A hybrid de novo genome assembly of the honeybee, Apis mellifera, with chromosome-length scaffolds. View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Andreas Wallberg, Ignas Bunikis, Olga Vinnere Pettersson, Mai-Britt Mosbech, Anna K Childers, Jay D Evans, Alexander S Mikheyev, Hugh M Robertson, Gene E Robinson, Matthew T Webster

ABSTRACT

BACKGROUND: The ability to generate long sequencing reads and access long-range linkage information is revolutionizing the quality and completeness of genome assemblies. Here we use a hybrid approach that combines data from four genome sequencing and mapping technologies to generate a new genome assembly of the honeybee Apis mellifera. We first generated contigs based on PacBio sequencing libraries, which were then merged with linked-read 10x Chromium data followed by scaffolding using a BioNano optical genome map and a Hi-C chromatin interaction map, complemented by a genetic linkage map. RESULTS: Each of the assembly steps reduced the number of gaps and incorporated a substantial amount of additional sequence into scaffolds. The new assembly (Amel_HAv3) is significantly more contiguous and complete than the previous one (Amel_4.5), based mainly on Sanger sequencing reads. N50 of contigs is 120-fold higher (5.381 Mbp compared to 0.053 Mbp) and we anchor > 98% of the sequence to chromosomes. All of the 16 chromosomes are represented as single scaffolds with an average of three sequence gaps per chromosome. The improvements are largely due to the inclusion of repetitive sequence that was unplaced in previous assemblies. In particular, our assembly is highly contiguous across centromeres and telomeres and includes hundreds of AvaI and AluI repeats associated with these features. CONCLUSIONS: The improved assembly will be of utility for refining gene models, studying genome function, mapping functional genetic variation, identification of structural variants, and comparative genomics. More... »

PAGES

275

References to SciGraph publications

  • 2016-12. Phased diploid genome assembly with single-molecule real-time sequencing in NATURE METHODS
  • 2018-02. The axolotl genome and the evolution of key tissue formation regulators in NATURE
  • 2010-01. Sequencing technologies — the next generation in NATURE REVIEWS GENETICS
  • 2013-01-16. A Y-like social chromosome causes alternative colony organization in fire ants in NATURE
  • 2008-10. Genetic and genomic analyses of the division of labour in insect societies in NATURE REVIEWS GENETICS
  • 1999-09. TTAGG Telomeric Repeats in Chromosomes of Some Insects and Other Arthropods in CHROMOSOME RESEARCH
  • 2014-12. Finding the missing honey bee genes: lessons learned from a genome upgrade in BMC GENOMICS
  • 2011-09. Chromosomal rearrangements maintain a polymorphic supergene controlling butterfly mimicry in NATURE
  • 2007-06. A third-generation microsatellite-based linkage map of the honey bee, Apis mellifera, and its comparison with the sequence-based physical map in GENOME BIOLOGY
  • 2016-03. Haplotyping germline and cancer genomes with high-throughput linked-read sequencing in NATURE BIOTECHNOLOGY
  • 2015-12. Repbase Update, a database of repetitive elements in eukaryotic genomes in MOBILE DNA
  • 2015-12. Causes and consequences of crossing-over evidenced via a high-resolution recombinational landscape of the honey bee in GENOME BIOLOGY
  • 2012-08. Genome mapping on nanochannel arrays for structural variation analysis and sequence assembly in NATURE BIOTECHNOLOGY
  • 2014-12. Distribution of TTAGG-specific telomerase activity in insects in CHROMOSOME RESEARCH
  • 2017-04. Single-molecule sequencing and chromatin conformation capture enable de novo reference assembly of the domestic goat genome in NATURE GENETICS
  • 2009-12. BLAST+: architecture and applications in BMC BIOINFORMATICS
  • 2018-06. Piercing the dark matter: bioinformatics of long-range sequencing and mapping in NATURE REVIEWS GENETICS
  • 2006-10. Insights into social insects from the genome of the honeybee Apis mellifera in NATURE
  • 2013-02. Phenotypic impact of genomic structural variation: insights from and for human disease in NATURE REVIEWS GENETICS
  • 2014-10. A worldwide survey of genome sequence variation provides insight into the evolutionary history of the honeybee Apis mellifera in NATURE GENETICS
  • 2012-01. Repetitive DNA and next-generation sequencing: computational challenges and solutions in NATURE REVIEWS GENETICS
  • 2015-11. Genetic variation and the de novo assembly of human genomes in NATURE REVIEWS GENETICS
  • 2017-12. Single-molecule sequencing and Hi-C-based proximity-guided assembly of amaranth (Amaranthus hypochondriacus) chromosomes provide insights into genome evolution in BMC BIOLOGY
  • 2017-12. Hybrid de novo genome assembly and centromere characterization of the gray mouse lemur (Microcebus murinus) in BMC BIOLOGY
  • 2018-11. Improved reference genome of Aedes aegypti informs arbovirus vector control in NATURE
  • 2015-12. LINKS: Scalable, alignment-free scaffolding of draft genomes with long reads in GIGASCIENCE
  • 2018-01. Hidden genetic variation shapes the structure of functional elements in Drosophila in NATURE GENETICS
  • 2016-07. A hybrid approach for de novo human genome sequence assembly and phasing in NATURE METHODS
  • 2017-07. High-quality de novo assembly of the apple genome and methylome dynamics of early fruit development in NATURE GENETICS
  • 2012-04-04. The genomic basis of adaptive evolution in threespine sticklebacks in NATURE
  • 2013-12. Chromosome-scale scaffolding of de novo genome assemblies based on chromatin interactions in NATURE BIOTECHNOLOGY
  • 2013-12. High-throughput genome scaffolding from in vivo DNA interaction frequency in NATURE BIOTECHNOLOGY
  • 2016-06. Activity of telomerase and telomeric length in Apis mellifera in CHROMOSOMA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12864-019-5642-0

    DOI

    http://dx.doi.org/10.1186/s12864-019-5642-0

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1113300183

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30961563


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