Evidence map›Paper›PMID 30818353›Full record

ArticlePLoS biology2019

A large-scale pedigree resource of wheat reveals evidence for adaptation and selection by breeders.

Nick Fradgley, Keith A Gardner, James Cockram, James Elderfield, John M Hickey, Phil Howell, Robert Jackson, Ian J Mackay

Abstract read
In one paragraph

Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
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

51 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. PidTools: Algorithm and web tools for crop pedigree identification analysis.Computational and structural biotechnology journal · 2024
    Article
  14. Article
  15. Article
  16. A new winter wheat genetic resource harbors untapped diversity from synthetic hexaploid wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    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

8 authors.

Nick FradgleyThe John Bingham Laboratory, NIAB, Cambridge, United Kingdom.
Keith A GardnerThe John Bingham Laboratory, NIAB, Cambridge, United Kingdom.ORCID 0000-0002-4890-301X
James CockramThe John Bingham Laboratory, NIAB, Cambridge, United Kingdom.ORCID 0000-0002-1014-6463
James ElderfieldThe John Bingham Laboratory, NIAB, Cambridge, United Kingdom.ORCID 0000-0002-4656-4704
John M HickeyThe Roslin Institute, University of Edinburgh, Easter Bush, Midlothian, United Kingdom.
Phil HowellThe John Bingham Laboratory, NIAB, Cambridge, United Kingdom.
Robert JacksonThe John Bingham Laboratory, NIAB, Cambridge, United Kingdom.
Ian J MackayThe John Bingham Laboratory, NIAB, Cambridge, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/J002542/1Biotechnology and Biological Sciences Research Council BB/L020467/1Biotechnology and Biological Sciences Research Council BB/L022141/1Biotechnology and Biological Sciences Research Council BB/M011666/1
6 · The paper itself

Abstract

Information on crop pedigrees can be used to help maximise genetic gain in crop breeding and allow efficient management of genetic resources. We present a pedigree resource of 2,657 wheat (Triticum aestivum L.) genotypes originating from 38 countries, representing more than a century of breeding and variety development. Visualisation of the pedigree enables illustration of the key developments in United Kingdom wheat breeding, highlights the wide genetic background of the UK wheat gene pool, and facilitates tracing the origin of beneficial alleles. A relatively high correlation between pedigree- and marker-based kinship coefficients was found, which validated the pedigree and enabled identification of errors in the pedigree or marker data. Using simulations with a combination of pedigree and genotype data, we found evidence for significant effects of selection by breeders. Within crosses, genotypes are often more closely related than expected by simulations to one of the parents, which indicates selection for favourable alleles during the breeding process. Selection across the pedigree was demonstrated on a subset of the pedigree in which 110 genotyped varieties released before the year 2000 were used to simulate the distribution of marker alleles of 45 genotyped varieties released after the year 2000, in the absence of selection. Allelic diversity in the 45 varieties was found to deviate significantly from the simulated distributions at a number of loci, indicating regions under selection over this period. The identification of one of these regions as coinciding with a strong yield component quantitative trait locus (QTL) highlights both the potential of the remaining loci as wheat breeding targets for further investigation, as well as the utility of this pedigree-based methodology to identify important breeding targets in other crops. Further evidence for selection was found as greater linkage disequilibrium (LD) for observed versus simulated genotypes within all chromosomes. This difference was greater at shorter genetic distances, indicating that breeder selections have conserved beneficial linkage blocks. Collectively, this work highlights the benefits of generating detailed pedigree resources for crop species. The wheat pedigree database developed here represents a valuable community resource and will be updated as new varieties are released at https://www.niab.com/pages/id/501/UK_Wheat_varieties_Pedigree.

Indexed as

Adaptation, PhysiologicalBreedingAllelesChromosomes, PlantGenetic LinkageGenetic MarkersGenome, PlantGenotypeLinkage DisequilibriumPedigreePolymorphism, Single NucleotideTriticumGenetic Markers

Identifiers

PMID30818353
PMCPMC6413959

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.