Evidence map›Paper›PMID 41387163›Full record

ArticleMolecular ecology2025

Genome Variation in Three Anthophora Bee Species Reflects Divergent Demographic Histories.

Demetris Taliadoros, André E R Soares, Guilherme Dias, Ignas Bunikis, Martin Pippel, Anna Olsson, Mai-Britt Mosbech, Julia Heintz, Nina Lager, Anna-Sofi Strand and 6 more

Abstract read
In one paragraph

Article in Molecular ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Demetris TaliadorosDepartment of Medical Biochemistry and Microbiology, SciLifeLab, Uppsala University, Uppsala, Sweden.
André E R SoaresDepartment of Medical Biochemistry and Microbiology, SciLifeLab, Uppsala University, Uppsala, Sweden.
Guilherme DiasDepartment of Cell and Molecular Biology, SciLifeLab, Uppsala University, Uppsala, Sweden.
Ignas BunikisDepartment of Immunology, Genetics and Pathology, SciLifeLab, Uppsala University, Uppsala, Sweden.
Martin PippelDepartment of Cell and Molecular Biology, SciLifeLab, Uppsala University, Uppsala, Sweden.
Anna OlssonDepartment of Medical Biochemistry and Microbiology, SciLifeLab, Uppsala University, Uppsala, Sweden.
Mai-Britt MosbechDepartment of Immunology, Genetics and Pathology, SciLifeLab, Uppsala University, Uppsala, Sweden.
Julia HeintzDepartment of Immunology, Genetics and Pathology, SciLifeLab, Uppsala University, Uppsala, Sweden.
Nina LagerDepartment of Immunology, Genetics and Pathology, SciLifeLab, Uppsala University, Uppsala, Sweden.
Anna-Sofi StrandDepartment of Immunology, Genetics and Pathology, SciLifeLab, Uppsala University, Uppsala, Sweden.
Mats PetterssonDepartment of Medical Biochemistry and Microbiology, SciLifeLab, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-7372-9076
Olga Vinnere PetterssonDepartment of Immunology, Genetics and Pathology, SciLifeLab, Uppsala University, Uppsala, Sweden.
Henrik LantzDepartment of Medical Biochemistry and Microbiology, SciLifeLab, Uppsala University, Uppsala, Sweden.
Björn CederbergSwedish Species Information Centre, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Kerstin Lindblad-TohDepartment of Medical Biochemistry and Microbiology, SciLifeLab, Uppsala University, Uppsala, Sweden.
Matthew T WebsterDepartment of Medical Biochemistry and Microbiology, SciLifeLab, Uppsala University, Uppsala, Sweden.ORCID 0000-0003-1141-2863

Funding

Science for Life LaboratoryVetenskapsrådet 2020-06174_VR
6 · The paper itself

Abstract

Population genomics can reveal trends and drivers of biodiversity loss, but it is still unclear how best to use measures of genome variation to understand population vulnerability in insects. Here we study genome variation in three species of Anthophora bees that show contrasting population trends in northern Europe. Two species, Anthophora plagiata and Anthophora retusa , have experienced declines and recoveries of different magnitudes in the last 50 years, whereas a third species, Anthophora quadrimaculata , has relative population stability. We generate highly contiguous genome assemblies and use them to study genome variation in 136 samples of these species collected throughout Sweden. We find exceedingly low genetic variation in A. plagiata , which has experienced a severe recent bottleneck, but high genetic variation in A. retusa , despite a similar recent population trajectory. Fragmented populations of the threatened species A. plagiata appear isolated from each other, but in A. retusa, there is a lack of deep population structure among geographically separated subpopulations. We infer population size in the distant past using MSMC2 and recent past using GONE. These methods are remarkably concordant and indicate ancient fluctuations in population size dating back to the Pleistocene, with moderate expansions in the past century in all three species. These results are comparable to some other studies of endangered insects, which have experienced population declines that predate the modern era. We detect long blocks of identity-by-state in A. plagiata , indicative of severe recent inbreeding. Translocations between isolated populations of this species could have a positive effect on their resilience.

Indexed as

Genetics, PopulationGenetic VariationGenome, InsectAnimalsBeesPopulation DensitySwedenconservation geneticsempiricalgenomics/proteomicsinsectspopulation dynamicspopulation genetics

Identifiers

PMID41387163
PMCPMC12717994

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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.