Evidence map›Paper›PMID 33638599›Full record

ArticlePlant biotechnology journal2021

Uncovering candidate genes involved in photosynthetic capacity using unexplored genetic variation in Spring Wheat.

Ryan Joynson, Gemma Molero, Benedict Coombes, Laura-Jayne Gardiner, Carolina Rivera-Amado, Francisco J Piñera-Chávez, John R Evans, Robert T Furbank, Matthew P Reynolds, Anthony Hall

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Triticeae crop genome biology: an endless frontier.Frontiers in plant science · 2023
    Review
  7. Review
  8. Genetics as a key to improving crop photosynthesis.Journal of experimental botany · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. 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

10 authors.

Ryan Joynson *The Earlham Institute, Norwich, UK.ORCID 0000-0002-7979-4725
Gemma Molero *Global Wheat Program, International Maize and Wheat Improvement Centre (CIMMYT), Texcoco, Mexico.ORCID 0000-0002-6431-7563
Benedict CoombesThe Earlham Institute, Norwich, UK.
Laura-Jayne GardinerThe Earlham Institute, Norwich, UK.ORCID 0000-0002-9177-4452
Carolina Rivera-AmadoGlobal Wheat Program, International Maize and Wheat Improvement Centre (CIMMYT), Texcoco, Mexico.ORCID 0000-0002-3734-9957
Francisco J Piñera-ChávezGlobal Wheat Program, International Maize and Wheat Improvement Centre (CIMMYT), Texcoco, Mexico.ORCID 0000-0001-7868-2396
John R EvansARC Centre of Excellence for Translational Photosynthesis, Australian National University, Canberra, Australia.
Robert T FurbankARC Centre of Excellence for Translational Photosynthesis, Australian National University, Canberra, Australia.ORCID 0000-0001-8700-6613
Matthew P ReynoldsGlobal Wheat Program, International Maize and Wheat Improvement Centre (CIMMYT), Texcoco, Mexico.
Anthony HallThe Earlham Institute, Norwich, UK.ORCID 0000-0002-1806-020X

Funding

Biotechnology and Biological Sciences Research Council BB/N020871/1Biotechnology and Biological Sciences Research Council BB/P016855/1
6 · The paper itself

Abstract

To feed an ever-increasing population we must leverage advances in genomics and phenotyping to harness the variation in wheat breeding populations for traits like photosynthetic capacity which remains unoptimized. Here we survey a diverse set of wheat germplasm containing elite, introgression and synthetic derivative lines uncovering previously uncharacterized variation. We demonstrate how strategic integration of exotic material alleviates the D genome genetic bottleneck in wheat, increasing SNP rate by 62% largely due to Ae. tauschii synthetic wheat donors. Across the panel, 67% of the Ae. tauschii donor genome is represented as introgressions in elite backgrounds. We show how observed genetic variation together with hyperspectral reflectance data can be used to identify candidate genes for traits relating to photosynthetic capacity using association analysis. This demonstrates the value of genomic methods in uncovering hidden variation in wheat and how that variation can assist breeding efforts and increase our understanding of complex traits.

Indexed as

Plant BreedingTriticumGenetic VariationPhenotypePoaceaeAegilops Tauschiicapture sequencingexotic materialGWAShyperspectral reflectanceTriticum aestivum

Identifiers

PMID33638599
PMCPMC8384606

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.