Biodiversity and dynamics of meat fermentations: the contribution of molecular methods for a better comprehension of a complex microbial ecosystem
Articolo
Data di Pubblicazione:
2011
Abstract:
The ecology of fermented sausages is complex and includes different species and strains of bacteria, yeasts and
molds. The developments in the field of molecular biology, allowed for new methods to become available,
which could be applied to better understand dynamics and diversity of the microorganisms involved in the
production of sausages. Methods, such as denaturing gradient gel electrophoresis (DGGE), employed as a
culture-independent approach, allow to define the microbial dynamics during the fermentation and ripening.
Such approach has highlighted that two main species of lactic acid bacteria, namely Lactobacillus sakei and Lb.
curvatus, are involved in the transformation process and that they are accompanied by Staphylococcus xylosus,
as representative of the coagulase-negative cocci. These findings were repeatedly confirmed in different
regions of the world, mainly in the Mediterranean countries where dry fermented sausages have a long
tradition and history. The application of molecular methods for the identification and characterization of
isolated strains from fermentations highlighted a high degree of diversity within the species mentioned
above, underlining the need to better follow strain dynamics during the transformation process. While there
is an important number of papers dealing with bacterial ecology by using molecular methods, studies on
mycobiota of fermented sausages are just a few. This review reports on how the application of molecular
methods made possible a better comprehension of the sausage fermentations, opening up new fields of
research that in the near future will allow to unravel the connection between sensory properties and copresence
of multiple strains of the same species.
Tipologia CRIS:
03A-Articolo su Rivista
Keywords:
Sausages; Ecology; Molecular methods; Culture-dependent methods; Culture-independent methods
Elenco autori:
L. COCOLIN; P. DOLCI; K. RANTSIOU
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