Biochemical identification techniques and antibiotic susceptibility profile of lipolytic ambiental bacteria from effluents

Detalhes bibliográficos
Autor(a) principal: Rave,A. F. G.
Data de Publicação: 2019
Outros Autores: Kuss,A. V., Peil,G. H. S., Ladeira,S. R., Villarreal,J. P. V., Nascente,P. S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842019000400555
Resumo: Abstract Different methodologies have been developed throughout the years to identify environmental microorganisms to improve bioremediation techniques, determine susceptibility profiles of bacteria in contaminated environments, and reduce the impact of microorganisms in ecosystems. Two methods of bacterial biochemical identification are compared and the susceptibility profile of bacteria, isolated from residential and industrial wastewater, is determined. Twenty-four bacteria were retrieved from the bacteria bank of the Environmental Microbiology Laboratory at the Institute of Biology (IB) of the Universidade Federal de Pelotas, Pelotas, Brazil. Bacteria were identified by conventional biochemical tests and by the VITEK ®2 automated system. Further, the susceptibility profile to antibiotics was also determined by the automated system. Six species of bacteria (Raoutella planticola, K. pneumoniae ssp. pneumoniae , Serratia marcescens, Raoutella sp., E. cloacae and Klebsiella oxytoca) were identified by conventional biochemical tests, while three species of bacteria (K. pneumoniae ssp. pneumoniae, S. marcescens and K. oxytoca ) were identified by VITEK®2 automated system. VITEK ®2 indicated agreement in 19 (79.17%) isolates and difference in five (20.83%) isolates when compared to results from conventional biochemical tests. Further, antibiotic susceptibility profile results showed that all isolates (100%) were resistant to at least one out of the 18 antibiotics tested by VITEK®2. Thus, no multi-resistant bacteria that may be used in effluent treatment systems or in bioremediation processes have been reported. Results indicate VITEK ® 2 automated system as a potential methodology in the determination of susceptibility profile and identification of environmental bacteria.
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spelling Biochemical identification techniques and antibiotic susceptibility profile of lipolytic ambiental bacteria from effluentsenvironmental bactériaVITEK®2S. marcescensmicroorganismsbiochemistrymulti-resistant bacteriaAbstract Different methodologies have been developed throughout the years to identify environmental microorganisms to improve bioremediation techniques, determine susceptibility profiles of bacteria in contaminated environments, and reduce the impact of microorganisms in ecosystems. Two methods of bacterial biochemical identification are compared and the susceptibility profile of bacteria, isolated from residential and industrial wastewater, is determined. Twenty-four bacteria were retrieved from the bacteria bank of the Environmental Microbiology Laboratory at the Institute of Biology (IB) of the Universidade Federal de Pelotas, Pelotas, Brazil. Bacteria were identified by conventional biochemical tests and by the VITEK ®2 automated system. Further, the susceptibility profile to antibiotics was also determined by the automated system. Six species of bacteria (Raoutella planticola, K. pneumoniae ssp. pneumoniae , Serratia marcescens, Raoutella sp., E. cloacae and Klebsiella oxytoca) were identified by conventional biochemical tests, while three species of bacteria (K. pneumoniae ssp. pneumoniae, S. marcescens and K. oxytoca ) were identified by VITEK®2 automated system. VITEK ®2 indicated agreement in 19 (79.17%) isolates and difference in five (20.83%) isolates when compared to results from conventional biochemical tests. Further, antibiotic susceptibility profile results showed that all isolates (100%) were resistant to at least one out of the 18 antibiotics tested by VITEK®2. Thus, no multi-resistant bacteria that may be used in effluent treatment systems or in bioremediation processes have been reported. Results indicate VITEK ® 2 automated system as a potential methodology in the determination of susceptibility profile and identification of environmental bacteria.Instituto Internacional de Ecologia2019-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842019000400555Brazilian Journal of Biology v.79 n.4 2019reponame:Brazilian Journal of Biologyinstname:Instituto Internacional de Ecologia (IIE)instacron:IIE10.1590/1519-6984.05616info:eu-repo/semantics/openAccessRave,A. F. G.Kuss,A. V.Peil,G. H. S.Ladeira,S. R.Villarreal,J. P. V.Nascente,P. S.eng2019-04-16T00:00:00Zoai:scielo:S1519-69842019000400555Revistahttps://www.scielo.br/j/bjb/https://old.scielo.br/oai/scielo-oai.phpbjb@bjb.com.br||bjb@bjb.com.br1678-43751519-6984opendoar:2019-04-16T00:00Brazilian Journal of Biology - Instituto Internacional de Ecologia (IIE)false
dc.title.none.fl_str_mv Biochemical identification techniques and antibiotic susceptibility profile of lipolytic ambiental bacteria from effluents
title Biochemical identification techniques and antibiotic susceptibility profile of lipolytic ambiental bacteria from effluents
spellingShingle Biochemical identification techniques and antibiotic susceptibility profile of lipolytic ambiental bacteria from effluents
Rave,A. F. G.
environmental bactéria
VITEK®2
S. marcescens
microorganisms
biochemistry
multi-resistant bacteria
title_short Biochemical identification techniques and antibiotic susceptibility profile of lipolytic ambiental bacteria from effluents
title_full Biochemical identification techniques and antibiotic susceptibility profile of lipolytic ambiental bacteria from effluents
title_fullStr Biochemical identification techniques and antibiotic susceptibility profile of lipolytic ambiental bacteria from effluents
title_full_unstemmed Biochemical identification techniques and antibiotic susceptibility profile of lipolytic ambiental bacteria from effluents
title_sort Biochemical identification techniques and antibiotic susceptibility profile of lipolytic ambiental bacteria from effluents
author Rave,A. F. G.
author_facet Rave,A. F. G.
Kuss,A. V.
Peil,G. H. S.
Ladeira,S. R.
Villarreal,J. P. V.
Nascente,P. S.
author_role author
author2 Kuss,A. V.
Peil,G. H. S.
Ladeira,S. R.
Villarreal,J. P. V.
Nascente,P. S.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Rave,A. F. G.
Kuss,A. V.
Peil,G. H. S.
Ladeira,S. R.
Villarreal,J. P. V.
Nascente,P. S.
dc.subject.por.fl_str_mv environmental bactéria
VITEK®2
S. marcescens
microorganisms
biochemistry
multi-resistant bacteria
topic environmental bactéria
VITEK®2
S. marcescens
microorganisms
biochemistry
multi-resistant bacteria
description Abstract Different methodologies have been developed throughout the years to identify environmental microorganisms to improve bioremediation techniques, determine susceptibility profiles of bacteria in contaminated environments, and reduce the impact of microorganisms in ecosystems. Two methods of bacterial biochemical identification are compared and the susceptibility profile of bacteria, isolated from residential and industrial wastewater, is determined. Twenty-four bacteria were retrieved from the bacteria bank of the Environmental Microbiology Laboratory at the Institute of Biology (IB) of the Universidade Federal de Pelotas, Pelotas, Brazil. Bacteria were identified by conventional biochemical tests and by the VITEK ®2 automated system. Further, the susceptibility profile to antibiotics was also determined by the automated system. Six species of bacteria (Raoutella planticola, K. pneumoniae ssp. pneumoniae , Serratia marcescens, Raoutella sp., E. cloacae and Klebsiella oxytoca) were identified by conventional biochemical tests, while three species of bacteria (K. pneumoniae ssp. pneumoniae, S. marcescens and K. oxytoca ) were identified by VITEK®2 automated system. VITEK ®2 indicated agreement in 19 (79.17%) isolates and difference in five (20.83%) isolates when compared to results from conventional biochemical tests. Further, antibiotic susceptibility profile results showed that all isolates (100%) were resistant to at least one out of the 18 antibiotics tested by VITEK®2. Thus, no multi-resistant bacteria that may be used in effluent treatment systems or in bioremediation processes have been reported. Results indicate VITEK ® 2 automated system as a potential methodology in the determination of susceptibility profile and identification of environmental bacteria.
publishDate 2019
dc.date.none.fl_str_mv 2019-11-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842019000400555
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842019000400555
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1519-6984.05616
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto Internacional de Ecologia
publisher.none.fl_str_mv Instituto Internacional de Ecologia
dc.source.none.fl_str_mv Brazilian Journal of Biology v.79 n.4 2019
reponame:Brazilian Journal of Biology
instname:Instituto Internacional de Ecologia (IIE)
instacron:IIE
instname_str Instituto Internacional de Ecologia (IIE)
instacron_str IIE
institution IIE
reponame_str Brazilian Journal of Biology
collection Brazilian Journal of Biology
repository.name.fl_str_mv Brazilian Journal of Biology - Instituto Internacional de Ecologia (IIE)
repository.mail.fl_str_mv bjb@bjb.com.br||bjb@bjb.com.br
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