Skin metatranscriptomics reveals landscape of variation in microbial activity and gene expression across the human body
Minghao ChiaiD, Amanda Hui Qi NgiD, Aarthi RavikrishnaniD, Ahmad Nazri Mohamed Naim, Stephen WearneiD, John CommoniD, Niranjan NagarajaniD
Abstract
The skin microbiome plays an important role in immune homeostasis and skin health, and yet our understanding of in vivo microbial gene activity is hindered by the lack of a robust, non-invasive protocol for metatranscriptomics across skin sites. Circumventing the challenges of low microbial biomass, host contamination, and RNA stability, we developed a clinically tractable skin metatranscriptomics workflow that provides high technical reproducibility of profiles (Pearson r>0.95), uniform coverage across gene bodies, and strong enrichment of microbial mRNAs (2.5-40x). Applying this protocol to a cohort of healthy adults (n=27) across five different skin sites (n=102, paired metatranscriptomes and metagenomes), identified a striking divergence between transcriptomic and genomic abundances, with Staphylococcus species and the skin fungi Malassezia having an outsized contribution to the metatranscriptomic landscape at most sites despite their modest representation in metagenomes. Species-level analysis showed skin site-specific enrichment of gene expression (e.g. increased levels of secreted fungal phospholipase C on cheeks relative to scalp), and revealed how key pathways were transcriptionally active in vivo (e.g. propionate and 4-aminobutyrate metabolism, potentially impacting skin barrier function). Gene-level analysis identified diverse antimicrobial genes transcribed by skin commensals in situ, including several uncharacterized bacteriocins, some of which are expressed at levels comparable to known antimicrobial genes. Correlation of microbial gene expression with organismal abundances uncovered >20 genes that putatively mediate interactions between microbes (e.g. a secreted Malassezia restricta protein with strongly negative in vivo association with Cutibacterium acnes; Spearman {rho}>0.7). This work showcases the potential for leveraging skin metatranscriptomics to identify microbes whose activities play an outsized role in the community, and for uncovering pivotal microbial pathways and biomarkers linked to skin health and disease.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 18
- FWCI
- 17.11
- Field percentile
- top 1%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- An enhanced characterization of the human skin microbiome: a new biodiversity of microbial interactions
- Integrated genomic and functional analyses of human skin-associated Staphylococcus reveals extensive inter- and intra-species diversity
P. Joglekar, S. Conlan, … J. Segre·bioRxiv·Jun 22, 2023
- Life stage impact on the human skin ecosystem: lipids and the microbial community
M. P. Pagac, B. Davient, … T. Dawson·bioRxiv·Jan 3, 2024
- Multi-omics Analyses of Facial Skin in Acne Identify Distinct Microbial and Metabolic Features at Lesional and Non-lesional Sites
Yang Chen, Britta De Pessemier, … Rob D. Knight·npj Biofilms and MicrobiomesPeer-reviewed·Aug 6, 2026
- Large-scale skin metagenomics reveals extensive prevalence, coordination, and functional adaptation of skin microbiome dermotypes across body sites
Chengchen Li, Aarthi Ravikrishnan, … Niranjan Nagarajan·bioRxiv·Apr 24, 2025
- Interactions of host defense and hyper-keratinization in psoriasis
Jingwen Deng, Emmerik F A Leijten, … Aridaman Pandit·bioRxiv·Nov 26, 2021