Individuality in Bacteria

Davidson, Carla J; Surette, Michael G.

doi:10.1146/annurev.genet.42.110807.091601

Cited by 186 publications

(168 citation statements)

References 91 publications

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“…Advances in the study of microbial individuality have revealed that the typical population-level focus in microbiology can mask the existence of different phenotypes in microbial communities (99,100). Individuality (i.e., cell-to-cell phenotypic variability) of bacteria is an important factor driving microbial ecology and evolution (101,102). Future research should aim to study this phenotypic variation between microbial individuals, particularly in terms of trading partner quality.…”

Section: Discussion and Perspectivesmentioning

confidence: 99%

Evolution of microbial markets

Werner

Strassmann

Ivens

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

184

139

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Biological market theory has been used successfully to explain cooperative behavior in many animal species. Microbes also engage in cooperative behaviors, both with hosts and other microbes, that can be described in economic terms. However, a market approach is not traditionally used to analyze these interactions. Here, we extend the biological market framework to ask whether this theory is of use to evolutionary biologists studying microbes. We consider six economic strategies used by microbes to optimize their success in markets. We argue that an economic market framework is a useful tool to generate specific and interesting predictions about microbial interactions, including the evolution of partner discrimination, hoarding strategies, specialized versus diversified mutualistic services, and the role of spatial structures, such as flocks and consortia. There is untapped potential for studying the evolutionary dynamics of microbial systems. Market theory can help structure this potential by characterizing strategic investment of microbes across a diversity of conditions. cooperation | mutualism | trade | partner choice

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Section: Discussion and Perspectivesmentioning

confidence: 99%

Evolution of microbial markets

Werner

Strassmann

Ivens

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

184

139

View full text Add to dashboard Cite

show abstract

“…Unlike resistance, which is genetically acquired and passed on to subsequent generations, persistence is a transient phenotype, which seems to be in an arrested growth state, which could spontaneously switch to fast growth and generate a population that is sensitive to the antibiotic with a small proportion of tolerant antibiotic cells. Numerous factors have been proposed as being responsible for the persistence phenotype occurring independently of stable genetic changes [39]. Recent research has shown that persistence of the model organism Escherichia coli depends on toxin-antitoxin (TA) loci [17,39,40,41] where the overproduction of toxin encoded by TA loci induces a persistence-like state from which the cells could be resuscitated by the induction of antitoxin gene transcription.…”

Section: Discussionmentioning

confidence: 99%

UPEC strain characterization isolated from Mexican patients with recurrent urinary infections

Morales-Espinosa

Hernández‐Castro

Delgado

et al. 2016

J Infect Dev Ctries

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Introduction: Any microorganism is capable of causing urinary tract infections (UTI). However, Uropathogenic Escherichia coli (UPEC) is responsible for the majority of UTI. A variety of virulence genes have been identified in UPEC. Diverse epidemiological studies support that specific subsets of genes are characteristic of each E. coli uropathogenic subtype involved in the development of cystitis, pyelonephritis, and urosepsis. Methodology: Twenty-three E. coli strains isolated from women with cystitis, 25 from men with prostatitis were characterized according to serotype, virulence genes, PFGE profile and susceptibility antimicrobials. Results: E. coli O25:H4-ST131 was more frequently isolated from cystitis than prostatitis. The majority of cystitis strains presented almost all the virulence genes, contrary to 60% of prostatitis strains. The strains characterized by serology, PFGE and MLST and virulence profile showed that cystitis strains shared a lineage with their own genomic fingerprint, indicating that these strains derived from a common ancestor. The prostatitis strains showed serotypes diverse and much higher degree of genetic diversity, indicating that they are an unrelated group. More than 50% of isolates were resistant to at least 7 of the antimicrobials tested. Antibiotic-tolerant cells were observed, presenting with more frequency in response chloramphenicol, tetracycline, trimethoprim-sulfometoxazole and dicloxicillin. Conclusions: Persister cells can be detected from the beginning of the infection. The importance of these persister cells that exhibit multidrug tolerance is that a single surviving bacterium can initiate again an infection making it clinical relevant in the chronic urinary tract infection.

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“…Heterogeneity in cell populations is a ubiquitous phenomenon that is observed even in the case of clonal cells (Avery, 2006;Davidson and Surette, 2008). This inherent property of cell populations stems from numerous sources, in particular, the random occurrence of intracellular reactions, the differences in the cell growth rates, the temporal variability in the transitions through the different phases of the cell cycle as well as in the division times, and finally, the stochasticity in the partitioning of mother cell contents to the two daughters.…”

Section: Introductionmentioning

confidence: 99%

Cell population balance and hybrid modeling of population dynamics for a single gene with feedback

Stamatakis¹

2013

Computers & Chemical Engineering

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Latest research on biological systems is steadily shifting from isolated single cells to entire cell populations. The latter are inherently heterogeneous, and their modeling requires approaches that explicitly account for this property. A comprehensive such approach is the cell population balance (CPB), which, however, is computationally expensive and becomes intractable for multivariable models.In this work, we demonstrate the use of model-reduction to efficiently simulate cell population heterogeneity in a genetic network of a single gene with feedback. Starting from a 4-species model we use singular perturbation analysis to derive a single equation for the intracellular protein concentration. We subsequently incorporate this equation to a hybrid model consisting of a CPB for the cell volume, and a continuum equation for the protein concentration. We finally compare the results obtained with the hybrid model with those of the full CPB, demonstrating the accuracy and computational efficiency of the hybrid methodology.

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Individuality in Bacteria

Cited by 186 publications

References 91 publications

Evolution of microbial markets

Evolution of microbial markets

UPEC strain characterization isolated from Mexican patients with recurrent urinary infections

Cell population balance and hybrid modeling of population dynamics for a single gene with feedback

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