Evidence map›Paper›PMID 26159619›Full record

ArticleBMC genomics2015

Genome-wide analysis of signatures of selection in populations of African honey bees (Apis mellifera) using new web-based tools.

Zachary L Fuller, Elina L Niño, Harland M Patch, Oscar C Bedoya-Reina, Tracey Baumgarten, Elliud Muli, Fiona Mumoki, Aakrosh Ratan, John McGraw, Maryann Frazier and 4 more

Abstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  17. Genomic Variants Among ThreatenedG3 (Bethesda, Md.) · 2019
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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

14 authors.

Zachary L FullerDepartment of Biology, Pennsylvania State University, University Park, PA, USA. zlf105@psu.edu.
Elina L NiñoDepartment of Entomology, Center for Pollinator Research, Pennsylvania State University, University Park, PA, USA. elina.l.nino@gmail.com.
Harland M PatchDepartment of Entomology, Center for Pollinator Research, Pennsylvania State University, University Park, PA, USA. hmpatch@psu.edu.
Oscar C Bedoya-ReinaCenter for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, PA, USA. oscar@bx.psu.edu.
Tracey BaumgartenDepartment of Entomology, Center for Pollinator Research, Pennsylvania State University, University Park, PA, USA. tlb60@psu.edu.
Elliud MuliDepartment of Biological Sciences, South Eastern Kenya University (SEKU), P.O. Box 170-90200, Kitui, Kenya. elliudmuli@gmail.com.
Fiona MumokiThe International Center of Insect Physiology and Ecology (icipe), PO Box 30772-00100, Nairobi, Kenya. nelimafiona@yahoo.com.
Aakrosh RatanCenter for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, PA, USA. ar7jq@virgina.edu.
John McGrawDepartment of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA. jjm123@psu.edu.
Maryann FrazierDepartment of Entomology, Center for Pollinator Research, Pennsylvania State University, University Park, PA, USA. mxt15@psu.edu.
Daniel MasigaThe International Center of Insect Physiology and Ecology (icipe), PO Box 30772-00100, Nairobi, Kenya. dmasiga@icipe.org.
Stephen SchusterCenter for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, PA, USA. scs19@psu.edu.
Christina M GrozingerDepartment of Entomology, Center for Pollinator Research, Pennsylvania State University, University Park, PA, USA. cmgrozinger@psu.edu.
Webb MillerCenter for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, PA, USA.

Funding

Computation, Bioinformatics, and Statistics (CBIOS) Training ProgramT32GM102057 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHIAROMONTE, FRANCESCA, GIRIRAJAN, SANTHOSH · 2013 to 2022
$2.7M
NIGMS NIH HHS T32 GM102057
6 · The paper itself

Abstract

backgroundWith the development of inexpensive, high-throughput sequencing technologies, it has become feasible to examine questions related to population genetics and molecular evolution of non-model species in their ecological contexts on a genome-wide scale. Here, we employed a newly developed suite of integrated, web-based programs to examine population dynamics and signatures of selection across the genome using several well-established tests, including F ST, pN/pS, and McDonald-Kreitman. We applied these techniques to study populations of honey bees (Apis mellifera) in East Africa. In Kenya, there are several described A. mellifera subspecies, which are thought to be localized to distinct ecological regions.

resultsWe performed whole genome sequencing of 11 worker honey bees from apiaries distributed throughout Kenya and identified 3.6 million putative single-nucleotide polymorphisms. The dense coverage allowed us to apply several computational procedures to study population structure and the evolutionary relationships among the populations, and to detect signs of adaptive evolution across the genome. While there is considerable gene flow among the sampled populations, there are clear distinctions between populations from the northern desert region and those from the temperate, savannah region. We identified several genes showing population genetic patterns consistent with positive selection within African bee populations, and between these populations and European A. mellifera or Asian Apis florea.

conclusionsThese results lay the groundwork for future studies of adaptive ecological evolution in honey bees, and demonstrate the use of new, freely available web-based tools and workflows ( http://usegalaxy.org/r/kenyanbee ) that can be applied to any model system with genomic information.

Indexed as

AnimalsBeesEvolution, MolecularGenetics, PopulationGenome, InsectGenomicsKenyaModels, GeneticPolymorphism, Single NucleotidePopulation DynamicsSelection, GeneticTranscriptome

Identifiers

PMID26159619
PMCPMC4496815

What OpenQuestion holds

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LicenceCC BY
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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.