Host biology, ecology and the environment influence microbial biomass and diversity in 101 marine fish species
Year: 2022
Type: article
Abstract: Fish are the most diverse and widely distributed vertebrates, yet little is known about the microbial ecology of fishes nor the biological and environmental factors that influence fish microbiota. To identify factors that explain microbial diversity patterns in a geographical subset of marine fish, we analyzed the microbiota (gill tissue, skin mucus, midgut digesta and hindgut digesta) from 101 species of Southern California marine fishes, spanning 22 orders, 55 families and 83 genera, representing ~25% of local marine fish diversity. We compare alpha, beta and gamma diversity while establishing a method to estimate microbial biomass associated with these host surfaces. We show that body site is the strongest driver of microbial diversity while microbial biomass and diversity is lowest in the gill of larger, pelagic fishes. Patterns of phylosymbiosis are observed across the gill, skin and hindgut. In a quantitative synthesis of vertebrate hindguts (569 species), we also show that mammals have the highest gamma diversity when controlling for host species number while fishes have the highest percent of unique microbial taxa. The composite dataset will be useful to vertebrate microbiota researchers and fish biologists interested in microbial ecology, with applications in aquaculture and fisheries management.
Source: Nature Communications
Language: English
Subfield: Immunology
Field: Immunology and Microbiology
Domain: Life Sciences
SDG: Life below water
Open Access status: gold
Estimated APC paid: $5,890
Awards: G145002899, G256599486, Graduate Training Program in Bioinformatics, Scripps Center for Oceans and Human Health, Scripps Center for Ocean and Human Health, Wie die Interaktion zwichen Wirtsorganismen und dem Darmmikrobiom die rapide Anpassung von Dreistachligen Stichlingen an trophische Nischen begünstigt, G494031331, MTM 1: Experimental framework for marine fish microbiomes through synthetic communities and multi-omic approaches, G6121853115, NSF Postdoctoral Fellowship in Biology FY 2020, G9000133526
OpenAlex ID: W4309500799
