Evidence map›Paper›PMID 39256678›Full record

ArticleBMC genomics2024

Genomic diversity and population structure of Carniolan honey bee in its native habitat.

Boris Lukic, Nikola Raguz, Marin Kovačić, Ino Curik, Jana Obšteter, Janez Prešern, Jernej Bubnič, Ras Lužaić, Ivan Pihler, Goran Mirjanić and 2 more

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Conservation ofInsects · 2025
    Review
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

12 authors.

Boris LukicFaculty of Agrobiotechnical Sciences Osijek, J.J. Strossmayer University of Osijek, Vladimira Preloga 1, Osijek, 31000, Croatia.
Nikola RaguzFaculty of Agrobiotechnical Sciences Osijek, J.J. Strossmayer University of Osijek, Vladimira Preloga 1, Osijek, 31000, Croatia. nikola.raguz@fazos.hr.
Marin KovačićFaculty of Agrobiotechnical Sciences Osijek, J.J. Strossmayer University of Osijek, Vladimira Preloga 1, Osijek, 31000, Croatia. marin.kovacic@fazos.hr.
Ino CurikDepartment of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska cesta 25, Zagreb, 10000, Croatia.
Jana ObšteterDepartment of Animal Science, The Agricultural Institute of Slovenia, Hacquetova ulica 17, Ljubljana, 1000, Slovenia.
Janez PrešernDepartment of Animal Science, The Agricultural Institute of Slovenia, Hacquetova ulica 17, Ljubljana, 1000, Slovenia.
Jernej BubničDepartment of Animal Science, The Agricultural Institute of Slovenia, Hacquetova ulica 17, Ljubljana, 1000, Slovenia.
Ras LužaićFaculty of Agrobiotechnical Sciences Osijek, J.J. Strossmayer University of Osijek, Vladimira Preloga 1, Osijek, 31000, Croatia.
Ivan PihlerDepartment of Animal Science, Faculty of Agriculture, University of Novi Sad, Trg Dositeja Obradovića 8, Novi Sad, 21000, Serbia.
Goran MirjanićFaculty of Agriculture, University of Banja Luka, 1A Vojvode Petra Bojovića Blvd, Banja Luka, 78 000, Bosnia and Herzegovina.
Marco PietropaoliL'Istituto Zooprofilattico Sperimentale del Lazio e Toscana, Via Appia Nuova 1411, Roma (Capannelle), 00178, Italy.
Zlatko PuškadijaFaculty of Agrobiotechnical Sciences Osijek, J.J. Strossmayer University of Osijek, Vladimira Preloga 1, Osijek, 31000, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch into the genetic diversity of honey bee (Apis mellifera L.) populations has become increasingly significant in recent decades, primarily due to population declines attributed to human activities and climate change. As a species of great importance, breeding programs that leverage understanding of genomic diversity could offer solutions to mitigate these challenges. The objective of this study was to examine the genomic diversity and population structure of Carniolan honey bees (Apis mellifera carnica) using the Illumina SNP chip on a large honey bee sample collected from Central and South-Eastern European countries. The study also aims to offer recommendations for future breeding programs.

resultsOur analysis involved Discriminant Analysis of Principal Components (DAPC), heterozygosity, admixture analysis, fixation indices (F

conclusionsThis study provides important insights into the genetic composition, differentiation, and relationships among Carniolan honey bee populations in Central and South-Eastern European countries. The findings are crucial for conservation efforts, breeding programs, and sustainable beekeeping practices. They emphasise the importance of considering genetic factors and population structure in the breeding and management of honey bees. By understanding these genetic relationships, we can develop strategies to preserve genetic diversity, improve breeding outcomes, and ensure the resilience of honey bee populations in the face of environmental changes and challenges. This knowledge can also inform policy makers and stakeholders on best practices to maintain healthy bee populations, which are vital for ecosystem services and agricultural productivity.

Indexed as

EcosystemGene FlowGenetic VariationAnimalsBeesGenetics, PopulationGenome, InsectGenomicsPolymorphism, Single NucleotideApis mellifera carnicaBeekeepingConservationGenomic diversityPopulation structureSingle nucleotide polymorphism (SNP)

Identifiers

PMID39256678
PMCPMC11385169

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Registered trials

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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.