Module 4
Detailed information about module 4

Module 4 - Tomato Genetic Resources
| Module leader: Dani Zamir |
| This Module aims at the development of mapped genetic
resources of tomato. Natural biodiversity is an
under-exploited sustainable resource that can enrich the
genetic basis of cultivated plants with novel alleles
that improve productivity, quality and adaptation.
Natural variation related to the EU-SOL traits is
largely unexplored and hardly used in current commercial
varieties. For this purpose further refinement of mapped
introgression lines (ILs) involving the wild tomato
species Solanum habrochaites (formerly known as
L hirsutum), Solanum pennellii, Solanum chmielewski,
Solanum neorickii (formerly known as Lycopersicon
parviflorum) and Solanum lycopersicoides will be
pursued. A PCR marker based framework will be
developed and linked to genetic maps of tomato and
potato. Selected variants will be derived from
the EMS and Fast Neutron saturation mutagenesis project.
A tomato core collection of 1000 accessions
representing traditional and modern types for
association studies will be constructed. SNP
analysis and targeted sequencing will be used for
association analysis using target genes defined
by EU-SOL partners on the basis of the tomato genome
sequence. Phenotyping of ILs, mutants and core
collection germplasm will be performed in field and
glasshouse multi-sites trials for agricultural traits
and dissemination of tissues for the researchers in
other modules. Phenotypic data from the entire project
will be integrated into a single map based framework and
all germplasm resource and fine mapping lines will be
curated and distributed to the EU-SOL community. This
Module is service-oriented to the benefit of the
research groups in Modules 1, 2 and 3, the industrial
partners and the global community at large working on
the Solanaceae. |

Workpackages in this module:
WP 4.1: Development of mapped genetic resources.
Workpackage leader: Silvana Grandillo
WP 4.2: Construction of a tomato core collection for association studies.
Workpackage leader: Mark van Haaren
WP 4.3: Phenotyping, bioinformatics and germplasm distribution.
Workpackage leader: Dani Zamir