In silico prediction of horizontal gene transfer in Streptococcus thermophilus
Identifieur interne : 000156 ( PascalFrancis/Corpus ); précédent : 000155; suivant : 000157In silico prediction of horizontal gene transfer in Streptococcus thermophilus
Auteurs : Catherine Eng ; Annabelle Thibessard ; Morten Danielsen ; Thomas Bovbjerg Rasmussen ; Jean-François Mari ; Pierre LeblondSource :
- Archives of microbiology [ 0302-8933 ] ; 2011.
Descripteurs français
- Pascal (Inist)
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.
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Pour connaître la documentation sur le format Inist Standard.
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Format Inist (serveur)
NO : | PASCAL 11-0189733 INIST |
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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 |
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Pascal:11-0189733Le document en format XML
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<front><div type="abstract" xml:lang="en">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.</div>
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<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>
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<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>
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