The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Microbial biofilm formation and community structure on low-density polyethylene microparticles in lake water microcosms
Abstract
The occurrence of microplastics (MPs) in the environment has been gaining widespread attention globally. MP-colonizing microorganisms are important links for MPs contamination in various ecosystems, but have not been well understood. To partially address this issue, the present study investigated biofilm formation by microorganisms originating from lake water on low-density polyethylene (LDPE) MPs using a cultivation approach and the surface-related effects on the MP-associated microbial communities using 16S rRNA high-throughput sequencing. With the addition of nonionic surfactants and UV-irradiation pretreatment that changed the surface properties of LDPE MPs, more microorganisms were colonized on LDPE surface. Microbial community analysis indicated that LDPE MPs were primarily colonized by the phyla Proteobacteria, Bacteroidetes and Firmicutes, and the surface roughness and hydrophobicity of MP were important factors shaping the LDPE MP-associated microbial community structure. Half of the top 20 most abundant genera colonizing on LDPE were found to be potential pathogens, e.g., plant pathogens Agrobacterium, nosocomial pathogens Chryseobacterium and fish pathogens Flavobacterium. This study demonstrated rapid bacterial colonization of LDPE MPs in lake water microcosms, the role of MPs as transfer vectors for harmful microorganisms in lake water, and provided a first glimpse into the effect of surface properties on LDPE MP-associated biofilm communities.
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DADA2: High–resolution sample inference from Illumina amplicon data
Callahan, B. J., McMurdie, P. J., Rosen, M. J., Han, A. W., Johnson, A. J. A., & Holmes, S. P. (2016) · Nature Methods · doi:10.1038/nmeth.3869 · Cited by 35,698
The SILVA ribosomal RNA gene database project: improved data processing and web-based tools
Quast, C., Pruesse, E., Yilmaz, P., Gerken, J., Schweer, T., Yarza, P., Peplies, J., & Glöckner, F. O. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1219 · Cited by 33,055
FLASH: fast length adjustment of short reads to improve genome assemblies
Magoč, T., & Salzberg, S. L. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr507 · Cited by 15,366
Life in the “plastisphere”: microbial communities on plastic marine debris
Zettler, E. R., Mincer, T. J., & Amaral-Zettler, L. A. (2013) · Environmental Science & Technology · doi:10.1021/es401288x · Cited by 3,368
Characterisation of nanoplastics during the degradation of polystyrene
Lambert, S., & Wagner, M. (2016) · Chemosphere · doi:10.1016/j.chemosphere.2015.11.078 · Cited by 1,075
Oberbeckmann, S., Loeder, M. G. J., Gerdts, G., & Osborn, A. M. (2014) · FEMS Microbiology Ecology · doi:10.1111/1574-6941.12409 · Cited by 540
Cited by
Xu, Y., Ou, Q., van der Hoek, J. P., Liu, G., & Lompe, K. M. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.3c07035 · Cited by 325
Okeke, E. S., Ezeorba, T. P. C., Chen, Y., Mao, G., Feng, W., & Wu, X. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-022-22612-w · Cited by 37
Metadata
- Authors
- Gong, M., Yang, G., Zhuang, L., & Zeng, E. Y.
- Venue
- Environmental Pollution
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 252
- Issue
- Pt A
- Pages
- 94-102
- ISSN
- 0269-7491 (ISSN-L)
- OpenAlex
- W2944998995
- Cited by
- 219
- References
- 6
- FWCI
- 6.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gong, M., Yang, G., Zhuang, L., & Zeng, E. Y. (2019). Microbial biofilm formation and community structure on low-density polyethylene microparticles in lake water microcosms. Environmental Pollution. https://doi.org/10.1016/j.envpol.2019.05.090
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