Evidence map›Paper›PMID 23963398›Full record

ArticleScientific reports2013

The maize leaf lipidome shows multilevel genetic control and high predictive value for agronomic traits.

Christian Riedelsheimer, Yariv Brotman, Michaël Méret, Albrecht E Melchinger, Lothar Willmitzer

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
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  4. An adaptive teosinteProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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  6. Review
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  13. Review
  14. Fortune telling: metabolic markers of plant performance.Metabolomics : Official journal of the Metabolomic Society · 2016
    Review
  15. The Black-Box of Plant Apoplast Lipidomes.Frontiers in plant science · 2016
    Article
  16. 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

5 authors at 3 institutions in 1 country.

Christian RiedelsheimerInstitute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, Fruwirthstr. 21, 70593 Stuttgart, Germany.
Yariv Brotman
Michaël Méret
Albrecht E Melchinger
Lothar Willmitzer
Max Planck Institute of Molecular Plant Physiology · DEUniversity of Hohenheim · DEMax Planck Society · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the plant lipidome show an enormous level of structural and functional diversity, our knowledge about its genetic control and its connection to whole-plant phenotypes is very limited. Here, we profiled 563 lipid species with UPLC-FT-MS in 289 field-grown inbred lines genotyped with 56,110 SNPs. Genome-wide association study identified 174 associations for 76 lipids explaining up to 31.4% of the genetic variance (P-value 8.4 × 10(-18)). Candidate genes were found for lipid synthesis, breakdown, transfer, and protection against peroxidation. The detected SNP-lipid associations could be grouped into associations with 1) individual lipids, 2) lipids from one biochemical class, and 3) lipids from several classes, suggesting a multilevel genetic control architecture. We further found a strong connection between the lipidome and agronomic traits in field-evaluated hybrid progeny. A cross-validated prediction model yielded correlations of up to 0.78 suggesting that the lipidome accurately predicts agronomic traits relevant in hybrid maize breeding.

Indexed as

Genome, PlantLipid MetabolismLipidsPlant LeavesQuantitative Trait LociZea maysLipids

Identifiers

PMID23963398
PMCPMC3748857
OpenAlexW1990898878

What OpenQuestion holds

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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.