Evidence map›Paper›PMID 38887158›Full record

ArticleThe plant genome2024

Targeted genotyping-by-sequencing of potato and data analysis with R/polyBreedR.

Jeffrey B Endelman, Moctar Kante, Hannele Lindqvist-Kreuze, Andrzej Kilian, Laura M Shannon, Maria V Caraza-Harter, Brieanne Vaillancourt, Kathrine Mailloux, John P Hamilton, C Robin Buell

Erratum issuedAbstract read
In one paragraph

Article in The plant genome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Standardized microhaplotype databases and frameworks for assessing and mining crop genetic diversity.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. PotatoMASH is a cost-effective marker system for genomic prediction in potato based on short-read haplotypes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  9. Article
  10. Genetic basis for broad interspecific compatibility in Solanum verrucosum.The Plant journal : for cell and molecular biology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Jeffrey B EndelmanDepartment of Plant & Agroecosystem Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0003-0957-4337
Moctar KanteGenetics, Genomics and Crop Improvement, International Potato Center, Lima, Peru.ORCID https://orcid.org/0000-0003-4669-3132
Hannele Lindqvist-KreuzeGenetics, Genomics and Crop Improvement, International Potato Center, Lima, Peru.ORCID https://orcid.org/0000-0002-6523-8824
Andrzej KilianDiversity Arrays Technology Pty Ltd., University of Canberra, Bruce, Australian Capital Territory, Australia.
Laura M ShannonDepartment of Horticultural Science, University of Minnesota, Saint Paul, Minnesota, USA.ORCID https://orcid.org/0000-0003-3935-4909
Maria V Caraza-HarterDepartment of Plant & Agroecosystem Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0002-5934-1526
Brieanne VaillancourtCenter for Applied Genetic Technologies, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-6795-5173
Kathrine MaillouxCenter for Applied Genetic Technologies, University of Georgia, Athens, Georgia, USA.
John P HamiltonCenter for Applied Genetic Technologies, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-8682-5526
C Robin BuellCenter for Applied Genetic Technologies, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-6727-4677

Funding

CGIAR Crops to End Hunger InitiativeCGIAR Excellence in Breeding PlatformNational Institute of Food and Agriculture 2019-51181-30021National Institute of Food and Agriculture 2020-51181-32156National Institute of Food and Agriculture 2021-34141-35447PepsiCo
6 · The paper itself

Abstract

Mid-density targeted genotyping-by-sequencing (GBS) combines trait-specific markers with thousands of genomic markers at an attractive price for linkage mapping and genomic selection. A 2.5K targeted GBS assay for potato (Solanum tuberosum L.) was developed using the DArTag technology and later expanded to 4K targets. Genomic markers were selected from the potato Infinium single nucleotide polymorphism (SNP) array to maximize genome coverage and polymorphism rates. The DArTag and SNP array platforms produced equivalent dendrograms in a test set of 298 tetraploid samples, and 83% of the common markers showed good quantitative agreement, with RMSE (root mean squared error) <0.5. DArTag is suited for genomic selection candidates in the clonal evaluation trial, coupled with imputation to a higher density platform for the training population. Using the software polyBreedR, an R package for the manipulation and analysis of polyploid marker data, the RMSE for imputation by linkage analysis was 0.15 in a small half-diallel population (N = 85), which was significantly lower than the RMSE of 0.42 with the random forest method. Regarding high-value traits, the DArTag markers for resistance to potato virus Y, golden cyst nematode, and potato wart appeared to track their targets successfully, as did multi-allelic markers for maturity and tuber shape. In summary, the potato DArTag assay is a transformative and publicly available technology for potato breeding and genetics.

Indexed as

Genotyping TechniquesPolymorphism, Single NucleotideSolanum tuberosumAnimalsGenetic MarkersGenome, PlantGenotypeSequence Analysis, DNASoftwareGenetic Markers

Identifiers

PMID38887158
PMCPMC12807073

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.