Evidence map›Paper›PMID 24692652›Full record

SynthesisJournal of experimental botany2014

QTL meta-analysis in Arabidopsis reveals an interaction between leaf senescence and resource allocation to seeds.

Fabien Chardon, Sophie Jasinski, Monique Durandet, Alain Lécureuil, Fabienne Soulay, Magali Bedu, Philippe Guerche, Céline Masclaux-Daubresse

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of experimental botany, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
7.5field-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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Genome-wide meta-QTL approach identifies consensus loci associated with agriculturally important tomato fruit traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  7. Review
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  9. Review
  10. Meta-QTL analysis and candidate genes identification for various abiotic stresses in maize (Molecular breeding : new strategies in plant improvement · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. ThePlant direct · 2019
    Article
  17. Article
  18. QTL Landscape for Oil Content inFrontiers in plant science · 2018
    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

8 authors at 1 institution in 1 country.

Fabien ChardonUMR1318 INRA AgroParisTech, Institut Jean-Pierre Bourgin, INRA Versailles, Route Saint Cyr, 78026 Versailles Cedex, France Fabien.Chardon@versailles.inra.fr.
Sophie JasinskiUMR1318 INRA AgroParisTech, Institut Jean-Pierre Bourgin, INRA Versailles, Route Saint Cyr, 78026 Versailles Cedex, France.
Monique DurandetUMR1318 INRA AgroParisTech, Institut Jean-Pierre Bourgin, INRA Versailles, Route Saint Cyr, 78026 Versailles Cedex, France.
Alain LécureuilUMR1318 INRA AgroParisTech, Institut Jean-Pierre Bourgin, INRA Versailles, Route Saint Cyr, 78026 Versailles Cedex, France.
Fabienne SoulayUMR1318 INRA AgroParisTech, Institut Jean-Pierre Bourgin, INRA Versailles, Route Saint Cyr, 78026 Versailles Cedex, France.
Magali BeduUMR1318 INRA AgroParisTech, Institut Jean-Pierre Bourgin, INRA Versailles, Route Saint Cyr, 78026 Versailles Cedex, France.
Philippe GuercheUMR1318 INRA AgroParisTech, Institut Jean-Pierre Bourgin, INRA Versailles, Route Saint Cyr, 78026 Versailles Cedex, France.
Céline Masclaux-DaubresseUMR1318 INRA AgroParisTech, Institut Jean-Pierre Bourgin, INRA Versailles, Route Saint Cyr, 78026 Versailles Cedex, France.
AgroParisTech · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequential and monocarpic senescence are observed at vegetative and reproductive stages, respectively. Both facilitate nitrogen (N) remobilization and control the duration of carbon (C) fixation. Genetic and environmental factors control N and C resource allocation to seeds. Studies of natural variation in Arabidopsis thaliana revealed differences between accessions for leaf senescence phenotypes, seed N and C contents, and N remobilization efficiency-related traits. Here, a quantitative genetics approach was used to gain a better understanding of seed filling regulation in relation to leaf senescence and resource allocation. For that purpose, three Arabidopsis recombinant inbred line populations (Ct-1×Col-0, Cvi-0×Col-0, Bur-0×Col-0) were used to map QTL (quantitative trait loci) for ten traits related to senescence, resource allocation, and seed filling. The use of common markers across the three different maps allowed direct comparisons of the positions of the detected QTL in a single consensus map. QTL meta-analysis was then used to identify interesting regions (metaQTL) where QTL for several traits co-localized. MetaQTL were compared with positions of candidate genes known to be involved in senescence processes and flowering time. Finally, investigation of the correlation between yield and seed N concentration in the three populations suggests that leaf senescence disrupts the negative correlation generally observed between these two traits.

Indexed as

ArabidopsisChromosome MappingFlowersGenetic Association StudiesInbreedingModels, GeneticPhenotypePlant LeavesQuantitative Trait, HeritableQuantitative Trait LociSeedsflowering time.harvest indexLeaf senescencenitrogen and carbon allocationyield

Identifiers

PMID24692652
PMCPMC4106442
OpenAlexW2157370163

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.