Evidence map›Paper›PMID 26437927›Full record

ArticleMolecular genetics and genomics : MGG2016

Selection of reference genes for analysis of stress-responsive genes after challenge with viruses and temperature changes in the silkworm Bombyx mori.

Huizhen Guo, Liang Jiang, Qingyou Xia

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Article in Molecular genetics and genomics : MGG, 2016. 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
2.6field-weighted citation impact, top 10% 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, 76 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

3 authors at 2 institutions in 1 country.

Huizhen GuoState Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing, 400715, People's Republic of China.
Liang JiangState Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing, 400715, People's Republic of China. jiangliang@swu.edu.cn.
Qingyou XiaState Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing, 400715, People's Republic of China. xiaqy@swu.edu.cn.
Southwest University · CNState Key Laboratory of Silkworm Genomic Biology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses and high temperature (HT) are the primary threats to silkworms. Changes in the expression of stress-response genes can be measured using quantitative polymerase chain reaction (qPCR) after exposure to viruses or HT. However, appropriate reference genes (RGs) for qPCR data normalization have not been established in this organism. In this study, we summarized the RGs used in the previous silkworm studies after infection with Bombyx mori nucleopolyhedrovirus (BmNPV), B. mori cytoplasmic polyhedrosis virus (BmCPV), or B. mori densovirus (BmDNV) or after HT treatment. The expression levels of these RGs were extracted from silkworm transcriptome data to screen for candidate RGs that were unaffected by the experimental conditions. Actin-1 (A1), actin-3 (A3), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), and translation initiation factor 4a (TIF-4A) were selected for further qPCR verification. The results of RNA-seq and qPCR showed that GAPDH and TIF-4A were suitable RGs after BmNPV challenge or HT stress, whereas TIF-4A was an appropriate RG for BmCPV or BmDNV-Z challenge in silkworms. These results suggested that TIF-4A may be the most appropriate RG for gene expression analysis after challenge with viruses or HT in silkworms.

Indexed as

AnimalsBombyxLarvaStress, PhysiologicalTemperatureVirusesHigh temperatureQuantitative polymerase chain reactionReference geneSilkwormVirus

Identifiers

PMID26437927
OpenAlexW1838660979

What OpenQuestion holds

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Read underepoch 390

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.