Evidence map›Paper›PMID 35279735›Full record

ArticleJournal of molecular evolution2022

A Thermodynamic Model for Water Activity and Redox Potential in Evolution and Development.

Jeffrey M Dick

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular evolution, 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
0.4field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

1 author at 1 institution in 2 countries.

Jeffrey M DickKey Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, School of Geosciences and Info-Physics, Central South University, Changsha, 410083, China. jeff@chnosz.net.ORCID 0000-0002-0687-5890
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reactions involving water and oxygen are basic features of geological and biological processes. To understand how life interacts with its environment requires monitoring interactions with [Formula: see text] and [Formula: see text] not only at timescales relevant to organismal growth but also over billions of years of geobiological evolution. Chemical transformations intrinsic to evolution and development were characterized by analyzing data from recent phylostratigraphic and proteomic studies. This two-stage analysis involves obtaining chemical metrics (carbon oxidation state and stoichiometric hydration state) from the elemental compositions of proteins followed by modeling the relative stabilities of target proteins against a proteomic background to infer thermodynamic parameters [oxygen fugacity, water activity, and virtual redox potential (Eh)]. The main results of this study are a rise in carbon oxidation state of proteins spanning the time of the Great Oxidation Event, a rise in virtual redox potential that coincides with the likely emergence of aerobic metabolism, and a rise in carbon oxidation state of proteins inferred from the transcriptome in late stages of Bacillus subtilis biofilm growth. Furthermore, stoichiometric hydration state of expressed proteins decreases through stages of biofilm development, drops at the same time as a drop in organismal water content during fruit fly development, and is lower for proteins with more recent gene ages, all of which support the inference of higher hydration potentials at earlier time points. These results show how the evolutionary and developmental dynamics of major chemical variables can be deciphered through thermodynamic analysis of proteins as chemical entities.

Indexed as

ProteomicsWaterOxidation-ReductionProteinsThermodynamicsProteinsWaterBiofilm developmentGeochemical biologyOxidation stateProtein evolutionProteomicsWater activity

Identifiers

PMID35279735
OpenAlexW4221035237

What Socratic 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 Socratic graph.