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Streb, L.-M. ; Assane, I.M.* ; Souza, G.F.P.d.* ; Pilarski, F.* ; Queiroga, A.P.* ; Kublik, S. ; Rath, S.* ; Schloter, M.

Conventional diversity metrics underestimate gut microbiome disruption under florfenicol exposure in Nile tilapia (Oreochromis niloticus).

Sci. Rep. 16:31910 (2026)
Publ. Version/Full Text Research data DOI
Open Access Gold
Creative Commons Lizenzvertrag
The gut microbiome is an integral component of fish health and growth performance and therefore represents an important production factor in aquaculture. Antibiotics are a major stressor, not only by disturbing microbial diversity, but also by altering microbial interactions involved in digestion, colonization resistance and functional redundancy. Current risk assessments, however, rely largely on diversity-based evaluations and rarely consider changes in network topology. Here, we investigated the impact of florfenicol on the gut microbiome of Nile tilapia (Oreochromis niloticus) using 16S rRNA sequencing, combining conventional diversity metrics with microbial co-occurrence network modelling. While the microbial community remained overall stable at the diversity level, with treatment explaining only a minor proportion of the observed variation, network analysis revealed substantial fragmentation and a less robust network structure. Network connectivity was significantly reduced, with a near-complete turnover of central hub taxa in the florfenicol network. Our findings demonstrate that diversity-based assessments alone may substantially underestimate the extent of antibiotic-induced microbiome disturbance, with network analysis capturing changes within the community that are highly relevant for microbiome stability and would otherwise remain undetected when evaluations are restricted to diversity metrics.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Gut Microbiota ; Florfenicol ; Oreochromis Niloticus ; Antibiotic Exposure ; Microbial Co-occurrence Networks ; Network Topology ; Hub Taxa ; Microbiome Stability ; Aquaculture ; Fish Health
ISSN (print) / ISBN 2045-2322
e-ISSN 2045-2322
Journal Scientific Reports
Quellenangaben Volume: 16, Issue: 1, Pages: , Article Number: 31910 Supplement: ,
Publisher Springer
Publishing Place London
Reviewing status Peer reviewed
Institute(s) Comparative Microbiome Analysis (COMI)