Evidence map›Paper›PMID 24926657›Full record

ArticlePloS one2014

Comparative transcriptome analysis of four prymnesiophyte algae.

Amy E Koid, Zhenfeng Liu, Ramon Terrado, Adriane C Jones, David A Caron, Karla B Heidelberg

Abstract readComparative Study
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. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

13 citing papers in PubMed.

  1. Article
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  3. Flexible BProceedings of the National Academy of Sciences of the United States of America · 2024
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  8. Frontiers in molecular biosciences · 2017
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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.

Amy E KoidDepartment of Biological Sciences, University of Southern California Los Angeles, Los Angeles, California, United States of America.
Zhenfeng LiuDepartment of Biological Sciences, University of Southern California Los Angeles, Los Angeles, California, United States of America.
Ramon TerradoDepartment of Biological Sciences, University of Southern California Los Angeles, Los Angeles, California, United States of America.
Adriane C JonesDepartment of Biological Sciences, University of Southern California Los Angeles, Los Angeles, California, United States of America.
David A CaronDepartment of Biological Sciences, University of Southern California Los Angeles, Los Angeles, California, United States of America.
Karla B HeidelbergDepartment of Biological Sciences, University of Southern California Los Angeles, Los Angeles, California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic studies of bacteria, archaea and viruses have provided insights into the microbial world by unveiling potential functional capabilities and molecular pathways. However, the rate of discovery has been slower among microbial eukaryotes, whose genomes are larger and more complex. Transcriptomic approaches provide a cost-effective alternative for examining genetic potential and physiological responses of microbial eukaryotes to environmental stimuli. In this study, we generated and compared the transcriptomes of four globally-distributed, bloom-forming prymnesiophyte algae: Prymnesium parvum, Chrysochromulina brevifilum, Chrysochromulina ericina and Phaeocystis antarctica. Our results revealed that the four transcriptomes possess a set of core genes that are similar in number and shared across all four organisms. The functional classifications of these core genes using the euKaryotic Orthologous Genes (KOG) database were also similar among the four study organisms. More broadly, when the frequencies of different cellular and physiological functions were compared with other protists, the species clustered by both phylogeny and nutritional modes. Thus, these clustering patterns provide insight into genomic factors relating to both evolutionary relationships as well as trophic ecology. This paper provides a novel comparative analysis of the transcriptomes of ecologically important and closely related prymnesiophyte protists and advances an emerging field of study that uses transcriptomics to reveal ecology and function in protists.

Indexed as

Gene Expression ProfilingEvolution, MolecularHaptophytaMolecular Sequence AnnotationPhylogenyRNA, MessengerSequence Analysis, RNARNA, Messenger

Identifiers

PMID24926657
PMCPMC4057078

What OpenQuestion holds

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LicenceCC BY
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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.