Evidence map›Paper›PMID 29149838›Full record

ArticleBMC genetics2017

Genetic variation in populations of the earthworm, Lumbricus rubellus, across contaminated mine sites.

Craig Anderson, Luis Cunha, Pierfrancesco Sechi, Peter Kille, David Spurgeon

Abstract read
In one paragraph

Article in BMC genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Craig AndersonBiological and Environmental Sciences, School of Natural Sciences, University of Stirling, Stirling, FK9 4LA, UK. Craig.anderson@stir.ac.uk.ORCID http://orcid.org/0000-0002-2832-9313
Luis CunhaSchool of Biosciences, University of Cardiff, Main Building, Museum Avenue, Cardiff, CF10 3AT, UK.
Pierfrancesco SechiSchool of Biosciences, University of Cardiff, Main Building, Museum Avenue, Cardiff, CF10 3AT, UK.
Peter KilleSchool of Biosciences, University of Cardiff, Main Building, Museum Avenue, Cardiff, CF10 3AT, UK.
David SpurgeonCentre for Ecology and Hydrology, Maclean Building, Benson Lane, Wallingford, OX10 8BB, UK.

Funding

Natural Environment Research Council NE/G523571
6 · The paper itself

Abstract

backgroundPopulations of the earthworm, Lumbricus rubellus, are commonly found across highly contaminated former mine sites and are considered to have under-gone selection for mitigating metal toxicity. Comparison of adapted populations with those found on less contaminated soils can provide insights into ecological processes that demonstrate the long-term effects of soil contamination. Contemporary sequencing methods allow for portrayal of demographic inferences and highlight genetic variation indicative of selection at specific genes. Furthermore, the occurrence of L. rubellus lineages across the UK allows for inferences of mechanisms associated with drivers of speciation and local adaptation.

resultsUsing RADseq, we were able to define population structure between the two lineages through the use of draft genomes for each, demonstrating an absence of admixture between lineages and that populations over extensive geographic distances form discrete populations. Between the two British lineages, we were able to provide evidence for selection near to genes associated with epigenetic and morphological functions, as well as near a gene encoding a pheromone. Earthworms inhabiting highly contaminated soils bare close genomic resemblance to those from proximal control soils. We were able to define a number of SNPs that largely segregate populations and are indicative of genes that are likely under selection for managing metal toxicity. This includes calcium and phosphate-handling mechanisms linked to lead and arsenic contaminants, respectively, while we also observed evidence for glutathione-related mechanisms, including metallothionein, across multiple populations. Population genomic end points demonstrate no consistent reduction in nucleotide diversity, or increase in inbreeding coefficient, relative to history of exposure.

conclusionsThough we can clearly define lineage membership using genomic markers, as well as population structure between geographic localities, it is difficult to resolve markers that segregate entirely between populations in response to soil metal concentrations. This may represent a highly variable series of traits in response to the heterogenous nature of the soil environment, but ultimately demonstrates the maintenance of lineage-specific genetic variation among local populations. L. rubellus appears to provide an exemplary system for exploring drivers for speciation, with a continuum of lineages coexisting across continental Europe, while distinct lineages exist in isolation throughout the UK.

Indexed as

MiningAnimalsMetals, HeavyOligochaetaPolymorphism, Single NucleotideSoilSoil PollutantsUnited KingdomMetals, HeavySoilSoil PollutantsAdaptationArsenicEarthwormsEcotoxicologyLeadPopulation genomicsRADseq

Identifiers

PMID29149838
PMCPMC5693503

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.