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\title{DNA BARCODING FOR THE ASSESSMENT OF THE TAXONOMY OF THE FISH FROM
CHILIKA LAGOON OF INDIA, ONE OF THE WORLD'S BIODIVERSITY HOTSPOTS.}



\author[1]{Rahul Suryawanshi}%
\author[1]{Rohidas Jogdand}%
\author[1]{Dinesh Nalage}%
\affil[1]{Dr Babasaheb Ambedkar Marathwada University}%


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  \date{May 24, 2024}


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\begin{abstract}
DNA barcoding is a technique in which species identification is
performed by generating DNA barcodes from a small fragment of the
mitochondrial genome. Here, molecular methods were used for assessment
of 226 barcodes belonging to 83 fish species from 83 genera, 39 families
and 21 orders of fishes with the average divergence within a species is
0.10\%, 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, using, Barcode gap analysis, barcode index
number and automatic barcode gap discovery, these methods had their
potential to discriminate 97.53\%, 93.90\% and 95.06\%, of species
respectively. This is the first effort to generate the DNA barcode
reference library of freshwater fishes from Chilika lagoon of India, one
of the world's biodiversity hotspots. These findings will contribute to
the barcode database of global marine fish species identification,
provide baseline data for fishes in Chilika Lagoon waters based on the
CO1 region, and serve educational purposes in universities, research
institutes, fishery managers, and fish stock assessment. The Barcode
Index Number (BIN) discordance report showed that 226 specimens
represented 83 BINs, of which 73.49\%were taxonomically concordant and
26.50\% were singletons and no discordant BIN found in our dataset.%
\end{abstract}%



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