Evidence map›Paper›PMID 32654344›Full record

ArticleThe Plant journal : for cell and molecular biology2020

Genomic basis of white pine blister rust quantitative disease resistance and its relationship with qualitative resistance.

Matthew Weiss, Richard A Sniezko, Daniela Puiu, Marc W Crepeau, Kristian Stevens, Steven L Salzberg, Charles H Langley, David B Neale, Amanda R De La Torre

Open access · bronzeAbstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
10.0field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 60 citations in OpenAlex.

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  3. Population structure limits the use of genomic data for predicting phenotypes and managing genetic resources in forest trees.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

9 authors at 4 institutions in 1 country.

Matthew WeissSchool of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ, 86011, USA.
Richard A SniezkoDorena Genetic Resource Center, USDA Forest Service, Cottage-Grove, OR, 97424, USA.
Daniela PuiuDepartment of Biomedical Engineering, Computer Science and Biostatistics and Center for Computational Biology, Johns Hopkins University, 3100 Wyman Park Dr., Wyman Park Building Room S220, Baltimore, MD, 21211, USA.
Marc W CrepeauDepartment of Evolution and Ecology, University of California-Davis, One Shields Avenue, Davis, CA, 95616, USA.
Kristian StevensDepartment of Evolution and Ecology, University of California-Davis, One Shields Avenue, Davis, CA, 95616, USA.
Steven L SalzbergDepartment of Biomedical Engineering, Computer Science and Biostatistics and Center for Computational Biology, Johns Hopkins University, 3100 Wyman Park Dr., Wyman Park Building Room S220, Baltimore, MD, 21211, USA.
Charles H LangleyDepartment of Evolution and Ecology, University of California-Davis, One Shields Avenue, Davis, CA, 95616, USA.
David B NealeDepartment of Plant Sciences, University of California-Davis, One Shields Avenue, Davis, CA, 95616, USA.
Amanda R De La TorreSchool of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ, 86011, USA.ORCID 0000-0001-6647-723X
University of California, Davis · USJohns Hopkins University · USNorthern Arizona University · USUS Forest Service · US

Funding

Computational Methods for Genome Assembly, Transcript Assembly, and Variant DiscoveryR01HG006677 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI SALZBERG, STEVEN L. · 2011 to 2025
$10.7M
NHGRI NIH HHS R01 HG006677
6 · The paper itself

Abstract

The genomic architecture and molecular mechanisms controlling variation in quantitative disease resistance loci are not well understood in plant species and have been barely studied in long-generation trees. Quantitative trait loci mapping and genome-wide association studies were combined to test a large single nucleotide polymorphism (SNP) set for association with quantitative and qualitative white pine blister rust resistance in sugar pine. In the absence of a chromosome-scale reference genome, a high-density consensus linkage map was generated to obtain locations for associated SNPs. Newly discovered associations for white pine blister rust quantitative disease resistance included 453 SNPs involved in wide biological functions, including genes associated with disease resistance and others involved in morphological and developmental processes. In addition, NBS-LRR pathogen recognition genes were found to be involved in quantitative disease resistance, suggesting these newly reported genes are qualitative genes with partial resistance, they are the result of defeated qualitative resistance due to avirulent races, or they have epistatic effects on qualitative disease resistance genes. This study is a step forward in our understanding of the complex genomic architecture of quantitative disease resistance in long-generation trees, and constitutes the first step towards marker-assisted disease resistance breeding in white pine species.

Indexed as

BasidiomycotaChromosome MappingDisease ResistanceGenes, PlantGenetics, PopulationGenome, PlantGenome-Wide Association StudyPhenotypePinusPlant DiseasesPolymorphism, Single NucleotideQuantitative Trait LociGWASlinkage mappingQTL mappingsugar pinewhite pine blister rust

Identifiers

PMID32654344
PMCPMC10773528
OpenAlexW3041881216

What OpenQuestion holds

Textmetadata
LicenceTDM
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.