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,...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0318843 |
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| author | Keren Davidov Sheli Itzahri Liat Anabel Sinberger Matan Oren |
| author_facet | Keren Davidov Sheli Itzahri Liat Anabel Sinberger Matan Oren |
| author_sort | Keren Davidov |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-40077026732c4b509ab0c963b0fddf95 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-40077026732c4b509ab0c963b0fddf952025-02-12T05:31:00ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01202e031884310.1371/journal.pone.0318843Unveiling microbial succession dynamics on different plastic surfaces using WGCNA.Keren DavidovSheli ItzahriLiat Anabel SinbergerMatan OrenOver 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.https://doi.org/10.1371/journal.pone.0318843 |
| spellingShingle | Keren Davidov Sheli Itzahri Liat Anabel Sinberger Matan Oren Unveiling microbial succession dynamics on different plastic surfaces using WGCNA. PLoS ONE |
| title | Unveiling microbial succession dynamics on different plastic surfaces using WGCNA. |
| title_full | Unveiling microbial succession dynamics on different plastic surfaces using WGCNA. |
| title_fullStr | Unveiling microbial succession dynamics on different plastic surfaces using WGCNA. |
| title_full_unstemmed | Unveiling microbial succession dynamics on different plastic surfaces using WGCNA. |
| title_short | Unveiling microbial succession dynamics on different plastic surfaces using WGCNA. |
| title_sort | unveiling microbial succession dynamics on different plastic surfaces using wgcna |
| url | https://doi.org/10.1371/journal.pone.0318843 |
| work_keys_str_mv | AT kerendavidov unveilingmicrobialsuccessiondynamicsondifferentplasticsurfacesusingwgcna AT sheliitzahri unveilingmicrobialsuccessiondynamicsondifferentplasticsurfacesusingwgcna AT liatanabelsinberger unveilingmicrobialsuccessiondynamicsondifferentplasticsurfacesusingwgcna AT matanoren unveilingmicrobialsuccessiondynamicsondifferentplasticsurfacesusingwgcna |