Evidence map›Paper›PMID 28082601›Full record

ArticleGenome biology and evolution2016

Genomic Characterization of the Evolutionary Potential of the Sea Urchin Strongylocentrotus droebachiensis Facing Ocean Acidification.

Daniel E Runcie, Narimane Dorey, David A Garfield, Meike Stumpp, Sam Dupont, Gregory A Wray

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 26 citations in OpenAlex.

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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

6 authors at 5 institutions in 3 countries.

Daniel E RuncieDepartment of Biology, Duke University, Durham, NC, USA.
Narimane DoreyDepartment of Biological and Environmental Sciences, University of Gothenburg, Fiskebäckskil, Sweden.
David A GarfieldDepartment of Biology, Duke University, Durham, NC, USA.
Meike StumppDepartment of Biological and Environmental Sciences, University of Gothenburg, Fiskebäckskil, Sweden.
Sam DupontDepartment of Biological and Environmental Sciences, University of Gothenburg, Fiskebäckskil, Sweden.
Gregory A WrayDepartment of Biology, Duke University, Durham, NC, USA.
University of Gothenburg · SEDuke University · USGEOMAR Helmholtz Centre for Ocean Research Kiel · DEHumboldt-Universität zu Berlin · DEUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ocean acidification (OA) is increasing due to anthropogenic CO2 emissions and poses a threat to marine species and communities worldwide. To better project the effects of acidification on organisms' health and persistence, an understanding is needed of the 1) mechanisms underlying developmental and physiological tolerance and 2) potential populations have for rapid evolutionary adaptation. This is especially challenging in nonmodel species where targeted assays of metabolism and stress physiology may not be available or economical for large-scale assessments of genetic constraints. We used mRNA sequencing and a quantitative genetics breeding design to study mechanisms underlying genetic variability and tolerance to decreased seawater pH (-0.4 pH units) in larvae of the sea urchin Strongylocentrotus droebachiensis. We used a gene ontology-based approach to integrate expression profiles into indirect measures of cellular and biochemical traits underlying variation in larval performance (i.e., growth rates). Molecular responses to OA were complex, involving changes to several functions such as growth rates, cell division, metabolism, and immune activities. Surprisingly, the magnitude of pH effects on molecular traits tended to be small relative to variation attributable to segregating functional genetic variation in this species. We discuss how the application of transcriptomics and quantitative genetics approaches across diverse species can enrich our understanding of the biological impacts of climate change.

Indexed as

GenomicsAdaptation, PhysiologicalAnimalsCarbon DioxideClimate ChangeEvolution, MolecularOceans and SeasSeawaterStrongylocentrotusCarbon Dioxideclimate changegene set variation analysisgenetic variationplasticityRNAseqSystem genetics

Identifiers

PMID28082601
PMCPMC5521728
OpenAlexW2574104594

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.