Detection and Diversity of Tetracycline Resistant Bacteria in Fish Ponds of Rajshahi Region

The growth of aquaculture as a key food production industry, particularly in Bangladesh, has led to the increased use of various chemicals and drugs. This study focuses on the critical analysis of bacterial profiles in the waters of fish farming ponds in the Rajshahi district of Bangladesh, a necessary step for disease management and addressing the public health issues related to antibiotic-resistant bacteria. The research found a significant presence of bacteria in these waters, with viable bacterial counts fluctuating from 3.0×10² to 4.2×10³ CFU/ml at a Tetracycline concentration of 32 µg/ml, and 0.5×10² to 1.8×10³ CFU/ml at 64 µg/ml. Using 16S rRNA gene analysis, we discerned a dozen distinct bacterial species spanning six genera that demonstrate resistance to tetracycline. These include Enterobacter asburiae, Aeromonas sp., Acinetobacter sp., Bacillus sp., Bacillus cereus, Enterobacter cloacae, Acinetobacter gandensis, Escherichia coli, Shigella sp., Enterobacter hormaechei, Acinetobacter baumannii, and Bacillus altitudinis. The study underscores the critical need for preventive actions in fish farming to address these resistant bacteria and calls for comprehensive research to trace their origins and pathways of transmission. This research significantly contributes to the understanding of antibiotic resistance in aquatic ecosystems and its broader implications for public health. J. Bio-Sci. 32(2): 23-30, 2024

Authors

Institutions

Publication Details

Journal
Journal of Bio-Science
Published
2024-09-03
DOI
https://doi.org/10.3329/jbs.v32i2.75754
Primary Topic
Scientific and Engineering Research Topics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detection and Diversity of Tetracycline Resistant Bacteria in Fish Ponds of Rajshahi Region

M Habibur Rahman, S Muhammad Hafiz
Journal of Bio-Science
Scientific and Engineering Research Topics
article

Detection and Diversity of Tetracycline Resistant Bacteria in Fish Ponds of Rajshahi Region

M Habibur Rahman, S Muhammad Hafiz
article en

Abstract

The growth of aquaculture as a key food production industry, particularly in Bangladesh, has led to the increased use of various chemicals and drugs. This study focuses on the critical analysis of bacterial profiles in the waters of fish farming ponds in the Rajshahi district of Bangladesh, a necessary step for disease management and addressing the public health issues related to antibiotic-resistant bacteria. The research found a significant presence of bacteria in these waters, with viable bacterial counts fluctuating from 3.0×10² to 4.2×10³ CFU/ml at a Tetracycline concentration of 32 µg/ml, and 0.5×10² to 1.8×10³ CFU/ml at 64 µg/ml. Using 16S rRNA gene analysis, we discerned a dozen distinct bacterial species spanning six genera that demonstrate resistance to tetracycline. These include Enterobacter asburiae, Aeromonas sp., Acinetobacter sp., Bacillus sp., Bacillus cereus, Enterobacter cloacae, Acinetobacter gandensis, Escherichia coli, Shigella sp., Enterobacter hormaechei, Acinetobacter baumannii, and Bacillus altitudinis. The study underscores the critical need for preventive actions in fish farming to address these resistant bacteria and calls for comprehensive research to trace their origins and pathways of transmission. This research significantly contributes to the understanding of antibiotic resistance in aquatic ecosystems and its broader implications for public health. J. Bio-Sci. 32(2): 23-30, 2024

Journal of Bio-ScienceVol. 32(2)
University of Rajshahi (BD)
Rajshahi University
Responsible consumption and production
Openalex Percentile: Top 83%
Scientific and Engineering Research Topics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.