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Viable real-time PCR in environmental samples: can all data be interpreted directly?
dc.contributor.author | Fittipaldi Gustavino, Mariana |
dc.contributor.author | Codony Iglesias, Francesc |
dc.contributor.author | Adrados Ruiz, Barbara |
dc.contributor.author | Camper, A.K. |
dc.contributor.author | Morató Farreras, Jordi |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Òptica i Optometria |
dc.date.accessioned | 2010-12-31T12:21:20Z |
dc.date.available | 2010-12-31T12:21:20Z |
dc.date.created | 2010-06-25 |
dc.date.issued | 2010-06-25 |
dc.identifier.citation | Fittipaldi, M. [et al.]. Viable real-time PCR in environmental samples: can all data be interpreted directly?. "Microbial ecology", 25 Juny 2010. |
dc.identifier.issn | 0095-3628 |
dc.identifier.uri | http://hdl.handle.net/2117/10870 |
dc.description.abstract | Selective nucleic acid intercalating dyes—ethidium monoazide (EMA) and propidium monoazide (PMA)— represent one of the most successful recent approaches to detect viable cells (as defined by an intact cell membrane) by PCR and have been effectively evaluated in different microorganisms. However, some practical limitations were found, especially in environmental samples. The aim of this work was to show that in the application of viable real-time PCR, there may be significant biases and to propose a strategy for overcoming some of these problems. We present an approach based on the combination of three real-time PCR amplifications for each sample that should provide an improved estimation of the number of viable cells. This approach could be useful especially when it is difficult to determine a priori how to optimize methods using PMA or EMA. Although further studies are required to improve viable real-time PCR methods, the concept as outlined here presents an interesting future research direction. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Ciències de la salut::Medicina |
dc.subject.lcsh | Biochemistry |
dc.title | Viable real-time PCR in environmental samples: can all data be interpreted directly? |
dc.type | Article |
dc.subject.lemac | Bioquímica |
dc.contributor.group | Universitat Politècnica de Catalunya. TMAS (T+) - Toxicologia i Microbiologia Ambiental i Sanitària |
dc.identifier.doi | 10.1007/s00248-010-9719-1 |
dc.relation.publisherversion | http://www.springerlink.com/content/h58rtt2115h73377/ |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 2641609 |
dc.description.version | Postprint (author’s final draft) |
local.citation.author | Fittipaldi, M.; Codony, F.; Adrados, B.; Camper, A.; Morató, J. |
local.citation.publicationName | Microbial ecology |
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