Comparative genomic and phylogenomic analyses of the Bifidobacteriaceae family
Background Members of the Bifidobacteriaceae family represent both dominant microbial groups that colonize the gut of various animals, especially during the suckling stage of their life, while they also occur as pathogenic bacteria of the urogenital tract. The pan-genome of the genus Bifidobacterium...
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| Published in | BMC genomics Vol. 18; no. 1; pp. 568 - 15 |
|---|---|
| Main Authors | , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
BioMed Central
01.08.2017
BioMed Central Ltd BMC |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1471-2164 1471-2164 |
| DOI | 10.1186/s12864-017-3955-4 |
Cover
| Abstract | Background
Members of the
Bifidobacteriaceae
family represent both dominant microbial groups that colonize the gut of various animals, especially during the suckling stage of their life, while they also occur as pathogenic bacteria of the urogenital tract. The pan-genome of the genus
Bifidobacterium
has been explored in detail in recent years, though genomics of the
Bifidobacteriaceae
family has not yet received much attention. Here, a comparative genomic analyses of 67
Bifidobacteriaceae
(sub) species including all currently recognized genera of this family, i.e.,
Aeriscardovia
,
Alloscardovia
,
Bifidobacterium
,
Bombiscardovia
,
Gardnerella
,
Neoscardovia
,
Parascardovia
,
Pseudoscardovia
and
Scardovia,
was performed. Furthermore, in order to include a representative of each of the 67 (currently recognized) (sub) species belonging to the
Bifidobacteriaceae
family, we sequenced the genomes of an additional 11 species from this family, accomplishing the most extensive comparative genomic analysis performed within this family so far.
Results
Phylogenomics-based analyses revealed the deduced evolutionary pathway followed by each member of the
Bifidobacteriaceae
family, highlighting
Aeriscardovia aeriphila
LMG 21773 as the deepest branch in the evolutionary tree of this family. Furthermore, functional analyses based on genome content unveil connections between a given member of the family, its carbohydrate utilization abilities and its corresponding host. In this context, bifidobacterial (sub) species isolated from humans and monkeys possess the highest relative number of acquired glycosyl hydrolase-encoding genes, probably in order to enhance their metabolic ability to utilize different carbon sources consumed by the host.
Conclusions
Within the
Bifidobacteriaceae
family, genomics of the genus
Bifidobacterium
has been extensively investigated. In contrast, very little is known about the genomics of members of the other eight genera of this family. In this study, we decoded the genome sequences of each member of the
Bifidobacteriaceae
family. Thanks to subsequent comparative genomic and phylogenetic analyses, the deduced pan-genome of this family, as well as the predicted evolutionary development of each taxon belonging to this family was assessed. |
|---|---|
| AbstractList | Background Members of the Bifidobacteriaceae family represent both dominant microbial groups that colonize the gut of various animals, especially during the suckling stage of their life, while they also occur as pathogenic bacteria of the urogenital tract. The pan-genome of the genus Bifidobacterium has been explored in detail in recent years, though genomics of the Bifidobacteriaceae family has not yet received much attention. Here, a comparative genomic analyses of 67 Bifidobacteriaceae (sub) species including all currently recognized genera of this family, i.e., Aeriscardovia, Alloscardovia, Bifidobacterium, Bombiscardovia, Gardnerella, Neoscardovia, Parascardovia, Pseudoscardovia and Scardovia, was performed. Furthermore, in order to include a representative of each of the 67 (currently recognized) (sub) species belonging to the Bifidobacteriaceae family, we sequenced the genomes of an additional 11 species from this family, accomplishing the most extensive comparative genomic analysis performed within this family so far. Results Phylogenomics-based analyses revealed the deduced evolutionary pathway followed by each member of the Bifidobacteriaceae family, highlighting Aeriscardovia aeriphila LMG 21773 as the deepest branch in the evolutionary tree of this family. Furthermore, functional analyses based on genome content unveil connections between a given member of the family, its carbohydrate utilization abilities and its corresponding host. In this context, bifidobacterial (sub) species isolated from humans and monkeys possess the highest relative number of acquired glycosyl hydrolase-encoding genes, probably in order to enhance their metabolic ability to utilize different carbon sources consumed by the host. Conclusions Within the Bifidobacteriaceae family, genomics of the genus Bifidobacterium has been extensively investigated. In contrast, very little is known about the genomics of members of the other eight genera of this family. In this study, we decoded the genome sequences of each member of the Bifidobacteriaceae family. Thanks to subsequent comparative genomic and phylogenetic analyses, the deduced pan-genome of this family, as well as the predicted evolutionary development of each taxon belonging to this family was assessed. Members of the Bifidobacteriaceae family represent both dominant microbial groups that colonize the gut of various animals, especially during the suckling stage of their life, while they also occur as pathogenic bacteria of the urogenital tract. The pan-genome of the genus Bifidobacterium has been explored in detail in recent years, though genomics of the Bifidobacteriaceae family has not yet received much attention. Here, a comparative genomic analyses of 67 Bifidobacteriaceae (sub) species including all currently recognized genera of this family, i.e., Aeriscardovia, Alloscardovia, Bifidobacterium, Bombiscardovia, Gardnerella, Neoscardovia, Parascardovia, Pseudoscardovia and Scardovia, was performed. Furthermore, in order to include a representative of each of the 67 (currently recognized) (sub) species belonging to the Bifidobacteriaceae family, we sequenced the genomes of an additional 11 species from this family, accomplishing the most extensive comparative genomic analysis performed within this family so far. Phylogenomics-based analyses revealed the deduced evolutionary pathway followed by each member of the Bifidobacteriaceae family, highlighting Aeriscardovia aeriphila LMG 21773 as the deepest branch in the evolutionary tree of this family. Furthermore, functional analyses based on genome content unveil connections between a given member of the family, its carbohydrate utilization abilities and its corresponding host. In this context, bifidobacterial (sub) species isolated from humans and monkeys possess the highest relative number of acquired glycosyl hydrolase-encoding genes, probably in order to enhance their metabolic ability to utilize different carbon sources consumed by the host. Within the Bifidobacteriaceae family, genomics of the genus Bifidobacterium has been extensively investigated. In contrast, very little is known about the genomics of members of the other eight genera of this family. In this study, we decoded the genome sequences of each member of the Bifidobacteriaceae family. Thanks to subsequent comparative genomic and phylogenetic analyses, the deduced pan-genome of this family, as well as the predicted evolutionary development of each taxon belonging to this family was assessed. Abstract Background Members of the Bifidobacteriaceae family represent both dominant microbial groups that colonize the gut of various animals, especially during the suckling stage of their life, while they also occur as pathogenic bacteria of the urogenital tract. The pan-genome of the genus Bifidobacterium has been explored in detail in recent years, though genomics of the Bifidobacteriaceae family has not yet received much attention. Here, a comparative genomic analyses of 67 Bifidobacteriaceae (sub) species including all currently recognized genera of this family, i.e., Aeriscardovia, Alloscardovia, Bifidobacterium, Bombiscardovia, Gardnerella, Neoscardovia, Parascardovia, Pseudoscardovia and Scardovia, was performed. Furthermore, in order to include a representative of each of the 67 (currently recognized) (sub) species belonging to the Bifidobacteriaceae family, we sequenced the genomes of an additional 11 species from this family, accomplishing the most extensive comparative genomic analysis performed within this family so far. Results Phylogenomics-based analyses revealed the deduced evolutionary pathway followed by each member of the Bifidobacteriaceae family, highlighting Aeriscardovia aeriphila LMG 21773 as the deepest branch in the evolutionary tree of this family. Furthermore, functional analyses based on genome content unveil connections between a given member of the family, its carbohydrate utilization abilities and its corresponding host. In this context, bifidobacterial (sub) species isolated from humans and monkeys possess the highest relative number of acquired glycosyl hydrolase-encoding genes, probably in order to enhance their metabolic ability to utilize different carbon sources consumed by the host. Conclusions Within the Bifidobacteriaceae family, genomics of the genus Bifidobacterium has been extensively investigated. In contrast, very little is known about the genomics of members of the other eight genera of this family. In this study, we decoded the genome sequences of each member of the Bifidobacteriaceae family. Thanks to subsequent comparative genomic and phylogenetic analyses, the deduced pan-genome of this family, as well as the predicted evolutionary development of each taxon belonging to this family was assessed. Background Members of the Bifidobacteriaceae family represent both dominant microbial groups that colonize the gut of various animals, especially during the suckling stage of their life, while they also occur as pathogenic bacteria of the urogenital tract. The pan-genome of the genus Bifidobacterium has been explored in detail in recent years, though genomics of the Bifidobacteriaceae family has not yet received much attention. Here, a comparative genomic analyses of 67 Bifidobacteriaceae (sub) species including all currently recognized genera of this family, i.e., Aeriscardovia, Alloscardovia, Bifidobacterium, Bombiscardovia, Gardnerella, Neoscardovia, Parascardovia, Pseudoscardovia and Scardovia, was performed. Furthermore, in order to include a representative of each of the 67 (currently recognized) (sub) species belonging to the Bifidobacteriaceae family, we sequenced the genomes of an additional 11 species from this family, accomplishing the most extensive comparative genomic analysis performed within this family so far. Results Phylogenomics-based analyses revealed the deduced evolutionary pathway followed by each member of the Bifidobacteriaceae family, highlighting Aeriscardovia aeriphila LMG 21773 as the deepest branch in the evolutionary tree of this family. Furthermore, functional analyses based on genome content unveil connections between a given member of the family, its carbohydrate utilization abilities and its corresponding host. In this context, bifidobacterial (sub) species isolated from humans and monkeys possess the highest relative number of acquired glycosyl hydrolase-encoding genes, probably in order to enhance their metabolic ability to utilize different carbon sources consumed by the host. Conclusions Within the Bifidobacteriaceae family, genomics of the genus Bifidobacterium has been extensively investigated. In contrast, very little is known about the genomics of members of the other eight genera of this family. In this study, we decoded the genome sequences of each member of the Bifidobacteriaceae family. Thanks to subsequent comparative genomic and phylogenetic analyses, the deduced pan-genome of this family, as well as the predicted evolutionary development of each taxon belonging to this family was assessed. Keywords: Bifidobacteriaceae, Genomics, Phylogenomics, Bifidobacterium, Bifidobacteria Background Members of the Bifidobacteriaceae family represent both dominant microbial groups that colonize the gut of various animals, especially during the suckling stage of their life, while they also occur as pathogenic bacteria of the urogenital tract. The pan-genome of the genus Bifidobacterium has been explored in detail in recent years, though genomics of the Bifidobacteriaceae family has not yet received much attention. Here, a comparative genomic analyses of 67 Bifidobacteriaceae (sub) species including all currently recognized genera of this family, i.e., Aeriscardovia , Alloscardovia , Bifidobacterium , Bombiscardovia , Gardnerella , Neoscardovia , Parascardovia , Pseudoscardovia and Scardovia, was performed. Furthermore, in order to include a representative of each of the 67 (currently recognized) (sub) species belonging to the Bifidobacteriaceae family, we sequenced the genomes of an additional 11 species from this family, accomplishing the most extensive comparative genomic analysis performed within this family so far. Results Phylogenomics-based analyses revealed the deduced evolutionary pathway followed by each member of the Bifidobacteriaceae family, highlighting Aeriscardovia aeriphila LMG 21773 as the deepest branch in the evolutionary tree of this family. Furthermore, functional analyses based on genome content unveil connections between a given member of the family, its carbohydrate utilization abilities and its corresponding host. In this context, bifidobacterial (sub) species isolated from humans and monkeys possess the highest relative number of acquired glycosyl hydrolase-encoding genes, probably in order to enhance their metabolic ability to utilize different carbon sources consumed by the host. Conclusions Within the Bifidobacteriaceae family, genomics of the genus Bifidobacterium has been extensively investigated. In contrast, very little is known about the genomics of members of the other eight genera of this family. In this study, we decoded the genome sequences of each member of the Bifidobacteriaceae family. Thanks to subsequent comparative genomic and phylogenetic analyses, the deduced pan-genome of this family, as well as the predicted evolutionary development of each taxon belonging to this family was assessed. Members of the Bifidobacteriaceae family represent both dominant microbial groups that colonize the gut of various animals, especially during the suckling stage of their life, while they also occur as pathogenic bacteria of the urogenital tract. The pan-genome of the genus Bifidobacterium has been explored in detail in recent years, though genomics of the Bifidobacteriaceae family has not yet received much attention. Here, a comparative genomic analyses of 67 Bifidobacteriaceae (sub) species including all currently recognized genera of this family, i.e., Aeriscardovia, Alloscardovia, Bifidobacterium, Bombiscardovia, Gardnerella, Neoscardovia, Parascardovia, Pseudoscardovia and Scardovia, was performed. Furthermore, in order to include a representative of each of the 67 (currently recognized) (sub) species belonging to the Bifidobacteriaceae family, we sequenced the genomes of an additional 11 species from this family, accomplishing the most extensive comparative genomic analysis performed within this family so far.BACKGROUNDMembers of the Bifidobacteriaceae family represent both dominant microbial groups that colonize the gut of various animals, especially during the suckling stage of their life, while they also occur as pathogenic bacteria of the urogenital tract. The pan-genome of the genus Bifidobacterium has been explored in detail in recent years, though genomics of the Bifidobacteriaceae family has not yet received much attention. Here, a comparative genomic analyses of 67 Bifidobacteriaceae (sub) species including all currently recognized genera of this family, i.e., Aeriscardovia, Alloscardovia, Bifidobacterium, Bombiscardovia, Gardnerella, Neoscardovia, Parascardovia, Pseudoscardovia and Scardovia, was performed. Furthermore, in order to include a representative of each of the 67 (currently recognized) (sub) species belonging to the Bifidobacteriaceae family, we sequenced the genomes of an additional 11 species from this family, accomplishing the most extensive comparative genomic analysis performed within this family so far.Phylogenomics-based analyses revealed the deduced evolutionary pathway followed by each member of the Bifidobacteriaceae family, highlighting Aeriscardovia aeriphila LMG 21773 as the deepest branch in the evolutionary tree of this family. Furthermore, functional analyses based on genome content unveil connections between a given member of the family, its carbohydrate utilization abilities and its corresponding host. In this context, bifidobacterial (sub) species isolated from humans and monkeys possess the highest relative number of acquired glycosyl hydrolase-encoding genes, probably in order to enhance their metabolic ability to utilize different carbon sources consumed by the host.RESULTSPhylogenomics-based analyses revealed the deduced evolutionary pathway followed by each member of the Bifidobacteriaceae family, highlighting Aeriscardovia aeriphila LMG 21773 as the deepest branch in the evolutionary tree of this family. Furthermore, functional analyses based on genome content unveil connections between a given member of the family, its carbohydrate utilization abilities and its corresponding host. In this context, bifidobacterial (sub) species isolated from humans and monkeys possess the highest relative number of acquired glycosyl hydrolase-encoding genes, probably in order to enhance their metabolic ability to utilize different carbon sources consumed by the host.Within the Bifidobacteriaceae family, genomics of the genus Bifidobacterium has been extensively investigated. In contrast, very little is known about the genomics of members of the other eight genera of this family. In this study, we decoded the genome sequences of each member of the Bifidobacteriaceae family. Thanks to subsequent comparative genomic and phylogenetic analyses, the deduced pan-genome of this family, as well as the predicted evolutionary development of each taxon belonging to this family was assessed.CONCLUSIONSWithin the Bifidobacteriaceae family, genomics of the genus Bifidobacterium has been extensively investigated. In contrast, very little is known about the genomics of members of the other eight genera of this family. In this study, we decoded the genome sequences of each member of the Bifidobacteriaceae family. Thanks to subsequent comparative genomic and phylogenetic analyses, the deduced pan-genome of this family, as well as the predicted evolutionary development of each taxon belonging to this family was assessed. Members of the Bifidobacteriaceae family represent both dominant microbial groups that colonize the gut of various animals, especially during the suckling stage of their life, while they also occur as pathogenic bacteria of the urogenital tract. The pan-genome of the genus Bifidobacterium has been explored in detail in recent years, though genomics of the Bifidobacteriaceae family has not yet received much attention. Here, a comparative genomic analyses of 67 Bifidobacteriaceae (sub) species including all currently recognized genera of this family, i.e., Aeriscardovia, Alloscardovia, Bifidobacterium, Bombiscardovia, Gardnerella, Neoscardovia, Parascardovia, Pseudoscardovia and Scardovia, was performed. Furthermore, in order to include a representative of each of the 67 (currently recognized) (sub) species belonging to the Bifidobacteriaceae family, we sequenced the genomes of an additional 11 species from this family, accomplishing the most extensive comparative genomic analysis performed within this family so far. Phylogenomics-based analyses revealed the deduced evolutionary pathway followed by each member of the Bifidobacteriaceae family, highlighting Aeriscardovia aeriphila LMG 21773 as the deepest branch in the evolutionary tree of this family. Furthermore, functional analyses based on genome content unveil connections between a given member of the family, its carbohydrate utilization abilities and its corresponding host. In this context, bifidobacterial (sub) species isolated from humans and monkeys possess the highest relative number of acquired glycosyl hydrolase-encoding genes, probably in order to enhance their metabolic ability to utilize different carbon sources consumed by the host. Within the Bifidobacteriaceae family, genomics of the genus Bifidobacterium has been extensively investigated. In contrast, very little is known about the genomics of members of the other eight genera of this family. In this study, we decoded the genome sequences of each member of the Bifidobacteriaceae family. Thanks to subsequent comparative genomic and phylogenetic analyses, the deduced pan-genome of this family, as well as the predicted evolutionary development of each taxon belonging to this family was assessed. |
| ArticleNumber | 568 |
| Audience | Academic |
| Author | van Sinderen, Douwe Milani, Christian Duranti, Sabrina Turroni, Francesca Modesto, Monica Lugli, Gabriele Andrea Mangifesta, Marta Mattarelli, Paola Ventura, Marco Ferrario, Chiara Mancabelli, Leonardo Jiří, Killer |
| Author_xml | – sequence: 1 givenname: Gabriele Andrea surname: Lugli fullname: Lugli, Gabriele Andrea organization: Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma – sequence: 2 givenname: Christian surname: Milani fullname: Milani, Christian organization: Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma – sequence: 3 givenname: Francesca surname: Turroni fullname: Turroni, Francesca organization: Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma – sequence: 4 givenname: Sabrina surname: Duranti fullname: Duranti, Sabrina organization: Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma – sequence: 5 givenname: Leonardo surname: Mancabelli fullname: Mancabelli, Leonardo organization: Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma – sequence: 6 givenname: Marta surname: Mangifesta fullname: Mangifesta, Marta organization: GenProbio srl – sequence: 7 givenname: Chiara surname: Ferrario fullname: Ferrario, Chiara organization: Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma – sequence: 8 givenname: Monica surname: Modesto fullname: Modesto, Monica organization: Department of Agricultural Sciences, University of Bologna – sequence: 9 givenname: Paola surname: Mattarelli fullname: Mattarelli, Paola organization: Department of Agricultural Sciences, University of Bologna – sequence: 10 givenname: Killer surname: Jiří fullname: Jiří, Killer organization: Department of Microbiology, Nutrition and Dietetics, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Institute of Animal Physiology and Genetics v.v.i., Academy of Sciences of the Czech Republic – sequence: 11 givenname: Douwe surname: van Sinderen fullname: van Sinderen, Douwe organization: APC Microbiome Institute and School of Microbiology, National University of Ireland – sequence: 12 givenname: Marco surname: Ventura fullname: Ventura, Marco email: marco.ventura@unipr.it organization: Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28764658$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1038/nrg.2016.39 10.4161/gmic.2.3.16105 10.1007/s00018-013-1318-0 10.1016/S0168-9525(01)02447-7 10.1099/ijs.0.64812-0 10.1186/s12864-015-1968-4 10.1099/ijs.0.054171-0 10.1093/nar/gkv1239 10.1038/srep23971 10.1128/genomeA.01463-15 10.1093/nar/30.7.1575 10.1128/AEM.00895-08 10.1093/bioinformatics/btr595 10.1073/pnas.0906412106 10.1007/s10482-015-0425-3 10.1099/ijs.0.056937-0 10.1023/B:ANTO.0000047930.11029.ec 10.1093/nar/25.5.0955 10.1371/journal.pone.0044229 10.1371/journal.pgen.1000785 10.1128/AEM.02004-14 10.1101/gr.1917404 10.1007/s12263-010-0206-6 10.1128/AEM.00984-13 10.1186/1471-2164-15-170 10.1128/genomeA.00048-14 10.1093/nar/gkv1248 10.1007/0-387-30741-9 10.1093/bioinformatics/btm404 10.1159/000092237 10.1111/j.1348-0421.2007.tb03964.x 10.1128/JCM.20.4.677-679.1984 10.1093/bioinformatics/16.10.944 10.1093/nar/gkf436 10.1093/bioinformatics/btq315 10.1093/bioinformatics/btr655 10.1093/nar/gkt1103 10.1073/pnas.1011100107 10.1128/CMR.5.3.213 10.1093/nar/gkt1223 10.1099/ijs.0.64233-0 10.1128/AEM.02308-14 10.1111/1462-2920.12012 10.1111/j.1399-302X.2008.00470.x 10.1111/j.1600-0463.2005.apm1130301.x 10.1371/journal.pone.0012411 10.1111/1462-2920.12743 10.1093/femsle/fnw049 10.1016/j.syapm.2012.06.007 10.1093/nar/gkm160 10.1128/AEM.67.6.2760-2765.2001 10.1099/ijs.0.02667-0 10.1093/nar/gkt1178 10.1093/gbe/evw201 10.1186/1471-2105-11-119 10.1038/srep15782 10.1099/00207713-52-3-809 |
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| Keywords | Bifidobacteria Genomics Phylogenomics Bifidobacteriaceae Bifidobacterium |
| Language | English |
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| References | M Okamoto (3955_CR13) 2007; 51 AJ Enright (3955_CR40) 2002; 30 F Turroni (3955_CR7) 2014; 71 M Ventura (3955_CR23) 2009; 5 K Lagesen (3955_CR35) 2007; 35 A Mira (3955_CR60) 2001; 17 TM Lowe (3955_CR34) 1997; 25 M Ventura (3955_CR29) 2001; 67 M Mantzourani (3955_CR8) 2009; 24 JF Strassert (3955_CR4) 2012; 14 F Bottacini (3955_CR27) 2014; 15 V Lombard (3955_CR44) 2014; 42 R Caspi (3955_CR46) 2014; 42 3955_CR31 CJ Yeoman (3955_CR18) 2010; 5 MA Larkin (3955_CR42) 2007; 23 3955_CR30 G Huys (3955_CR12) 2007; 57 J Huerta-Cepas (3955_CR45) 2016; 44 PJ Simpson (3955_CR14) 2004; 54 P Piot (3955_CR16) 1980; 119 W Jian (3955_CR20) 2002; 52 S Duranti (3955_CR26) 2016; 6 K Pokusaeva (3955_CR63) 2011; 6 M Richter (3955_CR43) 2009; 106 C Milani (3955_CR11) 2013; 79 C Milani (3955_CR2) 2014; 80 D Beighton (3955_CR22) 2008; 74 GA Lugli (3955_CR24) 2014; 80 C Milani (3955_CR54) 2015; 5 J Praet (3955_CR49) 2015; 107 F Bottacini (3955_CR10) 2012; 7 K Rutherford (3955_CR38) 2000; 16 M Csuros (3955_CR47) 2010; 26 F Turroni (3955_CR61) 2010; 107 R Albalat (3955_CR59) 2016; 17 U Forsum (3955_CR19) 2005; 113 G Zhang (3955_CR3) 2016; 7 M Modesto (3955_CR57) 2014; 64 Y Zhao (3955_CR39) 2012; 28 P Piot (3955_CR17) 1984; 20 3955_CR5 3955_CR1 F Turroni (3955_CR62) 2011; 2 V Scardovi (3955_CR58) 1965; 15 A O'Callaghan (3955_CR28) 2015; 16 Y Zhao (3955_CR36) 2012; 28 RD Finn (3955_CR37) 2014; 42 S Duranti (3955_CR25) 2015; 17 M Ventura (3955_CR6) 2004; 86 3955_CR50 C Garcia-Aljaro (3955_CR51) 2012; 35 3955_CR52 S Leopold (3955_CR15) 1953; 4 K Katoh (3955_CR41) 2002; 30 D Hyatt (3955_CR33) 2010; 11 B Chevreux (3955_CR32) 2004; 14 L Chen (3955_CR53) 2016; 44 3955_CR48 J Chun (3955_CR55) 2014; 64 BW Catlin (3955_CR9) 1992; 5 M Modesto (3955_CR21) 2006; 40 M Ventura (3955_CR56) 2006; 56 24558236 - Genome Announc. 2014 Feb 20;2(1):null 23028506 - PLoS One. 2012;7(9):e44229 26659692 - Genome Announc. 2015 Dec 10;3(6):null 26578559 - Nucleic Acids Res. 2016 Jan 4;44(D1):D694-7 11917018 - Nucleic Acids Res. 2002 Apr 1;30(7):1575-84 19121067 - Oral Microbiol Immunol. 2009 Feb;24(1):32-7 17158978 - Int J Syst Evol Microbiol. 2006 Dec;56(Pt 12):2783-92 27446019 - Front Microbiol. 2016 Jun 27;7:978 22824582 - Syst Appl Microbiol. 2012 Sep;35(6):374-9 20974960 - Proc Natl Acad Sci U S A. 2010 Nov 9;107(45):19514-9 23116209 - Environ Microbiol. 2012 Dec;14(12):3259-70 26936607 - FEMS Microbiol Lett. 2016 Apr;363(7):null 13015741 - U S Armed Forces Med J. 1953 Feb;4(2):263-6 24288371 - Nucleic Acids Res. 2014 Jan;42(Database issue):D222-30 25753540 - Antonie Van Leeuwenhoek. 2015 May;107(5):1307-13 15539925 - Antonie Van Leeuwenhoek. 2004 Oct;86(3):205-23 11375192 - Appl Environ Microbiol. 2001 Jun;67(6):2760-5 27087500 - Nat Rev Genet. 2016 Jul;17 (7):379-91 27540085 - Genome Biol Evol. 2016 Aug 18;:null 15140833 - Genome Res. 2004 Jun;14(6):1147-59 15799757 - APMIS. 2005 Mar;113(3):153-61 1498765 - Clin Microbiol Rev. 1992 Jul;5(3):213-37 22130594 - Bioinformatics. 2012 Feb 1;28(3):416-8 24505069 - Int J Syst Evol Microbiol. 2014 Feb;64(Pt 2):316-24 12054242 - Int J Syst Evol Microbiol. 2002 May;52(Pt 3):809-12 23516017 - Cell Mol Life Sci. 2014 Jan;71(2):183-203 24581150 - BMC Genomics. 2014 Mar 01;15:170 25107967 - Appl Environ Microbiol. 2014 Oct;80(20):6383-94 21804355 - Gut Microbes. 2011 May-Jun;2(3):183-9 24867172 - Int J Syst Evol Microbiol. 2014 Aug;64(Pt 8):2819-27 26506949 - Sci Rep. 2015 Oct 28;5:15782 11585665 - Trends Genet. 2001 Oct;17(10):589-96 26582926 - Nucleic Acids Res. 2016 Jan 4;44(D1):D286-93 25085493 - Appl Environ Microbiol. 2014 Oct;80(20):6290-302 17452365 - Nucleic Acids Res. 2007;35(9):3100-8 23645200 - Appl Environ Microbiol. 2013 Jul;79(14):4304-15 16707878 - Caries Res. 2006;40(3):271-6 20865041 - PLoS One. 2010 Aug 26;5(8):e12411 27035119 - Sci Rep. 2016 Apr 01;6:23971 24225315 - Nucleic Acids Res. 2014 Jan;42(Database issue):D459-71 26489930 - BMC Genomics. 2015 Oct 21;16:832 20041198 - PLoS Genet. 2009 Dec;5(12):e1000785 20551134 - Bioinformatics. 2010 Aug 1;26(15):1910-2 9023104 - Nucleic Acids Res. 1997 Mar 1;25(5):955-64 24270786 - Nucleic Acids Res. 2014 Jan;42(Database issue):D490-5 18723652 - Appl Environ Microbiol. 2008 Oct;74(20):6457-60 25523018 - Environ Microbiol. 2015 Jul;17(7):2515-31 17704637 - Microbiol Immunol. 2007;51(8):747-54 17625172 - Int J Syst Evol Microbiol. 2007 Jul;57(Pt 7):1442-6 11120685 - Bioinformatics. 2000 Oct;16(10):944-5 6971916 - J Gen Microbiol. 1980 Aug;119(2):373-96 12136088 - Nucleic Acids Res. 2002 Jul 15;30(14):3059-66 21484167 - Genes Nutr. 2011 Aug;6(3):285-306 6333436 - J Clin Microbiol. 1984 Oct;20(4):677-9 19855009 - Proc Natl Acad Sci U S A. 2009 Nov 10;106(45):19126-31 15023951 - Int J Syst Evol Microbiol. 2004 Mar;54(Pt 2):401-6 20211023 - BMC Bioinformatics. 2010 Mar 08;11:119 22039206 - Bioinformatics. 2012 Jan 1;28(1):125-6 17846036 - Bioinformatics. 2007 Nov 1;23(21):2947-8 |
| References_xml | – volume: 17 start-page: 379 year: 2016 ident: 3955_CR59 publication-title: Nat Rev Genet doi: 10.1038/nrg.2016.39 – volume: 2 start-page: 183 year: 2011 ident: 3955_CR62 publication-title: Gut Microbes doi: 10.4161/gmic.2.3.16105 – volume: 119 start-page: 373 year: 1980 ident: 3955_CR16 publication-title: J Gen Microbiol – volume: 71 start-page: 183 year: 2014 ident: 3955_CR7 publication-title: Cell Mol Life Sci doi: 10.1007/s00018-013-1318-0 – volume: 17 start-page: 589 year: 2001 ident: 3955_CR60 publication-title: Trends Genet doi: 10.1016/S0168-9525(01)02447-7 – volume: 57 start-page: 1442 year: 2007 ident: 3955_CR12 publication-title: Int J Syst Evol Microbiol doi: 10.1099/ijs.0.64812-0 – volume: 16 start-page: 832 year: 2015 ident: 3955_CR28 publication-title: BMC Genomics doi: 10.1186/s12864-015-1968-4 – volume: 64 start-page: 316 year: 2014 ident: 3955_CR55 publication-title: Int J Syst Evol Microbiol doi: 10.1099/ijs.0.054171-0 – volume: 44 start-page: D694 year: 2016 ident: 3955_CR53 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkv1239 – volume: 6 start-page: 23971 year: 2016 ident: 3955_CR26 publication-title: Sci Rep doi: 10.1038/srep23971 – ident: 3955_CR50 doi: 10.1128/genomeA.01463-15 – volume: 30 start-page: 1575 year: 2002 ident: 3955_CR40 publication-title: Nucleic Acids Res doi: 10.1093/nar/30.7.1575 – volume: 74 start-page: 6457 year: 2008 ident: 3955_CR22 publication-title: Appl Environ Microbiol doi: 10.1128/AEM.00895-08 – volume: 28 start-page: 125 year: 2012 ident: 3955_CR36 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btr595 – volume: 106 start-page: 19126 year: 2009 ident: 3955_CR43 publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.0906412106 – volume: 107 start-page: 1307 year: 2015 ident: 3955_CR49 publication-title: Antonie Van Leeuwenhoek doi: 10.1007/s10482-015-0425-3 – volume: 64 start-page: 2819 year: 2014 ident: 3955_CR57 publication-title: Int J Syst Evol Microbiol doi: 10.1099/ijs.0.056937-0 – volume: 86 start-page: 205 year: 2004 ident: 3955_CR6 publication-title: Antonie Van Leeuwenhoek doi: 10.1023/B:ANTO.0000047930.11029.ec – volume: 25 start-page: 955 year: 1997 ident: 3955_CR34 publication-title: Nucleic Acids Res doi: 10.1093/nar/25.5.0955 – volume: 7 year: 2012 ident: 3955_CR10 publication-title: PLoS One doi: 10.1371/journal.pone.0044229 – volume: 5 year: 2009 ident: 3955_CR23 publication-title: PLoS Genet doi: 10.1371/journal.pgen.1000785 – volume: 80 start-page: 6383 year: 2014 ident: 3955_CR24 publication-title: Appl Environ Microbiol doi: 10.1128/AEM.02004-14 – volume: 14 start-page: 1147 year: 2004 ident: 3955_CR32 publication-title: Genome Res doi: 10.1101/gr.1917404 – volume: 6 start-page: 285 year: 2011 ident: 3955_CR63 publication-title: Genes Nutr doi: 10.1007/s12263-010-0206-6 – volume: 4 start-page: 263 year: 1953 ident: 3955_CR15 publication-title: U S Armed Forces Med J – volume: 79 start-page: 4304 year: 2013 ident: 3955_CR11 publication-title: Appl Environ Microbiol doi: 10.1128/AEM.00984-13 – volume: 15 start-page: 170 year: 2014 ident: 3955_CR27 publication-title: BMC Genomics doi: 10.1186/1471-2164-15-170 – ident: 3955_CR48 doi: 10.1128/genomeA.00048-14 – volume: 15 start-page: 19 year: 1965 ident: 3955_CR58 publication-title: Annali di Microbiologia ed Enzimologia – volume: 44 start-page: D286 year: 2016 ident: 3955_CR45 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkv1248 – ident: 3955_CR5 doi: 10.1007/0-387-30741-9 – volume: 23 start-page: 2947 year: 2007 ident: 3955_CR42 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btm404 – volume: 40 start-page: 271 year: 2006 ident: 3955_CR21 publication-title: Caries Res doi: 10.1159/000092237 – volume: 51 start-page: 747 year: 2007 ident: 3955_CR13 publication-title: Microbiol Immunol doi: 10.1111/j.1348-0421.2007.tb03964.x – volume: 20 start-page: 677 year: 1984 ident: 3955_CR17 publication-title: J Clin Microbiol doi: 10.1128/JCM.20.4.677-679.1984 – volume: 16 start-page: 944 year: 2000 ident: 3955_CR38 publication-title: Bioinformatics doi: 10.1093/bioinformatics/16.10.944 – volume: 30 start-page: 3059 year: 2002 ident: 3955_CR41 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkf436 – volume: 26 start-page: 1910 year: 2010 ident: 3955_CR47 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq315 – volume: 28 start-page: 416 year: 2012 ident: 3955_CR39 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btr655 – volume: 42 start-page: D459 year: 2014 ident: 3955_CR46 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkt1103 – volume: 107 start-page: 19514 year: 2010 ident: 3955_CR61 publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.1011100107 – volume: 5 start-page: 213 year: 1992 ident: 3955_CR9 publication-title: Clin Microbiol Rev doi: 10.1128/CMR.5.3.213 – volume: 42 start-page: D222 year: 2014 ident: 3955_CR37 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkt1223 – volume: 56 start-page: 2783 year: 2006 ident: 3955_CR56 publication-title: Int J Syst Evol Microbiol doi: 10.1099/ijs.0.64233-0 – volume: 80 start-page: 6290 year: 2014 ident: 3955_CR2 publication-title: Appl Environ Microbiol doi: 10.1128/AEM.02308-14 – ident: 3955_CR30 – volume: 14 start-page: 3259 year: 2012 ident: 3955_CR4 publication-title: Environ Microbiol doi: 10.1111/1462-2920.12012 – volume: 24 start-page: 32 year: 2009 ident: 3955_CR8 publication-title: Oral Microbiol Immunol doi: 10.1111/j.1399-302X.2008.00470.x – volume: 113 start-page: 153 year: 2005 ident: 3955_CR19 publication-title: APMIS doi: 10.1111/j.1600-0463.2005.apm1130301.x – volume: 5 year: 2010 ident: 3955_CR18 publication-title: PLoS One doi: 10.1371/journal.pone.0012411 – volume: 17 start-page: 2515 year: 2015 ident: 3955_CR25 publication-title: Environ Microbiol doi: 10.1111/1462-2920.12743 – ident: 3955_CR31 doi: 10.1093/femsle/fnw049 – volume: 35 start-page: 374 year: 2012 ident: 3955_CR51 publication-title: Syst Appl Microbiol doi: 10.1016/j.syapm.2012.06.007 – volume: 35 start-page: 3100 year: 2007 ident: 3955_CR35 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkm160 – volume: 7 start-page: 978 year: 2016 ident: 3955_CR3 publication-title: Front Microbiol – ident: 3955_CR1 – volume: 67 start-page: 2760 year: 2001 ident: 3955_CR29 publication-title: Appl Environ Microbiol doi: 10.1128/AEM.67.6.2760-2765.2001 – volume: 54 start-page: 401 year: 2004 ident: 3955_CR14 publication-title: Int J Syst Evol Microbiol doi: 10.1099/ijs.0.02667-0 – volume: 42 start-page: D490 year: 2014 ident: 3955_CR44 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkt1178 – ident: 3955_CR52 doi: 10.1093/gbe/evw201 – volume: 11 start-page: 119 year: 2010 ident: 3955_CR33 publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-11-119 – volume: 5 start-page: 15782 year: 2015 ident: 3955_CR54 publication-title: Sci Rep doi: 10.1038/srep15782 – volume: 52 start-page: 809 year: 2002 ident: 3955_CR20 publication-title: Int J Syst Evol Microbiol doi: 10.1099/00207713-52-3-809 – reference: 26506949 - Sci Rep. 2015 Oct 28;5:15782 – reference: 19855009 - Proc Natl Acad Sci U S A. 2009 Nov 10;106(45):19126-31 – reference: 13015741 - U S Armed Forces Med J. 1953 Feb;4(2):263-6 – reference: 24581150 - BMC Genomics. 2014 Mar 01;15:170 – reference: 11585665 - Trends Genet. 2001 Oct;17(10):589-96 – reference: 24270786 - Nucleic Acids Res. 2014 Jan;42(Database issue):D490-5 – reference: 21484167 - Genes Nutr. 2011 Aug;6(3):285-306 – reference: 26936607 - FEMS Microbiol Lett. 2016 Apr;363(7):null – reference: 23116209 - Environ Microbiol. 2012 Dec;14(12):3259-70 – reference: 19121067 - Oral Microbiol Immunol. 2009 Feb;24(1):32-7 – reference: 17625172 - Int J Syst Evol Microbiol. 2007 Jul;57(Pt 7):1442-6 – reference: 24505069 - Int J Syst Evol Microbiol. 2014 Feb;64(Pt 2):316-24 – reference: 20865041 - PLoS One. 2010 Aug 26;5(8):e12411 – reference: 20551134 - Bioinformatics. 2010 Aug 1;26(15):1910-2 – reference: 27446019 - Front Microbiol. 2016 Jun 27;7:978 – reference: 23028506 - PLoS One. 2012;7(9):e44229 – reference: 1498765 - Clin Microbiol Rev. 1992 Jul;5(3):213-37 – reference: 24225315 - Nucleic Acids Res. 2014 Jan;42(Database issue):D459-71 – reference: 15539925 - Antonie Van Leeuwenhoek. 2004 Oct;86(3):205-23 – reference: 6971916 - J Gen Microbiol. 1980 Aug;119(2):373-96 – reference: 27035119 - Sci Rep. 2016 Apr 01;6:23971 – reference: 15023951 - Int J Syst Evol Microbiol. 2004 Mar;54(Pt 2):401-6 – reference: 9023104 - Nucleic Acids Res. 1997 Mar 1;25(5):955-64 – reference: 16707878 - Caries Res. 2006;40(3):271-6 – reference: 20974960 - Proc Natl Acad Sci U S A. 2010 Nov 9;107(45):19514-9 – reference: 27540085 - Genome Biol Evol. 2016 Aug 18;:null – reference: 22130594 - Bioinformatics. 2012 Feb 1;28(3):416-8 – reference: 20041198 - PLoS Genet. 2009 Dec;5(12):e1000785 – reference: 22824582 - Syst Appl Microbiol. 2012 Sep;35(6):374-9 – reference: 21804355 - Gut Microbes. 2011 May-Jun;2(3):183-9 – reference: 25107967 - Appl Environ Microbiol. 2014 Oct;80(20):6383-94 – reference: 23516017 - Cell Mol Life Sci. 2014 Jan;71(2):183-203 – reference: 25523018 - Environ Microbiol. 2015 Jul;17(7):2515-31 – reference: 24288371 - Nucleic Acids Res. 2014 Jan;42(Database issue):D222-30 – reference: 22039206 - Bioinformatics. 2012 Jan 1;28(1):125-6 – reference: 11917018 - Nucleic Acids Res. 2002 Apr 1;30(7):1575-84 – reference: 15799757 - APMIS. 2005 Mar;113(3):153-61 – reference: 26489930 - BMC Genomics. 2015 Oct 21;16:832 – reference: 12136088 - Nucleic Acids Res. 2002 Jul 15;30(14):3059-66 – reference: 17452365 - Nucleic Acids Res. 2007;35(9):3100-8 – reference: 17704637 - Microbiol Immunol. 2007;51(8):747-54 – reference: 26578559 - Nucleic Acids Res. 2016 Jan 4;44(D1):D694-7 – reference: 24867172 - Int J Syst Evol Microbiol. 2014 Aug;64(Pt 8):2819-27 – reference: 18723652 - Appl Environ Microbiol. 2008 Oct;74(20):6457-60 – reference: 12054242 - Int J Syst Evol Microbiol. 2002 May;52(Pt 3):809-12 – reference: 11120685 - Bioinformatics. 2000 Oct;16(10):944-5 – reference: 26659692 - Genome Announc. 2015 Dec 10;3(6):null – reference: 24558236 - Genome Announc. 2014 Feb 20;2(1):null – reference: 25085493 - Appl Environ Microbiol. 2014 Oct;80(20):6290-302 – reference: 17158978 - Int J Syst Evol Microbiol. 2006 Dec;56(Pt 12):2783-92 – reference: 23645200 - Appl Environ Microbiol. 2013 Jul;79(14):4304-15 – reference: 11375192 - Appl Environ Microbiol. 2001 Jun;67(6):2760-5 – reference: 26582926 - Nucleic Acids Res. 2016 Jan 4;44(D1):D286-93 – reference: 20211023 - BMC Bioinformatics. 2010 Mar 08;11:119 – reference: 6333436 - J Clin Microbiol. 1984 Oct;20(4):677-9 – reference: 25753540 - Antonie Van Leeuwenhoek. 2015 May;107(5):1307-13 – reference: 15140833 - Genome Res. 2004 Jun;14(6):1147-59 – reference: 17846036 - Bioinformatics. 2007 Nov 1;23(21):2947-8 – reference: 27087500 - Nat Rev Genet. 2016 Jul;17 (7):379-91 |
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| Snippet | Background
Members of the
Bifidobacteriaceae
family represent both dominant microbial groups that colonize the gut of various animals, especially during the... Members of the Bifidobacteriaceae family represent both dominant microbial groups that colonize the gut of various animals, especially during the suckling... Background Members of the Bifidobacteriaceae family represent both dominant microbial groups that colonize the gut of various animals, especially during the... Abstract Background Members of the Bifidobacteriaceae family represent both dominant microbial groups that colonize the gut of various animals, especially... |
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| SubjectTerms | Animal Genetics and Genomics Babies Bacteria Bees Bifidobacteria Bifidobacteriaceae Bifidobacterium Bifidobacterium - genetics Biomedical and Life Sciences Carbohydrates Carbon sources Comparative and evolutionary genomics Dental caries Deoxyribonucleic acid DNA Evolution Evolution (Biology) Evolution, Molecular Feces Gene sequencing Genera Genes Genetic aspects Genomes Genomic analysis Genomics Glycosidases Glycosyl hydrolase Hydrolase Life Sciences Metabolism Microarrays Microbial Genetics and Genomics Microorganisms Monkeys Phylogenetics Phylogenomics Phylogeny Plant Genetics and Genomics Proteins Proteomics Research Article Software Species Suckling behavior Taxonomy Transfer RNA |
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| Title | Comparative genomic and phylogenomic analyses of the Bifidobacteriaceae family |
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