Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/51335
Campo DC Valoridioma
dc.contributor.authorAssunção, Patrícia
dc.contributor.authorRosales, Ruben S.
dc.contributor.authorRifatbegović, Maid
dc.contributor.authorAntunes, Nuno T.
dc.contributor.authorDe La Fe, Christian
dc.contributor.authorRuiz De Galarreta, Carlos M.
dc.contributor.authorPoveda, JB
dc.contributor.otherPoveda, Jose
dc.contributor.otherDe la Fe, Christian
dc.contributor.otherRosales, Ruben
dc.contributor.otherRosales, Ruben S.
dc.date.accessioned2018-11-24T23:41:25Z-
dc.date.available2018-11-24T23:41:25Z-
dc.date.issued2006
dc.identifier.issn1093-9946
dc.identifier.urihttp://hdl.handle.net/10553/51335-
dc.description.abstractMycoplasmas are the smallest and simplest organisms known. They form a large group of bacteria that can infect humans, animals, and plants. Even though several techniques have been proposed to enumerate mycoplasmas in broth medium, the determination of mycoplasma growth still remains a difficult task. The potential of using flow cytometry (FC) for rapidly estimating several species of mycoplasmas, M. agalactiae (Ma), M. putrefaciens (Mp), M. capricolum subsp. capricolum (Mcc), M. bovis (Mb), M. capricolum subsp. capripneumoniae (Mccp) and M. hyopneumoniae (Mh) in broth medium was examined. The FC analysis was performed by staining the mycoplasma cells with a fluorescent dye, SYBR green-I ( SYBR), and the results were compared with plate count (Colony Forming Units - CFU) or Colour Changing Units (CCU) methods, depending on the mycoplasma species. There was a good correlation between mycoplasma counts determined by FC (cells ml(-1)) and by traditional plate count (CFU) or CCU methods. A correlation of 0.841, 0.981, 0.960, 0.913, 0.954, and 0.844 was obtained for Ma, Mp, Mcc, Mb, Mccp and Mh, respectively. FC method allowed results in 20-30 min, while 24-72 h was necessary for plate count method and 15 days for CCU method. FC was found to be a very useful, practical and fast technique to count mycoplasmas. These findings suggest that FC can be a good alternative to replace other time-consuming techniques that are currently used to enumerate mycoplasmas in broth medium.
dc.publisher1093-9946
dc.relation.ispartofFrontiers in Bioscience - Landmark
dc.sourceFrontiers In Bioscience[ISSN 1093-9946],v. 11, p. 492-497
dc.subject.otherNucleic-Acid Content
dc.subject.otherGrowth
dc.subject.otherBacteria
dc.subject.otherEnumeration
dc.subject.otherHyopneumoniae
dc.subject.otherPopulations
dc.subject.otherFlocculare
dc.subject.otherMycoides
dc.subject.otherViruses
dc.subject.otherCulture
dc.titleQuantification of mycoplasmas in broth medium with sybr green-I and flow cytometry
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.2741/1812
dc.identifier.scopus32944472128
dc.identifier.isi000232528000038
dcterms.isPartOfFrontiers In Bioscience
dcterms.sourceFrontiers In Bioscience[ISSN 1093-9946],v. 11, p. 492-497
dc.contributor.authorscopusid6701838348
dc.contributor.authorscopusid8552025600
dc.contributor.authorscopusid16234887600
dc.contributor.authorscopusid57196635499
dc.contributor.authorscopusid9036230000
dc.contributor.authorscopusid7003806034
dc.contributor.authorscopusid7005736558
dc.description.lastpage497
dc.description.firstpage492
dc.relation.volume11
dc.type2Artículoes
dc.identifier.wosWOS:000232528000038
dc.contributor.daisngid21575212
dc.contributor.daisngid907575
dc.contributor.daisngid4239828
dc.contributor.daisngid1398738
dc.contributor.daisngid513821
dc.contributor.daisngid1664323
dc.contributor.daisngid498394
dc.identifier.investigatorRIDL-5987-2014
dc.identifier.investigatorRIDF-3373-2016
dc.identifier.investigatorRIDA-5679-2013
dc.identifier.investigatorRIDNo ID
dc.contributor.wosstandardWOS:Assuncao, P
dc.contributor.wosstandardWOS:Rosales, RS
dc.contributor.wosstandardWOS:Rifatbegovic, M
dc.contributor.wosstandardWOS:Antunes, NT
dc.contributor.wosstandardWOS:de la Fe, C
dc.contributor.wosstandardWOS:de Galarreta, CMR
dc.contributor.wosstandardWOS:Poveda, JB
dc.date.coverdateFebrero 2006
dc.identifier.ulpgces
dc.description.jcr2,771
dc.description.jcrqQ2
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IUSA-ONEHEALTH1: Epidemiología, Medicina Preventiva Veterinaria y Zoonosis-
crisitem.author.deptIU de Sanidad Animal y Seguridad Alimentaria-
crisitem.author.deptDepartamento de Patología Animal, Producción Animal, Bromatología y Tecnología de Los Alimentos-
crisitem.author.deptGIR IUSA-ONEHEALTH1: Epidemiología, Medicina Preventiva Veterinaria y Zoonosis-
crisitem.author.deptIU de Sanidad Animal y Seguridad Alimentaria-
crisitem.author.deptDepartamento de Patología Animal, Producción Animal, Bromatología y Tecnología de Los Alimentos-
crisitem.author.orcid0000-0003-3706-0181-
crisitem.author.orcid0000-0002-9846-2427-
crisitem.author.parentorgIU de Sanidad Animal y Seguridad Alimentaria-
crisitem.author.parentorgIU de Sanidad Animal y Seguridad Alimentaria-
crisitem.author.fullNameRosales Santana, Rubén Sebastián-
crisitem.author.fullNamePoveda Guerrero, José Bismarck-
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