Evidence map›Paper›PMID 22993690›Full record

ArticleScientific reports2012

Integrating multi-origin expression data improves the resolution of deep phylogeny of ray-finned fish (Actinopterygii).

Ming Zou, Baocheng Guo, Wenjing Tao, Gloria Arratia, Shunping He

Abstract read
In one paragraph

Article in Scientific reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

5 authors.

Ming ZouThe Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, PR China.
Baocheng Guo
Wenjing Tao
Gloria Arratia
Shunping He

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The actinopterygians comprise nearly one-half of all extant vertebrate species and are very important for human well-being. However, the phylogenetic relationships among certain groups within the actinopterygians are still uncertain, and debates about these relationships have continued for a long time. Along with the progress achieved in sequencing technologies, phylogenetic analyses based on multi-gene sequences, termed phylogenomic approaches, are becoming increasingly common and often result in well-resolved and highly supported phylogenetic hypotheses. Based on the transcriptome sequences generated in this study and the extensive expression data currently available from public databases, we obtained alignments of 274 orthologue groups for 26 scientifically and commercially important actinopterygians, representing 17 out of 44 orders within the class Actinopterygii. Using these alignments and probabilistic methods, we recovered relationships between basal actinopterygians and teleosts, among teleosts within protacanthopterygians and related lineages, and also within acanthomorphs. These relationships were recovered with high confidence.

Indexed as

Models, GeneticPhylogenyTranscriptomeAnimalsBayes TheoremFishesLikelihood FunctionsMarkov ChainsMonte Carlo MethodMultilocus Sequence TypingSequence AlignmentSequence Homology, Nucleic Acid

Identifiers

PMID22993690
PMCPMC3444750

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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.