Modelling carbofuran biotransformation by: Novosphingobium sp. KN65.2 in the presence of coincidental carbon and indigenous microbes

Li Liu, Damian E. Helbling, Hans-Peter E. Kohler, Barth F. Smets*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

The influence that coincidental carbon substrates (i.e., assimilable organic carbon, AOC) and indigenous microbial communities has on pesticide biotransformation by degrader strains in aquatic environments is poorly understood. We conducted batch experiments to investigate carbofuran biotransformation by Novosphingobium sp. KN65.2 using four environmentally derived water samples with varying amounts and types of AOC and indigenous microbial communities. We designed experimental scenarios to explore the influence of AOC and indigenous microbial communities on the growth of strain KN65.2 and the biotransformation of carbofuran. Relevant kinetic parameters were estimated from simpler experiments, and used to predict the growth of strain KN65.2 and the biotransformation of carbofuran in more complex experiments with an additive biokinetic model. We found that an additive biokinetic model adequately predicts the growth of strain KN65.2 and the rate of carbofuran biotransformation in natural waters that support the growth of strain KN65.2. However, our model over-predicts the growth of strain KN65.2 and the rate of carbofuran biotransformation in low-AOC environments. Overall, our results define the scope within which additive biokinetic models can be used to predict pesticide biotransformation in the presence of coincidental carbon substrates and indigenous microbial communities.
Original languageEnglish
JournalEnvironmental Science: Water Research & Technology
Volume5
Issue number4
Pages (from-to)798-807
ISSN2053-1400
DOIs
Publication statusPublished - 2019

Keywords

  • Biology
  • Marine Science and Oceanography
  • Biochemistry
  • Chemical Agents and Basic Industrial Chemicals
  • Organic Compounds
  • Additives
  • Aquatic organisms
  • Microorganisms
  • Organic carbon
  • Pesticides
  • Strain rate
  • Aquatic environments
  • Assimilable organic carbon
  • Batch experiments
  • Biokinetic models
  • Carbon substrates
  • Indigenous microbes
  • Microbial communities
  • Natural waters
  • Bioconversion

Cite this

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title = "Modelling carbofuran biotransformation by: Novosphingobium sp. KN65.2 in the presence of coincidental carbon and indigenous microbes",
abstract = "The influence that coincidental carbon substrates (i.e., assimilable organic carbon, AOC) and indigenous microbial communities has on pesticide biotransformation by degrader strains in aquatic environments is poorly understood. We conducted batch experiments to investigate carbofuran biotransformation by Novosphingobium sp. KN65.2 using four environmentally derived water samples with varying amounts and types of AOC and indigenous microbial communities. We designed experimental scenarios to explore the influence of AOC and indigenous microbial communities on the growth of strain KN65.2 and the biotransformation of carbofuran. Relevant kinetic parameters were estimated from simpler experiments, and used to predict the growth of strain KN65.2 and the biotransformation of carbofuran in more complex experiments with an additive biokinetic model. We found that an additive biokinetic model adequately predicts the growth of strain KN65.2 and the rate of carbofuran biotransformation in natural waters that support the growth of strain KN65.2. However, our model over-predicts the growth of strain KN65.2 and the rate of carbofuran biotransformation in low-AOC environments. Overall, our results define the scope within which additive biokinetic models can be used to predict pesticide biotransformation in the presence of coincidental carbon substrates and indigenous microbial communities.",
keywords = "Biology, Marine Science and Oceanography, Biochemistry, Chemical Agents and Basic Industrial Chemicals, Organic Compounds, Additives, Aquatic organisms, Microorganisms, Organic carbon, Pesticides, Strain rate, Aquatic environments, Assimilable organic carbon, Batch experiments, Biokinetic models, Carbon substrates, Indigenous microbes, Microbial communities, Natural waters, Bioconversion",
author = "Li Liu and Helbling, {Damian E.} and Kohler, {Hans-Peter E.} and Smets, {Barth F.}",
year = "2019",
doi = "10.1039/c8ew00929e",
language = "English",
volume = "5",
pages = "798--807",
journal = "Environmental Science: Water Research & Technology",
issn = "2053-1400",
publisher = "Royal Society of Chemistry",
number = "4",

}

Modelling carbofuran biotransformation by: Novosphingobium sp. KN65.2 in the presence of coincidental carbon and indigenous microbes. / Liu, Li; Helbling, Damian E.; Kohler, Hans-Peter E.; Smets, Barth F.

In: Environmental Science: Water Research & Technology, Vol. 5, No. 4, 2019, p. 798-807.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Modelling carbofuran biotransformation by: Novosphingobium sp. KN65.2 in the presence of coincidental carbon and indigenous microbes

AU - Liu, Li

AU - Helbling, Damian E.

AU - Kohler, Hans-Peter E.

AU - Smets, Barth F.

PY - 2019

Y1 - 2019

N2 - The influence that coincidental carbon substrates (i.e., assimilable organic carbon, AOC) and indigenous microbial communities has on pesticide biotransformation by degrader strains in aquatic environments is poorly understood. We conducted batch experiments to investigate carbofuran biotransformation by Novosphingobium sp. KN65.2 using four environmentally derived water samples with varying amounts and types of AOC and indigenous microbial communities. We designed experimental scenarios to explore the influence of AOC and indigenous microbial communities on the growth of strain KN65.2 and the biotransformation of carbofuran. Relevant kinetic parameters were estimated from simpler experiments, and used to predict the growth of strain KN65.2 and the biotransformation of carbofuran in more complex experiments with an additive biokinetic model. We found that an additive biokinetic model adequately predicts the growth of strain KN65.2 and the rate of carbofuran biotransformation in natural waters that support the growth of strain KN65.2. However, our model over-predicts the growth of strain KN65.2 and the rate of carbofuran biotransformation in low-AOC environments. Overall, our results define the scope within which additive biokinetic models can be used to predict pesticide biotransformation in the presence of coincidental carbon substrates and indigenous microbial communities.

AB - The influence that coincidental carbon substrates (i.e., assimilable organic carbon, AOC) and indigenous microbial communities has on pesticide biotransformation by degrader strains in aquatic environments is poorly understood. We conducted batch experiments to investigate carbofuran biotransformation by Novosphingobium sp. KN65.2 using four environmentally derived water samples with varying amounts and types of AOC and indigenous microbial communities. We designed experimental scenarios to explore the influence of AOC and indigenous microbial communities on the growth of strain KN65.2 and the biotransformation of carbofuran. Relevant kinetic parameters were estimated from simpler experiments, and used to predict the growth of strain KN65.2 and the biotransformation of carbofuran in more complex experiments with an additive biokinetic model. We found that an additive biokinetic model adequately predicts the growth of strain KN65.2 and the rate of carbofuran biotransformation in natural waters that support the growth of strain KN65.2. However, our model over-predicts the growth of strain KN65.2 and the rate of carbofuran biotransformation in low-AOC environments. Overall, our results define the scope within which additive biokinetic models can be used to predict pesticide biotransformation in the presence of coincidental carbon substrates and indigenous microbial communities.

KW - Biology

KW - Marine Science and Oceanography

KW - Biochemistry

KW - Chemical Agents and Basic Industrial Chemicals

KW - Organic Compounds

KW - Additives

KW - Aquatic organisms

KW - Microorganisms

KW - Organic carbon

KW - Pesticides

KW - Strain rate

KW - Aquatic environments

KW - Assimilable organic carbon

KW - Batch experiments

KW - Biokinetic models

KW - Carbon substrates

KW - Indigenous microbes

KW - Microbial communities

KW - Natural waters

KW - Bioconversion

U2 - 10.1039/c8ew00929e

DO - 10.1039/c8ew00929e

M3 - Journal article

VL - 5

SP - 798

EP - 807

JO - Environmental Science: Water Research & Technology

JF - Environmental Science: Water Research & Technology

SN - 2053-1400

IS - 4

ER -