Evidence map›Paper›PMID 29188438›Full record

ArticleMolecular genetics and genomics : MGG2018

Mapping causal mutations by exome sequencing in a wheat TILLING population: a tall mutant case study.

Youngjun Mo, Tyson Howell, Hans Vasquez-Gross, Luis Alejandro de Haro, Jorge Dubcovsky, Stephen Pearce

Open access · hybridAbstract read
In one paragraph

Article in Molecular genetics and genomics : MGG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

38 citing papers in PubMed, 85 citations in OpenAlex.

  1. Advances in mutant characterization for detecting causal mutations in crop plants.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Fine Mapping of Stripe-Rust-Resistance GenePlants (Basel, Switzerland) · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

6 authors at 5 institutions in 3 countries.

Youngjun MoDepartment of Plant Sciences, University of California, Davis, CA, USA.
Tyson HowellDepartment of Plant Sciences, University of California, Davis, CA, USA.
Hans Vasquez-GrossDepartment of Plant Sciences, University of California, Davis, CA, USA.
Luis Alejandro de HaroInstituto de Biotecnología, Centro de Investigación en Ciencias Veterinarias y Agronómicas, Instituto Nacional de Tecnología Agropecuaria, Buenos Aires, Argentina.
Jorge DubcovskyDepartment of Plant Sciences, University of California, Davis, CA, USA.ORCID http://orcid.org/0000-0002-7571-4345
Stephen PearceDepartment of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, USA. stephen.pearce@colostate.edu.ORCID http://orcid.org/0000-0002-1794-7618
University of California, Davis · USColorado State University · USHoward Hughes Medical Institute · USNational Agricultural Technology Institute · ARRural Development Administration · KR

Funding

International Wheat Yield Partnership IWYP76
6 · The paper itself

Abstract

Forward genetic screens of induced mutant plant populations are powerful tools to identify genes underlying phenotypes of interest. Using traditional techniques, mapping causative mutations from forward screens is a lengthy, multi-step process, requiring the identification of a broad genetic region followed by candidate gene sequencing to characterize the causal variant. Mapping by whole genome sequencing accelerates the identification of causal mutations by simultaneously defining a mapping region and providing information on the induced genetic variants. In wheat, although the availability of a high-quality draft genome assembly facilitates mapping and mutation calling, whole genome resequencing remains prohibitively expensive due to its large genome. In the current study, we used exome sequencing as a complexity reduction strategy to detect mutations associated with a target phenotype. In a segregating wheat EMS population, we identified a clear peak region on chromosome arm 4BS associated with increased plant height. Although none of the significant SNPs seemed causative for the mutant phenotype, they were sufficient to identify a linked ~ 1.9 Mb deletion encompassing nine genes. These genes included Rht-B1, which is known to have a strong effect on plant height and is a strong candidate for the observed phenotype. We performed simulation experiments to determine the impacts of sequencing depth and bulk size and discuss the importance of considering each factor when designing mapping-by-sequencing experiments in wheat. This approach can accelerate the identification of candidate causal point mutations or linked deletions underlying important phenotypes.

Indexed as

MutationChromosome MappingChromosomes, PlantExome SequencingGenes, PlantGenetics, PopulationGenome, PlantGenotypePhenotypePolymorphism, Single NucleotideTriticumExome captureMutation mappingRht1Wheat

Identifiers

PMID29188438
PMCPMC5854723
OpenAlexW2768283207

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.