Cargando…

Evaluating the accuracy of morphological identification of insect pests of rice crops using DNA barcoding

Accurate identification of agricultural pests is key requirement for the successful integrated pest management (IPM) program. However, due to limitations of conventional morphological methods, other molecular method like DNA barcoding is used. The current study was designed to evaluate the accuracy...

Descripción completa

Detalles Bibliográficos
Autores principales: Tahir, Hafiz Muhammad, Noor, Alina, Mehmood, Sana, Sherawat, Sher Muhammad, Qazi, Muhammad Akram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7800583/
https://www.ncbi.nlm.nih.gov/pubmed/33474470
http://dx.doi.org/10.1080/23802359.2018.1532334
_version_ 1783635388399616000
author Tahir, Hafiz Muhammad
Noor, Alina
Mehmood, Sana
Sherawat, Sher Muhammad
Qazi, Muhammad Akram
author_facet Tahir, Hafiz Muhammad
Noor, Alina
Mehmood, Sana
Sherawat, Sher Muhammad
Qazi, Muhammad Akram
author_sort Tahir, Hafiz Muhammad
collection PubMed
description Accurate identification of agricultural pests is key requirement for the successful integrated pest management (IPM) program. However, due to limitations of conventional morphological methods, other molecular method like DNA barcoding is used. The current study was designed to evaluate the accuracy of morphological identification of insect pests using DNA barcoding. Morphologically, a total of 247 insect pests, representing 10 families, 18 genera, 22 species were identified. However, molecular identifications confirmed the presence of 11 families, 16 genera, and 20 species of agricultural pests. A total of 59 specimens were processed for DNA barcoding but genomic sequences of mt COI gene up to 600 bp were revived from 48 samples. Specimens that were misidentified through morphological studies were placed to their appropriate taxon, using this molecular approach. Results revealed the existence of clear barcode gap for different pest species. Moreover, the values of distance with the nearest neighbour recorded were higher than the maximum intra-sequence divergences for all species. It is concluded that DNA barcoding is a reliable technique for identification of agricultural pests, especially for immature stages when morphometric studies are ambiguous and will be helpful in the development of more effective pest management options for regulating pest species.
format Online
Article
Text
id pubmed-7800583
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Taylor & Francis
record_format MEDLINE/PubMed
spelling pubmed-78005832021-01-19 Evaluating the accuracy of morphological identification of insect pests of rice crops using DNA barcoding Tahir, Hafiz Muhammad Noor, Alina Mehmood, Sana Sherawat, Sher Muhammad Qazi, Muhammad Akram Mitochondrial DNA B Resour Mito Communication Accurate identification of agricultural pests is key requirement for the successful integrated pest management (IPM) program. However, due to limitations of conventional morphological methods, other molecular method like DNA barcoding is used. The current study was designed to evaluate the accuracy of morphological identification of insect pests using DNA barcoding. Morphologically, a total of 247 insect pests, representing 10 families, 18 genera, 22 species were identified. However, molecular identifications confirmed the presence of 11 families, 16 genera, and 20 species of agricultural pests. A total of 59 specimens were processed for DNA barcoding but genomic sequences of mt COI gene up to 600 bp were revived from 48 samples. Specimens that were misidentified through morphological studies were placed to their appropriate taxon, using this molecular approach. Results revealed the existence of clear barcode gap for different pest species. Moreover, the values of distance with the nearest neighbour recorded were higher than the maximum intra-sequence divergences for all species. It is concluded that DNA barcoding is a reliable technique for identification of agricultural pests, especially for immature stages when morphometric studies are ambiguous and will be helpful in the development of more effective pest management options for regulating pest species. Taylor & Francis 2018-10-26 /pmc/articles/PMC7800583/ /pubmed/33474470 http://dx.doi.org/10.1080/23802359.2018.1532334 Text en © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 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 work is properly cited.http://creativecommons.org/licenses/by/4.0/
spellingShingle Mito Communication
Tahir, Hafiz Muhammad
Noor, Alina
Mehmood, Sana
Sherawat, Sher Muhammad
Qazi, Muhammad Akram
Evaluating the accuracy of morphological identification of insect pests of rice crops using DNA barcoding
title Evaluating the accuracy of morphological identification of insect pests of rice crops using DNA barcoding
title_full Evaluating the accuracy of morphological identification of insect pests of rice crops using DNA barcoding
title_fullStr Evaluating the accuracy of morphological identification of insect pests of rice crops using DNA barcoding
title_full_unstemmed Evaluating the accuracy of morphological identification of insect pests of rice crops using DNA barcoding
title_short Evaluating the accuracy of morphological identification of insect pests of rice crops using DNA barcoding
title_sort evaluating the accuracy of morphological identification of insect pests of rice crops using dna barcoding
topic Mito Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7800583/
https://www.ncbi.nlm.nih.gov/pubmed/33474470
http://dx.doi.org/10.1080/23802359.2018.1532334
work_keys_str_mv AT tahirhafizmuhammad evaluatingtheaccuracyofmorphologicalidentificationofinsectpestsofricecropsusingdnabarcoding
AT nooralina evaluatingtheaccuracyofmorphologicalidentificationofinsectpestsofricecropsusingdnabarcoding
AT mehmoodsana evaluatingtheaccuracyofmorphologicalidentificationofinsectpestsofricecropsusingdnabarcoding
AT sherawatshermuhammad evaluatingtheaccuracyofmorphologicalidentificationofinsectpestsofricecropsusingdnabarcoding
AT qazimuhammadakram evaluatingtheaccuracyofmorphologicalidentificationofinsectpestsofricecropsusingdnabarcoding