Evidence map›Paper›PMID 35510983›Full record

ArticleGenome biology and evolution2022

Individual-based Modeling of Genome Evolution in Haplodiploid Organisms.

Rodrigo Pracana, Richard Burns, Robert L Hammond, Benjamin C Haller, Yannick Wurm

Abstract read
In one paragraph

Article in Genome biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Rodrigo PracanaOrganismal Biology Department, Queen Mary University of London, London, United Kingdom.ORCID 0000-0003-2492-4067
Richard BurnsOrganismal Biology Department, Queen Mary University of London, London, United Kingdom.
Robert L HammondDepartment of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom.
Benjamin C HallerDepartment of Computational Biology, Cornell University, Ithaca, NY, USA.ORCID 0000-0003-1874-8327
Yannick WurmOrganismal Biology Department, Queen Mary University of London, London, United Kingdom.ORCID 0000-0002-3140-2809

Funding

Biotechnology and Biological Sciences Research Council BB/T015683/1
6 · The paper itself

Abstract

Ants, bees, wasps, bark beetles, and other species have haploid males and diploid females. Although such haplodiploid species play key ecological roles and are threatened by environmental changes, no general framework exists for simulating their genetic evolution. Here, we use the SLiM simulation environment to build a novel model for individual-based forward simulation of genetic evolution in haplodiploids. We compare the fates of adaptive and deleterious mutations and find that selection on recessive mutations is more effective in haplodiploids than in diploids. Our open-source model will foster an understanding of the evolution of sociality and how ecologically important haplodiploid species may respond to changing environments.

Indexed as

DiploidyWaspsAnimalsBeesBiological EvolutionEvolution, MolecularFemaleGenomeHaploidyMaleantsarrhenotokybeesfate of mutationshaploid malesHymenopterainterpreting genome scansselection efficacy

Identifiers

PMID35510983
PMCPMC9086950

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.