Diversity and correlation analysis of microbiomes and metabolites of Sphagnum palustre in various microhabitats.

Background: Sphagnum peat mosses are crucial contributors to global carbon sequestration and are a dominant presence in many northern peatland environments. These mosses host a wide variety of microorganisms, which reside within their tissues and on their surfaces. Despite this close association, the connection between these microorganisms and the production of metabolites across different parts of Sphagnum remains unclear. Results: This research explored the connection between microbial diversity and metabolite production in various microhabitats of Sphagnum palustre by employing metagenomic and metabolomic techniques. Our results indicate that the S. palustre microbiome composition is more strongly influenced by microhabitat than by geographic location. Microbiome diversity microbiomes related to S. palustre showed a steady decrease from soil to near soil, from X to CAP, and from belowground to aboveground habitats. In contrast, network complexity increased. Species abundance analysis indicated that Proteobacteria was the most prevalent bacterial phylum across CAP, S, Z, and X. Additionally, Ascomycota emerged as the predominant fungal phylum. There were significant differences in nitrogen fixation activity, methane oxidation activity, total nitrogen, and total carbon among different microhabitats. The FAPROTAX analysis revealed differences in the metabolic potential of the carbon (C) and nitrogen (N) cycles across the four microhabitats. LC–MS/MS technology was employed to quantitatively assess metabolites across various S. palustre microhabitats. A total of 3,822 metabolites and 353 differential metabolites were detected, predominantly including lipids, organic acids, and carboxylic acids. The majority of these differential metabolites were associated with metabolic pathways such as carotenoid biosynthesis, steroid biosynthesis, secondary bile acid biosynthesis, as well as the biosynthesis of neomycin, kanamycin, and gentamicin. Correlation analysis revealed both positive and negative relationships between microorganisms and differential metabolites. Methylocystis, which was significantly enriched in X and T, showed a strong positive correlation with differential metabolites in S vs T and Z vs X, but a negative correlation with those in X vs T (p < 0.05). Conclusion: In summary, our study demonstrates that Sphagnum palustre microbiomes are primarily influenced by microhabitats rather than specific environmental conditions at different sites. We identified significant variations in microbial community diversity across various S. palustre microhabitats. Correlation analysis revealed links between microorganisms and differential metabolic processes. This comprehensive investigation of aboveground and belowground microbiomes and metabolites in S. palustre provides new insights into the distribution of microbial communities and metabolites across different microhabitats. [ABSTRACT FROM AUTHOR]