Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA.
Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan 48824, USA.
Nat Microbiol. 2016 Sep 12;1(11):16160. doi: 10.1038/nmicrobiol.2016.160.
The potential for rapid reproduction is a hallmark of microbial life, but microbes in nature must also survive and compete when growth is constrained by resource availability. Successful reproduction requires different strategies when resources are scarce and when they are abundant, but a systematic framework for predicting these reproductive strategies in bacteria has not been available. Here, we show that the number of ribosomal RNA operons (rrn) in bacterial genomes predicts two important components of reproduction-growth rate and growth efficiency-which are favoured under contrasting regimes of resource availability. We find that the maximum reproductive rate of bacteria doubles with a doubling of rrn copy number, and the efficiency of carbon use is inversely related to maximal growth rate and rrn copy number. We also identify a feasible explanation for these patterns: the rate and yield of protein synthesis mirror the overall pattern in maximum growth rate and growth efficiency. Furthermore, comparative analysis of genomes from 1,167 bacterial species reveals that rrn copy number predicts traits associated with resource availability, including chemotaxis and genome streamlining. Genome-wide patterns of orthologous gene content covary with rrn copy number, suggesting convergent evolution in response to resource availability. Our findings imply that basic cellular processes adapt in contrasting ways to long-term differences in resource availability. They also establish a basis for predicting changes in bacterial community composition in response to resource perturbations using rrn copy number measurements or inferences.
快速繁殖的潜力是微生物生命的一个标志,但自然界中的微生物在生长受到资源可用性限制时,还必须生存和竞争。当资源稀缺和丰富时,成功的繁殖需要不同的策略,但在细菌中预测这些繁殖策略的系统框架尚不可用。在这里,我们表明,细菌基因组中的核糖体 RNA 操纵子(rrn)数量预测了繁殖的两个重要组成部分——生长速度和生长效率——在资源可用性的对比条件下受到青睐。我们发现,rrn 拷贝数增加一倍,细菌的最大繁殖速度就会增加一倍,而碳利用效率与最大生长速度和 rrn 拷贝数呈反比。我们还为这些模式找到了一个可行的解释:蛋白质合成的速度和产量反映了最大生长速度和生长效率的整体模式。此外,对来自 1167 种细菌物种的基因组进行的比较分析表明,rrn 拷贝数预测了与资源可用性相关的特征,包括趋化性和基因组简化。直系同源基因含量的全基因组模式与 rrn 拷贝数相关,这表明了对资源可用性的趋同进化。我们的发现意味着基本的细胞过程会以不同的方式适应长期的资源可用性差异。它们还为使用 rrn 拷贝数测量或推断来预测资源扰动对细菌群落组成的变化奠定了基础。