Intra-leaf modeling of Cannabis leaflet shape produces leaf models that predict genetic and developmental identities

The iconic, palmately compound leaves of Cannabis have attracted significant attention in the past. However, investigations into the genetic basis of leaf shape or its connections to phytochemical composition have yielded inconclusive results. This is partly due to prominent changes in leaflet numbe...

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Autores: Balant, Manica, Garnatje i Roca, Teresa, Vitales Serrano, Daniel, Hidalgo, Oriane, Chitwood, Daniel H.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/218709
Acceso en línea:https://hdl.handle.net/2445/218709
Access Level:acceso abierto
Palabra clave:Cànnabis
Morfologia vegetal
Fulles
Cannabis
Plant morphology
Leaves
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repository_id_str
spelling Intra-leaf modeling of Cannabis leaflet shape produces leaf models that predict genetic and developmental identitiesBalant, ManicaGarnatje i Roca, TeresaVitales Serrano, DanielHidalgo, OrianeChitwood, Daniel H.CànnabisMorfologia vegetalFullesCannabisPlant morphologyLeavesThe iconic, palmately compound leaves of Cannabis have attracted significant attention in the past. However, investigations into the genetic basis of leaf shape or its connections to phytochemical composition have yielded inconclusive results. This is partly due to prominent changes in leaflet number within a single plant during development, which has so far prevented the proper use of common morphometric techniques. Here, we present a new method that overcomes the challenge of nonhomologous landmarks in palmate, pinnate, and lobed leaves, using Cannabis as an example. We model corresponding pseudo-landmarks for each leaflet as angle-radius coordinates and model them as a function of leaflet to create continuous polynomial models, bypassing the problems associated with variable number of leaflets between leaves. We analyze 341 leaves from 24 individuals from nine Cannabis accessions. Using 3591 pseudo-landmarks in modeled leaves, we accurately predict accession identity, leaflet number, and relative node number. Intra-leaf modeling offers a rapid, cost-effective means of identifying Cannabis accessions, making it a valuable tool for future taxonomic studies, cultivar recognition, and possibly chemical content analysis and sex identification, in addition to permitting the morphometric analysis of leaves in any species with variable numbers of leaflets or lobes.New Phytologist Foundation2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://hdl.handle.net/2445/218709Articles publicats en revistes (Biologia, Sanitat i Medi Ambient)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.1111/nph.19817New Phytologist, 2024, vol. 243, pp. 781-796cc by-nc (c) Balant, Manica et al., 2024http://creativecommons.org/licenses/by-nc/3.0/es/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/2187092026-05-27T06:46:51Z
dc.title.none.fl_str_mv Intra-leaf modeling of Cannabis leaflet shape produces leaf models that predict genetic and developmental identities
title Intra-leaf modeling of Cannabis leaflet shape produces leaf models that predict genetic and developmental identities
spellingShingle Intra-leaf modeling of Cannabis leaflet shape produces leaf models that predict genetic and developmental identities
Balant, Manica
Cànnabis
Morfologia vegetal
Fulles
Cannabis
Plant morphology
Leaves
title_short Intra-leaf modeling of Cannabis leaflet shape produces leaf models that predict genetic and developmental identities
title_full Intra-leaf modeling of Cannabis leaflet shape produces leaf models that predict genetic and developmental identities
title_fullStr Intra-leaf modeling of Cannabis leaflet shape produces leaf models that predict genetic and developmental identities
title_full_unstemmed Intra-leaf modeling of Cannabis leaflet shape produces leaf models that predict genetic and developmental identities
title_sort Intra-leaf modeling of Cannabis leaflet shape produces leaf models that predict genetic and developmental identities
dc.creator.none.fl_str_mv Balant, Manica
Garnatje i Roca, Teresa
Vitales Serrano, Daniel
Hidalgo, Oriane
Chitwood, Daniel H.
author Balant, Manica
author_facet Balant, Manica
Garnatje i Roca, Teresa
Vitales Serrano, Daniel
Hidalgo, Oriane
Chitwood, Daniel H.
author_role author
author2 Garnatje i Roca, Teresa
Vitales Serrano, Daniel
Hidalgo, Oriane
Chitwood, Daniel H.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Cànnabis
Morfologia vegetal
Fulles
Cannabis
Plant morphology
Leaves
topic Cànnabis
Morfologia vegetal
Fulles
Cannabis
Plant morphology
Leaves
description The iconic, palmately compound leaves of Cannabis have attracted significant attention in the past. However, investigations into the genetic basis of leaf shape or its connections to phytochemical composition have yielded inconclusive results. This is partly due to prominent changes in leaflet number within a single plant during development, which has so far prevented the proper use of common morphometric techniques. Here, we present a new method that overcomes the challenge of nonhomologous landmarks in palmate, pinnate, and lobed leaves, using Cannabis as an example. We model corresponding pseudo-landmarks for each leaflet as angle-radius coordinates and model them as a function of leaflet to create continuous polynomial models, bypassing the problems associated with variable number of leaflets between leaves. We analyze 341 leaves from 24 individuals from nine Cannabis accessions. Using 3591 pseudo-landmarks in modeled leaves, we accurately predict accession identity, leaflet number, and relative node number. Intra-leaf modeling offers a rapid, cost-effective means of identifying Cannabis accessions, making it a valuable tool for future taxonomic studies, cultivar recognition, and possibly chemical content analysis and sex identification, in addition to permitting the morphometric analysis of leaves in any species with variable numbers of leaflets or lobes.
publishDate 2024
dc.date.none.fl_str_mv 2024
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://hdl.handle.net/2445/218709
url https://hdl.handle.net/2445/218709
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/10.1111/nph.19817
New Phytologist, 2024, vol. 243, pp. 781-796
dc.rights.none.fl_str_mv cc by-nc (c) Balant, Manica et al., 2024
http://creativecommons.org/licenses/by-nc/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc by-nc (c) Balant, Manica et al., 2024
http://creativecommons.org/licenses/by-nc/3.0/es/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv New Phytologist Foundation
publisher.none.fl_str_mv New Phytologist Foundation
dc.source.none.fl_str_mv Articles publicats en revistes (Biologia, Sanitat i Medi Ambient)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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