Evidence map›Paper›PMID 25318347›Full record

ArticleBMC evolutionary biology2014

Morphological differentiation despite gene flow in an endangered grasshopper.

Eddy J Dowle, Mary Morgan-Richards, Steven A Trewick

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Standard metabolic rate variation among New Zealand Orthoptera.Current research in insect science · 2024
    Article
  5. Article
  6. Article
  7. 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

3 authors.

Eddy J DowleEcology Group, IAE, Massey University, Private Bag 11222, Palmerston North, 4442, New Zealand. Eddy.Dowle@cawthron.org.nz.
Mary Morgan-RichardsEcology Group, IAE, Massey University, Private Bag 11222, Palmerston North, 4442, New Zealand. M.Morgan-Richards@massey.ac.nz.
Steven A TrewickEcology Group, IAE, Massey University, Private Bag 11222, Palmerston North, 4442, New Zealand. S.Trewick@massey.ac.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGene flow is traditionally considered a limitation to speciation because selection is required to counter the homogenising effect of allele exchange. Here we report on two sympatric short-horned grasshoppers species in the South Island of New Zealand; one (Sigaus australis) widespread and the other (Sigaus childi) a narrow endemic.

resultsOf the 79 putatively neutral markers (mtDNA, microsatellite loci, ITS sequences and RAD-seq SNPs) all but one marker we examined showed extensive allele sharing, and similar or identical allele frequencies in the two species where they co-occur. We found no genetic evidence of deviation from random mating in the region of sympatry. However, analysis of morphological and geometric traits revealed no evidence of morphological introgression.

conclusionsBased on phenotype the two species are clearly distinct, but their genotypes thus far reveal no divergence. The best explanation for this is that some loci associated with the distinguishing morphological characters are under strong selection, but exchange of neutral loci is occurring freely between the two species. Although it is easier to define species as requiring a barrier between them, a dynamic model that accommodates gene flow is a biologically more reasonable explanation for these grasshoppers.

Indexed as

Gene FlowAnimalsDNA, MitochondrialEndangered SpeciesGene FrequencyGrasshoppersMicrosatellite RepeatsNew ZealandSympatryDNA, Mitochondrial

Identifiers

PMID25318347
PMCPMC4219001

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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.