Fingerprinting cities: differentiating subway microbiome functionality.

ABSTRACT:

Background

Accumulating evidence suggests that the human microbiome impacts individual and public health. City subway systems are human-dense environments, where passengers often exchange microbes. The MetaSUB project participants collected samples from subway surfaces in different cities and performed metagenomic sequencing. Previous studies focused on taxonomic composition of these microbiomes and no explicit functional analysis had been done till now.

Results

As a part of the 2018 CAMDA challenge, we functionally profiled the available ~ 400 subway metagenomes and built predictor for city origin. In cross-validation, our model reached 81% accuracy when only the top-ranked city assignment was considered and 95% accuracy if the second city was taken into account as well. No

SUBMITTER: Zhu C 

PROVIDER: S-EPMC6822482 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature