A Potential Nitrous Oxide Sink
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Chemical Structures of Some Examples of Earlier Characterized Antibiotic and Anticancer Specialized
Supplementary figure S1: Chemical structures of some examples of earlier characterized antibiotic and anticancer specialized metabolites: (A) salinilactam, (B) lactocillin, (C) streptochlorin, (D) abyssomicin C and (E) salinosporamide K. Figure S2. Heat map representing hierarchical classification of the SMGCs detected in all the metagenomes in the dataset. Table S1: The sampling locations of each of the sites in the dataset. Sample Sample Bio-project Site depth accession accession Samples Latitude Longitude Site description (m) number in SRA number in SRA AT0050m01B1-4C1 SRS598124 PRJNA193416 Atlantis II water column 50, 200, Water column AT0200m01C1-4D1 SRS598125 21°36'19.0" 38°12'09.0 700 and above the brine N "E (ATII 50, ATII 200, 1500 pool water layers AT0700m01C1-3D1 SRS598128 ATII 700, ATII 1500) AT1500m01B1-3C1 SRS598129 ATBRUCL SRS1029632 PRJNA193416 Atlantis II brine 21°36'19.0" 38°12'09.0 1996– Brine pool water ATBRLCL1-3 SRS1029579 (ATII UCL, ATII INF, N "E 2025 layers ATII LCL) ATBRINP SRS481323 PRJNA219363 ATIID-1a SRS1120041 PRJNA299097 ATIID-1b SRS1120130 ATIID-2 SRS1120133 2168 + Sea sediments Atlantis II - sediments 21°36'19.0" 38°12'09.0 ~3.5 core underlying ATII ATIID-3 SRS1120134 (ATII SDM) N "E length brine pool ATIID-4 SRS1120135 ATIID-5 SRS1120142 ATIID-6 SRS1120143 Discovery Deep brine DDBRINP SRS481325 PRJNA219363 21°17'11.0" 38°17'14.0 2026– Brine pool water N "E 2042 layers (DD INF, DD BR) DDBRINE DD-1 SRS1120158 PRJNA299097 DD-2 SRS1120203 DD-3 SRS1120205 Discovery Deep 2180 + Sea sediments sediments 21°17'11.0" -
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. -
Microbial Life Under Ice: Metagenome Diversity and in Situ Activity Of
bioRxiv preprint doi: https://doi.org/10.1101/324970; this version posted May 17, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Microbial life under ice: metagenome diversity and in situ activity of Verrucomicrobia in seasonally ice-covered lakes Patricia Tran1,2, Arthi Ramachandran1, Ola Khawasik1, Beatrix E. Beisner2,3, Milla Rautio2,4, Yannick Huot,2,5, David A. Walsh1,2 1 Department of Biology, Concordia University, 7141 Sherbrooke St. West, Montreal, Quebec, H4B 1R6, Canada 2 Groupe de recherche interuniversitaire en limnologie et environnement aquatique (GRIL), Montréal, Québec, Canada 3 Département des sciences biologiques, Université du Québec à Montréal, Québec, Canada. 4 Département des sciences fondamentales, Université du Québec à Chicoutimi, Chicoutimi, Québec, Canada 5 Département de géomatique appliquée, Université de Sherbrooke, Sherbrooke, Québec, Canada Corresponding author: David Walsh, Department of Biology, Concordia University, 7141 Sherbrooke St. West Montreal, QC H4B 1R6 Canada 514-848-2424 ext 3477 [email protected] Running title: Sub-ice Verrucomicrobia genomes in Quebec lakes bioRxiv preprint doi: https://doi.org/10.1101/324970; this version posted May 17, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Summary 2 Northern lakes are ice-covered for a large part of the year, yet our understanding 3 of microbial diversity and activity during winter lags behind that of the ice-free period. In 4 this study, we investigated under-ice diversity and metabolism of Verrucomicrobia in 5 seasonally ice-covered lakes in temperate and boreal regions of Quebec, Canada using 6 16S rRNA sequencing, metagenomics and metatranscriptomics. -
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. -
Deconstruction of Lignin: from Enzymes to Microorganisms
molecules Review Deconstruction of Lignin: From Enzymes to Microorganisms Jéssica P. Silva 1, Alonso R. P. Ticona 1 , Pedro R. V. Hamann 1, Betania F. Quirino 2 and Eliane F. Noronha 1,* 1 Enzymology Laboratory, Cell Biology Department, University of Brasilia, 70910-900 Brasília, Brazil; [email protected] (J.P.S.); [email protected] (A.R.P.T.); [email protected] (P.R.V.H.) 2 Genetics and Biotechnology Laboratory, Embrapa-Agroenergy, 70770-901 Brasília, Brazil; [email protected] * Correspondence: [email protected]; Tel.: +55-61-3307-2152 Abstract: Lignocellulosic residues are low-cost abundant feedstocks that can be used for industrial applications. However, their recalcitrance currently makes lignocellulose use limited. In natural environments, microbial communities can completely deconstruct lignocellulose by synergistic action of a set of enzymes and proteins. Microbial degradation of lignin by fungi, important lignin degraders in nature, has been intensively studied. More recently, bacteria have also been described as able to break down lignin, and to have a central role in recycling this plant polymer. Nevertheless, bacterial deconstruction of lignin has not been fully elucidated yet. Direct analysis of environmental samples using metagenomics, metatranscriptomics, and metaproteomics approaches is a powerful strategy to describe/discover enzymes, metabolic pathways, and microorganisms involved in lignin breakdown. Indeed, the use of these complementary techniques leads to a better understanding of the composition, function, and dynamics of microbial communities involved in lignin deconstruction. We focus on omics approaches and their contribution to the discovery of new enzymes and reactions that impact the development of lignin-based bioprocesses. -
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). -
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. -
Distribution of Arsenite-Oxidizing Bacteria and Its Correlation with Environmental Factors in Geothermal Areas of Tengchong, Yunnan, China
E3S Web of Conferences 98, 02002 (2019) https://doi.org/10.1051/e3sconf/20199802002 WRI-16 Distribution of arsenite-oxidizing bacteria and its correlation with environmental factors in geothermal areas of Tengchong, Yunnan, China Ping Li1,*, Dawei Jiang1, and Zhou Jiang1,2 1State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China 2School of Environmental Studies, China University of Geosciences, Wuhan, China Abstract. Arsenic (As) is an ubiquitous constituent in geothermal water. Arsenite (AsIII) is oxidized via microbial processes as the waters equilibrate with oxygen in the geothermal effluent. The distribution of arsenite oxdizing bacteria and its correlation with environment factors were studied in Tengchong geothermal areas of Yunnan, China. A total of 230 aioA clone sequences were obtained and these sequences were affiliated with four phyla: Betaproteobacteria, Alphaproteobacteria, Deinococcus- Thermus and Aquificae. Temperature was negatively correlated with aioA diversity and was the only environment factor that had correlation with diversity index. Betaproteobacteria was mainly distributed in low temperature (T = 28 to 43 oC) and circumneutral or light alkaline (pH = 7 to 9) springs; Alphaproteobacteria was mainly predominant in low pH (pH = 3.3 to 3.6) springs; Deinococcus-Thermus and Aquificae mainly inhabited in high temperature (T=55 to 78 oC) springs with a wide range of pH. Usually, Deinococcus-Thermus was dominant when springs had a pH within 4.0 to 8.0. Aquificae was dominated in springs with pH > 8.0 or pH < 4.0. 1 Diversity of aioA gene A total of 230 aioA gene clone sequences from 10 sample sites were subjected to sequence similarity analysis. -
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. -
Ice-Nucleating Particles Impact the Severity of Precipitations in West Texas
Ice-nucleating particles impact the severity of precipitations in West Texas Hemanth S. K. Vepuri1,*, Cheyanne A. Rodriguez1, Dimitri G. Georgakopoulos4, Dustin Hume2, James Webb2, Greg D. Mayer3, and Naruki Hiranuma1,* 5 1Department of Life, Earth and Environmental Sciences, West Texas A&M University, Canyon, TX, USA 2Office of Information Technology, West Texas A&M University, Canyon, TX, USA 3Department of Environmental Toxicology, Texas Tech University, Lubbock, TX, USA 4Department of Crop Science, Agricultural University of Athens, Athens, Greece 10 *Corresponding authors: [email protected] and [email protected] Supplemental Information 15 S1. Precipitation and Particulate Matter Properties S1.1 Precipitation Categorization In this study, we have segregated our precipitation samples into four different categories, such as (1) snows, (2) hails/thunderstorms, (3) long-lasted rains, and (4) weak rains. For this categorization, we have considered both our observation-based as well as the disdrometer-assigned National Weather Service (NWS) 20 code. Initially, the precipitation samples had been assigned one of the four categories based on our manual observation. In the next step, we have used each NWS code and its occurrence in each precipitation sample to finalize the precipitation category. During this step, a precipitation sample was categorized into snow, only when we identified a snow type NWS code (Snow: S-, S, S+ and/or Snow Grains: SG). Likewise, a precipitation sample was categorized into hail/thunderstorm, only when the cumulative sum of NWS codes for hail was 25 counted more than five times (i.e., A + SP ≥ 5; where A and SP are the codes for soft hail and hail, respectively).