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Insights on genomic diversity of Vibrio spp. through Pan-genome analysis
Authors:Nathamuni  Suganya  Jangam  Ashok Kumar  Katneni  Vinaya Kumar  Selvaraj  Ashok  Krishnan  Karthic  Kumar  Sujeet  Avunje  Satheesha  Balasubramaniam  Sivamani  Grover  Monendra  Alavandi  Shankar V  Koyadan  Vijayan K
Institution:1.Nutrition Genetics and Biotechnology Division, ICAR-Central Institute of Brackishwater Aquaculture, Chennai, Tamil Nadu, India
;2.Aquatic Animal Health and Environment Division, ICAR-Central Institute of Brackishwater Aquaculture, Chennai, Tamil Nadu, India
;3.Division of Computer Applications, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
;
Abstract:Purpose

The aquaculture sector is a major contributor to the economic and nutritional security for a number of countries. India’s total seafood exports for the year 2017–2018 accounted for US$ Million 7082. One of the major setbacks in this sector is the frequent outbreaks of diseases often due to bacterial pathogens. Vibriosis is one of the major diseases caused by bacteria of Vibrio spp., causing significant economic loss to the aquaculture sector. The objective of this study was to understand the genetic composition of Vibrio spp.

Methods

Thirty-five complete genomes were downloaded from GenBank comprising seven vibrio species, namely, Vibrio alginolyticus, V. anguillarum, V. campbellii, V. harveyi, V. furnissii, V. parahaemolyticus, and V. vulnificus. Pan-genome analysis was carried out with coding sequences (CDS) generated from all the Vibrio genomes. In addition, genomes were mined for genes coding for toxin-antitoxin systems, antibiotic resistance, genomic islands, and virulence factors.

Results

Results revealed an open pan-genome comprising of 2004 core, 8249 accessory, and 6780 unique genes. Downstream analysis of genomes and the identified unique genes resulted in 312 antibiotic resistance genes, 430 genes coding for toxin and antitoxin systems along with 4802, and 4825 putative virulent genes from genomic island regions and unique gene sets, respectively.

Conclusion

Pan-genome and other downstream analytical procedures followed in this study have the potential to predict strain-specific genes and their association with habitat and pathogenicity.

Keywords:
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