Evidence map›Paper›PMID 39589284›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2024

A fully phased, chromosome-scale genome of sugar beet line FC309 enables the discovery of Fusarium yellows resistance QTL.

Olivia E Todd, Sheron Simpson, Brian Scheffler, Kevin M Dorn

Abstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Olivia E ToddUSDA-ARS, Soil Management and Sugar Beet Research Unit, Fort Collins, CO 80525, USA.
Sheron SimpsonUSDA-ARS, Genomics and Bioinformatics Research Unit, Stoneville, MS 38776, USA.
Brian SchefflerUSDA-ARS, Genomics and Bioinformatics Research Unit, Stoneville, MS 38776, USA.
Kevin M DornUSDA-ARS, Soil Management and Sugar Beet Research Unit, Fort Collins, CO 80525, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sugar beet (Beta vulgaris L.) is a global source of table sugar and animal fodder. Here we report a highly contiguous, haplotype phased genome assembly and annotation for sugar beet line FC309. Both assembled haplomes for FC309 represent the largest and most contiguous assembled beet genomes reported to date, as well as gene annotations sets that capture over 1,500 additional protein-coding loci compared to prior beet genome annotations. These new genomic resources were used to identify novel quantitative trait loci (QTL) for Fusarium yellows resistance from the FC309 genetic background using an F2 mapping-by-sequencing approach. The highest QTL signals were detected on Chromosome 3, spanning approximately 10Mbp in both haplomes. A parallel transcriptome profiling experiment identified candidate genes within the Chromosome 3 QTL with plausible roles in disease response, including NBS-LRR genes with expression trends supporting a role in resistance. Investigation of genetic variants in these candidate genes found 1 major disease-resistance protein containing high-effect variants of interest. Collectively, the genomic resources for FC309 presented here are foundational tools for comparative genomics, mapping other traits in the FC309 background, and as a reference genome for other beet studies due to its contiguity, completeness, and high-quality gene annotations.

Indexed as

Beta vulgarisChromosomes, PlantDisease ResistanceFusariumGenome, PlantPlant DiseasesQuantitative Trait LociChromosome MappingHaplotypesFusarium yellowsgenome assemblyquantitative trait lociresistance geneSugar beet

Identifiers

PMID39589284
PMCPMC11747354

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.