July 7, 2019  |  

Improving and correcting the contiguity of long-read genome assemblies of three plant species using optical mapping and chromosome conformation capture data.

Authors: Jiao, Wen-Biao and Garcia Accinelli, Gonzalo and Hartwig, Benjamin and Kiefer, Christiane and Baker, David and Severing, Edouard and Willing, Eva-Maria and Piednoel, Mathieu and Woetzel, Stefan and Madrid-Herrero, Eva and Huettel, Bruno and Hümann, Ulrike and Reinhard, Richard and Koch, Marcus A and Swan, Daniel and Clavijo, Bernardo and Coupland, George and Schneeberger, Korbinian

Long-read sequencing can overcome the weaknesses of short reads in the assembly of eukaryotic genomes, however, at present additional scaffolding is needed to achieve chromosome-level assemblies. We generated PacBio long-read data of the genomes of three relatives of the model plant Arabidopsis thaliana and assembled all three genomes into only a few hundred contigs. To improve the contiguities of these assemblies, we generated BioNano Genomics optical mapping and Dovetail Genomics chromosome conformation capture data for genome scaffolding. Despite their technical differences, optical mapping and chromosome conformation capture performed similarly and doubled N50 values. After improving both integration methods, assembly contiguity reached chromosome-arm-levels. We rigorously assessed the quality of contigs and scaffolds using Illumina mate-pair libraries and genetic map information. This showed that PacBio assemblies have high sequence accuracy but can contain several misassemblies, which join unlinked regions of the genome. Most, but not all of these mis-joints were removed during the integration of the optical mapping and chromosome conformation capture data. Even though none of the centromeres was fully assembled, the scaffolds revealed large parts of some centromeric regions, even including some of the heterochromatic regions, which are not present in gold standard reference sequences. Published by Cold Spring Harbor Laboratory Press.

Journal: Genome research
DOI: 10.1101/gr.213652.116
Year: 2017

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