A novel strategy for efficient expression of an antibody fragment in E. coli : Ranibizumab as a case study

Author(s):  
Priyanka Priyanka ◽  
Anurag S Rathore
Antibiotics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 265
Author(s):  
Peter Kotsoana Montso ◽  
Caven Mguvane Mnisi ◽  
Collins Njie Ateba ◽  
Victor Mlambo

Preslaughter starvation and subacute ruminal acidosis in cattle are known to promote ruminal proliferation of atypical enteropathogenic Escherichia coli strains, thereby increasing the risk of meat and milk contamination. Using bacteriophages (henceforth called phages) to control these strains in the rumen is a potentially novel strategy. Therefore, this study evaluated the viability of phages and their efficacy in reducing E. coli O177 cells in a simulated ruminal fermentation system. Fourteen phage treatments were allocated to anaerobic serum bottles containing a grass hay substrate, buffered (pH 6.6–6.8) bovine rumen fluid, and E. coli O177 cells. The serum bottles were then incubated at 39 °C for 48 h. Phage titres quadratically increased with incubation time. Phage-induced reduction of E. coli O177 cell counts reached maximum values of 61.02–62.74% and 62.35–66.92% for single phages and phage cocktails, respectively. The highest E. coli O177 cell count reduction occurred in samples treated with vB_EcoM_366B (62.31%), vB_EcoM_3A1 (62.74%), vB_EcoMC3 (66.67%), vB_EcoMC4 (66.92%), and vB_EcoMC6 (66.42%) phages. In conclusion, lytic phages effectively reduced E. coli O177 cells under artificial rumen fermentation conditions, thus could be used as a biocontrol strategy in live cattle to reduce meat and milk contamination in abattoirs and milking parlours, respectively.


2000 ◽  
Vol 12 (2) ◽  
pp. 118-125 ◽  
Author(s):  
Randall S. Singer ◽  
Wesley O. Johnson ◽  
Joan S. Jeffrey ◽  
Richard P. Chin ◽  
Tim E. Carpenter ◽  
...  

A general problem for microbiologists is determining the number of phenotypically similar colonies growing on an agar plate that must be analyzed in order to be confident of identifying all of the different strains present in the sample. If a specified number of colonies is picked from a plate on which the number of unique strains of bacteria is unknown, assigning a probability of correctly identifying all of the strains present on the plate is not a simple task. With Escherichia coli of avian cellulitis origin as a case study, a statistical model was designed that would delineate sample sizes for efficient and consistent identification of all the strains of phenotypically similar bacteria in a clinical sample. This model enables the microbiologist to calculate the probability that all of the strains contained within the sample are correctly identified and to generate probability-based sample sizes for colony identification. The probability of cellulitis lesions containing a single strain of E. coli was 95.4%. If one E. coli strain is observed out of three colonies randomly selected from a future agar plate, the probability is 98.8% that only one strain is on the plate. These results are specific for this cellulitis E. coli scenario. For systems in which the number of bacterial strains per sample is variable, this model provides a quantitative means by which sample sizes can be determined.


Proceedings ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 693 ◽  
Author(s):  
Maria Adamantia Efstratiou ◽  
Marina Bountouni ◽  
Efthimios Kefalas

The aim of this study was to gather information on the spread of antibiotic resistance in Escherichia coli isolates from wells, boreholes and untreated drinking water in islands of Greece. We analyzed for antibiotic resistance 235 E. coli strains isolated from untreated drinking water of small rural communities, and ground water from 4 islands. Resistance was tested against Norfloxacin, Ciprofloxacin, Levofloxacin, Amoxicillin and Cefaclor. More than half (54.9%) were resistant to at least one of the antibiotics tested. Of these 26.3% showed multiple resistance (to two or more antibiotics). Strains from drinking water sources were overall more sensitive. Frequent resistance was observed for Amoxicillin (38.3%) and Levofloxacin (28.5%), low for Norfloxacin (5.5%).


2020 ◽  
Author(s):  
Vipul Singhal ◽  
Zoltan A. Tuza ◽  
Zachary Z. Sun ◽  
Richard M. Murray

AbstractWe introduce a MATLAB based simulation toolbox, called txtlsim, for an E. coli based Transcription-Translation (TX-TL) system. This toolbox accounts for several cell-free related phenomena, such as resource loading, consumption, and degradation, and in doing so, models the dynamics of TX-TL reactions for the entire duration of batch-mode experiments. We use a Bayesian parameter inference approach to characterize the reaction rate parameters associated with the core transcription, translation and mRNA degradation mechanics of the toolbox, allowing it to reproduce constitutive mRNA and protien expression trajectories. We demonstrate the use of this characterized toolbox in a circuit behavior prediction case study for an incoherent feed-forward loop.


2017 ◽  
Vol 5 (4RASM) ◽  
pp. 71-77
Author(s):  
Babitha Rani ◽  
Dimple Bahri ◽  
Prabin Neupane ◽  
Kunal Kothari ◽  
Vishal Gadgihalli ◽  
...  

A study was carried out to find out the water quality ofByramangala lake of Ramanagara district. The water quality of Byramangala lake water and ground water from bore wells situated in the area within 600 meters surrounding the lake was analyzed. The quality analysis of various parameters such as BODs, COD, DO, E-Coli, and pH, Total Dissolved Solids, Total Suspended Solids and Total Hardness were tested. In addition, the presence of metals such as Cadmium (Cd), Chromium (Cr), Lead (Pb), and Iron (Fe) in the lake water and ground water samples were tested. Results for the various tests conducted showed similar trends for both lake water and ground water. It was observed that certain parameters such as BOD5, and COD were beyond permissible limits as per the BIS standards for drinking water. A few remedial measures have been proposed that may help in mitigating the pollution in the selected project area Byramangala Lake.


2010 ◽  
Vol 73 (2) ◽  
pp. 161-166 ◽  
Author(s):  
Filippo Prischi ◽  
Chiara Pastore ◽  
Marta Carroni ◽  
Clara Iannuzzi ◽  
Salvatore Adinolfi ◽  
...  
Keyword(s):  

2015 ◽  
Vol 6 (1) ◽  
pp. 15-20 ◽  
Author(s):  
M Mohiuddin ◽  
MB Latif

This study was conducted to determine the contamination of E. coli and Salmonella for different types of foods in Chittagong city area. In case of laboratory examination, almost half (49.58%) of the samples were contaminated where 28.75% positive for E. coli. and 20.83% for Salmonella. The positive cases for type A sample was 20 out of 96 constituting 20.83% whereas the positive cases for type B sample was 49 out of 144 constituting 34.03% for E. coli. The positive cases of type A sample was 15 out of 96 making up 15.63% and for type B sample was 35 out of 144 making up 24.31% for Salmonella.A chi-square (?2) test was used to examine the equality of observed proportions for E. coli and Salmonella of each item of both types of food where significant difference among the observed proportion for E. coli (p-value<0.01) and Salmonella (p-value=0.032) for different items of A type and for E. coli (p-value<0.01) for different items of B type were observed and an odds ratio (OR) was measured for association between exposure and outcome where the probability of contaminated by E. coli of type B food is higher than contaminated of type A food (OR= 1.96 and CI:1.07-3.58). The probability of contaminated by Salmonella of type B food was higher than type A food (OR= 1.73 and CI: 0.89-3.39).The comparatively high bacteria in type B samples indicated contamination from water, practice of inadequate hygienic measures, mishandling, improper storage, inadequate cooking and above all unhygienic condition of the retail shops.DOI: http://dx.doi.org/10.3329/jesnr.v6i1.22034 J. Environ. Sci. & Natural Resources, 6(1): 15-20 2013


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