Potentilla Anserina L. Developmental Changes Affect the Rhizosphere
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The Influence of Probiotics on the Firmicutes/Bacteroidetes Ratio In
microorganisms Review The Influence of Probiotics on the Firmicutes/Bacteroidetes Ratio in the Treatment of Obesity and Inflammatory Bowel disease Spase Stojanov 1,2, Aleš Berlec 1,2 and Borut Štrukelj 1,2,* 1 Faculty of Pharmacy, University of Ljubljana, SI-1000 Ljubljana, Slovenia; [email protected] (S.S.); [email protected] (A.B.) 2 Department of Biotechnology, Jožef Stefan Institute, SI-1000 Ljubljana, Slovenia * Correspondence: borut.strukelj@ffa.uni-lj.si Received: 16 September 2020; Accepted: 31 October 2020; Published: 1 November 2020 Abstract: The two most important bacterial phyla in the gastrointestinal tract, Firmicutes and Bacteroidetes, have gained much attention in recent years. The Firmicutes/Bacteroidetes (F/B) ratio is widely accepted to have an important influence in maintaining normal intestinal homeostasis. Increased or decreased F/B ratio is regarded as dysbiosis, whereby the former is usually observed with obesity, and the latter with inflammatory bowel disease (IBD). Probiotics as live microorganisms can confer health benefits to the host when administered in adequate amounts. There is considerable evidence of their nutritional and immunosuppressive properties including reports that elucidate the association of probiotics with the F/B ratio, obesity, and IBD. Orally administered probiotics can contribute to the restoration of dysbiotic microbiota and to the prevention of obesity or IBD. However, as the effects of different probiotics on the F/B ratio differ, selecting the appropriate species or mixture is crucial. The most commonly tested probiotics for modifying the F/B ratio and treating obesity and IBD are from the genus Lactobacillus. In this paper, we review the effects of probiotics on the F/B ratio that lead to weight loss or immunosuppression. -
Genomics 98 (2011) 370–375
Genomics 98 (2011) 370–375 Contents lists available at ScienceDirect Genomics journal homepage: www.elsevier.com/locate/ygeno Whole-genome comparison clarifies close phylogenetic relationships between the phyla Dictyoglomi and Thermotogae Hiromi Nishida a,⁎, Teruhiko Beppu b, Kenji Ueda b a Agricultural Bioinformatics Research Unit, Graduate School of Agricultural and Life Sciences, University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan b Life Science Research Center, College of Bioresource Sciences, Nihon University, Fujisawa, Japan article info abstract Article history: The anaerobic thermophilic bacterial genus Dictyoglomus is characterized by the ability to produce useful Received 2 June 2011 enzymes such as amylase, mannanase, and xylanase. Despite the significance, the phylogenetic position of Accepted 1 August 2011 Dictyoglomus has not yet been clarified, since it exhibits ambiguous phylogenetic positions in a single gene Available online 7 August 2011 sequence comparison-based analysis. The number of substitutions at the diverging point of Dictyoglomus is insufficient to show the relationships in a single gene comparison-based analysis. Hence, we studied its Keywords: evolutionary trait based on whole-genome comparison. Both gene content and orthologous protein sequence Whole-genome comparison Dictyoglomus comparisons indicated that Dictyoglomus is most closely related to the phylum Thermotogae and it forms a Bacterial systematics monophyletic group with Coprothermobacter proteolyticus (a constituent of the phylum Firmicutes) and Coprothermobacter proteolyticus Thermotogae. Our findings indicate that C. proteolyticus does not belong to the phylum Firmicutes and that the Thermotogae phylum Dictyoglomi is not closely related to either the phylum Firmicutes or Synergistetes but to the phylum Thermotogae. © 2011 Elsevier Inc. -
Bacterial Diversity in the Surface Sediments of the Hypoxic Zone Near
ORIGINAL RESEARCH Bacterial diversity in the surface sediments of the hypoxic zone near the Changjiang Estuary and in the East China Sea Qi Ye, Ying Wu, Zhuoyi Zhu, Xiaona Wang, Zhongqiao Li & Jing Zhang State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China Keywords Abstract Bacteria, Changjiang Estuary, hypoxia, Miseq Illumina sequencing, sediment Changjiang (Yangtze River) Estuary has experienced severe hypoxia since the 1950s. In order to investigate potential ecological functions of key microorgan- Correspondence isms in relation to hypoxia, we performed 16S rRNA-based Illumina Miseq Qi Ye, East China Normal University, State Key sequencing to explore the bacterial diversity in the surface sediments of the Laboratory of Estuarine and Coastal Research, hypoxic zone near the Changjiang Estuary and in the East China Sea (ECS). 3663 North Zhongshan Road, SKLEC Building, Room 419, Shanghai 200062, China. The results showed that numerous Proteobacteria-affiliated sequences in the sedi- Tel: 86-021-52124974; ments of the inner continental shelf were related to both sulfate-reducing and Fax: 86-021- 62546441; sulfur-oxidizing bacteria, suggesting an active sulfur cycle in this area. Many E-mail: [email protected] sequences retrieved from the hypoxic zone were also related to Planctomycetes from two marine upwelling systems, which may be involved in the initial break- Funding Information down of sulfated heteropolysaccharides. Bacteroidetes, which is expected to degrade This study was funded by the Shanghai Pujiang high-molecular-weight organic matter, was abundant in all the studied stations Talent Program (12PJ1403100), the National except for station A8, which was the deepest and possessed the largest grain Natural Science Foundation of China (41276081), the Key Project of Chinese size. -
Cone-Forming Chloroflexi Mats As Analogs of Conical
268 Appendix 2 CONE-FORMING CHLOROFLEXI MATS AS ANALOGS OF CONICAL STROMATOLITE FORMATION WITHOUT CYANOBACTERIA Lewis M. Ward, Woodward W. Fischer, Katsumi Matsuura, and Shawn E. McGlynn. In preparation. Abstract Modern microbial mats provide useful process analogs for understanding the mechanics behind the production of ancient stromatolites. However, studies to date have focused on mats composed predominantly of oxygenic Cyanobacteria (Oxyphotobacteria) and algae, which makes it difficult to assess a unique role of oxygenic photosynthesis in stromatolite morphogenesis, versus different mechanics such as phototaxis and filamentous growth. Here, we characterize Chloroflexi-rich hot spring microbial mats from Nakabusa Onsen, Nagano Prefecture, Japan. This spring supports cone-forming microbial mats in both upstream high-temperature, sulfidic regions dominated by filamentous anoxygenic phototrophic Chloroflexi, as well as downstream Cyanobacteria-dominated mats. These mats produce similar morphologies analogous to conical stromatolites despite metabolically and taxonomically divergent microbial communities as revealed by 16S and shotgun metagenomic sequencing and microscopy. These data illustrate that anoxygenic filamentous microorganisms appear to be capable of producing similar mat morphologies as those seen in Oxyphotobacteria-dominated systems and commonly associated with 269 conical Precambrian stromatolites, and that the processes leading to the development of these features is more closely related with characteristics such as hydrology and cell morphology and motility. Introduction Stromatolites are “attached, lithified sedimentary growth structures, accretionary away from a point or limited surface of initiation” (Grotzinger and Knoll 1999). Behind this description lies a wealth of sedimentary structures with a record dating back over 3.7 billion years that may be one of the earliest indicators of life on Earth (Awramik 1992, Nutman et al. -
Global Metagenomic Survey Reveals a New Bacterial Candidate Phylum in Geothermal Springs
ARTICLE Received 13 Aug 2015 | Accepted 7 Dec 2015 | Published 27 Jan 2016 DOI: 10.1038/ncomms10476 OPEN Global metagenomic survey reveals a new bacterial candidate phylum in geothermal springs Emiley A. Eloe-Fadrosh1, David Paez-Espino1, Jessica Jarett1, Peter F. Dunfield2, Brian P. Hedlund3, Anne E. Dekas4, Stephen E. Grasby5, Allyson L. Brady6, Hailiang Dong7, Brandon R. Briggs8, Wen-Jun Li9, Danielle Goudeau1, Rex Malmstrom1, Amrita Pati1, Jennifer Pett-Ridge4, Edward M. Rubin1,10, Tanja Woyke1, Nikos C. Kyrpides1 & Natalia N. Ivanova1 Analysis of the increasing wealth of metagenomic data collected from diverse environments can lead to the discovery of novel branches on the tree of life. Here we analyse 5.2 Tb of metagenomic data collected globally to discover a novel bacterial phylum (‘Candidatus Kryptonia’) found exclusively in high-temperature pH-neutral geothermal springs. This lineage had remained hidden as a taxonomic ‘blind spot’ because of mismatches in the primers commonly used for ribosomal gene surveys. Genome reconstruction from metagenomic data combined with single-cell genomics results in several high-quality genomes representing four genera from the new phylum. Metabolic reconstruction indicates a heterotrophic lifestyle with conspicuous nutritional deficiencies, suggesting the need for metabolic complementarity with other microbes. Co-occurrence patterns identifies a number of putative partners, including an uncultured Armatimonadetes lineage. The discovery of Kryptonia within previously studied geothermal springs underscores the importance of globally sampled metagenomic data in detection of microbial novelty, and highlights the extraordinary diversity of microbial life still awaiting discovery. 1 Department of Energy Joint Genome Institute, Walnut Creek, California 94598, USA. 2 Department of Biological Sciences, University of Calgary, Calgary, Alberta T2N 1N4, Canada. -
Genomic Analysis of Family UBA6911 (Group 18 Acidobacteria)
bioRxiv preprint doi: https://doi.org/10.1101/2021.04.09.439258; this version posted April 10, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 1 2 Genomic analysis of family UBA6911 (Group 18 3 Acidobacteria) expands the metabolic capacities of the 4 phylum and highlights adaptations to terrestrial habitats. 5 6 Archana Yadav1, Jenna C. Borrelli1, Mostafa S. Elshahed1, and Noha H. Youssef1* 7 8 1Department of Microbiology and Molecular Genetics, Oklahoma State University, Stillwater, 9 OK 10 *Correspondence: Noha H. Youssef: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2021.04.09.439258; this version posted April 10, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 11 Abstract 12 Approaches for recovering and analyzing genomes belonging to novel, hitherto unexplored 13 bacterial lineages have provided invaluable insights into the metabolic capabilities and 14 ecological roles of yet-uncultured taxa. The phylum Acidobacteria is one of the most prevalent 15 and ecologically successful lineages on earth yet, currently, multiple lineages within this phylum 16 remain unexplored. Here, we utilize genomes recovered from Zodletone spring, an anaerobic 17 sulfide and sulfur-rich spring in southwestern Oklahoma, as well as from multiple disparate soil 18 and non-soil habitats, to examine the metabolic capabilities and ecological role of members of 19 the family UBA6911 (group18) Acidobacteria. -
Table S4. Phylogenetic Distribution of Bacterial and Archaea Genomes in Groups A, B, C, D, and X
Table S4. Phylogenetic distribution of bacterial and archaea genomes in groups A, B, C, D, and X. Group A a: Total number of genomes in the taxon b: Number of group A genomes in the taxon c: Percentage of group A genomes in the taxon a b c cellular organisms 5007 2974 59.4 |__ Bacteria 4769 2935 61.5 | |__ Proteobacteria 1854 1570 84.7 | | |__ Gammaproteobacteria 711 631 88.7 | | | |__ Enterobacterales 112 97 86.6 | | | | |__ Enterobacteriaceae 41 32 78.0 | | | | | |__ unclassified Enterobacteriaceae 13 7 53.8 | | | | |__ Erwiniaceae 30 28 93.3 | | | | | |__ Erwinia 10 10 100.0 | | | | | |__ Buchnera 8 8 100.0 | | | | | | |__ Buchnera aphidicola 8 8 100.0 | | | | | |__ Pantoea 8 8 100.0 | | | | |__ Yersiniaceae 14 14 100.0 | | | | | |__ Serratia 8 8 100.0 | | | | |__ Morganellaceae 13 10 76.9 | | | | |__ Pectobacteriaceae 8 8 100.0 | | | |__ Alteromonadales 94 94 100.0 | | | | |__ Alteromonadaceae 34 34 100.0 | | | | | |__ Marinobacter 12 12 100.0 | | | | |__ Shewanellaceae 17 17 100.0 | | | | | |__ Shewanella 17 17 100.0 | | | | |__ Pseudoalteromonadaceae 16 16 100.0 | | | | | |__ Pseudoalteromonas 15 15 100.0 | | | | |__ Idiomarinaceae 9 9 100.0 | | | | | |__ Idiomarina 9 9 100.0 | | | | |__ Colwelliaceae 6 6 100.0 | | | |__ Pseudomonadales 81 81 100.0 | | | | |__ Moraxellaceae 41 41 100.0 | | | | | |__ Acinetobacter 25 25 100.0 | | | | | |__ Psychrobacter 8 8 100.0 | | | | | |__ Moraxella 6 6 100.0 | | | | |__ Pseudomonadaceae 40 40 100.0 | | | | | |__ Pseudomonas 38 38 100.0 | | | |__ Oceanospirillales 73 72 98.6 | | | | |__ Oceanospirillaceae -
Evolution of the 3-Hydroxypropionate Bicycle and Recent Transfer of Anoxygenic Photosynthesis Into the Chloroflexi
Evolution of the 3-hydroxypropionate bicycle and recent transfer of anoxygenic photosynthesis into the Chloroflexi Patrick M. Shiha,b,1, Lewis M. Wardc, and Woodward W. Fischerc,1 aFeedstocks Division, Joint BioEnergy Institute, Emeryville, CA 94608; bEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720; and cDivision of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125 Edited by Bob B. Buchanan, University of California, Berkeley, CA, and approved August 21, 2017 (received for review June 14, 2017) Various lines of evidence from both comparative biology and the provide a hard geological constraint on these analyses, the timing geologic record make it clear that the biochemical machinery for of these evolutionary events remains relative, thus highlighting anoxygenic photosynthesis was present on early Earth and provided the uncertainty in our understanding of when and how anoxy- the evolutionary stock from which oxygenic photosynthesis evolved genic photosynthesis may have originated. ca. 2.3 billion years ago. However, the taxonomic identity of these A less recognized alternative is that anoxygenic photosynthesis early anoxygenic phototrophs is uncertain, including whether or not might have been acquired in modern bacterial clades relatively they remain extant. Several phototrophic bacterial clades are thought recently. This possibility is supported by the observation that to have evolved before oxygenic photosynthesis emerged, including anoxygenic photosynthesis often sits within a derived position in the Chloroflexi, a phylum common across a wide range of modern the phyla in which it is found (3). Moreover, it is increasingly environments. Although Chloroflexi have traditionally been thought being recognized that horizontal gene transfer (HGT) has likely to be an ancient phototrophic lineage, genomics has revealed a much played a major role in the distribution of phototrophy (8–10). -
Coupled Reductive and Oxidative Sulfur Cycling in the Phototrophic Plate of a Meromictic Lake T
Geobiology (2014), 12, 451–468 DOI: 10.1111/gbi.12092 Coupled reductive and oxidative sulfur cycling in the phototrophic plate of a meromictic lake T. L. HAMILTON,1 R. J. BOVEE,2 V. THIEL,3 S. R. SATTIN,2 W. MOHR,2 I. SCHAPERDOTH,1 K. VOGL,3 W. P. GILHOOLY III,4 T. W. LYONS,5 L. P. TOMSHO,3 S. C. SCHUSTER,3,6 J. OVERMANN,7 D. A. BRYANT,3,6,8 A. PEARSON2 AND J. L. MACALADY1 1Department of Geosciences, Penn State Astrobiology Research Center (PSARC), The Pennsylvania State University, University Park, PA, USA 2Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA 3Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA 4Department of Earth Sciences, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA 5Department of Earth Sciences, University of California, Riverside, CA, USA 6Singapore Center for Environmental Life Sciences Engineering, Nanyang Technological University, Nanyang, Singapore 7Leibniz-Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen, Braunschweig, Germany 8Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, USA ABSTRACT Mahoney Lake represents an extreme meromictic model system and is a valuable site for examining the organisms and processes that sustain photic zone euxinia (PZE). A single population of purple sulfur bacte- ria (PSB) living in a dense phototrophic plate in the chemocline is responsible for most of the primary pro- duction in Mahoney Lake. Here, we present metagenomic data from this phototrophic plate – including the genome of the major PSB, as obtained from both a highly enriched culture and from the metagenomic data – as well as evidence for multiple other taxa that contribute to the oxidative sulfur cycle and to sulfate reduction. -
Yu-Chen Ling and John W. Moreau
Microbial Distribution and Activity in a Coastal Acid Sulfate Soil System Introduction: Bioremediation in Yu-Chen Ling and John W. Moreau coastal acid sulfate soil systems Method A Coastal acid sulfate soil (CASS) systems were School of Earth Sciences, University of Melbourne, Melbourne, VIC 3010, Australia formed when people drained the coastal area Microbial distribution controlled by environmental parameters Microbial activity showed two patterns exposing the soil to the air. Drainage makes iron Microbial structures can be grouped into three zones based on the highest similarity between samples (Fig. 4). Abundant populations, such as Deltaproteobacteria, kept constant activity across tidal cycling, whereas rare sulfides oxidize and release acidity to the These three zones were consistent with their geological background (Fig. 5). Zone 1: Organic horizon, had the populations changed activity response to environmental variations. Activity = cDNA/DNA environment, low pH pore water further dissolved lowest pH value. Zone 2: surface tidal zone, was influenced the most by tidal activity. Zone 3: Sulfuric zone, Abundant populations: the heavy metals. The acidity and toxic metals then Method A Deltaproteobacteria Deltaproteobacteria this area got neutralized the most. contaminate coastal and nearby ecosystems and Method B 1.5 cause environmental problems, such as fish kills, 1.5 decreased rice yields, release of greenhouse gases, Chloroflexi and construction damage. In Australia, there is Gammaproteobacteria Gammaproteobacteria about a $10 billion “legacy” from acid sulfate soils, Chloroflexi even though Australia is only occupied by around 1.0 1.0 Cyanobacteria,@ Acidobacteria Acidobacteria Alphaproteobacteria 18% of the global acid sulfate soils. Chloroplast Zetaproteobacteria Rare populations: Alphaproteobacteria Method A log(RNA(%)+1) Zetaproteobacteria log(RNA(%)+1) Method C Method B 0.5 0.5 Cyanobacteria,@ Bacteroidetes Chloroplast Firmicutes Firmicutes Bacteroidetes Planctomycetes Planctomycetes Ac8nobacteria Fig. -
Chapter 11 – PROKARYOTES: Survey of the Bacteria & Archaea
Chapter 11 – PROKARYOTES: Survey of the Bacteria & Archaea 1. The Bacteria 2. The Archaea Important Metabolic Terms Oxygen tolerance/usage: aerobic – requires or can use oxygen (O2) anaerobic – does not require or cannot tolerate O2 Energy usage: autotroph – uses CO2 as a carbon source • photoautotroph – uses light as an energy source • chemoautotroph – gets energy from inorganic mol. heterotroph – requires an organic carbon source • chemoheterotroph – gets energy & carbon from organic molecules …more Important Terms Facultative vs Obligate: facultative – “able to, but not requiring” e.g. • facultative anaerobes – can survive w/ or w/o O2 obligate – “absolutely requires” e.g. • obligate anaerobes – cannot tolerate O2 • obligate intracellular parasite – can only survive within a host cell The 2 Prokaryotic Domains Overview of the Bacterial Domain We will look at examples from several bacterial phyla grouped largely based on rRNA (ribotyping): Gram+ bacteria • Firmicutes (low G+C), Actinobacteria (high G+C) Proteobacteria (Gram- heterotrophs mainly) Gram- nonproteobacteria (photoautotrophs) Chlamydiae (no peptidoglycan in cell walls) Spirochaetes (coiled due to axial filaments) Bacteroides (mostly anaerobic) 1. The Gram+ Bacteria Gram+ Bacteria The Gram+ bacteria are found in 2 different phyla: Firmicutes • low G+C content (usually less than 50%) • many common pathogens Actinobacteria • high G+C content (greater than 50%) • characterized by branching filaments Firmicutes Characteristics associated with this phylum: • low G+C Gram+ bacteria -
Supplementary Information For
1 2 Supplementary Information for 3 Quantifying the impact of treatment history on plasmid-mediated resistance evolution in 4 human gut microbiota 5 Burcu Tepekule, Pia Abel zur Wiesch, Roger Kouyos, Sebastian Bonhoeffer 6 Burcu Tepekule. 7 E-mail: [email protected] 8 This PDF file includes: 9 Figs. S1 to S6 10 Tables S1 to S2 11 References for SI reference citations Burcu Tepekule, Pia Abel zur Wiesch, Roger Kouyos, Sebastian Bonhoeffer 1 of 11 www.pnas.org/cgi/doi/10.1073/pnas.1912188116 12 Model parameters 13 The obtained growth rates are all positive, and consistent with the underlying biological assumptions, as well as the reported 14 growth rates in (1). Values obtained for interaction terms are all negative except one inter-phyla interaction term, which is 15 positive but small in magnitude. Hence, our numerical estimations for the interaction terms are dominated by competition, 16 which is shown to improve gut microbiome stability and permit high diversity of species to coexist (2). Statistics on the 17 parameter estimates are provided in Table S1 and Figures S1 and S2. Figure S1 shows that the phylum Firmicutes and 18 Actinobacteria do not affect the abundances of Proteobacteria and Bacteroidetes strongly due to their low inter-phyla interaction 19 rates. From the perspective of resistance evolution modeling, this indicates that the model can be reduced to two phyla 20 including Proteobacteria and Bacteroidetes, since they are the only two phyla with the resistant variants. Dynamics of this 21 reduced model are presented in Figure S3, where three random treatment courses are applied on the 4-phyla (full) and 2-phyla 22 (reduced) models, and very similar results are observed.