Manuscript Title:

DNA BAR-CODING FOR IDENTIFICATION OF LOCAL AND EXOTIC INSECT SPECIES IN JINNAH GARDEN, LAHORE

Author:

SABA ABAID UR REHMAN, SABA MUMTAZ, YAMINA KHALID, SITARA SIDDIQUE, HUMAIRA KHATOON, SADAF TARIQ

DOI Number:

DOI:10.5281/zenodo.12684562

Published : 2024-06-23

About the author(s)

1. SABA ABAID UR REHMAN - Lahore College for Women University, Lahore (LCWU).
2. SABA MUMTAZ - University of Soaking.
3. YAMINA KHALID - University of Education, Bank Road Campus, Lahore.
4. SITARA SIDDIQUE - Lahore College for Women University, Lahore (LCWU).
5. HUMAIRA KHATOON - Lahore College for Women University, Lahore (LCWU).
6. SADAF TARIQ - Lahore College for Women University, Lahore (LCWU).

Full Text : PDF

Abstract

DNA bar-coding is molecular identification of the world's insect fauna through the cytochrome c oxidase I (COI) gene. Pakistan has abundant biodiversity, many insect species had unknown classifications. In order to fill this gap, we used DNA bar-coding to survey the variety of insects, taxonomy identification and identify new insect species. The current investigation aims to differentiate among species at the order and family level. Almost 244499 insect specimens were collected through a Malaise trap in Jinnah Garden Lahore, Pakistan during 2021–2022. Collected samples were morphologically characterized in the Entomology Research Laboratory of LCWU, Pakistan for further molecular identification through the COI gene. Almost 1362 DNA barcodes were generated by submitting of COI gene of 8948 insect species on the BOLD and (96%) also had a visualization picture. Approximately 1362 BINs included 205 local insects (15.05% Unique insects) BINs and 1157 exotic insect (84.94% Non-unique insects) BINs. Local insect species contain a total of 9 orders and 17 orders of exotic insect species are identified. An overall total 4 classes and 17 orders of the local and exotic insect species were reported. Three orders represented 92.56% of the specimens: Diptera (66.80%), Hymenoptera (15.87%) and Hemiptera (9.92%). Two orders Coleoptera and Lepidoptera had 2.73% and 1.44% respectively. Most 88.26% specimens were place to a family (173). Therefore, current study is offered full and accurate key for identification different insect’s fauna at family level of Pakistan. It is refilling the taxonomic and scientific gap in the species identification of Pakistan's insect fauna.


Keywords

DNA BAR-CODING FOR IDENTIFICATION OF LOCAL AND EXOTIC INSECT SPECIES IN JINNAH GARDEN, LAHORE