A model for predicting Xanthomonas arboricola pv. pruni growth as a function of temperature

Morales, Gerard; Llorente, Isidre; Seguí, Emilio Montesinos; Moragrega, C.

doi:10.1371/journal.pone.0177583

Cited by 15 publications

(19 citation statements)

References 47 publications

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“…The capacity of Xap for spread, weather conditions and disease outbreaks are closely associated, and so the disease does not show a very consistent pattern (Battilani et al ., ). A forecast model has been developed for peach in France (Garcin et al ., ) and studies for the development of a prediction model have been performed in Spain (Morales et al ., ). All of these studies must be validated during several seasons for different Prunus species and under local conditions.…”

Section: Bacterial Spot Of Stone Fruits and Almond: Disease Managementmentioning

confidence: 99%

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Xanthomonas arboricola pv. pruni, causal agent of bacterial spot of stone fruits and almond: its genomic and phenotypic characteristics in the X. arboricola species context

Garita-Cambronero

Palacio-Bielsa

Cubero

2018

Molecular Plant Pathology

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Management of bacterial spot of stone fruits and almond is based on an integrated approach that comprises essential measures to avoid Xap introduction in a production zone, as well as the use of tolerant or resistant plant material and chemical treatments, mainly based on copper compounds. Management programmes also include the use of appropriate cultivation practices when the disease is already established. Finally, for the effective control of the disease, appropriate detection and characterization methods are needed for use in symptomatic or asymptomatic samples as a first approach for pathogen exclusion. USEFUL WEBSITES: https://gd.eppo.int/taxon/XANTPR; http://www.cost.eu/COST_Actions/ca/CA16107; http://www.xanthomonas.org.

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Section: Bacterial Spot Of Stone Fruits and Almond: Disease Managementmentioning

confidence: 99%

“…The disease is more frequent and severe in areas with a temperate and humid climate. Warm temperatures (19-28 8C) and high humidity favour the multiplication of the bacterium (Morales et al, 2017).…”

Section: Distribution and Economic Impact Of Bacterial Spot Of Stone mentioning

confidence: 99%

Xanthomonas arboricola pv. pruni, causal agent of bacterial spot of stone fruits and almond: its genomic and phenotypic characteristics in the X. arboricola species context

Garita-Cambronero

Palacio-Bielsa

Cubero

2018

Molecular Plant Pathology

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“…Six different replicas of bioluminescence monitoring experiments were reported in [ 30 ]. Although the experimental procedure described in §2.2 was thoroughly replicated in the six experiments, it is well known that the resulting growth curves can, in general, display some biologic variability, due, for example, to the temperature history and the physiological state of initial cells [ 57 ]. As a result, the detected bioluminescent signals are also different for the six replicas ( figure 1 ).…”

Section: A Simplified Model For Bioluminescence Onset and Quenchingmentioning

confidence: 99%

“…As a result, the detected bioluminescent signals are also different for the six replicas ( figure 1 ). In particular, the two parameters known to be mostly affected by biological variability are the lag time λ [ 57 , 58 ] and the carrying capacity (or growth yield) K [ 58 ]. The latter parameter is related to the asymptote

0

reached by the number of bacteria at saturation for

.…”

Section: A Simplified Model For Bioluminescence Onset and Quenchingmentioning

confidence: 99%

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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“…arboricola pv. pruni growth as a function of temperature was developed [ 22 ], which can be used to estimate the epiphytic inoculum potential of the pathogen. The study revealed that X .…”

Section: Introductionmentioning

confidence: 99%

Effects of leaf wetness duration and temperature on infection of Prunus by Xanthomonas arboricola pv. pruni

et al. 2018

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Xanthomonas arboricola pv. pruni is the causal agent of bacterial spot disease of stone fruits and almond. The bacterium is distributed throughout the major stone-fruit-producing areas of the World and is considered a quarantine organism in the European Union according to the Council Directive 2000/29/EC, and by the European and Mediterranean Plant Protection Organization. The effect of leaf wetness duration and temperature on infection of Prunus by X. arboricola pv. pruni was determined in controlled environment experiments. Potted plants of the peach-almond hybrid GF-677 were inoculated with bacterial suspensions and exposed to combinations of six leaf wetness durations (from 0 to 24 h) and seven fixed temperatures (from 5 to 35°C) during the infection period. Then, plants were transferred to a biosafety greenhouse, removed from bags, and incubated at optimal conditions for disease development. Although leaf wetness was required for infection of Prunus by X. arboricola pv. pruni, temperature had a greater effect than leaf wetness duration on disease severity. The combined effect of wetness duration and temperature on disease severity was quantified using a modification of the Weibull equation proposed by Duthie. The reduced-form of Duthie’s model obtained by nonlinear regression analysis fitted well to data (R = 0.87 and R2adj = 0.85), and all parameters were significantly different from 0. The estimated optimal temperature for infection by X. arboricola pv. pruni was 28.9°C. Wetness periods longer than 10 h at temperatures close to 20°C, or 5 h at temperatures between 25 and 35°C were necessary to cause high disease severity. The predictive capacity of the model was evaluated using an additional set of data obtained from new wetness duration-temperature combinations. In 92% of the events the observed severity agreed with the predicted level of infection risk. The risk chart derived from the reduced form of Duthie’s model can be used to estimate the potential risk for infection of Prunus by X. arboricola pv. pruni based on observed or forecasted temperature and wetness duration.

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A model for predicting Xanthomonas arboricola pv. pruni growth as a function of temperature

Cited by 15 publications

References 47 publications

Xanthomonas arboricola pv. pruni, causal agent of bacterial spot of stone fruits and almond: its genomic and phenotypic characteristics in the X. arboricola species context

Xanthomonas arboricola pv. pruni, causal agent of bacterial spot of stone fruits and almond: its genomic and phenotypic characteristics in the X. arboricola species context

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

Effects of leaf wetness duration and temperature on infection of Prunus by Xanthomonas arboricola pv. pruni

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