Evidence map›Paper›PMID 31989922›Full record

ArticleeLife2020

Genomic adaptations in information processing underpin trophic strategy in a whole-ecosystem nutrient enrichment experiment.

Jordan G Okie, Amisha T Poret-Peterson, Zarraz Mp Lee, Alexander Richter, Luis D Alcaraz, Luis E Eguiarte, Janet L Siefert, Valeria Souza, Chris L Dupont, James J Elser

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

22 citing papers in PubMed, 46 citations in OpenAlex.

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  15. Computational Insight into Intraspecies Distinctions inInternational journal of molecular sciences · 2023
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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 6 institutions in 2 countries.

Jordan G OkieSchool of Earth and Space Exploration, Arizona State University, Tempe, United States.ORCID 0000-0002-7884-7688
Amisha T Poret-PetersonUSDA-ARS Crops Pathology and Genetic Research Unit, Davis, United States.
Zarraz Mp LeeSchool of Life Sciences, Arizona State University, Tempe, United States.
Alexander RichterJ Craig Venter Institute, La Jolla, United States.
Luis D AlcarazDepartamento de Biología Celular, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico.ORCID 0000-0003-3284-0605
Luis E EguiarteDepartamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Mexico City, Mexico.ORCID 0000-0002-5906-9737
Janet L SiefertDepartment of Statistics, Rice University, Houston, United States.
Valeria SouzaDepartamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Mexico City, Mexico.ORCID 0000-0002-2992-4229
Chris L DupontJ Craig Venter Institute, La Jolla, United States.
James J ElserSchool of Life Sciences, Arizona State University, Tempe, United States.
Arizona State University · USInstituto de Ecología · MXJ. Craig Venter Institute · USAgricultural Research Service · USRice University · USUniversidad Nacional Autónoma de México · MX

Funding

NASA NAI5-0018NASA NNA08CN87ANASA NNA13AA93ANASA NNA15BB034ANASA NNH05ZDA001CNASA NNH12ZDA002CNASA NNX16AJ61GNational Science Foundation 1536546National Science Foundation DEB-0950175NIAID NIH HHS N01 AI050018
6 · The paper itself

Abstract

Several universal genomic traits affect trade-offs in the capacity, cost, and efficiency of the biochemical information processing that underpins metabolism and reproduction. We analyzed the role of these traits in mediating the responses of a planktonic microbial community to nutrient enrichment in an oligotrophic, phosphorus-deficient pond in Cuatro Ciénegas, Mexico. This is one of the first whole-ecosystem experiments to involve replicated metagenomic assessment. Mean bacterial genome size, GC content, total number of tRNA genes, total number of rRNA genes, and codon usage bias in ribosomal protein sequences were all higher in the fertilized treatment, as predicted on the basis of the assumption that oligotrophy favors lower information-processing costs whereas copiotrophy favors higher processing rates. Contrasting changes in trait variances also suggested differences between traits in mediating assembly under copiotrophic versus oligotrophic conditions. Trade-offs in information-processing traits are apparently sufficiently pronounced to play a role in community assembly because the major components of metabolism-information, energy, and nutrient requirements-are fine-tuned to an organism's growth and trophic strategy.

Indexed as

EcosystemBacteriaBase CompositionCodon UsageFertilizersGenome, BacterialMetagenomeMexicoPlanktonPondsProtein BiosynthesisRNA, BacterialRNA, RibosomalRNA, TransferFertilizersRNA, BacterialRNA, RibosomalRNA, Transfercodon usage biasecologyGC contentgenome sizemetagenomicsphosphorous fertilizationrRNA operon copy number

Identifiers

PMID31989922
PMCPMC7028357
OpenAlexW3004160591

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.