Machine learning-aided analyses of thousands of draft genomes reveal specific features of activated sludge processes.

ABSTRACT:

Background

Microorganisms in activated sludge (AS) play key roles in the wastewater treatment processes. However, their ecological behaviors and differences from microorganisms in other environments have mainly been studied using the 16S rRNA gene that may not truly represent in situ functions.

Results

Here, we present 2045 archaeal and bacterial metagenome-assembled genomes (MAGs) recovered from 1.35 Tb of metagenomic data generated from 114 AS samples of 23 full-scale wastewater treatment plants (WWTPs). We found that the AS MAGs have obvious plant-specific features and that few proteins are shared by different WWTPs, especially for WWTPs located in geographically distant areas. Further, we developed a novel machine learning approach that can distinguish between AS MAGs an

SUBMITTER: Ye L 

PROVIDER: S-EPMC7014675 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature