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Unveiling PHA-storing populations using molecular methods
Diogo Queirós1, Paulo C Lemos2, Simona Rossetti3
1CICECO-Aveiro Institute of Materials, Chemistry Department, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal.
Abstract:
Enrichment of mixed microbial cultures (MMCs) in polyhydroxyalkanoate (PHA)-storing microorganisms must take place to develop a successful PHA production process. Moreover, throughout the operational period of a MMC system, the population needs to be checked in order to understand the changes in the performance that eventually occurred. For these reasons, it is necessary to monitor the population evolution, in order to identify the different groups of microorganisms and relate them with the storage capacity and kinetics of the MMC. Regarding this particular process, several culture-independent molecular techniques were already applied, with the use of hybridization techniques such fluorescence in situ hybridization and also PCR-based methods like denaturing gradient gel electrophoresis, terminal restriction fragment length polymorphism, pyrosequencing, and quantitative PCR standing out. This review intends, thus, to look at the molecular methods currently applied in monitoring the PHA-storing population evolution and how they can be combined with the evolutionary engineering step in order to optimize the overall process.
Insights
Monitoring microbial populations is crucial for optimizing polyhydroxyalkanoate (PHA) production. This review explores molecular methods for tracking PHA-storing microorganisms and enhancing evolutionary engineering strategies.
Area of Science:
- Microbiology
- Biotechnology
- Environmental Science
Background:
- Successful polyhydroxyalkanoate (PHA) production relies on enriching mixed microbial cultures (MMCs) with PHA-storing microorganisms.
- Monitoring MMC population dynamics is essential for understanding and improving PHA production performance and kinetics.
Purpose of the Study:
- To review molecular methods for monitoring PHA-storing microbial populations.
- To explore the integration of these methods with evolutionary engineering for process optimization.
Main Methods:
- The review covers various culture-independent molecular techniques.
- Methods discussed include fluorescence in situ hybridization (FISH), PCR-based methods (DGGE, T-RFLP, pyrosequencing), and quantitative PCR (qPCR).
Main Results:
- A range of molecular techniques are available for analyzing microbial communities.
- These techniques allow for the identification of different microbial groups and their correlation with PHA storage capacity.
Conclusions:
- Molecular monitoring is vital for understanding and optimizing PHA production processes.
- Combining molecular insights with evolutionary engineering can enhance overall process efficiency.
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