Bacterial bioluminescence and Gumbel statistics: From quorum sensing to correlation

Side, D. Delle; Velardi, L.; Nassisi, V.; Pennetta, C.; Alifano, Pietro; Talà, Adelfia; Tredici, M.

doi:10.1063/1.4850530

Cited by 3 publications

(24 citation statements)

References 32 publications

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“…The same experimental data were observed to follow the extreme value Gumbel statistics [ 30 ]. However, the connection between this kind of statistical distribution and bioluminescence activation was hypothetical, and the Gumbel distribution parameters used to fit the data had no clear interpretation.…”

Section: Introductionmentioning

confidence: 84%

“…In describing bacteria as point-like sources, the transport time of AI through the bacterial membrane (approx. 20 s [ 51 ]) can be safely neglected, compared to the time interval between consecutive measurements of photon emission used in the experiments, 300 and 600 s [ 30 ].…”

Section: A Simplified Model For Bioluminescence Onset and Quenchingmentioning

confidence: 99%

“…This gives rise to a series of biochemical reactions in which part of the chemical energy involved is released as photons in the blue–green range. In the experiments considered here, the light emission by the colony increases and subsequently decays in course of time [ 30 ], as can be seen in figure 1 . As the number of active bacteria q ( t ) is never decreasing, their bioluminescent emission cannot be constant and has to decay in course of time.…”

Section: A Simplified Model For Bioluminescence Onset and Quenchingmentioning

confidence: 99%

“…

Figure 1. Experimental observations of the radiant flux emitted by bacteria (circles) as obtained in [ 30 ] and the corresponding fits (solid line) obtained by numerically solving equations ( 3.10 )–( 3.14 ). Different colours represent the different experimental curves measured in [ 30 ].…”

Section: A Simplified Model For Bioluminescence Onset and Quenchingmentioning

confidence: 99%

“…The model is directly tested to quantitatively reproduce the experimental distributions of emission times for photons emitted by growing bacterial colonies of Vibrio jasicida , a member of the Harveyi clade [ 28 , 29 ]. We use data that were previously measured for bacterial colonies growing in a highly drying environment [ 30 ]. This minimizes swarming and allows us to model bacteria as fixed on the growing substrate.…”

Section: Introductionmentioning

confidence: 99%

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Bacterial bioluminescence onset and quenching: a dynamical model for aquorum sensing-mediated property

et al. 2017

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We present an effective dynamical model for the onset of bacterial bioluminescence, one of the most studied quorum sensing-mediated traits. Our model is built upon simple equations that describe the growth of the bacterial colony, the production and accumulation of autoinducer signal molecules, their sensing within bacterial cells, and the ensuing quorum activation mechanism that triggers bioluminescent emission. The model is directly tested to quantitatively reproduce the experimental distributions of photon emission times, previously measured for bacterial colonies of Vibrio jasicida, a luminescent bacterium belonging to the Harveyi clade, growing in a highly drying environment. A distinctive and novel feature of the proposed model is bioluminescence ‘quenching’ after a given time elapsed from activation. Using an advanced fitting procedure based on the simulated annealing algorithm, we are able to infer from the experimental observations the biochemical parameters used in the model. Such parameters are in good agreement with the literature data. As a further result, we find that, at least in our experimental conditions, light emission in bioluminescent bacteria appears to originate from a subtle balance between colony growth and quorum activation due to autoinducers diffusion, with the two phenomena occurring on the same time scale. This finding is consistent with a negative feedback mechanism previously reported for Vibrio harveyi.

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Section: Introductionmentioning

confidence: 84%

Section: A Simplified Model For Bioluminescence Onset and Quenchingmentioning

confidence: 99%

Section: A Simplified Model For Bioluminescence Onset and Quenchingmentioning

confidence: 99%

“…

Section: A Simplified Model For Bioluminescence Onset and Quenchingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Bacterial bioluminescence onset and quenching: a dynamical model for aquorum sensing-mediated property

et al. 2017

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Aglaophenia octodonta (Cnidaria, Hydrozoa) and the Associated Microbial Community: a Cooperative Alliance?

et al. 2017

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Recently, genetic approaches have revealed a surprising bacterial world as well as a growing knowledge of the enormous distribution of animal-bacterial interactions. In the present study, the diversity of the microorganisms associated to the hydroid Aglaophenia octodonta was studied with epifluorescence, optical, and scanning electron microscopy. Small subunit ribosomal RNA gene sequencing with "universal" and taxon-specific primers allowed the assignment of the microalgae to Symbiodinium and the peritrich ciliates to Pseudovorticella, while the luminous vibrios were identified as Vibrio jasicida of the Harvey clade. To understand the possible relationships among Vibrio jasicida, Symbiodinium, A. octodonta, and Pseudovorticella, specific treatments were conducted in microcosm experiments, with the antibiotic ampicillin and other substances that interfere with bacterial and hydroid metabolism. Treatment of A. octodonta with ampicillin resulted in a decrease of bacterial luminescence followed by Pseudovorticella detachment and Symbiodinium expulsion and suggesting that these microorganisms form a "consortium" with beneficial metabolic interdependence. This hypothesis was reinforced by the evidence that low concentrations of hydrogen peroxide, which stimulate the bacterial oxidative metabolism and luminescence by releasing oxygen, were able to counteract the detrimental effect of ampicillin on the stability of the studied A. octodonta association. A model is proposed in which microalgae that release oxygen during photosynthesis are useful to luminous bacteria for their metabolism and for establishing/maintaining symbiosis leading to a close alliance and mutual benefit of the system A. octodonta-Vibrio jasicida-Pseudovorticella sp.-Symbiodinium sp.

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Quorum Sensing: Complexity in the bacterial world

Side

Giuffreda

Tredici

et al. 2015

Chaos, Solitons & Fractals

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Bacterial bioluminescence and Gumbel statistics: From quorum sensing to correlation

Cited by 3 publications

References 32 publications

Bacterial bioluminescence onset and quenching: a dynamical model for aquorum sensing-mediated property

Bacterial bioluminescence onset and quenching: a dynamical model for aquorum sensing-mediated property

Aglaophenia octodonta (Cnidaria, Hydrozoa) and the Associated Microbial Community: a Cooperative Alliance?

Quorum Sensing: Complexity in the bacterial world

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