Evidence map›Paper›PMID 33032523›Full record

ArticleBMC genomics2020

Genome-wide patterns of differentiation within and among U.S. commercial honey bee stocks.

Perot Saelao, Michael Simone-Finstrom, Arian Avalos, Lelania Bilodeau, Robert Danka, Lilia de Guzman, Frank Rinkevich, Philip Tokarz

Abstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

8 authors.

Perot SaelaoUSDA-ARS, Honey Bee Breeding, Genetics and Physiology Laboratory, Baton Rouge, LA, 70820, USA.
Michael Simone-FinstromUSDA-ARS, Honey Bee Breeding, Genetics and Physiology Laboratory, Baton Rouge, LA, 70820, USA. michael.simonefinstrom@usda.gov.ORCID http://orcid.org/0000-0003-2938-9788
Arian AvalosUSDA-ARS, Honey Bee Breeding, Genetics and Physiology Laboratory, Baton Rouge, LA, 70820, USA.
Lelania BilodeauUSDA-ARS, Honey Bee Breeding, Genetics and Physiology Laboratory, Baton Rouge, LA, 70820, USA.
Robert DankaUSDA-ARS, Honey Bee Breeding, Genetics and Physiology Laboratory, Baton Rouge, LA, 70820, USA.
Lilia de GuzmanUSDA-ARS, Honey Bee Breeding, Genetics and Physiology Laboratory, Baton Rouge, LA, 70820, USA.
Frank RinkevichUSDA-ARS, Honey Bee Breeding, Genetics and Physiology Laboratory, Baton Rouge, LA, 70820, USA.
Philip TokarzUSDA-ARS, Honey Bee Breeding, Genetics and Physiology Laboratory, Baton Rouge, LA, 70820, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe population genetics of U.S. honey bee stocks remain poorly characterized despite the agricultural importance of Apis mellifera as the major crop pollinator. Commercial and research-based breeding programs have made significant improvements of favorable genetic traits (e.g. production and disease resistance). The variety of bees produced by artificial selection provides an opportunity to characterize the genetic diversity and regions of the genome undergoing selection in commonly managed stocks.

resultsPooled sequencing of eight honey bee stocks found strong genetic similarity among six of the stocks. Two stocks, Pol-line and Hilo, showed significant differentiation likely due to their intense and largely closed breeding for resistance to the parasitic Varroa mite. Few variants were identified as being specific to any one stock, indicating potential admixture among the sequenced stocks. Juxtaposing the underlying genetic variation of stocks selected for disease- and parasite-resistance behavior, we identified genes and candidate regions putatively associated with resistance regulated by hygienic behavior.

conclusionThis study provides important insights into the distinct genetic characteristics and population diversity of honey bee stocks used in the United States, and provides further evidence of high levels of admixture in commercially managed honey bee stocks. Furthermore, breeding efforts to enhance parasite resistance in honey bees may have created unique genetic profiles. Genomic regions of interest have been highlighted for potential future work related to developing genetic markers for selection of disease and parasite resistance traits. Due to the vast genomic similarities found among stocks in general, our findings suggest that additional data regarding gene expression, epigenetic and regulatory information are needed to more fully determine how stock phenotypic diversity is regulated.

Indexed as

BeesGenetic VariationAnimalsGenetic MarkersHigh-Throughput Nucleotide SequencingSelection, GeneticUnited StatesVarroidaeGenetic MarkersApis melliferaFSTGenetic diversityPool-seqSingle nucleotide polymorphismStock identification

Identifiers

PMID33032523
PMCPMC7545854

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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.