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Quantitative genomics


Introduction
mavuy_introThe recent application of next generation deep sequencing technology (NGST) is beginning to significantly alter the landscape of genetic analysis of mutants, as it allows one-shot sequencing of the entire mutant’s genome, resulting in the detection of mutagen-induced sequence alterations compared to non-mutagenized reference genomes. Taking this notion a step further, whole genome sequencing (WGS) will also enable us to get at the molecular basis of mono- and multigenic traits, present in natural variants of a species, which are hard to molecularly identify through conventional mapping strategies. Therefore, identification of novel genes underlying some economically important qualitative & quantitative traits in Arabidopsis thaliana and Seminavis robusta using NGST are the major objectives of our research.
 
GWAS for seed size and endoreduplication in A. thaliana
PhenotypeRecently, linkage disequilibrium (LD)-based mapping strategies or genome-wide association studies (GWAS) have received increased attention for the identification of QTL in plants, in particular in A. thaliana (Atwell et al. 2010).
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Mapping the Mating Type (MT) locus of Seminavis robusta (diatom)
SeminavisDiatoms are very promising from a biotechnological point of view (biofuels, food & feed, …).
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Quantification of allele-specific expression (ASE) patterns in F1 hybrids
microarraysMeasuring ASE needs the clear identification of the two different alleles in the F1 hybrid and relies on the presence of sequence polymorphisms within the transcribed sequence.
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