Quantifying Shared and Unique Gene Content across 17 Microbial Ecosystems
ABSTRACT Measuring microbial diversity is traditionally based on microbe taxonomy. Here, in contrast, we aimed to quantify heterogeneity in microbial gene content across 14,183 metagenomic samples spanning 17 ecologies, including 6 human associated, 7 nonhuman host associated, and 4 in other nonhuma...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
American Society for Microbiology
2023-04-01
|
Series: | mSystems |
Subjects: | |
Online Access: | https://journals.asm.org/doi/10.1128/msystems.00118-23 |