Unknown

Dataset Information

0

Ancestral genome reconstruction enhances transposable element annotation by identifying degenerate integrants.


ABSTRACT: Growing evidence indicates that transposable elements (TEs) play important roles in evolution by providing genomes with coding and non-coding sequences. Identification of TE-derived functional elements, however, has relied on TE annotations in individual species, which limits its scope to relatively intact TE sequences. Here, we report a novel approach to uncover previously unannotated degenerate TEs (degTEs) by probing multiple ancestral genomes reconstructed from hundreds of species. We applied this method to the human genome and achieved a 10.8% increase in coverage over the most recent annotation. Further, we discovered that degTEs contribute to various cis-regulatory elements and transcription factor binding sites, including those of a known TE-controlling family, the KRAB zinc-finger proteins. We also report unannotated chimeric transcripts between degTEs and human genes expressed in embryos. This study provides a novel methodology and a freely available resource that will facilitate the investigation of TE co-option events on a full scale.

SUBMITTER: Matsushima W 

PROVIDER: S-EPMC10879028 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Ancestral genome reconstruction enhances transposable element annotation by identifying degenerate integrants.

Matsushima Wayo W   Planet Evarist E   Trono Didier D  

Cell genomics 20240130 2


Growing evidence indicates that transposable elements (TEs) play important roles in evolution by providing genomes with coding and non-coding sequences. Identification of TE-derived functional elements, however, has relied on TE annotations in individual species, which limits its scope to relatively intact TE sequences. Here, we report a novel approach to uncover previously unannotated degenerate TEs (degTEs) by probing multiple ancestral genomes reconstructed from hundreds of species. We applie  ...[more]

Similar Datasets

| S-EPMC4779615 | biostudies-literature
| S-EPMC3031573 | biostudies-literature
| S-EPMC10638045 | biostudies-literature
| S-EPMC6264596 | biostudies-literature
| S-EPMC6913007 | biostudies-literature
| S-EPMC3899994 | biostudies-literature
| S-EPMC11003543 | biostudies-literature
2024-11-10 | GSE280365 | GEO
| S-EPMC7431005 | biostudies-literature
| S-EPMC3359762 | biostudies-literature