Evidence map›Paper›PMID 30254320›Full record

ArticleThe ISME journal2019

Effects of nutrient enrichment on surface microbial community gene expression in the oligotrophic North Pacific Subtropical Gyre.

J C Robidart, J D Magasin, I N Shilova, K A Turk-Kubo, S T Wilson, D M Karl, C A Scholin, J P Zehr

Open access · bronzeAbstract read
In one paragraph

Article in The ISME journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Linking regional shifts in microbial genome adaptation with surface ocean biogeochemistry.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  4. Review
  5. Article
  6. Simulation of Enhanced Growth of Marine Group IIFrontiers in microbiology · 2020
    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

8 authors at 3 institutions in 2 countries.

J C RobidartDepartment of Ocean Sciences, University of California Santa Cruz, Santa Cruz, CA, USA.
J D MagasinDepartment of Ocean Sciences, University of California Santa Cruz, Santa Cruz, CA, USA.
I N ShilovaDepartment of Ocean Sciences, University of California Santa Cruz, Santa Cruz, CA, USA.
K A Turk-KuboDepartment of Ocean Sciences, University of California Santa Cruz, Santa Cruz, CA, USA.
S T WilsonDaniel K. Inouye Center for Microbial Oceanography: Research and Education, Department of Oceanography, University of Hawai'i at Mānoa, Honolulu, HI, USA.ORCID http://orcid.org/0000-0002-7289-0909
D M KarlDaniel K. Inouye Center for Microbial Oceanography: Research and Education, Department of Oceanography, University of Hawai'i at Mānoa, Honolulu, HI, USA.
C A ScholinMonterey Bay Aquarium Research Institute, Moss Landing, CA, USA.
J P ZehrDepartment of Ocean Sciences, University of California Santa Cruz, Santa Cruz, CA, USA. zehrj@ucsc.edu.ORCID http://orcid.org/0000-0002-5691-5408
University of California, Santa Cruz · USUniversity of Hawaiʻi at Mānoa · USMonterey Bay Aquarium Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine microbial communities are critical for biogeochemical cycles and the productivity of ocean ecosystems. Primary productivity in the surface ocean is constrained by nutrients which are supplied, in part, by mixing with deeper water. Little is known about the time scales, frequency, or impact of mixing on microbial communities. We combined in situ sampling using the Environmental Sample Processor and a small-scale mixing experiment with lower euphotic zone water to determine how individual populations respond to mixing. Transcriptional responses were measured using the MicroTOOLs (Microbiological Targets for Ocean Observing Laboratories) microarray, which targets all three domains of life and viruses. The experiment showed that mixing substantially affects photosynthetic taxa as expected, but surprisingly also showed that populations respond differently to unfiltered deep water which contains particles (organisms and detritus) compared to filtered deep water that only contains nutrients and viruses, pointing to the impact of biological interactions associated with these events. Comparison between experimental and in situ population transcription patterns indicated that manipulated populations can serve as analogs for natural populations, and that natural populations may be frequently or continuously responding to nutrients from deeper waters. Finally, this study also shows that the microarray approach, which is complementary to metatranscriptomic sequencing, is useful for determining the physiological status of in situ microbial communities.

Indexed as

MicrobiotaWater MicrobiologyAnimalsBacteriaDNAEcosystemPacific OceanRNASeawaterVirusesDNARNA

Identifiers

PMID30254320
PMCPMC6331622
OpenAlexW2894215666

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.