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Brownian model of transcriptome evolution and phylogenetic network visualization between tissues.

Xun Gu1, Hang Ruan2, Zhixi Su2

  • 1Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA 50011, USA; State Key Laboratory of Genetic Engineering, MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China.

Molecular Phylogenetics and Evolution
|April 27, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a new Brownian-based model for transcriptome evolution on phylogenetic networks. It helps distinguish species-clustering from tissue-clustering patterns and offers insights into evolutionary mechanisms.

Keywords:
Multi-tissue evolutionPhylogenetic networkRNA-seqTranscriptome evolution

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Area of Science:

  • Evolutionary biology
  • Genomics
  • Bioinformatics

Background:

  • Phylogenetic analysis of transcriptomes typically aligns with species trees, but conflicts arise when multiple tissues are analyzed.
  • The debate centers on whether to cluster species by tissue or cluster tissues by species.
  • Phylogenetic network approaches offer potential insights, but evolutionary mechanisms remain unclear.

Purpose of the Study:

  • To develop a statistical model for analyzing multi-tissue transcriptome evolution.
  • To differentiate between species-clustering and tissue-clustering patterns.
  • To provide a null hypothesis for testing tissue evolution correlations.

Main Methods:

  • Development of a Brownian-based model for transcriptome evolution.
  • Application of the model to phylogenetic networks.
  • Statistical differentiation between species-clustering and tissue-clustering.

Main Results:

  • The model statistically distinguishes between species-clustering and tissue-clustering patterns.
  • It can serve as a null hypothesis for neutral transcriptome evolution.
  • Potential applications in cancer transcriptome evolution and detecting convergent evolution.

Conclusions:

  • The developed Brownian-based model advances the understanding of multi-tissue transcriptome evolution.
  • It provides a robust framework for analyzing complex evolutionary patterns.
  • The model has broad applicability in evolutionary studies and disease research.