Evidence map›Paper›PMID 26473359›Full record

ArticlePLoS genetics2015

"Missing" G x E Variation Controls Flowering Time in Arabidopsis thaliana.

Eriko Sasaki, Pei Zhang, Susanna Atwell, Dazhe Meng, Magnus Nordborg

Abstract read
In one paragraph

Article in PLoS genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
–field-weighted citation impact
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

47 citing papers in PubMed.

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  16. Tree-based QTL mapping with expected local genetic relatedness matrices.bioRxiv : the preprint server for biology · 2023
    Article
  17. Article
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  19. meLife · 2022
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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.

Eriko SasakiGregor Mendel Institute, Austrian Academy of Sciences, Vienna Biocenter (VBC), Vienna, Austria.
Pei ZhangGregor Mendel Institute, Austrian Academy of Sciences, Vienna Biocenter (VBC), Vienna, Austria; Molecular and Computational Biology, University of Southern California, Los Angeles, California, United States of America.
Susanna AtwellMolecular and Computational Biology, University of Southern California, Los Angeles, California, United States of America.
Dazhe MengGregor Mendel Institute, Austrian Academy of Sciences, Vienna Biocenter (VBC), Vienna, Austria; Molecular and Computational Biology, University of Southern California, Los Angeles, California, United States of America.
Magnus NordborgGregor Mendel Institute, Austrian Academy of Sciences, Vienna Biocenter (VBC), Vienna, Austria.

Funding

Implications of haplotype structure in the human genomeP50HG002790 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TAVARE, SIMON · 2003 to 2013
$29.9M
GENOME WIDE ASSOCIATION MAPPING IN ARABIDOPSIS THALIANAR01GM073822 · NIGMS · UNIVERSITY OF CHICAGO · PI BOREVITZ, JUSTIN O · 2006 to 2010
$2.8M
Austrian Science Fund FWF M 1420NHGRI NIH HHS P50 HG002790NHGRI NIH HHS P50HG002790NIGMS NIH HHS R01 GM073822
6 · The paper itself

Abstract

Understanding how genetic variation interacts with the environment is essential for understanding adaptation. In particular, the life cycle of plants is tightly coordinated with local environmental signals through complex interactions with the genetic variation (G x E). The mechanistic basis for G x E is almost completely unknown. We collected flowering time data for 173 natural inbred lines of Arabidopsis thaliana from Sweden under two growth temperatures (10°C and 16°C), and observed massive G x E variation. To identify the genetic polymorphisms underlying this variation, we conducted genome-wide scans using both SNPs and local variance components. The SNP-based scan identified several variants that had common effects in both environments, but found no trace of G x E effects, whereas the scan using local variance components found both. Furthermore, the G x E effects appears to be concentrated in a small fraction of the genome (0.5%). Our conclusion is that G x E effects in this study are mostly due to large numbers of allele or haplotypes at a small number of loci, many of which correspond to previously identified flowering time genes.

Indexed as

Gene-Environment InteractionAcclimatizationAdaptation, PhysiologicalAllelesArabidopsisFlowersGenetic VariationGenotypeHaplotypesPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID26473359
PMCPMC4608753

What OpenQuestion holds

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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.