Independent assessment and improvement of wheat genome assemblies using Fosill jumping libraries

Lu, Fu-Hao; McKenzie, Neil; Kettleborough, George; Heavens, Darren; Clark, Matt; Bevan, Michael W.

doi:10.1101/219352

Cited by 1 publication

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“…Triticum aestivum Chinese Spring 42 chromosome 3DL BAC scaffold sequences are available in ENA study accession PRJEB23358. Snapshots of the pipeline and data are available in the GigaScience GigaDB repository [ 38 ].…”

Section: Data Availabilitymentioning

confidence: 99%

Independent assessment and improvement of wheat genome sequence assemblies using Fosill jumping libraries

McKenzie

Kettleborough

et al. 2018

GigaScience

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BackgroundThe accurate sequencing and assembly of very large, often polyploid, genomes remains a challenging task, limiting long-range sequence information and phased sequence variation for applications such as plant breeding. The 15-Gb hexaploid bread wheat (Triticum aestivum) genome has been particularly challenging to sequence, and several different approaches have recently generated long-range assemblies. Mapping and understanding the types of assembly errors are important for optimising future sequencing and assembly approaches and for comparative genomics.ResultsHere we use a Fosill 38-kb jumping library to assess medium and longer–range order of different publicly available wheat genome assemblies. Modifications to the Fosill protocol generated longer Illumina sequences and enabled comprehensive genome coverage. Analyses of two independent Bacterial Artificial Chromosome (BAC)-based chromosome-scale assemblies, two independent Illumina whole genome shotgun assemblies, and a hybrid Single Molecule Real Time (SMRT-PacBio) and short read (Illumina) assembly were carried out. We revealed a surprising scale and variety of discrepancies using Fosill mate-pair mapping and validated several of each class. In addition, Fosill mate-pairs were used to scaffold a whole genome Illumina assembly, leading to a 3-fold increase in N50 values.ConclusionsOur analyses, using an independent means to validate different wheat genome assemblies, show that whole genome shotgun assemblies based solely on Illumina sequences are significantly more accurate by all measures compared to BAC-based chromosome-scale assemblies and hybrid SMRT-Illumina approaches. Although current whole genome assemblies are reasonably accurate and useful, additional improvements will be needed to generate complete assemblies of wheat genomes using open-source, computationally efficient, and cost-effective methods.

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Section: Data Availabilitymentioning

confidence: 99%