Evidence map›Paper›PMID 35102721›Full record

ArticleThe plant genome2022

Chromosome-specific KASP markers for detecting Amblyopyrum muticum segments in wheat introgression lines.

Surbhi Grewal, Benedict Coombes, Ryan Joynson, Anthony Hall, John Fellers, Cai-Yun Yang, Duncan Scholefield, Stephen Ashling, Peter Isaac, Ian P King and 1 more

Open access · goldAbstract read
In one paragraph

Article in The plant genome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.0field-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

16 citing papers in PubMed, 28 citations in OpenAlex.

  1. The transfer of 98% of the genome of Aegilops mutica into wheat (Triticum aestivum).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. A segment ofFrontiers in plant science · 2025
    Article
  7. Article
  8. Review
  9. Review
  10. The 4T and 7T introgressions fromFrontiers in plant science · 2024
    Article
  11. Effectiveness ofInternational journal of molecular sciences · 2023
    Article
  12. Article
  13. Genomic characterization and gene bank curation ofFrontiers in plant science · 2023
    Article
  14. Article
  15. Article
  16. Introgression of theFrontiers in plant science · 2022
    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

11 authors at 3 institutions in 3 countries.

Surbhi GrewalNottingham BBSRC Wheat Research Centre, School of Biosciences, Univ. of Nottingham, Loughborough, UK.ORCID 0000-0002-0707-2504
Benedict CoombesEarlham Institute, Norwich Research Park, Norwich, UK.
Ryan JoynsonEarlham Institute, Norwich Research Park, Norwich, UK.
Anthony HallEarlham Institute, Norwich Research Park, Norwich, UK.
John FellersUSDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, KS, USA.
Cai-Yun YangNottingham BBSRC Wheat Research Centre, School of Biosciences, Univ. of Nottingham, Loughborough, UK.
Duncan ScholefieldNottingham BBSRC Wheat Research Centre, School of Biosciences, Univ. of Nottingham, Loughborough, UK.
Stephen AshlingNottingham BBSRC Wheat Research Centre, School of Biosciences, Univ. of Nottingham, Loughborough, UK.
Peter IsaaciDna Genetics Ltd., Norwich Research Park, Norwich, UK.
Ian P KingNottingham BBSRC Wheat Research Centre, School of Biosciences, Univ. of Nottingham, Loughborough, UK.
Julie KingNottingham BBSRC Wheat Research Centre, School of Biosciences, Univ. of Nottingham, Loughborough, UK.
University of Nottingham · GBNorwich Research Park · GBCenter for Grain and Animal Health Research · US

Funding

Biotechnology and Biological Sciences Research Council BB/J004596/1Biotechnology and Biological Sciences Research Council BB/P016855/1
6 · The paper itself

Abstract

Many wild-relative species are being used in prebreeding programs to increase the genetic diversity of wheat (Triticum aestivum L.). Genotyping tools such as single nucleotide polymorphism (SNP)-based arrays and molecular markers have been widely used to characterize wheat-wild relative introgression lines. However, due to the polyploid nature of the recipient wheat genome, it is difficult to develop SNP-based Kompetitive allele-specific polymerase chain reaction (KASP) markers that are codominant to track the introgressions from the wild species. Previous attempts to develop KASP markers have involved both exome- and polymerase chain reaction (PCR)-amplicon-based sequencing of the wild species. But chromosome-specific KASP assays have been hindered by homoeologous SNPs within the wheat genome. This study involved whole genome sequencing of the diploid wheat wild relative Amblyopyrum muticum (Boiss.) Eig and development of a de novo SNP discovery pipeline that generated ∼38,000 SNPs in unique wheat genome sequences. New assays were designed to increase the density of Am. muticum polymorphic KASP markers. With a goal of one marker per 60 Mbp, 335 new KASP assays were validated as diagnostic for Am. muticum in a wheat background. Together with assays validated in previous studies, 498 well distributed chromosome-specific markers were used to recharacterize previously genotyped wheat-Am. muticum doubled haploid (DH) introgression lines. The chromosome-specific nature of the KASP markers allowed clarification of which wheat chromosomes were involved with recombination events or substituted with Am. muticum chromosomes and the higher density of markers allowed detection of new small introgressions in these DH lines.

Indexed as

PoaceaeTriticumAllelesChromosomesGenetic MarkersPolymerase Chain ReactionGenetic Markers

Identifiers

PMID35102721
PMCPMC12807185
OpenAlexW4210327250

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.