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1.
Appl Environ Microbiol ; 80(17): 5178-94, 2014 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-24928886

RESUMO

Fresh pork sausage is produced without a microbial kill step and therefore chilled or frozen to control microbial growth. In this report, the microbiota in a chilled fresh pork sausage model produced with or without an antimicrobial combination of sodium lactate and sodium diacetate was studied using a combination of traditional microbiological methods and deep pyrosequencing of 16S rRNA gene amplicons. In the untreated system, microbial populations rose from 10(2) to 10(6) CFU/g within 15 days of storage at 4°C, peaking at nearly 10(8) CFU/g by day 30. Pyrosequencing revealed a complex community at day 0, with taxa belonging to the Bacilli, Gammaproteobacteria, Betaproteobacteria, Actinobacteria, Bacteroidetes, and Clostridia. During storage at 4°C, the untreated system displayed a complex succession, with species of Weissella and Leuconostoc that dominate the product at day 0 being displaced by species of Pseudomonas (P. lini and P. psychrophila) within 15 days. By day 30, a second wave of taxa (Lactobacillus graminis, Carnobacterium divergens, Buttiauxella brennerae, Yersinia mollaretti, and a taxon of Serratia) dominated the population, and this succession coincided with significant chemical changes in the matrix. Treatment with lactate-diacetate altered the dynamics dramatically, yielding a monophasic growth curve of a single species of Lactobacillus (L. graminis), followed by a uniform selective die-off of the majority of species in the population. Of the six species of Lactobacillus that were routinely detected, L. graminis became the dominant member in all samples, and its origins were traced to the spice blend used in the formulation.


Assuntos
Bactérias/classificação , Bactérias/isolamento & purificação , Biota , Armazenamento de Alimentos , Produtos da Carne/microbiologia , Anti-Infecciosos/metabolismo , Bactérias/genética , DNA Bacteriano/química , DNA Bacteriano/genética , DNA Ribossômico/química , DNA Ribossômico/genética , Conservantes de Alimentos/metabolismo , Lactatos/metabolismo , RNA Ribossômico 16S/genética , Refrigeração , Análise de Sequência de DNA , Temperatura
2.
Appl Environ Microbiol ; 71(12): 8115-22, 2005 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-16332793

RESUMO

Pulsed-field gel electrophoresis and serotyping were performed for 544 isolates of Listeria monocytogenes, including 502 isolates recovered from contaminated samples from 31,705 retail ready-to-eat (RTE) food products and 42 isolates recovered from human cases of listeriosis. The isolates were from Maryland (294 isolates) and California (250 isolates) and were collected in 2000 and 2001. The isolates were placed into 16 AscI pulsogroups (level of relatedness within each group, > or =66%), 139 AscI pulsotypes (levels of relatedness, > or =25% to 100%), and eight serotypes (serotypes 1/2a, 1/2b, 1/2c, 3a, 3b, 4b, 4c, and 4d). The most frequently found pulsotypes belonged to either pulsogroup A (150 food isolates plus 4 clinical isolates) or pulsogroup B (104 food isolates plus 5 clinical isolates). The majority of the 502 food isolates were either serotype 1/2a (298 isolates) or serotype 1/2b (133 isolates), whereas the majority of the 42 clinical isolates were either serotype 1/2a (19 isolates) or serotype 4b (15 isolates). Additionally, 13 clinical isolates displayed pulsotypes also found in food isolates, whereas the remaining 29 clinical isolates displayed 24 unique pulsotypes. These data indicate that most (86%) of the L. monocytogenes subtypes found in the RTE foods sampled belonged to only two serotypes and that 90% of the isolates displayed 73 pulsotypes, with 107 isolates displaying pulsotype 1. These data should help define the distribution and relatedness of isolates found in RTE foods in comparison with isolates that cause listeriosis.


Assuntos
Contaminação de Alimentos , Microbiologia de Alimentos , Listeria monocytogenes/isolamento & purificação , Listeriose/etiologia , Eletroforese em Gel de Campo Pulsado , Humanos , Listeria monocytogenes/classificação , Sorotipagem , Estados Unidos
3.
Curr Microbiol ; 49(2): 95-8, 2004 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-15297913

RESUMO

Previous studies have suggested that carbohydrates may affect expression of virulence genes in Listeria monocytogenes. Which carbohydrates influence virulence gene expression and how carbohydrates mediate expression, however, is not clear. The goal of this work was to examine how carbohydrates affect virulence gene expression in L. monocytogenes 10403S. Growth studies were conducted in medium containing glucose and various sugars. Metabolism of arbutin, arabitol, cellobiose, mannose, maltose, trehalose, and salicin were repressed in the presence of glucose. Only when glucose was consumed were these sugars fermented, indicating that catabolite repression by glucose had occurred. To determine whether virulence gene expression was also influenced by catabolite repression, we performed primer extension experiments, using primers for hly and prfA, which encode for a hemolysin and the regulator protein PrfA, respectively. In the presence of cellobiose and arbutin, transcription of hemolysin was reduced. However, none of the sugars affected transcription of prfA. The results demonstrate that catabolite repression occurs in L. monocytogenes and suggests that, at least in strain 10403S, cellobiose and arbutin repress expression of hemolysin.


Assuntos
Regulação Bacteriana da Expressão Gênica , Listeria monocytogenes/genética , Listeria monocytogenes/metabolismo , Fatores de Virulência/genética , Fatores de Virulência/metabolismo , Arbutina/metabolismo , Proteínas de Bactérias/genética , Toxinas Bacterianas/genética , Álcoois Benzílicos/metabolismo , Metabolismo dos Carboidratos , Celobiose/metabolismo , Fermentação , Glucose/metabolismo , Glucosídeos , Proteínas de Choque Térmico/genética , Proteínas Hemolisinas , Listeria monocytogenes/crescimento & desenvolvimento , Maltose/metabolismo , Manose/metabolismo , Fatores de Terminação de Peptídeos , Álcoois Açúcares/metabolismo , Transativadores/genética , Transcrição Gênica , Trealose/metabolismo
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