Evidence map›Paper›PMID 35950761›Full record

ArticlemSystems2022

Reconstruction and Analysis of Thermodynamically Constrained Models Reveal Metabolic Responses of a Deep-Sea Bacterium to Temperature Perturbations.

Keith Dufault-Thompson, Chang Nie, Huahua Jian, Fengping Wang, Ying Zhang

Abstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

5 authors.

Keith Dufault-ThompsonDepartment of Cell and Molecular Biology, College of the Environment and Life Sciences, University of Rhode Islandgrid.20431.34, Kingston, Rhode Island, USA.
Chang NieState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Development Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong Universitygrid.16821.3c, Shanghai, People's Republic of China.
Huahua JianState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Development Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong Universitygrid.16821.3c, Shanghai, People's Republic of China.
Fengping WangState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Development Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong Universitygrid.16821.3c, Shanghai, People's Republic of China.ORCID 0000-0002-3429-8410
Ying ZhangDepartment of Cell and Molecular Biology, College of the Environment and Life Sciences, University of Rhode Islandgrid.20431.34, Kingston, Rhode Island, USA.ORCID 0000-0001-8759-0194

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial acclimation to different temperature conditions can involve broad changes in cell composition and metabolic efficiency. A systems-level view of these metabolic responses in nonmesophilic organisms, however, is currently missing. In this study, thermodynamically constrained genome-scale models were applied to simulate the metabolic responses of a deep-sea psychrophilic bacterium, Shewanella psychrophila WP2, under suboptimal (4°C), optimal (15°C), and supraoptimal (20°C) growth temperatures. The models were calibrated with experimentally determined growth rates of WP2. Gibbs free energy change of reactions (Δ

Indexed as

Citric Acid CycleMetabolic Networks and PathwaysAdenosine TriphosphateCarbohydrate MetabolismTemperatureAdenosine Triphosphatedeep-sea bacteriametabolic modelingpsychrophilesShewanellathermodynamics

Identifiers

PMID35950761
PMCPMC9426432

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.