A mathematical model for strigolactone biosynthesis in plants

Strigolactones mediate plant development, trigger symbiosis with arbuscular mycorrhizal fungi, are abundant in 80% of the plant kingdom and help plants gain resistance to environmental stressors. They also induce germination of parasitic plant seeds that are endemic to various continents, such as Or...

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Detalles Bibliográficos
Autores: Lucido, Abel, Basallo, Oriol, Sorribas Tello, Albert, Marin-Sanguino, Alberto, Vilaprinyo Terré, Ester, Alves, Rui
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/84360
Acceso en línea:https://doi.org/10.3389/fpls.2022.979162
http://hdl.handle.net/10459.1/84360
Access Level:acceso abierto
Palabra clave:Strigolactones
Arbuscular mycorrhizal fungi
Mathematical modeling
Computational biology
Feedback regulation
Biosynthetic pathway
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spelling A mathematical model for strigolactone biosynthesis in plantsLucido, AbelBasallo, OriolSorribas Tello, AlbertMarin-Sanguino, AlbertoVilaprinyo Terré, EsterAlves, RuiStrigolactonesArbuscular mycorrhizal fungiMathematical modelingComputational biologyFeedback regulationBiosynthetic pathwayStrigolactones mediate plant development, trigger symbiosis with arbuscular mycorrhizal fungi, are abundant in 80% of the plant kingdom and help plants gain resistance to environmental stressors. They also induce germination of parasitic plant seeds that are endemic to various continents, such as Orobanche in Europe or Asia and Striga in Africa. The genes involved in the early stages of strigolactones biosynthesis are known in several plants. The regulatory structure and the latter parts of the pathway, where flux branching occurs to produce alternative strigolactones, are less well-understood. Here we present a computational study that collects the available experimental evidence and proposes alternative biosynthetic pathways that are consistent with that evidence. Then, we test the alternative pathways through in silico simulation experiments and compare those experiments to experimental information. Our results predict the differences in dynamic behavior between alternative pathway designs. Independent of design, the analysis suggests that feedback regulation is unlikely to exist in strigolactone biosynthesis. In addition, our experiments suggest that engineering the pathway to modulate the production of strigolactones could be most easily achieved by increasing the flux of b-carotenes going into the biosynthetic pathway. Finally, we find that changing the ratio of alternative strigolactones produced by the pathway can be done by changing the activity of the enzymes after the flux branching points.This work was partially funded by PROSTRIG, an ERANET project from FACEJPI (PCI2019-103382, MICIUN) and project PI20/00377 (FIS). AL received funding from the European Union’s H2020 research and innovation programme under Marie Skłodowska-Curie grant agreement No. 801586.Frontiers Media202220222022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.3389/fpls.2022.979162http://hdl.handle.net/10459.1/84360http://hdl.handle.net/10459.1/84360reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a https://doi.org/10.3389/fpls.2022.979162Frontiers in Plant Science, 2022, vol. 13, art. 979162.info:eu-repo/grantAgreement/EC/H2020/801586cc-by (c) Abel Lucido et. al., 2022.info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:recercat.cat:10459.1/843602026-05-29T05:05:01Z
dc.title.none.fl_str_mv A mathematical model for strigolactone biosynthesis in plants
title A mathematical model for strigolactone biosynthesis in plants
spellingShingle A mathematical model for strigolactone biosynthesis in plants
Lucido, Abel
Strigolactones
Arbuscular mycorrhizal fungi
Mathematical modeling
Computational biology
Feedback regulation
Biosynthetic pathway
title_short A mathematical model for strigolactone biosynthesis in plants
title_full A mathematical model for strigolactone biosynthesis in plants
title_fullStr A mathematical model for strigolactone biosynthesis in plants
title_full_unstemmed A mathematical model for strigolactone biosynthesis in plants
title_sort A mathematical model for strigolactone biosynthesis in plants
dc.creator.none.fl_str_mv Lucido, Abel
Basallo, Oriol
Sorribas Tello, Albert
Marin-Sanguino, Alberto
Vilaprinyo Terré, Ester
Alves, Rui
author Lucido, Abel
author_facet Lucido, Abel
Basallo, Oriol
Sorribas Tello, Albert
Marin-Sanguino, Alberto
Vilaprinyo Terré, Ester
Alves, Rui
author_role author
author2 Basallo, Oriol
Sorribas Tello, Albert
Marin-Sanguino, Alberto
Vilaprinyo Terré, Ester
Alves, Rui
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Strigolactones
Arbuscular mycorrhizal fungi
Mathematical modeling
Computational biology
Feedback regulation
Biosynthetic pathway
topic Strigolactones
Arbuscular mycorrhizal fungi
Mathematical modeling
Computational biology
Feedback regulation
Biosynthetic pathway
description Strigolactones mediate plant development, trigger symbiosis with arbuscular mycorrhizal fungi, are abundant in 80% of the plant kingdom and help plants gain resistance to environmental stressors. They also induce germination of parasitic plant seeds that are endemic to various continents, such as Orobanche in Europe or Asia and Striga in Africa. The genes involved in the early stages of strigolactones biosynthesis are known in several plants. The regulatory structure and the latter parts of the pathway, where flux branching occurs to produce alternative strigolactones, are less well-understood. Here we present a computational study that collects the available experimental evidence and proposes alternative biosynthetic pathways that are consistent with that evidence. Then, we test the alternative pathways through in silico simulation experiments and compare those experiments to experimental information. Our results predict the differences in dynamic behavior between alternative pathway designs. Independent of design, the analysis suggests that feedback regulation is unlikely to exist in strigolactone biosynthesis. In addition, our experiments suggest that engineering the pathway to modulate the production of strigolactones could be most easily achieved by increasing the flux of b-carotenes going into the biosynthetic pathway. Finally, we find that changing the ratio of alternative strigolactones produced by the pathway can be done by changing the activity of the enzymes after the flux branching points.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.3389/fpls.2022.979162
http://hdl.handle.net/10459.1/84360
http://hdl.handle.net/10459.1/84360
url https://doi.org/10.3389/fpls.2022.979162
http://hdl.handle.net/10459.1/84360
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a https://doi.org/10.3389/fpls.2022.979162
Frontiers in Plant Science, 2022, vol. 13, art. 979162.
info:eu-repo/grantAgreement/EC/H2020/801586
dc.rights.none.fl_str_mv cc-by (c) Abel Lucido et. al., 2022.
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by (c) Abel Lucido et. al., 2022.
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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