Evidence map›Paper›PMID 24477198›Full record

ArticleThe ISME journal2014

A microarray for assessing transcription from pelagic marine microbial taxa.

Irina N Shilova, Julie C Robidart, H James Tripp, Kendra Turk-Kubo, Boris Wawrik, Anton F Post, Anne W Thompson, Bess Ward, James T Hollibaugh, Andy Millard and 5 more

Abstract read
In one paragraph

Article in The ISME journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Complementary approaches to diagnosing marine diseases: a union of the modern and the classic.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016
    Review
  10. Article
  11. Review
  12. Review
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

15 authors.

Irina N ShilovaDepartment of Ocean Sciences, University of California Santa Cruz, Santa Cruz, CA, USA.
Julie C RobidartDepartment of Ocean Sciences, University of California Santa Cruz, Santa Cruz, CA, USA.
H James TrippDOE Joint Genome Institute, Walnut Creek, CA, USA.
Kendra Turk-KuboDepartment of Ocean Sciences, University of California Santa Cruz, Santa Cruz, CA, USA.
Boris WawrikDepartment of Microbiology and Plant Biology, University of Oklahoma, Oklahoma, USA.
Anton F PostMarine Biological Laboratory, Woods Hole, MA, USA.
Anne W ThompsonAdvanced Cytometry Group, BD Biosciences, Seattle, WA, USA.
Bess WardDepartment of Geosciences, Princeton University, Princeton, NJ, USA.
James T HollibaughDepartment of Marine Sciences, University of Georgia, Athens, GA, USA.
Andy MillardDepartment of Marine Microbiology, University of Warwick, Coventry, UK.
Martin OstrowskiDepartment of Marine Microbiology, University of Warwick, Coventry, UK.
David J ScanlanDepartment of Marine Microbiology, University of Warwick, Coventry, UK.
Ryan W PaerlMarine Biology Research Division, University of California San Diego, San Diego, CA, USA.
Rhona StuartPhysical and Life Sciences, Lawrence Livermore National Laboratory, Livermore, CA, USA.
Jonathan P ZehrDepartment of Ocean Sciences, University of California Santa Cruz, Santa Cruz, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metagenomic approaches have revealed unprecedented genetic diversity within microbial communities across vast expanses of the world's oceans. Linking this genetic diversity with key metabolic and cellular activities of microbial assemblages is a fundamental challenge. Here we report on a collaborative effort to design MicroTOOLs (Microbiological Targets for Ocean Observing Laboratories), a high-density oligonucleotide microarray that targets functional genes of diverse taxa in pelagic and coastal marine microbial communities. MicroTOOLs integrates nucleotide sequence information from disparate data types: genomes, PCR-amplicons, metagenomes, and metatranscriptomes. It targets 19 400 unique sequences over 145 different genes that are relevant to stress responses and microbial metabolism across the three domains of life and viruses. MicroTOOLs was used in a proof-of-concept experiment that compared the functional responses of microbial communities following Fe and P enrichments of surface water samples from the North Pacific Subtropical Gyre. We detected transcription of 68% of the gene targets across major taxonomic groups, and the pattern of transcription indicated relief from Fe limitation and transition to N limitation in some taxa. Prochlorococcus (eHLI), Synechococcus (sub-cluster 5.3) and Alphaproteobacteria SAR11 clade (HIMB59) showed the strongest responses to the Fe enrichment. In addition, members of uncharacterized lineages also responded. The MicroTOOLs microarray provides a robust tool for comprehensive characterization of major functional groups of microbes in the open ocean, and the design can be easily amended for specific environments and research questions.

Indexed as

Transcription, GeneticAlphaproteobacteriaAquatic OrganismsArchaeaGenetic MarkersGenetic VariationIronMetagenomeMicrobial ConsortiaOceans and SeasOligonucleotide Array Sequence AnalysisPhylogenyProchlorococcusSynechococcusVirusesGenetic MarkersIron

Identifiers

PMID24477198
PMCPMC4069398

What OpenQuestion holds

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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.