Evidence map›Paper›PMID 21915148›Full record

ArticleHeredity2012

Population genetic structure of sexual and parthenogenetic damselflies inferred from mitochondrial and nuclear markers.

M O Lorenzo-Carballa, H Hadrys, A Cordero-Rivera, J A Andrés

Open access · bronzeAbstract read
In one paragraph

Article in Heredity, 2012. 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
0.4field-weighted citation impact, top 32% of its field
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

5 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  4. Review
  5. 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

4 authors at 3 institutions in 4 countries.

M O Lorenzo-CarballaEvolutionary Ecology Group, Department of Ecology and Animal Biology, Universidade de Vigo, EUET Forestal, Pontevedra, Spain. olalla.lorenzo@uvigo.es
H Hadrys
A Cordero-Rivera
J A Andrés
Universidade de Vigo · ESUniversity of Saskatchewan · CAYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been postulated that obligate asexual lineages may persist in the long term if they escape from negative interactions with either sexual lineages or biological enemies; and thus, parthenogenetic populations will be more likely to occur in places that are difficult for sexuals to colonize, or those in which biological interactions are rare, such as islands or island-like habitats. Ischnura hastata is the only known example of natural parthenogenesis within the insect order Odonata, and it represents also a typical example of geographic parthenogenesis, as sexual populations are widely distributed in North America, whereas parthenogenetic populations of this species have only been found at the Azores archipelago. In order to gain insight in the origin and distribution of parthenogenetic I. hastata lineages, we have used microsatellites, mitochondrial and nuclear DNA sequence data, to examine the population genetic structure of this species over a wide geographic area. Our results suggest that sexual populations of I. hastata in North America conform to a large subdivided population that has gone through a recent spatial expansion. A recent single long distance dispersal event, followed by a demographic expansion, is the most parsimonious hypothesis explaining the origin of the parthenogenetic population of this species in the Azores islands.

Indexed as

DemographyPhylogenyAnimalsAzoresBase SequenceBayes TheoremDNA, MitochondrialGenetic MarkersGenetics, PopulationHaplotypesInsectaLikelihood FunctionsMicrosatellite RepeatsModels, GeneticMolecular Sequence DataNorth AmericaDNA, MitochondrialGenetic Markers

Identifiers

PMID21915148
PMCPMC3313047
OpenAlexW2005403566

What OpenQuestion holds

Textmetadata
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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.