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Co-Prevalence of Virulence and Pathogenic Potential in Multiple Antibiotic Resistant Aeromonas spp. from Diseased Fishes with In Silico Insight on the Virulent Protein Network

Aeromonas species exhibit widespread presence in food, poultry, and aquaculture. They are major multi-drug-resistant fish pathogens. This study aims to identify Aeromonas species harbouring virulence genes aerolysin, flagellin, and lipase from diseased fishes of Assam wetlands with association with...

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Autores principales: Chakraborty, Nabanita, Das, Basanta Kumar, Bera, Asit Kumar, Borah, Simanku, Mohanty, Debasmita, Yadav, Anil Kumar, Kumar, Jeetendra, Koushlesh, Satish Kumar, Chanu, Thangjam Nirupada, Panda, Soumya Prasad, Vallangi, Ravali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781969/
https://www.ncbi.nlm.nih.gov/pubmed/36556344
http://dx.doi.org/10.3390/life12121979
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author Chakraborty, Nabanita
Das, Basanta Kumar
Bera, Asit Kumar
Borah, Simanku
Mohanty, Debasmita
Yadav, Anil Kumar
Kumar, Jeetendra
Koushlesh, Satish Kumar
Chanu, Thangjam Nirupada
Panda, Soumya Prasad
Vallangi, Ravali
author_facet Chakraborty, Nabanita
Das, Basanta Kumar
Bera, Asit Kumar
Borah, Simanku
Mohanty, Debasmita
Yadav, Anil Kumar
Kumar, Jeetendra
Koushlesh, Satish Kumar
Chanu, Thangjam Nirupada
Panda, Soumya Prasad
Vallangi, Ravali
author_sort Chakraborty, Nabanita
collection PubMed
description Aeromonas species exhibit widespread presence in food, poultry, and aquaculture. They are major multi-drug-resistant fish pathogens. This study aims to identify Aeromonas species harbouring virulence genes aerolysin, flagellin, and lipase from diseased fishes of Assam wetlands with association with antibiotic resistance and in vivo pathogenicity. One hundred and thirty-four Aeromonas strains were isolated and thirty representative species identified using genus-specific 16S rRNA gene amplification. A. veronii was most prevalent (53.7%) followed by A. hydrophila (40.2%), A. caviae (4.47%), and A. dhakensis (1.49%). Ninety percent (90%) of strains harboured at least one of the studied virulence genes: aerA (73.3%), lip (46.6%), and flaA (26.6%). The highest multiple antibiotic resistance (MAR) index 0.8 corresponded to A. hydrophila DBTNE1 (MZ723069), containing all the studied genes. The lowest LD50 values (1.6 × 106 CFU/fish) corresponded to isolates having both aerA and lip. β-lactams showed utmost resistance and lowest for aminoglycosides. There was a significant (p < 0.05) Pearson chi-square test of association between the occurrence of virulence and antibiotic resistance. The in silico protein–protein interaction revealed important drug targets, such as σ28 transcription factor, aminoacyl-tRNA synthetase, and diacylglycerol kinase, with significant (p < 0.05) enrichment. This study suggests that fish-isolate Aeromonas strains represent potential threat to aquaculture with subsequent risk of transferring antibiotic resistance to human pathogens.
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spelling pubmed-97819692022-12-24 Co-Prevalence of Virulence and Pathogenic Potential in Multiple Antibiotic Resistant Aeromonas spp. from Diseased Fishes with In Silico Insight on the Virulent Protein Network Chakraborty, Nabanita Das, Basanta Kumar Bera, Asit Kumar Borah, Simanku Mohanty, Debasmita Yadav, Anil Kumar Kumar, Jeetendra Koushlesh, Satish Kumar Chanu, Thangjam Nirupada Panda, Soumya Prasad Vallangi, Ravali Life (Basel) Article Aeromonas species exhibit widespread presence in food, poultry, and aquaculture. They are major multi-drug-resistant fish pathogens. This study aims to identify Aeromonas species harbouring virulence genes aerolysin, flagellin, and lipase from diseased fishes of Assam wetlands with association with antibiotic resistance and in vivo pathogenicity. One hundred and thirty-four Aeromonas strains were isolated and thirty representative species identified using genus-specific 16S rRNA gene amplification. A. veronii was most prevalent (53.7%) followed by A. hydrophila (40.2%), A. caviae (4.47%), and A. dhakensis (1.49%). Ninety percent (90%) of strains harboured at least one of the studied virulence genes: aerA (73.3%), lip (46.6%), and flaA (26.6%). The highest multiple antibiotic resistance (MAR) index 0.8 corresponded to A. hydrophila DBTNE1 (MZ723069), containing all the studied genes. The lowest LD50 values (1.6 × 106 CFU/fish) corresponded to isolates having both aerA and lip. β-lactams showed utmost resistance and lowest for aminoglycosides. There was a significant (p < 0.05) Pearson chi-square test of association between the occurrence of virulence and antibiotic resistance. The in silico protein–protein interaction revealed important drug targets, such as σ28 transcription factor, aminoacyl-tRNA synthetase, and diacylglycerol kinase, with significant (p < 0.05) enrichment. This study suggests that fish-isolate Aeromonas strains represent potential threat to aquaculture with subsequent risk of transferring antibiotic resistance to human pathogens. MDPI 2022-11-25 /pmc/articles/PMC9781969/ /pubmed/36556344 http://dx.doi.org/10.3390/life12121979 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chakraborty, Nabanita
Das, Basanta Kumar
Bera, Asit Kumar
Borah, Simanku
Mohanty, Debasmita
Yadav, Anil Kumar
Kumar, Jeetendra
Koushlesh, Satish Kumar
Chanu, Thangjam Nirupada
Panda, Soumya Prasad
Vallangi, Ravali
Co-Prevalence of Virulence and Pathogenic Potential in Multiple Antibiotic Resistant Aeromonas spp. from Diseased Fishes with In Silico Insight on the Virulent Protein Network
title Co-Prevalence of Virulence and Pathogenic Potential in Multiple Antibiotic Resistant Aeromonas spp. from Diseased Fishes with In Silico Insight on the Virulent Protein Network
title_full Co-Prevalence of Virulence and Pathogenic Potential in Multiple Antibiotic Resistant Aeromonas spp. from Diseased Fishes with In Silico Insight on the Virulent Protein Network
title_fullStr Co-Prevalence of Virulence and Pathogenic Potential in Multiple Antibiotic Resistant Aeromonas spp. from Diseased Fishes with In Silico Insight on the Virulent Protein Network
title_full_unstemmed Co-Prevalence of Virulence and Pathogenic Potential in Multiple Antibiotic Resistant Aeromonas spp. from Diseased Fishes with In Silico Insight on the Virulent Protein Network
title_short Co-Prevalence of Virulence and Pathogenic Potential in Multiple Antibiotic Resistant Aeromonas spp. from Diseased Fishes with In Silico Insight on the Virulent Protein Network
title_sort co-prevalence of virulence and pathogenic potential in multiple antibiotic resistant aeromonas spp. from diseased fishes with in silico insight on the virulent protein network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781969/
https://www.ncbi.nlm.nih.gov/pubmed/36556344
http://dx.doi.org/10.3390/life12121979
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