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What Can Long Terminal Repeats Tell Us About the Age of LTR Retrotransposons, Gene Conversion and Ectopic Recombination?

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    0539877 - BFÚ 2021 RIV CH eng J - Journal Article
    Jedlička, Pavel - Lexa, M. - Kejnovský, Eduard
    What Can Long Terminal Repeats Tell Us About the Age of LTR Retrotransposons, Gene Conversion and Ectopic Recombination?
    Frontiers in Plant Science. Roč. 11, MAY 20 2020 (2020), č. článku 644. ISSN 1664-462X. E-ISSN 1664-462X
    R&D Projects: GA ČR(CZ) GA18-00258S
    Institutional support: RVO:68081707
    Keywords : rna-mediated recombination * transposable elements * genome size * evolution * rice * plants
    OECD category: Plant sciences, botany
    Impact factor: 5.754, year: 2020
    Method of publishing: Open access
    https://www.frontiersin.org/articles/10.3389/fpls.2020.00644/full

    LTR retrotransposons constitute a significant part of plant genomes and their evolutionary dynamics play an important role in genome size changes. Current methods of LTR retrotransposon age estimation are based only on LTR (long terminal repeat) divergence. This has prompted us to analyze sequence similarity of LTRs in 25,144 LTR retrotransposons from fifteen plant species as well as formation of solo LTRs. We found that approximately one fourth of nested retrotransposons showed a higher LTR divergence than the pre-existing retrotransposons into which they had been inserted. Moreover, LTR similarity was correlated with LTR length. We propose that gene conversion can contribute to this phenomenon. Gene conversion prediction in LTRs showed potential converted regions in 25% of LTR pairs. Gene conversion was higher in species with smaller genomes while the proportion of solo LTRs did not change with genome size in analyzed species. The negative correlation between the extent of gene conversion and the abundance of solo LTRs suggests interference between gene conversion and ectopic recombination. Since such phenomena limit the traditional methods of LTR retrotransposon age estimation, we recommend an improved approach based on the exclusion of regions affected by gene conversion.
    Permanent Link: http://hdl.handle.net/11104/0317575

     
     
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