Evidence map›Paper›PMID 32222917›Full record

ArticleMolecular biology reports2020

Identification of candidate reference genes for quantitative RT-PCR in Miscanthus sinensis subjected to various abiotic stresses.

Minyi Zhong, Xinying Yang, Yiyue Hu, Linkai Huang, Yan Peng, Zhou Li, Qiuxu Liu, Xia Wang, Xinquan Zhang, Gang Nie

Abstract read
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In one paragraph

Article in Molecular biology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Comprehensive Analysis ofPlants (Basel, Switzerland) · 2025
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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

10 authors at 1 institution in 1 country.

Minyi ZhongDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Xinying YangDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Yiyue HuDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Linkai HuangDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Yan PengDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Zhou LiDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Qiuxu LiuDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Xia WangDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Xinquan ZhangDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China. zhangxq@sicau.edu.cn.
Gang NieDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China. nieg17@sicau.edu.cn.
Sichuan Agricultural University · CN

Funding

Ministry of Education of the People's Republic of China "Chunhui" Program Cooperation Project 20191383-101Modern Agro-industry Technology Research System CARS-34National Natural Science Foundation of China NSFC 31801432
6 · The paper itself

Abstract

Quantitative real-time PCR (qRT-PCR) has been widely used for studying gene expression at the transcript level. Its accuracy usually relies on the reference genes that are utilized for data normalization. Miscanthus sinensis, a perennial C4 grass with high biomass and strong resistance to adversities, is often utilized as a high value energy crop. However, no reliable reference genes have been investigated for normalizing gene expression for this species. In this study, 12 candidate reference genes were selected to identify their stability under five different abiotic stress treatments (drought, salt, cadmium, chromium and arsenic) by using geNorm, NormFinder, BestKeeper and RefFinder softwares. The results showed that 18S rRNA and Unigene33312 were the best reference genes under drought treatments. Unigene33312 and Unigene33024 were found to be the most stably expressed genes under salt stress and Cd stress. Moreover, Unigene33024 and PP2A were the most suitable reference genes under Cr stress and Unigene33024 and Sb09g019750 were deemed more suitable reference genes under As stress. In total, considering all the samples, Unigene33024 and PP2A were the most stable genes while ACTIN and Unigene26576 were the least stable reference genes for internal control. The expression patterns of two target genes (Cu/Zn SOD and CAT) were used to further verify those selected reference genes under different conditions. The results showed that the most and the least stable reference genes had clearly different expression patterns. This work comprehensively estimated the stability of reference genes in M. sinensis which may give insight to the reference genes selection in other tissues as well as other related varieties. These suggested reference genes would assist in further putative gene expression validation in M. sinensis.

Indexed as

DroughtsGene ExpressionGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantPoaceaeReal-Time Polymerase Chain ReactionReference StandardsReverse Transcriptase Polymerase Chain ReactionStress, PhysiologicalAbiotic stressMiscanthus sinensisqRT-PCRReference gene

Identifiers

PMID32222917
OpenAlexW3013422199

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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.