DNA Barcoding for the Assessment of the Taxonomy of Fish from Chilika Lagoon, India

DNA barcoding is a technique in which identification of species using DNA barcodes. We generated a verified reference library of cytochrome c oxidase subunit I (COI) sequences for 226 barcodes belonging to 83 fish species from 67 genera, 39 families and 21 orders of fishes with the average divergence within a species is 010%, 13.57% within a genus, and 17.33% within a family with 97-100% identity with comparison to the Genbank database and BOLD of the Chilika lagoon, India. Data analysis done by barcode gap analysis, barcode index number and automatic barcode gap discovery to discriminate the species up to 97.53%, 93.90% and 95.06% respectively. The Barcode Index Number (BIN) discordance analysis reflected 226 specimens belongs to 83 BINs, of which 73.49%were taxonomically concordant and 26.50% were singletons and absence of discordant BIN in our dataset. Finally, the identification success rate of DNA barcoding was evaluated based on the sequencing success rate and species discrimination rate.

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Journal
Genetics of Aquatic Organisms
Published
2024-12-27
DOI
https://doi.org/10.4194/ga812
Citations
2
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
0.47

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article

DNA Barcoding for the Assessment of the Taxonomy of Fish from Chilika Lagoon, India

Rahul Suryawanshi, Amol Kalyankar, Gulab Khedkar, Dnyanraj Khangale et al.
2 citations
Genetics of Aquatic Organisms
Identification and Quantification in Food
0.47
article

DNA Barcoding for the Assessment of the Taxonomy of Fish from Chilika Lagoon, India

Rahul Suryawanshi, Amol Kalyankar, Gulab Khedkar, Dnyanraj Khangale, Kajal Shitale
article en
2 citations

Abstract

DNA barcoding is a technique in which identification of species using DNA barcodes. We generated a verified reference library of cytochrome c oxidase subunit I (COI) sequences for 226 barcodes belonging to 83 fish species from 67 genera, 39 families and 21 orders of fishes with the average divergence within a species is 010%, 13.57% within a genus, and 17.33% within a family with 97-100% identity with comparison to the Genbank database and BOLD of the Chilika lagoon, India. Data analysis done by barcode gap analysis, barcode index number and automatic barcode gap discovery to discriminate the species up to 97.53%, 93.90% and 95.06% respectively. The Barcode Index Number (BIN) discordance analysis reflected 226 specimens belongs to 83 BINs, of which 73.49%were taxonomically concordant and 26.50% were singletons and absence of discordant BIN in our dataset. Finally, the identification success rate of DNA barcoding was evaluated based on the sequencing success rate and species discrimination rate.

Genetics of Aquatic OrganismsVol. 8(3)
Dr. Babasaheb Ambedkar Marathwada University (IN), D.Y. Patil University (IN)
Council of Scientific and Industrial Research, India
Openalex Percentile: Top 33%
Identification and Quantification in Food
0.47
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