The DOI matches its Crossref record.
Biotechnological basis of microbial consortia for the removal of pesticides from the environment
Abstract
The application of microbial strains as axenic cultures has frequently been employed in a diverse range of sectors. In the natural environment, microbes exist as multispecies and perform better than monocultures. Cell signaling and communication pathways play a key role in engineering microbial consortia, because in a consortium, the microorganisms communicate via diffusible signal molecules. Mixed microbial cultures have gained little attention due to the lack of proper knowledge about their interactions with each other. Some ideas have been proposed to deal with and study various microbes when they live together as a community, for biotechnological application purposes. In natural environments, microbes can possess unique metabolic features. Therefore, microbial consortia divide the metabolic burden among strains in the group and robustly perform pesticide degradation. Synthetic microbial consortia can perform the desired functions at naturally contaminated sites. Therefore, in this article, special attention is paid to the microbial consortia and their function in the natural environment. This review comprehensively discusses the recent applications of microbial consortia in pesticide degradation and environmental bioremediation. Moreover, the future directions of synthetic consortia have been explored. The review also explores the future perspectives and new platforms for these approaches, besides highlighting the practical understanding of the scientific information behi…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Functional differentiation and metabolite exchange within microbial consortia enable complex metabolic tasks, yet the underlying mechanisms governing microbial interactions require further investigation for effective industrial applications.
“The functional differentiation and metabolite exchange within these consortia enable complex metabolic tasks, yet the underlying mechanisms governing microbial interactions require further investigation for effective industrial applications [37].”
From Harnessing bacterial consortia for effective bioremediation: targeted removal of heavy metals, hydrocarbons, and persistent pollutants (2025) · cites this paper as [37]
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 175
- 10.3389/fmicb.2019.01754 · DOI
- Bhatt P., 2019, Smart bioremediation technologies: microbial enzymes
- 10.3390/molecules25030738 · DOI
- 10.1016/j.envres.2020.109138 · DOI
- 10.1016/j.chemosphere.2020.127419 · DOI · Paper page
- 10.1186/s12940-020-0571-6 · DOI
- 10.1002/ps.5577 · DOI
- Qian X, 2019, Biotechnol Adv, 18, 107500
- 10.3389/fmicb.2012.00203 · DOI
- 10.3389/fmicb.2018.02594 · DOI
- 10.1016/j.ece.2012.02.002 · DOI
- 10.1080/07388551.2018.1471445 · DOI
- 10.1126/science.1070633 · DOI
- 10.1016/B978-0-12-818732-6.00025-3 · DOI
- 10.1016/j.chemosphere.2019.07.004 · DOI
- 10.1016/j.ecoenv.2019.110143 · DOI
- 10.1080/03067319.2020.1715375 · DOI
- 10.1016/j.jenvman.2016.12.020 · DOI
- 10.1007/s11356-017-0048-5 · DOI
- 10.1016/j.ecoenv.2020.110734 · DOI
- Sun X, 2020, J Environ Sci Health Part B, 21, 1
- 10.1007/s00284-020-02115-y · DOI
- 10.1038/ismej.2016.22 · DOI
- 10.1128/mBio.00036-12 · DOI
- 10.1073/pnas.1412673111 · DOI
- 10.1111/1462-2920.13028 · DOI
- 10.1038/s41598-019-54978-2 · DOI
- 10.1155/2013/392573 · DOI
- 10.1023/B:WIBI.0000040405.56291.52 · DOI
- 10.1016/j.jtice.2014.06.014 · DOI
- 10.1016/j.ecoenv.2018.04.063 · DOI
- 10.1016/j.biortech.2019.122720 · DOI
- 10.1016/j.jenvman.2019.06.018 · DOI
- 10.1128/AEM.57.3.744-750.1991 · DOI
- 10.1128/AEM.00393-10 · DOI
- 10.1128/AEM.03730-12 · DOI
- 10.1128/AEM.01684-17 · DOI
- 10.1016/j.envpol.2020.113951 · DOI
- 10.1016/S0032-9592(02)00066-3 · DOI
- Bilgin A, 2019, Waste Biomass Valori, 1, 1, 10.26480/jwbm.02.2019.01.04 · DOI
- 10.3389/fmicb.2019.00409 · DOI
- 10.1186/s12934-019-1083-3 · DOI
- Netzer F, 2018, Handbook of hydrocarbon and lipid microbiology, 1
- 10.1038/nbt.3095 · DOI
- 10.1002/jcp.25428 · DOI
- 10.3390/microorganisms8040593 · DOI
- 10.1016/j.tibtech.2018.11.002 · DOI
- 10.1016/j.mib.2016.03.010 · DOI
- Revitt D, Ellis JB, Llewellyn NR. Herbicide behavior in the runoff from an urban catchment. In: 8th International Conference on Urban Storm Drainage, Sydney, 1999. p. 96–104.
- Lushchak VI, 2018, Excli J, 17, 1101
- 10.1016/B978-0-444-52272-6.00592-4 · DOI
- Katagi T., 2020, Rev Environ Contam Toxicol, 204, 1
- 10.1080/10408440802116496 · DOI
- Giddings JM, 2005, A probabilistic aquatic ecological risk assessment of atrazine in North American surface waters
- 10.1016/0147-6513(88)90058-9 · DOI
- 10.1016/S1382-6689(02)00126-6 · DOI
- Landrum PF, 1998, Lipids in freshwater ecosystems, 203
- 10.1016/B978-0-12-374367-1.00038-0 · DOI
- Hodgson E, 2001, Introduction to biochemical toxicology, 67
- 10.1002/chir.22989 · DOI
- 10.1016/j.trac.2019.115719 · DOI
- 10.1016/j.jpba.2017.08.011 · DOI
- 10.1016/j.trac.2018.11.010 · DOI
- 10.1016/B978-0-12-382032-7.10039-6 · DOI
- 10.1038/nchembio.197 · DOI
- 10.1007/s11274-016-2137-x · DOI
- 10.1007/978-3-319-05738-5_8 · DOI
- 10.1007/s13205-016-0541-4 · DOI
- 10.1016/j.biortech.2020.123074 · DOI
- 10.1111/j.1574-6941.2006.00103.x · DOI
- 10.1128/AEM.60.2.434-446.1994 · DOI
- 10.1016/j.chemosphere.2016.10.084 · DOI
- 10.1186/1735-2746-10-21 · DOI
- 10.30638/eemj.2018.052 · DOI
- 10.1111/jam.12627 · DOI
- 10.1038/s41598-017-15122-0 · DOI
- 10.1038/nature06279 · DOI
- 10.1080/09603123.2018.1487043 · DOI
- 10.1007/s00284-019-01774-w · DOI
- 10.1016/j.scitotenv.2020.140968 · DOI
- 10.1016/j.biortech.2020.123845 · DOI
- 10.3390/ijerph16162873 · DOI
- 10.1016/j.jtbi.2008.10.024 · DOI
- 10.1080/10889868.2019.1569586 · DOI
- Balakrishnan SL, 2019, JPAM, 13, 393
- 10.1016/j.jhazmat.2007.03.053 · DOI
- 10.1080/15320383.2016.1190684 · DOI
- 10.1016/j.ibiod.2011.06.001 · DOI
- 10.1039/C3RA44892D · DOI
- 10.1038/s41598-019-48904-9 · DOI
- 10.1007/s11274-011-0879-z · DOI
- 10.1007/s11356-014-3354-1 · DOI
- 10.1016/j.pestbp.2019.02.014 · DOI
- 10.1007/s10532-019-09873-y · DOI
- 10.1021/acs.jafc.8b03703 · DOI
- 10.3389/fmicb.2020.01429 · DOI
- Teerakun M, 2020, Int J Geomat, 68, 73
- 10.1007/s00253-017-8128-5 · DOI
- 10.1007/s10532-017-9803-z · DOI
- 10.1016/j.heliyon.2020.e04027 · DOI
- 10.1016/j.pestbp.2019.04.015 · DOI
- 10.1016/j.jtice.2011.11.002 · DOI
- Mutua GK, 2016, Kenya Toxicol Environ Chem, 98, 800
- 10.1016/j.jhazmat.2019.121493 · DOI
- 10.1016/j.jhazmat.2019.121834 · DOI
- dos Anjos CS, 2020, J Braz Chem Soc, 31, 1654
- 10.1016/j.biteb.2020.100415 · DOI
- 10.1016/j.ibiod.2016.06.018 · DOI
- 10.1016/j.jhazmat.2017.12.065 · DOI
- 10.1016/j.jenvman.2019.05.069 · DOI
- 10.1016/j.jece.2018.03.030 · DOI
- 10.3389/fmicb.2020.00522 · DOI · Paper page
- 10.1007/s13762-014-0675-z · DOI
- 10.1016/j.chemosphere.2017.01.044 · DOI
- Raju SM, 2017, Biotechnol Commun, 10, 697
- 10.1016/j.ibiod.2015.02.022 · DOI
- 10.1016/j.ecoenv.2016.07.020 · DOI
- 10.1016/j.chemosphere.2017.10.172 · DOI
- 10.1016/j.procbio.2018.12.031 · DOI
- 10.1038/nrmicro2832 · DOI
- 10.1038/nrmicro2939 · DOI
- 10.1016/j.ymben.2016.12.008 · DOI
- 10.1186/s12934-015-0219-3 · DOI
- 10.1038/ncomms5750 · DOI
- 10.1007/s13205-016-0372-3 · DOI
- 10.1016/j.copbio.2015.08.008 · DOI
- 10.1016/j.tibtech.2008.05.004 · DOI
- 10.1073/pnas.1810949115 · DOI · Paper page
- 10.3389/fmicb.2019.02867 · DOI
- 10.1078/0944-5013-00167 · DOI
- 10.1016/j.mec.2019.e00095 · DOI
- 10.1007/s00248-002-1046-8 · DOI
- 10.1890/0012-9658(2006)87[2851:TIOMAA]2.0.CO;2 · DOI
- 10.1016/S0958-1669(03)00065-X · DOI
- 10.1007/s00248-007-9357-4 · DOI
- 10.1038/msb.2010.66 · DOI
- 10.1038/s41598-018-31082-5 · DOI
- 10.1007/s002530100624 · DOI
- 10.1016/j.peptides.2003.11.026 · DOI
- 10.1016/S0196-9781(01)00493-4 · DOI
- 10.1016/j.jhazmat.2018.04.067 · DOI
- 10.1073/pnas.0704256104 · DOI
- Hawley AK, 2015, Proc Natl Acad Sci USA, 112, 15450, 10.1073/pnas.1506034112 · DOI · Paper page
- 10.3389/fmicb.2013.00005 · DOI
- 10.1016/j.ymben.2019.08.007 · DOI
- Bhatt P, Gangola S, Bhandari G, et al. New insights into the degradation of synthetic pollutants in contaminated environments. Chemosphere. 2021;268:128827. · DOI
- 10.3389/fmicb.2019.00087 · DOI
- Bhatt P, Zhou X, Huang Y, et al. Characterization of the role of esterases in the biodegradation of organophosphate, carbamate, and pyrethroid pesticides. J Hazard Mater. 2021;411:125026 · DOI
- 10.1073/pnas.0610575104 · DOI
- 10.1128/JB.00345-12 · DOI
- 10.1016/j.chemosphere.2019.125507 · DOI
- 10.5897/AJMR2014.6842 · DOI
- 10.1016/j.bcab.2017.06.009 · DOI
- 10.1016/j.bcab.2018.09.001 · DOI
- 10.1504/IJEWM.2017.090050 · DOI
- 10.1186/s40643-018-0213-9 · DOI
- 10.1111/j.1470-8744.1998.tb01377.x · DOI
- Rogers SL, McClure N. In: Head IM, Singleton I, Milner MG, editors. Bioremediation: a criticial review. Wymondham (UK): Horizon Scientific Press; 2003. p. 27–59.
- 10.1016/0922-338X(96)81465-6 · DOI
- 10.1007/s10529-013-1195-5 · DOI
- 10.1007/978-981-13-0347-0_10 · DOI
- 10.1002/mbo3.559 · DOI
- 10.1038/nbt1201-1111 · DOI
- 10.1038/ismej.2016.26 · DOI
- 10.1016/j.copbio.2012.01.015 · DOI
- 10.1016/B978-0-12-818307-6.00018-4 · DOI
- 10.1111/1462-2920.14378 · DOI
- 10.3389/fmicb.2019.01778 · DOI · Paper page
- 10.1038/s41589-018-0091-7 · DOI · Paper page
- 10.1016/B978-0-12-815870-8.00001-2 · DOI
- 10.1021/jf9038259 · DOI
- 10.3389/fmicb.2016.02025 · DOI
- 10.3389/fmicb.2020.02045 · DOI
- 10.1128/MMBR.00029-09 · DOI
- Huang Y, Zhang W, Pang S, et al. Insights into the microbial degradation and catalytic mechanisms of chlorpyrifos. Environ Res. 2021;194:110660 · DOI
Cited by
Sorted by citations
Qattan, S. Y. A. (2025) · Environmental Sciences Europe · doi:10.1186/s12302-025-01103-y · Cited by 109
Metadata
- Authors
- Bhatt, P., Bhatt, K., Sharma, A., Zhang, W., Mishra, S., & Chen, S.
- Affiliations
- South China Agricultural University (CN)
- Gurukul Kangri Vishwavidyalaya (IN)
- Govind Ballabh Pant University of Agriculture and Technology (IN)
- Corresponding author
- Chen, Shaohua
- Venue
- Critical Reviews in Biotechnology
- Publisher
- Informa UK Limited
- Published
- 2021-03-17
- Volume
- 41
- Issue
- 3
- Pages
- 317-338
- ISSN
- 0738-8551 (ISSN-L)
- 1549-7801
- OpenAlex
- W3138963009
- Cited by
- 248
- References
- 0
- Citations by year
- 2026: 34 · 2025: 46 · 2024: 50 · 2023: 36 · 2022: 43 · 2021: 38
- FWCI
- 2.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Critical Reviews in Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Key-Area Research and Development Program of Guangdong Province (2018B020206001)
- China Postdoctoral Science Foundation (2020M672655)
- National Natural Science Foundation of China (31401763)
- Guangdong Special Branch Plan for Young Talent with Scientific and Technological Innovation (2017TQ04N026)
- Topics
- Physical Sciences › Environmental Science › Pollution › Pesticide and Herbicide Environmental Studies
- Physical Sciences › Environmental Science › Pollution › Microbial bioremediation and biosurfactants
- Physical Sciences › Environmental Science › Environmental Chemistry › Environmental Chemistry and Analysis
- Keywords
- microbial consortia, pesticide degradation, bioremediation, quorum sensing, signal transduction, mixed culture, synthetic microbial consortia, microbial interactions, contaminated sites
- MeSH terms
- Biodegradation, Environmental, Biotechnology, Pesticides, Synthetic Biology, Microbial Consortia
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review