Evidence map›Paper›PMID 35205227›Full record

ArticleGenes2022

Population Structure and Diversity in European Honey Bees (

Chao Chen, Melanie Parejo, Jamal Momeni, Jorge Langa, Rasmus O Nielsen, Wei Shi, Smartbees Wp Diversity Contributors, Rikke Vingborg, Per Kryger, Maria Bouga and 2 more

Abstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  8. Sampling strategies for genotyping common bean (Frontiers in plant science · 2024
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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.

Chao ChenInstitute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China.
Melanie ParejoDepartment of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain.ORCID 0000-0002-7248-0424
Jamal MomeniEurofins Genomics, 8200 Aarhus, Denmark.
Jorge LangaDepartment of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain.
Rasmus O NielsenEurofins Genomics, 8200 Aarhus, Denmark.ORCID 0000-0002-9837-2966
Wei ShiInstitute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China.
Smartbees Wp Diversity Contributors
Rikke VingborgEurofins Genomics, 8200 Aarhus, Denmark.
Per KrygerDepartment of Agroecology, Aarhus University, 4200 Slagelse, Denmark.ORCID 0000-0001-5306-3230
Maria BougaLab of Agricultural Zoology and Entomology, Agricultural University of Athens, 11855 Athens, Greece.
Andone EstonbaDepartment of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain.
Marina MeixnerLLH Bee Institute Kirchhain, 35274 Kirchhain, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole-genome sequencing has become routine for population genetic studies. Sequencing of individuals provides maximal data but is rather expensive and fewer samples can be studied. In contrast, sequencing a pool of samples (pool-seq) can provide sufficient data, while presenting less of an economic challenge. Few studies have compared the two approaches to infer population genetic structure and diversity in real datasets. Here, we apply individual sequencing (ind-seq) and pool-seq to the study of Western honey bees (

methodsWe collected honey bee workers that belonged to 14 populations, including 13 subspecies, totaling 1347 colonies, who were individually (139 individuals) and pool-sequenced (14 pools). We compared allele frequencies, genetic diversity estimates, and population structure as inferred by the two approaches.

resultsPool-seq and ind-seq revealed near identical population structure and genetic diversities, albeit at different costs. While pool-seq provides genome-wide polymorphism data at considerably lower costs, ind-seq can provide additional information, including the identification of population substructures, hybridization, or individual outliers.

conclusionsIf costs are not the limiting factor, we recommend using ind-seq, as population genetic structure can be inferred similarly well, with the advantage gained from individual genetic information. Not least, it also significantly reduces the effort required for the collection of numerous samples and their further processing in the laboratory.

Indexed as

Hybridization, GeneticPolymorphism, Single NucleotideAnimalsBeesWhole Genome SequencingApis melliferadiversitypool-sequencingpopulation structurewhole-genome sequencing

Identifiers

PMID35205227
PMCPMC8872436

What OpenQuestion holds

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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.