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Network-based visualisation reveals new insights into transposable element diversity.
Schneider, Lisa; Guo, Yi-Ke; Birch, David; Sarkies, Peter.
Afiliação
  • Schneider L; MRC London Institute of Medical Sciences, London, UK.
  • Guo YK; Institute of Clinical Sciences, Imperial College, London, UK.
  • Birch D; Data Sciences Institute, Imperial College, London, UK.
  • Sarkies P; Data Sciences Institute, Imperial College, London, UK.
Mol Syst Biol ; 17(6): e9600, 2021 06.
Article em En | MEDLINE | ID: mdl-34169647
Transposable elements (TEs) are widespread across eukaryotic genomes, yet their content varies widely between different species. Factors shaping the diversity of TEs are poorly understood. Understanding the evolution of TEs is difficult because their sequences diversify rapidly and TEs are often transferred through non-conventional means such as horizontal gene transfer. We developed a method to track TE evolution using network analysis to visualise TE sequence and TE content across different genomes. We illustrate our method by first using a monopartite network to study the sequence evolution of Tc1/mariner elements across focal species. We identify a connection between two subfamilies associated with convergent acquisition of a domain from a protein-coding gene. Second, we use a bipartite network to study how TE content across species is shaped by epigenetic silencing mechanisms. We show that the presence of Piwi-interacting RNAs is associated with differences in network topology after controlling for phylogenetic effects. Together, our method demonstrates how a network-based approach can identify hitherto unknown properties of TE evolution across species.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Elementos de DNA Transponíveis / Evolução Molecular Tipo de estudo: Prognostic_studies Idioma: En Revista: Mol Syst Biol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Elementos de DNA Transponíveis / Evolução Molecular Tipo de estudo: Prognostic_studies Idioma: En Revista: Mol Syst Biol Ano de publicação: 2021 Tipo de documento: Article