Literature DB >> 21677857

Complete genome sequence of Odoribacter splanchnicus type strain (1651/6).

Markus Göker, Sabine Gronow, Ahmet Zeytun, Matt Nolan, Susan Lucas, Alla Lapidus, Nancy Hammon, Shweta Deshpande, Jan-Fang Cheng, Sam Pitluck, Konstantinos Liolios, Ioanna Pagani, Natalia Ivanova, Konstantinos Mavromatis, Galina Ovchinikova, Amrita Pati, Roxane Tapia, Cliff Han, Lynne Goodwin, Amy Chen, Krishna Palaniappan, Miriam Land, Loren Hauser, Cynthia D Jeffries, Evelyne-Marie Brambilla, Manfred Rohde, John C Detter, Tanja Woyke, James Bristow, Victor Markowitz, Philip Hugenholtz, Jonathan A Eisen, Nikos C Kyrpides, Hans-Peter Klenk.   

Abstract

Odoribacter splanchnicus (Werner et al. 1975) Hardham et al. 2008 is the type species of the genus Odoribacter, which belongs to the family Porphyromonadaceae in the order 'Bacteroidales'. The species is of interest because members of the Odoribacter form an isolated cluster within the Porphyromonadaceae. This is the first completed genome sequence of a member of the genus Odoribacter and the fourth sequence from the family Porphyromonadaceae. The 4,392,288 bp long genome with its 3,672 protein-coding and 74 RNA genes and is a part of the Genomic Encyclopedia of Bacteria and Archaea project.

Entities:  

Keywords:  GEBA; Gram-negative; Porphyromonadaceae; chemoorganotrophic; mesophilic; non-motile; opportunistic pathogen; strictly anaerobic

Year:  2011        PMID: 21677857      PMCID: PMC3111987          DOI: 10.4056/sigs.1714269

Source DB:  PubMed          Journal:  Stand Genomic Sci        ISSN: 1944-3277


Introduction

Strain 1651/6T (= DSM 20712 = ATCC 29572 = JCM 15291) is the type strain of Odoribacter splanchnicus [1,2]. Currently, there are three species placed in the genus Odoribacter [1]. The generic name derives from the Latin noun odor meaning smell and the Neo-Latin word bacter meaning a rod, referring to a rod of (bad) smell [2]. The species epithet is derived from the Greek plural noun splanchna meaning innards, referring to the internal organs as the site of isolation [2]. O. splanchnicus strain 1651/6T was isolated as Bacteroides splanchnicus from a human, abdominal abscess by Werner and Reichertz in 1971 [3] and described in 1975 [4]. The species was first validly published as B. splanchnicus due to a number of shared characteristics with the members of the genus Bacteroides. However, the organism differs from other Bacteroides species in a number of important biochemical characteristics [5] and shows less than 20% relatedness in the homology of 16S rRNA genes compared to the B. fragilis group [6]. In 1994, through further studies of the phylogenetic structure of the bacteroides subgroup it became clear that B. splanchnicus did not belong to the genera Bacteroides, Prevotella or Porphyromonas, but fell just outside these three major clusters [7]. Finally, in 2008, the new genus Odoribacter was described and B. splanchnicus was reclassified as its new type species [2]. Additional isolates of O. splanchnicus have been obtained from stool specimens and surgically removed appendices [2]; in one case of pelviperitonitis the organism was isolated from a blood sample and peritoneal pus [8]. In general, O. splanchnicus can be described as an inhabitant of the human intestine that has the potential to become an opportunistic pathogen. Here we present a summary classification and a set of features for O. splanchnicus 1651/6T, together with the description of the complete genomic sequencing and annotation.

Classification and features

A representative genomic 16S rRNA sequence of strain 1651/6T was compared using NCBI BLAST under default settings (e.g., considering only the high-scoring segment pairs (HSPs) from the best 250 hits) with the most recent release of the Greengenes database [9] and the relative frequencies of taxa and keywords (reduced to their stem [10]) were determined, weighted by BLAST scores. The most frequently occurring genera were Bacteroides (43.5%), Odoribacter (37.9%), Alistipes (15.2%) and Brumimicrobium (3.4%) (21 hits in total). Regarding the two hits to sequences from members of the species, the average identity within HSPs was 99.7%, whereas the average coverage by HSPs was 97.9%. Regarding the two hits to sequences from other members of the genus, the average identity within HSPs was 93.4%, whereas the average coverage by HSPs was 42.5%. The highest-scoring environmental sequence was EF401000 ('human fecal clone SJTU D 04 48'), which showed an identity of 99.8% and an HSP coverage of 98.2%. The most frequently occurring keywords within the labels of environmental samples which yielded hits were 'human' (13.4%), 'biopsi' (7.4%), 'mucos' (7.1%), 'fecal' (6.1%) and 'colon' (5.3%) (229 hits in total). The most frequently occurring keyword within the labels of environmental samples which yielded hits of a higher score than the highest scoring species was 'fecal/human' (50.0%) (27 hits in total). Figure 1 shows the phylogenetic neighborhood of O. splanchnicus in a 16S rRNA based tree. The sequences of the four 16S rRNA gene copies in the genome differ from each other by up to eight nucleotides, and differ by up to nine nucleotides from the previously published 16S rRNA sequence (L16496), which contains nine ambiguous base calls
Figure 1

Phylogenetic tree highlighting the position of O. splanchnicus relative to the other type strains within the family Porphyromonadaceae. The tree was inferred from 1,401 aligned characters [11,12] of the 16S rRNA gene sequence under the maximum likelihood criterion [13]. Rooting was done initially using the midpoint method [14] and then checked for its agreement with the current classification (Table 1). The branches are scaled in terms of the expected number of substitutions per site. Numbers to the right of bifurcations are support values from 250 bootstrap replicates [15] if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [16] are labeled by one asterisk, published genomes by two asterisks [17-19].

Phylogenetic tree highlighting the position of O. splanchnicus relative to the other type strains within the family Porphyromonadaceae. The tree was inferred from 1,401 aligned characters [11,12] of the 16S rRNA gene sequence under the maximum likelihood criterion [13]. Rooting was done initially using the midpoint method [14] and then checked for its agreement with the current classification (Table 1). The branches are scaled in terms of the expected number of substitutions per site. Numbers to the right of bifurcations are support values from 250 bootstrap replicates [15] if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [16] are labeled by one asterisk, published genomes by two asterisks [17-19].
Table 1

Classification and general features of O. splanchnicus 1651/6T according to the MIGS recommendations [20].

MIGS ID   Property   Term  Evidence code
   Current classification   Domain Bacteria  TAS [21]
   Phylum 'Bacteroidetes'  TAS [22]
   Class 'Bacteroidia'  TAS [23,24]
   Order 'Bacteroidales'  TAS [25]
   Family 'Porphyromonadaceae'  TAS [25]
   Genus Odoribacter  TAS [2]
   Species Odoribacter splanchnicus  TAS [2]
   Type strain 1651/6  TAS [4]
   Gram stain   negative  TAS [4]
   Cell shape   rod-shaped  TAS [4]
   Motility   non-motile  TAS [4]
   Sporulation   none  TAS [4]
   Temperature range   mesophile  TAS [4]
   Optimum temperature   37°C  TAS [4]
   Salinity   normal  TAS [4]
MIGS-22   Oxygen requirement   strictly anaerobic  TAS [4]
   Carbon source   carbohydrates; nitrogenous substrates  TAS [4]
   Energy metabolism   chemoorganotroph  TAS [4]
MIGS-6   Habitat   Homo sapiens, gastrointestinal tract  TAS [4]
MIGS-15   Biotic relationship   free-living  NAS
MIGS-14   Pathogenicity   opportunistic pathogen  TAS [4]
   Biosafety level   2  TAS [26]
   Isolation   abdominal abscess  TAS [3]
MIGS-4   Geographic location   Germany  TAS [3]
MIGS-5   Sample collection time   1971 or before  TAS [3]
MIGS-4.1   Latitude   not reported  NAS
MIGS-4.2   Longitude   not reported  NAS
MIGS-4.3   Depth   not reported  NAS
MIGS-4.4   Altitude   not reported  NAS

Evidence codes - IDA: Inferred from Direct Assay (first time in publication); TAS: Traceable Author Statement (i.e., a direct report exists in the literature); NAS: Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from of the Gene Ontology project [27]. If the evidence code is IDA, then the property was directly observed by one of the authors or an expert mentioned in the acknowledgements.

The cells of O. splanchnicus generally have the shape of short rods (0.7 × 1.0-5.0 µm) which occur singly or in lightly associated groups (Figure 2). They can also be pleomorphic. O. splanchnicus is a Gram-negative, non-pigmented and non spore-forming bacterium (Table 1). The organism is described as non-motile and only ten genes associated with motility have been found in the genome (see below). O. splanchnicus grows well at 37°C, is strictly anaerobic, chemoorganotrophic and is able to ferment glucose, fructose, galactose, arabinose, lactose and mannose but does not utilize sucrose, rhamnose, trehalose or salicin [4,5]. The organism does not reduce nitrate but it produces indole from tryptophan and hydrolyzes esculin [28]. O. splanchnicus does not require hemin for growth but is highly stimulated by its presence and does not show hemolysis on blood agar. Growth is enhanced by the addition of 20% bile. Major fermentation products are acetic acid, propionic acid and succinic acid; butyric acid, isovaleric acid and isobutyric acid are produced in small amounts [4,29]. When amino acids are used as carbon sources, only lysine enables butyrate production [4]. It is known that O. splanchnicus possesses highly active pentose phosphate pathway enzymes such as glucose-6-phosphate dehydrogenase and 6-phosphogluconate dehydrogenase as well as active malate dehydrogenase and glutamate dehydrogenase [30]. The organism produces large amounts of hydrogen and H2S. Strain 1651/6T is phosphatase, α- and β-galactosidase, α-fucosidase, N-acetylglucosaminidase and glutamic acid decarboxylase active and urease and catalase inactive [2]. The organism produces arginine arylamidase, leucyl glycine arylamidase, leucine arylamidase, alanine arylamidase (own, unpublished data) and glycylprolyl arylamidase [31]. O. splanchnicus is reported to grow in the presence of aminoglycosides and polymyxins (minimum inhibitory concentration (MIC) value greater than 60 µg/ml); chloramphenicol, penicillins and cephalosporins show bacteriostatic activity (5-40 µg/ml). The organism is susceptible to tetracyclines, lincomycin, clindamycin, rifampicin and erythromycin (MIC values less than 0.5 µg/ml) [4,28].
Figure 2

Scanning electron micrograph of O. splanchnicus 1651/6T

Scanning electron micrograph of O. splanchnicus 1651/6T Evidence codes - IDA: Inferred from Direct Assay (first time in publication); TAS: Traceable Author Statement (i.e., a direct report exists in the literature); NAS: Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from of the Gene Ontology project [27]. If the evidence code is IDA, then the property was directly observed by one of the authors or an expert mentioned in the acknowledgements.

Chemotaxonomy

Little chemotaxonomic information is available for strain 1651/6T. It possesses meso-diaminopimelic acid in its peptidoglycan [30], sphingophospholipids as polar lipids [32] and the sole menaquinone present is MK-9 [30]. The major fatty acids found are iso-C15:0, C14:0, anteiso-C15:0 and C16:03-OH [30].

Genome sequencing and annotation

Genome project history

This organism was selected for sequencing on the basis of its phylogenetic position [33], and is part of the enomic ncyclopedia of acteria and rchaea project [34]. The genome project is deposited in the Genomes On Line Database [16] and the complete genome sequence is deposited in GenBank. Sequencing, finishing and annotation were performed by the DOE Joint Genome Institute (JGI). A summary of the project information is shown in Table 2.
Table 2

Genome sequencing project information

MIGS ID   Property    Term
MIGS-31   Finishing quality    Finished
MIGS-28   Libraries used    Three genomic libraries: one 454 pyrosequence standard library,    one 454 PE library (8 kb insert size), one Illumina library
MIGS-29   Sequencing platforms    Illumina GAii, 454 GS FLX Titanium
MIGS-31.2   Sequencing coverage    521.0 × Illumina; 31.5 × pyrosequence
MIGS-30   Assemblers    Newbler version 2.3-PreRelease-10-21-2009,    Velvet version 0.7.63, phrap version 4.24
MIGS-32   Gene calling method    Prodigal 1.4, GenePRIMP
   INSDC ID    CP002544
   Genbank Date of Release    February 28, 2011
   GOLD ID    Gc01667
   NCBI project ID    43469
   Database: IMG-GEBA    2503754021
MIGS-13   Source material identifier    DSM 20712
   Project relevance    Tree of Life, GEBA

Growth conditions and DNA isolation

O. splanchnicus 1651/6T, DSM 20712, was grown anaerobically in DSMZ medium 110 (Chopped meat medium with carbohydrates) [35] at 37°C. DNA was isolated from 0.5-1 g of cell paste using Jetflex Genomic DNA Purification kit (GENOMED 600100) following the standard protocol as recommended by the manufacturer, but adding 20 µL proteinase K for 45 min lysis at 58ºC. DNA is available through the DNA Bank Network [36].

Genome sequencing and assembly

The genome was sequenced using a combination of Illumina and 454 sequencing platforms. All general aspects of library construction and sequencing can be found at the JGI website [37]. Pyrosequencing reads were assembled using the Newbler assembler version 2.3-PreRelease-10-21-2009 (Roche). The initial Newbler assembly consisting of 57 contigs in eight scaffolds was converted into a phrap [38] assembly by making fake reads from the consensus, to collect the read pairs in the 454 paired end library. Illumina GAii sequencing data (2,241.8 Mb) was assembled with Velvet, version 0.7.63 [39] and the consensus sequences were shredded into 1.5 kb overlapped fake reads and assembled together with the 454 data. The 454 draft assembly was based on 138 Mb 454 draft data and all of the 454 paired end data. Newbler parameters are -consed -a 50 -l 350 -g -m -ml 20. The Phred/Phrap/Consed software package [38] was used for sequence assembly and quality assessment in the subsequent finishing process. After the shotgun stage, reads were assembled with parallel phrap (High Performance Software, LLC). Possible mis-assemblies were corrected with gapResolution [37], Dupfinisher, or sequencing cloned bridging PCR fragments with subcloning or transposon bombing (Epicentre Biotechnologies, Madison, WI) [40]. Gaps between contigs were closed by editing in Consed, by PCR and by Bubble PCR primer walks (J.-F.Chang, unpublished). A total of 65 additional reactions were necessary to close gaps and to raise the quality of the finished sequence. Illumina reads were also used to correct potential base errors and increase consensus quality using a software Polisher developed at JGI [41]. The error rate of the completed genome sequence is less than 1 in 100,000. Together, the combination of the Illumina and 454 sequencing platforms provided 552.5 × coverage of the genome. The final assembly contained 389,415 pyrosequence and 33,128,505 Illumina reads.

Genome annotation

Genes were identified using Prodigal [42] as part of the Oak Ridge National Laboratory genome annotation pipeline, followed by a round of manual curation using the JGI GenePRIMP pipeline [43]. The predicted CDSs were translated and used to search the National Center for Biotechnology Information (NCBI) nonredundant database, UniProt, TIGR-Fam, Pfam, PRIAM, KEGG, COG, and InterPro databases. Additional gene prediction analysis and functional annotation was performed within the Integrated Microbial Genomes - Expert Review (IMG-ER) platform [44].

Genome properties

The genome consists of a 4,392,288 bp long chromosome with a G+C content of 43.4% (Table 3 and Figure 3). Of the 3,746 genes predicted, 3,672 were protein-coding genes, and 74 RNAs; 175 pseudogenes were also identified. The majority of the protein-coding genes (61.2%) were assigned with a putative function while the remaining ones were annotated as hypothetical proteins. The distribution of genes into COGs functional categories is presented in Table 4.
Table 3

Genome Statistics

AttributeValue% of Total
Genome size (bp)4,392,288100.00%
DNA coding region (bp)3,824,55387.07%
DNA G+C content (bp)1,904,43243.36%
Number of replicons1
Extrachromosomal elements0
Total genes3,746100.00%
RNA genes741.98%
rRNA operons4
Protein-coding genes3,67298.02%
Pseudo genes1754.67%
Genes with function prediction2,29161.16%
Genes in paralog clusters73419.59%
Genes assigned to COGs2,25260.12%
Genes assigned Pfam domains2,52367.35%
Genes with signal peptides90924.27%
Genes with transmembrane helices82321.97%
CRISPR repeats1
Figure 3

Graphical circular map of the chromosome. From outside to the center: Genes on forward strand (color by COG categories), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, rRNAs red, other RNAs black), GC content, GC skew.

Table 4

Number of genes associated with the general COG functional categories

Code   value   %age    Description
J   149   5.9    Translation, ribosomal structure and biogenesis
A   0   0.0    RNA processing and modification
K   188   7.5    Transcription
L   161   6.4    Replication, recombination and repair
B   0   0.0    Chromatin structure and dynamics
D   23   0.9    Cell cycle control, cell division, chromosome partitioning
Y   0   0.0    Nuclear structure
V   67   2.7    Defense mechanisms
T   144   5.7    Signal transduction mechanisms
M   215   8.6    Cell wall/membrane/envelope biogenesis
N   10   0.4    Cell motility
Z   0   0.0    Cytoskeleton
W   0   0.0    Extracellular structures
U   48   2.1    Intracellular trafficking, secretion, and vesicular transport
O   134   5.3    Posttranslational modification, protein turnover, chaperones
C   164   6.5    Energy production and conversion
G   111   4.4    Carbohydrate transport and metabolism
E   175   7.0    Amino acid transport and metabolism
F   62   2.5    Nucleotide transport and metabolism
H   126   5.2    Coenzyme transport and metabolism
I   62   2.5    Lipid transport and metabolism
P   216   8.6    Inorganic ion transport and metabolism
Q   24   1.0    Secondary metabolites biosynthesis, transport and catabolism
R   280   11.2    General function prediction only
S   149   5.9    Function unknown
-   1,494   39.9    Not in COGs
Graphical circular map of the chromosome. From outside to the center: Genes on forward strand (color by COG categories), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, rRNAs red, other RNAs black), GC content, GC skew.
  28 in total

1.  Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

Authors:  M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock
Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

2.  Multiple sequence alignment using partial order graphs.

Authors:  Christopher Lee; Catherine Grasso; Mark F Sharlow
Journal:  Bioinformatics       Date:  2002-03       Impact factor: 6.937

3.  GenePRIMP: a gene prediction improvement pipeline for prokaryotic genomes.

Authors:  Amrita Pati; Natalia N Ivanova; Natalia Mikhailova; Galina Ovchinnikova; Sean D Hooper; Athanasios Lykidis; Nikos C Kyrpides
Journal:  Nat Methods       Date:  2010-05-02       Impact factor: 28.547

4.  A rapid bootstrap algorithm for the RAxML Web servers.

Authors:  Alexandros Stamatakis; Paul Hoover; Jacques Rougemont
Journal:  Syst Biol       Date:  2008-10       Impact factor: 15.683

5.  IMG ER: a system for microbial genome annotation expert review and curation.

Authors:  Victor M Markowitz; Konstantinos Mavromatis; Natalia N Ivanova; I-Min A Chen; Ken Chu; Nikos C Kyrpides
Journal:  Bioinformatics       Date:  2009-06-27       Impact factor: 6.937

6.  The DNA bank network: the start from a german initiative.

Authors:  Birgit Gemeinholzer; Gabriele Dröge; Holger Zetzsche; Gerhard Haszprunar; Hans-Peter Klenk; Anton Güntsch; Walter G Berendsohn; Johann-Wolfgang Wägele
Journal:  Biopreserv Biobank       Date:  2011-03       Impact factor: 2.300

7.  [Butyric acid producing bacteroides cultures].

Authors:  H Werner; C Reichertz
Journal:  Zentralbl Bakteriol Orig A       Date:  1971-06

8.  Formation of a dipeptidyl arylamidase by Bacteroides splanchnicus NCTC 10825 with specificities towards glycylprolyl-x and valylalanine-x substrates.

Authors:  S Macfarlane; G T Macfarlane
Journal:  J Med Microbiol       Date:  1997-07       Impact factor: 2.472

9.  Prodigal: prokaryotic gene recognition and translation initiation site identification.

Authors:  Doug Hyatt; Gwo-Liang Chen; Philip F Locascio; Miriam L Land; Frank W Larimer; Loren J Hauser
Journal:  BMC Bioinformatics       Date:  2010-03-08       Impact factor: 3.169

10.  Transfer of Bacteroides splanchnicus to Odoribacter gen. nov. as Odoribacter splanchnicus comb. nov., and description of Odoribacter denticanis sp. nov., isolated from the crevicular spaces of canine periodontitis patients.

Authors:  John M Hardham; Kendall W King; Kimberly Dreier; Jason Wong; Catherine Strietzel; Rob R Eversole; Cornelia Sfintescu; Richard T Evans
Journal:  Int J Syst Evol Microbiol       Date:  2008-01       Impact factor: 2.747

View more
  33 in total

1.  Race-dependent association of sulfidogenic bacteria with colorectal cancer.

Authors:  Cemal Yazici; Patricia G Wolf; Hajwa Kim; Tzu-Wen L Cross; Karin Vermillion; Timothy Carroll; Gaius J Augustus; Ece Mutlu; Lisa Tussing-Humphreys; Carol Braunschweig; Rosa M Xicola; Barbara Jung; Xavier Llor; Nathan A Ellis; H Rex Gaskins
Journal:  Gut       Date:  2017-02-02       Impact factor: 23.059

2.  Deciphering bifidobacterial-mediated metabolic interactions and their impact on gut microbiota by a multi-omics approach.

Authors:  Francesca Turroni; Christian Milani; Sabrina Duranti; Leonardo Mancabelli; Marta Mangifesta; Alice Viappiani; Gabriele Andrea Lugli; Chiara Ferrario; Laura Gioiosa; Alberto Ferrarini; Jia Li; Paola Palanza; Massimo Delledonne; Douwe van Sinderen; Marco Ventura
Journal:  ISME J       Date:  2016-02-09       Impact factor: 10.302

3.  The Role of the Gut Microbiota in the Effects of Early-Life Stress and Dietary Fatty Acids on Later-Life Central and Metabolic Outcomes in Mice.

Authors:  Kitty Reemst; Sebastian Tims; Kit-Yi Yam; Mona Mischke; Jan Knol; Stanley Brul; Lidewij Schipper; Aniko Korosi
Journal:  mSystems       Date:  2022-06-13       Impact factor: 7.324

4.  Role of preoperative gut microbiota on colorectal anastomotic leakage: preliminary results.

Authors:  Silvia Palmisano; Giuseppina Campisciano; Cristiana Iacuzzo; Laura Bonadio; Annalisa Zucca; Davide Cosola; Manola Comar; Nicolò de Manzini
Journal:  Updates Surg       Date:  2020-02-15

5.  An alpha-defensin gene single nucleotide polymorphism modulates the gut microbiota and may alter the risk of acute graft-versus-host disease.

Authors:  Armin Rashidi; Adam Herman; Antonio L C Gomes; Jonathan U Peled; Robert R Jenq; Daniel G Brereton; Christopher Staley; Bruce R Blazar; Daniel J Weisdorf
Journal:  Br J Haematol       Date:  2020-02-21       Impact factor: 6.998

6.  Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment.

Authors:  Xochitl C Morgan; Timothy L Tickle; Harry Sokol; Dirk Gevers; Kathryn L Devaney; Doyle V Ward; Joshua A Reyes; Samir A Shah; Neal LeLeiko; Scott B Snapper; Athos Bousvaros; Joshua Korzenik; Bruce E Sands; Ramnik J Xavier; Curtis Huttenhower
Journal:  Genome Biol       Date:  2012-04-16       Impact factor: 13.583

Review 7.  Fermented Foods, Health and the Gut Microbiome.

Authors:  Natasha K Leeuwendaal; Catherine Stanton; Paul W O'Toole; Tom P Beresford
Journal:  Nutrients       Date:  2022-04-06       Impact factor: 5.717

8.  Excretion of Host DNA in Feces Is Associated with Risk of Clostridium difficile Infection.

Authors:  Caroline Vincent; Sudeep Mehrotra; Vivian G Loo; Ken Dewar; Amee R Manges
Journal:  J Immunol Res       Date:  2015-05-18       Impact factor: 4.818

9.  Diet Supplementation with Fish-Derived Extracts Suppresses Diabetes and Modulates Intestinal Microbiome in a Murine Model of Diet-Induced Obesity.

Authors:  Konstantinos Axarlis; Maria G Daskalaki; Sofia Michailidou; Nikolais Androulaki; Antiopi Tsoureki; Evangelia Mouchtaropoulou; Ourania Kolliniati; Ioanna Lapi; Eirini Dermitzaki; Maria Venihaki; Katerina Kousoulaki; Anagnostis Argiriou; Zouhir El Marsni; Christos Tsatsanis
Journal:  Mar Drugs       Date:  2021-05-11       Impact factor: 5.118

10.  Changes of the human gut microbiome induced by a fermented milk product.

Authors:  Patrick Veiga; Nicolas Pons; Anurag Agrawal; Raish Oozeer; Denis Guyonnet; Rémi Brazeilles; Jean-Michel Faurie; Johan E T van Hylckama Vlieg; Lesley A Houghton; Peter J Whorwell; S Dusko Ehrlich; Sean P Kennedy
Journal:  Sci Rep       Date:  2014-09-11       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.