Evidence map›Paper›PMID 29152197›Full record

ArticleEcology and evolution2017

Selection of reference genes for qRT-PCR and expression analysis of high-altitude-related genes in grassland caterpillars (Lepidoptera: Erebidae:

Li Zhang, Qi-Lin Zhang, Xiao-Tong Wang, Xing-Zhuo Yang, Xiao-Peng Li, Ming-Long Yuan

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 30 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

6 authors at 2 institutions in 2 countries.

Li ZhangState Key Laboratory of Grassland Agro-Ecosystems College of Pastoral Agricultural Science and Technology Lanzhou University Lanzhou China.
Qi-Lin ZhangState Key Laboratory of Pharmaceutical Biotechnology School of Life Sciences Nanjing University Nanjing China.
Xiao-Tong WangState Key Laboratory of Grassland Agro-Ecosystems College of Pastoral Agricultural Science and Technology Lanzhou University Lanzhou China.
Xing-Zhuo YangState Key Laboratory of Grassland Agro-Ecosystems College of Pastoral Agricultural Science and Technology Lanzhou University Lanzhou China.
Xiao-Peng LiState Key Laboratory of Grassland Agro-Ecosystems College of Pastoral Agricultural Science and Technology Lanzhou University Lanzhou China.
Ming-Long YuanState Key Laboratory of Grassland Agro-Ecosystems College of Pastoral Agricultural Science and Technology Lanzhou University Lanzhou China.ORCID 0000-0002-4078-8723
Ministry of Agriculture · EENanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in gene expression patterns can reflect the adaptation of organisms to divergent environments. Quantitative real-time PCR (qRT-PCR) is an important tool for ecological adaptation studies at the gene expression level. The quality of the results of qRT-PCR analysis largely depends on the availability of reliable reference genes (RGs). To date, reliable RGs have not been determined for adaptive evolution studies in insects using a standard approach. Here, we evaluated the reliability of 17 candidate RGs for five

Indexed as

adaptive evolutiongene expressionnatural populationreference genestability evaluationTibetan Plateau

Identifiers

PMID29152197
PMCPMC5677504
OpenAlexW2760540792

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.