Understanding Host–Pathogen Interactions in <i>Brassica napus</i> in the Omics Era

<i>Brassica napus</i> (canola/oilseed rape/rapeseed) is an economically important crop, mostly found in temperate and sub-tropical regions, that is cultivated widely for its edible oil. Major diseases of <i>Brassica</i> crops such as Blackleg, Clubroot, Sclerotinia Stem Rot,...

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Main Authors: Ting Xiang Neik, Junrey Amas, Martin Barbetti, David Edwards, Jacqueline Batley
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Plants
Subjects:
Online Access:https://www.mdpi.com/2223-7747/9/10/1336
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author Ting Xiang Neik
Junrey Amas
Martin Barbetti
David Edwards
Jacqueline Batley
author_facet Ting Xiang Neik
Junrey Amas
Martin Barbetti
David Edwards
Jacqueline Batley
author_sort Ting Xiang Neik
collection DOAJ
description <i>Brassica napus</i> (canola/oilseed rape/rapeseed) is an economically important crop, mostly found in temperate and sub-tropical regions, that is cultivated widely for its edible oil. Major diseases of <i>Brassica</i> crops such as Blackleg, Clubroot, Sclerotinia Stem Rot, Downy Mildew, Alternaria Leaf Spot and White Rust have caused significant yield and economic losses in rapeseed-producing countries worldwide, exacerbated by global climate change, and, if not remedied effectively, will threaten global food security. To gain further insights into the host–pathogen interactions in relation to <i>Brassica</i> diseases, it is critical that we review current knowledge in this area and discuss how omics technologies can offer promising results and help to push boundaries in our understanding of the resistance mechanisms. Omics technologies, such as genomics, proteomics, transcriptomics and metabolomics approaches, allow us to understand the host and pathogen, as well as the interaction between the two species at a deeper level. With these integrated data in multi-omics and systems biology, we are able to breed high-quality disease-resistant <i>Brassica</i> crops in a more holistic, targeted and accurate way.
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spelling doaj.art-b9c5a546a98b4b9ea7761181d596a1112023-11-20T16:35:33ZengMDPI AGPlants2223-77472020-10-01910133610.3390/plants9101336Understanding Host–Pathogen Interactions in <i>Brassica napus</i> in the Omics EraTing Xiang Neik0Junrey Amas1Martin Barbetti2David Edwards3Jacqueline Batley4Sunway College Kuala Lumpur, Bandar Sunway 47500, Selangor, MalaysiaSchool of Biological Sciences and Institute of Agriculture, The University of Western Australia, Perth 6009, AustraliaSchool of Agriculture and Environment and Institute of Agriculture, The University of Western Australia, Perth 6009, AustraliaSchool of Biological Sciences and Institute of Agriculture, The University of Western Australia, Perth 6009, AustraliaSchool of Biological Sciences and Institute of Agriculture, The University of Western Australia, Perth 6009, Australia<i>Brassica napus</i> (canola/oilseed rape/rapeseed) is an economically important crop, mostly found in temperate and sub-tropical regions, that is cultivated widely for its edible oil. Major diseases of <i>Brassica</i> crops such as Blackleg, Clubroot, Sclerotinia Stem Rot, Downy Mildew, Alternaria Leaf Spot and White Rust have caused significant yield and economic losses in rapeseed-producing countries worldwide, exacerbated by global climate change, and, if not remedied effectively, will threaten global food security. To gain further insights into the host–pathogen interactions in relation to <i>Brassica</i> diseases, it is critical that we review current knowledge in this area and discuss how omics technologies can offer promising results and help to push boundaries in our understanding of the resistance mechanisms. Omics technologies, such as genomics, proteomics, transcriptomics and metabolomics approaches, allow us to understand the host and pathogen, as well as the interaction between the two species at a deeper level. With these integrated data in multi-omics and systems biology, we are able to breed high-quality disease-resistant <i>Brassica</i> crops in a more holistic, targeted and accurate way.https://www.mdpi.com/2223-7747/9/10/1336<i>Brassica napus</i>host–pathogen interactionpathosystemsomicsnext-generation sequencing (NGS)pangenomics
spellingShingle Ting Xiang Neik
Junrey Amas
Martin Barbetti
David Edwards
Jacqueline Batley
Understanding Host–Pathogen Interactions in <i>Brassica napus</i> in the Omics Era
Plants
<i>Brassica napus</i>
host–pathogen interaction
pathosystems
omics
next-generation sequencing (NGS)
pangenomics
title Understanding Host–Pathogen Interactions in <i>Brassica napus</i> in the Omics Era
title_full Understanding Host–Pathogen Interactions in <i>Brassica napus</i> in the Omics Era
title_fullStr Understanding Host–Pathogen Interactions in <i>Brassica napus</i> in the Omics Era
title_full_unstemmed Understanding Host–Pathogen Interactions in <i>Brassica napus</i> in the Omics Era
title_short Understanding Host–Pathogen Interactions in <i>Brassica napus</i> in the Omics Era
title_sort understanding host pathogen interactions in i brassica napus i in the omics era
topic <i>Brassica napus</i>
host–pathogen interaction
pathosystems
omics
next-generation sequencing (NGS)
pangenomics
url https://www.mdpi.com/2223-7747/9/10/1336
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