Abstract:The influences of reactor conditions (substrate loading rate and shear) and microbial characteristics (yield and growth rate) on the structure of biofilms is discussed. Based on research on the formation of biofilms in Biofilm Airlift Suspension (BAS) reactors a hypothesis is postulated that the ratio between biofilm surface loading and shear rate determines the biofilm structure. When shear forces are relatively high only a patchy biofilm will develop, whereas at low shear rates the biofilm becomes highly het… Show more
“…They are characterized by a high population density and by structural organization (Stoodley et al, 1999a). Many different factors have been shown to influence biofilm formation, including the chemical nature of the substratum (Dalton et al, 1994 ;Cunliffe et al, 1999), the nature of the carbon source (Grotenhuis et al, 1991 ;Wolfaardt et al, 1994 ;Møller et al, 1997 ;Nielsen et al, 2000), carbon source concentration (Wimpenny & Colasanti, 1997 ;Picioreanu et al, 1998), osmolarity (O'Toole & Kolter, 1998), shear stress (Stoodley et al, 1999b ;Van Loosdrecht et al, 1995) and population composition (Murga et Kuehn et al, 1998 ;Lawrence et al, 1991 ;Nielsen et al, 2000). Biofilms in nature are often difficult to investigate and experimental conditions are ill defined.…”
The structural organization of microbial communities is influenced by many factors, e.g. nutrient composition, shear stress and temperature. This paper presents a general method for quantitative comparison of biofilm structures and assessment of experimental reproducibility between independent biofilm experiments. By using a novel computer program, COMSTAT, biofilm structures of Pseudomonas aeruginosa and an isogenic rpoS mutant were quantified. The strains were tagged with the green fluorescent protein (GFP) and grown in flow chambers with a defined minimal medium as substrate. Three independent rounds of biofilm experiments were performed and in each round, each of the two variants was grown in two separate channels. Nine image stacks were acquired in each channel 146 h after inoculation. An analysis of variance model incorporating the factors experiment round, bacterial strain, channel number and image stack number was used to analyse the data calculated by COMSTAT. Experimental reproducibility was verified by estimating the magnitude of the variance of the effects round (σ 2 R ) and the interaction between bacterial strain and round (σ 2 BR ). Mean thickness of the wild-type and rpoS mutant biofilms was estimated at 631 µm (SE 081 µm) and 1685 µm (SE 087 µm), respectively.
“…They are characterized by a high population density and by structural organization (Stoodley et al, 1999a). Many different factors have been shown to influence biofilm formation, including the chemical nature of the substratum (Dalton et al, 1994 ;Cunliffe et al, 1999), the nature of the carbon source (Grotenhuis et al, 1991 ;Wolfaardt et al, 1994 ;Møller et al, 1997 ;Nielsen et al, 2000), carbon source concentration (Wimpenny & Colasanti, 1997 ;Picioreanu et al, 1998), osmolarity (O'Toole & Kolter, 1998), shear stress (Stoodley et al, 1999b ;Van Loosdrecht et al, 1995) and population composition (Murga et Kuehn et al, 1998 ;Lawrence et al, 1991 ;Nielsen et al, 2000). Biofilms in nature are often difficult to investigate and experimental conditions are ill defined.…”
The structural organization of microbial communities is influenced by many factors, e.g. nutrient composition, shear stress and temperature. This paper presents a general method for quantitative comparison of biofilm structures and assessment of experimental reproducibility between independent biofilm experiments. By using a novel computer program, COMSTAT, biofilm structures of Pseudomonas aeruginosa and an isogenic rpoS mutant were quantified. The strains were tagged with the green fluorescent protein (GFP) and grown in flow chambers with a defined minimal medium as substrate. Three independent rounds of biofilm experiments were performed and in each round, each of the two variants was grown in two separate channels. Nine image stacks were acquired in each channel 146 h after inoculation. An analysis of variance model incorporating the factors experiment round, bacterial strain, channel number and image stack number was used to analyse the data calculated by COMSTAT. Experimental reproducibility was verified by estimating the magnitude of the variance of the effects round (σ 2 R ) and the interaction between bacterial strain and round (σ 2 BR ). Mean thickness of the wild-type and rpoS mutant biofilms was estimated at 631 µm (SE 081 µm) and 1685 µm (SE 087 µm), respectively.
Biofilms are considered a complexly structured community of microorganisms derived from their attached growth to abiotic and biotic surfaces. In human life, they mediate serious infections and cause many problems in civil and industrial facilities. While it is of huge interest for scientists to understand biofilms, it has been very hard to directly analyze the various biofilms in nature. A variety of biofilm models have been suggested for laboratory-scale biofilm formation and many methods based on these models are widely used for the biofilm researches. These biofilm models mimic characteristics of environmental biofilms with different advantages and disadvantages. In this review, we will introduce these currently used biofilm model systems and explain their relative merits.
“…La maturation du biofilm va engendrer la formation d'agrégats cellulaires, recouvrant de manière hétérogène la surface, formant ainsi une architecture microbienne tridimensionnelle (COSTERTON et al, 1987;COSTERTON et al, 1994;STOODLEy et al, 2002a;wIMPENNy et al, 2000). Au cours de la croissance du biofilm, des détachements de cellules microbiennes peuvent se produire sous l'action de différents mécanismes tels que l'érosion par des forces de cisaillement, l'abrasion causée par la collision avec des particules, la desquamation d'une fraction du biofilm, la prédation de certaines espèces bactérivores, une carence en nutriments, ou bien l'intervention de l'homme par le nettoyage des ouvrages (HUNT et al, 2004;LEHTOLA et al, 2004;ROCHEX et al, 2009;TELGMANN et al, 2004;vAN LOOSDRECHT et al, 1995;zACHEUS et al, 2001). Lorsque des cellules sont relarguées dans le milieu environnant, elles peuvent éventuellement reprendre un mode de vie planctonique ou non, et coloniser de nouvelles niches écologiques (STOODLEy et al, 2002a).…”
Section: Le Développement Des Biofilmsunclassified
L’émergence de pathogènes dans l’eau destinée à la consommation humaine représente une préoccupation majeure en matière de santé publique pour les industriels et les pouvoirs publics concernés. Parmi ces pathogènes, certains sont d’origine fécale (Cryptosporidium, Campylobacter ou bien les rotavirus), alors que d’autres vivent dans l’environnent naturel (Legionella, Pseudomonas, Aeromonas ou bien les mycobactéries). Dans l’optique de mettre en place une analyse des risques liés à la présence de ces pathogènes, il est important d’accroître nos connaissances sur l’écologie de ces microorganismes et de développer des outils d’analyse afin de réaliser une meilleure surveillance sanitaire. Par conséquent, l’écologie microbienne du réseau de distribution d’eau potable doit être étudiée en détail, particulièrement vis-à-vis des propriétés physiologiques et la diversité des espèces microbiennes présentes, afin de mieux comprendre les interactions entre les espèces communément rencontrées et celles pathogènes.The emergence of pathogens in water intended for human consumption is a major concern in terms of the public health industry and the public authorities concerned. Among these pathogens, some are of faecal origin (Cryptosporidium, Campylobacter, or rotavirus), while others live in the natural environment (Legionella, Pseudomonas, Aeromonas or mycobacteria). In order to establish a risk analysis related to the presence of these pathogens, it is important to increase our knowledge on the ecology of these microorganisms and to develop analytical tools to achieve better health monitoring. Therefore, the microbial ecology of drinking water distribution networks must be studied in detail, especially with respect to the properties and physiological diversity of the microbial species present, in order to better understand the interactions between species commonly encountered and those that are pathogens
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