DOI: 10.1093/hr/uhag402 ISSN: 2052-7276

quarTeT after three years: toolkit updates and community insights for telomere-to-telomere genome assembly

Jiarui Sun, Yunzhi Lin, Guocheng Sun, Xueying Hong, Azamat A Totikov, Xiaoming Song, Weihua Pan, Yongsheng Liu, Yi Yue, Junyang Yue

Abstract

Since its initial release in 2023, quarTeT has become a widely used toolkit for telomere-to-telomere (T2T) genome assembly and characterization. Here, we present a major update that improves all four quarTeT modules, including optional contig filtering in AssemblyMapper, refactored join algorithm in GapFiller, enhanced telomere detection in TeloExplorer, and support for holocentric chromosomes in CentroMiner. The main program has also been upgraded with user-configurable multithreading, broader version compatibility, and simplified deployment via Bioconda, Docker, and Singularity. Over the past three years, quarTeT has been adopted by 150 research groups in 22 countries and applied to 185 species, including plants, animals, fungi, and one bacterium. These efforts have helped to produce and characterize T2T or near-T2T assemblies across diverse evolutionary lineages. Community-use analysis indicates that TeloExplorer and CentroMiner are the most frequently used modules, whether together or alone, reflecting the central focus on telomeres and centromeres. Benchmarking shows a 13.8% runtime reduction over the original release and superior efficiency over specialized tools (CentIER and CentriVision) across six plant genomes, with competitive or better accuracy. Independent validation using CENH3 ChIP-seq covering diverse centromere types further confirms that quarTeT performs robustly and outperforms existing tools. Finally, we discuss remaining challenges and outline future directions, including machine learning-based centromere prediction, extended support for non-canonical centromere architectures, and the development of new completeness metrics beyond N50. The updated quarTeT toolkit is freely available at https://www.atcgn.com/quartet and https://github.com/aaranyue/quarTeT.