monophyly were supported by neighbor-joining (NJ) clustering and Bayesian inference. The 42 species were assigned to 41 BINs with 38 showing BIN concordance. These species were represented on BOLD by 7,870 records from 69 countries. Combining these records with those from Pakistan produced 60 BINs with 12 species showing a BIN split and three a BIN merger. Geo-distance correlations showed that intraspecific divergence values for 49% of the species were not affected by the distance between populations. Forty four of the 52 BINs from Pakistan had counterparts in 73 countries across six continents, documenting the broad distributions of pest aphids. |
format | Online Article Text |
id | pubmed-6903727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-69037272019-12-20 BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae) Naseem, Muhammad Tayyib Ashfaq, Muhammad Khan, Arif Muhammad Rasool, Akhtar Asif, Muhammad Hebert, Paul D. N. PLoS One Research Article DNA barcoding is highly effective for identifying specimens once a reference sequence library is available for the species assemblage targeted for analysis. Despite the great need for an improved capacity to identify the insect pests of crops, the use of DNA barcoding is constrained by the lack of a well-parameterized reference library. The current study begins to address this limitation by developing a DNA barcode reference library for the pest aphids of Pakistan. It also examines the affinities of these species with conspecific populations from other geographic regions based on both conventional taxonomy and Barcode Index Numbers (BINs). A total of 809 aphids were collected from a range of plant species at sites across Pakistan. Morphological study and DNA barcoding allowed 774 specimens to be identified to one of 42 species while the others were placed to a genus or subfamily. Sequences obtained from these specimens were assigned to 52 BINs whose monophyly were supported by neighbor-joining (NJ) clustering and Bayesian inference. The 42 species were assigned to 41 BINs with 38 showing BIN concordance. These species were represented on BOLD by 7,870 records from 69 countries. Combining these records with those from Pakistan produced 60 BINs with 12 species showing a BIN split and three a BIN merger. Geo-distance correlations showed that intraspecific divergence values for 49% of the species were not affected by the distance between populations. Forty four of the 52 BINs from Pakistan had counterparts in 73 countries across six continents, documenting the broad distributions of pest aphids. Public Library of Science 2019-12-10 /pmc/articles/PMC6903727/ /pubmed/31821347 http://dx.doi.org/10.1371/journal.pone.0220426 Text en © 2019 Naseem et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Naseem, Muhammad Tayyib Ashfaq, Muhammad Khan, Arif Muhammad Rasool, Akhtar Asif, Muhammad Hebert, Paul D. N. BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae) |
title | BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae) |
title_full | BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae) |
title_fullStr | BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae) |
title_full_unstemmed | BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae) |
title_short | BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae) |
title_sort | bin overlap confirms transcontinental distribution of pest aphids (hemiptera: aphididae) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6903727/ https://www.ncbi.nlm.nih.gov/pubmed/31821347 http://dx.doi.org/10.1371/journal.pone.0220426 |
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