Evidence map›Paper›PMID 24902604›Full record

ArticleG3 (Bethesda, Md.)2014

Association mapping of germination traits in Arabidopsis thaliana under light and nutrient treatments: searching for G×E effects.

Ginnie D Morrison, C Randal Linder

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

2 authors.

Ginnie D MorrisonDepartment of Integrative Biology, University of Texas at Austin, Austin, Texas morrisong@missouri.edu.
C Randal LinderDepartment of Integrative Biology, University of Texas at Austin, Austin, Texas.ORCID http://orcid.org/0000-0003-1633-4462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the natural world, genotype expression is influenced by an organism's environment. Identifying and understanding the genes underlying phenotypes in different environments is important for making advances in fields ranging from evolution to medicine to agriculture. With the availability of genome-wide genetic-marker datasets, it is possible to look for genes that interact with the environment. Using the model organism, Arabidopsis thaliana, we looked for genes underlying phenotypes as well as genotype-by-environment interactions in four germination traits under two light and two nutrient conditions. We then performed genome-wide association tests to identify candidate genes underlying the observed phenotypes and genotype-by-environment interactions. Of the four germination traits examined, only two showed significant genotype-by-environment interactions. While genome-wide association analyses did not identify any markers or genes explicitly linked to genotype-by-environment interactions, we did identify a total of 55 markers and 71 genes associated with germination differences. Of the 71 genes, four--ZIGA4, PS1, TOR, and TT12--appear to be strong candidates for further study of germination variation under different environments.

Indexed as

ArabidopsisFertilizersGene-Environment InteractionGenes, PlantGenome-Wide Association StudyGerminationLightPhenotypePolymorphism, Single NucleotideFertilizersA. thalianaenvironmental effectsgerminationGWASnatural genetic variation

Identifiers

PMID24902604
PMCPMC4132177

What OpenQuestion holds

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LicenceCC BY
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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.