dc.creator | Serrano Bueno, Gloria | es |
dc.creator | Romero Campero, Francisco José | es |
dc.creator | Lucas Reina, Eva | es |
dc.creator | Romero Rodríguez, José María | es |
dc.creator | Valverde, Federico | es |
dc.date.accessioned | 2021-05-28T07:56:40Z | |
dc.date.available | 2021-05-28T07:56:40Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Serrano Bueno, G., Romero Campero, F.J., Lucas Reina, E., Romero, J.M. y Valverde, F. (2017). Evolution of photoperiod sensing in plants and algae. Current Opinion in Plant Biology, 37 (June 2017), 10-17. | |
dc.identifier.issn | 1369-5266 | es |
dc.identifier.uri | https://hdl.handle.net/11441/110927 | |
dc.description.abstract | Measuring day length confers a strong fitness improvement to
photosynthetic organisms as it allows them to anticipate light
phases and take the best decisions preceding diurnal
transitions. In close association with signals from the circadian
clock and the photoreceptors, photoperiodic sensing
constitutes also a precise way to determine the passing of the
seasons and to take annual decisions such as the best time to
flower or the beginning of dormancy. Photoperiodic sensing in
photosynthetic organisms is ancient and two major stages in its
evolution could be identified, the cyanobacterial time sensing
and the evolutionary tool kit that arose in green algae and
developed into the photoperiodic system of modern plants. The
most recent discoveries about the evolution of the perception
of light, measurement of day length and relationship with the
circadian clock along the evolution of the eukaryotic green
lineage will be discussed in this review. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad BIO2011-28847-C02-00 | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad BIO2014-52425-P | es |
dc.format | application/pdf | es |
dc.format.extent | 8 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Current Opinion in Plant Biology, 37 (June 2017), 10-17. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Evolution of photoperiod sensing in plants and algae | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | BIO2011-28847-C02-00 | es |
dc.relation.projectID | BIO2014-52425-P | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S1369526616301686 | es |
dc.identifier.doi | 10.1016/j.pbi.2017.03.007 | es |
dc.journaltitle | Current Opinion in Plant Biology | es |
dc.publication.volumen | 37 | es |
dc.publication.issue | June 2017 | es |
dc.publication.initialPage | 10 | es |
dc.publication.endPage | 17 | es |
dc.identifier.sisius | 21150471 | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |