Evidence map›Paper›PMID 22158395›Full record

ArticleThe ISME journal2012

High-throughput isotopic analysis of RNA microarrays to quantify microbial resource use.

Xavier Mayali, Peter K Weber, Eoin L Brodie, Shalini Mabery, Paul D Hoeprich, Jennifer Pett-Ridge

Open access · bronzeAbstract read
In one paragraph

Article in The ISME journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. NanoSIP: NanoSIMS Applications for Microbial Biology.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Microbial Surface Colonization and Biofilm Development in Marine Environments.Microbiology and molecular biology reviews : MMBR · 2016
    Review
  13. Quantitative microbial ecology through stable isotope probing.Applied and environmental microbiology · 2015
    Article
  14. Tracking heavy water (D2O) incorporation for identifying and sorting active microbial cells.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article
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 1 country.

Xavier MayaliPhysical and Life Science Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA. mayali1@llnl.gov
Peter K Weber
Eoin L Brodie
Shalini Mabery
Paul D Hoeprich
Jennifer Pett-Ridge
Lawrence Livermore National Laboratory · USLawrence Berkeley National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most microorganisms remain uncultivated, and typically their ecological roles must be inferred from diversity and genomic studies. To directly measure functional roles of uncultivated microbes, we developed Chip-stable isotope probing (SIP), a high-sensitivity, high-throughput SIP method performed on a phylogenetic microarray (chip). This approach consists of microbial community incubations with isotopically labeled substrates, hybridization of the extracted community rRNA to a microarray and measurement of isotope incorporation--and therefore substrate use--by secondary ion mass spectrometer imaging (NanoSIMS). Laboratory experiments demonstrated that Chip-SIP can detect isotopic enrichment of 0.5 atom % (13)C and 0.1 atom % (15)N, thus permitting experiments with short incubation times and low substrate concentrations. We applied Chip-SIP analysis to a natural estuarine community and quantified amino acid, nucleic acid or fatty acid incorporation by 81 distinct microbial taxa, thus demonstrating that resource partitioning occurs with relatively simple organic substrates. The Chip-SIP approach expands the repertoire of stable isotope-enabled methods available to microbial ecologists and provides a means to test genomics-generated hypotheses about biogeochemical function in any natural environment.

Indexed as

PhylogenyWater MicrobiologyBacteriaCarbon IsotopesEstuariesGenomicsHigh-Throughput Screening AssaysNitrogen IsotopesOligonucleotide Array Sequence AnalysisReproducibility of ResultsRNA, BacterialRNA, Ribosomal, 16SCarbon IsotopesNitrogen IsotopesRNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID22158395
PMCPMC3358021
OpenAlexW2002424690

What OpenQuestion holds

Textmetadata
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.