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Establishing genotype to phenotype relations: from art to
science
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The
author,
Anker P. Sorensen,
is Vice President,
Keygene Applied Research
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February 2010
Trait elucidation has been and will continue to be one of the
major expertise fields of the KeyGene research community. Our
molecular marker technologies, which we have now integrated in
the “Accelerated Molecular Breeding” platform, have been
instrumental in elucidation of the genetic components and
inheritance mechanisms of simple and moderately complex traits.
In the past few years, HTP sequence based methods for SNP
discovery and SNP screening have been developed, tested and
implemented for important vegetables and field crops. We are
working with the concept of driver crops (tomato, pepper, melon,
cucumber, lettuce, Brassica napus and B. oleracea, maize,
cotton, potato and petunia) that guide the way in application of
novel technologies and methods within crop groups. Technological
developments have added an incredible resolution to the way in
which we monitor genetic variation across breeding germplasm and
in segregating progenies. In fact we are now able to monitor the
genotypic variability on the sequence level in the major crop
species. Using the KeyGene Lead discovery platform, the measured
genetic variation is currently immediately coupled to those gene
variants that possess putative functions, related to the
phenotype that we are aiming to understand.
These very exciting developments for our trait researchers will
only be profitable however if firm and preferably causal
relations between gene variants and phenotypic expression of the
trait under investigation can be made. Furthermore, the genotype
/ phenotype relations must be predictive for elite breeding of
germplasm in the environments of professional crop production.
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The limitation for establishing firm relations is currently no
longer on the genotypic side, but depends on the resolution and
precision of the phenotypic measurements of individual plants.
For that reason, KeyGene has started an evaluation of
structured, automated, serial digital imaging of growing crop
plants two years ago, using the KeyTrackTM Phenotyping system
for plant transport and digital imaging. The results are very
encouraging and because of that KeyGene phenotyping facilities
will be significantly expanded this year (KeyTrack facility with
a total capacity for 1200 plants).
In principle, making a digital image of a plant does not
increase resolution, but building algorithms that analyze the
pixels of the images and robustly translate the image to a
phenotype surely does. The fact that the images allow for a
decomposition of a phenotype into various components, which
individually can be captured precisely, has proven to increase
heritability of the measurement. This increases the
possibilities for establishing firm phenotypic relations with
the genotypic variation. Furthermore, the decomposition of a
phenotypic trait in time enables the creation of novel
phenotypic scores (or functions) that sometimes correlate better
with genotypic variation than a single point measurement. We are
convinced that our current excellent crop-specific genomic tools
and methods will benefit greatly from the addition of excellent
digital phenotypic information. This will lead to the
elucidation and development of novel traits and to significant
improvement of the breeding process, resulting in a new
generation of genetically improved traits.
Discussion with our partner breeding companies has led to many
different KeyTrack projects, including experiments concerning
plant development, drought tolerance and root development.
Anker P. Sorensen can be reached at
as@keygene.com
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