Zhu Manlu, Mori Matteo, Hwa Terence, Dai Xiongfeng
State Key Laboratory of Green Pesticides, Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, Hubei Key Laboratory of Genetic Regulation and Integrative Biology, Department of Microbiology, School of Life Sciences, Central China Normal University, Wuhan 430079, China.
Department of Physics, University of California, San Diego, La Jolla, CA 92093-0319.
Proc Natl Acad Sci U S A. 2025 May 6;122(18):e2427091122. doi: 10.1073/pnas.2427091122. Epub 2025 Apr 29.
Bacteria are known to allocate their proteomes according to how fast they grow, and the allocation strategies employed strongly affect bacterial adaptation to different environments. Much of what is currently known about proteome allocation is based on extensive studies of the model organism . It is not clear how much of 's proteome allocation strategy is applicable to other species, particularly since different species can grow at vastly different rates even in the same growth condition. In this study, we investigate differences in nutrient-dependent proteome allocation programs adopted by several distantly related bacterial species, including , one of the fastest-growing bacteria known. Extensive quantitative proteome characterization across conditions reveals an invariant allocation program in response to changing nutrients despite systemic, species-specific differences in enzyme kinetics. This invariant program is not organized according to the growth rate but is based on a common internal metric of nutrient quality after scaling away species-specific differences in enzyme kinetics, with the faster species behaving as if it is growing under a higher temperature. The flexibility of enzyme kinetics and the rigidity of proteome allocation programs across species defy common notions of evolvability and resource optimization. Our results suggest the existence of a blueprint of proteome allocation shared by diverse bacterial species, with implications on common underlying regulatory strategies. Further knowledge on the existence and organization of such phylogeny-transcending relations also promises to simplify the bottom-up description and understanding of bacterial behaviors in ecological communities.
众所周知,细菌会根据其生长速度分配蛋白质组,且所采用的分配策略会强烈影响细菌对不同环境的适应性。目前关于蛋白质组分配的许多知识都基于对模式生物的广泛研究。尚不清楚[模式生物名称]的蛋白质组分配策略在多大程度上适用于其他物种,特别是因为即使在相同的生长条件下,不同物种的生长速度也可能差异巨大。在本研究中,我们调查了几种亲缘关系较远的细菌物种(包括已知生长最快的细菌之一[物种名称])所采用的依赖营养物质的蛋白质组分配程序的差异。跨条件的广泛定量蛋白质组表征揭示,尽管酶动力学存在系统性的物种特异性差异,但响应营养物质变化时存在一个不变的分配程序。这个不变的程序不是根据生长速度组织的,而是基于在消除酶动力学的物种特异性差异后营养质量的共同内部指标,生长较快的物种表现得就好像它在更高温度下生长一样。酶动力学的灵活性和跨物种蛋白质组分配程序的刚性违背了关于进化能力和资源优化的常见观念。我们的结果表明存在一种不同细菌物种共享的蛋白质组分配蓝图,这对共同的潜在调控策略具有启示意义。关于这种超越系统发育关系的存在和组织的进一步知识也有望简化对生态群落中细菌行为的自下而上的描述和理解。