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High-density genetic map and identification of QTLs for responses to temperature and salinity stresses in the model brown alga Ectocarpus

Deciphering the genetic architecture of adaptation of brown algae to environmental stresses such as temperature and salinity is of evolutionary as well as of practical interest. The filamentous brown alga Ectocarpus sp. is a model for the brown algae and its genome has been sequenced. As sessile org...

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Autores principales: Avia, Komlan, Coelho, Susana M., Montecinos, Gabriel J., Cormier, Alexandre, Lerck, Fiona, Mauger, Stéphane, Faugeron, Sylvain, Valero, Myriam, Cock, J. Mark, Boudry, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335252/
https://www.ncbi.nlm.nih.gov/pubmed/28256542
http://dx.doi.org/10.1038/srep43241
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author Avia, Komlan
Coelho, Susana M.
Montecinos, Gabriel J.
Cormier, Alexandre
Lerck, Fiona
Mauger, Stéphane
Faugeron, Sylvain
Valero, Myriam
Cock, J. Mark
Boudry, Pierre
author_facet Avia, Komlan
Coelho, Susana M.
Montecinos, Gabriel J.
Cormier, Alexandre
Lerck, Fiona
Mauger, Stéphane
Faugeron, Sylvain
Valero, Myriam
Cock, J. Mark
Boudry, Pierre
author_sort Avia, Komlan
collection PubMed
description Deciphering the genetic architecture of adaptation of brown algae to environmental stresses such as temperature and salinity is of evolutionary as well as of practical interest. The filamentous brown alga Ectocarpus sp. is a model for the brown algae and its genome has been sequenced. As sessile organisms, brown algae need to be capable of resisting the various abiotic stressors that act in the intertidal zone (e.g. osmotic pressure, temperature, salinity, UV radiation) and previous studies have shown that an important proportion of the expressed genes is regulated in response to hyposaline, hypersaline or oxidative stress conditions. Using the double digest RAD sequencing method, we constructed a dense genetic map with 3,588 SNP markers and identified 39 QTLs for growth-related traits and their plasticity under different temperature and salinity conditions (tolerance to high temperature and low salinity). GO enrichment tests within QTL intervals highlighted membrane transport processes such as ion transporters. Our study represents a significant step towards deciphering the genetic basis of adaptation of Ectocarpus sp. to stress conditions and provides a substantial resource to the increasing list of tools generated for the species.
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spelling pubmed-53352522017-03-07 High-density genetic map and identification of QTLs for responses to temperature and salinity stresses in the model brown alga Ectocarpus Avia, Komlan Coelho, Susana M. Montecinos, Gabriel J. Cormier, Alexandre Lerck, Fiona Mauger, Stéphane Faugeron, Sylvain Valero, Myriam Cock, J. Mark Boudry, Pierre Sci Rep Article Deciphering the genetic architecture of adaptation of brown algae to environmental stresses such as temperature and salinity is of evolutionary as well as of practical interest. The filamentous brown alga Ectocarpus sp. is a model for the brown algae and its genome has been sequenced. As sessile organisms, brown algae need to be capable of resisting the various abiotic stressors that act in the intertidal zone (e.g. osmotic pressure, temperature, salinity, UV radiation) and previous studies have shown that an important proportion of the expressed genes is regulated in response to hyposaline, hypersaline or oxidative stress conditions. Using the double digest RAD sequencing method, we constructed a dense genetic map with 3,588 SNP markers and identified 39 QTLs for growth-related traits and their plasticity under different temperature and salinity conditions (tolerance to high temperature and low salinity). GO enrichment tests within QTL intervals highlighted membrane transport processes such as ion transporters. Our study represents a significant step towards deciphering the genetic basis of adaptation of Ectocarpus sp. to stress conditions and provides a substantial resource to the increasing list of tools generated for the species. Nature Publishing Group 2017-03-03 /pmc/articles/PMC5335252/ /pubmed/28256542 http://dx.doi.org/10.1038/srep43241 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Avia, Komlan
Coelho, Susana M.
Montecinos, Gabriel J.
Cormier, Alexandre
Lerck, Fiona
Mauger, Stéphane
Faugeron, Sylvain
Valero, Myriam
Cock, J. Mark
Boudry, Pierre
High-density genetic map and identification of QTLs for responses to temperature and salinity stresses in the model brown alga Ectocarpus
title High-density genetic map and identification of QTLs for responses to temperature and salinity stresses in the model brown alga Ectocarpus
title_full High-density genetic map and identification of QTLs for responses to temperature and salinity stresses in the model brown alga Ectocarpus
title_fullStr High-density genetic map and identification of QTLs for responses to temperature and salinity stresses in the model brown alga Ectocarpus
title_full_unstemmed High-density genetic map and identification of QTLs for responses to temperature and salinity stresses in the model brown alga Ectocarpus
title_short High-density genetic map and identification of QTLs for responses to temperature and salinity stresses in the model brown alga Ectocarpus
title_sort high-density genetic map and identification of qtls for responses to temperature and salinity stresses in the model brown alga ectocarpus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335252/
https://www.ncbi.nlm.nih.gov/pubmed/28256542
http://dx.doi.org/10.1038/srep43241
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