Evidence map›Paper›PMID 30542359›Full record

ArticleFrontiers in plant science2018

Comprehensive Profiling and Inheritance Patterns of Metabolites in Foxtail Millet.

Shuangdong Li, Xuekui Dong, Guangyu Fan, Qiaofeng Yang, Jian Shi, Wei Wei, Fang Zhao, Ning Li, Xiaoming Wang, Feng Wang and 10 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

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  10. Multi-omics intervention inFrontiers in plant science · 2022
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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

20 authors at 1 institution in 1 country.

Shuangdong LiInstitute of Millet, Zhangjiakou Academy of Agricultural Science, Zhangjiakou, China.
Xuekui DongWuhan Metware Biotechnology Co., Ltd., Wuhan, China.
Guangyu FanInstitute of Millet, Zhangjiakou Academy of Agricultural Science, Zhangjiakou, China.
Qiaofeng YangWuhan Metware Biotechnology Co., Ltd., Wuhan, China.
Jian ShiWuhan Metware Biotechnology Co., Ltd., Wuhan, China.
Wei WeiInstitute of Millet, Zhangjiakou Academy of Agricultural Science, Zhangjiakou, China.
Fang ZhaoInstitute of Millet, Zhangjiakou Academy of Agricultural Science, Zhangjiakou, China.
Ning LiWuhan Metware Biotechnology Co., Ltd., Wuhan, China.
Xiaoming WangInstitute of Millet, Zhangjiakou Academy of Agricultural Science, Zhangjiakou, China.
Feng WangInstitute of Millet, Zhangjiakou Academy of Agricultural Science, Zhangjiakou, China.
Xiaolei FengInstitute of Millet, Zhangjiakou Academy of Agricultural Science, Zhangjiakou, China.
Xiaolei ZhangInstitute of Millet, Zhangjiakou Academy of Agricultural Science, Zhangjiakou, China.
Guoliang SongInstitute of Millet, Zhangjiakou Academy of Agricultural Science, Zhangjiakou, China.
Gaolei ShiInstitute of Millet, Zhangjiakou Academy of Agricultural Science, Zhangjiakou, China.
Wenying ZhangInstitute of Millet, Zhangjiakou Academy of Agricultural Science, Zhangjiakou, China.
Fengcang QiuInstitute of Millet, Zhangjiakou Academy of Agricultural Science, Zhangjiakou, China.
Dequan WangInstitute of Millet, Zhangjiakou Academy of Agricultural Science, Zhangjiakou, China.
Xinru LiInstitute of Millet, Zhangjiakou Academy of Agricultural Science, Zhangjiakou, China.
Yali ZhangInstitute of Millet, Zhangjiakou Academy of Agricultural Science, Zhangjiakou, China.
Zhihai ZhaoInstitute of Millet, Zhangjiakou Academy of Agricultural Science, Zhangjiakou, China.
Zhangjiakou Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics aims at determining a sample's metabolites profile and hence provides a straight functional statement of an organism's physiological condition. Here, we investigated comprehensive profiling, natural variation and species-specific accumulation of both primary and secondary metabolites in foxtail millet using LC-MS, and inheritance patterns of metabolome in millet hybrids. The application of a broad target metabolomics method facilitated the simultaneous identification and quantification of more than 300 metabolites. The metabolic analysis of these compounds, such as flavonoids, phenolamides, hydrocinnamoyl derivatives, vitamins and LPCs, revealed their developmentally controlled accumulation, and natural variation in different tissues/varieties. Species-specific accumulation of secondary metabolites was observed based on a comparative metabolic analysis between millet and rice, such as flavonoid

Indexed as

flavonoidsheterosismetabolic profilingphenolamidesSetaria italica

Identifiers

PMID30542359
PMCPMC6277888
OpenAlexW2902402891

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.