TY - JOUR
T1 - A DNA barcode survey of insect biodiversity in Pakistan
AU - Ashfaq, Muhammad
AU - Khan, Arif M.
AU - Rasool, Akhtar
AU - Akhtar, Saleem
AU - Nazir, Naila
AU - Ahmed, Nazeer
AU - Manzoor, Farkhanda
AU - Sones, Jayme
AU - Perez, Kate
AU - Sarwar, Ghulam
AU - Khan, Azhar A.
AU - Akhter, Muhammad
AU - Saeed, Shafqat
AU - Sultana, Riffat
AU - Tahir, Hafiz Muhammad
AU - Rafi, Muhammad A.
AU - Iftikhar, Romana
AU - Naseem, Muhammad Tayyib
AU - Masood, Mariyam
AU - Tufail, Muhammad
AU - Kumar, Santosh
AU - Afzal, Sabila
AU - McKeown, Jaclyn
AU - Samejo, Ahmed Ali
AU - Khaliq, Imran
AU - D'Souza, Michelle L.
AU - Mansoor, Shahid
AU - Hebert, Paul D. N.
N1 - © 2022 Ashfaq et al.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
U2 - 10.7717/peerj.13267
DO - 10.7717/peerj.13267
M3 - Journal article
C2 - 35497186
SN - 2167-8359
VL - 10
JO - PeerJ
JF - PeerJ
M1 - e13267
ER -