ReviewBiophysical reviews2020
Understanding metabolic adaptation by using bacterial laboratory evolution and trans-omics analysis.
Review in Biophysical reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Metabolic and Immune Adaptations in Preterm Neonates at Early Postnatal Period: Integrated Analysis of Key Metabolites and Pathways.Human mutation · 2025Article
- In Vitro Resistance-Predicting Studies and In Vitro Resistance-Related Parameters-A Hit-to-Lead Perspective.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Comparative Genomic and Transcriptomic Analysis of Phenol Degradation and Tolerance inInternational journal of molecular sciences · 2023Article
- Contributions of Adaptive Laboratory Evolution towards the Enhancement of the Biotechnological Potential of Non-Conventional Yeast Species.Journal of fungi (Basel, Switzerland) · 2023Review
- Microbial adaptive evolution.Journal of industrial microbiology & biotechnology · 2022Review
- Quantitative metabolic fluxes regulated by trans-omic networks.The Biochemical journal · 2022Review
- Biophysical Reviews: 2020-looking back, going forward.Biophysical reviews · 2020Article
- Biophysical Reviews-Quantitative analysis of biological phenomenon.Biophysical reviews · 2020Article
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Authors and funding
2 authors.
Funding
Abstract
Many diseases such as metabolic syndrome, cancer, inflammatory diseases, and pathological phenomena can be understood as an adaptive reconstitution of the metabolic state (metabolic adaptation). One of the effective approaches to reveal the property of metabolic networks is using model organisms such as microorganisms that are easier to experiment with than higher organisms. Using the laboratory evolution approach, we can elucidate the evolutionary dynamics in various stress environments, which provide us an understanding of the metabolic adaptation. In addition, the integration of omics data and phenotypic data enables us to clarify the genetic and phenotypic alterations during adaptation. In this review, we describe our recent studies on bacterial laboratory evolution and the omics approach to clarify the stress adaptation process. We have also obtained high-dimensional phenotypic data using our automated culture system. By combining these genomic and transcriptomic data within high-throughput phenotypic data, we can discuss the complex trans-omics network of metabolic adaptation.
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Registered trials
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