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Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
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Multiple reference genomes and transcriptomes for Arabidopsis thaliana.

Xiangchao Gan1, Oliver Stegle, Jonas Behr

  • 1Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.

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|August 30, 2011
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Summary
This summary is machine-generated.

Genetic variations in Arabidopsis thaliana accessions drive phenotypic diversity. Re-annotating genomes reveals alternative gene models, uncovering significant sequence and expression differences, especially in biotic response genes.

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Area of Science:

  • Plant genetics
  • Genomics
  • Molecular biology

Background:

  • Arabidopsis thaliana accessions exhibit significant phenotypic variation due to genetic differences.
  • Previous studies primarily used the Col-0 reference accession for interpretation.
  • Understanding genetic diversity across natural accessions is crucial for functional genomics.

Purpose of the Study:

  • To sequence, assemble, and annotate the genomes and transcriptomes of 18 natural Arabidopsis thaliana accessions.
  • To investigate the impact of genetic variation on gene models and expression.
  • To identify patterns of sequence and expression variation, particularly in relation to environmental responses.

Main Methods:

  • Whole-genome sequencing and assembly of 18 Arabidopsis thaliana accessions.
  • Transcriptome sequencing (RNA-Seq) for gene expression analysis.
  • Comparative genome annotation and re-annotation to identify gene model variations.

Main Results:

  • One-third of protein-coding genes appear disrupted based on reference annotation, but re-annotation often restores coding potential.
  • Nearly half of expressed genes show differences in seedling expression, frequently linked to cis-variants.
  • Intron retention and alternative splicing events correlate with cis-variants; variation is highest in biotic response genes.

Conclusions:

  • Re-annotation is essential for accurate interpretation of genetic variation in natural accessions.
  • Extensive sequence and expression variation exists across Arabidopsis thaliana accessions, impacting gene function.
  • The generated data and the MAGIC population will advance evolutionary and functional studies in Arabidopsis.