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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" -
Leaf-Associated Shifts in Bacterial and Fungal Communities in Response to Chicken Rearing Under Moso Bamboo Forests in Subtropical China
Article Leaf-Associated Shifts in Bacterial and Fungal Communities in Response to Chicken Rearing Under Moso Bamboo Forests in Subtropical China Xiaoping Zhang 1, Zheke Zhong 1,*, Xu Gai 1, Jiafu Ying 2, Weifen Li 2, Xuhua Du 1, Fangyuan Bian 1 and Chuanbao Yang 1 1 China National Bamboo Research Center, Key Laboratory of Resources and Utilization of Bamboo of State Forestry Administration, Hangzhou 310012, China; [email protected] (X.Z.); [email protected] (X.G.); [email protected] (X.D.); [email protected] (F.B.); [email protected] (C.Y.) 2 College of Animal Sciences, Zhejiang University, Hangzhou 310058, China; [email protected] (J.Y.); wfl[email protected] (W.L.) * Correspondence: [email protected]; Tel.: +86-0571-88860734 Received: 25 January 2019; Accepted: 25 February 2019; Published: 1 March 2019 Abstract: Integrated bamboo-chicken farming (BCF) systems are a traditional agroforestry pattern with large economic benefits in subtropical China. However, little is known regarding the effect of this integration on the bamboo leaf-associated microbiome, which can be very important for disease control and nutrient turnover. In the present study, we compared the leaf-associated bacterial and fungal communities of moso bamboo (Phyllostachys edulis) in a BCF system and an adjacent moso bamboo forest (MBF). The results showed that Cyanobacteria and Ascomycota were the predominant microbial phyla associated with bamboo leaves. Chicken farming under the bamboo forest significantly increased the bacterial and fungal alpha diversity (observed operational taxonomic units (OTUs) and Simpson’s index) associated with bamboo leaves. Principal components analysis (PCoA) further confirmed the shifts in the bacterial and fungal communities caused by chicken farming. -
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. -
Diversity of Understudied Archaeal and Bacterial Populations of Yellowstone National Park: from Genes to Genomes Daniel Colman
University of New Mexico UNM Digital Repository Biology ETDs Electronic Theses and Dissertations 7-1-2015 Diversity of understudied archaeal and bacterial populations of Yellowstone National Park: from genes to genomes Daniel Colman Follow this and additional works at: https://digitalrepository.unm.edu/biol_etds Recommended Citation Colman, Daniel. "Diversity of understudied archaeal and bacterial populations of Yellowstone National Park: from genes to genomes." (2015). https://digitalrepository.unm.edu/biol_etds/18 This Dissertation is brought to you for free and open access by the Electronic Theses and Dissertations at UNM Digital Repository. It has been accepted for inclusion in Biology ETDs by an authorized administrator of UNM Digital Repository. For more information, please contact [email protected]. Daniel Robert Colman Candidate Biology Department This dissertation is approved, and it is acceptable in quality and form for publication: Approved by the Dissertation Committee: Cristina Takacs-Vesbach , Chairperson Robert Sinsabaugh Laura Crossey Diana Northup i Diversity of understudied archaeal and bacterial populations from Yellowstone National Park: from genes to genomes by Daniel Robert Colman B.S. Biology, University of New Mexico, 2009 DISSERTATION Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Biology The University of New Mexico Albuquerque, New Mexico July 2015 ii DEDICATION I would like to dedicate this dissertation to my late grandfather, Kenneth Leo Colman, associate professor of Animal Science in the Wool laboratory at Montana State University, who even very near the end of his earthly tenure, thought it pertinent to quiz my knowledge of oxidized nitrogen compounds. He was a man of great curiosity about the natural world, and to whom I owe an acknowledgement for his legacy of intellectual (and actual) wanderlust. -
Table S1. Bacterial Otus from 16S Rrna
Table S1. Bacterial OTUs from 16S rRNA sequencing analysis including only taxa which were identified to genus level (those OTUs identified as Ambiguous taxa, uncultured bacteria or without genus-level identifications were omitted). OTUs with only a single representative across all samples were also omitted. Taxa are listed from most to least abundant. Pitcher Plant Sample Class Order Family Genus CB1p1 CB1p2 CB1p3 CB1p4 CB5p234 Sp3p2 Sp3p4 Sp3p5 Sp5p23 Sp9p234 sum Gammaproteobacteria Legionellales Coxiellaceae Rickettsiella 1 2 0 1 2 3 60194 497 1038 2 61740 Alphaproteobacteria Rhodospirillales Rhodospirillaceae Azospirillum 686 527 10513 485 11 3 2 7 16494 8201 36929 Sphingobacteriia Sphingobacteriales Sphingobacteriaceae Pedobacter 455 302 873 103 16 19242 279 55 760 1077 23162 Betaproteobacteria Burkholderiales Oxalobacteraceae Duganella 9060 5734 2660 40 1357 280 117 29 129 35 19441 Gammaproteobacteria Pseudomonadales Pseudomonadaceae Pseudomonas 3336 1991 3475 1309 2819 233 1335 1666 3046 218 19428 Betaproteobacteria Burkholderiales Burkholderiaceae Paraburkholderia 0 1 0 1 16051 98 41 140 23 17 16372 Sphingobacteriia Sphingobacteriales Sphingobacteriaceae Mucilaginibacter 77 39 3123 20 2006 324 982 5764 408 21 12764 Gammaproteobacteria Pseudomonadales Moraxellaceae Alkanindiges 9 10 14 7 9632 6 79 518 1183 65 11523 Betaproteobacteria Neisseriales Neisseriaceae Aquitalea 0 0 0 0 1 1577 5715 1471 2141 177 11082 Flavobacteriia Flavobacteriales Flavobacteriaceae Flavobacterium 324 219 8432 533 24 123 7 15 111 324 10112 Alphaproteobacteria -
Bacterial Community Structure in High-Arctic Snow and Freshwater As Revealed by Pyrosequencing of 16S Rrna Genes and Cultivation Annette K
RESEARCH/REVIEW ARTICLE Bacterial community structure in High-Arctic snow and freshwater as revealed by pyrosequencing of 16S rRNA genes and cultivation Annette K. Møller,1 Ditte A. Søborg,1 Waleed Abu Al-Soud,2 Søren J. Sørensen2 & Niels Kroer1 1 Department of Environmental Science, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark 2 Department of Biology, University of Copenhagen, Sølvgade 83H, DK-1307 K Copenhagen, Denmark Keywords Abstract Taxonomic diversity; microbial assemblages; bacterial density; DOC. The bacterial community structures in High-Arctic snow over sea ice and an ice-covered freshwater lake were examined by pyrosequencing of 16S rRNA Correspondence genes and 16S rRNA gene sequencing of cultivated isolates. Both the Niels Kroer, pyrosequence and cultivation data indicated that the phylogenetic composition Department of Environmental Science, of the microbial assemblages was different within the snow layers and between Aarhus University, snow and freshwater. The highest diversity was seen in snow. In the middle Frederiksborgvej 399, and top snow layers, , and dominated, DK-4000 Roskilde, Denmark. Proteobacteria Bacteroidetes Cyanobacteria E-mail: [email protected] although Actinobacteria and Firmicutes were relatively abundant also. High numbers of chloroplasts were also observed. In the deepest snow layer, large percentages of Firmicutes and Fusobacteria were seen. In freshwater, Bacter- oidetes, Actinobacteria and Verrucomicrobia were the most abundant phyla while relatively few Proteobacteria and Cyanobacteria were present. Possibly, light intensity controlled the distribution of the Cyanobacteria and algae in the snow while carbon and nitrogen fixed by these autotrophs in turn fed the heterotrophic bacteria. In the lake, a probable lower light input relative to snow resulted in low numbers of Cyanobacteria and chloroplasts and, hence, limited input of organic carbon and nitrogen to the heterotrophic bacteria. -
Supplementary Information for Microbial Electrochemical Systems Outperform Fixed-Bed Biofilters for Cleaning-Up Urban Wastewater
Electronic Supplementary Material (ESI) for Environmental Science: Water Research & Technology. This journal is © The Royal Society of Chemistry 2016 Supplementary information for Microbial Electrochemical Systems outperform fixed-bed biofilters for cleaning-up urban wastewater AUTHORS: Arantxa Aguirre-Sierraa, Tristano Bacchetti De Gregorisb, Antonio Berná, Juan José Salasc, Carlos Aragónc, Abraham Esteve-Núñezab* Fig.1S Total nitrogen (A), ammonia (B) and nitrate (C) influent and effluent average values of the coke and the gravel biofilters. Error bars represent 95% confidence interval. Fig. 2S Influent and effluent COD (A) and BOD5 (B) average values of the hybrid biofilter and the hybrid polarized biofilter. Error bars represent 95% confidence interval. Fig. 3S Redox potential measured in the coke and the gravel biofilters Fig. 4S Rarefaction curves calculated for each sample based on the OTU computations. Fig. 5S Correspondence analysis biplot of classes’ distribution from pyrosequencing analysis. Fig. 6S. Relative abundance of classes of the category ‘other’ at class level. Table 1S Influent pre-treated wastewater and effluents characteristics. Averages ± SD HRT (d) 4.0 3.4 1.7 0.8 0.5 Influent COD (mg L-1) 246 ± 114 330 ± 107 457 ± 92 318 ± 143 393 ± 101 -1 BOD5 (mg L ) 136 ± 86 235 ± 36 268 ± 81 176 ± 127 213 ± 112 TN (mg L-1) 45.0 ± 17.4 60.6 ± 7.5 57.7 ± 3.9 43.7 ± 16.5 54.8 ± 10.1 -1 NH4-N (mg L ) 32.7 ± 18.7 51.6 ± 6.5 49.0 ± 2.3 36.6 ± 15.9 47.0 ± 8.8 -1 NO3-N (mg L ) 2.3 ± 3.6 1.0 ± 1.6 0.8 ± 0.6 1.5 ± 2.0 0.9 ± 0.6 TP (mg -
Deep Divergence and Rapid Evolutionary Rates in Gut-Associated Acetobacteraceae of Ants Bryan P
Brown and Wernegreen BMC Microbiology (2016) 16:140 DOI 10.1186/s12866-016-0721-8 RESEARCH ARTICLE Open Access Deep divergence and rapid evolutionary rates in gut-associated Acetobacteraceae of ants Bryan P. Brown1,2 and Jennifer J. Wernegreen1,2* Abstract Background: Symbiotic associations between gut microbiota and their animal hosts shape the evolutionary trajectories of both partners. The genomic consequences of these relationships are significantly influenced by a variety of factors, including niche localization, interaction potential, and symbiont transmission mode. In eusocial insect hosts, socially transmitted gut microbiota may represent an intermediate point between free living or environmentally acquired bacteria and those with strict host association and maternal transmission. Results: We characterized the bacterial communities associated with an abundant ant species, Camponotus chromaiodes. While many bacteria had sporadic distributions, some taxa were abundant and persistent within and across ant colonies. Specially, two Acetobacteraceae operational taxonomic units (OTUs; referred to as AAB1 and AAB2) were abundant and widespread across host samples. Dissection experiments confirmed that AAB1 and AAB2 occur in C. chromaiodes gut tracts. We explored the distribution and evolution of these Acetobacteraceae OTUs in more depth. We found that Camponotus hosts representing different species and geographical regions possess close relatives of the Acetobacteraceae OTUs detected in C. chromaiodes. Phylogenetic analysis revealed that AAB1 and AAB2 join other ant associates in a monophyletic clade. This clade consists of Acetobacteraceae from three ant tribes, including a third, basal lineage associated with Attine ants. This ant-specific AAB clade exhibits a significant acceleration of substitution rates at the 16S rDNA gene and elevated AT content. -
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 -
Within-Arctic Horizontal Gene Transfer As a Driver of Convergent Evolution in Distantly Related 2 Microalgae
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.31.454568; this version posted August 2, 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-NC-ND 4.0 International license. 1 Within-Arctic horizontal gene transfer as a driver of convergent evolution in distantly related 2 microalgae 3 Richard G. Dorrell*+1,2, Alan Kuo3*, Zoltan Füssy4, Elisabeth Richardson5,6, Asaf Salamov3, Nikola 4 Zarevski,1,2,7 Nastasia J. Freyria8, Federico M. Ibarbalz1,2,9, Jerry Jenkins3,10, Juan Jose Pierella 5 Karlusich1,2, Andrei Stecca Steindorff3, Robyn E. Edgar8, Lori Handley10, Kathleen Lail3, Anna Lipzen3, 6 Vincent Lombard11, John McFarlane5, Charlotte Nef1,2, Anna M.G. Novák Vanclová1,2, Yi Peng3, Chris 7 Plott10, Marianne Potvin8, Fabio Rocha Jimenez Vieira1,2, Kerrie Barry3, Joel B. Dacks5, Colomban de 8 Vargas2,12, Bernard Henrissat11,13, Eric Pelletier2,14, Jeremy Schmutz3,10, Patrick Wincker2,14, Chris 9 Bowler1,2, Igor V. Grigoriev3,15, and Connie Lovejoy+8 10 11 1 Institut de Biologie de l'ENS (IBENS), Département de Biologie, École Normale Supérieure, CNRS, 12 INSERM, Université PSL, 75005 Paris, France 13 2CNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, 14 FR2022/Tara Oceans GOSEE, 3 rue Michel-Ange, 75016 Paris, France 15 3 US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 16 Cyclotron Road, Berkeley, -
Within-Arctic Horizontal Gene Transfer As a Driver of Convergent Evolution in Distantly Related 1 Microalgae 2 Richard G. Do
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.31.454568; this version posted August 2, 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-NC-ND 4.0 International license. 1 Within-Arctic horizontal gene transfer as a driver of convergent evolution in distantly related 2 microalgae 3 Richard G. Dorrell*+1,2, Alan Kuo3*, Zoltan Füssy4, Elisabeth Richardson5,6, Asaf Salamov3, Nikola 4 Zarevski,1,2,7 Nastasia J. Freyria8, Federico M. Ibarbalz1,2,9, Jerry Jenkins3,10, Juan Jose Pierella 5 Karlusich1,2, Andrei Stecca Steindorff3, Robyn E. Edgar8, Lori Handley10, Kathleen Lail3, Anna Lipzen3, 6 Vincent Lombard11, John McFarlane5, Charlotte Nef1,2, Anna M.G. Novák Vanclová1,2, Yi Peng3, Chris 7 Plott10, Marianne Potvin8, Fabio Rocha Jimenez Vieira1,2, Kerrie Barry3, Joel B. Dacks5, Colomban de 8 Vargas2,12, Bernard Henrissat11,13, Eric Pelletier2,14, Jeremy Schmutz3,10, Patrick Wincker2,14, Chris 9 Bowler1,2, Igor V. Grigoriev3,15, and Connie Lovejoy+8 10 11 1 Institut de Biologie de l'ENS (IBENS), Département de Biologie, École Normale Supérieure, CNRS, 12 INSERM, Université PSL, 75005 Paris, France 13 2CNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, 14 FR2022/Tara Oceans GOSEE, 3 rue Michel-Ange, 75016 Paris, France 15 3 US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 16 Cyclotron Road, Berkeley, -
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).