In silico analysis of extended-spectrum β-lactamases in bacteria
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389030%3A_____%2F21%3A00549156" target="_blank" >RIV/61389030:_____/21:00549156 - isvavai.cz</a>
Result on the web
<a href="http://doi.org/10.3390/antibiotics10070812" target="_blank" >http://doi.org/10.3390/antibiotics10070812</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/antibiotics10070812" target="_blank" >10.3390/antibiotics10070812</a>
Alternative languages
Result language
angličtina
Original language name
In silico analysis of extended-spectrum β-lactamases in bacteria
Original language description
The growing bacterial resistance to available β-lactam antibiotics is a very serious public health problem, especially due to the production of a wide range of β-lactamases. At present, clinically important bacteria are increasingly acquiring new elements of resistance to carbapenems and polymyxins, including extended-spectrum β-lactamases (ESBLs), carbapenemases and phos-phoethanolamine transferases of the MCR type. These bacterial enzymes limit therapeutic options in human and veterinary medicine. It must be emphasized that there is a real risk of losing the ability to treat serious and life-threatening infections. The present study aimed to design specific oligonucleotides for rapid PCR detection of ESBL-encoding genes and in silico analysis of selected ESBL enzymes. A total of 58 primers were designed to detect 49 types of different ESBL genes. After comparing the amino acid sequences of ESBLs (CTX-M, SHV and TEM), phylogenetic trees were created based on the presence of conserved amino acids and homologous motifs. This study indicates that the proposed primers should be able to specifically detect more than 99.8% of all described ESBL enzymes. The results suggest that the in silico tested primers could be used for PCR to detect the presence of ESBL genes in various bacteria, as well as to monitor their spread.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10608 - Biochemistry and molecular biology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Antibiotics (Basel)
ISSN
2079-6382
e-ISSN
2079-6382
Volume of the periodical
10
Issue of the periodical within the volume
7
Country of publishing house
CH - SWITZERLAND
Number of pages
21
Pages from-to
812
UT code for WoS article
000678883200001
EID of the result in the Scopus database
2-s2.0-85110723258