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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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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. |
format | Online Article Text |
id | pubmed-10256231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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