Evidence map›Paper›PMID 41058566›Full record

ArticleThe plant genome2025

A public mid-density genotyping platform for cultivated cranberry (Vaccinium macrocarpon Aiton).

Shufen Chen, Meng Lin, Cristiane H Taniguti, Xuemei Tang, Fernando de la Torre, Gina M Sideli, Massimo Iorizzo, Patrick P Edger, Jeffrey Neyhart, Juan Zalapa and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The plant genome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Standardized microhaplotype databases and frameworks for assessing and mining crop genetic diversity.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Article
  3. Article
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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

15 authors.

Shufen ChenCornell Institute of Biotechnology, Breeding Insight, Cornell University, Ithaca, New York, USA.ORCID https://orcid.org/0000-0003-0577-2598
Meng LinCornell Institute of Biotechnology, Breeding Insight, Cornell University, Ithaca, New York, USA.ORCID https://orcid.org/0000-0001-5216-6430
Cristiane H TanigutiCornell Institute of Biotechnology, Breeding Insight, Cornell University, Ithaca, New York, USA.ORCID https://orcid.org/0000-0002-2021-6883
Xuemei TangCornell Institute of Biotechnology, Breeding Insight, Cornell University, Ithaca, New York, USA.ORCID https://orcid.org/0009-0003-9083-4673
Fernando de la TorreUSDA-ARS, Cranberry Genetics and Genomics Laboratory, Vegetable Crops Research Unit, Department of Plant and Agroecosystem Sciences, Madison, Wisconsin, USA.ORCID https://orcid.org/0009-0002-2039-2446
Gina M SideliUSDA-ARS, Chatsworth, New Jersey, USA.ORCID https://orcid.org/0000-0003-1056-1496
Massimo IorizzoDepartment of Horticultural Science, North Carolina State University, Kannapolis, North Carolina, USA.ORCID https://orcid.org/0000-0002-0032-8247
Patrick P EdgerDepartment of Horticulture, Michigan State University, East Lansing, Michigan, USA.ORCID https://orcid.org/0000-0001-6836-3041
Jeffrey NeyhartGenetic Improvement for Fruits & Vegetables Laboratory, USDA-ARS, Chatsworth, New Jersey, USA.ORCID https://orcid.org/0000-0002-1991-5310
Juan ZalapaUSDA-ARS, Cranberry Genetics and Genomics Laboratory, Vegetable Crops Research Unit, Department of Plant and Agroecosystem Sciences, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0001-8840-3565
Nahla BassilUSDA-ARS National Clonal Germplasm Repository, Corvallis, Oregon, USA.ORCID https://orcid.org/0000-0001-8625-2740
Kasia Heller-UszynskaDiversity Arrays Technology, University of Canberra, Bruce, Australian Capital Territory, Australia.ORCID https://orcid.org/0009-0009-5536-8949
Dongyan ZhaoCornell Institute of Biotechnology, Breeding Insight, Cornell University, Ithaca, New York, USA.ORCID https://orcid.org/0000-0002-2080-8416
Craig T BeilCornell Institute of Biotechnology, Breeding Insight, Cornell University, Ithaca, New York, USA.ORCID https://orcid.org/0000-0002-1756-9987
Moira J SheehanCornell Institute of Biotechnology, Breeding Insight, Cornell University, Ithaca, New York, USA.ORCID https://orcid.org/0000-0002-3400-2165

Funding

ARS 5090-21220-007-00-DARS 8042-21000-023-000DARS 8062-21000-043-004-AARS 8062-21000-052-002-AARS 8062-21000-052-003-ANIFA 2019-51181-30015USDA
6 · The paper itself

Abstract

Cranberry (Vaccinium macrocarpon Aiton), a native North American fruit crop, has gained global popularity due to its unique flavor and health benefits. As the market expands for new cranberry products, the requirements to produce varieties that meet new standards have increased. DNA-assisted breeding in cranberry has been limited due to the lack of cost-effective genotyping tools. To address this gap, Breeding Insight developed and validated a 3K DArTag panel. Target loci were strategically selected from 507K single-nucleotide polymorphisms (SNPs), generated from resequencing 53 diverse cultivated cranberry accessions. Selection criteria prioritized even genomic distribution, genic regions, maximum genetic diversity among North American breeding germplasm, and markers associated with known quantitative trait loci. The cranberry 3K DArTag panel was validated using a diverse collection of cranberry accessions, interspecific hybrids, and two F

Indexed as

Genotyping TechniquesVaccinium macrocarponGenome, PlantGenotypePlant BreedingPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID41058566
PMCPMC12505202

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.