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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" -
Genomic Insight Into the Host–Endosymbiont Relationship of Endozoicomonas Montiporae CL-33T with Its Coral Host
ORIGINAL RESEARCH published: 08 March 2016 doi: 10.3389/fmicb.2016.00251 Genomic Insight into the Host–Endosymbiont Relationship of Endozoicomonas montiporae CL-33T with its Coral Host Jiun-Yan Ding 1, Jia-Ho Shiu 1, Wen-Ming Chen 2, Yin-Ru Chiang 1 and Sen-Lin Tang 1* 1 Biodiversity Research Center, Academia Sinica, Taipei, Taiwan, 2 Department of Seafood Science, Laboratory of Microbiology, National Kaohsiung Marine University, Kaohsiung, Taiwan The bacterial genus Endozoicomonas was commonly detected in healthy corals in many coral-associated bacteria studies in the past decade. Although, it is likely to be a core member of coral microbiota, little is known about its ecological roles. To decipher potential interactions between bacteria and their coral hosts, we sequenced and investigated the first culturable endozoicomonal bacterium from coral, the E. montiporae CL-33T. Its genome had potential sign of ongoing genome erosion and gene exchange with its Edited by: Rekha Seshadri, host. Testosterone degradation and type III secretion system are commonly present in Department of Energy Joint Genome Endozoicomonas and may have roles to recognize and deliver effectors to their hosts. Institute, USA Moreover, genes of eukaryotic ephrin ligand B2 are present in its genome; presumably, Reviewed by: this bacterium could move into coral cells via endocytosis after binding to coral’s Eph Kathleen M. Morrow, University of New Hampshire, USA receptors. In addition, 7,8-dihydro-8-oxoguanine triphosphatase and isocitrate lyase Jean-Baptiste Raina, are possible type III secretion effectors that might help coral to prevent mitochondrial University of Technology Sydney, Australia dysfunction and promote gluconeogenesis, especially under stress conditions. -
Phylogenetic Rooting Using Minimal Ancestor Deviation
Phylogenetic rooting using minimal ancestor deviation Fernando D. K. Tria1, Giddy Landan1*, Tal Dagan Genomic Microbiology Group, Institute of General Microbiology, Kiel University, Kiel, Germany 1 Equally contributed. * Corresponding author: [email protected] This preprint PDF is the revised manuscript as submitted to Nature Ecology & Evolution on 30-Mar-2017. It includes both the main text and the supplementary information. The final version published in Nature Ecology & Evolution on 19-Jun-2017 (and submitted on 08-May-2017), is here: https://www.nature.com/articles/s41559-017-0193 Readers without subscription to NatE&E can see a read-only (no save or print) version here: http://rdcu.be/tywU The main difference between the versions is that the ‘Detailed Algorithm’ section is part of the main text 'Methods' section in the NatE&E final version, but is part of the supplementary information of this preprint version. Be sure to page beyond the references to see it. 1 Abstract Ancestor-descendent relations play a cardinal role in evolutionary theory. Those relatio ns are determined by rooting phylogenetic trees. Existing rooting methods are hampered by evolutionary rate heterogeneity or the unavailability of auxiliary phylogenetic information. We present a novel rooting approach, the minimal ancestor deviation (MAD) method, which embraces heterotachy by utilizing all pairwise topological and metric information in unrooted trees. We demonstrate the method in comparison to existing rooting methods by the analysis of phylogenies from eukaryotes and prokaryotes. MAD correctly recovers the kno wn root of eukaryotes and uncovers evidence for cyanobacteria origins in the ocean. MAD is more robust and co nsistent than existing methods, provides measures of the root inference quality, and is applicable to any tree with branch lengths. -
Contrasting Environmental Preferences of Photosynthetic and Non-Photosynthetic Soil Cyanobacteria Across the Globe
Received: 31 October 2019 | Revised: 8 July 2020 | Accepted: 20 July 2020 DOI: 10.1111/geb.13173 RESEARCH PAPER Contrasting environmental preferences of photosynthetic and non-photosynthetic soil cyanobacteria across the globe Concha Cano-Díaz1 | Fernando T. Maestre2,3 | David J. Eldridge4 | Brajesh K. Singh5,6 | Richard D. Bardgett7 | Noah Fierer8,9 | Manuel Delgado-Baquerizo10 1Departamento de Biología, Geología, Física y Química Inorgánica, Escuela Superior de Ciencias Experimentales y Tecnología, Universidad Rey Juan Carlos, Móstoles, 28933, Spain 2Instituto Multidisciplinar para el Estudio del Medio “Ramón Margalef”, Universidad de Alicante, Edificio Nuevos Institutos, Carretera de San Vicente del Raspeig s/n, San Vicente del Raspeig, 03690, Spain 3Departamento de Ecología, Universidad de Alicante, Carretera de San Vicente del Raspeig s/n, San Vicente del Raspeig, 03690, Spain 4Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, Australia 5Global Centre for Land-Based Innovation, University of Western Sydney, Penrith, New South Wales, Australia 6Hawkesbury Institute for the Environment, University of Western Sydney, Penrith, New South Wales, Australia 7Department of Earth and Environmental Sciences, The University of Manchester, Manchester, UK 8Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA 9Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA 10Departamento de Sistemas Físicos, Químicos y Naturales, Universidad Pablo de Olavide, Sevilla, 41013, Spain Correspondence Concha Cano-Díaz, Departamento de Abstract Biología, Geología, Física y Química Aim: Cyanobacteria have shaped the history of life on Earth and continue to play Inorgánica, Escuela Superior de Ciencias Experimentales y Tecnología, Universidad important roles as carbon and nitrogen fixers in terrestrial ecosystems. -
Motiliproteus Sediminis Gen. Nov., Sp. Nov., Isolated from Coastal Sediment
Antonie van Leeuwenhoek (2014) 106:615–621 DOI 10.1007/s10482-014-0232-2 ORIGINAL PAPER Motiliproteus sediminis gen. nov., sp. nov., isolated from coastal sediment Zong-Jie Wang • Zhi-Hong Xie • Chao Wang • Zong-Jun Du • Guan-Jun Chen Received: 3 April 2014 / Accepted: 4 July 2014 / Published online: 20 July 2014 Ó Springer International Publishing Switzerland 2014 Abstract A novel Gram-stain-negative, rod-to- demonstrated that the novel isolate was 93.3 % similar spiral-shaped, oxidase- and catalase- positive and to the type strain of Neptunomonas antarctica, 93.2 % facultatively aerobic bacterium, designated HS6T, was to Neptunomonas japonicum and 93.1 % to Marino- isolated from marine sediment of Yellow Sea, China. bacterium rhizophilum, the closest cultivated rela- It can reduce nitrate to nitrite and grow well in marine tives. The polar lipid profile of the novel strain broth 2216 (MB, Hope Biol-Technology Co., Ltd) consisted of phosphatidylethanolamine, phosphatidyl- with an optimal temperature for growth of 30–33 °C glycerol and some other unknown lipids. Major (range 12–45 °C) and in the presence of 2–3 % (w/v) cellular fatty acids were summed feature 3 (C16:1 NaCl (range 0.5–7 %, w/v). The pH range for growth x7c/iso-C15:0 2-OH), C18:1 x7c and C16:0 and the main was pH 6.2–9.0, with an optimum at 6.5–7.0. Phylo- respiratory quinone was Q-8. The DNA G?C content genetic analysis based on 16S rRNA gene sequences of strain HS6T was 61.2 mol %. Based on the phylogenetic, physiological and biochemical charac- teristics, strain HS6T represents a novel genus and The GenBank accession number for the 16S rRNA gene T species and the name Motiliproteus sediminis gen. -
Oil Type and Temperature Dependent Biodegradation Dynamics
Ribicic et al. BMC Microbiology (2018) 18:83 https://doi.org/10.1186/s12866-018-1221-9 RESEARCH ARTICLE Open Access Oil type and temperature dependent biodegradation dynamics - Combining chemical and microbial community data through multivariate analysis Deni Ribicic1,2* , Kelly Marie McFarlin1, Roman Netzer1, Odd Gunnar Brakstad1, Anika Winkler3, Mimmi Throne-Holst1 and Trond Røvik Størseth1 Abstract Background: This study investigates a comparative multivariate approach for studying the biodegradation of chemically dispersed oil. The rationale for this approach lies in the inherent complexity of the data and challenges associated with comparing multiple experiments with inconsistent sampling points, with respect to inferring correlations and visualizing multiple datasets with numerous variables. We aim to identify novel correlations among microbial community composition, the chemical change of individual petroleum hydrocarbons, oil type and temperature by creating modelled datasets from inconsistent sampling time points. Four different incubation experiments were conducted with freshly collected Norwegian seawater and either Grane and Troll oil dispersed with Corexit 9500. Incubations were conducted at two different temperatures (5 °C and 13 °C) over a period of 64 days. Results: PCA analysis of modelled chemical datasets and calculated half-lives revealed differences in the biodegradation of individual hydrocarbons among temperatures and oil types. At 5 °C, most n-alkanes biodegraded faster in heavy Grane oil compared to light Troll oil. PCA analysis of modelled microbial community datasets reveal differences between temperature and oil type, especially at low temperature. For both oils, Colwelliaceae and Oceanospirillaceae were more prominent in the colder incubation (5 °C) than the warmer (13 °C). Overall, Colwelliaceae, Oceanospirillaceae, Flavobacteriaceae, Rhodobacteraceae, Alteromonadaceae and Piscirickettsiaceae consistently dominated the microbial community at both temperatures and in both oil types. -
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 Bacterial Communities in the Wheat Crop Rhizosphere
bs_bs_banner Environmental Microbiology (2014) doi:10.1111/1462-2920.12452 Evolution of bacterial communities in the wheat crop rhizosphere Suzanne Donn, John A. Kirkegaard, Geetha Perera, per year, yet need to lift to at least 1.5% per year by 2050 Alan E. Richardson and Michelle Watt* to avoid food price increases (Fischer and Edmeades, CSIRO Plant Industry, GPO Box 1600, Canberra, ACT 2010). Intensive cereal systems, including wheat following 2601, Australia. wheat rotations, dominate many global food production systems and yields have been declining in these systems, often due to undiagnosed soil biological causes (Lobell Summary et al., 2009). Developing a predictive understanding of the The gap between current average global wheat yields links between soil biology, agronomy and crop perfor- and that achievable through best agronomic manage- mance would be a first step towards improving productivity ment and crop genetics is large. This is notable in of intensive cereals, and would have a major impact on intensive wheat rotations which are widely used. global food production (Cassman, 1999). Expectations are that this gap can be reduced by Globally, expectations are high that soil biology can be manipulating soil processes, especially those that manipulated through crop management and genetics involve microbial ecology. Cross-year analysis of the to increase yields in agricultural production systems soil microbiome in an intensive wheat cropping (Morrissey et al., 2004; Welbaum et al., 2004). Rhizobial system revealed that rhizosphere bacteria changed associations with legumes for N2-fixation, crop species much more than the bulk soil community. Dominant rotation for pathogen control and mycorrhizal associations factors influencing populations included binding to are obvious examples that have had clear productivity roots, plant age, site and planting sequence. -
The Gut Microbiome of the Sea Urchin, Lytechinus Variegatus, from Its Natural Habitat Demonstrates Selective Attributes of Micro
FEMS Microbiology Ecology, 92, 2016, fiw146 doi: 10.1093/femsec/fiw146 Advance Access Publication Date: 1 July 2016 Research Article RESEARCH ARTICLE The gut microbiome of the sea urchin, Lytechinus variegatus, from its natural habitat demonstrates selective attributes of microbial taxa and predictive metabolic profiles Joseph A. Hakim1,†, Hyunmin Koo1,†, Ranjit Kumar2, Elliot J. Lefkowitz2,3, Casey D. Morrow4, Mickie L. Powell1, Stephen A. Watts1,∗ and Asim K. Bej1,∗ 1Department of Biology, University of Alabama at Birmingham, 1300 University Blvd, Birmingham, AL 35294, USA, 2Center for Clinical and Translational Sciences, University of Alabama at Birmingham, Birmingham, AL 35294, USA, 3Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA and 4Department of Cell, Developmental and Integrative Biology, University of Alabama at Birmingham, 1918 University Blvd., Birmingham, AL 35294, USA ∗Corresponding authors: Department of Biology, University of Alabama at Birmingham, 1300 University Blvd, CH464, Birmingham, AL 35294-1170, USA. Tel: +1-(205)-934-8308; Fax: +1-(205)-975-6097; E-mail: [email protected]; [email protected] †These authors contributed equally to this work. One sentence summary: This study describes the distribution of microbiota, and their predicted functional attributes, in the gut ecosystem of sea urchin, Lytechinus variegatus, from its natural habitat of Gulf of Mexico. Editor: Julian Marchesi ABSTRACT In this paper, we describe the microbial composition and their predictive metabolic profile in the sea urchin Lytechinus variegatus gut ecosystem along with samples from its habitat by using NextGen amplicon sequencing and downstream bioinformatics analyses. The microbial communities of the gut tissue revealed a near-exclusive abundance of Campylobacteraceae, whereas the pharynx tissue consisted of Tenericutes, followed by Gamma-, Alpha- and Epsilonproteobacteria at approximately equal capacities. -
Table S5. the Information of the Bacteria Annotated in the Soil Community at Species Level
Table S5. The information of the bacteria annotated in the soil community at species level No. Phylum Class Order Family Genus Species The number of contigs Abundance(%) 1 Firmicutes Bacilli Bacillales Bacillaceae Bacillus Bacillus cereus 1749 5.145782459 2 Bacteroidetes Cytophagia Cytophagales Hymenobacteraceae Hymenobacter Hymenobacter sedentarius 1538 4.52499338 3 Gemmatimonadetes Gemmatimonadetes Gemmatimonadales Gemmatimonadaceae Gemmatirosa Gemmatirosa kalamazoonesis 1020 3.000970902 4 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas indica 797 2.344876284 5 Firmicutes Bacilli Lactobacillales Streptococcaceae Lactococcus Lactococcus piscium 542 1.594633558 6 Actinobacteria Thermoleophilia Solirubrobacterales Conexibacteraceae Conexibacter Conexibacter woesei 471 1.385742446 7 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas taxi 430 1.265115184 8 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas wittichii 388 1.141545794 9 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas sp. FARSPH 298 0.876754244 10 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sorangium cellulosum 260 0.764953367 11 Proteobacteria Deltaproteobacteria Myxococcales Polyangiaceae Sorangium Sphingomonas sp. Cra20 260 0.764953367 12 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas panacis 252 0.741416341 -
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, -
Diversity of Biodeteriorative Bacterial and Fungal Consortia in Winter and Summer on Historical Sandstone of the Northern Pergol
applied sciences Article Diversity of Biodeteriorative Bacterial and Fungal Consortia in Winter and Summer on Historical Sandstone of the Northern Pergola, Museum of King John III’s Palace at Wilanow, Poland Magdalena Dyda 1,2,* , Agnieszka Laudy 3, Przemyslaw Decewicz 4 , Krzysztof Romaniuk 4, Martyna Ciezkowska 4, Anna Szajewska 5 , Danuta Solecka 6, Lukasz Dziewit 4 , Lukasz Drewniak 4 and Aleksandra Skłodowska 1 1 Department of Geomicrobiology, Institute of Microbiology, Faculty of Biology, University of Warsaw, Miecznikowa 1, 02-096 Warsaw, Poland; [email protected] 2 Research and Development for Life Sciences Ltd. (RDLS Ltd.), Miecznikowa 1/5a, 02-096 Warsaw, Poland 3 Laboratory of Environmental Analysis, Museum of King John III’s Palace at Wilanow, Stanislawa Kostki Potockiego 10/16, 02-958 Warsaw, Poland; [email protected] 4 Department of Environmental Microbiology and Biotechnology, Institute of Microbiology, Faculty of Biology, University of Warsaw, Miecznikowa 1, 02-096 Warsaw, Poland; [email protected] (P.D.); [email protected] (K.R.); [email protected] (M.C.); [email protected] (L.D.); [email protected] (L.D.) 5 The Main School of Fire Service, Slowackiego 52/54, 01-629 Warsaw, Poland; [email protected] 6 Department of Plant Molecular Ecophysiology, Institute of Experimental Plant Biology and Biotechnology, Faculty of Biology, University of Warsaw, Miecznikowa 1, 02-096 Warsaw, Poland; [email protected] * Correspondence: [email protected] or [email protected]; Tel.: +48-786-28-44-96 Citation: Dyda, M.; Laudy, A.; Abstract: The aim of the presented investigation was to describe seasonal changes of microbial com- Decewicz, P.; Romaniuk, K.; munity composition in situ in different biocenoses on historical sandstone of the Northern Pergola in Ciezkowska, M.; Szajewska, A.; the Museum of King John III’s Palace at Wilanow (Poland).