bioRxiv Science⌕ Search

Biology subjects

Darzentas, N.

Publications and source records attributed to Darzentas, N..

2 recordsLinked to original sources

Gene capture by transposable elements leads to epigenetic conflict

Plant transposable elements (TEs) regularly capture fragments of genes. When the host silences these TEs, siRNAs homologous to the captured regions may also target the genes. This epigenetic cross-talk establishes an intragenomic conflict: silencing the TEs has the cost of silencing the genes. If genes are important, however, natural selection may maintain function by moderating the silencing response, which may also advantage the TEs. Here, we examined this model by focusing on three TE families in maize: Helitrons, Pack-MULEs and Sirevirus LTR retrotransposons. We documented 1,263 TEs containing exon fragments from 1,629 donor genes. Consistent with epigenetic conflict, donor genes mapped more siRNAs and were more methylated than genes with no evidence of capture. However, these patterns differed between syntelog vs. translocated donor genes. Syntelogs appeared to maintain function, as measured by gene expression, consistent with moderation of silencing for functionally important genes. Epigenetic marks did not spread beyond their captured regions and 24nt cross-talk siRNAs were linked with CHH methylation. Translocated genes, in contrast, bore the signature of silencing by being highly methylated and less expressed. They were also overrepresented among donor genes, suggesting a link between capture and gene movement. The evidence for an advantage to TEs was less obvious. TEs with captured fragments were older, mapped fewer siRNAs and were slightly less methylated than TEs without captured fragments but showed no evidence of increased copy numbers. Altogether, our results demonstrate that TE capture triggers an epigenetic conflict for important genes, but it may lead to pseudogenization for less constrained genes.

genomics↗

GLASS: assisted and standardized assessment of gene variations from Sanger sequence trace data

MotivationSanger sequencing remains the reference method for sequence variant detection, especially in a clinical setting. However, chromatogram interpretation often requires manual inspection and in some cases considerable expertise. Additionally, variant reporting and nomenclature is typically left to the user, which can lead to inconsistencies.\n\nResultsWe introduce GLASS, a tool built to assist with the assessment of gene variations in Sanger sequencing data. Critically, it provides a standardized variant output as recommended by the Human Genome Variation Society.\n\nAvailabilityThe program is freely available online at http://bat.infspire.org/genomepd/glass/.\n\nContactnikos.darzentas@gmail.com, malcikova.jitka@fnbrno.cz\n\nSupplementary informationSupplementary data are available at Bioinformatics online.

bioinformatics↗