Přednáška z Anatomie a fyziologie rostlin
datum |
28.4.2015 |
přednáší |
Dr. Wolfgang Busch (Gregor Mendel Institute, Vienna, Austria) |
název |
Dissecting Quantitative Regulation of Root Growth Using Systems Genetics |
anotace |
A fundamental question in biology is how the genome of an organism gives rise to its phenotype. In plants, growth and development are of particular interest in regard to the phenotype- genotype problem as much of plant form and function, including biomass, root foraging ability, and resistance to many abiotic stresses, are related to growth and development. An excellent experimental system to approach the genotype to phenotype challenge in the context of growth and development is the root of Arabidopsis thaliana, for which unique resources exist. These include cell-type specific transcriptome data, high resolution genotyping data along with the full genome sequences of more than a thousand inbred, phenotypically diverse wild strains, and high quality genomic-scale gene network models based on a large number of system-biology-type experimental datasets. Using natural variation of root traits between hundreds of Arabidopsis accessions, we study how this phenotypical variation is genetically determined and which genes, networks, and biological pathways lead to differences in root growth and architecture. For this, we use custom phenotyping pipelines that enable us to capture quantitative root phenotypes of a very large number of individuals, genome wide association studies (GWAS) to identify the associated loci in the genome, and systems-biology driven approaches to identify the gene networks and pathways that provide the molecular and cellular context within which the underlying genes quantitatively regulate root growth. Using these approaches, we have recently identified and characterized multiple novel regulators and regulatory modules of epistatically interacting genes that shape root growth. Overall, using this systems-genetics approach enables us to approach the genotype to phenotype question at the level of genetic networks, significantly advancing our comprehension of how complex biological traits are modulated by different genotypes.
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