Molecular Characterization of Pollinators in Cotton Ecosystem

Authors

  • Kavita Bajaj Department of Entomology, Punjab Agricultural University, Ludhiana 141004, Punjab
  • Pardeep Kumar Chhuneja Department of Entomology, Punjab Agricultural University, Ludhiana 141004, Punjab
  • Bharathi Mohindru Department of Entomology, Punjab Agricultural University, Ludhiana 141004, Punjab
  • Jaspal Singh Department of Entomology, Punjab Agricultural University, Ludhiana 141004, Punjab

DOI:

https://doi.org/10.55446/IJE.2023.1073

Keywords:

Cotton, pollinator fauna, Apis dorsata, Apis florea, Xylocopa fenestrata, Sceliphron madraspatanum, Polistes wattii, Eristalinus quinquelineatus, Musca convexifrons, DNA barcode, mtCO1, phylogeny

Abstract

DNA barcoding using cytochrome c oxidase I (mtCO1) for molecular characterization is a taxonomic method that uses a short genetic marker in an insect DNA to identify a species, including an unknown species. The coming-to-light of this identification tool is timely when we are facing perhaps the greatest rate of species loss in recent millennia. This study contributes to increasing the number of published accounts of DNA barcoding and accurately distinguishing the pollinator fauna of cotton in Punjab, India. The mtCOI region of all the samples was amplified, cloned and the nucleotide sequences were determined and analyzed. This study reveals that specimens collected in cotton belong to order Hymenoptera and Diptera. Hymenopterans include Apis dorsata, Apis florea, Xylocopa fenestrata, Sceliphron madraspatanum and Polistes wattii. Dipterns include Eristalinus quinquelineatus and Musca convexifrons.

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Author Biography

Pardeep Kumar Chhuneja, Department of Entomology, Punjab Agricultural University, Ludhiana 141004, Punjab

Assistant Professor

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Published

2023-08-14

How to Cite

Bajaj, K., Chhuneja, P. K., Mohindru, B., & Singh, J. (2023). Molecular Characterization of Pollinators in Cotton Ecosystem. Indian Journal of Entomology, 1–6. https://doi.org/10.55446/IJE.2023.1073

Issue

Section

Research Articles

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