Comparative Analysis of Tandem Repeats from Hundreds of Species Reveals Unique Insights into Centromere Evolution
Dani\"el P. Melters, Keith R. Bradnam, Hugh A. Young, Natalie Telis,, Michael R. May, J. Graham Ruby, Robert Sebra, Paul Peluso, John Eid, David, Rank, Jos\'e Fernando Garcia, Joseph L. DeRisi, Timothy Smith, Christian, Tobias, Jeffrey Ross-Ibarra, Ian F. Korf, Simon W.-L. Chan

TL;DR
This study analyzed centromere tandem repeats across 282 species, revealing high variability in sequence and structure but common evolutionary modes, highlighting their potential functional role despite rapid evolution.
Contribution
The paper introduces a bioinformatic approach to identify centromere repeats across diverse species, demonstrating their prevalence and evolutionary patterns.
Findings
High-copy tandem repeats are common in most species studied.
Repeat monomers are highly variable in sequence and length.
Similar modes of evolution observed across species despite lack of sequence conservation.
Abstract
Centromeres are essential for chromosome segregation, yet their DNA sequences evolve rapidly. In most animals and plants that have been studied, centromeres contain megabase-scale arrays of tandem repeats. Despite their importance, very little is known about the degree to which centromere tandem repeats share common properties between different species across different phyla. We used bioinformatic methods to identify high-copy tandem repeats from 282 species using publicly available genomic sequence and our own data. The assumption that the most abundant tandem repeat is the centromere DNA was true for most species whose centromeres have been previously characterized, suggesting this is a general property of genomes. Our methods are compatible with all current sequencing technologies. Long Pacific Biosciences sequence reads allowed us to find tandem repeat monomers up to 1,419 bp.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
