Evidence map›Paper›PMID 32200740›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2020

Linking regional shifts in microbial genome adaptation with surface ocean biogeochemistry.

Catherine A Garcia, George I Hagstrom, Alyse A Larkin, Lucas J Ustick, Simon A Levin, Michael W Lomas, Adam C Martiny

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Article
  7. Review
  8. Article
  9. Environmental control of marine phytoplankton stoichiometry in the North Atlantic Ocean.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. Comparative Thermophysiology of MarineFrontiers in microbiology · 2022
    Article
  11. Global patterns and predictors of C:N:P in marine ecosystems.Communications earth & environment · 2022
    Article
  12. Article
  13. Article
  14. Conceptual challenges in microbial community ecology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  15. 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

7 authors.

Catherine A GarciaDepartment of Earth System Science, University of California, Irvine, CA 92697, USA.
George I HagstromDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.
Alyse A LarkinDepartment of Earth System Science, University of California, Irvine, CA 92697, USA.
Lucas J UstickDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, USA.
Simon A LevinDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.
Michael W LomasBigelow Laboratory for Ocean Sciences, East Boothbay, ME 04544, USA.
Adam C MartinyDepartment of Earth System Science, University of California, Irvine, CA 92697, USA.

Funding

T32 for Training in Microbiology & Infectious DiseasesT32AI141346 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI Celia Goulding, Melissa Bruckner Lodoen · 2019 to 2026
$1.0M
NIAID NIH HHS T32 AI141346
6 · The paper itself

Abstract

Linking 'omics measurements with biogeochemical cycles is a widespread challenge in microbial community ecology. Here, we propose applying genomic adaptation as 'biosensors' for microbial investments to overcome nutrient stress. We then integrate this genomic information with a trait-based model to predict regional shifts in the elemental composition of marine plankton communities. We evaluated this approach using metagenomic and particulate organic matter samples from the Atlantic, Indian and Pacific Oceans. We find that our genome-based trait model significantly improves our prediction of particulate C : P (carbon : phosphorus) across ocean regions. Furthermore, we detect previously unrecognized ocean areas of iron, nitrogen and phosphorus stress. In many ecosystems, it can be very challenging to quantify microbial stress. Thus, a carefully calibrated genomic approach could become a widespread tool for understanding microbial responses to environmental changes and the biogeochemical outcomes. This article is part of the theme issue 'Conceptual challenges in microbial community ecology'.

Indexed as

Adaptation, BiologicalMetagenomeAtlantic OceanGenome, MicrobialIndian OceanMicrobiotaPacific OceanSeawaterelemental stoichiometrymetagenomics

Identifiers

PMID32200740
PMCPMC7133529

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.