Kinetic modeling of Shewanella baltica KB30 growth on different substrates through respirometry

Leyva‐Díaz, Juan Carlos; Poyatos, J. M.; Barghini, Paolo; Gorrasi, Susanna; Fenice, Massimiliano

doi:10.1186/s12934-017-0805-7

Cited by 16 publications

(7 citation statements)

References 28 publications

(46 reference statements)

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“…alvei is an ideal resistant-isolate candidate in any system. These traits can also be found in species of Shewanella [ 68 , 69 ], Serratia [ 70 , 71 ], Carnobacterium [ 72 ], Brochotrhix [ 73 , 74 ], and Kluyvera [ 75 , 76 ]. All of these bacteria can colonize multiple environments, and the ability to acquire resistance in any given environment represents a significant risk for human health.…”

Section: Discussionmentioning

confidence: 99%

Extended antibiotic treatment in salmon farms select multiresistant gut bacteria with a high prevalence of antibiotic resistance genes

et al. 2018

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The high use of antibiotics for the treatment of bacterial diseases is one of the main problems in the mass production of animal protein. Salmon farming in Chile is a clear example of the above statement, where more than 5,500 tonnes of antibiotics have been used over the last 10 years. This has caused a great impact both at the production level and on the environment; however, there are still few works in relation to it. In order to demonstrate the impact of the high use of antibiotics on fish gut microbiota, we have selected four salmon farms presenting a similar amount of fish of the Atlantic salmon species (Salmo salar), ranging from 4,500 to 6,000 tonnes. All of these farms used treatments with high doses of antibiotics. Thus, 15 healthy fish were selected and euthanised in order to isolate the bacteria resistant to the antibiotics oxytetracycline and florfenicol from the gut microbiota. In total, 47 bacterial isolates resistant to florfenicol and 44 resistant to oxytetracycline were isolated, among which isolates with Minimum Inhibitory Concentrations (MIC) exceeding 2048 μg/mL for florfenicol and 1024 μg/mL for oxytetracycline were found. In addition, another six different antibiotics were tested in order to demonstrate the multiresistance phenomenon. In this regard, six isolates of 91 showed elevated resistance values for the eight tested antibiotics, including florfenicol and oxytetracycline, were found. These bacteria were called “super-resistant” bacteria. This phenotypic resistance was verified at a genotypic level since most isolates showed antibiotic resistance genes (ARGs) to florfenicol and oxytetracycline. Specifically, 77% of antibiotic resistant bacteria showed at least one gene resistant to florfenicol and 89% showed at least one gene resistant to oxytetracycline. In the present study, it was demonstrated that the high use of the antibiotics florfenicol and oxytetracycline has, as a consequence, the selection of multiresistant bacteria in the gut microbiota of farmed fish of the Salmo salar species at the seawater stage. Also, the phenotypic resistance of these bacteria can be correlated with the presence of antibiotic resistance genes.

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Section: Discussionmentioning

confidence: 99%

Extended antibiotic treatment in salmon farms select multiresistant gut bacteria with a high prevalence of antibiotic resistance genes

et al. 2018

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“…Since the yield coefficient can be calculated, the following relation can give an estimation of the growth rate for the biomass:

r_{X} = μ X = - Y r_{italicsu}

where X is the concentration of active biomass in the sample. Thus, solving

μ = - \frac{Y r_{italicsu}}{X}

following the Monod growth model, the growth rate is related to a maximum growth rate μ max and a saturation constant K S :

μ = - \frac{Y r_{italicsu}}{X} = μ_{italicmax} \frac{S}{K_{S} + S}

If we were to linearize Eqn (5):

\frac{1}{μ} = \frac{K_{S}}{μ_{\max}} \frac{1}{S} + \frac{1}{μ_{\max}}

…”

Section: Methodsmentioning

confidence: 99%

“…following the Monod growth model, 29 the growth rate is related to a maximum growth rate max and a saturation constant K S :…”

Section: Kinetic Characterization Of Biomassmentioning

confidence: 99%

Effect of variable salinity wastewater on performance and kinetics of membrane‐based bioreactors

Rodríguez-Sánchez

Leyva‐Díaz

Muñoz-Palazon

et al. 2019

J of Chemical Tech & Biotech

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BACKGROUND A membrane bioreactor and two hybrid moving bed biofilm reactor‐membrane bioreactor systems were operated in parallel for the treatment of variable‐salinity wastewater. Influent salinity was changed according to tidal‐like cycles: 6 h of maximum salinity (4.5 or 8.5 mS cm−1) followed by 6 h of regular wastewater salinity (around 1 mS cm−1). RESULTS For the two salinity scenarios, the bioprocesses operated under different conditions of mixed liquor total suspended solids (2500 and 3500 mg L−1), and hydraulic retention time (6, 9.5 and 12 h). The results showed that the bioprocesses had better performance under 4.5 mS cm−1 than under 8.5 mS cm−1 in terms of removal of biological oxygen demand at day 5 (BOD5) (+6.07%), ammonium cation (NH4+) (+41.29%) and total nitrogen (+37.64%), the heterotrophic and autotrophic yield coefficients (+0.02777 mgVSS mgCOD−1 and +0.13990 mgVSS mgN−1), and the autotrophic rate of substrate utilization (+3.39559 mgN L−1 h−1). CONCLUSIONS The results obtained would become of help for the modeling of membrane‐based systems treating variable saline wastewater. © 2019 Society of Chemical Industry

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“…However, a fermentative metabolism could explain the selection of Shewanella over Geobacter in our enrichments and in all incubation conditions, because this genus can grow either using fermentation or Fe(III) reduction (Bowman, 2015). Moreover, Leyva-Díaz et al (2017) showed that peptone was a better substrate for the growth of Shewanella baltica than glucose or acetate. As our medium contained 1.5 g L −1 peptone, this substrate could also favor the growth of bacteria belonging to the Shewanella genus.…”

Section: Geobacter and Shewanella 16s Genes Abundancesmentioning

confidence: 99%

Impact of Fe(III) (Oxyhydr)oxides Mineralogy on Iron Solubilization and Associated Microbial Communities

et al. 2020

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Iron-reducing bacteria (IRB) are strongly involved in Fe cycling in surface environments. Transformation of Fe and associated trace elements is strongly linked to the reactivity of various iron minerals. Mechanisms of Fe (oxyhydr)oxides bio-reduction have been mostly elucidated with pure bacterial strains belonging to Geobacter or Shewanella genera, whereas studies involving mixed IRB populations remain scarce. The present study aimed to evaluate the iron reducing rates of IRB enriched consortia originating from complex environmental samples, when grown in presence of Fe (oxyhydr)oxides of different mineralogy. The abundances of Geobacter and Shewanella were assessed in order to acquire knowledge about the abundance of these two genera in relation to the effects of mixed IRB populations on kinetic control of mineralogical Fe (oxyhydr)oxides reductive dissolution. Laboratory experiments were carried out with two freshly synthetized Fe (oxyhydr)oxides presenting contrasting specific surfaces, and two defined Fe-oxides, i.e., goethite and hematite. Three IRB consortia were enriched from environmental samples from a riverbank subjected to cyclic redox oscillations related to flooding periods (Decize, France): an unsaturated surface soil, a flooded surface soil and an aquatic sediment, with a mixture of organic compounds provided as electron donors. The consortia could all reduce iron-nitrilotriacetate acid (Fe(III)-NTA) in 1–2 days. When grown on Fe (oxyhydr)oxides, Fe solubilization rates decreased as follows: fresh Fe (oxyhydr)oxides > goethite > hematite. Based on a bacterial rrs gene fingerprinting approach (CE-SSCP), bacterial community structure in presence of Fe(III)-minerals was similar to those of the site sample communities from which they originated but differed from that of the Fe(III)-NTA enrichments. Shewanella was more abundant than Geobacter in all cultures. Its abundance was higher in presence of the most efficiently reduced Fe (oxyhydr)oxide than with other Fe(III)-minerals. Geobacter as a proportion of the total community was highest in the presence of the least easily solubilized Fe (oxyhydr)oxides. This study highlights the influence of Fe mineralogy on the abundance of Geobacter and Shewanella in relation to Fe bio-reduction kinetics in presence of a complex mixture of electron donors.

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Kinetic modeling of Shewanella baltica KB30 growth on different substrates through respirometry

Cited by 16 publications

References 28 publications

Extended antibiotic treatment in salmon farms select multiresistant gut bacteria with a high prevalence of antibiotic resistance genes

Extended antibiotic treatment in salmon farms select multiresistant gut bacteria with a high prevalence of antibiotic resistance genes

Effect of variable salinity wastewater on performance and kinetics of membrane‐based bioreactors

Impact of Fe(III) (Oxyhydr)oxides Mineralogy on Iron Solubilization and Associated Microbial Communities

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