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QTL meta-analysis in Arabidopsis reveals an interaction between leaf senescence and resource allocation to seeds

Sequential and monocarpic senescence are observed at vegetative and reproductive stages, respectively. Both facilitate nitrogen (N) remobilization and control the duration of carbon (C) fixation. Genetic and environmental factors control N and C resource allocation to seeds. Studies of natural varia...

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Autores principales: Chardon, Fabien, Jasinski, Sophie, Durandet, Monique, Lécureuil, Alain, Soulay, Fabienne, Bedu, Magali, Guerche, Philippe, Masclaux-Daubresse, Céline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4106442/
https://www.ncbi.nlm.nih.gov/pubmed/24692652
http://dx.doi.org/10.1093/jxb/eru125
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author Chardon, Fabien
Jasinski, Sophie
Durandet, Monique
Lécureuil, Alain
Soulay, Fabienne
Bedu, Magali
Guerche, Philippe
Masclaux-Daubresse, Céline
author_facet Chardon, Fabien
Jasinski, Sophie
Durandet, Monique
Lécureuil, Alain
Soulay, Fabienne
Bedu, Magali
Guerche, Philippe
Masclaux-Daubresse, Céline
author_sort Chardon, Fabien
collection PubMed
description Sequential and monocarpic senescence are observed at vegetative and reproductive stages, respectively. Both facilitate nitrogen (N) remobilization and control the duration of carbon (C) fixation. Genetic and environmental factors control N and C resource allocation to seeds. Studies of natural variation in Arabidopsis thaliana revealed differences between accessions for leaf senescence phenotypes, seed N and C contents, and N remobilization efficiency-related traits. Here, a quantitative genetics approach was used to gain a better understanding of seed filling regulation in relation to leaf senescence and resource allocation. For that purpose, three Arabidopsis recombinant inbred line populations (Ct-1×Col-0, Cvi-0×Col-0, Bur-0×Col-0) were used to map QTL (quantitative trait loci) for ten traits related to senescence, resource allocation, and seed filling. The use of common markers across the three different maps allowed direct comparisons of the positions of the detected QTL in a single consensus map. QTL meta-analysis was then used to identify interesting regions (metaQTL) where QTL for several traits co-localized. MetaQTL were compared with positions of candidate genes known to be involved in senescence processes and flowering time. Finally, investigation of the correlation between yield and seed N concentration in the three populations suggests that leaf senescence disrupts the negative correlation generally observed between these two traits.
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spelling pubmed-41064422014-07-22 QTL meta-analysis in Arabidopsis reveals an interaction between leaf senescence and resource allocation to seeds Chardon, Fabien Jasinski, Sophie Durandet, Monique Lécureuil, Alain Soulay, Fabienne Bedu, Magali Guerche, Philippe Masclaux-Daubresse, Céline J Exp Bot Research Paper Sequential and monocarpic senescence are observed at vegetative and reproductive stages, respectively. Both facilitate nitrogen (N) remobilization and control the duration of carbon (C) fixation. Genetic and environmental factors control N and C resource allocation to seeds. Studies of natural variation in Arabidopsis thaliana revealed differences between accessions for leaf senescence phenotypes, seed N and C contents, and N remobilization efficiency-related traits. Here, a quantitative genetics approach was used to gain a better understanding of seed filling regulation in relation to leaf senescence and resource allocation. For that purpose, three Arabidopsis recombinant inbred line populations (Ct-1×Col-0, Cvi-0×Col-0, Bur-0×Col-0) were used to map QTL (quantitative trait loci) for ten traits related to senescence, resource allocation, and seed filling. The use of common markers across the three different maps allowed direct comparisons of the positions of the detected QTL in a single consensus map. QTL meta-analysis was then used to identify interesting regions (metaQTL) where QTL for several traits co-localized. MetaQTL were compared with positions of candidate genes known to be involved in senescence processes and flowering time. Finally, investigation of the correlation between yield and seed N concentration in the three populations suggests that leaf senescence disrupts the negative correlation generally observed between these two traits. Oxford University Press 2014-07 2014-04-01 /pmc/articles/PMC4106442/ /pubmed/24692652 http://dx.doi.org/10.1093/jxb/eru125 Text en © The Author 2014. Published by Oxford University Press on behalf of the Society for Experimental Biology. http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Chardon, Fabien
Jasinski, Sophie
Durandet, Monique
Lécureuil, Alain
Soulay, Fabienne
Bedu, Magali
Guerche, Philippe
Masclaux-Daubresse, Céline
QTL meta-analysis in Arabidopsis reveals an interaction between leaf senescence and resource allocation to seeds
title QTL meta-analysis in Arabidopsis reveals an interaction between leaf senescence and resource allocation to seeds
title_full QTL meta-analysis in Arabidopsis reveals an interaction between leaf senescence and resource allocation to seeds
title_fullStr QTL meta-analysis in Arabidopsis reveals an interaction between leaf senescence and resource allocation to seeds
title_full_unstemmed QTL meta-analysis in Arabidopsis reveals an interaction between leaf senescence and resource allocation to seeds
title_short QTL meta-analysis in Arabidopsis reveals an interaction between leaf senescence and resource allocation to seeds
title_sort qtl meta-analysis in arabidopsis reveals an interaction between leaf senescence and resource allocation to seeds
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4106442/
https://www.ncbi.nlm.nih.gov/pubmed/24692652
http://dx.doi.org/10.1093/jxb/eru125
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