Machine learning reveals microbial interactions driving plastic degradation across plastisphere environments

Microplastic pollution fosters the development of distinct microbial biofilm communities, termed the plastisphere, that vary across environmental contexts. Here, we used 16S rRNA gene sequencing combined with machine learning (ML) approaches to explore plastisphere microbial diversity and the intera...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Akib Al Mahir, Arjun Sathyan Kulathuvayal, Yunjian Lei, Qijun Zhang, Luguang Wang, Yanqing Su, Liyuan Hou
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2026-01-01
Schriftenreihe:	Frontiers in Microbiology
Schlagworte:	plastic degradation predictive modeling microbial analysis machine learning microplastic biofilm
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fmicb.2025.1691658/full
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