Unveiling microbial succession dynamics on different plastic surfaces using WGCNA

Over recent decades, marine microorganisms have increasingly adapted to plastic debris, forming distinct plastic-attached microbial communities. Despite this, the colonization and succession processes on plastic surfaces in marine environments remain poorly understood. To address this knowledge gap, we conducted a microbiome succession experiment using four common plastic polymers (PE, PP, PS, and PET), as well as glass and wood, in a temperature-controlled seawater system over a 2- to 90-day period. We employed long-read 16S rRNA metabarcoding to profile the prokaryotic microbiome's taxonomic composition at five time points throughout the experiment. By applying Weighted Gene Co-expression Network Analysis (WGCNA) to our 16S metabarcoding data, we identified unique succession signatures for 77 bacterial genera and observed polymer-specific enrichment in 39 genera. Our findings also revealed that the most significant variations in microbiome composition across surfaces occurred during the initial succession stages, with potential intra-genus relationships that are linked to surface preferences. This research advances our understanding of microbial succession dynamics on marine plastic debris and introduces a robust statistical approach for identifying succession signatures of specific bacterial taxa.

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Publication Details

Journal
PLoS ONE
Published
2025-02-06
DOI
https://doi.org/10.1371/journal.pone.0318843
Citations
4
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
2.01

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article

Unveiling microbial succession dynamics on different plastic surfaces using WGCNA

Keren Davidov, Matan Oren, Liat Anabel Sinberger, Sheli Itzahri
4 citations
PLoS ONE
Microplastics and Plastic Pollution
2.01
article

Unveiling microbial succession dynamics on different plastic surfaces using WGCNA

Keren Davidov, Matan Oren, Liat Anabel Sinberger, Sheli Itzahri
article en
4 citations

Abstract

Over recent decades, marine microorganisms have increasingly adapted to plastic debris, forming distinct plastic-attached microbial communities. Despite this, the colonization and succession processes on plastic surfaces in marine environments remain poorly understood. To address this knowledge gap, we conducted a microbiome succession experiment using four common plastic polymers (PE, PP, PS, and PET), as well as glass and wood, in a temperature-controlled seawater system over a 2- to 90-day period. We employed long-read 16S rRNA metabarcoding to profile the prokaryotic microbiome's taxonomic composition at five time points throughout the experiment. By applying Weighted Gene Co-expression Network Analysis (WGCNA) to our 16S metabarcoding data, we identified unique succession signatures for 77 bacterial genera and observed polymer-specific enrichment in 39 genera. Our findings also revealed that the most significant variations in microbiome composition across surfaces occurred during the initial succession stages, with potential intra-genus relationships that are linked to surface preferences. This research advances our understanding of microbial succession dynamics on marine plastic debris and introduces a robust statistical approach for identifying succession signatures of specific bacterial taxa.

PLoS ONEVol. 20(2)
Ariel University (IL)
Israel Science Foundation, Ministry of Science and Technology, Israel
Life below water
Openalex Percentile: Top 16%
Microplastics and Plastic Pollution
2.01
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