Benchmarking microbial growth rate predictions from metagenomes.

ISME J

Department of Biological Sciences-Marine and Environmental Biology, University of Southern California, Los Angeles, CA, USA.

Published: January 2021

AI Article Synopsis

  • Microbial growth rates are crucial for understanding how different microorganisms interact and form communities, and researchers have developed methods for estimating these rates using metagenomics.
  • The study compared two growth estimators, codon usage bias (CUB) and peak-to-trough ratio (PTR), on freshly collected marine prokaryotes in seawater while minimizing external factors like grazing and viral infections.
  • Results showed that while CUB correlated moderately with maximum growth rates, PTR did not effectively predict growth for most marine bacteria, indicating that genomic characteristics can better estimate growth potential.

Article Abstract

Growth rates are central to understanding microbial interactions and community dynamics. Metagenomic growth estimators have been developed, specifically codon usage bias (CUB) for maximum growth rates and "peak-to-trough ratio" (PTR) for in situ rates. Both were originally tested with pure cultures, but natural populations are more heterogeneous, especially in individual cell histories pertinent to PTR. To test these methods, we compared predictors with observed growth rates of freshly collected marine prokaryotes in unamended seawater. We prefiltered and diluted samples to remove grazers and greatly reduce virus infection, so net growth approximated gross growth. We sampled over 44 h for abundances and metagenomes, generating 101 metagenome-assembled genomes (MAGs), including Actinobacteria, Verrucomicrobia, SAR406, MGII archaea, etc. We tracked each MAG population by cell-abundance-normalized read recruitment, finding growth rates of 0 to 5.99 per day, the first reported rates for several groups, and used these rates as benchmarks. PTR, calculated by three methods, rarely correlated to growth (r ~-0.26-0.08), except for rapidly growing γ-Proteobacteria (r ~0.63-0.92), while CUB correlated moderately well to observed maximum growth rates (r = 0.57). This suggests that current PTR approaches poorly predict actual growth of most marine bacterial populations, but maximum growth rates can be approximated from genomic characteristics.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852909PMC
http://dx.doi.org/10.1038/s41396-020-00773-1DOI Listing

Publication Analysis

Top Keywords

growth rates
24
growth
12
maximum growth
12
rates
9
benchmarking microbial
4
microbial growth
4
growth rate
4
rate predictions
4
predictions metagenomes
4
metagenomes growth
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!