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Molecular approach for identification of Catla catla using mitochondrial CO1 from Pakistan.

ABSTRACT: DNA barcoding is a rapid, precise, and effective way of species identification. A short and standard target gene marker is used to create sequence profile of identified species. Specific tag or marker is used, which is derived from mitochondrial COI for identification. Effectiveness of this method axes the degree of divergence among species. Identification is necessary for their representation. In the present work, Catla catla was used to study by using Cytochrome C Oxidase 1.The genetic distances were computed, and Neighbor Joining tree was constructed based on the Kimura 2 Parameter method. GenBank and BOLD revealed definitive identity matches. Conspecific and congeneric K2P nucleotide divergence was estimated. Evolutionary tree was analyzed clearly by relating their species to phylogenetic tree, as same as species were bunched under same tree node, while species were differently clustered under distinct nodes. These findings conclude that the gene sequence may serve as a milestone for identification and phylogenetic history of related species at molecular level.

SUBMITTER: Naeem Z

PROVIDER: S-EPMC7782247 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Molecular approach for identification of Catla catla using mitochondrial CO1 from Pakistan.

Naeem Zara Z Masud Samrah S Hassan Shoaib S Naeem Muhammad M

Mitochondrial DNA. Part B, Resources 20200725 3

DNA barcoding is a rapid, precise, and effective way of species identification. A short and standard target gene marker is used to create sequence profile of identified species. Specific tag or marker is used, which is derived from mitochondrial COI for identification. Effectiveness of this method axes the degree of divergence among species. Identification is necessary for their representation. In the present work, Catla catla was used to study by using Cytochrome C Oxidase 1.The genetic ...[more]

PMID: 33458033

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Project description:The order Hymenoptera holds great significance for humans, particularly in tropical and subtropical regions, due to its role as a pollinator of wild and cultivated flowering plants, parasites of destructive insects and honey producers. Despite this importance, limited attention has been given to the genetic diversity and molecular identification of Hymenopteran insects in most protected areas. This study provides insights into the first DNA barcode of Hymenopteran insects collected from Hazarganji Chiltan National Park (HCNP) and contributes to the global reference library of DNA barcodes. A total of 784 insect specimens were collected using Malaise traps, out of which 538 (68.62%) specimens were morphologically identified as Hymenopteran insects. The highest abundance of species of Hymenoptera (133/538, 24.72%) was observed during August and least in November (16/538, 2.97%). Genomic DNA extraction was performed individually from 90/538 (16.73%) morphologically identified specimens using the standard phenol-chloroform method, which were subjected separately to the PCR for their molecular confirmation via the amplification of cytochrome c oxidase subunit 1 (cox1) gene. The BLAST analyses of obtained sequences showed 91.64% to 100% identities with related sequences and clustered phylogenetically with their corresponding sequences that were reported from Australia, Bulgaria, Canada, Finland, Germany, India, Israel, and Pakistan. Additionally, total of 13 barcode index numbers (BINs) were assigned by Barcode of Life Data Systems (BOLD), out of which 12 were un-unique and one was unique (BOLD: AEU1239) which was assigned for Anthidium punctatum. This indicates the potential geographical variation of Hymenopteran population in HCNP. Further comprehensive studies are needed to molecularly confirm the existing insect species in HCNP and evaluate their impacts on the environment, both as beneficial (for example, pollination, honey producers and natural enemies) and detrimental (for example, venomous stings, crop damage, and pathogens transmission).

Dataset Information

Molecular approach for identification of Catla catla using mitochondrial CO1 from Pakistan.

Publications

Molecular approach for identification of <i>Catla catla</i> using mitochondrial <i>CO1</i> from Pakistan.

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