Genomic Characterisation of Antibiotic-Resistant Escherichia coli from an Intensive Poultry Production System in the uMgungundlovu District, KwaZulu-Natal, South Africa: A Snapshot

<b>Background</b>: Intensive poultry production systems can act as reservoirs for antibiotic-resistant and multidrug-resistant (MDR) <i>Escherichia coli</i>, posing a public health risk through food and environmental transmission. <b>Methods:</b> This study investigated the genomic characteristics of antibiotic-resistant <i>E. coli</i> isolated from an intensive poultry production system in the uMgungundlovu District, KwaZulu-Natal, South Africa. Chicken litter, wastewater, and floor swab samples were collected over three consecutive production cycles. Putative <i>E. coli</i> isolates were detected using the Colilert-18 system, cultured on eosin methylene blue agar, and genomically confirmed by quantitative PCR (q-PCR) targeting the <i>uidA</i> gene. Whole genome sequencing was performed using the Illumina MiSeq platform, followed by bioinformatic analyses to assess resistance genes, mobile genetic elements, and phylogenetic relationships. <b>Results</b>: Of 150 presumptive <i>E. coli</i>, 70 were genomically confirmed as <i>E. coli</i> and resistant to at least one antibiotic, with 74% exhibiting multidrug resistance. Resistance was highest to tetracycline (100%), ampicillin (94%), and trimethoprim-sulfamethoxazole (76%), while ciprofloxacin resistance was rare (3%). Genomic analysis identified multiple antibiotic resistance genes conferring resistance to fluoroquinolones, β-lactams, aminoglycosides, amphenicols, fosfomycin, and sulfonamides, as well as the disinfectant resistance gene <i>qacI</i>. These genes were frequently associated with mobile genetic elements, including plasmids, integrons, transposons, and insertion sequences. Predominant sequence types included ST155, ST48, ST1286, and ST602, with phylogenetic relatedness to poultry-associated isolates from Cameroon, Ghana, Nigeria, and Tanzania, as well as environmental <i>E. coli</i> strains previously identified in South Africa and Ghana. <b>Conclusions</b>: The detection of diverse, mobile MDR <i>E. coli</i> lineages in poultry environments clearly signals a substantial risk for resistance gene dissemination into the food chain and surrounding ecosystems. Immediate attention and intervention are warranted to mitigate public health threats.

Authors

Institutions

Publication Details

Journal
Antibiotics
Published
2026-02-05
DOI
https://doi.org/10.3390/antibiotics15020174
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Genomic Characterisation of Antibiotic-Resistant Escherichia coli from an Intensive Poultry Production System in the uMgungundlovu District, KwaZulu-Natal, South Africa: A Snapshot

Nelisiwe S. Gumede, C.H. Hunter, Melissa Ramtahal, Joshua Mbanga et al.
Antibiotics
Antibiotic Resistance in Bacteria
article

Genomic Characterisation of Antibiotic-Resistant Escherichia coli from an Intensive Poultry Production System in the uMgungundlovu District, KwaZulu-Natal, South Africa: A Snapshot

Nelisiwe S. Gumede, C.H. Hunter, Melissa Ramtahal, Joshua Mbanga, Linda A. Bester, Sabiha Y. Essack
article en

Abstract

<b>Background</b>: Intensive poultry production systems can act as reservoirs for antibiotic-resistant and multidrug-resistant (MDR) <i>Escherichia coli</i>, posing a public health risk through food and environmental transmission. <b>Methods:</b> This study investigated the genomic characteristics of antibiotic-resistant <i>E. coli</i> isolated from an intensive poultry production system in the uMgungundlovu District, KwaZulu-Natal, South Africa. Chicken litter, wastewater, and floor swab samples were collected over three consecutive production cycles. Putative <i>E. coli</i> isolates were detected using the Colilert-18 system, cultured on eosin methylene blue agar, and genomically confirmed by quantitative PCR (q-PCR) targeting the <i>uidA</i> gene. Whole genome sequencing was performed using the Illumina MiSeq platform, followed by bioinformatic analyses to assess resistance genes, mobile genetic elements, and phylogenetic relationships. <b>Results</b>: Of 150 presumptive <i>E. coli</i>, 70 were genomically confirmed as <i>E. coli</i> and resistant to at least one antibiotic, with 74% exhibiting multidrug resistance. Resistance was highest to tetracycline (100%), ampicillin (94%), and trimethoprim-sulfamethoxazole (76%), while ciprofloxacin resistance was rare (3%). Genomic analysis identified multiple antibiotic resistance genes conferring resistance to fluoroquinolones, β-lactams, aminoglycosides, amphenicols, fosfomycin, and sulfonamides, as well as the disinfectant resistance gene <i>qacI</i>. These genes were frequently associated with mobile genetic elements, including plasmids, integrons, transposons, and insertion sequences. Predominant sequence types included ST155, ST48, ST1286, and ST602, with phylogenetic relatedness to poultry-associated isolates from Cameroon, Ghana, Nigeria, and Tanzania, as well as environmental <i>E. coli</i> strains previously identified in South Africa and Ghana. <b>Conclusions</b>: The detection of diverse, mobile MDR <i>E. coli</i> lineages in poultry environments clearly signals a substantial risk for resistance gene dissemination into the food chain and surrounding ecosystems. Immediate attention and intervention are warranted to mitigate public health threats.

AntibioticsVol. 15(2)
University of Jordan (JO), National University of Science and Technology (ZW), University of KwaZulu-Natal (ZA)
National Research Foundation, South African Medical Research Council, Medical Research Council
Clean water and sanitation
Openalex Percentile: Top 62%
Antibiotic Resistance in Bacteria
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.