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Pervasive Correlated Evolution in Gene Expression Shapes Cell and Tissue Type Transcriptomes.

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Summary
This summary is machine-generated.

Correlated gene expression evolution (LCE) is common across animal cell types. This study introduces a method to measure LCE, revealing it impacts evolutionary analyses and can be reduced by focusing on specific genes.

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cell type evolutioncomparative transcriptomincscorrelated evolutiongene expression evolution

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Area of Science:

  • Evolutionary biology
  • Genomics
  • Bioinformatics

Background:

  • Animal complexity evolves through cell type diversification.
  • Comparative transcriptomics using RNA-sequencing data aids in inferring cell type evolutionary history.
  • Interpreting transcriptomic data is challenging due to non-independent evolution of cell type transcriptomes.

Purpose of the Study:

  • To develop a statistical model for estimating the level of correlated transcriptome evolution (LCE).
  • To investigate the impact of LCE on inferring evolutionary relationships among cell and tissue types.
  • To identify genes contributing to LCE and improve phylogenetic reconstructions.

Main Methods:

  • Development of a novel statistical model to quantify LCE.
  • Application of the model to diverse RNA-seq datasets from various species and tissue types.
  • Gene-wise estimation of LCE to identify key genes influencing correlated evolution.

Main Results:

  • Pervasive correlated transcriptome evolution (LCE) was observed across different cell and tissue types.
  • Tissues with closer morphological or developmental relationships showed higher LCE.
  • Recently evolved tissues exhibited higher LCE than older tissues, and LCE can distort phylogenetic clustering.

Conclusions:

  • Correlated gene expression evolution is a significant factor in comparative transcriptomics.
  • The developed method allows for measurement and accounting of LCE, improving the accuracy of evolutionary analyses.
  • Identifying and managing genes with high LCE is crucial for robust reconstruction of tissue-type evolutionary relationships.