Proteomic analysis of the fish pathogen <it<Flavobacterium columnare</it<

<p<Abstract</p< <p<Background</p< <p<<it<Flavobacterium columnare </it<causes columnaris disease in cultured and wild fish populations worldwide. Columnaris is the second most prevalent bacterial disease of commercial channel catfish industry in the United S...
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Autor*in:	Lawrence Mark L [verfasserIn] Gülsoy Nagihan [verfasserIn] Dumpala Pradeep R [verfasserIn] Karsi Attila [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2010

Übergeordnetes Werk:	In: Proteome Science - BMC, 2003, 8(2010), 1, p 26
Übergeordnetes Werk:	volume:8 ; year:2010 ; number:1, p 26

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/1477-5956-8-26

Katalog-ID:	DOAJ021807035

Internformat


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520			\|a <p<Abstract</p< <p<Background</p< <p<<it<Flavobacterium columnare </it<causes columnaris disease in cultured and wild fish populations worldwide. Columnaris is the second most prevalent bacterial disease of commercial channel catfish industry in the United States. Despite its economic importance, little is known about the expressed proteins and virulence mechanisms of <it<F. columnare</it<. Here, we report the first high throughput proteomic analysis of <it<F. columnare </it<using 2-D LC ESI MS/MS and 2-DE MALDI TOF/TOF MS.</p< <p<Results</p< <p<Proteins identified in this study and predicted from the draft <it<F. columnare </it<genome were clustered into functional groups using clusters of orthologous groups (COGs), and their subcellular locations were predicted. Possible functional relations among the identified proteins were determined using pathway analysis. The total number of unique <it<F. columnare </it<proteins identified using both 2-D LC and 2-DE approaches was 621, of which 10.95% (68) were identified by both methods, while 77.29% (480) and 11.76% (73) were unique in 2-D LC and 2-DE, respectively. COG groupings and subcellular localizations were similar between our data set and proteins predicted from the whole genome. Twenty eight pathways were significantly represented in our dataset (<it<P </it<< 0.05).</p< <p<Conclusion</p< <p<Results from this study provide experimental evidence for many proteins that were predicted from the <it<F. columnare </it<genome annotation, and they should accelerate functional and comparative studies aimed at understanding virulence mechanisms of this important pathogen.</p<
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allfields	10.1186/1477-5956-8-26 doi (DE-627)DOAJ021807035 (DE-599)DOAJ22f094b42f354df8a3063d9f89230ef1 DE-627 ger DE-627 rakwb eng QH573-671 Lawrence Mark L verfasserin aut Proteomic analysis of the fish pathogen <it<Flavobacterium columnare</it< 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<<it<Flavobacterium columnare </it<causes columnaris disease in cultured and wild fish populations worldwide. Columnaris is the second most prevalent bacterial disease of commercial channel catfish industry in the United States. Despite its economic importance, little is known about the expressed proteins and virulence mechanisms of <it<F. columnare</it<. Here, we report the first high throughput proteomic analysis of <it<F. columnare </it<using 2-D LC ESI MS/MS and 2-DE MALDI TOF/TOF MS.</p< <p<Results</p< <p<Proteins identified in this study and predicted from the draft <it<F. columnare </it<genome were clustered into functional groups using clusters of orthologous groups (COGs), and their subcellular locations were predicted. Possible functional relations among the identified proteins were determined using pathway analysis. The total number of unique <it<F. columnare </it<proteins identified using both 2-D LC and 2-DE approaches was 621, of which 10.95% (68) were identified by both methods, while 77.29% (480) and 11.76% (73) were unique in 2-D LC and 2-DE, respectively. COG groupings and subcellular localizations were similar between our data set and proteins predicted from the whole genome. Twenty eight pathways were significantly represented in our dataset (<it<P </it<< 0.05).</p< <p<Conclusion</p< <p<Results from this study provide experimental evidence for many proteins that were predicted from the <it<F. columnare </it<genome annotation, and they should accelerate functional and comparative studies aimed at understanding virulence mechanisms of this important pathogen.</p< Cytology Gülsoy Nagihan verfasserin aut Dumpala Pradeep R verfasserin aut Karsi Attila verfasserin aut In Proteome Science BMC, 2003 8(2010), 1, p 26 (DE-627)383961440 (DE-600)2141087-2 14775956 nnns volume:8 year:2010 number:1, p 26 https://doi.org/10.1186/1477-5956-8-26 kostenfrei https://doaj.org/article/22f094b42f354df8a3063d9f89230ef1 kostenfrei http://www.proteomesci.com/content/8/1/26 kostenfrei https://doaj.org/toc/1477-5956 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2010 1, p 26
spelling	10.1186/1477-5956-8-26 doi (DE-627)DOAJ021807035 (DE-599)DOAJ22f094b42f354df8a3063d9f89230ef1 DE-627 ger DE-627 rakwb eng QH573-671 Lawrence Mark L verfasserin aut Proteomic analysis of the fish pathogen <it<Flavobacterium columnare</it< 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<<it<Flavobacterium columnare </it<causes columnaris disease in cultured and wild fish populations worldwide. Columnaris is the second most prevalent bacterial disease of commercial channel catfish industry in the United States. Despite its economic importance, little is known about the expressed proteins and virulence mechanisms of <it<F. columnare</it<. Here, we report the first high throughput proteomic analysis of <it<F. columnare </it<using 2-D LC ESI MS/MS and 2-DE MALDI TOF/TOF MS.</p< <p<Results</p< <p<Proteins identified in this study and predicted from the draft <it<F. columnare </it<genome were clustered into functional groups using clusters of orthologous groups (COGs), and their subcellular locations were predicted. Possible functional relations among the identified proteins were determined using pathway analysis. The total number of unique <it<F. columnare </it<proteins identified using both 2-D LC and 2-DE approaches was 621, of which 10.95% (68) were identified by both methods, while 77.29% (480) and 11.76% (73) were unique in 2-D LC and 2-DE, respectively. COG groupings and subcellular localizations were similar between our data set and proteins predicted from the whole genome. Twenty eight pathways were significantly represented in our dataset (<it<P </it<< 0.05).</p< <p<Conclusion</p< <p<Results from this study provide experimental evidence for many proteins that were predicted from the <it<F. columnare </it<genome annotation, and they should accelerate functional and comparative studies aimed at understanding virulence mechanisms of this important pathogen.</p< Cytology Gülsoy Nagihan verfasserin aut Dumpala Pradeep R verfasserin aut Karsi Attila verfasserin aut In Proteome Science BMC, 2003 8(2010), 1, p 26 (DE-627)383961440 (DE-600)2141087-2 14775956 nnns volume:8 year:2010 number:1, p 26 https://doi.org/10.1186/1477-5956-8-26 kostenfrei https://doaj.org/article/22f094b42f354df8a3063d9f89230ef1 kostenfrei http://www.proteomesci.com/content/8/1/26 kostenfrei https://doaj.org/toc/1477-5956 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2010 1, p 26
allfields_unstemmed	10.1186/1477-5956-8-26 doi (DE-627)DOAJ021807035 (DE-599)DOAJ22f094b42f354df8a3063d9f89230ef1 DE-627 ger DE-627 rakwb eng QH573-671 Lawrence Mark L verfasserin aut Proteomic analysis of the fish pathogen <it<Flavobacterium columnare</it< 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<<it<Flavobacterium columnare </it<causes columnaris disease in cultured and wild fish populations worldwide. Columnaris is the second most prevalent bacterial disease of commercial channel catfish industry in the United States. Despite its economic importance, little is known about the expressed proteins and virulence mechanisms of <it<F. columnare</it<. Here, we report the first high throughput proteomic analysis of <it<F. columnare </it<using 2-D LC ESI MS/MS and 2-DE MALDI TOF/TOF MS.</p< <p<Results</p< <p<Proteins identified in this study and predicted from the draft <it<F. columnare </it<genome were clustered into functional groups using clusters of orthologous groups (COGs), and their subcellular locations were predicted. Possible functional relations among the identified proteins were determined using pathway analysis. The total number of unique <it<F. columnare </it<proteins identified using both 2-D LC and 2-DE approaches was 621, of which 10.95% (68) were identified by both methods, while 77.29% (480) and 11.76% (73) were unique in 2-D LC and 2-DE, respectively. COG groupings and subcellular localizations were similar between our data set and proteins predicted from the whole genome. Twenty eight pathways were significantly represented in our dataset (<it<P </it<< 0.05).</p< <p<Conclusion</p< <p<Results from this study provide experimental evidence for many proteins that were predicted from the <it<F. columnare </it<genome annotation, and they should accelerate functional and comparative studies aimed at understanding virulence mechanisms of this important pathogen.</p< Cytology Gülsoy Nagihan verfasserin aut Dumpala Pradeep R verfasserin aut Karsi Attila verfasserin aut In Proteome Science BMC, 2003 8(2010), 1, p 26 (DE-627)383961440 (DE-600)2141087-2 14775956 nnns volume:8 year:2010 number:1, p 26 https://doi.org/10.1186/1477-5956-8-26 kostenfrei https://doaj.org/article/22f094b42f354df8a3063d9f89230ef1 kostenfrei http://www.proteomesci.com/content/8/1/26 kostenfrei https://doaj.org/toc/1477-5956 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2010 1, p 26
allfieldsGer	10.1186/1477-5956-8-26 doi (DE-627)DOAJ021807035 (DE-599)DOAJ22f094b42f354df8a3063d9f89230ef1 DE-627 ger DE-627 rakwb eng QH573-671 Lawrence Mark L verfasserin aut Proteomic analysis of the fish pathogen <it<Flavobacterium columnare</it< 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<<it<Flavobacterium columnare </it<causes columnaris disease in cultured and wild fish populations worldwide. Columnaris is the second most prevalent bacterial disease of commercial channel catfish industry in the United States. Despite its economic importance, little is known about the expressed proteins and virulence mechanisms of <it<F. columnare</it<. Here, we report the first high throughput proteomic analysis of <it<F. columnare </it<using 2-D LC ESI MS/MS and 2-DE MALDI TOF/TOF MS.</p< <p<Results</p< <p<Proteins identified in this study and predicted from the draft <it<F. columnare </it<genome were clustered into functional groups using clusters of orthologous groups (COGs), and their subcellular locations were predicted. Possible functional relations among the identified proteins were determined using pathway analysis. The total number of unique <it<F. columnare </it<proteins identified using both 2-D LC and 2-DE approaches was 621, of which 10.95% (68) were identified by both methods, while 77.29% (480) and 11.76% (73) were unique in 2-D LC and 2-DE, respectively. COG groupings and subcellular localizations were similar between our data set and proteins predicted from the whole genome. Twenty eight pathways were significantly represented in our dataset (<it<P </it<< 0.05).</p< <p<Conclusion</p< <p<Results from this study provide experimental evidence for many proteins that were predicted from the <it<F. columnare </it<genome annotation, and they should accelerate functional and comparative studies aimed at understanding virulence mechanisms of this important pathogen.</p< Cytology Gülsoy Nagihan verfasserin aut Dumpala Pradeep R verfasserin aut Karsi Attila verfasserin aut In Proteome Science BMC, 2003 8(2010), 1, p 26 (DE-627)383961440 (DE-600)2141087-2 14775956 nnns volume:8 year:2010 number:1, p 26 https://doi.org/10.1186/1477-5956-8-26 kostenfrei https://doaj.org/article/22f094b42f354df8a3063d9f89230ef1 kostenfrei http://www.proteomesci.com/content/8/1/26 kostenfrei https://doaj.org/toc/1477-5956 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2010 1, p 26
allfieldsSound	10.1186/1477-5956-8-26 doi (DE-627)DOAJ021807035 (DE-599)DOAJ22f094b42f354df8a3063d9f89230ef1 DE-627 ger DE-627 rakwb eng QH573-671 Lawrence Mark L verfasserin aut Proteomic analysis of the fish pathogen <it<Flavobacterium columnare</it< 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<<it<Flavobacterium columnare </it<causes columnaris disease in cultured and wild fish populations worldwide. Columnaris is the second most prevalent bacterial disease of commercial channel catfish industry in the United States. Despite its economic importance, little is known about the expressed proteins and virulence mechanisms of <it<F. columnare</it<. Here, we report the first high throughput proteomic analysis of <it<F. columnare </it<using 2-D LC ESI MS/MS and 2-DE MALDI TOF/TOF MS.</p< <p<Results</p< <p<Proteins identified in this study and predicted from the draft <it<F. columnare </it<genome were clustered into functional groups using clusters of orthologous groups (COGs), and their subcellular locations were predicted. Possible functional relations among the identified proteins were determined using pathway analysis. The total number of unique <it<F. columnare </it<proteins identified using both 2-D LC and 2-DE approaches was 621, of which 10.95% (68) were identified by both methods, while 77.29% (480) and 11.76% (73) were unique in 2-D LC and 2-DE, respectively. COG groupings and subcellular localizations were similar between our data set and proteins predicted from the whole genome. Twenty eight pathways were significantly represented in our dataset (<it<P </it<< 0.05).</p< <p<Conclusion</p< <p<Results from this study provide experimental evidence for many proteins that were predicted from the <it<F. columnare </it<genome annotation, and they should accelerate functional and comparative studies aimed at understanding virulence mechanisms of this important pathogen.</p< Cytology Gülsoy Nagihan verfasserin aut Dumpala Pradeep R verfasserin aut Karsi Attila verfasserin aut In Proteome Science BMC, 2003 8(2010), 1, p 26 (DE-627)383961440 (DE-600)2141087-2 14775956 nnns volume:8 year:2010 number:1, p 26 https://doi.org/10.1186/1477-5956-8-26 kostenfrei https://doaj.org/article/22f094b42f354df8a3063d9f89230ef1 kostenfrei http://www.proteomesci.com/content/8/1/26 kostenfrei https://doaj.org/toc/1477-5956 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2010 1, p 26
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callnumber-first	Q - Science
author	Lawrence Mark L
spellingShingle	Lawrence Mark L misc QH573-671 misc Cytology Proteomic analysis of the fish pathogen <it<Flavobacterium columnare</it<
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topic_title	QH573-671 Proteomic analysis of the fish pathogen <it<Flavobacterium columnare</it<
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title	Proteomic analysis of the fish pathogen <it<Flavobacterium columnare</it<
ctrlnum	(DE-627)DOAJ021807035 (DE-599)DOAJ22f094b42f354df8a3063d9f89230ef1
title_full	Proteomic analysis of the fish pathogen <it<Flavobacterium columnare</it<
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author_browse	Lawrence Mark L Gülsoy Nagihan Dumpala Pradeep R Karsi Attila
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title_sort	proteomic analysis of the fish pathogen <it<flavobacterium columnare</it<
callnumber	QH573-671
title_auth	Proteomic analysis of the fish pathogen <it<Flavobacterium columnare</it<
abstract	<p<Abstract</p< <p<Background</p< <p<<it<Flavobacterium columnare </it<causes columnaris disease in cultured and wild fish populations worldwide. Columnaris is the second most prevalent bacterial disease of commercial channel catfish industry in the United States. Despite its economic importance, little is known about the expressed proteins and virulence mechanisms of <it<F. columnare</it<. Here, we report the first high throughput proteomic analysis of <it<F. columnare </it<using 2-D LC ESI MS/MS and 2-DE MALDI TOF/TOF MS.</p< <p<Results</p< <p<Proteins identified in this study and predicted from the draft <it<F. columnare </it<genome were clustered into functional groups using clusters of orthologous groups (COGs), and their subcellular locations were predicted. Possible functional relations among the identified proteins were determined using pathway analysis. The total number of unique <it<F. columnare </it<proteins identified using both 2-D LC and 2-DE approaches was 621, of which 10.95% (68) were identified by both methods, while 77.29% (480) and 11.76% (73) were unique in 2-D LC and 2-DE, respectively. COG groupings and subcellular localizations were similar between our data set and proteins predicted from the whole genome. Twenty eight pathways were significantly represented in our dataset (<it<P </it<< 0.05).</p< <p<Conclusion</p< <p<Results from this study provide experimental evidence for many proteins that were predicted from the <it<F. columnare </it<genome annotation, and they should accelerate functional and comparative studies aimed at understanding virulence mechanisms of this important pathogen.</p<
abstractGer	<p<Abstract</p< <p<Background</p< <p<<it<Flavobacterium columnare </it<causes columnaris disease in cultured and wild fish populations worldwide. Columnaris is the second most prevalent bacterial disease of commercial channel catfish industry in the United States. Despite its economic importance, little is known about the expressed proteins and virulence mechanisms of <it<F. columnare</it<. Here, we report the first high throughput proteomic analysis of <it<F. columnare </it<using 2-D LC ESI MS/MS and 2-DE MALDI TOF/TOF MS.</p< <p<Results</p< <p<Proteins identified in this study and predicted from the draft <it<F. columnare </it<genome were clustered into functional groups using clusters of orthologous groups (COGs), and their subcellular locations were predicted. Possible functional relations among the identified proteins were determined using pathway analysis. The total number of unique <it<F. columnare </it<proteins identified using both 2-D LC and 2-DE approaches was 621, of which 10.95% (68) were identified by both methods, while 77.29% (480) and 11.76% (73) were unique in 2-D LC and 2-DE, respectively. COG groupings and subcellular localizations were similar between our data set and proteins predicted from the whole genome. Twenty eight pathways were significantly represented in our dataset (<it<P </it<< 0.05).</p< <p<Conclusion</p< <p<Results from this study provide experimental evidence for many proteins that were predicted from the <it<F. columnare </it<genome annotation, and they should accelerate functional and comparative studies aimed at understanding virulence mechanisms of this important pathogen.</p<
abstract_unstemmed	<p<Abstract</p< <p<Background</p< <p<<it<Flavobacterium columnare </it<causes columnaris disease in cultured and wild fish populations worldwide. Columnaris is the second most prevalent bacterial disease of commercial channel catfish industry in the United States. Despite its economic importance, little is known about the expressed proteins and virulence mechanisms of <it<F. columnare</it<. Here, we report the first high throughput proteomic analysis of <it<F. columnare </it<using 2-D LC ESI MS/MS and 2-DE MALDI TOF/TOF MS.</p< <p<Results</p< <p<Proteins identified in this study and predicted from the draft <it<F. columnare </it<genome were clustered into functional groups using clusters of orthologous groups (COGs), and their subcellular locations were predicted. Possible functional relations among the identified proteins were determined using pathway analysis. The total number of unique <it<F. columnare </it<proteins identified using both 2-D LC and 2-DE approaches was 621, of which 10.95% (68) were identified by both methods, while 77.29% (480) and 11.76% (73) were unique in 2-D LC and 2-DE, respectively. COG groupings and subcellular localizations were similar between our data set and proteins predicted from the whole genome. Twenty eight pathways were significantly represented in our dataset (<it<P </it<< 0.05).</p< <p<Conclusion</p< <p<Results from this study provide experimental evidence for many proteins that were predicted from the <it<F. columnare </it<genome annotation, and they should accelerate functional and comparative studies aimed at understanding virulence mechanisms of this important pathogen.</p<
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title_short	Proteomic analysis of the fish pathogen <it<Flavobacterium columnare</it<
url	https://doi.org/10.1186/1477-5956-8-26 https://doaj.org/article/22f094b42f354df8a3063d9f89230ef1 http://www.proteomesci.com/content/8/1/26 https://doaj.org/toc/1477-5956
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Proteomic analysis of the fish pathogen <it<Flavobacterium columnare</it<

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