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A2TEA: Identifying trait-specific evolutionary adaptations.

Tyll Stöcker1, Carolin Uebermuth-Feldhaus1, Florian Boecker1

  • 1Crop Bioinformatics, University of Bonn, Bonn, NRW, 53115, Germany.

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Summary
This summary is machine-generated.

This study introduces A2TEA, a workflow for analyzing plant adaptation to stress by examining genome evolution and gene family expansion. It helps identify genetic traits for crop improvement and understanding stress tolerance.

Keywords:
adaptationcropsevolutionplantssoftwarestressworkflow

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Area of Science:

  • Plant biology and evolutionary genomics
  • Bioinformatics and computational biology

Background:

  • Plants exhibit varying tolerance to environmental stresses like drought, influenced by evolutionary adaptations.
  • Genome duplications contribute to plant adaptation by causing protein family expansions, leaving detectable genomic footprints.
  • Understanding these footprints aids in identifying genetic mechanisms for stress tolerance and crop improvement.

Purpose of the Study:

  • To explore genetic diversity and uncover evolutionary adaptations to stress in plants.
  • To identify stress-responsive, expanded gene families as candidates for crop improvement.
  • To develop a computational tool for analyzing adaptation footprints across species.

Main Methods:

  • Developed A2TEA (Automated Assessment of Trait-specific Evolutionary Adaptations), a Snakemake workflow for in silico detection of adaptation footprints.
  • Integrated cross-species omics data, including protein family, phylogeny, expression, and protein function analyses.
  • Created an R Shiny web application for interactive exploration, highlighting, and exporting of results.

Main Results:

  • The A2TEA workflow successfully integrates diverse omics data for analyzing genomic adaptations.
  • Expanded, stress-responsive gene families were identified as potential targets for enhancing plant stress tolerance.
  • The accompanying web application facilitates hypothesis generation regarding species-specific genomic adaptations.

Conclusions:

  • The A2TEA workflow provides an efficient, automated method for detecting evolutionary adaptation footprints in plant genomes.
  • The pipeline is versatile and applicable to any set of species, not limited to crops.
  • A2TEA and its web application are publicly available to support research in plant adaptation and crop breeding.