Evidence map›Paper›PMID 24479613›Full record

ArticleBMC genomics2014

Finding the missing honey bee genes: lessons learned from a genome upgrade.

Christine G Elsik, Kim C Worley, Anna K Bennett, Martin Beye, Francisco Camara, Christopher P Childers, Dirk C de Graaf, Griet Debyser, Jixin Deng, Bart Devreese and 40 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 202 papers.

0numbers the graph read from it
0cells of the map it votes in
202citing papers in PubMed
36.4field-weighted citation impact, top 1% of its field
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

202 citing papers in PubMed, 452 citations in OpenAlex.

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  15. Accurate Detection ofEcology and evolution · 2024
    Article
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142 more citing papers are in PubMed but not listed here.

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

50 authors at 19 institutions in 8 countries.

Christine G ElsikDivision of Animal Sciences, Division of Plant Sciences, and MU Informatics Institute, University of Missouri, Columbia, MO 65211, USA. elsikc@missouri.edu.
Kim C Worley
Anna K Bennett
Martin Beye
Francisco Camara
Christopher P Childers
Dirk C de Graaf
Griet Debyser
Jixin Deng
Bart Devreese
Eran Elhaik
Jay D Evans
Leonard J Foster
Dan Graur
Roderic Guigo
HGSC production teams
Katharina Jasmin Hoff
Michael E Holder
Matthew E Hudson
Greg J Hunt
Huaiyang Jiang
Vandita Joshi
Radhika S Khetani
Peter Kosarev
Christie L Kovar
Jian Ma
Ryszard Maleszka
Robin F A Moritz
Monica C Munoz-Torres
Terence D Murphy
Donna M Muzny
Irene F Newsham
Justin T Reese
Hugh M Robertson
Gene E Robinson
Olav Rueppell
Victor Solovyev
Mario Stanke
Eckart Stolle
Jennifer M Tsuruda
Matthias Van Vaerenbergh
Robert M Waterhouse
Daniel B Weaver
Charles W Whitfield
Yuanqing Wu
Evgeny M Zdobnov
Lan Zhang
Dianhui Zhu
Richard A Gibbs
Honey Bee Genome Sequencing Consortium
Baylor College of Medicine · USUniversity of Illinois Urbana-Champaign · USGhent University · BEGeorgetown University · USUniversität Greifswald · DEAustralian National University · AUNational Institutes of Health · USSIB Swiss Institute of Bioinformatics · CHUniversitat Pompeu Fabra · ESUniversity of Geneva · CHAgricultural Research Service · USHeinrich Heine University Düsseldorf · DEJohns Hopkins University · USLawrence Berkeley National Laboratory · USMartin Luther University Halle-Wittenberg · DEState Street (United States) · USUniversity of British Columbia · CAUniversity of Houston · USUniversity of North Carolina at Greensboro · US

Funding

The Human Genome Sequencing CenterU54HG003273 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2004 to 2015
$341.3M
NHGRI NIH HHS U54 HG003273
6 · The paper itself

Abstract

backgroundThe first generation of genome sequence assemblies and annotations have had a significant impact upon our understanding of the biology of the sequenced species, the phylogenetic relationships among species, the study of populations within and across species, and have informed the biology of humans. As only a few Metazoan genomes are approaching finished quality (human, mouse, fly and worm), there is room for improvement of most genome assemblies. The honey bee (Apis mellifera) genome, published in 2006, was noted for its bimodal GC content distribution that affected the quality of the assembly in some regions and for fewer genes in the initial gene set (OGSv1.0) compared to what would be expected based on other sequenced insect genomes.

resultsHere, we report an improved honey bee genome assembly (Amel_4.5) with a new gene annotation set (OGSv3.2), and show that the honey bee genome contains a number of genes similar to that of other insect genomes, contrary to what was suggested in OGSv1.0. The new genome assembly is more contiguous and complete and the new gene set includes ~5000 more protein-coding genes, 50% more than previously reported. About 1/6 of the additional genes were due to improvements to the assembly, and the remaining were inferred based on new RNAseq and protein data.

conclusionsLessons learned from this genome upgrade have important implications for future genome sequencing projects. Furthermore, the improvements significantly enhance genomic resources for the honey bee, a key model for social behavior and essential to global ecology through pollination.

Indexed as

Genes, InsectAnimalsBase CompositionBeesDatabases, GeneticInterspersed Repetitive SequencesMolecular Sequence AnnotationOpen Reading FramesPeptidesSequence Analysis, RNASequence Homology, Amino AcidPeptides

Identifiers

PMID24479613
PMCPMC4028053
OpenAlexW2112814626

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.