Evidence map›Paper›PMID 28746411›Full record

ArticlePloS one2017

Selection and validation of reference genes for quantitative real-time PCR analysis under different experimental conditions in the leafminer Liriomyza trifolii (Diptera: Agromyzidae).

Ya-Wen Chang, Jing-Yun Chen, Ming-Xing Lu, Yuan Gao, Zi-Hua Tian, Wei-Rong Gong, Wei Zhu, Yu-Zhou Du

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

32 citing papers in PubMed, 55 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 1 country.

Ya-Wen ChangSchool of Horticulture and Plant Protection & Institute of Applied Entomology, Yangzhou University, Yangzhou, China.
Jing-Yun ChenSchool of Horticulture and Plant Protection & Institute of Applied Entomology, Yangzhou University, Yangzhou, China.
Ming-Xing LuSchool of Horticulture and Plant Protection & Institute of Applied Entomology, Yangzhou University, Yangzhou, China.
Yuan GaoLaboratory for Prevention and Control of Alien Pests, Suzhou Entry-Exit Inspection and Quarantine Bureau, Suzhou, China.
Zi-Hua TianPlant Protection and Quarantine Station of Jiangsu Province, Nanjing, China.
Wei-Rong GongPlant Protection and Quarantine Station of Jiangsu Province, Nanjing, China.
Wei ZhuAgricultural Technology Extension Service Center of Guangling District, Yangzhou, China.
Yu-Zhou DuSchool of Horticulture and Plant Protection & Institute of Applied Entomology, Yangzhou University, Yangzhou, China.ORCID http://orcid.org/0000-0002-4452-7125
Yangzhou University · CNInstitute of Plant Protection · CNZhejiang Entry-Exit Inspection and Quarantine Bureau · CNYangzhou Vocational University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liriomyza trifolii is a highly-invasive leafmining insect that causes significant damage to vegetables and horticultural crops worldwide. Relatively few studies have quantified gene expression in L. trifolii using real-time quantitative PCR (RT-qPCR), which is a reliable and sensitive technique for measuring gene expression. RT-qPCR requires the selection of reference genes to normalize gene expression data and control for internal differences between samples. In this study, nine housekeeping genes from L. trifolii were selected for their suitability in normalizing gene expression using geNorm, Normfinder, BestKeeper, the ΔCt method and RefFinder. HSP21.7, which encodes heat shock protein 21.7, was used as a target gene to validate the expression of candidate reference genes. Results indicated that ACTIN and 18S were optimal for developmental stage and low temperature, TUB and 18S showed the most stable expression for sex, and GAPDH and ACTIN were the best reference genes for monitoring gene expression at high temperature. Selection and validation of appropriate reference genes are critical steps in normalizing gene expression levels, which improve the accuracy and quality of expression data. Results of this study provide vital information on reference genes and is valuable in developing a standardized RT-qPCR protocol for functional genomics research in L. trifolii.

Indexed as

Gene ExpressionAnimalsComputational BiologyDipteraFemaleGene Expression ProfilingGenes, EssentialGenes, InsectMaleReal-Time Polymerase Chain ReactionReference StandardsReproducibility of Results

Identifiers

PMID28746411
PMCPMC5528903
OpenAlexW2738604920

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.