henhaobio
Sign in

Nucleic Acids ResearchGenomicsPeer-reviewed journal article

Pushing the limits of HiFi assemblies reveals centromere diversity between two Arabidopsis thaliana genomes

Fernando A. RabanaliD, Maike GräffiD, Christa Lanz, Katrin FritschiiD, Víctor LlacaiD, Michelle G. LangiD, Pablo Carbonell‐BejeranoiD, Ian R. HendersoniD, Detlef WeigeliD

PDFDOIPreprint

Abstract

Although long-read sequencing can often enable chromosome-level reconstruction of genomes, it is still unclear how one can routinely obtain gapless assemblies. In the model plant Arabidopsis thaliana, other than the reference accession Col-0, all other accessions de novo assembled with long-reads until now have used PacBio continuous long reads (CLR). Although these assemblies sometimes achieved chromosome-arm level contigs, they inevitably broke near the centromeres, excluding megabases of DNA from analysis in pan-genome projects. Since PacBio high-fidelity (HiFi) reads circumvent the high error rate of CLR technologies, albeit at the expense of read length, we compared a CLR assembly of accession Ey15-2 to HiFi assemblies of the same sample performed by five different assemblers starting from subsampled data sets, allowing us to evaluate the impact of coverage and read length. We found that centromeres and rDNA clusters are responsible for 71% of contig breaks in the CLR scaffolds, while relatively short stretches of GA/TC repeats are at the core of >85% of the unfilled gaps in our best HiFi assemblies. Since the HiFi technology consistently enabled us to reconstruct gapless centromeres and 5S rDNA clusters, we demonstrate the value of the approach by comparing these previously inaccessible regions of the genome between two A. thaliana accessions.

Citations
62
FWCI
5.47
Field percentile
top 2%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISWang '21Vollger '19Hotaling '22Nurk '20Sharma '21Awad '23
72% semantic matchGenomics
Bo Wang, Xiaofei Yang, Yanyan Jia+9 more·Genomics Proteomics & Bioinformatics·Sep 3, 2021· 173 citations