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Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population

BACKGROUND: To sustain the global requirements for food and renewable resources, unraveling the molecular networks underlying plant growth is becoming pivotal. Although several approaches to identify genes and networks involved in final organ size have been proven successful, our understanding remai...

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Autores principales: Baute, Joke, Herman, Dorota, Coppens, Frederik, De Block, Jolien, Slabbinck, Bram, Dell’Acqua, Matteo, Pè, Mario Enrico, Maere, Steven, Nelissen, Hilde, Inzé, Dirk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4566308/
https://www.ncbi.nlm.nih.gov/pubmed/26357925
http://dx.doi.org/10.1186/s13059-015-0735-9
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author Baute, Joke
Herman, Dorota
Coppens, Frederik
De Block, Jolien
Slabbinck, Bram
Dell’Acqua, Matteo
Pè, Mario Enrico
Maere, Steven
Nelissen, Hilde
Inzé, Dirk
author_facet Baute, Joke
Herman, Dorota
Coppens, Frederik
De Block, Jolien
Slabbinck, Bram
Dell’Acqua, Matteo
Pè, Mario Enrico
Maere, Steven
Nelissen, Hilde
Inzé, Dirk
author_sort Baute, Joke
collection PubMed
description BACKGROUND: To sustain the global requirements for food and renewable resources, unraveling the molecular networks underlying plant growth is becoming pivotal. Although several approaches to identify genes and networks involved in final organ size have been proven successful, our understanding remains fragmentary. RESULTS: Here, we assessed variation in 103 lines of the Zea mays B73xH99 RIL population for a set of final leaf size and whole shoot traits at the seedling stage, complemented with measurements capturing growth dynamics, and cellular measurements. Most traits correlated well with the size of the division zone, implying that the molecular basis of final leaf size is already defined in dividing cells of growing leaves. Therefore, we searched for association between the transcriptional variation in dividing cells of the growing leaf and final leaf size and seedling biomass, allowing us to identify genes and processes correlated with the specific traits. A number of these genes have a known function in leaf development. Additionally, we illustrated that two independent mechanisms contribute to final leaf size, maximal growth rate and the duration of growth. CONCLUSIONS: Untangling complex traits such as leaf size by applying in-depth phenotyping allows us to define the relative contributions of the components and their mutual associations, facilitating dissection of the biological processes and regulatory networks underneath. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0735-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-45663082015-09-12 Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population Baute, Joke Herman, Dorota Coppens, Frederik De Block, Jolien Slabbinck, Bram Dell’Acqua, Matteo Pè, Mario Enrico Maere, Steven Nelissen, Hilde Inzé, Dirk Genome Biol Research BACKGROUND: To sustain the global requirements for food and renewable resources, unraveling the molecular networks underlying plant growth is becoming pivotal. Although several approaches to identify genes and networks involved in final organ size have been proven successful, our understanding remains fragmentary. RESULTS: Here, we assessed variation in 103 lines of the Zea mays B73xH99 RIL population for a set of final leaf size and whole shoot traits at the seedling stage, complemented with measurements capturing growth dynamics, and cellular measurements. Most traits correlated well with the size of the division zone, implying that the molecular basis of final leaf size is already defined in dividing cells of growing leaves. Therefore, we searched for association between the transcriptional variation in dividing cells of the growing leaf and final leaf size and seedling biomass, allowing us to identify genes and processes correlated with the specific traits. A number of these genes have a known function in leaf development. Additionally, we illustrated that two independent mechanisms contribute to final leaf size, maximal growth rate and the duration of growth. CONCLUSIONS: Untangling complex traits such as leaf size by applying in-depth phenotyping allows us to define the relative contributions of the components and their mutual associations, facilitating dissection of the biological processes and regulatory networks underneath. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0735-9) contains supplementary material, which is available to authorized users. BioMed Central 2015-09-11 2015 /pmc/articles/PMC4566308/ /pubmed/26357925 http://dx.doi.org/10.1186/s13059-015-0735-9 Text en © Baute et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Baute, Joke
Herman, Dorota
Coppens, Frederik
De Block, Jolien
Slabbinck, Bram
Dell’Acqua, Matteo
Pè, Mario Enrico
Maere, Steven
Nelissen, Hilde
Inzé, Dirk
Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population
title Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population
title_full Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population
title_fullStr Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population
title_full_unstemmed Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population
title_short Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population
title_sort correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize ril population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4566308/
https://www.ncbi.nlm.nih.gov/pubmed/26357925
http://dx.doi.org/10.1186/s13059-015-0735-9
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