Evidence map›Paper›PMID 30742331›Full record

ArticleThe Plant journal : for cell and molecular biology2019

Leveraging GWAS data to identify metabolic pathways and networks involved in maize lipid biosynthesis.

Hui Li, Adam Thrash, Juliet D Tang, Linlin He, Jianbing Yan, Marilyn L Warburton

Open access · hybridAbstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.0field-weighted citation impact, top 4% 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, 54 citations in OpenAlex.

  1. Plasticity of metabolism in plants.The Plant journal : for cell and molecular biology · 2026
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  14. Allelic Variation inFrontiers in nutrition · 2022
    Article
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  17. Article
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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

6 authors at 5 institutions in 2 countries.

Hui LiSchool of Biological Science and Technology, University of Jinan, Jinan, 250022, China.
Adam ThrashInstitute for Genomics, Biocomputing & Biotechnology, Mississippi State University, MS, 39762, USA.
Juliet D TangUSDA FS Forest Products Laboratory, Durability and Wood Protection, Starkville, MS, 39759, USA.
Linlin HeSchool of Biological Science and Technology, University of Jinan, Jinan, 250022, China.
Jianbing YanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Marilyn L WarburtonUSDA ARS Corn Host Plant Resistance Research Unit (CHPRRU), Mississippi State, MS, 39762, USA.
University of Jinan · CNBiocom · USForest Products Laboratory · USHuazhong Agricultural University · CNMississippi State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maize (Zea mays mays) oil is a rich source of polyunsaturated fatty acids (FAs) and energy, making it a valuable resource for human food, animal feed, and bio-energy. Although this trait has been studied via conventional genome-wide association study (GWAS), the single nucleotide polymorphism (SNP)-trait associations generated by GWAS may miss the underlying associations when traits are based on many genes, each with small effects that can be overshadowed by genetic background and environmental variation. Detecting these SNPs statistically is also limited by the levels set for false discovery rate. A complementary pathways analysis that emphasizes the cumulative aspects of SNP-trait associations, rather than just the significance of single SNPs, was performed to understand the balance of lipid metabolism, conversion, and catabolism in this study. This pathway analysis indicated that acyl-lipid pathways, including biosynthesis of wax esters, sphingolipids, phospholipids and flavonoids, along with FA and triacylglycerol (TAG) biosynthesis, were important for increasing oil and FA content. The allelic variation found among the genes involved in many degradation pathways, and many biosynthesis pathways leading from FAs and carbon partitioning pathways, was critical for determining final FA content, changing FA ratios and, ultimately, to final oil content. The pathways and pathway networks identified in this study, and especially the acyl-lipid associated pathways identified beyond what had been found with GWAS alone, provide a real opportunity to precisely and efficiently manipulate high-oil maize genetic improvement.

Indexed as

Polymorphism, Single NucleotideAnimal FeedAnimalsBiosynthetic PathwaysFatty AcidsGenes, PlantGenome-Wide Association StudyHumansLinkage DisequilibriumLipidsMetabolic Networks and PathwaysPhospholipidsTriglyceridesZea maysFatty AcidsLipidsPhospholipidsTriglyceridesgenome-wide association studylipid metabolismmaizepathway analysis

Identifiers

PMID30742331
PMCPMC6850169
OpenAlexW2912344616

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.