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Sampling, Sorting, and Characterizing Microplastics in Aquatic Environments with High Suspended Sediment Loads and Large Floating Debris
Published on: July 28, 2018
Distinct riverine plastispheres and microplastic-specific community complexity in the near-bottom benthic habitat
Yuanyu Cao1, Songze Chen2, Shuting Zhao1
1Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Abstract:
Aquatic near-bottom benthic habitats are important retention zones for waterborne microplastics (MPs), yet the assembly and ecological traits of the benthic plastisphere remain understudied, particularly how prevalent polymers regulate succession and micro-ecological processes. Here, five representative MPs, including polypropylene (PP), polyethylene terephthalate (PET), polyvinyl chloride (PVC), polylactic acid (PLA), and polyhydroxyalkanoates (PHA), were incubated for 100 days in an urban river's near-bottom benthic habitat. Bacterial, archaeal, and eukaryotic communities were characterized using DNA- and RNA-based amplicon sequencing, together with community assembly, co-occurrence network, functional prediction, and surface-aging analyses. Mature plastispheres formed distinct niches relative to ambient water and sediment communities. Although stochastic processes generally dominated community assembly, rainfall-associated hydrological disturbance increased deterministic contributions without eliminating polymer-specific signatures. MP-specific community complexity was reflected in substrate-dependent assemblages, network topology, RNA-resolved active keystone taxa, and predicted functional potential. Biodegradable PLA and PHA supported communities distinct from traditional non-biodegradable MPs and enriched nitrogen-cycling traits. PET represented an exceptional non-biodegradable polymer, showing a unique successional trajectory, pronounced surface-aging signals, and highly connected networks, suggesting broader microbial interactions at the polymer-biofilm interface. RNA-based sequencing uncovered a prominent role of active eukaryotes in network interactions, a pattern undetected by DNA-based profiling. Comamonadaceae, Rhodocyclaceae, Saprospiraceae, and Bacillariophyceae were identified as candidate taxa potentially associated with polymer surface aging and degradation-related processes based on co-occurrence network and enrichment analyses. This study provides field-based micro-ecological insights into plastisphere assembly in freshwater near-bottom benthic habitats under natural hydrological conditions and identifies key microbial taxa and functions linked to MP fate.
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