Literature DB >> 23899810

Retrotransposons represent the most labile fraction for genomic rearrangements in polyploid plant species.

M Bento1, D Tomás, W Viegas, M Silva.   

Abstract

Understanding how increased genome size and diversity within polyploid genomes impacts plant evolution and breeding continues to be challenging. Although historical studies by McClintock suggested the importance of transposable elements mediated by polyploidisation on genomic changes, data from plant crosses remain scarce. Despite the absence of a conclusive proof regarding autonomous retrotransposon movement in synthetic allopolyploids, the transposition of retrotransposons and their ubiquitous dispersion in all plant species might explain the positive correlation between the genome size of plants and the prevalence of retrotransposons. Here, we address polyploidisation-mediated rearrangements of retrotransposon-associated sequences and discuss a tendency for a preferential restructuring of large ancestral genomes after polyploidisation. A comparative analysis of the frequency of modifications of retrotransposon-associated sequences in synthetic polyploids with marked differences in genome sizes is presented. Such analyses suggest the absence of a significant difference in the rates of rearrangements despite vast dissimilarities in the retrotransposon copy number between species, which emphasises the high plasticity of this genomic feature. See also the sister article focusing on animals by Arkhipova and Rodriguez in this themed issue.
Copyright © 2013 S. Karger AG, Basel.

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Year:  2013        PMID: 23899810     DOI: 10.1159/000353308

Source DB:  PubMed          Journal:  Cytogenet Genome Res        ISSN: 1424-8581            Impact factor:   1.636


  5 in total

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Journal:  Chromosome Res       Date:  2014-06       Impact factor: 5.239

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Authors:  James A Shapiro
Journal:  Front Genet       Date:  2014-04-25       Impact factor: 4.599

Review 3.  Retrotransposons in Plant Genomes: Structure, Identification, and Classification through Bioinformatics and Machine Learning.

Authors:  Simon Orozco-Arias; Gustavo Isaza; Romain Guyot
Journal:  Int J Mol Sci       Date:  2019-08-06       Impact factor: 5.923

4.  InpactorDB: A Classified Lineage-Level Plant LTR Retrotransposon Reference Library for Free-Alignment Methods Based on Machine Learning.

Authors:  Simon Orozco-Arias; Paula A Jaimes; Mariana S Candamil; Cristian Felipe Jiménez-Varón; Reinel Tabares-Soto; Gustavo Isaza; Romain Guyot
Journal:  Genes (Basel)       Date:  2021-01-28       Impact factor: 4.096

5.  Androgenic-Induced Transposable Elements Dependent Sequence Variation in Barley.

Authors:  Renata Orłowska; Katarzyna A Pachota; Wioletta M Dynkowska; Agnieszka Niedziela; Piotr T Bednarek
Journal:  Int J Mol Sci       Date:  2021-06-24       Impact factor: 5.923

  5 in total

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