The Architecture of Metabolic Networks Constrains the Evolution of Microbial Resource Hierarchies

Author:

Takano Sotaro123,Vila Jean C C124,Miyazaki Ryo35,Sánchez Álvaro126,Bajić Djordje127ORCID

Affiliation:

1. Department of Ecology and Evolutionary Biology, Yale University , New Haven, CT , USA

2. Microbial Sciences Institute, Yale University , New Haven, CT , USA

3. Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) , Tsukuba , Japan

4. Department of Biology, Stanford University , Stanford, CA , USA

5. Computational Bio Big Data Open Innovation Laboratory (CBBD-OIL), AIST , Tokyo , Japan

6. Department of Microbial Biotechnology, CNB-CSIC, Campus de Cantoblanco , Madrid , Spain

7. Section of Industrial Microbiology, Department of Biotechnology, Technical University Delft , Delft , The Netherlands

Abstract

Abstract Microbial strategies for resource use are an essential determinant of their fitness in complex habitats. When facing environments with multiple nutrients, microbes often use them sequentially according to a preference hierarchy, resulting in well-known patterns of diauxic growth. In theory, the evolutionary diversification of metabolic hierarchies could represent a mechanism supporting coexistence and biodiversity by enabling temporal segregation of niches. Despite this ecologically critical role, the extent to which substrate preference hierarchies can evolve and diversify remains largely unexplored. Here, we used genome-scale metabolic modeling to systematically explore the evolution of metabolic hierarchies across a vast space of metabolic network genotypes. We find that only a limited number of metabolic hierarchies can readily evolve, corresponding to the most commonly observed hierarchies in genome-derived models. We further show how the evolution of novel hierarchies is constrained by the architecture of central metabolism, which determines both the propensity to change ranks between pairs of substrates and the effect of specific reactions on hierarchy evolution. Our analysis sheds light on the genetic and mechanistic determinants of microbial metabolic hierarchies, opening new research avenues to understand their evolution, evolvability, and ecology.

Funder

Young Investigator Award

Human Frontier Science Program

Spanish Ministry of Science and Innovation

Institute for Fermentation

Publisher

Oxford University Press (OUP)

Subject

Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics

Reference75 articles.

1. A thousand empirical adaptive landscapes and their navigability;Aguilar-Rodríguez;Nat Ecol Evol,2017

2. Metabolic determinants of enzyme evolution in a genome-scale bacterial metabolic network;Aguilar-Rodríguez;Genome Biol Evol,2018

3. Hierarchy of non-glucose sugars in Escherichia coli;Aidelberg;BMC Syst Biol,2014

4. The ecology and evolution of microbial metabolic strategies;Bajic;Curr Opin Biotechnol,2020

5. On the deformability of an empirical fitness landscape by microbial evolution;Bajić;Proc Natl Acad Sci U S A,2018

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