Cargando…

Network‐based visualisation reveals new insights into transposable element diversity

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 tra...

Descripción completa

Detalles Bibliográficos
Autores principales: Schneider, Lisa, Guo, Yi‐Ke, Birch, David, Sarkies, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226279/
https://www.ncbi.nlm.nih.gov/pubmed/34169647
http://dx.doi.org/10.15252/msb.20209600
_version_ 1783712256469499904
author Schneider, Lisa
Guo, Yi‐Ke
Birch, David
Sarkies, Peter
author_facet Schneider, Lisa
Guo, Yi‐Ke
Birch, David
Sarkies, Peter
author_sort Schneider, Lisa
collection PubMed
description 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.
format Online
Article
Text
id pubmed-8226279
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-82262792021-07-06 Network‐based visualisation reveals new insights into transposable element diversity Schneider, Lisa Guo, Yi‐Ke Birch, David Sarkies, Peter Mol Syst Biol Articles 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. John Wiley and Sons Inc. 2021-06-25 /pmc/articles/PMC8226279/ /pubmed/34169647 http://dx.doi.org/10.15252/msb.20209600 Text en © 2021 The Authors. Published under the terms of the CC BY 4.0 license https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Schneider, Lisa
Guo, Yi‐Ke
Birch, David
Sarkies, Peter
Network‐based visualisation reveals new insights into transposable element diversity
title Network‐based visualisation reveals new insights into transposable element diversity
title_full Network‐based visualisation reveals new insights into transposable element diversity
title_fullStr Network‐based visualisation reveals new insights into transposable element diversity
title_full_unstemmed Network‐based visualisation reveals new insights into transposable element diversity
title_short Network‐based visualisation reveals new insights into transposable element diversity
title_sort network‐based visualisation reveals new insights into transposable element diversity
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226279/
https://www.ncbi.nlm.nih.gov/pubmed/34169647
http://dx.doi.org/10.15252/msb.20209600
work_keys_str_mv AT schneiderlisa networkbasedvisualisationrevealsnewinsightsintotransposableelementdiversity
AT guoyike networkbasedvisualisationrevealsnewinsightsintotransposableelementdiversity
AT birchdavid networkbasedvisualisationrevealsnewinsightsintotransposableelementdiversity
AT sarkiespeter networkbasedvisualisationrevealsnewinsightsintotransposableelementdiversity