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

Identifieur interne : 000151 ( Canada/Analysis ); précédent : 000150; suivant : 000152

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

Auteurs : Christine G. Elsik [États-Unis] ; Kim C. Worley [États-Unis] ; Anna K. Bennett [États-Unis] ; Martin Beye [Allemagne] ; Francisco Camara [Espagne] ; Christopher P. Childers [États-Unis] ; Dirk C. De Graaf [Belgique] ; Griet Debyser [Belgique] ; Jixin Deng [États-Unis] ; Bart Devreese [Belgique] ; Eran Elhaik [États-Unis] ; Jay D. Evans [États-Unis] ; Leonard J. Foster [Canada] ; Dan Graur [États-Unis] ; Roderic Guigo [Espagne]

Source :

RBID : PMC:4028053

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.


Url:
DOI: 10.1186/1471-2164-15-86
PubMed: 24479613
PubMed Central: 4028053


Affiliations:


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PMC:4028053

Le document en format XML

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<author>
<name sortKey="Foster, Leonard J" sort="Foster, Leonard J" uniqKey="Foster L" first="Leonard J" last="Foster">Leonard J. Foster</name>
<affiliation wicri:level="1">
<nlm:aff id="I11">Department of Biochemistry & Molecular Biology, Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, BC, Canada</nlm:aff>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Department of Biochemistry & Molecular Biology, Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, BC</wicri:regionArea>
<wicri:noRegion>BC</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Graur, Dan" sort="Graur, Dan" uniqKey="Graur D" first="Dan" last="Graur">Dan Graur</name>
<affiliation wicri:level="2">
<nlm:aff id="I12">Department of Biology and Biochemistry, University of Houston, Houston, TX 77204-5001, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Biology and Biochemistry, University of Houston, Houston, TX 77204-5001</wicri:regionArea>
<placeName>
<region type="state">Texas</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Guigo, Roderic" sort="Guigo, Roderic" uniqKey="Guigo R" first="Roderic" last="Guigo">Roderic Guigo</name>
<affiliation wicri:level="4">
<nlm:aff id="I5">Center for Genomic Regulation, Universitat Pompeu Fabra, C/Dr. Aiguader 88, E-08003 Barcelona, Catalonia, Spain</nlm:aff>
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>Center for Genomic Regulation, Universitat Pompeu Fabra, C/Dr. Aiguader 88, E-08003 Barcelona, Catalonia</wicri:regionArea>
<orgName type="university">Université Pompeu Fabra</orgName>
<placeName>
<settlement type="city">Barcelone</settlement>
<region nuts="2" type="region">Catalogne</region>
</placeName>
</affiliation>
</author>
</analytic>
<series>
<title level="j">BMC Genomics</title>
<idno type="eISSN">1471-2164</idno>
<imprint>
<date when="2014">2014</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<sec>
<title>Background</title>
<p>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 (
<italic>Apis mellifera</italic>
) 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.</p>
</sec>
<sec>
<title>Results</title>
<p>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.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>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.</p>
</sec>
</div>
</front>
<back>
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</author>
<author>
<name sortKey="Jurka, J" uniqKey="Jurka J">J Jurka</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Yuan, Yw" uniqKey="Yuan Y">YW Yuan</name>
</author>
<author>
<name sortKey="Wessler, Sr" uniqKey="Wessler S">SR Wessler</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Kapitonov, Vv" uniqKey="Kapitonov V">VV Kapitonov</name>
</author>
<author>
<name sortKey="Jurka, J" uniqKey="Jurka J">J Jurka</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Kodama, Y" uniqKey="Kodama Y">Y Kodama</name>
</author>
<author>
<name sortKey="Shumway, M" uniqKey="Shumway M">M Shumway</name>
</author>
<author>
<name sortKey="Leinonen, R" uniqKey="Leinonen R">R Leinonen</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
</listBibl>
</div1>
</back>
</TEI>
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<list>
<country>
<li>Allemagne</li>
<li>Belgique</li>
<li>Canada</li>
<li>Espagne</li>
<li>États-Unis</li>
</country>
<region>
<li>Catalogne</li>
<li>District de Columbia</li>
<li>District de Düsseldorf</li>
<li>Maryland</li>
<li>Missouri (État)</li>
<li>Province de Flandre-Orientale</li>
<li>Rhénanie-du-Nord-Westphalie</li>
<li>Région flamande</li>
<li>Texas</li>
</region>
<settlement>
<li>Barcelone</li>
<li>Düsseldorf</li>
<li>Gand</li>
</settlement>
<orgName>
<li>Université Pompeu Fabra</li>
<li>Université de Gand</li>
</orgName>
</list>
<tree>
<country name="États-Unis">
<region name="Missouri (État)">
<name sortKey="Elsik, Christine G" sort="Elsik, Christine G" uniqKey="Elsik C" first="Christine G" last="Elsik">Christine G. Elsik</name>
</region>
<name sortKey="Bennett, Anna K" sort="Bennett, Anna K" uniqKey="Bennett A" first="Anna K" last="Bennett">Anna K. Bennett</name>
<name sortKey="Childers, Christopher P" sort="Childers, Christopher P" uniqKey="Childers C" first="Christopher P" last="Childers">Christopher P. Childers</name>
<name sortKey="Childers, Christopher P" sort="Childers, Christopher P" uniqKey="Childers C" first="Christopher P" last="Childers">Christopher P. Childers</name>
<name sortKey="Deng, Jixin" sort="Deng, Jixin" uniqKey="Deng J" first="Jixin" last="Deng">Jixin Deng</name>
<name sortKey="Elhaik, Eran" sort="Elhaik, Eran" uniqKey="Elhaik E" first="Eran" last="Elhaik">Eran Elhaik</name>
<name sortKey="Elsik, Christine G" sort="Elsik, Christine G" uniqKey="Elsik C" first="Christine G" last="Elsik">Christine G. Elsik</name>
<name sortKey="Evans, Jay D" sort="Evans, Jay D" uniqKey="Evans J" first="Jay D" last="Evans">Jay D. Evans</name>
<name sortKey="Graur, Dan" sort="Graur, Dan" uniqKey="Graur D" first="Dan" last="Graur">Dan Graur</name>
<name sortKey="Worley, Kim C" sort="Worley, Kim C" uniqKey="Worley K" first="Kim C" last="Worley">Kim C. Worley</name>
</country>
<country name="Allemagne">
<region name="Rhénanie-du-Nord-Westphalie">
<name sortKey="Beye, Martin" sort="Beye, Martin" uniqKey="Beye M" first="Martin" last="Beye">Martin Beye</name>
</region>
</country>
<country name="Espagne">
<region name="Catalogne">
<name sortKey="Camara, Francisco" sort="Camara, Francisco" uniqKey="Camara F" first="Francisco" last="Camara">Francisco Camara</name>
</region>
<name sortKey="Guigo, Roderic" sort="Guigo, Roderic" uniqKey="Guigo R" first="Roderic" last="Guigo">Roderic Guigo</name>
</country>
<country name="Belgique">
<region name="Région flamande">
<name sortKey="De Graaf, Dirk C" sort="De Graaf, Dirk C" uniqKey="De Graaf D" first="Dirk C" last="De Graaf">Dirk C. De Graaf</name>
</region>
<name sortKey="Debyser, Griet" sort="Debyser, Griet" uniqKey="Debyser G" first="Griet" last="Debyser">Griet Debyser</name>
<name sortKey="Devreese, Bart" sort="Devreese, Bart" uniqKey="Devreese B" first="Bart" last="Devreese">Bart Devreese</name>
</country>
<country name="Canada">
<noRegion>
<name sortKey="Foster, Leonard J" sort="Foster, Leonard J" uniqKey="Foster L" first="Leonard J" last="Foster">Leonard J. Foster</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

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