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Understanding developmental and adaptive cues in pine through metabolite profiling and co-expression network analysis

Conifers include long-lived evergreen trees of great economic and ecological importance, including pines and spruces. During their long lives conifers must respond to seasonal environmental changes, adapt to unpredictable environmental stresses, and co-ordinate their adaptive adjustments with intern...

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Autores principales: Cañas, Rafael A., Canales, Javier, Muñoz-Hernández, Carmen, Granados, Jose M., Ávila, Concepción, García-Martín, María L., Cánovas, Francisco M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449534/
https://www.ncbi.nlm.nih.gov/pubmed/25873654
http://dx.doi.org/10.1093/jxb/erv118
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author Cañas, Rafael A.
Canales, Javier
Muñoz-Hernández, Carmen
Granados, Jose M.
Ávila, Concepción
García-Martín, María L.
Cánovas, Francisco M.
author_facet Cañas, Rafael A.
Canales, Javier
Muñoz-Hernández, Carmen
Granados, Jose M.
Ávila, Concepción
García-Martín, María L.
Cánovas, Francisco M.
author_sort Cañas, Rafael A.
collection PubMed
description Conifers include long-lived evergreen trees of great economic and ecological importance, including pines and spruces. During their long lives conifers must respond to seasonal environmental changes, adapt to unpredictable environmental stresses, and co-ordinate their adaptive adjustments with internal developmental programmes. To gain insights into these responses, we examined metabolite and transcriptomic profiles of needles from naturally growing 25-year-old maritime pine (Pinus pinaster L. Aiton) trees over a year. The effect of environmental parameters such as temperature and rain on needle development were studied. Our results show that seasonal changes in the metabolite profiles were mainly affected by the needles’ age and acclimation for winter, but changes in transcript profiles were mainly dependent on climatic factors. The relative abundance of most transcripts correlated well with temperature, particularly for genes involved in photosynthesis or winter acclimation. Gene network analysis revealed relationships between 14 co-expressed gene modules and development and adaptation to environmental stimuli. Novel Myb transcription factors were identified as candidate regulators during needle development. Our systems-based analysis provides integrated data of the seasonal regulation of maritime pine growth, opening new perspectives for understanding the complex regulatory mechanisms underlying conifers’ adaptive responses. Taken together, our results suggest that the environment regulates the transcriptome for fine tuning of the metabolome during development.
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spelling pubmed-44495342015-06-05 Understanding developmental and adaptive cues in pine through metabolite profiling and co-expression network analysis Cañas, Rafael A. Canales, Javier Muñoz-Hernández, Carmen Granados, Jose M. Ávila, Concepción García-Martín, María L. Cánovas, Francisco M. J Exp Bot Research Paper Conifers include long-lived evergreen trees of great economic and ecological importance, including pines and spruces. During their long lives conifers must respond to seasonal environmental changes, adapt to unpredictable environmental stresses, and co-ordinate their adaptive adjustments with internal developmental programmes. To gain insights into these responses, we examined metabolite and transcriptomic profiles of needles from naturally growing 25-year-old maritime pine (Pinus pinaster L. Aiton) trees over a year. The effect of environmental parameters such as temperature and rain on needle development were studied. Our results show that seasonal changes in the metabolite profiles were mainly affected by the needles’ age and acclimation for winter, but changes in transcript profiles were mainly dependent on climatic factors. The relative abundance of most transcripts correlated well with temperature, particularly for genes involved in photosynthesis or winter acclimation. Gene network analysis revealed relationships between 14 co-expressed gene modules and development and adaptation to environmental stimuli. Novel Myb transcription factors were identified as candidate regulators during needle development. Our systems-based analysis provides integrated data of the seasonal regulation of maritime pine growth, opening new perspectives for understanding the complex regulatory mechanisms underlying conifers’ adaptive responses. Taken together, our results suggest that the environment regulates the transcriptome for fine tuning of the metabolome during development. Oxford University Press 2015-06 2015-04-01 /pmc/articles/PMC4449534/ /pubmed/25873654 http://dx.doi.org/10.1093/jxb/erv118 Text en © The Author 2015. 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
Cañas, Rafael A.
Canales, Javier
Muñoz-Hernández, Carmen
Granados, Jose M.
Ávila, Concepción
García-Martín, María L.
Cánovas, Francisco M.
Understanding developmental and adaptive cues in pine through metabolite profiling and co-expression network analysis
title Understanding developmental and adaptive cues in pine through metabolite profiling and co-expression network analysis
title_full Understanding developmental and adaptive cues in pine through metabolite profiling and co-expression network analysis
title_fullStr Understanding developmental and adaptive cues in pine through metabolite profiling and co-expression network analysis
title_full_unstemmed Understanding developmental and adaptive cues in pine through metabolite profiling and co-expression network analysis
title_short Understanding developmental and adaptive cues in pine through metabolite profiling and co-expression network analysis
title_sort understanding developmental and adaptive cues in pine through metabolite profiling and co-expression network analysis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449534/
https://www.ncbi.nlm.nih.gov/pubmed/25873654
http://dx.doi.org/10.1093/jxb/erv118
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