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Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression

In the plant sciences, results of laboratory studies often do not translate well to the field. To help close this lab-field gap, we developed a strategy for studying the wiring of plant traits directly in the field, based on molecular profiling and phenotyping of individual plants. Here, we use this...

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Autores principales: De Meyer, Sam, Cruz, Daniel Felipe, De Swaef, Tom, Lootens, Peter, De Block, Jolien, Bird, Kevin, Sprenger, Heike, Van de Voorde, Michael, Hawinkel, Stijn, Van Hautegem, Tom, Inzé, Dirk, Nelissen, Hilde, Roldán-Ruiz, Isabel, Maere, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256231/
https://www.ncbi.nlm.nih.gov/pubmed/37253069
http://dx.doi.org/10.1371/journal.pcbi.1011161
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author De Meyer, Sam
Cruz, Daniel Felipe
De Swaef, Tom
Lootens, Peter
De Block, Jolien
Bird, Kevin
Sprenger, Heike
Van de Voorde, Michael
Hawinkel, Stijn
Van Hautegem, Tom
Inzé, Dirk
Nelissen, Hilde
Roldán-Ruiz, Isabel
Maere, Steven
author_facet De Meyer, Sam
Cruz, Daniel Felipe
De Swaef, Tom
Lootens, Peter
De Block, Jolien
Bird, Kevin
Sprenger, Heike
Van de Voorde, Michael
Hawinkel, Stijn
Van Hautegem, Tom
Inzé, Dirk
Nelissen, Hilde
Roldán-Ruiz, Isabel
Maere, Steven
author_sort De Meyer, Sam
collection PubMed
description In the plant sciences, results of laboratory studies often do not translate well to the field. To help close this lab-field gap, we developed a strategy for studying the wiring of plant traits directly in the field, based on molecular profiling and phenotyping of individual plants. Here, we use this single-plant omics strategy on winter-type Brassica napus (rapeseed). We investigate to what extent early and late phenotypes of field-grown rapeseed plants can be predicted from their autumnal leaf gene expression, and find that autumnal leaf gene expression not only has substantial predictive power for autumnal leaf phenotypes but also for final yield phenotypes in spring. Many of the top predictor genes are linked to developmental processes known to occur in autumn in winter-type B. napus accessions, such as the juvenile-to-adult and vegetative-to-reproductive phase transitions, indicating that the yield potential of winter-type B. napus is influenced by autumnal development. Our results show that single-plant omics can be used to identify genes and processes influencing crop yield in the field.
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spelling pubmed-102562312023-06-10 Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression De Meyer, Sam Cruz, Daniel Felipe De Swaef, Tom Lootens, Peter De Block, Jolien Bird, Kevin Sprenger, Heike Van de Voorde, Michael Hawinkel, Stijn Van Hautegem, Tom Inzé, Dirk Nelissen, Hilde Roldán-Ruiz, Isabel Maere, Steven PLoS Comput Biol Research Article In the plant sciences, results of laboratory studies often do not translate well to the field. To help close this lab-field gap, we developed a strategy for studying the wiring of plant traits directly in the field, based on molecular profiling and phenotyping of individual plants. Here, we use this single-plant omics strategy on winter-type Brassica napus (rapeseed). We investigate to what extent early and late phenotypes of field-grown rapeseed plants can be predicted from their autumnal leaf gene expression, and find that autumnal leaf gene expression not only has substantial predictive power for autumnal leaf phenotypes but also for final yield phenotypes in spring. Many of the top predictor genes are linked to developmental processes known to occur in autumn in winter-type B. napus accessions, such as the juvenile-to-adult and vegetative-to-reproductive phase transitions, indicating that the yield potential of winter-type B. napus is influenced by autumnal development. Our results show that single-plant omics can be used to identify genes and processes influencing crop yield in the field. Public Library of Science 2023-05-30 /pmc/articles/PMC10256231/ /pubmed/37253069 http://dx.doi.org/10.1371/journal.pcbi.1011161 Text en © 2023 De Meyer et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
De Meyer, Sam
Cruz, Daniel Felipe
De Swaef, Tom
Lootens, Peter
De Block, Jolien
Bird, Kevin
Sprenger, Heike
Van de Voorde, Michael
Hawinkel, Stijn
Van Hautegem, Tom
Inzé, Dirk
Nelissen, Hilde
Roldán-Ruiz, Isabel
Maere, Steven
Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression
title Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression
title_full Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression
title_fullStr Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression
title_full_unstemmed Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression
title_short Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression
title_sort predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256231/
https://www.ncbi.nlm.nih.gov/pubmed/37253069
http://dx.doi.org/10.1371/journal.pcbi.1011161
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