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DOI | 10.1073/pnas.2016810118 |
Estimating maximal microbial growth rates from cultures, metagenomes, and single cells via codon usage patterns | |
Weissman J.L.; Hou S.; Fuhrman J.A. | |
发表日期 | 2021 |
ISSN | 00278424 |
卷号 | 118期号:12 |
英文摘要 | Maximal growth rate is a basic parameter of microbial lifestyle that varies over several orders of magnitude, with doubling times ranging from a matter of minutes to multiple days. Growth rates are typically measured using laboratory culture experiments. Yet, we lack sufficient understanding of the physiology of most microbes to design appropriate culture conditions for them, severely limiting our ability to assess the global diversity of microbial growth rates. Genomic estimators of maximal growth rate provide a practical solution to survey the distribution of microbial growth potential, regardless of cultivation status. We developed an improved maximal growth rate estimator and predicted maximal growth rates from over 200,000 genomes, metagenome-assembled genomes, and single-cell amplified genomes to survey growth potential across the range of prokaryotic diversity; extensions allow estimates from 16S rRNA sequences alone as well as weighted community estimates from metagenomes. We compared the growth rates of cultivated and uncultivated organisms to illustrate how culture collections are strongly biased toward organisms capable of rapid growth. Finally, we found that organisms naturally group into two growth classes and observed a bias in growth predictions for extremely slow-growing organisms. These observations ultimately led us to suggest evolutionary definitions of oligotrophy and copiotrophy based on the selective regime an organism occupies. We found that these growth classes are associated with distinct selective regimes and genomic functional potentials. © 2021 National Academy of Sciences. All rights reserved. |
英文关键词 | Microbial growth | oligotrophy | copiotrophy | codon usage bias |
语种 | 英语 |
scopus关键词 | RNA 16S; Article; bacterial cell; bacterium culture; codon usage; controlled study; copiotrophy; gene amplification; gene function; growth rate; metagenome; microbial community; microbial genome; microbial growth; nonhuman; oligotrophy; prediction; priority journal; prokaryotic evolution; RNA sequence |
来源期刊 | Proceedings of the National Academy of Sciences of the United States of America
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/180158 |
作者单位 | Department of Biological Sciences–Marine and Environmental Biology, University of Southern California, Los Angeles, CA 90089, United States |
推荐引用方式 GB/T 7714 | Weissman J.L.,Hou S.,Fuhrman J.A.. Estimating maximal microbial growth rates from cultures, metagenomes, and single cells via codon usage patterns[J],2021,118(12). |
APA | Weissman J.L.,Hou S.,&Fuhrman J.A..(2021).Estimating maximal microbial growth rates from cultures, metagenomes, and single cells via codon usage patterns.Proceedings of the National Academy of Sciences of the United States of America,118(12). |
MLA | Weissman J.L.,et al."Estimating maximal microbial growth rates from cultures, metagenomes, and single cells via codon usage patterns".Proceedings of the National Academy of Sciences of the United States of America 118.12(2021). |
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