Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 676

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

The genome of the recently domesticated crop plant sugar beet (Beta vulgaris)

Open access
Dohm, Juliane C., Minoche, André E., Holtgräwe, Daniela, Capella-Gutiérrez, Salvador, Zakrzewski, Falk, Tafer, Hakim, Rupp, Oliver, Sörensen, Thomas Rosleff, Stracke, Ralf, Reinhardt, Richard, Goesmann, Alexander, Kraft, Thomas, Schulz, Britta, Stadler, Peter F., Schmidt, Thomas, Gabaldón, Toni, Lehrach, Hans, Weisshaar, Bernd, Himmelbauer, Heinz·2014·Nature

Abstract

A full genome sequence is presented of sugar beet Beta vulgaris, the first plant belonging to Caryophyllales to have its genome sequenced; spinach was sequenced to enable inter-clade comparisons, and intraspecific variation was analysed by comparative genomics of a progenitor of all beet crops and additional sugar beet accessions. Industrial production of sugar from sugar beet (Beta vulgaris) began in Europe in the early nineteenth century, and in the intervening 200 years the sugar content of the commonly used cultivars has increased from 8% to 18%. A high-quality reference genome sequence for sugar beet is published in this issue, together with that of the related spinach plant (Spinacia oleracea) and assembled genomes from four additional sugar beet breeding lines. Information held in these genome sequences will be useful for the characterization of genes involved in sugar production and identification of targets for breeding efforts, as well as towards its application as a sustainable energy crop. Sugar beet (Beta vulgaris ssp. vulgaris) is an important crop of temperate climates which provides nearly 30% of the world’s annual sugar production and is a source for bioethanol and animal feed. The species belongs to the order of Caryophylalles, is diploid with 2n = 18 chromosomes, has an estimated genome size of 714–758 megabases1 and shares an ancient genome triplication with other eudicot plants2. Leafy beets have been cultivated since Roman times, but sugar beet is one of the most recently domesticated crops. It arose in the late eighteenth century when lines accumulating sugar in the storage root were selected from crosses made with chard and fodder beet3. Here we present a reference genome sequence for sugar beet as the first non-rosid, non-asterid eudicot genome, advancing comparative genomics and phylogenetic reconstructions. The genome sequence comprises 567 megabases, of which 85% could be assigned to chromosomes. The assembly covers a large proportion of the repetitive sequence content that was estimated4 to be 63%. We predicted 27,421 protein-coding genes supported by transcript data and annotated them on the basis of sequence homology. Phylogenetic analyses provided evidence for the separation of Caryophyllales before the split of asterids and rosids, and revealed lineage-specific gene family expansions and losses. We sequenced spinach (Spinacia oleracea), another Caryophyllales species, and validated features that separate this clade from rosids and asterids. Intraspecific genomic variation was analysed based on the genome sequences of sea beet (Beta vulgaris ssp. maritima; progenitor of all beet crops) and four additional sugar beet accessions. We identified seven million variant positions in the reference genome, and also large regions of low variability, indicating artificial selection. The sugar beet genome sequence enables the identification of genes affecting agronomically relevant traits, supports molecular breeding and maximizes the plant’s potential in energy biotechnology.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nature12817

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 676

Metadata

Authors
Dohm, J. C., Minoche, A. E., Holtgräwe, D., Capella-Gutiérrez, S., Zakrzewski, F., Tafer, H., Rupp, O., Sörensen, T. R., Stracke, R., Reinhardt, R., Goesmann, A., Kraft, T., Schulz, B., Stadler, P. F., Schmidt, T., Gabaldón, T., Lehrach, H., Weisshaar, B., & Himmelbauer, H.
Venue
Nature
Published
2013-12-18
Volume
505
Issue
7484
Pages
546-549
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2080923073
Cited by
676
References
5
FWCI
14.25
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.