Evidence map›Paper›PMID 24651851›Full record

ArticlePloS one2014

Discovery of a strongly-interrelated gene network in corals under constant darkness by correlation analysis after wavelet transform on complex network model.

Longlong Liu, Jieqiong Qu, Xilong Zhou, Xuefeng Liu, Zhaobao Zhang, Xumin Wang, Tao Liu, Guiming Liu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Longlong LiuOcean University of China, Qingdao, Shandong, People's Republic of China.
Jieqiong QuOcean University of China, Qingdao, Shandong, People's Republic of China.
Xilong ZhouOcean University of China, Qingdao, Shandong, People's Republic of China.
Xuefeng LiuOcean University of China, Qingdao, Shandong, People's Republic of China.
Zhaobao ZhangCollege of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, People's Republic of China.
Xumin WangCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China.
Tao LiuOcean University of China, Qingdao, Shandong, People's Republic of China.
Guiming LiuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China.
Ocean University of China · CNBeijing Institute of Genomics · CNChinese Academy of Sciences · CNShandong University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coral reefs occupy a relatively small portion of sea area, yet serve as a crucial source of biodiversity by establishing harmonious ecosystems with marine plants and animals. Previous researches mainly focused on screening several key genes induced by stress. Here we proposed a novel method--correlation analysis after wavelet transform of complex network model, to explore the effect of light on gene expression in the coral Acropora millepora based on microarray data. In this method, wavelet transform and the conception of complex network were adopted, and 50 key genes with large differences were finally captured, including both annotated genes and novel genes without accurate annotation. These results shed light on our understanding of coral's response toward light changes and the genome-wide interaction among genes under the control of biorhythm, and hence help us to better protect the coral reef ecosystems. Further studies are needed to explore how functional connections are related to structural connections, and how connectivity arises from the interactions within and between different systems. The method introduced in this study for analyzing microarray data will allow researchers to explore genome-wide interaction network with their own dataset and understand the relevant biological processes.

Indexed as

Gene Regulatory NetworksModels, GeneticStatistics as TopicWavelet AnalysisAnimalsAnthozoaDarknessDNA ProbesGene Expression ProfilingGene Expression RegulationMolecular Sequence AnnotationDNA Probes

Identifiers

PMID24651851
PMCPMC3961355
OpenAlexW1965748601

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.