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Exploring the genomes: From Arabidopsis to crops
Authors:Manuel SpannaglKlaus Mayer  Jörg DurnerGeorg Haberer  Andreas Fröhlich
Institution:a Helmholtz Zentrum München, Institute of Bioinformatics and Systems Biology, Ingolstädter Landstrasse 1, 85764 München, Germany
b Helmholtz Zentrum München, Institute of Biochemical Plant Pathology, Ingolstädter Landstrasse 1, 85764 München, Germany
Abstract:Model systems have played a crucial role for understanding biological processes at genetic, molecular and systems levels. Arabidopsis thaliana is one of the best studied model species for higher plants. Large genomic resources and mutant collections made Arabidopsis an excellent source for functional and comparative genomics. Rice and Brachypodium have a great potential to become model systems for grasses. Given the agronomic importance of grass crops, it is an attractive strategy to apply knowledge from Arabidopsis to grasses. Despite many efforts successful reports are sparse. Knowledge transfer should generally work best between orthologous genes that share functionality and a common ancestor. In higher plants, however, recent genome projects revealed an active and rapid evolution of genome structure, which challenges the concept of one-to-one orthologous mates between two species. In this study, we estimated on the example of protein families that are involved in redox related processes, the impact of gene expansions on the success rate for a knowledge transfer from Arabidopsis to the grass species rice, sorghum and Brachypodium. The sparse synteny between dicot and monocot plants due to frequent rearrangements, translocations and gene losses strongly impairs and reduces the number of orthologs detectable by positional conservation. To address the limitations of sparse synteny and expanded gene families, we applied for the detection of orthologs in this study orthoMCL, a sequence-based approach that allows to group closely related paralogs into one orthologous gene cluster. For a total of 49 out of 170 Arabidopsis genes we could identify conserved copy numbers between the dicot model and the grass annotations whereas approximately one third (34.7%, 59 genes) of the selected Arabidopsis genes lack an assignment to any of the grass genome annotations. The remaining 62 Arabidopsis genes represent groups that are considerably biased in their copy numbers between Arabidopsis and all or most of the three grass genomes.
Keywords:DHA  dehydroascorbate  GSH  glutathione  GSSG  glutathione disulphide  GST  glutathione-S-transferase  MDHA  monodehydroascorbate  OGC  orthologous gene cluster  ROS  reactive oxygen species  SOD  superoxide dismutase
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