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Comparative genomic analysis of Clubroot resistance in the Brassicaceae family

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HAL Id: hal-01391707

https://hal.inria.fr/hal-01391707

Submitted on 3 Nov 2016

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Comparative genomic analysis of Clubroot resistance in

the Brassicaceae family

Aurélie Evrard, Charles Bettembourg, Olivier Dameron, Olivier Filangi,

Anthony Bretaudeau, Fabrice Legeai, Regine Delourme, Maria

Manzanares-Dauleux, Mélanie Jubault

To cite this version:

Aurélie Evrard, Charles Bettembourg, Olivier Dameron, Olivier Filangi, Anthony Bretaudeau, et al..

Comparative genomic analysis of Clubroot resistance in the Brassicaceae family. Brassica2016, Oct

2016, Melbourne, Australia. �hal-01391707�

(2)

Clubroot comparative genomics

 Major genes and quantitative trait loci (QTL) with high or moderate effect for resistance to various P. brassicae isolates identified in the four species were recorded.

 “Quartet” gene sets (B. rapa,B. oleracea, B. napus subgenomes A and C) and their Arabidopsis ortholog were retrieved from Chalhloub et al (2014) and were completed through BlastP analysis between B. rapa, B. oleracea and Arabidopsis protein databases.

 Gene sets underlying each QTL in each species were identified and compared, which allowed the identification of common and ‘missing’ genes between species (Fig.1).

 The comparison of the physical location of these common genes

showed the synteny relationships between Arabidopsis and

BrassicaQTLs (Fig.2).

Prospects

Integration of structural and functional data is going on and results will be examined to infer evolutionary patterns and consequences for the construction of durable resistant varieties.

REFERENCES

Chalhoubet al(2014)Science,345: 950-953 Chenget al(2013)The Plant Cell,25: 1541-1554

Lysaket al(2016)Current Opinion in Plant Biology,30:108–115 Masonet al(2016)Genetics,202: 513–523

Comparative genomic analysis

of Clubroot resistance

in the Brassicaceae family

A. Evrard

1

, C. Bettembourg

2

, O. Dameron

2

, O. Filangi

1

, A. Bretaudeau

1

,

F. Legeai

1

, R. Delourme

1

, M. J. Manzanares-Dauleux

1

, M. Jubault

1

1AGROCAMPUS OUEST, INRA, Université Rennes 1, UMR1349 IGEPP • BP 35327 • F- 35653 Le Rheu cedex, France 2CNRS, INRIA, Université Rennes 1, UMR IRISA, DYLISS, Campus de Beaulieu • F-35000 Rennes, France

http://www.inra.rennes.fr/igepp Introduction

Clubroot, caused by the obligate biotrophPlasmodiophora brassicae, is one of the economically most important diseases of Brassica crops in the world including B. oleracea(coles), B. napus(oilseed rape) andB. rapa(turnip). The breeding of resistant cultivars is currently a main goal to control this disease in all Brassica crops. Very few resistant varieties are currently available especially for coles and oilseed rape. The model plantArabidopsis thalianais also a host for clubroot and shows natural variation in the responses to clubroot infection.

Genetical genomics analyses of the plant response to clubroot infection are in progress in our team in order to determine which structural and functional characteristics of the resistance factors have to be taken into account to build resistant varieties in a complex environment. The aim of the present work was to investigate synteny of the regions carrying resistance factors to clubroot through a comparative structural study in the three Brassica crops (B. napus,B. oleraceaandB. rapa) and in the model speciesA. thalianaand to identify underlying candidate genes.

Integration and query of Clubroot datasets with Semantic Web technologies : AskOmics

This work was supported by the French ‘Institut National de la Recherche Agronomique’ (INRA) and Brittany region.

AskOmics is a tool supporting both intuitive data integration and querying

while shielding the user from most of the technical difficulties underlying RDF and SPARQL

Still under development @https://github.com/askomics/askomics

AskOmics advantages:

• Simple and automatic translation of biological data in RDF format and visual interface for biological query • Interoperability for integrating multiple data sources

• Adaptability: RDF can be incremented, evolved, extended

Hetererogenous Biological data E xp re s s io n O rt h o lo g y T ra n s c ri p t C h ro m a ti n e s ta tu s RDF triple store Data integration RDF

triples Graphicinterface

DATA QUERY Sequence of nodes (Integrated Entities) to be selected Specific values to apply to datasets

Figure1: Number of common orthologous genes underlying the QTLs of resistance to eH isolate in three Brassicaceae species. The number of genes indicated for B. napus and B. oleraceacorrespond to the genes that have orthologs in Arabidopsis. A total of 47 Arabidopsisgenes were identified as common to the three studied species.

Figure2: Structural genomic position of Arabidopsis and B. napus QTL. Lines show the B. napus genes underneath the QTLs that have an ortholog in Arabidopsis. Centromeres, gene density and ancestral genomic blocks (Mason et al., 2016; Cheng et al., 2013; Lysak et al, 2016) were added to the circos plot.

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