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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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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 |
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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 |
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