Bayesian modeling of two- and three-species bacterial competition in milk

Quinto, E. J.; Marín, J. Miguel; Caro, Irma; Mateo, Javier; Schaffner, Donald W.

doi:10.1016/j.foodres.2017.12.033

Cited by 11 publications

(15 citation statements)

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“…became the dominant bacteria in FW in the presence of the two others micro-organisms. These differences between mono-and co-culture inoculations have already been observed by Hibbing et al (2010) and Quinto et al (2018).…”

Section: Discussionsupporting

confidence: 57%

“….) (Bruce et al, 2017;Quinto et al, 2018;Correia Peres Costa et al, 2019;Kumariya et al, 2019). Nadell et al (2016) have mentioned that P. fluorescens can produces extracellular matrix materials to give them an advantage over competitors.…”

Section: Discussionmentioning

confidence: 99%

“…Two well-known interactions models for two-species were modified to predict the simultaneous growth of the threeinoculated spoilage bacteria in irradiated MP samples: the modified Jameson-effect model and the Lotka Volterra model (Cornu et al, 2011;Correia Peres Costa et al, 2019). As presented by Cornu et al (2011) and Quinto et al (2018), a modified generic primary growth model can be written as Eq. 13.…”

Section: Correlations Between Growth Parametersmentioning

confidence: 99%

“…In the modified Jameson-effect model, the deceleration function can be replaced by Eq. 17 (Mejlholm and Dalgaard, 2007;Cornu et al, 2011;Quinto et al, 2018;Cadavez et al, 2019).…”

Section: Correlations Between Growth Parametersmentioning

confidence: 99%

“…The modified Jameson-effect model makes the hypothesis that there is one single inhibition function for both populations; hence, both populations are similarly inhibited by the same limiting resource, the same waste products, and/or by change in pH (Cornu et al, 2011). Recently, Quinto et al (2018) have developed a threestrain model based on the modified Jameson-effect equation for inoculated spoilage and pathogenic bacteria in a reconstituted sterile skimmed milk. This study considers the effect of two bacteria, Pseudomonas fluorescens and Listeria innocua, on the bacterial growth of Listeria monocytogenes.…”

Section: Introductionmentioning

confidence: 99%

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Modeling the Growth and Interaction Between Brochothrix thermosphacta, Pseudomonas spp., and Leuconostoc gelidum in Minced Pork Samples

et al. 2020

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The aim of this study was to obtain the growth parameters of specific spoilage microorganisms previously isolated in minced pork (MP) samples and to develop a three-spoilage species interaction model under different storage conditions. Naturally contaminated samples were used to validate this approach by considering the effect of the food microbiota. Three groups of bacteria were inoculated on irradiated samples, in mono-and in co-culture experiments (n = 1152): Brochothrix thermosphacta, Leuconostoc gelidum, and Pseudomonas spp. (Pseudomonas fluorescens and Pseudomonas fragi). Samples were stored in two food packaging [food wrap and modified atmosphere packaging (CO 2 30%/O 2 70%)] at three isothermal conditions (4, 8, and 12 • C). Analysis was carried out by using both 16S rRNA gene amplicon sequencing and classical microbiology in order to estimate bacterial counts during the storage period. Growth parameters were obtained by fitting primary (Baranyi) and secondary (square root) models. The food packaging shows the highest impact on bacterial growth rates, which in turn have the strongest influence on the shelf life of food products. Based on these results, a three-spoilage species interaction model was developed by using the modified Jameson-effect model and the Lotka Volterra (prey-predator) model. The modified Jameson-effect model showed slightly better performances, with 40-86% out of the observed counts falling into the Acceptable Simulation Zone (ASZ). It only concerns 14-48% for the prey-predator approach. These results can be explained by the fact that the dynamics of experimental and validation datasets seems to follow a Jameson behavior. On the other hand, the Lotka Volterra model is based on complex interaction factors, which are included in highly variable intervals. More datasets are probably needed to obtained reliable factors, and so better model fittings, especially for three-or more-spoilage species interaction models. Further studies are also needed to better understand the interaction of spoilage bacteria between them and in the presence of natural microbiota.

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Section: Discussionsupporting

confidence: 57%

Section: Discussionmentioning

confidence: 99%

Section: Correlations Between Growth Parametersmentioning

confidence: 99%

“…In the modified Jameson-effect model, the deceleration function can be replaced by Eq. 17 (Mejlholm and Dalgaard, 2007;Cornu et al, 2011;Quinto et al, 2018;Cadavez et al, 2019).…”

Section: Correlations Between Growth Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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