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Boosting AthaMap Database Content with Data from Protein Binding Microarrays.

Reinhard Hehl1, Leo Norval2, Artyom Romanov2

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The AthaMap database now maps over 49 million predicted transcription factor binding sites (TFBS) for Arabidopsis thaliana, significantly enhancing gene expression regulation analysis. This update includes new TF families and links to the Arabidopsis Information Portal.

Keywords:
Arabidopsis thalianaAthaMapDatabaseSmall RNAsTranscription factors

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Area of Science:

  • Plant Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • The AthaMap database provides a genome-wide map of predicted transcription factor binding sites (TFBS) and small RNA target sites in Arabidopsis thaliana.
  • Recent advancements in protein binding microarrays (PBM) have led to a substantial increase in identified TFBS for Arabidopsis thaliana transcription factors (TFs).

Purpose of the Study:

  • To update and expand the AthaMap database with new TFBS predictions based on recent PBM data.
  • To enhance the resource for analyzing gene expression regulation in Arabidopsis thaliana.

Main Methods:

  • Utilized 113 positional weight matrices (PWMs) from a PBM study, representing 68 different TFs.
  • Predicted approximately 3.8 × 10^7 to 4.9 × 10^7 new TFBS across the Arabidopsis thaliana genome.
  • Integrated links to the Arabidopsis Information Portal (AIP) for TFs and genes.

Main Results:

  • Annotation of PWM-predicted TFBS for 126 TFs, encompassing 29 TF families, including newly added ARF, AT-Hook, YABBY, LOB/AS2, and SRS families.
  • Significant increase in the number of predicted TFBS within the AthaMap database.
  • Implementation of cross-links to the Arabidopsis Information Portal (AIP).

Conclusions:

  • The updated AthaMap database offers a more comprehensive and quantitative resource for studying Arabidopsis thaliana gene regulation.
  • The expanded TFBS data and AIP integration improve the utility of AthaMap for researchers in plant science.