Evidence map›Paper›PMID 29378511›Full record

ArticleBMC plant biology2018

Integrated omics data of two annual ryegrass (Lolium multiflorum L.) genotypes reveals core metabolic processes under drought stress.

Ling Pan, Chen Meng, Jianping Wang, Xiao Ma, Xiaomei Fan, Zhongfu Yang, Meiliang Zhou, Xinquan Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 40 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

8 authors at 4 institutions in 3 countries.

Ling PanDepartment of Grassland Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Chen MengChair of Proteomics and Bioanalytics, Technical University of Munich, 85354, Freising, Germany.
Jianping WangAgronomy Department, University of Florida, Gainesville, USA.
Xiao MaDepartment of Grassland Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Xiaomei FanVazyme Biotech Co., Ltd, Nanjing State Economy & Technology Development Zone, Red Maple Technology Industrial Park, Nanjing, China.
Zhongfu YangDepartment of Grassland Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Meiliang ZhouInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China. zhoumeiliang@caas.cn.
Xinquan ZhangDepartment of Grassland Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China. zhangxq@sicau.edu.cn.
Sichuan Agricultural University · CNChinese Academy of Agricultural Sciences · CNTechnical University of Munich · DEUniversity of Florida · US

Funding

The earmarked fund for Modern Agro-industry Technology Research System CARS-35-05The National Basic Research Program (973 program) in China 2014CB138705The National Natural Science Foundation of China NSFC 31372363
6 · The paper itself

Abstract

backgroundAnnual ryegrass (Lolium multiflorum L.) is a commercially important, widely distributed forage crop that is used in the production of hay and silage worldwide. Drought has been a severe environmental constraint in its production. Nevertheless, only a handful of studies have examined the impact of short-term drought stress on annual ryegrass. The aim of this study was to explore how stress-induced core metabolic processes enhance drought tolerance, or adaptation to drought, in annual ryegrass.

resultsWe profiled the transcriptomes, proteomes, and metabolomes of two annual ryegrass genotypes: the drought-resistant genotype "Abundant 10" and drought-susceptible genotype "Adrenalin 11." We identified differentially expressed metabolites and their corresponding proteins and transcripts that are involved in 23 core metabolic processes, in response to short-term drought stress. Protein-gene-metabolite correlation networks were built to reveal the relationships between the expression of transcripts, proteins, and metabolites in drought-resistant annual ryegrass. Furthermore, integrated metabolic pathways were used to observe changes in enzymes corresponding with levels of amino acids, lipids, carbohydrate conjugates, nucleosides, alkaloids and their derivatives, and pyridines and their derivatives. The resulting omics data underscored the significance of 23 core metabolic processes on the enhancement of drought tolerance or adaptation to drought in annual ryegrass.

conclusionsThe regulatory networks were inferred using MCoA and correlation analysis to reveal the relationships among the expression of transcripts, proteins, and metabolites that highlight the corresponding elements of these core metabolic pathways. Our results provide valuable insight into the molecular mechanisms of drought resistance, and represent a promising strategy toward the improvement of drought tolerance in annual ryegrass.

Indexed as

DroughtsGenotypeGene Regulatory NetworksLoliumPlant ProteinsStress, PhysiologicalPlant ProteinsAnnual ryegrass (Lolium multiflorum)DroughtMetabolismMetabolomeOmicsProteomeTranscriptome

Identifiers

PMID29378511
PMCPMC5789592
OpenAlexW2785414724

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LicenceCC BY
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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.