Evidence map›Paper›PMID 36435087›Full record

ArticleUltrasonics sonochemistry2022

Combined transcriptome and metabolome analyses reveal the mechanisms of ultrasonication improvement of brown rice germination.

Guangchen Zhang, Jiaxin Xu, Yiqiao Wang, Xue Sun, Shaosong Huang, Lihua Huang, Youhong Liu, He Liu, Jian Sun

Abstract read
In one paragraph

Article in Ultrasonics sonochemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

9 authors.

Guangchen ZhangCollege of Food Science and Technology, Bohai University, Jinzhou, Liaoning, China.
Jiaxin XuCollege of Food Science and Technology, Bohai University, Jinzhou, Liaoning, China.
Yiqiao WangRice Research Institute, Shenyang Agricultural University, Shenyang, Liaoning, China.
Xue SunCollege of Food Science and Technology, Bohai University, Jinzhou, Liaoning, China.
Shaosong HuangRice Research Institute, Shenyang Agricultural University, Shenyang, Liaoning, China.
Lihua HuangCollege of Food Science and Technology, Bohai University, Jinzhou, Liaoning, China.
Youhong LiuInstitute of Crop Cultivation and Tillage, Heilongjiang Academy of Agricultural Sciences/Northeast Branch of National Center of Technology Innovation for Saline-Alkali Tolerant Rice, Harbin, China.
He LiuCollege of Food Science and Technology, Bohai University, Jinzhou, Liaoning, China. Electronic address: liuhe2069@163.com.
Jian SunRice Research Institute, Shenyang Agricultural University, Shenyang, Liaoning, China; Collaborative Innovation Center for Genetic Improvement and High Quality and Efficiency Production of Northeast Japonica Rice in China, Shenyang Agricultural University, Shenyang, Liaoning, China. Electronic address: sunjian811119@syau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the effects of ultrasonication treatment on the germination rate of brown rice. Brown rice grains were subjected to ultrasound (40 kHz/30 min) and then incubated for 36 h at 37 °C to germinate the seeds. Ultrasonic treatment increased the germination rate of brown rice by up to ∼28 % at 30 h. Transcriptomic and metabolomic analyses were performed to explore the mechanisms underlying the effect of ultrasonic treatment on the brown rice germination rate. Comparing the treated and control check samples, 867 differentially expressed genes (DEGs) were identified, including 638 upregulated and 229 downregulated), as well as 498 differentially accumulated metabolites (DAMs), including 422 up accumulated and 76 down accumulated. Multi-omics analysis revealed that the germination rate of brown rice was promoted by increased concentrations of low-molecular metabolites (carbohydrates and carbohydrate conjugates, fatty acids, amino acids, peptides, and analogues), and transcription factors (ARR-B, NAC, bHLH and AP2/EREBP families) as well as increased carbon metabolism. These findings provide new insights into the mechanisms of action of ultrasound in improving the brown rice germination rate and candidate DEGs and DAMs responsible for germination have been identified.

Indexed as

OryzaHumansMultiomicsBrown riceEnergy metabolismGermination rateMetabolome analysisTranscriptome sequencing

Identifiers

PMID36435087
PMCPMC9694063

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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.