Evidence map›Paper›PMID 25535558›Full record

ArticleEcology and evolution2014

Demographic histories and genetic diversities of Fennoscandian marine and landlocked ringed seal subspecies.

Tommi Nyman, Mia Valtonen, Jouni Aspi, Minna Ruokonen, Mervi Kunnasranta, Jukka U Palo

Abstract read
In one paragraph

Article in Ecology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Deep origins, distinct adaptations, and species-level status indicated for a glacial relict seal.Proceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Tommi NymanDepartment of Biology, University of Eastern Finland PO Box 111, Joensuu, FI-80101, Finland ; Institute for Systematic Botany, University of Zurich, Zollikerstrasse 107 Zurich, CH-8008, Switzerland.
Mia ValtonenDepartment of Biology, University of Eastern Finland PO Box 111, Joensuu, FI-80101, Finland.
Jouni AspiDepartment of Biology, University of Oulu PO Box 3000, Oulu, FI-90014, Finland.
Minna RuokonenDepartment of Biology, University of Oulu PO Box 3000, Oulu, FI-90014, Finland.
Mervi KunnasrantaDepartment of Biology, University of Eastern Finland PO Box 111, Joensuu, FI-80101, Finland.
Jukka U PaloLaboratory of Forensic Biology, Hjelt Institute, University of Helsinki PO Box 40, Helsinki, FI-00014, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Island populations are on average smaller, genetically less diverse, and at a higher risk to go extinct than mainland populations. Low genetic diversity may elevate extinction probability, but the genetic component of the risk can be affected by the mode of diversity loss, which, in turn, is connected to the demographic history of the population. Here, we examined the history of genetic erosion in three Fennoscandian ringed seal subspecies, of which one inhabits the Baltic Sea 'mainland' and two the 'aquatic islands' composed of Lake Saimaa in Finland and Lake Ladoga in Russia. Both lakes were colonized by marine seals after their formation c. 9500 years ago, but Lake Ladoga is larger and more contiguous than Lake Saimaa. All three populations suffered dramatic declines during the 20th century, but the bottleneck was particularly severe in Lake Saimaa. Data from 17 microsatellite loci and mitochondrial control-region sequences show that Saimaa ringed seals have lost most of the genetic diversity present in their Baltic ancestors, while the Ladoga population has experienced only minor reductions. Using Approximate Bayesian computing analyses, we show that the genetic uniformity of the Saimaa subspecies derives from an extended founder event and subsequent slow erosion, rather than from the recent bottleneck. This suggests that the population has persisted for nearly 10,000 years despite having low genetic variation. The relatively high diversity of the Ladoga population appears to result from a high number of initial colonizers and a high post-colonization population size, but possibly also by a shorter isolation period and/or occasional gene flow from the Baltic Sea.

Indexed as

Approximate Bayesian computingbottleneckdemographic historyfounder eventgenetic diversityisland populations

Identifiers

PMID25535558
PMCPMC4228616

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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.