Evidence map›Paper›PMID 35287184›Full record

ArticleScience China. Life sciences2022

Integration of rhythmic metabolome and transcriptome provides insights into the transmission of rhythmic fluctuations and temporal diversity of metabolism in rice.

Junjie Zhou, Chengyuan Liu, Qiyu Chen, Ling Liu, Shuying Niu, Ridong Chen, Kang Li, Yangyang Sun, Yuheng Shi, Chenkun Yang and 8 more

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Article in Science China. Life sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 19 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

18 authors at 3 institutions in 3 countries.

Junjie Zhou *College of Tropical Crops, Hainan University, Haikou, 570288, China.
Chengyuan Liu *College of Tropical Crops, Hainan University, Haikou, 570288, China.
Qiyu ChenCollege of Tropical Crops, Hainan University, Haikou, 570288, China.
Ling LiuCollege of Tropical Crops, Hainan University, Haikou, 570288, China.
Shuying NiuCollege of Tropical Crops, Hainan University, Haikou, 570288, China.
Ridong ChenCollege of Tropical Crops, Hainan University, Haikou, 570288, China.
Kang LiCollege of Tropical Crops, Hainan University, Haikou, 570288, China.
Yangyang SunCollege of Tropical Crops, Hainan University, Haikou, 570288, China.
Yuheng ShiCollege of Tropical Crops, Hainan University, Haikou, 570288, China.
Chenkun YangNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China.
Shuangqian ShenNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China.
Yufei LiNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China.
Junwei XingCollege of Tropical Crops, Hainan University, Haikou, 570288, China.
Honglun YuanCollege of Tropical Crops, Hainan University, Haikou, 570288, China.
Xianqing LiuCollege of Tropical Crops, Hainan University, Haikou, 570288, China.
Chuanying FangCollege of Tropical Crops, Hainan University, Haikou, 570288, China.
Alisdair R FernieMax-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm, 144776, Germany.
Jie LuoCollege of Tropical Crops, Hainan University, Haikou, 570288, China. jie.luo@hainanu.edu.cn.
Hainan University · CNHuazhong Agricultural University · CNMax Planck Institute of Molecular Plant Physiology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various aspects of the organisms adapt to cyclically changing environmental conditions via transcriptional regulation. However, the role of rhythmicity in altering the global aspects of metabolism is poorly characterized. Here, we subjected four rice (Oryza sativa) varieties to a range of metabolic profiles and RNA-seq to investigate the temporal relationships of rhythm between transcription and metabolism. More than 40% of the rhythmic genes and a quarter of metabolites conservatively oscillated across four rice accessions. Compared with the metabolome, the transcriptome was more strongly regulated by rhythm; however, the rhythm of metabolites had an obvious opposite trend between day and night. Through association analysis, the time delay of rhythmic transmission from the transcript to the metabolite level was ∼4 h under long-day conditions, although the transmission was nearly synchronous for carbohydrate and nucleotide metabolism. The rhythmic accumulation of metabolites maintained highly coordinated temporal relationships in the metabolic network, whereas the correlation of some rhythmic metabolites, such as branched-chain amino acids (BCAAs), was significantly different intervariety. We further demonstrated that the cumulative diversity of BCAAs was due to the differential expression of branched-chain aminotransferase 2 at dawn. Our research reveals the flexible pattern of rice metabolic rhythm existing with conservation and diversity.

Indexed as

OryzaGene Expression Regulation, PlantMetabolomeTranscriptomediurnal cyclemetabolomeOryza sativarhythmic diversitytime delay

Identifiers

PMID35287184
OpenAlexW4220908858

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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.