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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.
Afiliação
  • De Meyer S; Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
  • Cruz DF; VIB Center for Plant Systems Biology, Ghent, Belgium.
  • De Swaef T; Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
  • Lootens P; VIB Center for Plant Systems Biology, Ghent, Belgium.
  • De Block J; Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium.
  • Bird K; Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium.
  • Sprenger H; Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
  • Van de Voorde M; VIB Center for Plant Systems Biology, Ghent, Belgium.
  • Hawinkel S; Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
  • Van Hautegem T; VIB Center for Plant Systems Biology, Ghent, Belgium.
  • Inzé D; Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
  • Nelissen H; VIB Center for Plant Systems Biology, Ghent, Belgium.
  • Roldán-Ruiz I; Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
  • Maere S; VIB Center for Plant Systems Biology, Ghent, Belgium.
PLoS Comput Biol ; 19(5): e1011161, 2023 May.
Article em En | MEDLINE | ID: mdl-37253069
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Brassica napus Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bélgica

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Brassica napus Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bélgica