We also used machine learning to show that diseased implants could be identified from microbiome profiles alone, reinforcing the potential of assessing the peri-implant microbiome in the clinical setting as a supportive diagnostic tool

These included many functional and taxonomic unknowns, but also the well-studied for its role in periodontitis Fusobacterium nucleatum, with specific F. nuc clades associated differentially with mucositis and peri-implantitis

Here we expanded our previous cohort (Ghensi et al. 2020) and used improved metagenomic profiling tools to identify strong microbiome markers of implant health and disease (mucositis or peri-implantitis)

We also list the social, host-related, and microbial factors potentially associated with human microbiome transmission, and talk about the methodological challenges associated with microbiome transmission inference

Since this includes microbial exchange not only with the main fount of our microbes - other humans, we dissect all the potential sources of human microbiome strains, including animals and foods

Thrilled to share our review (with @mireiavallesc.bsky.social and Nicola Segata) on "Human microbiome acquisition and transmission" just published @naturerevmicro.bsky.social

Wrong figure here, right one below

We found the dog plaque microbiome is more diverse than the human plaque microbiome and that there is very little microbial overlap between the dental plaque of dogs and humans (only ~6% of species found in both host species) (4/7)

Through metagenomic sequencing and assembly, we reconstructed genomes for 347 dog plaque microbial species (spanning one archaeal and 17 bacterial phyla), 265 of which had never been identified before (2/7)

In this study just published at npj Biofilms and Microbiomes, we collected dental swab samples from dogs to shed light on the hardly studied dog dental plaque microbiome (1/7)