Evidence map›Paper›PMID 23497596›Full record

ArticleBMC research notes2013

Validation of reference genes for expression analysis by quantitative real-time PCR in Leptinotarsa decemlineata (Say).

Xiao-Qin Shi, Wen-Chao Guo, Pin-Jun Wan, Li-Tao Zhou, Xiang-Liang Ren, Tursun Ahmat, Kai-Yun Fu, Guo-Qing Li

Abstract readValidation Study
In one paragraph

Article in BMC research notes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

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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

62 citing papers in PubMed.

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  7. Selection ofInsects · 2025
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  18. Efficient control of western flower thrips by plastid-mediated RNA interference.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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.

Xiao-Qin ShiEducation Ministry Key Laboratory of Integrated Management of Crop Diseases and Pests, College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, China.
Wen-Chao Guo
Pin-Jun Wan
Li-Tao Zhou
Xiang-Liang Ren
Tursun Ahmat
Kai-Yun Fu
Guo-Qing Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundL. decemlineata is an exotic invasive insect pest, and invaded in Xinjiang Uygur autonomous region in China in the 1990s from Kazakhstan. It is a notorious defoliator of potato throughout most of the northern Xinjiang in current, and often causes extremely large yield losses of potato.

resultsThe expression stability of nine L. decemlineata house-keeping genes (Actin, ACT1 and ACT2; ADP-ribosylation factor, ARF1 and ARF4; TATA box binding protein, TBP1 and TBP2; ribosomal protein RP4 and RP18; translation elongation factor 1α EF1α) was evaluated by quantitative real-time polymerase chain reaction (qRT-PCR) in seven developmental stages, three larval tissues and two insecticide treatments. The results were analyzed using three software programs: geNorm, NormFinder and BestKeeper. Although there was no consistent ranking observed among the house-keeping genes across the samples, the overall analysis revealed that RP18, RP4, ARF1, and ARF4 were the four most stable house-keeping genes. In contrast, ACT1 and ACT2, two of the most widely used reference genes, had the least stability. Our results suggest that the combined use of the four most stably expressed genes may produce optimal normalization for qRT-PCR.

conclusionsThe expression stability of the house-keeping genes varies among different developing stages, in different tissues and under different experimental conditions. Our results will enable a more accurate and reliable normalization of qRT-PCR data in L. decemlineata.

Indexed as

Gene Expression ProfilingAnimalsBase SequenceColeopteraDNA PrimersInsecticidesReal-Time Polymerase Chain ReactionDNA PrimersInsecticides

Identifiers

PMID23497596
PMCPMC3600673

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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.