Literature DB >> 9072519

Computer-aided comparison of protein electrophoretic patterns for grouping and identification of heterotrophic bacteria from mineral water.

A C Ferreira1, P V Morais, C Gomes, M S da Costa.   

Abstract

The microflora of a natural mineral water was studied immediately after bottling (T0) and after 7 d storage (T7) during 6 months, and isolates were clustered by SDS-PAGE of whole-cell protein profiles. Isolates from each cluster were further characterized by API 20NE, fatty acid composition and quinone profiles. The numerical analysis of the electrophoregrams of all bacteria isolated from the mineral water formed 15 clusters and five unclustered strains. Except for five minor clusters, all clusters were composed of strains isolated over several months. The numerical analysis of the electrophoregrams of bacteria isolated immediately after bottling formed 15 clusters while after 7 d storage only four of these populations could be isolated, indicating the populations present in the mineral water were stable and that changes occurring after bottling probably resulted from a selection process. Only one unclustered strain was identified simultaneously by all the systems, as Sphingomonas paucimobilis. The monitoring of the aquifer and the bottling system, and the construction of a large database with bacteria of the autochthonous flora allows the detection of alterations in the aquifer by changes in the microflora.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 9072519     DOI: 10.1111/j.1365-2672.1996.tb03246.x

Source DB:  PubMed          Journal:  J Appl Bacteriol        ISSN: 0021-8847


  2 in total

1.  Investigation of persistent colonization by Pseudomonas aeruginosa-like strains in a spring water bottling plant.

Authors:  P V Morais; C Mesquita; J L Andrade; M S da Costa
Journal:  Appl Environ Microbiol       Date:  1997-03       Impact factor: 4.792

2.  Opportunistic pathogens and elements of the resistome that are common in bottled mineral water support the need for continuous surveillance.

Authors:  Maria Fernanda Falcone-Dias; Daniela Centrón; Fernando Pavan; Adriana Candido da Silva Moura; Felipe Gomes Naveca; Victor Costa de Souza; Adalberto Farache Filho; Clarice Queico Fujimura Leite
Journal:  PLoS One       Date:  2015-03-24       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.