Evidence map›Paper›PMID 29491946›Full record

ArticleCurrent zoology2016

Genetic load in marine animals: a review.

Louis V Plough

Abstract read
In one paragraph

Article in Current zoology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Article
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  9. The genetic legacy of a global marine invader.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  18. Review
  19. Survival and growth of triploid eastern oysters,Aquaculture (Amsterdam, Netherlands) · 2023
    Article
  20. 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

1 author.

Louis V PloughHorn Point Laboratory, University of Maryland Center for Environmental Science, 2020 Horns Pt. Road, Cambridge, MD 21613, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine invertebrates and fish are well known for their remarkable genetic diversity, which is commonly explained by large population size and the characteristic dispersive nature of their early, planktonic life history. Other potential sources of diversity in marine animals, such as a higher mutation rate, have been much less considered, though evidence for a high genetic load in marine bivalves has been accumulating for nearly half a century. In this review, I examine evidence for a higher genetic load in marine animals from studies of molecular marker segregation and linkage over the last 40 years, and survey recent work examining mutational load with molecular evolution approaches. Overall, marine animals appear to have higher genetic load than terrestrial animals (higher dn/ds ratios, inbreeding load, and segregation dis`tortion), though results are mixed for marine fish and data are lacking for many marine animal groups. Bivalves (oysters) have the highest loads observed among marine animals, comparable only to long-lived plants; however, more data is needed from other bivalves and more marine invertebrate taxa generally. For oysters, a higher load may be related to a chronically lower effective population size that, in concert with a higher mutational rate, elevate the number of deleterious mutations observed. I suggest that future studies use high-throughput sequencing approaches to examine (1) polymorphism in genome-scale datasets across a wider range of marine animals at the population level and (2) intergenerational mutational changes between parents and offspring in crosses of aquaculture species to quantify mutation rates.

Indexed as

dn/ds ratioshigh fecunditylarval mortalitylife historymutationoystersegregation distortion.

Identifiers

PMID29491946
PMCPMC5804265

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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.