Contrasting origin of B chromosomes in two cervids (Siberian roe deer and grey brocket deer) unravelled by chromosome-specific DNA sequencing View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Alexey I. Makunin, Ilya G. Kichigin, Denis M. Larkin, Patricia C. M. O’Brien, Malcolm A. Ferguson-Smith, Fengtang Yang, Anastasiya A. Proskuryakova, Nadezhda V. Vorobieva, Ekaterina N. Chernyaeva, Stephen J. O’Brien, Alexander S. Graphodatsky, Vladimir A. Trifonov

ABSTRACT

BACKGROUND: B chromosomes are dispensable and variable karyotypic elements found in some species of animals, plants and fungi. They often originate from duplications and translocations of host genomic regions or result from hybridization. In most species, little is known about their DNA content. Here we perform high-throughput sequencing and analysis of B chromosomes of roe deer and brocket deer, the only representatives of Cetartiodactyla known to have B chromosomes. RESULTS: In this study we developed an approach to identify genomic regions present on chromosomes by high-throughput sequencing of DNA generated from flow-sorted chromosomes using degenerate-oligonucleotide-primed PCR. Application of this method on small cattle autosomes revealed a previously described KIT gene region translocation associated with colour sidedness. Implementing this approach to B chromosomes from two cervid species, Siberian roe deer (Capreolus pygargus) and grey brocket deer (Mazama gouazoubira), revealed dramatically different genetic content: roe deer B chromosomes consisted of two duplicated genomic regions (a total of 1.42-1.98 Mbp) involving three genes, while grey brocket deer B chromosomes contained 26 duplicated regions (a total of 8.28-9.31 Mbp) with 34 complete and 21 partial genes, including KIT and RET protooncogenes, previously found on supernumerary chromosomes in canids. Sequence variation analysis of roe deer B chromosomes revealed a high frequency of mutations and increased heterozygosity due to either amplification within B chromosomes or divergence between different Bs. In contrast, grey brocket deer B chromosomes were found to be more homogeneous and resembled autosomes in patterns of sequence variation. Similar tendencies were observed in repetitive DNA composition. CONCLUSIONS: Our data demonstrate independent origins of B chromosomes in the grey brocket and roe deer. We hypothesize that the B chromosomes of these two cervid species represent different stages of B chromosome sequences evolution: probably nascent and similar to autosomal copies in brocket deer, highly derived in roe deer. Based on the presence of the same orthologous protooncogenes in canids and brocket deer Bs we argue that genomic regions involved in B chromosome formation are not random. In addition, our approach is also applicable to the characterization of other evolutionary and clinical rearrangements. More... »

PAGES

618

References to SciGraph publications

  • 2009-10. Deep short-read sequencing of chromosome 17 from the mouse strains A/J and CAST/Ei identifies significant germline variation and candidate genes that regulate liver triglyceride levels in GENOME BIOLOGY
  • 2013-12. Transcription of a protein-coding gene on B chromosomes of the Siberian roe deer (Capreolus pygargus) in BMC BIOLOGY
  • 1987. Chromosome Evolution of Cervidae: Karyotypic and Molecular Aspects in CYTOGENETICS
  • 2010-04. High-throughput sequencing of microdissected chromosomal regions in EUROPEAN JOURNAL OF HUMAN GENETICS
  • 2010-05. Breakpoint analysis of balanced chromosome rearrangements by next-generation paired-end sequencing in EUROPEAN JOURNAL OF HUMAN GENETICS
  • 2009-01. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources in NATURE PROTOCOLS
  • 2008-11. Accurate whole human genome sequencing using reversible terminator chemistry in NATURE
  • 2011-08. Anchoring the dog to its relatives reveals new evolutionary breakpoints across 11 species of the Canidae and provides new clues for the role of B chromosomes in CHROMOSOME RESEARCH
  • 2012-12. Improving ancient DNA read mapping against modern reference genomes in BMC GENOMICS
  • 2011-12. The genome diversity and karyotype evolution of mammals in MOLECULAR CYTOGENETICS
  • 2009. Generation of Paint Probes by Flow-Sorted and Microdissected Chromosomes in FLUORESCENCE IN SITU HYBRIDIZATION (FISH) — APPLICATION GUIDE
  • 2008-07. DNA amplification is a ubiquitous mechanism of oncogene activation in lung and other cancers in ONCOGENE
  • 2013-12. The songbird syrinx morphome: a three-dimensional, high-resolution, interactive morphological map of the zebra finch vocal organ in BMC BIOLOGY
  • 2010-12. Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data in BMC BIOINFORMATICS
  • 2012-04. Fast gapped-read alignment with Bowtie 2 in NATURE METHODS
  • 2005-02. The proto-oncogene C-KIT maps to canid B-chromosomes in CHROMOSOME RESEARCH
  • 2000-03. A Comparative Chromosome Map of the Arctic Fox, Red Fox and Dog Defined by Chromosome Painting and High Resolution G-Banding in CHROMOSOME RESEARCH
  • 2014-08. Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle in NATURE GENETICS
  • 2007-04. The impact of translocations and gene fusions on cancer causation in NATURE REVIEWS CANCER
  • 2014-12. Genes on B chromosomes of vertebrates in MOLECULAR CYTOGENETICS
  • 2008-12. Small supernumerary marker chromosomes (sSMC) in humans; are there B chromosomes hidden among them in MOLECULAR CYTOGENETICS
  • 2010-09. Supernumerary chromosomes, segmental duplications, and evolution in RUSSIAN JOURNAL OF GENETICS
  • 2012-02-01. Serial translocation by means of circular intermediates underlies colour sidedness in cattle in NATURE
  • 1998-04. Mitochondrial DNA polymorphism in populations of Siberian and European roe deer (Capreolus pygargus and C. capreolus) in HEREDITY
  • 2013-08. Chinese hamster genome sequenced from sorted chromosomes in NATURE BIOTECHNOLOGY
  • 2011-12. Whole-genome resequencing shows numerous genes with nonsynonymous SNPs in the Japanese native cattle Kuchinoshima-Ushi in BMC GENOMICS
  • 1997-06. Chromosomal evolution of the Chinese muntjac (Muntiacus reevesi) in CHROMOSOMA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12864-016-2933-6

    DOI

    http://dx.doi.org/10.1186/s12864-016-2933-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1010546750

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27516089


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