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| Format: | Artículo científico |
| Sprache: | en |
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Antonie van Leeuwenhoek
2024
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| Online-Zugang: | https://pubmed.ncbi.nlm.nih.gov/39419938/ |
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| author | Patelou, Maria Koletti, Aikaterini Infante, Carlos Skliros, Dimitrios Komaitis, Fotios Kalloniati, Chrysanthi Tsiplakou, Eleni Mavrommatis, Alexandros Mantecón, Lalia Flemetakis, Emmanouil |
| author_facet | Patelou, Maria Koletti, Aikaterini Infante, Carlos Skliros, Dimitrios Komaitis, Fotios Kalloniati, Chrysanthi Tsiplakou, Eleni Mavrommatis, Alexandros Mantecón, Lalia Flemetakis, Emmanouil Patelou, Maria Koletti, Aikaterini Infante, Carlos Skliros, Dimitrios Komaitis, Fotios Kalloniati, Chrysanthi Tsiplakou, Eleni Mavrommatis, Alexandros Mantecón, Lalia Flemetakis, Emmanouil |
| collection | PubMed - marine biology |
| contents | Omics exploration of Tetraselmis chuii adaptations to diverse light regimes. Patelou, Maria Koletti, Aikaterini Infante, Carlos Skliros, Dimitrios Komaitis, Fotios Kalloniati, Chrysanthi Tsiplakou, Eleni Mavrommatis, Alexandros Mantecón, Lalia Flemetakis, Emmanouil Light Photosynthesis Microalgae Gene Expression Profiling Adaptation, Physiological Transcriptome Metabolomics Chlorophyta Microalgae are significantly influenced by light quality and quantity, whether in their natural habitats or under laboratory and industrial culture conditions. The present study examines the adaptive responses of the marine microalga Tetraselmis chuii to different light regimes, using a cost-effective filtering method and a multi-omics approach. Microalgal growth rates were negatively affected by all filtered light regimes. After six days of cultivation, growth rate for cultures exposed to blue and green filtered light was 67%, while for red filter was 83%, compared to control cultures. Transcriptomic analysis revealed that the usage of green filters resulted in upregulation of transcripts involved in ribosome biogenesis or coding for elongation factors, exemplified by a 2.3-fold increase of TEF3. On the other hand, a 2.7-fold downregulation was observed in photosynthesis-related petJ. Exposure to blue filtered light led to the upregulation of transcripts associated with pyruvate metabolism, while photosynthesis was negatively impacted. In contrast, application of red filter induced minor transcriptomic alterations. Regarding metabolomic analysis, sugars, amino acids, and organic acids exhibited significant changes under different light regimes. For instance, under blue filtered light sucrose accumulated over 6-fold, while aspartic acid content decreased by 4.3-fold. Lipidomics analysis showed significant accumulation of heptadecanoic and linoleic acids under green and red light filters. Together, our findings indicate that filter light can be used for targeted metabolic manipulation. |
| format | Artículo científico |
| id | pubmed_39419938 |
| institution | PubMed |
| language | en |
| publishDate | 2024 |
| publisher | Antonie van Leeuwenhoek |
| record_format | pubmed |
| spellingShingle | Omics exploration of Tetraselmis chuii adaptations to diverse light regimes. Patelou, Maria Koletti, Aikaterini Infante, Carlos Skliros, Dimitrios Komaitis, Fotios Kalloniati, Chrysanthi Tsiplakou, Eleni Mavrommatis, Alexandros Mantecón, Lalia Flemetakis, Emmanouil Light Photosynthesis Microalgae Gene Expression Profiling Adaptation, Physiological Transcriptome Metabolomics Chlorophyta Omics exploration of Tetraselmis chuii adaptations to diverse light regimes. Patelou, Maria Koletti, Aikaterini Infante, Carlos Skliros, Dimitrios Komaitis, Fotios Kalloniati, Chrysanthi Tsiplakou, Eleni Mavrommatis, Alexandros Mantecón, Lalia Flemetakis, Emmanouil Light Photosynthesis Microalgae Gene Expression Profiling Adaptation, Physiological Transcriptome Metabolomics Chlorophyta Microalgae are significantly influenced by light quality and quantity, whether in their natural habitats or under laboratory and industrial culture conditions. The present study examines the adaptive responses of the marine microalga Tetraselmis chuii to different light regimes, using a cost-effective filtering method and a multi-omics approach. Microalgal growth rates were negatively affected by all filtered light regimes. After six days of cultivation, growth rate for cultures exposed to blue and green filtered light was 67%, while for red filter was 83%, compared to control cultures. Transcriptomic analysis revealed that the usage of green filters resulted in upregulation of transcripts involved in ribosome biogenesis or coding for elongation factors, exemplified by a 2.3-fold increase of TEF3. On the other hand, a 2.7-fold downregulation was observed in photosynthesis-related petJ. Exposure to blue filtered light led to the upregulation of transcripts associated with pyruvate metabolism, while photosynthesis was negatively impacted. In contrast, application of red filter induced minor transcriptomic alterations. Regarding metabolomic analysis, sugars, amino acids, and organic acids exhibited significant changes under different light regimes. For instance, under blue filtered light sucrose accumulated over 6-fold, while aspartic acid content decreased by 4.3-fold. Lipidomics analysis showed significant accumulation of heptadecanoic and linoleic acids under green and red light filters. Together, our findings indicate that filter light can be used for targeted metabolic manipulation. |
| title | Omics exploration of Tetraselmis chuii adaptations to diverse light regimes. |
| topic | Light Photosynthesis Microalgae Gene Expression Profiling Adaptation, Physiological Transcriptome Metabolomics Chlorophyta |
| url | https://pubmed.ncbi.nlm.nih.gov/39419938/ |