Evidence map›Paper›PMID 35246618›Full record

ArticleHeredity2022

Searching for genetic evidence of demographic decline in an arctic seabird: beware of overlapping generations.

Emeline Charbonnel, Claire Daguin-Thiébaut, Lucille Caradec, Eléonore Moittié, Olivier Gilg, Maria V Gavrilo, Hallvard Strøm, Mark L Mallory, R I Guy Morrison, H Grant Gilchrist and 5 more

Abstract read
In one paragraph

Article in Heredity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Moult-Induced Changes in Gut Microbiota of African Penguins (Animals : an open access journal from MDPI · 2026
    Article
  2. Article
  3. 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

15 authors.

Emeline CharbonnelUniv. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, 38000, Grenoble, France.
Claire Daguin-ThiébautCNRS, Sorbonne Université, UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680, Roscoff, France.
Lucille CaradecCNRS, Sorbonne Université, UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680, Roscoff, France.
Eléonore MoittiéCNRS, Sorbonne Université, UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680, Roscoff, France.
Olivier GilgGroupe de Recherche en Ecologie Arctique (GREA), 21440, Francheville, France.ORCID http://orcid.org/0000-0002-9083-4492
Maria V GavriloArctic and Antarctic Research Institute (AARI), 198397, Saint-Petersburg, Russia.ORCID http://orcid.org/0000-0002-3500-9617
Hallvard StrømNorwegian Polar Institute, Fram Centre, 9296, Tromsø, Norway.
Mark L MalloryDepartment of Biology, Acadia University, 33 Westwood Avenue, Wolfville, NS, B4P2R6, Canada.ORCID http://orcid.org/0000-0003-2744-3437
R I Guy MorrisonEnvironment Canada, National Wildlife Research Centre, Ottawa, ON, K1A0H3, Canada.
H Grant GilchristEnvironment Canada, National Wildlife Research Centre, Ottawa, ON, K1A0H3, Canada.
Raphael LebloisCBGP, INRAE, CIRAD, IRD, Institut Agro, Montpellier SupAgro, Univ. Montpellier, 34980, Montferrier-sur-Lez, France.ORCID http://orcid.org/0000-0002-3051-4497
Camille RouxUniv. Lille, CNRS, UMR 8198 - Evo-Eco-Paleo, 59000, Lille, France.
Jonathan M YearsleySchool of Biology and Environmental Science, University College Dublin, Belfield, Dublin, Ireland.ORCID http://orcid.org/0000-0003-1838-0454
Glenn Yannic *Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, 38000, Grenoble, France. glenn.yannic@univ-smb.fr.ORCID http://orcid.org/0000-0002-6477-2312
Thomas Broquet *CNRS, Sorbonne Université, UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680, Roscoff, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic data are useful for detecting sudden population declines in species that are difficult to study in the field. Yet this indirect approach has its own drawbacks, including population structure, mutation patterns, and generation overlap. The ivory gull (Pagophila eburnea), a long-lived Arctic seabird, is currently suffering from rapid alteration of its primary habitat (i.e., sea ice), and dramatic climatic events affecting reproduction and recruitment. However, ivory gulls live in remote areas, and it is difficult to assess the population trend of the species across its distribution. Here we present complementary microsatellite- and SNP-based genetic analyses to test a recent bottleneck genetic signal in ivory gulls over a large portion of their distribution. With attention to the potential effects of population structure, mutation patterns, and sample size, we found no significant signatures of population decline worldwide. At a finer scale, we found a significant bottleneck signal at one location in Canada. These results were compared with predictions from simulations showing how generation time and generation overlap can delay and reduce the bottleneck microsatellite heterozygosity excess signal. The consistency of the results obtained with independent methods strongly indicates that the species shows no genetic evidence of an overall decline in population size. However, drawing conclusions related to the species' population trends will require a better understanding of the effect of age structure in long-lived species. In addition, estimates of the effective global population size of ivory gulls were surprisingly low (~1000 ind.), suggesting that the evolutionary potential of the species is not assured.

Indexed as

CharadriiformesAnimalsArctic RegionsDemographyEcosystemIce Cover

Identifiers

PMID35246618
PMCPMC9076905

What OpenQuestion 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 OpenQuestion graph.