Evidence map›Paper›PMID 28250720›Full record

ArticleHereditas2017

Genome-wide association study of rust traits in orchardgrass using SLAF-seq technology.

Bing Zeng, Haidong Yan, Xinchun Liu, Wenjing Zang, Ailing Zhang, Sifan Zhou, Linkai Huang, Jinping Liu

Open access · goldAbstract read
In one paragraph

Article in Hereditas, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Bing Zeng *Department of Animal Science, Southwest University, Rongchang, Chongqing, 402460 China.
Haidong Yan *Department of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130 China.
Xinchun LiuAgricultural College, Sichuan Agricultural University, Chengdu, 611130 China.
Wenjing ZangCollege of Life Science, China West Normal University, Nanchong, 637009 China.
Ailing ZhangDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130 China.
Sifan ZhouDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130 China.
Linkai HuangDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130 China.
Jinping LiuCollege of Life Science, China West Normal University, Nanchong, 637009 China.
Sichuan Agricultural University · CNChina West Normal University · CNSouthwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile orchardgrass (

resultsIn this study, a genome-wide association study (GWAS) was performed using specific-locus amplified fragment sequencing (SLAF-seq) technology in orchardgrass. A total of 2,334,889 SLAF tags were generated to produce 2,309,777 SNPs. ADMIXTURE analysis revealed unstructured subpopulations for 33 accessions, indicating that this orchardgrass population could be used for association analysis. Linkage disequilibrium (LD) analysis revealed an average r

conclusionsThe large number of SNPs associated with rust traits and these two candidate genes may provide the basis for further research on rust resistance mechanisms and marker-assisted selection (MAS) for rust-resistant lineages.

Indexed as

Polymorphism, Single NucleotideBasidiomycotaDactylisDisease ResistanceDNA, PlantGenes, PlantGenetic Association StudiesGenetic LinkageLinkage DisequilibriumPlant DiseasesSequence Analysis, DNADNA, PlantGenome-wide association studyOrchardgrassRust diseaseSLAF-seq

Identifiers

PMID28250720
PMCPMC5322626
OpenAlexW2590919539

What OpenQuestion holds

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LicenceCC BY
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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.