Evidence map›Paper›PMID 32760529›Full record

ArticleEcology and evolution2020

Creating outbred and inbred populations in haplodiploids to measure adaptive responses in the laboratory.

Diogo P Godinho, Miguel A Cruz, Maud Charlery de la Masselière, Jéssica Teodoro-Paulo, Cátia Eira, Inês Fragata, Leonor R Rodrigues, Flore Zélé, Sara Magalhães

Abstract read
In one paragraph

Article in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  4. Coinfection accelerates transmission to new hosts despite no effects on virulence and parasite growth.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
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  7. Review
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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

9 authors.

Diogo P GodinhoCentre for Ecology, Evolution and Environmental Changes - cE3c Faculdade de Ciências da Universidade de Lisboa Lisboa Portugal.ORCID https://orcid.org/0000-0002-6890-5573
Miguel A CruzCentre for Ecology, Evolution and Environmental Changes - cE3c Faculdade de Ciências da Universidade de Lisboa Lisboa Portugal.ORCID https://orcid.org/0000-0003-2877-4086
Maud Charlery de la MasselièreCentre for Ecology, Evolution and Environmental Changes - cE3c Faculdade de Ciências da Universidade de Lisboa Lisboa Portugal.ORCID https://orcid.org/0000-0002-2686-0899
Jéssica Teodoro-PauloCentre for Ecology, Evolution and Environmental Changes - cE3c Faculdade de Ciências da Universidade de Lisboa Lisboa Portugal.ORCID https://orcid.org/0000-0003-2933-9940
Cátia EiraCentre for Ecology, Evolution and Environmental Changes - cE3c Faculdade de Ciências da Universidade de Lisboa Lisboa Portugal.
Inês FragataCentre for Ecology, Evolution and Environmental Changes - cE3c Faculdade de Ciências da Universidade de Lisboa Lisboa Portugal.ORCID https://orcid.org/0000-0001-6865-1510
Leonor R RodriguesCentre for Ecology, Evolution and Environmental Changes - cE3c Faculdade de Ciências da Universidade de Lisboa Lisboa Portugal.ORCID https://orcid.org/0000-0001-7871-1732
Flore ZéléCentre for Ecology, Evolution and Environmental Changes - cE3c Faculdade de Ciências da Universidade de Lisboa Lisboa Portugal.ORCID https://orcid.org/0000-0003-2954-5488
Sara MagalhãesCentre for Ecology, Evolution and Environmental Changes - cE3c Faculdade de Ciências da Universidade de Lisboa Lisboa Portugal.ORCID https://orcid.org/0000-0002-8609-7768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laboratory studies are often criticized for not being representative of processes occurring in natural populations. One reason for this is the fact that laboratory populations generally do not capture enough of the genetic variation of natural populations. This can be mitigated by mixing the genetic background of several field populations when creating laboratory populations. From these outbred populations, it is possible to generate inbred lines, thereby freezing and partitioning part of their variability, allowing each genotype to be characterized independently. Many studies addressing adaptation of organisms to their environment, such as those involving quantitative genetics or experimental evolution, rely on inbred or outbred populations, but the methodology underlying the generation of such biological resources is usually not explicitly documented. Here, we developed different procedures to circumvent common pitfalls of laboratory studies, and illustrate their application using two haplodiploid species, the spider mites

Indexed as

biological resourcesexperimental evolutionlaboratory studiesquantitative geneticsspider mites

Identifiers

PMID32760529
PMCPMC7391545

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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.