Shaping the Organ: A Biologist Guide to Quantitative Models of Plant Morphogenesis

17 Pag. Centro de Biotecnología y Genómica de Plantas

Detalhes bibliográficos
Autores: Marconi, Marco, Wabnik, Krzysztof
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2021
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/286970
Acesso em linha:http://hdl.handle.net/10261/286970
https://api.elsevier.com/content/abstract/scopus_id/85117512368
Access Level:Acceso aberto
Palavra-chave:L-systems
Cell complex
Computational modeling
Finite element method
Plant development
Plant morphogenesis
Position based dynamics
id ES_d1ecc611fc41264a2bb89a37cf4cf9bf
oai_identifier_str oai:digital.csic.es:10261/286970
network_acronym_str ES
network_name_str España
repository_id_str
spelling Shaping the Organ: A Biologist Guide to Quantitative Models of Plant MorphogenesisMarconi, MarcoWabnik, KrzysztofL-systemsCell complexComputational modelingFinite element methodPlant developmentPlant morphogenesisPosition based dynamics17 Pag. Centro de Biotecnología y Genómica de PlantasOrgan morphogenesis is the process of shape acquisition initiated with a small reservoir of undifferentiated cells. In plants, morphogenesis is a complex endeavor that comprises a large number of interacting elements, including mechanical stimuli, biochemical signaling, and genetic prerequisites. Because of the large body of data being produced by modern laboratories, solving this complexity requires the application of computational techniques and analyses. In the last two decades, computational models combined with wet-lab experiments have advanced our understanding of plant organ morphogenesis. Here, we provide a comprehensive review of the most important achievements in the field of computational plant morphodynamics. We present a brief history from the earliest attempts to describe plant forms using algorithmic pattern generation to the evolution of quantitative cell-based models fueled by increasing computational power. We then provide an overview of the most common types of "digital plant" paradigms, and demonstrate how models benefit from diverse techniques used to describe cell growth mechanics. Finally, we highlight the development of computational frameworks designed to resolve organ shape complexity through integration of mechanical, biochemical, and genetic cues into a quantitative standardized and user-friendly environment.This work was supported by the Programa de Atraccion de Talento 2017 (Comunidad de Madrid, 2017-T1/BIO-5654 to KW), Severo Ochoa (SO) Programme for Centres of Excellence in R&D from the Agencia Estatal de Investigacion of Spain [grant SEV-2016-0672 (2017–2021) to KW via the CBGP]. In the frame of SEV-2016-0672 funding MM is supported with a postdoctoral contract. KW was supported by Programa Estatal de Generacion del Conocimiento y Fortalecimiento Cientıfico y Tecnologico del Sistema de I+D+I 2019 (PGC2018-093387-A407-I00) from MICIU (to KW)Peer reviewedFrontiers MediaComunidad de MadridAgencia Estatal de Investigación (España)Ministerio de Ciencia, Innovación y Universidades (España)Marconi, Marco [0000-0002-3457-1384]Wabnik, Krzysztof [0000-0001-7263-0560]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232021info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/286970https://api.elsevier.com/content/abstract/scopus_id/85117512368reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#S2017/T-BIO-5654info:eu-repo/grantAgreement/AEI/SEV-2016-0672/info:eu-repo/grantAgreement/MICIU/PGC2018-093387-A407-I00/Frontiers in plant sciencehttps://doi.org/10.3389/fpls.2021.746183Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2869702026-05-22T06:33:51Z
dc.title.none.fl_str_mv Shaping the Organ: A Biologist Guide to Quantitative Models of Plant Morphogenesis
title Shaping the Organ: A Biologist Guide to Quantitative Models of Plant Morphogenesis
spellingShingle Shaping the Organ: A Biologist Guide to Quantitative Models of Plant Morphogenesis
Marconi, Marco
L-systems
Cell complex
Computational modeling
Finite element method
Plant development
Plant morphogenesis
Position based dynamics
title_short Shaping the Organ: A Biologist Guide to Quantitative Models of Plant Morphogenesis
title_full Shaping the Organ: A Biologist Guide to Quantitative Models of Plant Morphogenesis
title_fullStr Shaping the Organ: A Biologist Guide to Quantitative Models of Plant Morphogenesis
title_full_unstemmed Shaping the Organ: A Biologist Guide to Quantitative Models of Plant Morphogenesis
title_sort Shaping the Organ: A Biologist Guide to Quantitative Models of Plant Morphogenesis
dc.creator.none.fl_str_mv Marconi, Marco
Wabnik, Krzysztof
author Marconi, Marco
author_facet Marconi, Marco
Wabnik, Krzysztof
author_role author
author2 Wabnik, Krzysztof
author2_role author
dc.contributor.none.fl_str_mv Comunidad de Madrid
Agencia Estatal de Investigación (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Marconi, Marco [0000-0002-3457-1384]
Wabnik, Krzysztof [0000-0001-7263-0560]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv L-systems
Cell complex
Computational modeling
Finite element method
Plant development
Plant morphogenesis
Position based dynamics
topic L-systems
Cell complex
Computational modeling
Finite element method
Plant development
Plant morphogenesis
Position based dynamics
description 17 Pag. Centro de Biotecnología y Genómica de Plantas
publishDate 2021
dc.date.none.fl_str_mv 2021
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/286970
https://api.elsevier.com/content/abstract/scopus_id/85117512368
url http://hdl.handle.net/10261/286970
https://api.elsevier.com/content/abstract/scopus_id/85117512368
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
S2017/T-BIO-5654
info:eu-repo/grantAgreement/AEI/SEV-2016-0672/
info:eu-repo/grantAgreement/MICIU/PGC2018-093387-A407-I00/
Frontiers in plant science
https://doi.org/10.3389/fpls.2021.746183
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869420305165844480
score 15.812429

Registros relacionados