Evidence map›Paper›PMID 28717144›Full record

ArticleScientific reports2017

RADseq provides evidence for parallel ecotypic divergence in the autotetraploid Cochlearia officinalis in Northern Norway.

Marie K Brandrud, Ovidiu Paun, Maria T Lorenzo, Inger Nordal, Anne K Brysting

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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.

Marie K BrandrudCentre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, 0316, Oslo, Norway. marie.kristine.brandrud@univie.ac.at.
Ovidiu PaunDepartment of Botany and Biodiversity Research, University of Vienna, 1030, Vienna, Austria.ORCID 0000-0002-8295-4937
Maria T LorenzoDepartment of Botany and Biodiversity Research, University of Vienna, 1030, Vienna, Austria.
Inger NordalDepartment of Biosciences, University of Oslo, 0316, Oslo, Norway.
Anne K BrystingCentre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, 0316, Oslo, Norway.

Funding

Austrian Science Fund FWF Y 661
6 · The paper itself

Abstract

Speciation encompasses a continuum over time from freely interbreeding populations to reproductively isolated species. Along this process, ecotypes - the result of local adaptation - may be on the road to new species. We investigated whether three autotetraploid Cochlearia officinalis ecotypes, adapted to different habitats (beach, estuary, spring), are genetically differentiated and result from parallel ecotypic divergence in two distinct geographical regions. We obtained genetic data from thousands of single nucleotide polymorphisms (SNPs) from restriction-site associated DNA sequencing (RADseq) and from six microsatellite markers for 12 populations to assess genetic divergence at ecotypic, geographic and population level. The genetic patterns support differentiation among ecotypes as suggested by morphology and ecology. The data fit a scenario where the ancestral beach ecotype has recurrently and polytopically given rise to the estuary and spring ecotypes. Several ecologically-relevant loci with consistent non-random segregating patterns are identified across the recurrent origins, in particular around genes related to salt stress. Despite being ecologically distinct, the Cochlearia ecotypes still represent an early stage in the process of speciation, as reproductive isolation has not (yet) developed. A sequenced annotated genome is needed to specifically target candidate genes underlying local adaptation.

Indexed as

EcotypePolymorphism, Single NucleotideAdaptation, BiologicalBrassicaceaeEcosystemEvolution, MolecularGenetic SpeciationNorwaySelection, GeneticSequence Analysis, DNA

Identifiers

PMID28717144
PMCPMC5514025

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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.