Abstract:SUMMARY
Since the discovery in 1899 of bifidobacteria as numerically dominant microbes in the feces of breast-fed infants, there have been numerous studies addressing their role in modulating gut microflora as well as their other potential health benefits. Because of this, they are frequently incorporated into foods as probiotic cultures. An understanding of their full interactions with intestinal microbes and the host is needed to scientifically validate any health benefits they may afford. … Show more
“…The guanine-cytosine (G + C) content of the Bifidobacterium strains was in the range of 59-65.29%. The average G + C content for bifidobacteria is 55-67% (Lee and O'Sullivan, 2010), implying that the genes were not acquired recently. The three concatenated protein-coding genes (clpC, PurF, and dnaG) had a better selection potential than the 16S rRNA gene to purify the strains on the basis of a more negative Tajima test statistic (D).…”
Section: Phylogeny On the Basis Of The Protein-coding Gene Sequencesmentioning
The 16S rRNA gene sequence analysis of Bifidobacterium species reveals high interspecies sequence similarity in the range of 87.7-99.5%. This study illustrated the extent of superiority of a multigenic approach, involving protein-coding genes, in comparison to the 16S rRNA gene, to precisely delineate presumptive Bifidobacterium isolates obtained from probiotic milk beverages, culture collections and pharmaceutical probiotic preparations. Oligonucleotide pairs PurF-rev/PurF-uni; RpoCuni/RpoC-rev; DnaB-uni/DnaB-rev; DnaG-uni/DnaG-rev; and ClpC-uni/ClpC-rev amplified housekeeping genes while 27F/ 1492R amplified the 16S rRNA gene of the presumptive bifidobacteria in a polymerase chain reaction. Sequences of 16S rRNA gene and some protein-coding genes effectively identified the isolates. Phylogenetic analysis together with concatenation showed that clpC, purF and dnaG genes had over 8-fold better discriminatory power than the 16S rRNA gene in discriminating between Bifidobacterium isolates. However, phylogenetic analysis involving dnaB and rpoC gene sequences or their concatenated trees showed discrepancies in clustering isolates with designated type strains.
“…The guanine-cytosine (G + C) content of the Bifidobacterium strains was in the range of 59-65.29%. The average G + C content for bifidobacteria is 55-67% (Lee and O'Sullivan, 2010), implying that the genes were not acquired recently. The three concatenated protein-coding genes (clpC, PurF, and dnaG) had a better selection potential than the 16S rRNA gene to purify the strains on the basis of a more negative Tajima test statistic (D).…”
Section: Phylogeny On the Basis Of The Protein-coding Gene Sequencesmentioning
The 16S rRNA gene sequence analysis of Bifidobacterium species reveals high interspecies sequence similarity in the range of 87.7-99.5%. This study illustrated the extent of superiority of a multigenic approach, involving protein-coding genes, in comparison to the 16S rRNA gene, to precisely delineate presumptive Bifidobacterium isolates obtained from probiotic milk beverages, culture collections and pharmaceutical probiotic preparations. Oligonucleotide pairs PurF-rev/PurF-uni; RpoCuni/RpoC-rev; DnaB-uni/DnaB-rev; DnaG-uni/DnaG-rev; and ClpC-uni/ClpC-rev amplified housekeeping genes while 27F/ 1492R amplified the 16S rRNA gene of the presumptive bifidobacteria in a polymerase chain reaction. Sequences of 16S rRNA gene and some protein-coding genes effectively identified the isolates. Phylogenetic analysis together with concatenation showed that clpC, purF and dnaG genes had over 8-fold better discriminatory power than the 16S rRNA gene in discriminating between Bifidobacterium isolates. However, phylogenetic analysis involving dnaB and rpoC gene sequences or their concatenated trees showed discrepancies in clustering isolates with designated type strains.
“…Natural habitats of the members of the genus Bifidobacterium include food, sewage, and oral cavities, but the most important ecological niche of bifidobacteria is the intestinal tract of humans and animals (2). Some strains of bifidobacteria have been associated with beneficial effects on the health status of the host and have thus attracted considerable interest by the food and dairy industries.…”
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confidence: 99%
“…Some strains of bifidobacteria have been associated with beneficial effects on the health status of the host and have thus attracted considerable interest by the food and dairy industries. Some of the beneficial effects that have been claimed to be related to the presence or administration of bifidobacteria are cholesterol reduction, improvement of lactose intolerance, alleviation of constipation, and immunomodulation (2)(3)(4). Two of the more promising targets for bifidobacterial treatments are amelioration of chronic intestinal inflammation (5)(6)(7)(8)(9)(10) and protection against infections with enteric pathogens (11)(12)(13).…”
mentioning
confidence: 99%
“…While some progress has been made in improving transformation efficiencies, directed gene inactivation, and transposon mutagenesis for single strains (19,20), the vast majority of strains of interest remain difficult if not impossible to modify genetically. Moreover, the available vector systems for bifidobacteria have a rather limited host range (i.e., replicons function only in some species of the genus Bifidobacterium but not in others), and expression systems are poorly developed (2,21).…”
Bifidobacteria are an important component of the human gastrointestinal microbiota and are frequently used as probiotics. The genetic inaccessibility and lack of molecular tools commonly used in other bacteria have hampered a detailed analysis of the genetic determinants of bifidobacteria involved in their adaptation to, colonization of, and interaction with the host. In the present study, a range of molecular tools were developed that will allow the closing of some of the gaps in functional analysis of bifidobacteria. A number of promoters were tested for transcriptional activity in Bifidobacterium bifidum S17 using pMDY23, a previously published promoter probe vector. The promoter of the gap gene (P gap ) of B. bifidum S17 yielded the highest promoter activity among the promoters tested. Thus, this promoter and the pMDY23 backbone were used to construct a range of vectors for expression of different fluorescent proteins (FPs). Successful expression of cyan fluorescent protein (CFP), green fluorescent protein (GFP), yellow fluorescent protein (YFP), and mCherry could be shown for three strains representing three different Bifidobacterium spp. The red fluorescent B. bifidum S17/pVG-mCherry was further used to demonstrate application of fluorescent bifidobacteria for adhesion assays and detection in primary human macrophages cultured in vitro. Furthermore, pMGCmCherry was cloned by combining a chloramphenicol resistance marker and expression of the FP mCherry under the control of P gap . The chloramphenicol resistance marker of pMGC-mCherry was successfully used to determine gastrointestinal transit time of B. bifidum S17. Moreover, B. bifidum S17/pMGC-mCherry could be detected in fecal samples of mice after oral administration.
“…In order to unravel the molecular mechanisms responsible for these beneficial effects, several bifidobacterial strains have recently been sequenced (17). However, while the genus Bifidobacterium comprises 31 species with nine subspecies, at present only nine whole-genome sequences of four species and two subspecies are publically available (9).…”
Here, we report on the first completely annotated genome sequence of a Bifidobacterium bifidum strain. B. bifidum S17, isolated from feces of a breast-fed infant, was shown to strongly adhere to intestinal epithelial cells and has potent anti-inflammatory activity in vitro and in vivo. The genome sequence will provide new insights into the biology of this potential probiotic organism and allow for the characterization of the molecular mechanisms underlying its beneficial properties.Bifidobacteria represent an important group of the intestinal microbiota of humans and are believed to be promising candidates for pharmaceutical applications and functional food products due to their ability to exclude intestinal pathogens, strengthen the intestinal barrier, and/or modulate the immune response in the intestine (8). In order to unravel the molecular mechanisms responsible for these beneficial effects, several bifidobacterial strains have recently been sequenced (17). However, while the genus Bifidobacterium comprises 31 species with nine subspecies, at present only nine whole-genome sequences of four species and two subspecies are publically available (9).Here, we present the first fully annotated genome sequence for the species Bifidobacterium bifidum. The strain selected for sequencing (B. bifidum S17) was isolated from feces of a breast-fed infant. B. bifidum S17 was shown to display unusually strong adhesion to intestinal epithelial cells (IECs) (11,12) and elicits a promising anti-inflammatory capacity both in vitro (11,13) and in vivo in a murine model of colitis (11).A long tag paired-end library was constructed from genomic DNA and sequenced using a Roche Genome Sequencer FLX Titanium by Eurofins MWG Operon (Ebersberg, Germany). A total of 372,681 reads with a total of 75,885,699 bp were obtained, giving 34.7-fold coverage. A total of 321,408 reads were marked as mate pairs. Sequences were assembled by gsAssembler (Roche Applied Science) and Staden (15) into a total of 48 contigs distributed over three scaffolds. Remaining inter-and intrascaffold gaps were closed by Sanger sequencing of PCR products. Potential frameshifts were identified using FSfind (7) and verified by Sanger sequencing. Protein-encoding open reading frames (ORFs) were identified by employing Prodigal (5) using standard settings. The resulting translations were used for a BLASTP (1) search against the nonredundant GenBank database. All automatically annotated ORFs were manually corrected using the Artemis software (14) based on the presence of a potential ribosomal binding sites and alignments with homologous ORFs from other organisms, and the start codons were redefined where necessary. Initial automated functional assignment was done using TIGRFam (3), Pfam (2), and Interpro (4), as well as KEGG (6) and COG (16) predictions. Manual corrections of automatically assigned functions were verified on an individual gene-bygene basis. The pSORT software (http://psort.hgc.jp/) was used to predict protein localization. tRNA genes were identified by ...
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