Evidence map›Paper›PMID 26556794›Full record

ArticlePlant physiology2016

Combining Quantitative Genetics Approaches with Regulatory Network Analysis to Dissect the Complex Metabolism of the Maize Kernel.

Weiwei Wen, Haijun Liu, Yang Zhou, Min Jin, Ning Yang, Dong Li, Jie Luo, Yingjie Xiao, Qingchun Pan, Takayuki Tohge and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plant physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Genetic Dissection and Functional Validation ofInternational journal of molecular sciences · 2026
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  8. How do plants defend themselves against pathogens-Biochemical mechanisms and genetic interventions.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Review
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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

12 authors.

Weiwei WenNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China (W.W., H.L., Y.Z., M.J., N.Y., D.L., J.L., Y.X., Q.P., J.Y.); andMax Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany (W.W., T.T., A.R.F.) wen@mpimp-golm.mpg.de.
Haijun LiuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China (W.W., H.L., Y.Z., M.J., N.Y., D.L., J.L., Y.X., Q.P., J.Y.); andMax Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany (W.W., T.T., A.R.F.).
Yang ZhouNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China (W.W., H.L., Y.Z., M.J., N.Y., D.L., J.L., Y.X., Q.P., J.Y.); andMax Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany (W.W., T.T., A.R.F.).ORCID http://orcid.org/0000-0001-8630-3464
Min JinNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China (W.W., H.L., Y.Z., M.J., N.Y., D.L., J.L., Y.X., Q.P., J.Y.); andMax Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany (W.W., T.T., A.R.F.).ORCID http://orcid.org/0000-0001-6013-5044
Ning YangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China (W.W., H.L., Y.Z., M.J., N.Y., D.L., J.L., Y.X., Q.P., J.Y.); andMax Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany (W.W., T.T., A.R.F.).
Dong LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China (W.W., H.L., Y.Z., M.J., N.Y., D.L., J.L., Y.X., Q.P., J.Y.); andMax Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany (W.W., T.T., A.R.F.).ORCID http://orcid.org/0000-0003-1486-9682
Jie LuoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China (W.W., H.L., Y.Z., M.J., N.Y., D.L., J.L., Y.X., Q.P., J.Y.); andMax Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany (W.W., T.T., A.R.F.).
Yingjie XiaoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China (W.W., H.L., Y.Z., M.J., N.Y., D.L., J.L., Y.X., Q.P., J.Y.); andMax Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany (W.W., T.T., A.R.F.).
Qingchun PanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China (W.W., H.L., Y.Z., M.J., N.Y., D.L., J.L., Y.X., Q.P., J.Y.); andMax Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany (W.W., T.T., A.R.F.).
Takayuki TohgeNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China (W.W., H.L., Y.Z., M.J., N.Y., D.L., J.L., Y.X., Q.P., J.Y.); andMax Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany (W.W., T.T., A.R.F.).
Alisdair R FernieNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China (W.W., H.L., Y.Z., M.J., N.Y., D.L., J.L., Y.X., Q.P., J.Y.); andMax Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany (W.W., T.T., A.R.F.).
Jianbing YanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China (W.W., H.L., Y.Z., M.J., N.Y., D.L., J.L., Y.X., Q.P., J.Y.); andMax Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany (W.W., T.T., A.R.F.).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic quantitative trait locus (QTL) studies have allowed us to better understand the genetic architecture underlying naturally occurring plant metabolic variance. Here, we use two recombinant inbred line (RIL) populations to dissect the genetic architecture of natural variation of 155 metabolites measured in the mature maize (Zea mays) kernel. Overall, linkage mapping identified 882 metabolic QTLs in both RIL populations across two environments, with an average of 2.1 QTLs per metabolite. A large number of metabolic QTLs (more than 65%) were identified with moderate effects (r(2) = 2.1%-10%), while a small portion (less than 35%) showed major effects (r(2) > 10%). Epistatic interactions between these identified loci were detected for more than 30% of metabolites (with the proportion of phenotypic variance ranging from 1.6% to 37.8%), implying that genetic epistasis is not negligible in determining metabolic variation. In total, 57 QTLs were validated by our previous genome-wide association study on the same metabolites that provided clues for exploring the underlying genes. A gene regulatory network associated with the flavonoid metabolic pathway was constructed based on the transcriptional variations of 28,769 genes in kernels (15 d after pollination) of 368 maize inbred lines. A large number of genes (34 of 58) in this network overlapped with previously defined genes controlled by maize PERICARP COLOR1, while three of them were identified here within QTL intervals for multiple flavonoids. The deeply characterized RIL populations, elucidation of metabolic phenotypes, and identification of candidate genes lay the foundation for maize quality improvement.

Indexed as

Gene Regulatory NetworksChromosome MappingFlavonoidsGenome-Wide Association StudyPolymorphism, Single NucleotideQuantitative Trait LociRecombination, GeneticTandem Mass SpectrometryZea maysFlavonoids

Identifiers

PMID26556794
PMCPMC4704590

What OpenQuestion holds

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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.