基因
生物
遗传学
表型
突变体
基因组
突变
细菌基因组大小
基因组学
计算生物学
作者
Morgan N. Price,Kelly M. Wetmore,R. Jordan Waters,Mark Callaghan,Jayashree Ray,Hualan Liu,Jennifer V. Kuehl,Ryan A. Melnyk,Jacob S. Lamson,Yumi Suh,Hans K. Carlson,Zuelma Esquivel,Harini Sadeeshkumar,Romy Chakraborty,Grant M. Zane,Benjamin E. Rubin,Judy D. Wall,Axel Visel,James Bristow,Matthew J. Blow
出处
期刊:Nature
[Nature Portfolio]
日期:2018-05-14
卷期号:557 (7706): 503-509
被引量:640
标识
DOI:10.1038/s41586-018-0124-0
摘要
One-third of all protein-coding genes from bacterial genomes cannot be annotated with a function. Here, to investigate the functions of these genes, we present genome-wide mutant fitness data from 32 diverse bacteria across dozens of growth conditions. We identified mutant phenotypes for 11,779 protein-coding genes that had not been annotated with a specific function. Many genes could be associated with a specific condition because the gene affected fitness only in that condition, or with another gene in the same bacterium because they had similar mutant phenotypes. Of the poorly annotated genes, 2,316 had associations that have high confidence because they are conserved in other bacteria. By combining these conserved associations with comparative genomics, we identified putative DNA repair proteins; in addition, we propose specific functions for poorly annotated enzymes and transporters and for uncharacterized protein families. Our study demonstrates the scalability of microbial genetics and its utility for improving gene annotations. A large-scale mutagenesis screen identifies mutant phenotypes for over 11,000 protein-coding genes in bacteria that had previously not been assigned a specific function.
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