Literature DB >> 16181692

Application of reverse transcriptase PCR-based T-RFLP to perform semi-quantitative analysis of metabolically active bacteria in dairy fermentations.

Jorge I Sánchez1, Lia Rossetti, Beatriz Martínez, Ana Rodríguez, Giorgio Giraffa.   

Abstract

A method consisting of reverse transcriptase (RT)-PCR amplification of 16S rRNA from the total microbial community, coupled with T-RFLP, was optimized for semi-quantitative characterization of the metabolically active population in defined strain cultures of Lactococcus lactis ssp. lactis and Leuconostoc citreum, two mesophilic lactic acid bacteria (LAB) species routinely used in cheese manufacture. The set of PCR primers selected efficiently amplified the 16S rRNA from both bacterial species. The digestion of the PCR products with DdeI yielded different terminal restriction fragments (T-RFs) for each species. Nevertheless, additional T-RFs due to formation of chimeric molecules and pseudo-T-RFs derived from partly single-stranded 16S rRNA amplicons were observed in both species, although in minor amounts. Twenty PCR cycles were determined as the optimum to minimize the presence of artifactual fragments and to avoid underestimation of populations due to the saturation effect on DNA quantification caused by a PCR product excess. T-RFLP analysis showed a good repeatability when applied to mixed dairy cultures. Dynamics of two defined mixed starters consisting of a L. lactis ssp. lactis strain and a L. citreum strain were studied by this method and results compared to those obtained by a culture-dependent technique. The data indicated the suitability of T-RFLP to perform semi-quantitative analyses of microbial populations. Some slight differences could be explained by the presence of metabolically active cells that could not be detected by colony counting. RT-PCR-based T-RFLP can be an alternative to classical methods in order to study dynamics of metabolically active populations in relatively simple microbial ecosystems, such as defined dairy starter cultures.

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Year:  2005        PMID: 16181692     DOI: 10.1016/j.mimet.2005.07.018

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  7 in total

1.  Application of terminal restriction fragment length polymorphism (T-RFLP) analysis to monitor effect of biocontrol agents on rhizosphere microbial community of hot pepper (Capsicum annuum L.).

Authors:  Young Tae Kim; Myoungho Cho; Je Yong Jeong; Hyang Burm Lee; Seung Bum Kim
Journal:  J Microbiol       Date:  2010-11-03       Impact factor: 3.422

2.  Terminal restriction fragment length polymorphism (T-RFLP) analysis: Characterizing the unseen.

Authors:  J Pandey; S S Sood; R K Jain
Journal:  Indian J Microbiol       Date:  2007-06-14       Impact factor: 2.461

3.  DGGE and T-RFLP analysis of bacterial succession during mushroom compost production and sequence-aided T-RFLP profile of mature compost.

Authors:  Anna J Székely; Rita Sipos; Brigitta Berta; Balázs Vajna; Csaba Hajdú; Károly Márialigeti
Journal:  Microb Ecol       Date:  2008-07-25       Impact factor: 4.552

4.  Polyphasic approach to bacterial dynamics during the ripening of Spanish farmhouse cheese, using culture-dependent and -independent methods.

Authors:  Antonio M Martín-Platero; Eva Valdivia; Mercedes Maqueda; Inés Martín-Sánchez; Manuel Martínez-Bueno
Journal:  Appl Environ Microbiol       Date:  2008-07-25       Impact factor: 4.792

5.  Effects of a Simulated Acute Oil Spillage on Bacterial Communities from Arctic and Antarctic Marine Sediments.

Authors:  Carmen Rizzo; Roberta Malavenda; Berna Gerçe; Maria Papale; Christoph Syldatk; Rudolf Hausmann; Vivia Bruni; Luigi Michaud; Angelina Lo Giudice; Stefano Amalfitano
Journal:  Microorganisms       Date:  2019-11-30

6.  Studying bacteria in respiratory specimens by using conventional and molecular microbiological approaches.

Authors:  Geraint B Rogers; Thomas W V Daniels; Andrew Tuck; Mary P Carroll; Gary J Connett; Gondi J P David; Kenneth D Bruce
Journal:  BMC Pulm Med       Date:  2009-04-15       Impact factor: 3.317

Review 7.  Microbial Interactions within the Cheese Ecosystem and Their Application to Improve Quality and Safety.

Authors:  Baltasar Mayo; Javier Rodríguez; Lucía Vázquez; Ana Belén Flórez
Journal:  Foods       Date:  2021-03-12
  7 in total

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