Evidence map›Paper›PMID 30068937›Full record

ArticleThe ISME journal2018

The anchoring effect-long-term dormancy and genetic population structure.

Lisa Sundqvist, Anna Godhe, Per R Jonsson, Josefin Sefbom

Abstract read
In one paragraph

Article in The ISME journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

4 authors.

Lisa SundqvistDepartment of Marine Sciences, University of Gothenburg, Box 461, Göteborg, SE, 40530, Sweden.
Anna GodheDepartment of Marine Sciences, University of Gothenburg, Box 461, Göteborg, SE, 40530, Sweden.
Per R JonssonDepartment of Marine Sciences - Tjärnö, University of Gothenburg, Strömstad, SE, 45296, Sweden.
Josefin SefbomDepartment of Marine Sciences, University of Gothenburg, Box 461, Göteborg, SE, 40530, Sweden. josefin.sefbom@marine.gu.se.ORCID http://orcid.org/0000-0002-4984-9916

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the genetic structure of populations is key to revealing past and present demographic and evolutionary processes in a species. In the past decade high genetic differentiation has been observed in many microbial species challenging the previous view of cosmopolitan distribution. Populations have displayed high genetic differentiation, even at small spatial scales, despite apparent high dispersal. Numerous species of microalgae have a life-history strategy that includes a long-term resting stage, which can accumulate in sediments and serve as refuge during adverse conditions. It is presently unclear how these seed banks affect the genetic structure of populations in aquatic environments. Here we provide a conceptual framework, using a simple model, to show that long-term resting stages have an anchoring effect on populations leading to increased genetic diversity and population differentiation in the presence of gene flow. The outcome that species with resting stages have a higher degree of genetic differentiation compared to species without, is supported by empirical data obtained from a systematic literature review. With this work we propose that seed banks in aquatic microalgae play an important role in the contradicting patterns of gene flow, and ultimately the adaptive potential and population dynamics in species with long-term resting stages.

Indexed as

Gene FlowGenetics, PopulationModels, BiologicalBiological EvolutionComputer SimulationGenetic DriftMicroalgaePlant DormancyPopulation DynamicsReproductionSeed BankSeeds

Identifiers

PMID30068937
PMCPMC6246564

What OpenQuestion holds

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Registered trials

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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.