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A DNA barcode survey of insect biodiversity in Pakistan

Authors :
Ashfaq, Muhammad
Khan, Arif M.
Rasool, Akhtar
Akhtar, Saleem
Nazir, Naila
Ahmed, Nazeer
Manzoor, Farkhanda
Sones, Jayme
Perez, Kate
Sarwar, Ghulam
Khan, Azhar A.
Akhter, Muhammad
Saeed, Shafqat
Sultana, Riffat
Tahir, Hafiz Muhammad
Rafi, Muhammad A.
Iftikhar, Romana
Naseem, Muhammad Tayyib
Masood, Mariyam
Tufail, Muhammad
Kumar, Santosh
Afzal, Sabila
McKeown, Jaclyn
Samejo, Ahmed Ali
Khaliq, Imran
D'Souza, Michelle L.
Mansoor, Shahid
Hebert, Paul D. N.
Ashfaq, Muhammad
Khan, Arif M.
Rasool, Akhtar
Akhtar, Saleem
Nazir, Naila
Ahmed, Nazeer
Manzoor, Farkhanda
Sones, Jayme
Perez, Kate
Sarwar, Ghulam
Khan, Azhar A.
Akhter, Muhammad
Saeed, Shafqat
Sultana, Riffat
Tahir, Hafiz Muhammad
Rafi, Muhammad A.
Iftikhar, Romana
Naseem, Muhammad Tayyib
Masood, Mariyam
Tufail, Muhammad
Kumar, Santosh
Afzal, Sabila
McKeown, Jaclyn
Samejo, Ahmed Ali
Khaliq, Imran
D'Souza, Michelle L.
Mansoor, Shahid
Hebert, Paul D. N.
Source :
Ashfaq , M , Khan , A M , Rasool , A , Akhtar , S , Nazir , N , Ahmed , N , Manzoor , F , Sones , J , Perez , K , Sarwar , G , Khan , A A , Akhter , M , Saeed , S , Sultana , R , Tahir , H M , Rafi , M A , Iftikhar , R , Naseem , M T , Masood , M , Tufail , M , Kumar , S , Afzal , S , McKeown , J , Samejo , A A , Khaliq , I , D'Souza , M L , Mansoor , S & Hebert , P D N 2022 , ' A DNA barcode survey of insect biodiversity in Pakistan ' , PeerJ , vol. 10 , e13267 .
Publication Year :
2022

Abstract

Although Pakistan has rich biodiversity, many groups are poorly known, particularly insects. To address this gap, we employed DNA barcoding to survey its insect diversity. Specimens obtained through diverse collecting methods at 1,858 sites across Pakistan from 2010-2019 were examined for sequence variation in the 658 bp barcode region of the cytochrome c oxidase 1 (COI) gene. Sequences from nearly 49,000 specimens were assigned to 6,590 Barcode Index Numbers (BINs), a proxy for species, and most (88%) also possessed a representative image on the Barcode of Life Data System (BOLD). By coupling morphological inspections with barcode matches on BOLD, every BIN was assigned to an order (19) and most (99.8%) were placed to a family (362). However, just 40% of the BINs were assigned to a genus (1,375) and 21% to a species (1,364). Five orders (Coleoptera, Diptera, Hemiptera, Hymenoptera, Lepidoptera) accounted for 92% of the specimens and BINs. More than half of the BINs (59%) are so far only known from Pakistan, but others have also been reported from Bangladesh (13%), India (12%), and China (8%). Representing the first DNA barcode survey of the insect fauna in any South Asian country, this study provides the foundation for a complete inventory of the insect fauna in Pakistan while also contributing to the global DNA barcode reference library.

Details

Database :
OAIster
Journal :
Ashfaq , M , Khan , A M , Rasool , A , Akhtar , S , Nazir , N , Ahmed , N , Manzoor , F , Sones , J , Perez , K , Sarwar , G , Khan , A A , Akhter , M , Saeed , S , Sultana , R , Tahir , H M , Rafi , M A , Iftikhar , R , Naseem , M T , Masood , M , Tufail , M , Kumar , S , Afzal , S , McKeown , J , Samejo , A A , Khaliq , I , D'Souza , M L , Mansoor , S & Hebert , P D N 2022 , ' A DNA barcode survey of insect biodiversity in Pakistan ' , PeerJ , vol. 10 , e13267 .
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1340143570
Document Type :
Electronic Resource