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

Christine G. Elsik(Georgetown University), Kim C. Worley(Baylor College of Medicine), Anna K. Bennett(Georgetown University), Martin Beye(Heinrich Heine University Düsseldorf), Francisco Câmara Ferreira(Universitat Pompeu Fabra), Christopher Childers(Georgetown University), Dirk C. de Graaf(Ghent University), Griet Debyser(Ghent University), Jixin Deng(Baylor College of Medicine), Bart Devreese(Ghent University), Eran Elhaik(Johns Hopkins University), Jay D. Evans(Agricultural Research Service), Leonard J. Foster(University of British Columbia), Dan Graur(University of Houston), Roderic Guigó(Universitat Pompeu Fabra), HGSC production teams(Universität Greifswald), Katharina J. Hoff(Baylor College of Medicine), Michael Holder(University of Illinois Urbana-Champaign), Matthew E. Hudson(University of Illinois Urbana-Champaign), Greg J. Hunt(State Street (United States)), Huaiyang Jiang(Baylor College of Medicine), Vandita Joshi(University of Illinois Urbana-Champaign), Radhika S. Khetani(University of Illinois Urbana-Champaign), Peter Kosarev(Baylor College of Medicine), Christie Kovar(University of Illinois Urbana-Champaign), Jian Ma(Australian National University), Ryszard Maleszka(Australian National University), Robin F. A. Moritz(Lawrence Berkeley National Laboratory), Mónica Muñoz-Torres(National Institutes of Health), Terence D. Murphy(National Institutes of Health), Donna M. Muzny(Baylor College of Medicine), Irene Newsham(Baylor College of Medicine), Justin Reese(University of Illinois Urbana-Champaign), Hugh M. Robertson(University of Illinois Urbana-Champaign), Gene E. Robinson(University of Illinois Urbana-Champaign), Olav Rueppell(University of North Carolina at Greensboro), Victor Solovyev(Universität Greifswald), Mario Stanke(Universität Greifswald), Eckart Stolle(Martin Luther University Halle-Wittenberg), Jennifer M. Tsuruda(Ghent University), Matthias Van Vaerenbergh(University of Geneva), Robert M. Waterhouse(SIB Swiss Institute of Bioinformatics), Daniel Weaver(University of Illinois Urbana-Champaign), Charles W. Whitfield(University of Illinois Urbana-Champaign), Yuanqing Wu(University of Geneva), Evgeny M. Zdobnov(SIB Swiss Institute of Bioinformatics), Lan Zhang(Baylor College of Medicine), Dianhui Zhu(Baylor College of Medicine), Richard A. Gibbs(Baylor College of Medicine)
BMC Genomics
January 1, 2014
Cited by 455Open Access
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Abstract

BACKGROUND: The 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. RESULTS: Here, 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. CONCLUSIONS: Lessons 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.


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