Assembly and characterization of the genome of chard (Beta vulgaris ssp. vulgaris var. cicla).

Cultigroup Genome annotation Genome assembly Genomic variation Leaf beet Synteny

Journal

Journal of biotechnology
ISSN: 1873-4863
Titre abrégé: J Biotechnol
Pays: Netherlands
ID NLM: 8411927

Informations de publication

Date de publication:
10 Jun 2021
Historique:
received: 11 01 2021
revised: 09 04 2021
accepted: 25 04 2021
pubmed: 2 5 2021
medline: 25 9 2021
entrez: 1 5 2021
Statut: ppublish

Résumé

Chard (Beta vulgaris ssp. vulgaris var. cicla) is a member of one of four different cultigroups of beets. While the genome of sugar beet, the most prominent beet crop, has been studied extensively, molecular data on other beet cultivars is scant. Here, we present a genome assembly of chard, a vegetable crop grown for its fleshy leaves. We report a de novo genome assembly of 604 Mbp, slightly larger than sugar beet assemblies presented so far. About 57 % of the assembly was annotated as repetitive sequence, of which LTR retrotransposons were the most abundant. Based on the presence of conserved genes, the chard assembly was estimated to be at least 96 % complete regarding its gene space. We predicted 34,521 genes of which 27,582 genes were supported by evidence from transcriptomic sequencing reads, and 5503 of the evidence-supported genes had multiple isoforms. We compared the chard gene set with gene sets from sugar beet and two wild beets (i.e. Beta vulgaris ssp. maritima and Beta patula) to find orthology relationships and identified genome-wide syntenic regions between chard and sugar beet. Lastly, we determined genomic variants that distinguish sugar beet and chard. Assessing the variation distribution along the chard chromosomes, we found extensive haplotype sharing between the two cultivars. In summary, our work provides a foundation for the molecular analysis of Beta vulgaris cultigroups as a basis for chard genomics and to unravel the domestication history of beet crops.

Identifiants

pubmed: 33932500
pii: S0168-1656(21)00112-7
doi: 10.1016/j.jbiotec.2021.04.007
pii:
doi:

Substances chimiques

Retroelements 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

67-76

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Auteurs

Reinhard Lehner (R)

Institute of Computational Biology, Department of Biotechnology, University of Life Sciences and Natural Resources, Vienna (BOKU), Muthgasse 18, 1190 Vienna, Austria.

Lisa Blazek (L)

Institute of Computational Biology, Department of Biotechnology, University of Life Sciences and Natural Resources, Vienna (BOKU), Muthgasse 18, 1190 Vienna, Austria.

André E Minoche (AE)

Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, NSW 2010, Australia.

Juliane C Dohm (JC)

Institute of Computational Biology, Department of Biotechnology, University of Life Sciences and Natural Resources, Vienna (BOKU), Muthgasse 18, 1190 Vienna, Austria. Electronic address: dohm@boku.ac.at.

Heinz Himmelbauer (H)

Institute of Computational Biology, Department of Biotechnology, University of Life Sciences and Natural Resources, Vienna (BOKU), Muthgasse 18, 1190 Vienna, Austria. Electronic address: heinz.himmelbauer@boku.ac.at.

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Classifications MeSH