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Network‐based visualisation reveals new insights into transposable element diversity
Authors:Lisa Schneider  Yi&#x;Ke Guo  David Birch  Peter Sarkies
Institution:1. MRC London Institute of Medical Sciences, London UK ; 2. Institute of Clinical Sciences, Imperial College, London UK ; 3. Data Sciences Institute, Imperial College, London UK ;4.Present address: Hong Kong Baptist University, Kowloon Tsai Hong Kong
Abstract: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.
Keywords:epigenetics  evolution  networks  piRNAs  transposable elements
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