Microbial growth dynamics and human disease

Science ◽  
2015 ◽  
Vol 349 (6252) ◽  
pp. 1058-1059 ◽  
Author(s):  
J. A. Segre
Keyword(s):  
Human Disease ◽  
Microbial Growth ◽  
Growth Dynamics

scholarly journals Competitive exclusion and metabolic dependency among microorganisms structure the cellulose economy of agricultural soil

2020 ◽  
Author(s):  
Roland C Wilhelm ◽  
Charles Pepe-Ranney ◽  
Pamela Weisenhorn ◽  
Mary Lipton ◽  
Daniel H. Buckley
Keyword(s):  
Microbial Growth ◽  
Competitive Exclusion ◽  
Antibiotic Production ◽  
Growth Dynamics ◽  
Soil Disturbance ◽  
Gliding Motility ◽  
Cellulolytic Microorganisms ◽  
Trade Offs ◽  
Self Sufficiency ◽  
Attachment Structures

Abstract Many cellulolytic microorganisms degrade cellulose through extracellular processes that yield free intermediates which promote interactions with non-cellulolytic organisms. We hypothesize that these interactions determine the ecological and physiological traits that govern the fate of cellulosic carbon (C) in soil. We evaluated the genomic potential of soil microorganisms that access C from 13 C-labeled cellulose. We used metagenomic-SIP and metaproteomics to evaluate whether cellulolytic and non-cellulolytic microbes that access 13 C from cellulose encode traits indicative of metabolic dependency or competitive exclusion. The most highly 13 C-enriched taxa were cellulolytic Cellvibrio ( Gammaproteobacteria ) and Chaetomium ( Ascomycota ), which exhibited a strategy of self-sufficiency (prototrophy), rapid growth, and competitive exclusion via antibiotic production. These ruderal taxa were common indicators of soil disturbance in agroecosystems, such as tillage and fertilization. Auxotrophy was more prevalent in cellulolytic Actinobacteria than in cellulolytic Proteobacteria , demonstrating differences in dependency among cellulose degraders. Non-cellulolytic taxa that accessed 13 C from cellulose ( Planctomycetales , Verrucomicrobia and Vampirovibrionales ) were highly dependent, as indicated by patterns of auxotrophy and 13 C-labeling (i.e. partial labelling or labeling at later-stages). Major 13 C-labeled cellulolytic microbes ( e.g. Sorangium, Actinomycetales, Rhizobiales and Caulobacteraceae ) possessed adaptations for surface colonization ( e.g. gliding motility, hyphae, attachment structures) signifying the importance of surface ecology in decomposition. These results suggest that access to cellulose was accompanied by ecological trade-offs characterized by differing degrees of metabolic dependency and competitive exclusion. These trade-offs likely influence microbial growth dynamics on particulate organic carbon and reveal that the fate of carbon is governed by a complex economy within the microbial community.

Microbial growth dynamics on the basis of individual budgets

1992 ◽  
pp. 159-174
Author(s):  
S. A. L. M. Kooijman ◽  
E. B. Muller ◽  
A. H. Stouthamer
Keyword(s):  
Microbial Growth ◽  
Growth Dynamics

Effects of silver nanoparticles on microbial growth dynamics

2012 ◽  
Vol 114 (1) ◽  
pp. 25-35 ◽  
Author(s):  
V.J. Schacht ◽  
L.V. Neumann ◽  
S.K. Sandhi ◽  
L. Chen ◽  
T. Henning ◽  
...  
Keyword(s):  
Silver Nanoparticles ◽  
Microbial Growth ◽  
Growth Dynamics

Microbial growth dynamics on the basis of individual budgets

1991 ◽  
Vol 60 (3-4) ◽  
pp. 159-174 ◽  
Author(s):  
S. A. L. M. Kooijman ◽  
E. B. Muller ◽  
A. H. Stouthamer
Keyword(s):  
Microbial Growth ◽  
Growth Dynamics

Microbial Growth Dynamics

2011 ◽  
pp. 257-283 ◽  
Author(s):  
N.S. Panikov
Keyword(s):  
Microbial Growth ◽  
Growth Dynamics

scholarly journals Food Microstructure and Fat Content Affect Growth Morphology, Growth Kinetics, and Preferred Phase for Cell Growth ofListeria monocytogenesin Fish-Based Model Systems

2019 ◽  
Vol 85 (16) ◽  
Author(s):  
Davy Verheyen ◽  
Xiang Ming Xu ◽  
Marlies Govaert ◽  
Maria Baka ◽  
Torstein Skåra ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Microbial Growth ◽  
Growth Dynamics ◽  
Growth Behavior ◽  
Laser Scanning Microscopy ◽  
Model Systems ◽  
Confocal Laser ◽  
Growth Morphology ◽  
Content Type ◽  
Food Model

ABSTRACTFood microstructure significantly affects microbial growth dynamics, but knowledge concerning the exact influencing mechanisms at a microscopic scale is limited. The food microstructural influence onListeria monocytogenes(green fluorescent protein strain) growth at 10°C in fish-based food model systems was investigated by confocal laser scanning microscopy. The model systems had different microstructures, i.e., liquid, xanthan (high-viscosity liquid), aqueous gel, and emulsion and gelled emulsion systems varying in fat content. Bacteria grew as single cells, small aggregates, and microcolonies of different sizes (based on colony radii [size I, 1.5 to 5.0 μm; size II, 5.0 to 10.0 μm; size III, 10.0 to 15.0 μm; and size IV, ≥15 μm]). In the liquid, small aggregates and size I microcolonies were predominantly present, while size II and III microcolonies were predominant in the xanthan and aqueous gel. Cells in the emulsions and gelled emulsions grew in the aqueous phase and on the fat-water interface. A microbial adhesion to solvent assay demonstrated limited bacterial nonpolar solvent affinities, implying that this behavior was probably not caused by cell surface hydrophobicity. In systems containing 1 and 5% fat, the largest cell volume was mainly represented by size I and II microcolonies, while at 10 and 20% fat a few size IV microcolonies comprised nearly the total cell volume. Microscopic results (concerning, e.g., growth morphology, microcolony size, intercolony distances, and the preferred phase for growth) were related to previously obtained macroscopic growth dynamics in the model systems for anL. monocytogenesstrain cocktail, leading to more substantiated explanations for the influence of food microstructural aspects on lag phase duration and growth rate.IMPORTANCEListeria monocytogenesis one of the most hazardous foodborne pathogens due to the high fatality rate of the disease (i.e., listeriosis). In this study, the growth behavior ofL. monocytogeneswas investigated at a microscopic scale in food model systems that mimic processed fish products (e.g., fish paté and fish soup), and the results were related to macroscopic growth parameters. Many studies have previously focused on the food microstructural influence on microbial growth. The novelty of this work lies in (i) the microscopic investigation of products with a complex composition and/or structure using confocal laser scanning microscopy and (ii) the direct link to the macroscopic level. Growth behavior (i.e., concerning bacterial growth morphology and preferred phase for growth) was more complex than assumed in common macroscopic studies. Consequently, the effectiveness of industrial antimicrobial food preservation technologies (e.g., thermal processing) might be overestimated for certain products, which may have critical food safety implications.

Microbial Growth Dynamics

2019 ◽  
pp. 231-273
Author(s):  
N.S. Panikov
Keyword(s):  
Microbial Growth ◽  
Growth Dynamics
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