Evidence map›Paper›PMID 27687629›Full record

ArticleGenome biology2016

Fitness consequences of polymorphic inversions in the zebra finch genome.

Ulrich Knief, Georg Hemmrich-Stanisak, Michael Wittig, Andre Franke, Simon C Griffith, Bart Kempenaers, Wolfgang Forstmeier

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Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

43 citing papers in PubMed.

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  12. The complete genome of a songbird.bioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Ulrich KniefDepartment of Behavioural Ecology and Evolutionary Genetics, Max Planck Institute for Ornithology, 82319, Seewiesen, Germany. knief@biologie.uni-muenchen.de.
Georg Hemmrich-StanisakInstitute of Clinical Molecular Biology, Christian-Albrechts-University, 24105, Kiel, Germany.
Michael WittigInstitute of Clinical Molecular Biology, Christian-Albrechts-University, 24105, Kiel, Germany.
Andre FrankeInstitute of Clinical Molecular Biology, Christian-Albrechts-University, 24105, Kiel, Germany.
Simon C GriffithDepartment of Biological Sciences, Macquarie University, Sydney, NSW, 2109, Australia.
Bart KempenaersDepartment of Behavioural Ecology and Evolutionary Genetics, Max Planck Institute for Ornithology, 82319, Seewiesen, Germany.
Wolfgang ForstmeierDepartment of Behavioural Ecology and Evolutionary Genetics, Max Planck Institute for Ornithology, 82319, Seewiesen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInversion polymorphisms constitute an evolutionary puzzle: they should increase embryo mortality in heterokaryotypic individuals but still they are widespread in some taxa. Some insect species have evolved mechanisms to reduce the cost of embryo mortality but humans have not. In birds, a detailed analysis is missing although intraspecific inversion polymorphisms are regarded as common. In Australian zebra finches (Taeniopygia guttata), two polymorphic inversions are known cytogenetically and we set out to detect these two and potentially additional inversions using genomic tools and study their effects on embryo mortality and other fitness-related and morphological traits.

resultsUsing whole-genome SNP data, we screened 948 wild zebra finches for polymorphic inversions and describe four large (12-63 Mb) intraspecific inversion polymorphisms with allele frequencies close to 50 %. Using additional data from 5229 birds and 9764 eggs from wild and three captive zebra finch populations, we show that only the largest inversions increase embryo mortality in heterokaryotypic males, with surprisingly small effect sizes. We test for a heterozygote advantage on other fitness components but find no evidence for heterosis for any of the inversions. Yet, we find strong additive effects on several morphological traits.

conclusionsThe mechanism that has carried the derived inversion haplotypes to such high allele frequencies remains elusive. It appears that selection has effectively minimized the costs associated with inversions in zebra finches. The highly skewed distribution of recombination events towards the chromosome ends in zebra finches and other estrildid species may function to minimize crossovers in the inverted regions.

Indexed as

Embryo mortalityHeterosisInversion polymorphismMiscarriageOverdominanceStructural variant

Identifiers

PMID27687629
PMCPMC5043542

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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.