Evidence map›Paper›PMID 29729219›Full record

ArticlePlant biotechnology journal2018

Finding invisible quantitative trait loci with missing data.

Iulian Gabur, Harmeet S Chawla, Xiwei Liu, Vinod Kumar, Sébastien Faure, Andreas von Tiedemann, Christophe Jestin, Emmanuelle Dryzska, Susann Volkmann, Frank Breuer and 3 more

Open access · goldAbstract read
In one paragraph

Article in Plant biotechnology journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
8.8field-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

25 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
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  5. Impact of Alien Chromosome Introgression fromPlants (Basel, Switzerland) · 2025
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  6. Homoeologous non-reciprocal translocation explains a major QTL for seed lignin content in oilseed rape (Brassica napus L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  7. Article
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  11. Article
  12. Article
  13. A novel deletion in FLOWERING LOCUS T modulates flowering time in winter oilseed rape.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. A 598-bp InDel Variation in the Promoter Region ofFrontiers in plant science · 2021
    Article
  19. Overcoming polyploidy pitfalls: a user guide for effective SNP conversion into KASP markers in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  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

13 authors at 7 institutions in 3 countries.

Iulian GaburDepartment of Plant Breeding, Justus Liebig University, Giessen, Germany.
Harmeet S ChawlaDepartment of Plant Breeding, Justus Liebig University, Giessen, Germany.
Xiwei LiuDepartment of Plant Breeding, Justus Liebig University, Giessen, Germany.
Vinod KumarIGEPP, INRA, AGROCAMPUS OUEST, Univ Rennes, Le Rheu, France.
Sébastien FaureBiogemma, Mondonville, France.
Andreas von TiedemannSection of General Plant Pathology and Crop Protection, Georg August University, Göttingen, Germany.
Christophe JestinTerres Inovia, Thiverval-Grignon, France.
Emmanuelle DryzskaSyngenta Seeds France SAS, Saint-Sauveur, France.
Susann VolkmannKWS SAAT SE, Einbeck, Germany.
Frank BreuerKWS SAAT SE, Einbeck, Germany.
Régine DelourmeIGEPP, INRA, AGROCAMPUS OUEST, Univ Rennes, Le Rheu, France.
Rod SnowdonDepartment of Plant Breeding, Justus Liebig University, Giessen, Germany.
Christian ObermeierDepartment of Plant Breeding, Justus Liebig University, Giessen, Germany.ORCID 0000-0001-5605-9106
Justus-Liebig-Universität Gießen · DEInstitut Agro Rennes-Angers · FRKWS Saat (Germany) · DEBiogemma (France) · FRSyngenta (Switzerland) · CHTerres Univia · FRUniversity of Göttingen · DE

Funding

ANR ANR-13-KBBE-0004-01BMBF 0315964BMBF 031A325European PLANT-KBBE-IV research funding programme for the French-German consortium GeWiDis
6 · The paper itself

Abstract

Evolutionary processes during plant polyploidization and speciation have led to extensive presence-absence variation (PAV) in crop genomes, and there is increasing evidence that PAV associates with important traits. Today, high-resolution genetic analysis in major crops frequently implements simple, cost-effective, high-throughput genotyping from single nucleotide polymorphism (SNP) hybridization arrays; however, these are normally not designed to distinguish PAV from failed SNP calls caused by hybridization artefacts. Here, we describe a strategy to recover valuable information from single nucleotide absence polymorphisms (SNaPs) by population-based quality filtering of SNP hybridization data to distinguish patterns associated with genuine deletions from those caused by technical failures. We reveal that including SNaPs in genetic analyses elucidate segregation of small to large-scale structural variants in nested association mapping populations of oilseed rape (Brassica napus), a recent polyploid crop with widespread structural variation. Including SNaP markers in genomewide association studies identified numerous quantitative trait loci, invisible using SNP markers alone, for resistance to two major fungal diseases of oilseed rape, Sclerotinia stem rot and blackleg disease. Our results indicate that PAV has a strong influence on quantitative disease resistance in B. napus and that SNaP analysis using cost-effective SNP array data can provide extensive added value from 'missing data'. This strategy might also be applicable for improving the precision of genetic mapping in many important crop species.

Indexed as

Brassica napusChromosome MappingDisease ResistanceGenetic VariationGenome-Wide Association StudyGenotyping TechniquesPolymorphism, Single NucleotideQuantitative Trait LociBrassica napuspresence-absence variationquantitative resistancesingle nucleotide absence polymorphismSNaP

Identifiers

PMID29729219
PMCPMC6230954
OpenAlexW2800341368

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.