Get in touch if you have feedback or would like to see other data on metaTraits. metaTraits is fully Open Access and FAIR and was supported by a Flex Fund from nfdi4microbiota.de @nfdi4microbiota.bsky.social within @nfdi.de. Many thanks to all co-authors! 8/8

2️⃣ sumTraits computes community-level trait summaries from taxonomic profiles (mOTUs, MetaPhlAn, etc.). Trait shifts can mirror environmental context: Here, aerotolerant microbes, abundant in rCDI, decrease after FMT, likely reflecting the restoration of low oxygen availability in the gut. 7/8

1️⃣ porTraits predicts traits for your genomes/MAGs (currently BacDive‑AI, GenomeSPOT, Traitar, MICROPHERRET) & pulls metaTraits context for the detected taxa. Also available on the free ☁️ workflow platform CloWM.de, or via @nextflow.io github.com/grp-bork/por.... 6/8

Bring your own data! 💻 We provide two workflows for the annotation of user-submitted data. Have a look at the examples and try them out on our metaTraits website: 5/8

Most microbial diversity is uncultured. metaTraits bridges the gap by combining culture-based trait data (@bacdive.bsky.social, @bvbrc.bsky.social, JGI/GOLD/IMG) with predictions for MAGs and genomes (SPIRE, proGenomes). All trait summaries come with provenance and links to their original data. 4/8

Search 🔍 metaTraits by NCBI or GTDB taxonomy, or directly by IDs in the underlying DBs. Filter data sources to consider in your query: You can include/exclude genome-based predictions or toggle specific culture collections to strictly control the level of evidence you need. 3/8

View traits 📊 for individual microbes, or summarized at species, genus, or family level. Explore traditional culture-based traits (e.g. aerotolerance, pH, motility), alongside metrics derived from (meta)genomics (e.g. genome size, pangenome openness, generalism, population diversity). 2/8