Evidence map›Paper›PMID 26283542›Full record

ArticleBMC plant biology2015

Genome-wide identification and transcriptional analysis of folate metabolism-related genes in maize kernels.

Tong Lian, Wenzhu Guo, Maoran Chen, Jinglai Li, Qiuju Liang, Fang Liu, Hongyan Meng, Bosi Xu, Jinfeng Chen, Chunyi Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

Tong LianBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China. liantong9111@163.com.
Wenzhu GuoHuazhong Agricultural University, Wuhan, People's Republic of China. guowenzhu0534@163.com.
Maoran ChenBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China. chenmaoran@qq.com.
Jinglai LiBeijing Institute of Pharmacology and Toxicology, Beijing, People's Republic of China. ljlai108@sina.cn.
Qiuju LiangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China. liangqj06@163.com.
Fang LiuBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China. tbliufangcau@163.com.
Hongyan MengBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China. mhy1984@126.com.
Bosi XuBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China. xbs2000@126.com.
Jinfeng ChenBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China. chenjinfengjiujiu@163.com.
Chunyi ZhangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China. zhangchunyi@caas.cn.
Ling JiangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China. jiangling@caas.cn.
Biotechnology Research Institute · CNChinese Academy of Agricultural Sciences · CNInstitute of Crop Sciences · CNHuazhong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaize is a major staple food crop globally and contains various concentrations of vitamins. Folates are essential water-soluble B-vitamins that play an important role as one-carbon (C1) donors and acceptors in organisms. To gain an understanding of folate metabolism in maize, we performed an intensive in silico analysis to screen for genes involved in folate metabolism using publicly available databases, followed by examination of the transcript expression patterns and profiling of the folate derivatives in the kernels of two maize inbred lines.

resultsA total of 36 candidate genes corresponding to 16 folate metabolism-related enzymes were identified. The maize genome contains all the enzymes required for folate and C1 metabolism, characterized by highly conserved functional domains across all the other species investigated. Phylogenetic analysis revealed that these enzymes in maize are conserved throughout evolution and have a high level of similarity with those in sorghum and millet. The LC-MS analyses of two maize inbred lines demonstrated that 5-methyltetrahydrofolate was the major form of folate derivative in young seeds, while 5-formyltetrahydrofolate in mature seeds. Most of the genes involved in folate and C1 metabolism exhibited similar transcriptional expression patterns between these two maize lines, with the highest transcript abundance detected on day after pollination (DAP) 6 and the decreased transcript abundance on DAP 12 and 18. Compared with the seeds on DAP 30, 5-methyltetrahydrofolate was decreased and 5-formyltetrahydrofolate was increased sharply in the mature dry seeds.

conclusionsThe enzymes involved in folate and C1 metabolism are conserved between maize and other plant species. Folate and C1 metabolism is active in young developing maize seeds at transcriptional levels.

Indexed as

Genome, PlantTranscription, GeneticAscomycotaFolic AcidPlant DiseasesPlant ProteinsQuantitative Trait LociZea maysFolic AcidPlant Proteins

Identifiers

PMID26283542
PMCPMC4539672
OpenAlexW1857817011

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LicenceCC BY
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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.