Evidence map›Paper›PMID 34145300›Full record

ArticleScientific reports2021

Modeling the metabolic profile of Mytilus edulis reveals molecular signatures linked to gonadal development, sex and environmental site.

Jaanika Kronberg, Jonathan J Byrne, Jeroen Jansen, Philipp Antczak, Adam Hines, John Bignell, Ioanna Katsiadaki, Mark R Viant, Francesco Falciani

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Jaanika KronbergInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 3BX, UK.
Jonathan J ByrneSchool of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK.
Jeroen JansenRadboud University, Nijmegen, The Netherlands.
Philipp AntczakInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 3BX, UK.
Adam HinesSchool of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK.
John BignellCentre for Environment Fisheries and Aquaculture Science (Cefas), The North, Barrack Road, Weymouth, Dorset, DT4 8UB, UK.
Ioanna KatsiadakiCentre for Environment Fisheries and Aquaculture Science (Cefas), The North, Barrack Road, Weymouth, Dorset, DT4 8UB, UK.
Mark R ViantSchool of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK. m.viant@bham.ac.uk.
Francesco FalcianiInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 3BX, UK. falcianf@liverpool.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council 991068
6 · The paper itself

Abstract

The monitoring of anthropogenic chemicals in the aquatic environment including their potential effects on aquatic organisms, is important for protecting life under water, a key sustainable development goal. In parallel with monitoring the concentrations of chemicals of concern, sentinel species are often used to investigate the biological effects of contaminants. Among these, bivalve molluscs such as mussels are filter-feeding and sessile, hence an excellent model system for measuring localized pollution. This study investigates the relationship between the metabolic state of the blue mussel (Mytilus edulis) and its physiology in different environments. We developed a computational model based on a reference site (relatively unpolluted) and integrated seasonal dynamics of metabolite relative concentrations with key physiological indicators and environmental parameters. The analysis of the model revealed that changes in metabolite levels during an annual cycle are influenced by water temperature and are linked to gonadal development. This work supports the importance of data-driven biology and its potential in environmental monitoring.

Indexed as

BiomarkersEnvironmentMetabolomeSexual DevelopmentAnimalsComputational BiologyFemaleGonadsMaleMetabolomicsModels, TheoreticalMytilus edulisSeasonsSex FactorsBiomarkers

Identifiers

PMID34145300
PMCPMC8213754

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.