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Sequencing and annotation of the Ophiostoma ulmi genome
The ascomycete fungus Ophiostoma ulmi was responsible for the initial pandemic of the massively destructive Dutch elm disease in Europe and North America in early 1910. Dutch elm disease has ravaged the elm tree population globally and is a major threat to the remaining elm population. O. ulmi is al...
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Published in: | BMC genomics 2013-03, Vol.14 (1), p.162-162 |
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creator | Khoshraftar, Shima Hung, Stacy Khan, Sadia Gong, Yunchen Tyagi, Vibha Parkinson, John Sain, Mohini Moses, Alan M Christendat, Dinesh |
description | The ascomycete fungus Ophiostoma ulmi was responsible for the initial pandemic of the massively destructive Dutch elm disease in Europe and North America in early 1910. Dutch elm disease has ravaged the elm tree population globally and is a major threat to the remaining elm population. O. ulmi is also associated with valuable biomaterials applications. It was recently discovered that proteins from O. ulmi can be used for efficient transformation of amylose in the production of bioplastics.
We have sequenced the 31.5 Mb genome of O.ulmi using Illumina next generation sequencing. Applying both de novo and comparative genome annotation methods, we predict a total of 8639 gene models. The quality of the predicted genes was validated using a variety of data sources consisting of EST data, mRNA-seq data and orthologs from related fungal species. Sequence-based computational methods were used to identify candidate virulence-related genes. Metabolic pathways were reconstructed and highlight specific enzymes that may play a role in virulence.
This genome sequence will be a useful resource for further research aimed at understanding the molecular mechanisms of pathogenicity by O. ulmi. It will also facilitate the identification of enzymes necessary for industrial biotransformation applications. |
doi_str_mv | 10.1186/1471-2164-14-162 |
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We have sequenced the 31.5 Mb genome of O.ulmi using Illumina next generation sequencing. Applying both de novo and comparative genome annotation methods, we predict a total of 8639 gene models. The quality of the predicted genes was validated using a variety of data sources consisting of EST data, mRNA-seq data and orthologs from related fungal species. Sequence-based computational methods were used to identify candidate virulence-related genes. Metabolic pathways were reconstructed and highlight specific enzymes that may play a role in virulence.
This genome sequence will be a useful resource for further research aimed at understanding the molecular mechanisms of pathogenicity by O. ulmi. It will also facilitate the identification of enzymes necessary for industrial biotransformation applications.</description><identifier>ISSN: 1471-2164</identifier><identifier>EISSN: 1471-2164</identifier><identifier>DOI: 10.1186/1471-2164-14-162</identifier><identifier>PMID: 23496816</identifier><language>eng</language><publisher>England: BioMed Central</publisher><subject>Ascomycetes ; Colleges & universities ; Comparative analysis ; Expressed Sequence Tags ; Fungal Proteins - chemistry ; Fungal Proteins - genetics ; Fungal Proteins - metabolism ; Genetics ; Genome, Fungal ; Genomes ; Genomics ; Growth rate ; Ophiostoma - classification ; Ophiostoma - genetics ; Ophiostoma ulmi ; Phylogeny ; Plant diseases ; Proteins ; RNA, Messenger - chemistry ; RNA, Messenger - genetics ; RNA, Messenger - metabolism ; Sequence Analysis, DNA ; Sequence Analysis, RNA ; Trees ; Virulence - genetics</subject><ispartof>BMC genomics, 2013-03, Vol.14 (1), p.162-162</ispartof><rights>2013 Khoshraftar et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright © 2013 Khoshraftar et al.; licensee BioMed Central Ltd. 2013 Khoshraftar et al.; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3618308/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1323903044?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23496816$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Khoshraftar, Shima</creatorcontrib><creatorcontrib>Hung, Stacy</creatorcontrib><creatorcontrib>Khan, Sadia</creatorcontrib><creatorcontrib>Gong, Yunchen</creatorcontrib><creatorcontrib>Tyagi, Vibha</creatorcontrib><creatorcontrib>Parkinson, John</creatorcontrib><creatorcontrib>Sain, Mohini</creatorcontrib><creatorcontrib>Moses, Alan M</creatorcontrib><creatorcontrib>Christendat, Dinesh</creatorcontrib><title>Sequencing and annotation of the Ophiostoma ulmi genome</title><title>BMC genomics</title><addtitle>BMC Genomics</addtitle><description>The ascomycete fungus Ophiostoma ulmi was responsible for the initial pandemic of the massively destructive Dutch elm disease in Europe and North America in early 1910. Dutch elm disease has ravaged the elm tree population globally and is a major threat to the remaining elm population. O. ulmi is also associated with valuable biomaterials applications. It was recently discovered that proteins from O. ulmi can be used for efficient transformation of amylose in the production of bioplastics.
We have sequenced the 31.5 Mb genome of O.ulmi using Illumina next generation sequencing. Applying both de novo and comparative genome annotation methods, we predict a total of 8639 gene models. The quality of the predicted genes was validated using a variety of data sources consisting of EST data, mRNA-seq data and orthologs from related fungal species. Sequence-based computational methods were used to identify candidate virulence-related genes. Metabolic pathways were reconstructed and highlight specific enzymes that may play a role in virulence.
This genome sequence will be a useful resource for further research aimed at understanding the molecular mechanisms of pathogenicity by O. ulmi. It will also facilitate the identification of enzymes necessary for industrial biotransformation applications.</description><subject>Ascomycetes</subject><subject>Colleges & universities</subject><subject>Comparative analysis</subject><subject>Expressed Sequence Tags</subject><subject>Fungal Proteins - chemistry</subject><subject>Fungal Proteins - genetics</subject><subject>Fungal Proteins - metabolism</subject><subject>Genetics</subject><subject>Genome, Fungal</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Growth rate</subject><subject>Ophiostoma - classification</subject><subject>Ophiostoma - genetics</subject><subject>Ophiostoma ulmi</subject><subject>Phylogeny</subject><subject>Plant diseases</subject><subject>Proteins</subject><subject>RNA, Messenger - chemistry</subject><subject>RNA, Messenger - genetics</subject><subject>RNA, Messenger - metabolism</subject><subject>Sequence Analysis, DNA</subject><subject>Sequence Analysis, RNA</subject><subject>Trees</subject><subject>Virulence - 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Dutch elm disease has ravaged the elm tree population globally and is a major threat to the remaining elm population. O. ulmi is also associated with valuable biomaterials applications. It was recently discovered that proteins from O. ulmi can be used for efficient transformation of amylose in the production of bioplastics.
We have sequenced the 31.5 Mb genome of O.ulmi using Illumina next generation sequencing. Applying both de novo and comparative genome annotation methods, we predict a total of 8639 gene models. The quality of the predicted genes was validated using a variety of data sources consisting of EST data, mRNA-seq data and orthologs from related fungal species. Sequence-based computational methods were used to identify candidate virulence-related genes. Metabolic pathways were reconstructed and highlight specific enzymes that may play a role in virulence.
This genome sequence will be a useful resource for further research aimed at understanding the molecular mechanisms of pathogenicity by O. ulmi. It will also facilitate the identification of enzymes necessary for industrial biotransformation applications.</abstract><cop>England</cop><pub>BioMed Central</pub><pmid>23496816</pmid><doi>10.1186/1471-2164-14-162</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Ascomycetes Colleges & universities Comparative analysis Expressed Sequence Tags Fungal Proteins - chemistry Fungal Proteins - genetics Fungal Proteins - metabolism Genetics Genome, Fungal Genomes Genomics Growth rate Ophiostoma - classification Ophiostoma - genetics Ophiostoma ulmi Phylogeny Plant diseases Proteins RNA, Messenger - chemistry RNA, Messenger - genetics RNA, Messenger - metabolism Sequence Analysis, DNA Sequence Analysis, RNA Trees Virulence - genetics |
title | Sequencing and annotation of the Ophiostoma ulmi genome |
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