Literature DB >> 29202187

Identifying Anastrepha (Diptera; Tephritidae) Species Using DNA Barcodes.

Norman B Barr1, Raul Ruiz-Arce1, Roxanne E Farris1, Janisete Gomes Silva2, Kátia M Lima2, Vivian Siqueira Dutra3, Beatriz Ronchi-Teles3, Peter H Kerr4, Allen L Norrbom5, Norma Nolazco6, Donald B Thomas7.   

Abstract

Molecular identification of fruit flies in the genus Anastrepha (Diptera; Tephritidae) is important to support plant pest exclusion, suppression, and outbreak eradication. Morphological methods of identification of this economically important genus are often not sufficient to identify species when detected as immature life stages. DNA barcoding a segment of the mitochondrial cytochrome oxidase I gene has been proposed as a method to identify pests in the genus. The identification process for these fruit flies, however, has not been explained in prior DNA barcode studies. DNA barcode methods assume that available DNA sequence records are biologically meaningful. These records, however, can be limited to the most common species or lack population-level measurements of diversity for pests. In such cases, the available data used as a reference are insufficient for completing an accurate identification. Using 539 DNA sequence records from 74 species of Anastrepha, we demonstrate that our barcoding data can distinguish four plant pests: Anastrepha grandis (Macquart) (Diptera; Tephritidae), Anastrepha ludens (Loew), Anastrepha serpentina (Wiedemann), and Anastrepha striata Schiner. This is based on genetic distances of barcode records for the pests and expert evaluation of species and population representation in the data set. DNA barcoding of the cytochrome oxidase I gene alone cannot reliably diagnose the pests Anastrepha fraterculus (Wiedemann), Anastrepha obliqua (Macquart), and Anastrepha suspensa (Loew). Published by Oxford University Press on behalf of Entomological Society of America 2017. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Entities:  

Keywords:  Tephritidae; biosecurity; identification; molecular

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Year:  2018        PMID: 29202187     DOI: 10.1093/jee/tox300

Source DB:  PubMed          Journal:  J Econ Entomol        ISSN: 0022-0493            Impact factor:   2.381


  5 in total

1.  Genetic Characterization of Some Neoponera (Hymenoptera: Formicidae) Populations Within the foetida Species Complex.

Authors:  Rebeca P Santos; Cléa S F Mariano; Jacques H C Delabie; Marco A Costa; Kátia M Lima; Silvia G Pompolo; Itanna O Fernandes; Elder A Miranda; Antonio F Carvalho; Janisete G Silva
Journal:  J Insect Sci       Date:  2018-07-01       Impact factor: 1.857

2.  DNA barcoding reveals a species group of the genus Campiglossa (Diptera, Tephritidae, Tephritinae) with recognition of a new species from East Asia and previously unknown females of Campiglossa coei (Hardy).

Authors:  Ho-Yeon Han; Kyung-Eui Ro
Journal:  Zookeys       Date:  2019-12-12       Impact factor: 1.546

3.  New Species-Specific Primers for Molecular Diagnosis of Bactrocera minax and Bactrocera tsuneonis (Diptera: Tephritidae) in China Based on DNA Barcodes.

Authors:  Linyu Zheng; Yue Zhang; Wenzhao Yang; Yiying Zeng; Fan Jiang; Yujia Qin; Jiafeng Zhang; Zhaochun Jiang; Wenzhao Hu; Dijin Guo; Jia Wan; Zihua Zhao; Lijun Liu; Zhihong Li
Journal:  Insects       Date:  2019-12-12       Impact factor: 2.769

4.  Towards the implementation of a DNA barcode library for the identification of Peruvian species of Anastrepha (Diptera: Tephritidae).

Authors:  Ida Bartolini; Julio Rivera; Norma Nolazco; Arturo Olórtegui
Journal:  PLoS One       Date:  2020-01-31       Impact factor: 3.240

5.  Geographic distribution of sex chromosome polymorphism in Anastrepha fraterculus sp. 1 from Argentina.

Authors:  María Cecilia Giardini; Mariela Nieves; Alejandra Carla Scannapieco; Claudia Alejandra Conte; Fabián Horacio Milla; María Elena Schapovaloff; Maria Soledad Frissolo; María Isabel Remis; Jorge Luis Cladera; Silvia Beatriz Lanzavecchia
Journal:  BMC Genet       Date:  2020-12-18       Impact factor: 2.797

  5 in total

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