Evidence map›Paper›PMID 41250883›Full record

ArticleGenome biology and evolution2025

Signals of Ancestry-Specific Selection in Gentle Africanized Honey Bees.

Maximilian Genetti, Russell Corbett-Detig

Erratum issuedAbstract read
In one paragraph

Article in Genome biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Maximilian GenettiGenomics Institute, University of California, Santa Cruz, CA 95064, USA.ORCID 0000-0002-4957-7949
Russell Corbett-DetigGenomics Institute, University of California, Santa Cruz, CA 95064, USA.ORCID 0000-0001-6535-2478

Funding

Origins, Functional, and Evolutionary Consequences of Genomic VariationR35GM128932 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Russell Corbett-Detig · 2018 to 2026
$3.2M
NIGMS NIH HHS R35 GM128932NIH HHS R35GM128932
6 · The paper itself

Abstract

Understanding the genetic basis of adaptive responses to environmental and human mediated pressures is a central concern in evolutionary biology. Population admixture, a process wherein genetically differentiated populations interbreed, is increasingly recognized as a source of genetic material driving rapid evolutionary responses. Honey bees from Puerto Rico are a phenotypically distinct population of Africanized honey bees with demonstrably lower levels of aggression than other Africanized populations. The Puerto Rican honey bee population represents a dynamic system that has experienced both environmental and human-mediated selective pressures over a short period of time marked by a significant influx of genetic variation from mainland Africanized honey bees, which has notably influenced the genetic makeup of the local populations. In this study we detail the current population structure of the Puerto Rican honey bees, how this differs from a mainland population, and regions of the genome that have signals of ancestry-specific selection. To distinguish loci undergoing ancestry-specific selection, we use tools that co-estimate local ancestry and the strength of selection at loci across the genome. We further detail the genes and pathways highlighted through gene ontology (GO) enrichment analysis. Overall, our results suggest that the local pressures on Puerto Rico honey bee behavior may have induced significant changes favoring alleles linked to different ancestries at loci and pathways involved in neuronal development, behavior, and mating among others. Our analysis demonstrates that approaches that explicitly model selection on local ancestry may be valuable tools for understanding evolution in admixture zones.

Indexed as

Selection, GeneticAnimalsBeesGenetic VariationGenome, InsectPuerto Ricoadaptive introgressionadmixtureaggressionhybridizationpopulation genomicsselection

Identifiers

PMID41250883
PMCPMC12673328

What OpenQuestion holds

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LicenceCC BY
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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.