eu-russia symposium on s&t co-operation in biotechnology and eu-russia partnering event in...

EU-RUSSIA SYMPOSIUM on S&T CO-OPERATION in BIOTECHNOLOGYand

EU-RUSSIA PARTNERING EVENT in BIOTECHNOLOGY

Agrobiotechnology: Plant Genomics and Grain Legume Crops.

Prof. Noel Ellis, John Innes Centre,

Norwich, UK.

on behalf of the FP6 Grain Legumes Consortium

www.eugrainlegumes.org

1. The problem2. The approach3. The partnership4. The outputs5. Potential interactions

Grain Legumes Integrated Project

legumes as a proportion of arable agriculture:

EUN & S America

Asia


03/04

77

7602/03

80/81

90/91

99/00

00/01

10 protein Mt205

73/74

pea, faba, bean, lupin

rapeseed & sunflower

dry forage

soybean meal & seed

meat and fish meal

miscellaneous

7701/02

74

68

62

78

81

Production Use% deficit

Plant proteins in the EU:Grain Legumes Integrated Project

Source: UNIP


The protein (and Nitrogen) economy of the EUis considerably out of balance.

A substantial increase in legume protein productionin the EU can redress agricultural imbalance and meet a large extant demand without a major impact on trade.

To increase legume protein production we need toaddress the current constraints on their production and use.

Objective :

To define the impact andpotential of improved grain

legumes on optimised animal feed and human food.

Objective :

To understand the factors affecting grain legume

seed quality and use.

Objective :

To develop genomic and post-genomic tools needed to improve and sustain grain

legume seed quality and supply.

Objective :To coordinate and integrate

grain legume research, to provide training in

emerging technological approaches, to disseminate results,

and transfer technology to industry

Module1:

To identify optimal parameters for

legumes in feed quality and

safety

Module2:

To use legumes to develop healthy

and sustainable Agriculture

Module3:

To investigate Variation in grain

legume seed Composition

Module4:

To identify the factors affecting

grain legume seed composition

Module5:

To develop new genetic & genomic

tools for grain legume improvement

Module6:

To develop new bioinformatic tools needed to improve

grain legume seed quality

Module 7:

To provide coordination &

training in grain legume

research

Module 8:

To disseminate knowledge &

transfer technology

WP7.1

Coordination

WP7.2

Training

WP8.1

Dissemination

WP8.2

Transfer

WP6.1

Bioinformatics

WP5.1

Sequencing

WP5.2

Mutagenesis

WP5.3Expression

Profiling

WP5.4

Crop & Compar. Genomics

WP2.1Lower Input

Farming

WP2.2Economic &

environmental analysis

WP1.1

WP1.2Feed Processing &

Nutritional value

Grain Legumes in Feed

WP4.1Environmental

Effects on Seed Quality

WP4.2

Pathogen Effects on Seed Quality

WP4.3

Plant Architecture

WP4.4Carbon/nitrogen allocation & seed

quality

WP3.1Systems

approaches toseed composition

WP3.2Novel approaches

to alter seed composition

Agronomy & end use

Trait biologyGenetics & genomic

toolsIntegration


WP1.1

WP1.2

WP2.1

WP2.2

WP3.1

WP3.2

WP4.1

WP4.2

WP4.3

WP4.4

WP5.1

WP5.2

WP5.3

WP5.4

WP6.1

WP7.1

WP7.2

WP8.1

WP8.2

Distribution of funding 14.4 M€ over 48 months

Trait biology

Genetics& genomics


Objective :

To define the impact andpotential of improved grain

legumes on optimised animal feed and human food.

Module1:

To identify optimal parameters for

legumes in feed quality and

safety

Module2:

To use legumes to develop healthy

and sustainable Agriculture

WP2.1Lower Input

Farming

WP2.2Economic &

environmental analysis

WP1.1

WP1.2Feed Processing &

Nutritional value

Grain Legumes in Feed


WP 1.2 Intestinal microflora, gut health and nutritional value in animals.Alfons Jansman, ID Lelystad BV, NL

WP 1.1 Potential and behaviour of processed products of legume seeds. Udo Knauf , Fraunhofer IVV, D

WP 2.1 Agronomic considerations of grain legumes in agriculture.ES Jensen, Risø, DK

WP 2.2 Economic considerations of grainlegumes in agriculture,including Life Cycle Analysis.T Nemecek, FAL, CH

Objective :

To understand the factors affecting grain legume

seed quality and use.

Module3:

To investigate Variation in grain

legume seed Composition

Module4:

To identify the factors affecting

grain legume seed composition

WP4.1Environmental

Effects on Seed Quality

WP4.2

Pathogen Effects on Seed Quality

WP4.3

Plant Architecture

WP4.4Carbon/nitrogen allocation & seed

quality

WP3.1Systems

approaches toseed composition

WP3.2Novel approaches

to alter seed composition

Grain Legumes Integrated ProjectWP 3.1 High throughput approaches to characterise protein & metabolite amounts & compositionR Thompson, INRA Dijon, F

WP 3.2Gene and allele discovery, including QTL approaches.C Domoney, JIC, UK

Impact of growth constraints

WP 4.1 Abiotic stressMartin Crespi, CNRS Gif sur Yvette, F

WP 4.2 Biotic stressDiego Rubiales, CSIC, Córdoba, E

WP 4.3 Plant ArchitectureFrancisco Madueño, CSIC Valencia, E Catherine Rameau, INRA Versailles, F

WP 4.4 Control of flux from primary assimilation to seed filling.Christophe Salon, INRA Dijon, F

Objective :

To develop genomic and post-genomic tools needed to improve and sustain grain

legume seed quality and supply.

Module5:

To develop new genetic & genomic

tools for grain legume improvement

Module6:

To develop new bioinformatic tools needed to improve

grain legume seed quality

WP6.1

Bioinformatics

WP5.1

Sequencing

WP5.2

Mutagenesis

WP5.3Expression

Profiling

WP5.4

Crop & Compar. Genomics

Grain Legumes Integrated ProjectM 5 Genomic toolsJ Denarié, INRA Toulouse, F

WP 5.1 Genome sequencingGiles Oldroyd, JIC, Norwich, UK

WP 5.2 MutagenesisAdam Kondorosi, CNRS Gif sur Yvette, F

WP 5.3 Expression profilingHelge Kuester, Bielefeld, D

WP 5.4 Crop & Comparative GenomicsGyörgy Kiss, Inst. Genetics, BRC Szeged & Gödöllő, HuMedicago truncatula, Lotus japonicus, pea, chickpea, faba bean, bean, lentil, lupin, Phaseolus and clover

WP 6.1 BioinformaticsKlaus Mayer, MIPS, Munich, D

Sequence annotation, transcriptomic tools, comparative genomics, gemplasm analysis

Objective :To coordinate and integrate

grain legume research, to provide training in

emerging technological approaches, to disseminate results,

and transfer technology to industry

Module 7:

To provide coordination &

training in grain legume

research

Module 8:

To disseminate knowledge &

transfer technology

WP7.1

Coordination

WP7.2

Training

WP8.1

Dissemination

WP8.2

Transfer

Integration


WP 7.2 Short term fellowships & training workshopsTon Bisseling, WAU, Wageningen, NL

WP 7.1 Coordination Noel Ellis, JIC, UK

WP 8.1 Dissemination of Knowledge.A Schneider, AEP, Paris, F

WP 8.2 Transfer and Exploitation of ResultsC Golstein, TTP, GLIP

M 8 F Muel, UNIP, F

Genetics

Coordination & training

ProductionUse

Crop performance

Seed composition

Comparative Genetics & Genomics

Dissemination & transfer

Bioinformatics



% complete in the first 18 months

% of total effort

WP No.1.11.2

2.12.2

3.13.2

4.14.24.34.4

5.15.25.35.4

6.1

7.17.2

8.18.2

all

15 10 5 25 50 75

14.4 M€ award over 48 months24.8 M€ total costs


Medicago truncatula

Lotus japonicus

pea

faba bean

lupin

chickpea lentil clover Phaseolus

Distribution of funding by species

Grain Legumes Integrated Project50 Partners ~60 labs, 8 SMEs17 Countries 10 EU

2 EEA (+ CH) 3 New Member States 1 Third country

50% budget 10 partners

14.4 M€ award over 48 months24.8 M€ total costs

Participating LaboratoryLaboratory collaborating, or mentioned in the Technical Annexe

D

UK

E

F

DK

NL

Aus

B

Hu

CHI

IsN P

Po Cz S

2 EEA

1 Third country

3 New Member States

Grain Legumes Integrated ProjectNumber of participants by Country


Realistic assessment of the impact and use

of Grain Legumes in animal feed

Definition of the use of Grain Legumes in crop

rotations for sustainable agriculture:

Life cycle assesment

Comprehensive description of Grain Legume seed components

their variability and impactIdentification of

genetic resources to counter the main constraints

in Grain Legume productionIntegrated

bioinformatics tools for Grain Legume genetics and

genomics

Genome sequence to anchor

Grain Legume genetic maps.Mutant populations and

genomic tools for systematicpost genomics

Grain Legumes Integrated ProjectWP 7.2 Training

A workshop on bioinformatics (for breeders and youngscientists) will be organised in months the 12-18

A course on the model legume Medicago truncatula is scheduled in the second year (month 13 to 18).

An Ascochyta workshop.

Mobility within the IPExternal connections of the IP (including TTP)

18 short term fellowships per yearsee www.eugrainlegumes.org for application detaills

Training fellowships:

Workshops and Courses:


National projects,CP in CGAIR?

participants

TTP

IP

commercial breeders

end-users (feed companies)

other projects

anyone needing access to this technology

TTP

www.eugrainlegumes.org

12 1 2

3

4

5

8 67

11

9

10

1 Lens culinaris (macrosperma)2 Lotus japonicus (Gifu)3 Vicia narbonensis 4 Lupinus mutabilis5 Cicer arieteneum (Kabuli)6 Phaseolus vulgaris7 Pisum sativum (rr)8 Lens culinaris (microsperma)9 Medicago truncatula

(R108::Tnt1)10 Vicia faba11 Cicer arieteneum (Desi)12 Pisum sativum (RR)Background: faded pea standard petal (arar)

Thanks to: Mike Ambrose, Andrew Davies, Julie Hofer, Trevor Wang

eu-russia symposium on s&t co-operation in biotechnology and eu-russia partnering event in...

Documents

grain legume crops

grain legume researchmodule

seed qualitywp4

feed quality

legume protein productionin

optimised animal feed

environmental effects

postgenomic tools