Evidence map›Paper›PMID 31804557›Full record

ArticleScientific reports2019

Low genotypic diversity and long-term ecological decline in a spatially structured seagrass population.

Nahaa M Alotaibi, Emma J Kenyon, Kevan J Cook, Luca Börger, James C Bull

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 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

5 authors.

Nahaa M AlotaibiDepartment of Biosciences, Swansea University, Swansea, Wales, United Kingdom.
Emma J KenyonSchool of Life Sciences, University of Sussex, Brighton, England, UK.
Kevan J CookNatural England, Truro, England, UK.
Luca BörgerDepartment of Biosciences, Swansea University, Swansea, Wales, United Kingdom.ORCID http://orcid.org/0000-0001-8763-5997
James C BullDepartment of Biosciences, Swansea University, Swansea, Wales, United Kingdom. j.c.bull@swansea.ac.uk.ORCID http://orcid.org/0000-0002-4373-6830

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In isolated or declining populations, viability may be compromised further by loss of genetic diversity. Therefore, it is important to understand the relationship between long-term ecological trajectories and population genetic structure. However, opportunities to combine these types of data are rare, especially in natural systems. Using an existing panel of 15 microsatellites, we estimated allelic diversity in seagrass, Zostera marina, at five sites around the Isles of Scilly Special Area of Conservation, UK, in 2010 and compared this to 23 years of annual ecological monitoring (1996-2018). We found low diversity and long-term declines in abundance in this relatively pristine but isolated location. Inclusion of the snapshot of genotypic, but less-so genetic, diversity improved prediction of abundance trajectories; however, this was spatial scale-dependent. Selection of the appropriate level of genetic organization and spatial scale for monitoring is, therefore, important to identify drivers of eco-evolutionary dynamics. This has implications for the use of population genetic information in conservation, management, and spatial planning.

Indexed as

Genetics, PopulationGenetic VariationGenotypeAllelesAquatic OrganismsBiological EvolutionEcosystemIslandsMicrosatellite RepeatsUnited KingdomZosteraceae

Identifiers

PMID31804557
PMCPMC6895181

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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.