Evidence map›Paper›PMID 28770301›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2017

Genome-wide association mapping reveals a rich genetic architecture of stripe rust resistance loci in emmer wheat (Triticum turgidum ssp. dicoccum).

Weizhen Liu, Marco Maccaferri, Xianming Chen, Gaetano Laghetti, Domenico Pignone, Michael Pumphrey, Roberto Tuberosa

Open access · hybridAbstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
8.6field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 52 citations in OpenAlex.

  1. Genome-wide association studies reveal genomic regions for kernel-related traits in durum wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Identification and fine-mapping of QYrAS286-2BL conferring adult-plant resistance to stripe rust in cultivated emmer wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  7. Article
  8. Article
  9. Progress in rice sheath blight resistance research.Frontiers in plant science · 2023
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

7 authors at 4 institutions in 2 countries.

Weizhen LiuDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, 99164-6420, USA.
Marco MaccaferriDepartment of Agricultural Sciences, University of Bologna, 40127, Bologna, Italy.
Xianming ChenWheat Health, Genetics, and Quality Research Unit, USDA-ARS, Pullman, WA, 99164-6430, USA.
Gaetano LaghettiCNR-Institute of Biosciences and Bioresources, 072006, Bari, Italy.
Domenico PignoneCNR-Institute of Biosciences and Bioresources, 072006, Bari, Italy.
Michael PumphreyDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, 99164-6420, USA. m.pumphrey@wsu.edu.
Roberto TuberosaDepartment of Agricultural Sciences, University of Bologna, 40127, Bologna, Italy.
Institute of Biosciences and Bioresources · ITUniversity of Bologna · ITQuality Research · USWashington State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageSNP-based genome scanning in worldwide domesticated emmer germplasm showed high genetic diversity, rapid linkage disequilibrium decay and 51 loci for stripe rust resistance, a large proportion of which were novel. Cultivated emmer wheat (Triticum turgidum ssp. dicoccum), one of the oldest domesticated crops in the world, is a potentially rich reservoir of variation for improvement of resistance/tolerance to biotic and abiotic stresses in wheat. Resistance to stripe rust (Puccinia striiformis f. sp. tritici) in emmer wheat has been under-investigated. Here, we employed genome-wide association (GWAS) mapping with a mixed linear model to dissect effective stripe rust resistance loci in a worldwide collection of 176 cultivated emmer wheat accessions. Adult plants were tested in six environments and seedlings were evaluated with five races from the United States and one from Italy under greenhouse conditions. Five accessions were resistant across all experiments. The panel was genotyped with the wheat 90,000 Illumina iSelect single nucleotide polymorphism (SNP) array and 5106 polymorphic SNP markers with mapped positions were obtained. A high level of genetic diversity and fast linkage disequilibrium decay were observed. In total, we identified 14 loci associated with field resistance in multiple environments. Thirty-seven loci were significantly associated with all-stage (seedling) resistance and six of them were effective against multiple races. Of the 51 total loci, 29 were mapped distantly from previously reported stripe rust resistance genes or quantitative trait loci and represent newly discovered resistance loci. Our results suggest that GWAS is an effective method for characterizing genes in cultivated emmer wheat and confirm that emmer wheat is a rich source of stripe rust resistance loci that can be used for wheat improvement.

Indexed as

BasidiomycotaChromosome MappingDisease ResistanceGenetic Association StudiesGenetic MarkersLinear ModelsLinkage DisequilibriumPhenotypePlant DiseasesPolymorphism, Single NucleotideQuantitative Trait LociTriticumGenetic Markers

Identifiers

PMID28770301
PMCPMC5641275
OpenAlexW2740739292

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.