scholarly journals Enhanced poly-γ-l-diaminobutanoic acid production in Bacillus pumilus by combining genome shuffling with multiple antibiotic-resistance

2020 ◽  
Vol 47 (12) ◽  
pp. 1141-1154
Author(s):  
Shu Li ◽  
Liang Wang ◽  
Nan Wang
Author(s):  
Ganiyat Shitta ◽  
Olufunmilola Makanjuola ◽  
Olusolabomi Adefioye ◽  
Olugbenga Adekunle Olowe

Background: Extended Spectrum Beta Lactamase (ESBL) production in gram negative bacteria confers multiple antibiotic resistance, adversely affecting antimicrobial therapy in infected individuals. ESBLs result from mutations in β-lactamases encoded mainly by the bla TEM,bla SHVand bla CTX-Mgenes. The prevalence of ESBL producing bacteria has been on the increase globally especially its upsurge among isolates from community-acquired infections. Aim: To determine ESBL prevalence and identify ESBL genes among clinical isolates in Osun State, Nigeria. Material and Methods: A cross-sectional study was carried out from August 2016 –July 2017 in Osun State, Nigeria. Three hundred and sixty Gram negative bacteria recovered from clinical samples obtained from both community and healthcare associated infections were tested. They included147 Escherichia coli(40.8%), 116 Klebsiella spp(32.2%), 44 Pseudomo-nas aeruginosa(12.2%) and23 Proteus vulgaris (6.4%) isolates. Others were Acinetobacter baumannii, Serratia rubidae, Citrobacter spp, Enterobacter spp and Salmonella typhi. Disk diffusion antibiotic susceptibility testing was carried out, isolates were screened for ESBL production and confirmed using standard laboratory procedures. ESBLs resistance genes were identified by Polymerase Chain Reaction (PCR). Results: All isolates demonstrated multiple antibiotic resistance. Resistance to ampicillin, amoxicillin with clavulanate and erythromycin was 100%, whereas resistance to Imipenem was very low (5.0%). : Overall prevalence of ESBL producers was 41.4% with Klebsiellaspp as the highest ESBL producing Enterobacteriacaea. ESBL producers were more prevalent among the hospital pathogens than community pathogens, 58% vs 29.5% (p=0.003). ESBL genes were detected in all ESBL producers with the blaCTX-Mgene predominating (47.0%) followed by blaTEM(30.9%) and blaSHVgene was the least, 22.1%. The blaCTX-Mgene was also the most prevalent in the healthcare pathogens (62%) but it accounted for only 25% in those of community origin. Conclusion: A high prevalence of ESBL producing gram negative organisms occurs both in healthcare and in the community in our environment with the CTX-M variant predominating. Efforts to control spread of these pathogens should be addressed.


2014 ◽  
Vol 8 (17) ◽  
pp. 1825-1831 ◽  
Author(s):  
M. R. Carvalho Edirsana ◽  
A. Costa Renata ◽  
J. G. Arajo Alberto ◽  
C. T. Carvalho Ftima ◽  
P. Pereira Silvano ◽  
...  

Author(s):  
Bhuvaneshwari Gunasekar

Objective: The multiple antibiotic resistance (MAR) indexing and finding Multidrug resistant (MDR) bacteria will help to indicate the origin from high risk of contamination where the antibiotics are often used. Hence this study was carried out to give the MAR index of non-fermenting Gram negative bacilli in a tertiary care hospital which would help our infection control team also.Methods: Drug resistance was tested by Kirby bauer’s disc diffusion method. MAR index was calculated using the formula, a/b (were a= number of antibiotics to which the organism was resistant and b= total number of antibiotics to which the organism was tested).Results: Out of 240 Gram negative non-fermenters isolated, 117 (49%) strains were greater than 0.2 of MAR index, 95(81%) was from in-patient department. 73(62%) were hospitalized for more than 3 days, 44 (38%) was from surgery department. 49(42%) was wound specimen. Out of 117 multiple antibiotic resistant isolates 99 (85%) were MDR isolates.Conclusion: 51% prevalence of isolates >0.2 MAR index shows that the source of contamination can still be brought up down by proper surveillance and management with proper usage of  surface and skin disinfectants especially in surgery ward where the MAR index has indicated more usage of antibiotics


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