Evidence map›Paper›PMID 28100172›Full record

ArticleBMC plant biology2017

Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis.

Min Jin, Xuehai Zhang, Mingchao Zhao, Min Deng, Yuanhao Du, Yang Zhou, Shouchuang Wang, Takayuki Tohge, Alisdair R Fernie, Lothar Willmitzer and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

22 citing papers in PubMed, 49 citations in OpenAlex.

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  10. Applications of Genomic Tools in Plant Breeding: Crop Biofortification.International journal of molecular sciences · 2022
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  14. Transcriptomic Responses ofFrontiers in microbiology · 2021
    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

13 authors at 3 institutions in 3 countries.

Min JinNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Xuehai ZhangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Mingchao ZhaoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Min DengNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Yuanhao DuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Yang ZhouNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Shouchuang WangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Takayuki TohgeMax Planck Institute for Molecular Plant Physiology, 14476, Potsdam-Golm, Germany.
Alisdair R FernieMax Planck Institute for Molecular Plant Physiology, 14476, Potsdam-Golm, Germany.
Lothar WillmitzerMax Planck Institute for Molecular Plant Physiology, 14476, Potsdam-Golm, Germany.
Yariv BrotmanDepartment of Life Sciences, Ben Gurion University of the Negev, Beersheva, Israel.
Jianbing YanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Weiwei WenNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China. wwwen588@163.com.
Huazhong Agricultural University · CNMax Planck Institute of Molecular Plant Physiology · DEBen-Gurion University of the Negev · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFlavonoids constitute a diverse class of secondary metabolites which exhibit potent bioactivities for human health and have been indicated to play an important role in plant development and defense. However, accumulation and variation of flavonoid content in diverse maize lines and the genes responsible for their biosynthesis in this important crop remain largely unknown. In this study, we combine genetic mapping, metabolite profiling and gene regulatory network analysis to further enhance understanding of the maize flavonoid pathway.

resultsWe repeatedly detected 25 QTL corresponding to 23 distinct flavonoids across different environments or populations. In addition, a total of 39 genes were revealed both by an expression based network analysis and genetic mapping. Finally, the function of three candidate genes, including two UDP-glycosyltransferases (UGT) and an oxygenase which belongs to the flavone synthase super family, was revealed via preliminary molecular functional characterization.

conclusionWe explored the genetic influences on the flavonoid biosynthesis based on integrating the genomic, transcriptomic and metabolomic information which provided a rich source of potential candidate genes. The integrated genomics based genetic mapping strategy is highly efficient for defining the complexity of functional genetic variants and their respective regulatory networks as well as in helping to select candidate genes and allelic variance before embarking on laborious transgenic validations.

Indexed as

Biosynthetic PathwaysChromosome MappingFlavonoidsGenomicsPlant ProteinsQuantitative Trait LociZea maysFlavonoidsPlant ProteinsAssociation analysisCo-expression networkFlavonoidLinkage mappingMaizeNatural variation

Identifiers

PMID28100172
PMCPMC5242060
OpenAlexW2577451971

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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.