Evidence map›Paper›PMID 33239669›Full record

ArticleCommunications biology2020

A haplotype-led approach to increase the precision of wheat breeding.

Jemima Brinton, Ricardo H Ramirez-Gonzalez, James Simmonds, Luzie Wingen, Simon Orford, Simon Griffiths, 10 Wheat Genome Project, Georg Haberer, Manuel Spannagl, Sean Walkowiak and 2 more

Abstract read
In one paragraph

Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

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  15. Banana breeding by genome design.Journal of integrative plant biology · 2025
    Review
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1 more citing papers are in PubMed but not listed here.

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

12 authors.

Jemima BrintonJohn Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK. j.brinton@kew.org.
Ricardo H Ramirez-GonzalezJohn Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK.ORCID 0000-0001-5745-7085
James SimmondsJohn Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK.
Luzie WingenJohn Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK.
Simon OrfordJohn Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK.
Simon GriffithsJohn Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK.
10 Wheat Genome Project
Georg HabererHelmholtz Zentrum München - Research Center for Environmental Health, Neuherberg, Germany.
Manuel SpannaglHelmholtz Zentrum München - Research Center for Environmental Health, Neuherberg, Germany.
Sean WalkowiakUniversity of Saskatchewan, Crop Development Centre, Saskatoon, Saskatchewan, Canada.
Curtis PozniakUniversity of Saskatchewan, Crop Development Centre, Saskatoon, Saskatchewan, Canada.
Cristobal UauyJohn Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK. cristobal.uauy@jic.ac.uk.ORCID 0000-0002-9814-1770

Funding

Biotechnology and Biological Sciences Research Council BB/P013511/1Biotechnology and Biological Sciences Research Council BB/P016855/1Biotechnology and Biological Sciences Research Council BBS/E/J/000C0617Biotechnology and Biological Sciences Research Council BBS/E/J/000C0628
6 · The paper itself

Abstract

Crop productivity must increase at unprecedented rates to meet the needs of the growing worldwide population. Exploiting natural variation for the genetic improvement of crops plays a central role in increasing productivity. Although current genomic technologies can be used for high-throughput identification of genetic variation, methods for efficiently exploiting this genetic potential in a targeted, systematic manner are lacking. Here, we developed a haplotype-based approach to identify genetic diversity for crop improvement using genome assemblies from 15 bread wheat (Triticum aestivum) cultivars. We used stringent criteria to identify identical-by-state haplotypes and distinguish these from near-identical sequences (~99.95% identity). We showed that each cultivar shares ~59 % of its genome with other sequenced cultivars and we detected the presence of extended haplotype blocks containing hundreds to thousands of genes across all wheat chromosomes. We found that genic sequence alone was insufficient to fully differentiate between haplotypes, as were commonly used array-based genotyping chips due to their gene centric design. We successfully used this approach for focused discovery of novel haplotypes from a landrace collection and documented their potential for trait improvement in modern bread wheat. This study provides a framework for defining and exploiting haplotypes to increase the efficiency and precision of wheat breeding towards optimising the agronomic performance of this crucial crop.

Indexed as

Genetic VariationGenome, PlantGenomicsGenotyping TechniquesHaplotypesPlant BreedingTriticum

Identifiers

PMID33239669
PMCPMC7689427

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Registered trials

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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.