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Multiple antibiotic resistances among Shiga toxin producing Escherichia coli O157 in feces of dairy cattle farms in Eastern Cape of South Africa

Overview of attention for article published in BMC Microbiology, October 2015
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Title
Multiple antibiotic resistances among Shiga toxin producing Escherichia coli O157 in feces of dairy cattle farms in Eastern Cape of South Africa
Published in
BMC Microbiology, October 2015
DOI 10.1186/s12866-015-0553-y
Pubmed ID
Authors

Benson C. Iweriebor, Chinwe J. Iwu, Larry C. Obi, Uchechukwu U. Nwodo, Anthony I. Okoh

Abstract

Shiga toxin-producing Escherichia coli (STEC) O157:H7 is a well-recognized cause of bloody diarrhea and hemolytic-uremic syndrome (HUS). The ability of STEC strains to cause human disease is due to the production of Shiga toxins. The objectives of this study were to determinate the prevalence, serotypes, antibiotic susceptibility patterns and the genetic capability for Shiga toxin production in Escherichia coli (STEC) strains isolated from dairy cattle farms in two rural communities in the Eastern Cape Province of South Africa. Fecal samples were collected between March and May 2014, from individual cattle (n = 400) in two commercial dairy farms having 800 and 120 cattle each. Three hundred presumptive isolates obtained were subjected to polymerase chain reactions (PCR) for identification of O157 serogroup and Shiga toxin producing genes (stx1, stx2) on genomic DNA extracted by boiling method. Susceptibility of the isolates to 17 antibiotics was carried out in vitro by the standardized agar disc-diffusion method. Based on direct PCR detection, 95 (31.7 %) isolates were identified as O157 serogroup. The genetic repertoire for Shiga toxin production was present in 84 (88.42 %) isolates distributed as stx1 (37), stx2 (38) and stx1/2 (9) respectively while 11 of the isolates did not harbor Shiga toxin producing genes. Multiple antibiotic resistances were observed among the isolates and genetic profiling of resistance genes identified bla ampC 90 %, bla CMY 70 %, bla CTX-M 65 %, bla TEM 27 % and tetA 70 % and strA 80 % genes among the antimicrobial resistance determinants examined. We conclude that dairy cattle farms in the Eastern Cape Province are potential reservoirs of antibiotic resistance determinants in the province.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 <1%
Unknown 150 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 15%
Student > Master 22 15%
Researcher 17 11%
Student > Postgraduate 8 5%
Student > Doctoral Student 7 5%
Other 32 21%
Unknown 43 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 18%
Veterinary Science and Veterinary Medicine 20 13%
Immunology and Microbiology 16 11%
Biochemistry, Genetics and Molecular Biology 12 8%
Medicine and Dentistry 8 5%
Other 23 15%
Unknown 45 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 October 2015.
All research outputs
#14,827,133
of 22,830,751 outputs
Outputs from BMC Microbiology
#1,601
of 3,191 outputs
Outputs of similar age
#154,748
of 280,050 outputs
Outputs of similar age from BMC Microbiology
#29
of 74 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,191 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,050 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.