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| Main Authors: | , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
PloS one
2025
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/39913363/ |
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Table of Contents:
- Unveiling microbial succession dynamics on different plastic surfaces using WGCNA. Davidov, Keren Itzahri, Sheli Sinberger, Liat Anabel Oren, Matan Plastics Microbiota RNA, Ribosomal, 16S Bacteria Seawater 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.