Evidence map›Paper›PMID 25926880›Full record

ArticleEvolutionary applications2015

A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification.

Alex J Malvezzi, Christopher S Murray, Kevin A Feldheim, Joseph D DiBattista, Dany Garant, Christopher J Gobler, Demian D Chapman, Hannes Baumann

Abstract read
In one paragraph

Article in Evolutionary applications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. ElevatedMarine ecology progress series · 2020
    Article
  7. Article
  8. Diel and tidal pCOScientific reports · 2019
    Article
  9. Article
  10. Heritability of behavioural tolerance to high COEvolutionary applications · 2017
    Article
  11. Lessons from two high COGlobal change biology · 2017
    Article
  12. 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

8 authors.

Alex J MalvezziSchool of Marine and Atmospheric Sciences, Stony Brook University Stony Brook, NY, USA.
Christopher S MurrayDepartment of Marine Sciences, University of Connecticut Groton, CT, USA.
Kevin A FeldheimPritzker Laboratory for Molecular Systematics and Evolution, Field Museum of Natural History Chicago, IL, USA.
Joseph D DiBattistaRed Sea Research Center, King Abdullah University of Science and Technology Thuwal, Saudi Arabia.
Dany GarantDépartement de Biologie, Université de Sherbrooke Sherbrooke, QC, Canada.
Christopher J GoblerSchool of Marine and Atmospheric Sciences, Stony Brook University Stony Brook, NY, USA.
Demian D ChapmanSchool of Marine and Atmospheric Sciences, Stony Brook University Stony Brook, NY, USA.
Hannes BaumannDepartment of Marine Sciences, University of Connecticut Groton, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing the potential of marine organisms to adapt genetically to increasing oceanic CO2 levels requires proxies such as heritability of fitness-related traits under ocean acidification (OA). We applied a quantitative genetic method to derive the first heritability estimate of survival under elevated CO2 conditions in a metazoan. Specifically, we reared offspring, selected from a wild coastal fish population (Atlantic silverside, Menidia menidia), at high CO2 conditions (∼2300 μatm) from fertilization to 15 days posthatch, which significantly reduced survival compared to controls. Perished and surviving offspring were quantitatively sampled and genotyped along with their parents, using eight polymorphic microsatellite loci, to reconstruct a parent-offspring pedigree and estimate variance components. Genetically related individuals were phenotypically more similar (i.e., survived similarly long at elevated CO2 conditions) than unrelated individuals, which translated into a significantly nonzero heritability (0.20 ± 0.07). The contribution of maternal effects was surprisingly small (0.05 ± 0.04) and nonsignificant. Survival among replicates was positively correlated with genetic diversity, particularly with observed heterozygosity. We conclude that early life survival of M. menidia under high CO2 levels has a significant additive genetic component that could elicit an evolutionary response to OA, depending on the strength and direction of future selection.

Indexed as

animal modelASRemlAtlantic Silverside Menidia menidiagenotypingheritabilitymicrosatellitespedigree analysissurvival

Identifiers

PMID25926880
PMCPMC4408146

What OpenQuestion holds

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LicenceCC BY
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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.