Evidence map›Paper›PMID 34668978›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2022

High-resolution association mapping with libraries of immortalized lines from ancestral landraces.

Tobias Würschum, Thea M Weiß, Juliane Renner, H Friedrich Utz, Alfons Gierl, Rafal Jonczyk, Lilla Römisch-Margl, Wolfgang Schipprack, Chris-Carolin Schön, Tobias A Schrag and 2 more

Open access · hybridAbstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

12 authors at 2 institutions in 1 country.

Tobias WürschumInstitute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, 70599, Stuttgart, Germany. tobias.wuerschum@uni-hohenheim.de.ORCID http://orcid.org/0000-0002-7397-7731
Thea M WeißInstitute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, 70599, Stuttgart, Germany.ORCID http://orcid.org/0000-0002-9809-6340
Juliane RennerInstitute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, 70599, Stuttgart, Germany.
H Friedrich UtzInstitute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, 70599, Stuttgart, Germany.
Alfons GierlGenetics, Technical University of Munich, Wissenschaftszentrum Weihenstephan, 85354, Freising, Germany.ORCID http://orcid.org/0000-0003-2331-7054
Rafal JonczykGenetics, Technical University of Munich, Wissenschaftszentrum Weihenstephan, 85354, Freising, Germany.ORCID http://orcid.org/0000-0001-7025-0855
Lilla Römisch-MarglGenetics, Technical University of Munich, Wissenschaftszentrum Weihenstephan, 85354, Freising, Germany.ORCID http://orcid.org/0000-0002-9937-5296
Wolfgang SchipprackInstitute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, 70599, Stuttgart, Germany.
Chris-Carolin SchönPlant Breeding, TUM School of Life Sciences, Technical University of Munich, 85354, Freising, Germany.
Tobias A SchragInstitute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, 70599, Stuttgart, Germany.
Willmar L LeiserState Plant Breeding Institute, University of Hohenheim, 70599, Stuttgart, Germany.ORCID http://orcid.org/0000-0001-5964-5610
Albrecht E MelchingerInstitute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, 70599, Stuttgart, Germany. melchinger@uni-hohenheim.de.ORCID http://orcid.org/0000-0002-8346-7786
University of Hohenheim · DETechnical University of Munich · DE

Funding

bundesministerium für bildung und forschung 0315527Bbundesministerium für bildung und forschung 03155528Ddeutsche forschungsgemeinschaft 328017493/GRK 2366
6 · The paper itself

Abstract

key messageAssociation mapping with immortalized lines of landraces offers several advantages including a high mapping resolution, as demonstrated here in maize by identifying the causal variants underlying QTL for oil content and the metabolite allantoin. Landraces are traditional varieties of crops that present a valuable yet largely untapped reservoir of genetic variation to meet future challenges of agriculture. Here, we performed association mapping in a panel comprising 358 immortalized maize lines from six European Flint landraces. Linkage disequilibrium decayed much faster in the landraces than in the elite lines included for comparison, permitting a high mapping resolution. We demonstrate this by fine-mapping a quantitative trait locus (QTL) for oil content down to the phenylalanine insertion F469 in DGAT1-2 as the causal variant. For the metabolite allantoin, related to abiotic stress response, we identified promoter polymorphisms and differential expression of an allantoinase as putative cause of variation. Our results demonstrate the power of this approach to dissect QTL potentially down to the causal variants, toward the utilization of natural or engineered alleles in breeding. Moreover, we provide guidelines for studies using ancestral landraces for crop genetic research and breeding.

Indexed as

Gene LibraryGenes, PlantQuantitative Trait LociGenetic Association StudiesLinkage DisequilibriumPhenotypePlant BreedingSpecies SpecificityZea mays

Identifiers

PMID34668978
PMCPMC8741726
OpenAlexW3206714620

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.