Evidence map›Paper›PMID 20628037›Full record

ArticleGenetics2010

Association mapping of quantitative disease resistance in a natural population of loblolly pine (Pinus taeda L.).

Tania Quesada, Vikneswaran Gopal, W Patrick Cumbie, Andrew J Eckert, Jill L Wegrzyn, David B Neale, Barry Goldfarb, Dudley A Huber, George Casella, John M Davis

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.3field-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

29 citing papers in PubMed, 111 citations in OpenAlex.

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  7. Co-Infections byPlants (Basel, Switzerland) · 2021
    Article
  8. International journal of molecular sciences · 2021
    Review
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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

10 authors at 3 institutions in 1 country.

Tania QuesadaGenetics Institute, University of Florida, Gainesville, FL 32610, USA.
Vikneswaran Gopal
W Patrick Cumbie
Andrew J Eckert
Jill L Wegrzyn
David B Neale
Barry Goldfarb
Dudley A Huber
George Casella
John M Davis
North Carolina State University · USUniversity of California, Davis · USUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic resistance to disease incited by necrotrophic pathogens is not well understood in plants. Whereas resistance is often quantitative, there is limited information on the genes that underpin quantitative variation in disease resistance. We used a population genomic approach to identify genes in loblolly pine (Pinus taeda) that are associated with resistance to pitch canker, a disease incited by the necrotrophic pathogen Fusarium circinatum. A set of 498 largely unrelated, clonally propagated genotypes were inoculated with F. circinatum microconidia and lesion length, a measure of disease resistance, data were collected 4, 8, and 12 weeks after inoculation. Best linear unbiased prediction was used to adjust for imbalance in number of observations and to identify highly susceptible and highly resistant genotypes ("tails"). The tails were reinoculated to validate the results of the full population screen. Significant associations were detected in 10 single nucleotide polymorphisms (SNPs) (out of 3938 tested). As hypothesized for genes involved in quantitative resistance, the 10 SNPs had small effects and proposed roles in basal resistance, direct defense, and signal transduction. We also discovered associated genes with unknown function, which would have remained undetected in a candidate gene approach constrained by annotation for disease resistance or stress response.

Indexed as

Chromosome MappingFusariumGenes, PlantGenetic Association StudiesGenetic LinkageGenetic VariationGenotypeHost-Pathogen InteractionsImmunity, InnateInheritance PatternsPhenotypePinus taedaPlant DiseasesPolymorphism, Single Nucleotide

Identifiers

PMID20628037
PMCPMC2954465
OpenAlexW2119923856

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.