Evidence map›Paper›PMID 31752021›Full record

ArticleJournal of insect science (Online)2019

Selection of Reference Genes for Normalization of Real-Time PCR Data in Calliptamus italicus (Orthoptera: Acrididae) Under Different Temperature Conditions.

Hongxia Hu, Xiaofang Ye, Han Wang, Rong Ji

Abstract readEvaluation Study
In one paragraph

Article in Journal of insect science (Online), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Hongxia HuInternational Research Center of Cross-Border Pest Management in Central Asia, Xinjiang Key Laboratory of Species Diversity Application and Regulation, College of Life Sciences, Xinjiang Normal University, Urumqi, Xinjiang Province, P.R. China.
Xiaofang YeInternational Research Center of Cross-Border Pest Management in Central Asia, Xinjiang Key Laboratory of Species Diversity Application and Regulation, College of Life Sciences, Xinjiang Normal University, Urumqi, Xinjiang Province, P.R. China.
Han WangInternational Research Center of Cross-Border Pest Management in Central Asia, Xinjiang Key Laboratory of Species Diversity Application and Regulation, College of Life Sciences, Xinjiang Normal University, Urumqi, Xinjiang Province, P.R. China.
Rong JiInternational Research Center of Cross-Border Pest Management in Central Asia, Xinjiang Key Laboratory of Species Diversity Application and Regulation, College of Life Sciences, Xinjiang Normal University, Urumqi, Xinjiang Province, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global warming has dominated worldwide climate change trends, and adaptability to high temperatures is the main factor underlying the spread of the pest Calliptamus italicus in Xinjiang Province, China. However, knowledge about the molecular mechanisms responsible for this adaptability and other related biological properties of C. italicus remain relatively unclear. Real-time quantitative polymerase chain reaction (RT-qPCR) is a key tool for gene expression analysis associated with various biological processes. Reference genes are necessary for normalizing gene expression levels across samples taken from specific experimental conditions. In this study, transcript level of five genes (GAPDH, 18S, TUB, ACT, and EF1α), commonly used as reference genes, were evaluated under nine different temperatures (27, 30, 33, 36, 39, 42, 45, 48, and 51°C) to assess their expression stability and further select the most suitable to be used on normalization of target gene expression data. Gene expression profiles were analyzed using geNorm, NormFinder, and BestKeeper software packages. The combined results demonstrated that the best-ranked reference genes for C. italicus are EF1α, GAPDH, and ACT under different thermal stress conditions. This is the first study that assesses gene expression analysis across a range of temperatures to select the most appropriate reference genes for RT-qPCR data normalization in C. italicus. These results should assist target gene expression analysis associated with heat stress in C. italicus.

Indexed as

Genes, EssentialTemperatureAnimalsGrasshoppersReal-Time Polymerase Chain ReactionCalliptamus italicusexpression stabilityreference genesRT-qPCR

Identifiers

PMID31752021
PMCPMC6871914

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.