Evidence map›Paper›PMID 36036504›Full record

ArticlemSystems2022

Nitrogen and Iron Availability Drive Metabolic Remodeling and Natural Selection of Diverse Phytoplankton during Experimental Upwelling.

B C Kolody, S R Smith, L Zeigler Allen, J P McCrow, A Moustafa, D Shi, B M Hopkinson, F M M Morel, B B Ward, A E Allen

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Microbiology spectrum · 2024
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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

10 authors at 5 institutions in 3 countries.

B C KolodyScripps Institution of Oceanography, University of California, San Diego, California, USA.ORCID 0000-0002-2334-1751
S R SmithMicrobial and Environmental Genomics Group, J. Craig Venter Institute, La Jolla, California, USA.
L Zeigler AllenScripps Institution of Oceanography, University of California, San Diego, California, USA.ORCID 0000-0002-3436-5660
J P McCrowMicrobial and Environmental Genomics Group, J. Craig Venter Institute, La Jolla, California, USA.
A MoustafaDepartment of Biology, American University in Cairo, New Cairo, Egypt.
D ShiState Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, Fujian, People's Republic of China.ORCID 0000-0003-4432-1992
B M HopkinsonDepartment of Marine Sciences, University of Georgia, Athens, Georgia, USA.
F M M MorelDepartment of Geosciences, Princeton Universitygrid.16750.35, Princeton, New Jersey, USA.
B B WardDepartment of Geosciences, Princeton Universitygrid.16750.35, Princeton, New Jersey, USA.ORCID 0000-0001-7870-2684
A E AllenScripps Institution of Oceanography, University of California, San Diego, California, USA.ORCID 0000-0001-5911-6081
J. Craig Venter Institute · USPrinceton University · USAmerican University in Cairo · EGUniversity of Georgia · USXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nearly half of carbon fixation and primary production originates from marine phytoplankton, and much of it occurs in episodic blooms in upwelling regimes. Here, we simulated blooms limited by nitrogen and iron by incubating Monterey Bay surface waters with subnutricline waters and inorganic nutrients and measured the whole-community transcriptomic response during mid- and late-bloom conditions. Cell counts revealed that centric and pennate diatoms (largely Pseudo-nitzschia and Chaetoceros spp.) were the major blooming taxa, but dinoflagellates, prasinophytes, and prymnesiophytes also increased. Viral mRNA significantly increased in late bloom and likely played a role in the bloom's demise. We observed conserved shifts in the genetic similarity of phytoplankton populations to cultivated strains, indicating adaptive population-level changes in community composition. Additionally, the density of single nucleotide variants (SNVs) declined in late-bloom samples for most taxa, indicating a loss of intraspecific diversity as a result of competition and a selective sweep of adaptive alleles. We noted differences between mid- and late-bloom metabolism and differential regulation of light-harvesting complexes (LHCs) under nutrient stress. While most LHCs are diminished under nutrient stress, we showed that diverse taxa upregulated specialized, energy-dissipating LHCs in low iron. We also suggest the relative expression of

Indexed as

DiatomsPhytoplanktonIronNitrogenSelection, GeneticIronNitrogenbloomdiatomironmetatranscriptomenitrogenphytoplankton

Identifiers

PMID36036504
PMCPMC9599627
OpenAlexW4293798096

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.