Evidence map›Paper›PMID 37940627›Full record

ArticleThe plant genome2023

A medium-density genotyping platform for cultivated strawberry using DArTag technology.

Michael A Hardigan, Mitchell J Feldmann, Jason Carling, Anyu Zhu, Andrzej Kilian, Randi A Famula, Glenn S Cole, Steven J Knapp

Open access · goldAbstract read
In one paragraph

Article in The plant genome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.2field-weighted citation impact, top 5% of its field
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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Standardized microhaplotype databases and frameworks for assessing and mining crop genetic diversity.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Why usefulness is rarely useful.G3 (Bethesda, Md.) · 2025
    Article
  7. Article
  8. Genomic selection for crop improvement in fruits and vegetables: a systematic scoping review.Molecular breeding : new strategies in plant improvement · 2024
    Article
  9. Article
  10. Article
  11. Article
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

8 authors at 3 institutions in 2 countries.

Michael A HardiganUSDA-ARS, Horticultural Crops Production and Genetic Improvement Research Unit, Corvallis, Oregon, USA.ORCID 0000-0001-6926-7561
Mitchell J FeldmannDepartment of Plant Sciences, University of California Davis, Davis, California, USA.ORCID 0000-0002-7257-3401
Jason CarlingDiversity Arrays Technology, University of Canberra, Bruce, Australian Capital Territory, Australia.
Anyu ZhuDiversity Arrays Technology, University of Canberra, Bruce, Australian Capital Territory, Australia.
Andrzej KilianDiversity Arrays Technology, University of Canberra, Bruce, Australian Capital Territory, Australia.
Randi A FamulaDepartment of Plant Sciences, University of California Davis, Davis, California, USA.ORCID 0000-0001-8490-1989
Glenn S ColeDepartment of Plant Sciences, University of California Davis, Davis, California, USA.
Steven J KnappDepartment of Plant Sciences, University of California Davis, Davis, California, USA.ORCID 0000-0001-6498-5409
University of California, Davis · USUniversity of Canberra · AUHorticultural Crops Research Laboratory · US

Funding

California Strawberry CommissionNational Institute of Food and Agriculture 2017-51181-26833National Institute of Food and Agriculture 2022-51181-38328United States Department of AgricultureUniversity of California, DavisUSDA-ARS #2072-21000-058-000D
6 · The paper itself

Abstract

Genomic prediction in breeding populations containing hundreds to thousands of parents and seedlings is prohibitively expensive with current high-density genetic marker platforms designed for strawberry. We developed mid-density panels of molecular inversion probes (MIPs) to be deployed with the "DArTag" marker platform to provide a low-cost, high-throughput genotyping solution for strawberry genomic prediction. In total, 7742 target single nucleotide polymorphism (SNP) regions were used to generate MIP assays that were tested with a screening panel of 376 octoploid Fragaria accessions. We evaluated the performance of DArTag assays based on genotype segregation, amplicon coverage, and their ability to produce subgenome-specific amplicon alignments to the FaRR1 assembly and subsequent alignment-based variant calls with strong concordance to DArT's alignment-free, count-based genotype reports. We used a combination of marker performance metrics and physical distribution in the FaRR1 assembly to select 3K and 5K production panels for genotyping of large strawberry populations. We show that the 3K and 5K DArTag panels are able to target and amplify homologous alleles within subgenomic sequences with low-amplification bias between reference and alternate alleles, supporting accurate genotype calling while producing marker genotypes that can be treated as functionally diploid for quantitative genetic analysis. The 3K and 5K target SNPs show high levels of polymorphism in diverse F. × ananassa germplasm and UC Davis cultivars, with mean pairwise diversity (π) estimates of 0.40 and 0.32 and mean heterozygous genotype frequencies of 0.35 and 0.33, respectively.

Indexed as

FragariaChromosome MappingGenotypePlant BreedingPolymorphism, Single Nucleotide

Identifiers

PMID37940627
PMCPMC12807182
OpenAlexW4388509448

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.