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1.
Mol Ecol ; 32(10): 2413-2427, 2023 05.
Artículo en Inglés | MEDLINE | ID: mdl-35892285

RESUMEN

Understanding microbial dispersal is critical to understand the dynamics and evolution of microbial communities. However, microbial dispersal is difficult to study because of uncertainty about their vectors of migration. This applies to both microbial communities in natural and human-associated environments. Here, we studied microbial dispersal along the sourdoughs bread-making chain using a participatory research approach. Sourdough is a naturally fermented mixture of flour and water. It hosts a community of bacteria and yeasts whose origins are only partially known. We analysed the potential of wheat grains and flour to serve as an inoculum for sourdough microbial communities using 16S rDNA and ITS1 metabarcoding. First, in an experiment involving farmers, a miller and bakers, we followed the microbiota from grains to newly initiated and propagated sourdoughs. Second, we compared the microbiota of 46 sourdough samples collected everywhere in France, and of the flour used for their back-slopping. The core microbiota detected on the seeds, in the flour and in the sourdough was composed mainly of microbes known to be associated with plants and not living in sourdoughs. No sourdough yeast species were detected on grains and flours. Sourdough lactic acid bacteria were rarely found in flour. When they were, they did not have the same amplicon sequence variant (ASV) as found in the corresponding sourdough. However, the low sequencing depth for bacteria in flour did not allow us to draw definitive conclusion. Thus, our results showed that sourdough yeasts did not come from flour, and suggest that neither do sourdough LAB.


Asunto(s)
Microbiota , Triticum , Humanos , Triticum/microbiología , Investigación Participativa Basada en la Comunidad , Fermentación , Microbiología de Alimentos , Microbiota/genética , Bacterias/genética , Levaduras/genética , Pan/análisis , Pan/microbiología
2.
FEMS Microbiol Ecol ; 93(5)2017 05 01.
Artículo en Inglés | MEDLINE | ID: mdl-28459967

RESUMEN

To diversify their genetic material, and thereby allow adaptation to environmental disturbances and colonization of new ecological niches, bacteria use various evolutionary processes, including the acquisition of new genetic material by horizontal transfer mechanisms such as conjugation, transduction and transformation. Electrotransformation mediated by lightning-related electrical phenomena may constitute an additional gene-transfer mechanism occurring in nature. The presence in clouds of bacteria such as Pseudomonas syringae capable of forming ice nuclei that lead to precipitation, and that are likely to be involved in triggering lightning, led us to postulate that natural electrotransformation in clouds may contribute to the adaptive potential of these bacteria. Here, we quantify the survival rate of 10 P. syringae strains in liquid and icy media under such electrical pulses and their capacity to acquire exogenous DNA. In comparison to two other bacteria (Pseudomonas sp. N3 and Escherichia coli TOP10), P. syringae CC0094 appears to be best adapted for survival and for genetic electrotransformation under these conditions, which suggests that this bacterium would be able to survive and to get a boost in its adaptive potential while being transported in clouds and falling back to Earth with precipitation from storms.


Asunto(s)
Adaptación Fisiológica/genética , Transferencia de Gen Horizontal/genética , Pseudomonas syringae/genética , Pseudomonas syringae/metabolismo , Evolución Biológica , ADN Bacteriano/metabolismo , Estimulación Eléctrica , Electroporación/métodos , Escherichia coli/genética , Hielo , Relámpago , Pseudomonas syringae/crecimiento & desarrollo , Tiempo (Meteorología)
3.
Int J Food Microbiol ; 239: 35-43, 2016 Dec 19.
Artículo en Inglés | MEDLINE | ID: mdl-27539249

RESUMEN

In order to contribute to the description of sourdough LAB composition, MiSeq sequencing and qPCR methods were performed in association with cultural methods. A panel of 16 French organic bakers and farmer-bakers were selected for this work. The lactic acid bacteria (LAB) diversity of their organic sourdoughs was investigated quantitatively and qualitatively combining (i) Lactobacillus sanfranciscensis-specific qPCR, (ii) global sequencing with MiSeq Illumina technology and (iii) molecular isolates identification. In addition, LAB and yeast enumeration, pH, Total Titratable Acidity, organic acids and bread specific volume were analyzed. Microbial and physico-chemical data were statistically treated by Principal Component Analysis (PCA) and Hierarchical Ascendant Classification (HAC). Total yeast counts were 6 log10 to 7.6 log10CFU/g while LAB counts varied from 7.2 log10 to 9.6 log10CFU/g. Values obtained by L. sanfranciscensis-specific qPCR were estimated between 7.2 and 10.3 log10CFU/g, except for one sample at 4.4 log10CFU/g. HAC and PCA clustered the sixteen sourdoughs into three classes described by their variables but without links to bakers' practices. L. sanfranciscensis was the dominant species in 13 of the 16 sourdoughs analyzed by Next Generation Sequencing (NGS), by the culture dependent method this species was dominant only in only 10 samples. Based on isolates identification, LAB diversity was higher for 7 sourdoughs with the recovery of L. curvatus, L. brevis, L. heilongjiangensis, L. xiangfangensis, L. koreensis, L. pontis, Weissella sp. and Pediococcus pentosaceus, as the most representative species. L. koreensis, L. heilongjiangensis and L. xiangfangensis were identified in traditional Asian food and here for the first time as dominant in organic sourdough. This study highlighted that L. sanfranciscensis was not the major species in 6/16 sourdough samples and that a relatively high LAB diversity can be observed in French organic sourdough.


Asunto(s)
Pan/microbiología , Fermentación/fisiología , Microbiología de Alimentos , Lactobacillus/clasificación , Lactobacillus/metabolismo , Saccharomyces cerevisiae/metabolismo , Secuenciación de Nucleótidos de Alto Rendimiento , Ácido Láctico/metabolismo , Lactobacillus/genética , ARN Ribosómico 16S/genética , Reacción en Cadena en Tiempo Real de la Polimerasa , Saccharomyces cerevisiae/genética , Análisis de Secuencia de ARN
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