Stoichiometric ratios for biotics and xenobiotics capture effective metabolic coupling to re(de)fine biodegradation

被引:4
作者
Nolte, Tom M. [1 ]
Peijnenburg, Willie J. G. M. [2 ,5 ]
Rios-Miguel, Ana B. [3 ]
Zhang, Ya-nan [4 ]
Hendriks, A. Jan [1 ]
机构
[1] Radboud Univ Nijmegen, Inst Water & Wetland Res, Dept Environm Sci, NL-6500 GL Nijmegen, Netherlands
[2] Leiden Univ, Inst Environm Sci CML, POB 9518, NL-2300 RA Leiden, Netherlands
[3] Radboud Univ Nijmegen, Inst Water & Wetland Res, Dept Microbiol, NL-6500 GL Nijmegen, Netherlands
[4] Northeast Normal Univ, Sch Environm, 2555 Jingyue St, Changchun 130117, Jilin, Peoples R China
[5] Natl Inst Publ Hlth & Environm, POB 1, NL-3720 BA Bilthoven, Netherlands
基金
荷兰研究理事会;
关键词
Biodegradation; Wastewater; Surface water; Organic pollutants; Stoichiometry; Metabolism; WASTE-WATER TREATMENT; MICROBIAL COMMUNITY; ORGANIC-COMPOUNDS; YIELD PREDICTION; CELL-VOLUME; DEGRADATION; EVOLUTION; CHEMICALS; KINETICS; COMPLEX;
D O I
10.1016/j.watres.2022.118333
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Preserving human and environmental health requires anthropogenic pollutants to be biologically degradable. Depending on concentration, both nutrients and pollutants induce and activate metabolic capacity in the endemic bacterial consortium, which in turn aids their degradation. Knowledge on such 'acclimation' is rarely implemented in risk assessment cost-effectively. As a result, an accurate description of the mechanisms and kinetics of biodegradation remains problematic.& nbsp;In this study, we defined a yield 'effectivity', comprising the effectiveness at which a pollutant (substrate) enhances its own degradation by inducing (biomass) cofactors involved therein. Our architecture for calculation represents the interplay between concentration and metabolism via both stoichiometric and thermodynamic concepts. The calculus for yield 'effectivity' is biochemically intuitive, implicitly embeds co-metabolism and distinguishes 'endogenic' from 'exogenic' substances' reflecting various phenomena in biodegradation and biotransformation studies.& nbsp;We combined data on half-lives of pollutants/nutrients in wastewater and surface water with transition-state rate theory to obtain also experimental values for effective yields. These quantify the state of acclimation: the portion of biodegradation kinetics attributable to (contributed by) 'natural metabolism', in view of similarity to natural substances. Calculated and experimental values showed statistically significant correspondence. Particularly, carbohydrate metabolism and nucleic acid metabolism appeared relevant for acclimation (R2 = 0.11-0.42), affecting rates up to 104.9(& PLUSMN;0.7) times: under steady-state acclimation, a compound stoichiometrically identical to carbohydrates or nucleic acids, is 103.2 to 104.9 times faster aerobically degraded than a compound marginally similar.& nbsp;Our new method, simulating (contribution by) the state of acclimation, supplements existing structure biodegradation and kinetic models for predicting biodegradation in wastewater and surface water. The accuracy of prediction may increase when characterizing nutrients/co-metabolites in terms of, e.g., elemental analysis. We discuss strengths and limitations of our approach by comparison to empirical and mechanism-based methods.
引用
收藏
页数:15
相关论文
共 165 条
[1]   Relating Metatranscriptomic Profiles to the Micropollutant Biotransformation Potential of Complex Microbial Communities [J].
Achermann, Stefan ;
Mansfeldt, Cresten B. ;
Mueller, Marcel ;
Johnson, David R. ;
Fenner, Kathrin .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2020, 54 (01) :235-244
[2]   Prediction of Microbial Growth Rate versus Biomass Yield by a Metabolic Network with Kinetic Parameters [J].
Adadi, Roi ;
Volkmer, Benjamin ;
Milo, Ron ;
Heinemann, Matthias ;
Shlomi, Tomer .
PLOS COMPUTATIONAL BIOLOGY, 2012, 8 (07)
[3]   Biodegradation of chemicals in a standardized test and in environmental conditions [J].
Ahtiainen, J ;
Aalto, M ;
Pessala, P .
CHEMOSPHERE, 2003, 51 (06) :529-537
[4]   Metagenomic Approaches for Understanding New Concepts in Microbial Science [J].
Alves, Luana de Fatima ;
Westmann, Caua Antunes ;
Lovate, Gabriel Lencioni ;
Viana de Siqueira, Guilherme Marcelino ;
Borelli, Tiago Cabral ;
Guazzaroni, Maria-Eugenia .
INTERNATIONAL JOURNAL OF GENOMICS, 2018, 2018
[5]   All natural [J].
不详 .
NATURE CHEMICAL BIOLOGY, 2007, 3 (07) :351-351
[6]  
[Anonymous], OFFICIAL J
[7]   EXPERIMENTAL SIMULATION OF BIODEGRADATION IN RIVERS - OXYGEN, ORGANIC-MATTER AND BIOMASS CONCENTRATION CHANGES [J].
APOTEKER, A ;
THEVENOT, DR .
WATER RESEARCH, 1983, 17 (10) :1267-1274
[8]   The Lazy Life of Lipid-Linked Oligosaccharides in All Life Domains [J].
Arantes, Pablo R. ;
Pedebos, Conrado ;
Poleto, Marcelo D. ;
Pol-Fachin, Laercio ;
Verli, Hugo .
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2020, 60 (02) :631-643
[9]   Kinetic asymmetry allows macromolecular catalysts to drive an information ratchet [J].
Astumian, R. Dean .
NATURE COMMUNICATIONS, 2019, 10 (1)
[10]  
Balcom Ian N, 2016, F1000Res, V5, P1881, DOI 10.12688/f1000research.9157.1