Understanding metabolic adaptation by using bacterial laboratory evolution and trans-omics analysis.

Area of Science:

• Microbiology
• Systems Biology
• Evolutionary Biology

Background:

• Metabolic adaptation is key to understanding diseases like cancer and metabolic syndrome.
• Microorganisms serve as effective model systems for studying metabolic networks due to experimental ease.
• Laboratory evolution and omics approaches are crucial for elucidating adaptive processes.

Purpose of the Study:

• To review recent studies on bacterial laboratory evolution and omics for stress adaptation.
• To clarify genetic and phenotypic alterations during metabolic adaptation.
• To explore the complex trans-omics network underlying metabolic adaptation.

Main Methods:

• Utilizing laboratory evolution in various stress environments with microorganisms.
• Integrating omics data (genomic, transcriptomic) with phenotypic data.
• Employing an automated culture system for high-dimensional phenotypic data acquisition.

Main Results:

• Elucidation of evolutionary dynamics in response to environmental stress.
• Identification of genetic and phenotypic changes during adaptation.
• Establishment of a framework to analyze trans-omics networks in metabolic adaptation.

Conclusions:

• Bacterial laboratory evolution combined with multi-omics data provides deep insights into metabolic adaptation.
• Understanding metabolic adaptation is crucial for disease research.
• The integrated approach reveals complex regulatory networks governing adaptation to stress.