Dataset Information

Detection of transposable elements by their compositional bias.

ABSTRACT:

Background

Transposable elements (TE) are mobile genetic entities present in nearly all genomes. Previous work has shown that TEs tend to have a different nucleotide composition than the host genes, either considering codon usage bias or dinucleotide frequencies. We show here how these compositional differences can be used as a tool for detection and analysis of TE sequences.

Results

We compared the composition of TE sequences and host gene sequences using probabilistic models of nucleotide sequences. We used hidden Markov models (HMM), which take into account the base composition of the sequences (occurrences of words n nucleotides long, with n ranging here from 1 to 4) and the heterogeneity between coding and non-coding parts of sequences. We analyzed three sets of sequences containing class I TEs, class II TEs and genes respectively in three species: Drosophila melanogaster, Caenorhabditis elegans and Arabidopsis thaliana. Each of these sets had a distinct, homogeneous composition, enabling us to distinguish between the two classes of TE and the genes. However the particular base composition of the TEs differed in the three species studied.

Conclusions

This approach can be used to detect and annotate TEs in genomic sequences and complements the current homology-based TE detection methods. Furthermore, the HMM method is able to identify the parts of a sequence in which the nucleotide composition resembles that of a coding region of a TE. This is useful for the detailed annotation of TE sequences, which may contain an ancient, highly diverged coding region that is no longer fully functional.

SUBMITTER: Andrieu O

PROVIDER: S-EPMC497039 | biostudies-literature | 2004 Jul

REPOSITORIES: biostudies-literature

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Publications

Detection of transposable elements by their compositional bias.

Andrieu Olivier O Fiston Anna-Sophie AS Anxolabéhère Dominique D Quesneville Hadi H

BMC bioinformatics 20040713

<h4>Background</h4>Transposable elements (TE) are mobile genetic entities present in nearly all genomes. Previous work has shown that TEs tend to have a different nucleotide composition than the host genes, either considering codon usage bias or dinucleotide frequencies. We show here how these compositional differences can be used as a tool for detection and analysis of TE sequences.<h4>Results</h4>We compared the composition of TE sequences and host gene sequences using probabilistic models of ...[more]

PMID: 15251040

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Project description:BackgroundTeleost fish genome size has been repeatedly demonstrated to positively correlate with the proportion of transposable elements (TEs). This finding might have far-reaching implications for our understanding of the evolution of nucleotide composition across vertebrates. Genomes of fish and amphibians are GC homogenous, with non-teleost gars being the single exception identified to date, whereas birds and mammals are AT/GC heterogeneous. The exact reason for this phenomenon remains controversial. Since TEs make up significant proportions of genomes and can quickly accumulate across genomes, they can potentially influence the host genome with their own GC content (GC%). However, the GC% of fish TEs has so far been neglected.ResultsThe genomic proportion of TEs indeed correlates with genome size, although not as linearly as previously shown with fewer genomes, and GC% negatively correlates with genome size in the 33 fish genome assemblies analysed here (excluding salmonids). GC% of fish TE consensus sequences positively correlates with the corresponding genomic GC% in 29 species tested. Likewise, the GC contents of the entire repetitive vs. non-repetitive genomic fractions correlate positively in 54 fish species in Ensembl. However, among these fish species, there is also a wide variation in GC% between the main groups of TEs. Class II DNA transposons, predominant TEs in fish genomes, are significantly GC-poorer than Class I retrotransposons. The AT/GC heterogeneous gar genome contains fewer Class II TEs, a situation similar to fugu with its extremely compact and also GC-enriched but AT/GC homogenous genome.ConclusionOur results reveal a previously overlooked correlation between GC% of fish genomes and their TEs. This applies to both TE consensus sequences as well as the entire repetitive genomic fraction. On the other hand, there is a wide variation in GC% across fish TE groups. These results raise the question whether GC% of TEs evolves independently of GC% of the host genome or whether it is driven by TE localization in the host genome. Answering these questions will help to understand how genomic GC% is shaped over time. Long-term accumulation of GC-poor(er) Class II DNA transposons might indeed have influenced AT/GC homogenization of fish genomes and requires further investigation.

Project description:Transposables elements (TEs) contribute to both structural and functional dynamics of most eukaryotic genomes. Because of their propensity to densely populate plant and animal genomes, the precise estimation of the impact of transposition on genomic diversity has been considered as one of the main challenges of today's genomics. The recent development of NGS (next generation sequencing) technologies has open new perspectives in population genomics by providing new methods for high throughput detection of Transposable Elements-associated Structural Variants (TEASV). However, these have relied on Illumina platform that generates short reads (up to 350 nucleotides). This limitation in size of sequence reads can cause high false discovery rate (FDR) and therefore limit the power of detection of TEASVs, especially in the case of large, complex genomes. The newest sequencing technologies, such as Oxford Nanopore Technologies (ONT) can generate kilobases-long reads thus representing a promising tool for TEASV detection in plant and animals.We present the results of a pilot experiment for TEASV detection on the model plant species Arabidopsis thaliana using ONT sequencing and show that it can be used efficiently to detect TE movements. We generated a ~0.8X genome coverage of a met1-derived epigenetic recombinant inbred line (epiRIL) using a MinIon device with R7 chemistry. We were able to detect nine new copies of the LTR-retrotransposon Evadé (EVD). We also evidenced the activity of the DNA transposon CACTA, CAC1.Even at a low sequence coverage (0.8X), ONT sequencing allowed us to reliably detect several TE insertions in Arabidopsis thaliana genome. The long read length allowed a precise and un-ambiguous mapping of the structural variations caused by the activity of TEs. This suggests that the trade-off between read length and genome coverage for TEASV detection may be in favor of the former. Should the technology be further improved both in terms of lower error rate and operation costs, it could be efficiently used in diversity studies at population level.

Dataset Information

Detection of transposable elements by their compositional bias.

Background

Results

Conclusions

Publications

Detection of transposable elements by their compositional bias.

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