Evidence map›Paper›PMID 26704140›Full record

ArticleThe Journal of heredity2016

Genome-Wide Association Study of Arabidopsis thaliana Identifies Determinants of Natural Variation in Seed Oil Composition.

Sandra E Branham, Sara J Wright, Aaron Reba, C Randal Linder

Abstract read
In one paragraph

Article in The Journal of heredity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Metabolic Engineering a Model OilseedFrontiers in plant science · 2020
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Synthetic redesign of plant lipid metabolism.The Plant journal : for cell and molecular biology · 2016
    Review
  12. Article
  13. Frontiers in plant science · 2016
    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

4 authors.

Sandra E BranhamFrom the US Vegetable Laboratory, Agricultural Research Service, United States Department of Agriculture, Charleston, SC 29414 (Branham); Department of Biology, Washington University, St. Louis, MO 63130 (Wright); Integrative Biology Department, University of Texas at Austin, Austin, TX 78712 (Branham, Reba, and Linder). sandra.branham@ars.usda.gov.
Sara J WrightFrom the US Vegetable Laboratory, Agricultural Research Service, United States Department of Agriculture, Charleston, SC 29414 (Branham); Department of Biology, Washington University, St. Louis, MO 63130 (Wright); Integrative Biology Department, University of Texas at Austin, Austin, TX 78712 (Branham, Reba, and Linder).
Aaron RebaFrom the US Vegetable Laboratory, Agricultural Research Service, United States Department of Agriculture, Charleston, SC 29414 (Branham); Department of Biology, Washington University, St. Louis, MO 63130 (Wright); Integrative Biology Department, University of Texas at Austin, Austin, TX 78712 (Branham, Reba, and Linder).
C Randal LinderFrom the US Vegetable Laboratory, Agricultural Research Service, United States Department of Agriculture, Charleston, SC 29414 (Branham); Department of Biology, Washington University, St. Louis, MO 63130 (Wright); Integrative Biology Department, University of Texas at Austin, Austin, TX 78712 (Branham, Reba, and Linder).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The renewable source of highly reduced carbon provided by plant triacylglycerols (TAGs) fills an ever increasing demand for food, biodiesel, and industrial chemicals. Each of these uses requires different compositions of fatty acid proportions in seed oils. Identifying the genes responsible for variation in seed oil composition in nature provides targets for bioengineering fatty acid proportions optimized for various industrial and nutrition goals. Here, we characterized the seed oil composition of 391 world-wide, wild accessions of Arabidopsis thaliana, and performed a genome-wide association study (GWAS) of the 9 major fatty acids in the seed oil and 4 composite measures of the fatty acids. Four to 19 regions of interest were associated with the seed oil composition traits. Thirty-four of the genes in these regions are involved in lipid metabolism or transport, with 14 specific to fatty acid synthesis or breakdown. Eight of the genes encode transcription factors. We have identified genes significantly associated with variation in fatty acid proportions that can be used as a resource across the Brassicaceae. Two-thirds of the regions identified contain candidate genes that have never been implicated in lipid metabolism and represent potential new targets for bioengineering.

Indexed as

Genes, PlantArabidopsisChromosome MappingFatty AcidsGenetic Association StudiesLipid MetabolismPlant OilsPolymorphism, Single NucleotideSeedsFatty AcidsPlant OilsArabidopsis thalianafatty acidsgenome-wide association mappinglipid metabolismseed oil compositiontriacylglycerol

Identifiers

PMID26704140
PMCPMC4885229

What OpenQuestion holds

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Registered trials

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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.