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In silico prediction of horizontal gene transfer in Streptococcus thermophilus

Identifieur interne : 000156 ( PascalFrancis/Corpus ); précédent : 000155; suivant : 000157

In silico prediction of horizontal gene transfer in Streptococcus thermophilus

Auteurs : Catherine Eng ; Annabelle Thibessard ; Morten Danielsen ; Thomas Bovbjerg Rasmussen ; Jean-François Mari ; Pierre Leblond

Source :

RBID : Pascal:11-0189733

Descripteurs français

English descriptors

Abstract

A combination of gene loss and acquisition through horizontal gene transfer (HGT) is thought to drive Streptococcus thermophilus adaptation to its niche, i.e. milk. In this study, we describe an in silico analysis combining a stochastic data mining method, analysis of homologous gene distribution and the identification of features frequently associated with horizontally transferred genes to assess the proportion of the S. thermophilus genome that could originate from HGT. Our mining approach pointed out that about 17.7% of S. thermophilus genes (362 CDSs of 1,915) showed a composition bias; these genes were called 'atypical'. For 22% of them, their functional annotation strongly support their acquisition through HGT and consisted mainly in genes encoding mobile genetic recombinases, exopolysaccharide (EPS) biosynthesis enzymes or resistance mechanisms to bacteriophages. The distribution of the atypical genes in the Firmicutes phylum as well as in S. thermophilus species was sporadic and supported the HGT prediction for more than a half (52%, 189). Among them, 46 were found specific to S. thermophilus. Finally, by combining our method, gene annotation and sequence specific features, new genome islands were suggested in the S. thermophilus genome.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

pA  
A01 01  1    @0 0302-8933
A02 01      @0 AMICCW
A03   1    @0 Arch. microbiol.
A05       @2 193
A06       @2 4
A08 01  1  ENG  @1 In silico prediction of horizontal gene transfer in Streptococcus thermophilus
A11 01  1    @1 ENG (Catherine)
A11 02  1    @1 THIBESSARD (Annabelle)
A11 03  1    @1 DANIELSEN (Morten)
A11 04  1    @1 RASMUSSEN (Thomas Bovbjerg)
A11 05  1    @1 MARI (Jean-François)
A11 06  1    @1 LEBLOND (Pierre)
A14 01      @1 Genetique et Microbiologie, UMR UHP-INRA 1128, IFR 110 EFABA, Universite de Lorraine, Faculté des Sciences et Technologies, BP 239 @2 54506 Vandœuvre-lès-Nancy @3 FRA @Z 1 aut. @Z 2 aut. @Z 6 aut.
A14 02      @1 LORIA, UMR CNRS 7503 et INRIA Lorraine, Campus scientifique, BP 70239 @2 54506 Vandœuvre-lès-Nancy @3 FRA @Z 1 aut. @Z 5 aut.
A14 03      @1 Department of Assays, Chr. Hansen A/S @2 Hørsholm @3 DNK @Z 3 aut. @Z 4 aut.
A14 04      @1 Department of Physiology, innovation, Chr. Hansen A/S @2 Hørsholm @3 DNK @Z 3 aut. @Z 4 aut.
A20       @1 287-297
A21       @1 2011
A23 01      @0 ENG
A43 01      @1 INIST @2 856 @5 354000194473910060
A44       @0 0000 @1 © 2011 INIST-CNRS. All rights reserved.
A45       @0 3/4 p.
A47 01  1    @0 11-0189733
A60       @1 P
A61       @0 A
A64 01  1    @0 Archives of microbiology
A66 01      @0 DEU
C01 01    ENG  @0 A combination of gene loss and acquisition through horizontal gene transfer (HGT) is thought to drive Streptococcus thermophilus adaptation to its niche, i.e. milk. In this study, we describe an in silico analysis combining a stochastic data mining method, analysis of homologous gene distribution and the identification of features frequently associated with horizontally transferred genes to assess the proportion of the S. thermophilus genome that could originate from HGT. Our mining approach pointed out that about 17.7% of S. thermophilus genes (362 CDSs of 1,915) showed a composition bias; these genes were called 'atypical'. For 22% of them, their functional annotation strongly support their acquisition through HGT and consisted mainly in genes encoding mobile genetic recombinases, exopolysaccharide (EPS) biosynthesis enzymes or resistance mechanisms to bacteriophages. The distribution of the atypical genes in the Firmicutes phylum as well as in S. thermophilus species was sporadic and supported the HGT prediction for more than a half (52%, 189). Among them, 46 were found specific to S. thermophilus. Finally, by combining our method, gene annotation and sequence specific features, new genome islands were suggested in the S. thermophilus genome.
C02 01  X    @0 002A05B15
C03 01  X  FRE  @0 Streptococcus salivarius subsp. thermophilus @2 NS @5 01
C03 01  X  ENG  @0 Streptococcus salivarius subsp. thermophilus @2 NS @5 01
C03 01  X  SPA  @0 Streptococcus salivarius subsp. thermophilus @2 NS @5 01
C03 02  X  FRE  @0 Transfert génétique @5 05
C03 02  X  ENG  @0 Genetic transfer @5 05
C03 02  X  SPA  @0 Transferencia genética @5 05
C03 03  X  FRE  @0 Génome @5 06
C03 03  X  ENG  @0 Genome @5 06
C03 03  X  SPA  @0 Genoma @5 06
C07 01  X  FRE  @0 Streptococcaceae @2 NS
C07 01  X  ENG  @0 Streptococcaceae @2 NS
C07 01  X  SPA  @0 Streptococcaceae @2 NS
C07 02  X  FRE  @0 Micrococcales @2 NS
C07 02  X  ENG  @0 Micrococcales @2 NS
C07 02  X  SPA  @0 Micrococcales @2 NS
C07 03  X  FRE  @0 Bactérie
C07 03  X  ENG  @0 Bacteria
C07 03  X  SPA  @0 Bacteria
C07 04  X  FRE  @0 Bactérie lactique @5 13
C07 04  X  ENG  @0 Lactic acid bacteria @5 13
C07 04  X  SPA  @0 Bacteria láctica @5 13
N21       @1 122
N44 01      @1 OTO
N82       @1 OTO

Format Inist (serveur)

NO : PASCAL 11-0189733 INIST
ET : In silico prediction of horizontal gene transfer in Streptococcus thermophilus
AU : ENG (Catherine); THIBESSARD (Annabelle); DANIELSEN (Morten); RASMUSSEN (Thomas Bovbjerg); MARI (Jean-François); LEBLOND (Pierre)
AF : Genetique et Microbiologie, UMR UHP-INRA 1128, IFR 110 EFABA, Universite de Lorraine, Faculté des Sciences et Technologies, BP 239/54506 Vandœuvre-lès-Nancy/France (1 aut., 2 aut., 6 aut.); LORIA, UMR CNRS 7503 et INRIA Lorraine, Campus scientifique, BP 70239/54506 Vandœuvre-lès-Nancy/France (1 aut., 5 aut.); Department of Assays, Chr. Hansen A/S/Hørsholm/Danemark (3 aut., 4 aut.); Department of Physiology, innovation, Chr. Hansen A/S/Hørsholm/Danemark (3 aut., 4 aut.)
DT : Publication en série; Niveau analytique
SO : Archives of microbiology; ISSN 0302-8933; Coden AMICCW; Allemagne; Da. 2011; Vol. 193; No. 4; Pp. 287-297; Bibl. 3/4 p.
LA : Anglais
EA : A combination of gene loss and acquisition through horizontal gene transfer (HGT) is thought to drive Streptococcus thermophilus adaptation to its niche, i.e. milk. In this study, we describe an in silico analysis combining a stochastic data mining method, analysis of homologous gene distribution and the identification of features frequently associated with horizontally transferred genes to assess the proportion of the S. thermophilus genome that could originate from HGT. Our mining approach pointed out that about 17.7% of S. thermophilus genes (362 CDSs of 1,915) showed a composition bias; these genes were called 'atypical'. For 22% of them, their functional annotation strongly support their acquisition through HGT and consisted mainly in genes encoding mobile genetic recombinases, exopolysaccharide (EPS) biosynthesis enzymes or resistance mechanisms to bacteriophages. The distribution of the atypical genes in the Firmicutes phylum as well as in S. thermophilus species was sporadic and supported the HGT prediction for more than a half (52%, 189). Among them, 46 were found specific to S. thermophilus. Finally, by combining our method, gene annotation and sequence specific features, new genome islands were suggested in the S. thermophilus genome.
CC : 002A05B15
FD : Streptococcus salivarius subsp. thermophilus; Transfert génétique; Génome
FG : Streptococcaceae; Micrococcales; Bactérie; Bactérie lactique
ED : Streptococcus salivarius subsp. thermophilus; Genetic transfer; Genome
EG : Streptococcaceae; Micrococcales; Bacteria; Lactic acid bacteria
SD : Streptococcus salivarius subsp. thermophilus; Transferencia genética; Genoma
LO : INIST-856.354000194473910060
ID : 11-0189733

Links to Exploration step

Pascal:11-0189733

Le document en format XML

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<s0>A combination of gene loss and acquisition through horizontal gene transfer (HGT) is thought to drive Streptococcus thermophilus adaptation to its niche, i.e. milk. In this study, we describe an in silico analysis combining a stochastic data mining method, analysis of homologous gene distribution and the identification of features frequently associated with horizontally transferred genes to assess the proportion of the S. thermophilus genome that could originate from HGT. Our mining approach pointed out that about 17.7% of S. thermophilus genes (362 CDSs of 1,915) showed a composition bias; these genes were called 'atypical'. For 22% of them, their functional annotation strongly support their acquisition through HGT and consisted mainly in genes encoding mobile genetic recombinases, exopolysaccharide (EPS) biosynthesis enzymes or resistance mechanisms to bacteriophages. The distribution of the atypical genes in the Firmicutes phylum as well as in S. thermophilus species was sporadic and supported the HGT prediction for more than a half (52%, 189). Among them, 46 were found specific to S. thermophilus. Finally, by combining our method, gene annotation and sequence specific features, new genome islands were suggested in the S. thermophilus genome.</s0>
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<fC02 i1="01" i2="X">
<s0>002A05B15</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE">
<s0>Streptococcus salivarius subsp. thermophilus</s0>
<s2>NS</s2>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG">
<s0>Streptococcus salivarius subsp. thermophilus</s0>
<s2>NS</s2>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA">
<s0>Streptococcus salivarius subsp. thermophilus</s0>
<s2>NS</s2>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE">
<s0>Transfert génétique</s0>
<s5>05</s5>
</fC03>
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<s0>Genetic transfer</s0>
<s5>05</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA">
<s0>Transferencia genética</s0>
<s5>05</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE">
<s0>Génome</s0>
<s5>06</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG">
<s0>Genome</s0>
<s5>06</s5>
</fC03>
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<s0>Genoma</s0>
<s5>06</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE">
<s0>Streptococcaceae</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="01" i2="X" l="ENG">
<s0>Streptococcaceae</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="01" i2="X" l="SPA">
<s0>Streptococcaceae</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="02" i2="X" l="FRE">
<s0>Micrococcales</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="02" i2="X" l="ENG">
<s0>Micrococcales</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="02" i2="X" l="SPA">
<s0>Micrococcales</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="03" i2="X" l="FRE">
<s0>Bactérie</s0>
</fC07>
<fC07 i1="03" i2="X" l="ENG">
<s0>Bacteria</s0>
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<fC07 i1="03" i2="X" l="SPA">
<s0>Bacteria</s0>
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<s0>Bactérie lactique</s0>
<s5>13</s5>
</fC07>
<fC07 i1="04" i2="X" l="ENG">
<s0>Lactic acid bacteria</s0>
<s5>13</s5>
</fC07>
<fC07 i1="04" i2="X" l="SPA">
<s0>Bacteria láctica</s0>
<s5>13</s5>
</fC07>
<fN21>
<s1>122</s1>
</fN21>
<fN44 i1="01">
<s1>OTO</s1>
</fN44>
<fN82>
<s1>OTO</s1>
</fN82>
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<server>
<NO>PASCAL 11-0189733 INIST</NO>
<ET>In silico prediction of horizontal gene transfer in Streptococcus thermophilus</ET>
<AU>ENG (Catherine); THIBESSARD (Annabelle); DANIELSEN (Morten); RASMUSSEN (Thomas Bovbjerg); MARI (Jean-François); LEBLOND (Pierre)</AU>
<AF>Genetique et Microbiologie, UMR UHP-INRA 1128, IFR 110 EFABA, Universite de Lorraine, Faculté des Sciences et Technologies, BP 239/54506 Vandœuvre-lès-Nancy/France (1 aut., 2 aut., 6 aut.); LORIA, UMR CNRS 7503 et INRIA Lorraine, Campus scientifique, BP 70239/54506 Vandœuvre-lès-Nancy/France (1 aut., 5 aut.); Department of Assays, Chr. Hansen A/S/Hørsholm/Danemark (3 aut., 4 aut.); Department of Physiology, innovation, Chr. Hansen A/S/Hørsholm/Danemark (3 aut., 4 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Archives of microbiology; ISSN 0302-8933; Coden AMICCW; Allemagne; Da. 2011; Vol. 193; No. 4; Pp. 287-297; Bibl. 3/4 p.</SO>
<LA>Anglais</LA>
<EA>A combination of gene loss and acquisition through horizontal gene transfer (HGT) is thought to drive Streptococcus thermophilus adaptation to its niche, i.e. milk. In this study, we describe an in silico analysis combining a stochastic data mining method, analysis of homologous gene distribution and the identification of features frequently associated with horizontally transferred genes to assess the proportion of the S. thermophilus genome that could originate from HGT. Our mining approach pointed out that about 17.7% of S. thermophilus genes (362 CDSs of 1,915) showed a composition bias; these genes were called 'atypical'. For 22% of them, their functional annotation strongly support their acquisition through HGT and consisted mainly in genes encoding mobile genetic recombinases, exopolysaccharide (EPS) biosynthesis enzymes or resistance mechanisms to bacteriophages. The distribution of the atypical genes in the Firmicutes phylum as well as in S. thermophilus species was sporadic and supported the HGT prediction for more than a half (52%, 189). Among them, 46 were found specific to S. thermophilus. Finally, by combining our method, gene annotation and sequence specific features, new genome islands were suggested in the S. thermophilus genome.</EA>
<CC>002A05B15</CC>
<FD>Streptococcus salivarius subsp. thermophilus; Transfert génétique; Génome</FD>
<FG>Streptococcaceae; Micrococcales; Bactérie; Bactérie lactique</FG>
<ED>Streptococcus salivarius subsp. thermophilus; Genetic transfer; Genome</ED>
<EG>Streptococcaceae; Micrococcales; Bacteria; Lactic acid bacteria</EG>
<SD>Streptococcus salivarius subsp. thermophilus; Transferencia genética; Genoma</SD>
<LO>INIST-856.354000194473910060</LO>
<ID>11-0189733</ID>
</server>
</inist>
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