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Evolution of C4 photosynthesis predicted by constraint-based modelling
Constraint-based modelling (CBM) is a powerful tool for the analysis of evolutionary trajectories. Evolution, especially evolution in the distant past, is not easily accessible to laboratory experimentation. Modelling can provide a window into evolutionary processes by allowing the examination of se...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905489/ https://www.ncbi.nlm.nih.gov/pubmed/31799932 http://dx.doi.org/10.7554/eLife.49305 |
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author | Blätke, Mary-Ann Bräutigam, Andrea |
author_facet | Blätke, Mary-Ann Bräutigam, Andrea |
author_sort | Blätke, Mary-Ann |
collection | PubMed |
description | Constraint-based modelling (CBM) is a powerful tool for the analysis of evolutionary trajectories. Evolution, especially evolution in the distant past, is not easily accessible to laboratory experimentation. Modelling can provide a window into evolutionary processes by allowing the examination of selective pressures which lead to particular optimal solutions in the model. To study the evolution of C4 photosynthesis from a ground state of C3 photosynthesis, we initially construct a C3 model. After duplication into two cells to reflect typical C4 leaf architecture, we allow the model to predict the optimal metabolic solution under various conditions. The model thus identifies resource limitation in conjunction with high photorespiratory flux as a selective pressure relevant to the evolution of C4. It also predicts that light availability and distribution play a role in guiding the evolutionary choice of possible decarboxylation enzymes. The data shows evolutionary CBM in eukaryotes predicts molecular evolution with precision. |
format | Online Article Text |
id | pubmed-6905489 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-69054892019-12-12 Evolution of C4 photosynthesis predicted by constraint-based modelling Blätke, Mary-Ann Bräutigam, Andrea eLife Computational and Systems Biology Constraint-based modelling (CBM) is a powerful tool for the analysis of evolutionary trajectories. Evolution, especially evolution in the distant past, is not easily accessible to laboratory experimentation. Modelling can provide a window into evolutionary processes by allowing the examination of selective pressures which lead to particular optimal solutions in the model. To study the evolution of C4 photosynthesis from a ground state of C3 photosynthesis, we initially construct a C3 model. After duplication into two cells to reflect typical C4 leaf architecture, we allow the model to predict the optimal metabolic solution under various conditions. The model thus identifies resource limitation in conjunction with high photorespiratory flux as a selective pressure relevant to the evolution of C4. It also predicts that light availability and distribution play a role in guiding the evolutionary choice of possible decarboxylation enzymes. The data shows evolutionary CBM in eukaryotes predicts molecular evolution with precision. eLife Sciences Publications, Ltd 2019-12-04 /pmc/articles/PMC6905489/ /pubmed/31799932 http://dx.doi.org/10.7554/eLife.49305 Text en © 2019, Blätke and Bräutigam https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Blätke, Mary-Ann Bräutigam, Andrea Evolution of C4 photosynthesis predicted by constraint-based modelling |
title | Evolution of C4 photosynthesis predicted by constraint-based modelling |
title_full | Evolution of C4 photosynthesis predicted by constraint-based modelling |
title_fullStr | Evolution of C4 photosynthesis predicted by constraint-based modelling |
title_full_unstemmed | Evolution of C4 photosynthesis predicted by constraint-based modelling |
title_short | Evolution of C4 photosynthesis predicted by constraint-based modelling |
title_sort | evolution of c4 photosynthesis predicted by constraint-based modelling |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905489/ https://www.ncbi.nlm.nih.gov/pubmed/31799932 http://dx.doi.org/10.7554/eLife.49305 |
work_keys_str_mv | AT blatkemaryann evolutionofc4photosynthesispredictedbyconstraintbasedmodelling AT brautigamandrea evolutionofc4photosynthesispredictedbyconstraintbasedmodelling |