Evidence map›Paper›PMID 24752604›Full record

ArticlePloS one2014

Phylogenetic patterns in the microbial response to resource availability: amino acid incorporation in San Francisco Bay.

Xavier Mayali, Peter K Weber, Shalini Mabery, Jennifer Pett-Ridge

Abstract 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. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. NanoSIP: NanoSIMS Applications for Microbial Biology.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  5. Article
  6. Phytoplankton exudates and lysates support distinct microbial consortia with specialized metabolic and ecophysiological traits.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Screening for Type II L-Asparaginases: Lessons from the GenusIranian journal of pharmaceutical research : IJPR · 2017
    Article
  16. Article
  17. Article
  18. Microbial Surface Colonization and Biofilm Development in Marine Environments.Microbiology and molecular biology reviews : MMBR · 2016
    Review
  19. Chemotaxis toward phytoplankton drives organic matter partitioning among marine bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  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

4 authors.

Xavier MayaliPhysical and Life Science Directorate, Lawrence Livermore National Laboratory, Livermore California, United States of America.
Peter K WeberPhysical and Life Science Directorate, Lawrence Livermore National Laboratory, Livermore California, United States of America.
Shalini MaberyPhysical and Life Science Directorate, Lawrence Livermore National Laboratory, Livermore California, United States of America.
Jennifer Pett-RidgePhysical and Life Science Directorate, Lawrence Livermore National Laboratory, Livermore California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquatic microorganisms are typically identified as either oligotrophic or copiotrophic, representing trophic strategies adapted to low or high nutrient concentrations, respectively. Here, we sought to take steps towards identifying these and additional adaptations to nutrient availability with a quantitative analysis of microbial resource use in mixed communities. We incubated an estuarine microbial community with stable isotope labeled amino acids (AAs) at concentrations spanning three orders of magnitude, followed by taxon-specific quantitation of isotopic incorporation using NanoSIMS analysis of high-density microarrays. The resulting data revealed that trophic response to AA availability falls along a continuum between copiotrophy and oligotrophy, and high and low activity. To illustrate strategies along this continuum more simply, we statistically categorized microbial taxa among three trophic types, based on their incorporation responses to increasing resource concentration. The data indicated that taxa with copiotrophic-like resource use were not necessarily the most active, and taxa with oligotrophic-like resource use were not always the least active. Two of the trophic strategies were not randomly distributed throughout a 16S rDNA phylogeny, suggesting they are under selective pressure in this ecosystem and that a link exists between evolutionary relatedness and substrate affinity. The diversity of strategies to adapt to differences in resource availability highlights the need to expand our understanding of microbial interactions with organic matter in order to better predict microbial responses to a changing environment.

Indexed as

PhylogenyAmino AcidsBaysDNA, RibosomalEcosystemIsotope LabelingSan FranciscoAmino AcidsDNA, Ribosomal

Identifiers

PMID24752604
PMCPMC3994146

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.