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Genome-Wide Association Studies In Plant Pathosystems: Toward an Ecological Genomics Approach

The emergence and re-emergence of plant pathogenic microorganisms are processes that imply perturbations in both host and pathogen ecological niches. Global change is largely assumed to drive the emergence of new etiological agents by altering the equilibrium of the ecological habitats which in turn...

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Autores principales: Bartoli, Claudia, Roux, Fabrice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441063/
https://www.ncbi.nlm.nih.gov/pubmed/28588588
http://dx.doi.org/10.3389/fpls.2017.00763
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author Bartoli, Claudia
Roux, Fabrice
author_facet Bartoli, Claudia
Roux, Fabrice
author_sort Bartoli, Claudia
collection PubMed
description The emergence and re-emergence of plant pathogenic microorganisms are processes that imply perturbations in both host and pathogen ecological niches. Global change is largely assumed to drive the emergence of new etiological agents by altering the equilibrium of the ecological habitats which in turn places hosts more in contact with pathogen reservoirs. In this context, the number of epidemics is expected to increase dramatically in the next coming decades both in wild and crop plants. Under these considerations, the identification of the genetic variants underlying natural variation of resistance is a pre-requisite to estimate the adaptive potential of wild plant populations and to develop new breeding resistant cultivars. On the other hand, the prediction of pathogen's genetic determinants underlying disease emergence can help to identify plant resistance alleles. In the genomic era, whole genome sequencing combined with the development of statistical methods led to the emergence of Genome Wide Association (GWA) mapping, a powerful tool for detecting genomic regions associated with natural variation of disease resistance in both wild and cultivated plants. However, GWA mapping has been less employed for the detection of genetic variants associated with pathogenicity in microbes. Here, we reviewed GWA studies performed either in plants or in pathogenic microorganisms (bacteria, fungi and oomycetes). In addition, we highlighted the benefits and caveats of the emerging joint GWA mapping approach that allows for the simultaneous identification of genes interacting between genomes of both partners. Finally, based on co-evolutionary processes in wild populations, we highlighted a phenotyping-free joint GWA mapping approach as a promising tool for describing the molecular landscape underlying plant - microbe interactions.
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spelling pubmed-54410632017-06-06 Genome-Wide Association Studies In Plant Pathosystems: Toward an Ecological Genomics Approach Bartoli, Claudia Roux, Fabrice Front Plant Sci Plant Science The emergence and re-emergence of plant pathogenic microorganisms are processes that imply perturbations in both host and pathogen ecological niches. Global change is largely assumed to drive the emergence of new etiological agents by altering the equilibrium of the ecological habitats which in turn places hosts more in contact with pathogen reservoirs. In this context, the number of epidemics is expected to increase dramatically in the next coming decades both in wild and crop plants. Under these considerations, the identification of the genetic variants underlying natural variation of resistance is a pre-requisite to estimate the adaptive potential of wild plant populations and to develop new breeding resistant cultivars. On the other hand, the prediction of pathogen's genetic determinants underlying disease emergence can help to identify plant resistance alleles. In the genomic era, whole genome sequencing combined with the development of statistical methods led to the emergence of Genome Wide Association (GWA) mapping, a powerful tool for detecting genomic regions associated with natural variation of disease resistance in both wild and cultivated plants. However, GWA mapping has been less employed for the detection of genetic variants associated with pathogenicity in microbes. Here, we reviewed GWA studies performed either in plants or in pathogenic microorganisms (bacteria, fungi and oomycetes). In addition, we highlighted the benefits and caveats of the emerging joint GWA mapping approach that allows for the simultaneous identification of genes interacting between genomes of both partners. Finally, based on co-evolutionary processes in wild populations, we highlighted a phenotyping-free joint GWA mapping approach as a promising tool for describing the molecular landscape underlying plant - microbe interactions. Frontiers Media S.A. 2017-05-23 /pmc/articles/PMC5441063/ /pubmed/28588588 http://dx.doi.org/10.3389/fpls.2017.00763 Text en Copyright © 2017 Bartoli and Roux. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Bartoli, Claudia
Roux, Fabrice
Genome-Wide Association Studies In Plant Pathosystems: Toward an Ecological Genomics Approach
title Genome-Wide Association Studies In Plant Pathosystems: Toward an Ecological Genomics Approach
title_full Genome-Wide Association Studies In Plant Pathosystems: Toward an Ecological Genomics Approach
title_fullStr Genome-Wide Association Studies In Plant Pathosystems: Toward an Ecological Genomics Approach
title_full_unstemmed Genome-Wide Association Studies In Plant Pathosystems: Toward an Ecological Genomics Approach
title_short Genome-Wide Association Studies In Plant Pathosystems: Toward an Ecological Genomics Approach
title_sort genome-wide association studies in plant pathosystems: toward an ecological genomics approach
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441063/
https://www.ncbi.nlm.nih.gov/pubmed/28588588
http://dx.doi.org/10.3389/fpls.2017.00763
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AT rouxfabrice genomewideassociationstudiesinplantpathosystemstowardanecologicalgenomicsapproach