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Related Experiment Video

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Investigating Tissue- and Organ-specific Phytochrome Responses using FACS-assisted Cell-type Specific Expression Profiling in Arabidopsis thaliana
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Bimodal expression level polymorphisms in Arabidopsis thaliana.

Atsushi J Nagano1, Takashi Tsuchimatsu, Yudai Okuyama

  • 1Center for Ecological Research, Kyoto University, Otu, Shiga, Japan. anagano@gr.bot.kyoto-u.ac.jp

Plant Signaling & Behavior
|July 4, 2012
PubMed
Summary

We introduce bimodal expression level polymorphisms (bELPs) to identify genes driving natural variation and balancing selection. This method, applied to Arabidopsis thaliana, revealed 344 bELP genes, aiding in functional analysis and multi-omics approaches.

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Area of Science:

  • Genomics
  • Population Genetics
  • Molecular Biology

Background:

  • Gene expression differences are known as expression level polymorphisms (ELPs).
  • Identifying genes under balancing selection using genomic scans alone is challenging due to potential co-localization of multiple genes.
  • Integrating gene expression data with genomic information offers a more precise approach to detect selection targets.

Purpose of the Study:

  • To propose and validate bimodal expression level polymorphisms (bELPs) as a novel criterion for screening genes responsible for natural phenotypic variation and balancing selection.
  • To identify genes exhibiting bELPs in Arabidopsis thaliana through a genome-wide expression screen.
  • To investigate the population genetic characteristics of bELP genes.

Main Methods:

  • Genome-wide expression screening across 34 Arabidopsis thaliana accessions.
  • Identification of genes with bimodal expression patterns (bELPs).
  • Population genetic analysis of bELP genes, including nucleotide diversity and linkage disequilibrium.

Main Results:

  • 344 Arabidopsis thaliana genes exhibiting bELPs were identified.
  • bELP genes showed significantly higher nucleotide diversities and longer linkage disequilibriums compared to the genomic average.
  • The gene At1g23780, encoding a putative F-box protein, displayed the highest nucleotide diversity and a clear association between its expression mode and sequence type.

Conclusions:

  • Bimodal expression level polymorphisms (bELPs) are a valuable tool for screening and functional analysis of genes underlying phenotypic variation and balancing selection.
  • A multi-omics approach integrating gene expression and sequence data enhances the identification of genes relevant to balanced polymorphisms.
  • This methodology holds promise for application in Arabidopsis thaliana and other organisms for evolutionary and ecological studies.