Web supplement to
"Reconstruction of full-length LINE-1 progenitors from ancestral genomes"

Laura F. Campitelli1,2*, Isaac Yellan1,2*, Mihai Albu2, Marjan Barazandeh2,3, Zain M. Patel1,2, Mathieu Blanchette4, and Timothy R. Hughes1,2§

1Department of Molecular Genetics, University of Toronto, Toronto, ON
2Donnelly Centre, University of Toronto, Toronto, ON
3Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC
4Department of Computer Science, McGill University, Montreal, QC

§To whom correspondance should be addressed:

Abstract

Sequences derived from the LINE-1 (L1) family of retrotransposons occupy at least 17% of the human genome, with 67 of distinct subfamilies representing successive waves of expansion and extinction in mammalian lineages. L1s contribute extensively to gene regulation, but their molecular history is difficult to trace, because most are present only as truncated and highly mutated fossils. Consequently, L1 entries in current databases of repeat sequences are composed mainly of short diagnostic subsequences, rather than full functional progenitor sequences for each subfamily. Here, we have coupled two levels of sequence reconstruction (at the level of whole genomes, and L1 subfamilies) to reconstruct progenitor sequences for all human L1 subfamilies that are more functionally and phylogenetically plausible than existing models. Most of the reconstructed sequences are at or near the canonical length of L1s and encode uninterrupted ORFs with expected protein domains. We also show that the presence or absence of binding sites for KZFPs (KRAB-containing Zinc Finger Proteins), even in ancient reconstructed progenitor L1s, mirrors binding observed in human ChIP-exo experiments, thus extending the arms race and domestication model. RepeatMasker searches of the modern human genome suggest that the new models may be able to assign subfamily-resolution identities to previously ambiguous L1 instances. The reconstructed L1 sequences will be useful for genome annotation and functional study of both L1 evolution and L1 contributions to host regulatory networks.

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