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Strong Purifying Selection Contributes to Genome Streamlining in Epipelagic Marinimicrobia
bioRxiv preprint doi: https://doi.org/10.1101/653261; this version posted May 30, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 Strong Purifying Selection Contributes to Genome Streamlining in Epipelagic Marinimicrobia Carolina Alejandra Martinez-Gutierrez and Frank O. Aylward Department of Biological Sciences, Virginia Tech, Blacksburg, VA Email for correspondence: [email protected] Abstract Marine microorganisms inhabiting nutrient-depleted waters play critical roles in global biogeochemical cycles due to their abundance and broad distribution. Many of these microbes share similar genomic features including small genome size, low % G+C content, short intergenic regions, and low nitrogen content in encoded amino acids, but the evolutionary drivers of these characteristics are unclear. Here we compared the strength of purifying selection across the Marinimicrobia, a candidate phylum which encompasses a broad range of phylogenetic groups with disparate genomic features, by estimating the ratio of non-synonymous and synonymous substitutions (dN/dS) in conserved marker genes. Our analysis shows significantly lower dN/dS values in epipelagic Marinimicrobia that exhibit features consistent with genome streamlining when compared to their mesopelagic counterparts. We found a significant positive correlation between median dN/dS values and genomic traits associated to streamlined organisms, including % G+C content, genome size, and intergenic region length. Our findings are consistent with genome streamlining theory, which postulates that small, compact genomes with low G+C contents are adaptive and the product of strong purifying selection. -
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. -
Online Supplementary Figures of Chapter 3
Online Supplementary Figures of Chapter 3 Fabio Gori Figures 1-30 contain pie charts showing the population characterization re- sulting from the taxonomic assignment computed by the methods. On the simulated datasets the true population distribution is also shown. 1 MTR Bacillales (47.11%) Thermoanaerobacterales (0.76%) Clostridiales (33.58%) Lactobacillales (7.99%) Others (10.55%) LCA Bacillales (48.38%) Thermoanaerobacterales (0.57%) Clostridiales (32.14%) Lactobacillales (10.07%) Others (8.84%) True Distribution 333 386 Prochlorales (5.84%) 535 Bacillales (34.61%) Halanaerobiales (4.37%) Thermoanaerobacterales (10.29%) Clostridiales (28.75%) Lactobacillales (9.38%) 1974 Herpetosiphonales (6.77%) 1640 249 587 Figure 1: Population distributions (rank Order) of M1, coverage 0.1x, by MTR and LCA, and the true population distribution. 2 MTR Bacillus (47.34%) Clostridium (14.61%) Lactobacillus (8.71%) Anaerocellum (11.41%) Alkaliphilus (5.14%) Others (12.79%) LCA Bacillus (51.41%) Clostridium (8.08%) Lactobacillus (9.23%) Anaerocellum (15.79%) Alkaliphilus (5.17%) Others (10.31%) True Distribution 386 552 Herpetosiphon (6.77%) 333 Prochlorococcus (5.84%) 587 Bacillus (34.61%) Clostridium (19.07%) Lactobacillus (9.38%) 249 Halothermothrix (4.37%) Caldicellulosiruptor (10.29%) Alkaliphilus (9.68%) 535 1974 1088 Figure 2: Population distributions (rank Genus) of M1, coverage 0.1x, by MTR and LCA, and the true population distribution. 3 MTR Prochlorales (0.07%) Bacillales (47.97%) Thermoanaerobacterales (0.66%) Clostridiales (32.18%) Lactobacillales (7.76%) Others (11.35%) LCA Prochlorales (0.10%) Bacillales (49.02%) Thermoanaerobacterales (0.59%) Clostridiales (30.62%) Lactobacillales (9.50%) Others (10.16%) True Distribution 3293 3950 Prochlorales (5.65%) 5263 Bacillales (36.68%) Halanaerobiales (3.98%) Thermoanaerobacterales (10.56%) Clostridiales (27.34%) Lactobacillales (9.03%) 21382 Herpetosiphonales (6.78%) 15936 2320 6154 Figure 3: Population distributions (rank Order) of M1, coverage 1x, by MTR and LCA, and the true population distribution. -
Ecology and Evolution of Metabolic Cross-Feeding Interactions in Bacteria† Cite This: Nat
Natural Product Reports View Article Online REVIEW View Journal | View Issue Ecology and evolution of metabolic cross-feeding interactions in bacteria† Cite this: Nat. Prod. Rep.,2018,35,455 Glen D'Souza, ab Shraddha Shitut, ce Daniel Preussger,c Ghada Yousif,cde Silvio Waschina f and Christian Kost *ce Literature covered: early 2000s to late 2017 Bacteria frequently exchange metabolites with other micro- and macro-organisms. In these often obligate cross-feeding interactions, primary metabolites such as vitamins, amino acids, nucleotides, or growth factors are exchanged. The widespread distribution of this type of metabolic interactions, however, is at odds with evolutionary theory: why should an organism invest costly resources to benefit other individuals rather than using these metabolites to maximize its own fitness? Recent empirical work has fi fi Creative Commons Attribution 3.0 Unported Licence. shown that bacterial genotypes can signi cantly bene t from trading metabolites with other bacteria relative to cells not engaging in such interactions. Here, we will provide a comprehensive overview over the ecological factors and evolutionary mechanisms that have been identified to explain the evolution Received 25th January 2018 and maintenance of metabolic mutualisms among microorganisms. Furthermore, we will highlight DOI: 10.1039/c8np00009c general principles that underlie the adaptive evolution of interconnected microbial metabolic networks rsc.li/npr as well as the evolutionary consequences that result for cells living in such communities. 1 Introduction 2.5 Mechanisms of metabolite transfer This article is licensed under a 2 Metabolic cross-feeding interactions 2.5.1 Contact-independent mechanisms 2.1 Historical account 2.5.1.1 Passive diffusion 2.2 Classication of cross-feeding interactions 2.5.1.2 Active transport 2.2.1 Unidirectional by-product cross-feeding 2.5.1.3 Vesicle-mediated transport Open Access Article. -
Thitiwut Vongkampang WEBB
Exploring strategies to improve volumetric hydrogen productivities of Caldicellulosiruptor species Vongkampang, Thitiwut 2021 Document Version: Publisher's PDF, also known as Version of record Link to publication Citation for published version (APA): Vongkampang, T. (2021). Exploring strategies to improve volumetric hydrogen productivities of Caldicellulosiruptor species. Department of Applied Microbiology, Lund University. Total number of authors: 1 General rights Unless other specific re-use rights are stated the following general rights apply: Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Read more about Creative commons licenses: https://creativecommons.org/licenses/ Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. LUND UNIVERSITY PO Box 117 221 00 Lund +46 46-222 00 00 Exploring strategies to improve volumetric hydrogen productivities of Caldicellulosiruptor species THITIWUT VONGKAMPANG | APPLIED MICROBIOLOGY | LUND UNIVERSITY AN ECOLABEL 3041 0903 NORDIC SW ryck, Lund 2021 Printed by Media-T Mer de Glace is the largest glacier in France’s alpine, covering 30.4 sq. -
Successful Drug Discovery Informed by Actinobacterial Systematics
Successful Drug Discovery Informed by Actinobacterial Systematics Verrucosispora HPLC-DAD analysis of culture filtrate Structures of Abyssomicins Biological activity T DAD1, 7.382 (196 mAU,Up2) of 002-0101.D V. maris AB-18-032 mAU CH3 CH3 T extract H3C H3C Antibacterial activity (MIC): S. leeuwenhoekii C34 maris AB-18-032 175 mAU DAD1 A, Sig=210,10 150 C DAD1 B, Sig=230,10 O O DAD1 C, Sig=260,20 125 7 7 500 Rt 7.4 min DAD1 D, Sig=280,20 O O O O Growth inhibition of Gram-positive bacteria DAD1 , Sig=310,20 100 Abyssomicins DAD1 F, Sig=360,40 C 75 DAD1 G, Sig=435,40 Staphylococcus aureus (MRSA) 4 µg/ml DAD1 H, Sig=500,40 50 400 O O 25 O O Staphylococcus aureus (iVRSA) 13 µg/ml 0 CH CH3 300 400 500 nm 3 DAD1, 7.446 (300 mAU,Dn1) of 002-0101.D 300 mAU Mode of action: C HO atrop-C HO 250 atrop-C CH3 CH3 CH3 CH3 200 H C H C H C inhibitior of pABA biosynthesis 200 Rt 7.5 min H3C 3 3 3 Proximicin A Proximicin 150 HO O HO O O O O O O O O O A 100 O covalent binding to Cys263 of PabB 100 N 50 O O HO O O Sea of Japan B O O N O O (4-amino-4-deoxychorismate synthase) by 0 CH CH3 CH3 CH3 3 300 400 500 nm HO HO HO HO Michael addition -289 m 0 B D G H 2 4 6 8 10 12 14 16 min Newcastle Michael Goodfellow, School of Biology, University Newcastle University, Newcastle upon Tyne Atacama Desert In This Talk I will Consider: • Actinobacteria as a key group in the search for new therapeutic drugs. -
Nanobacteria: an Alternative Mechanism for Pathogenic Intra- and Extracellular Calcification and Stone Formation
Proc. Natl. Acad. Sci. USA Vol. 95, pp. 8274–8279, July 1998 Medical Sciences Nanobacteria: An alternative mechanism for pathogenic intra- and extracellular calcification and stone formation E. OLAVI KAJANDER* AND NEVA C¸ IFTC¸IOGLU Department of Biochemistry and Biotechnology, University of Kuopio, P.O.B. 1627, Fin-70211, Kuopio, Finland Communicated by J. Edwin Seegmiller, University of California, La Jolla, CA, April 23, 1998 (received for review January 9, 1998) ABSTRACT Calcium phosphate is deposited in many aminoglycoside antibiotics prevented their multiplication. Ac- diseases, but formation mechanisms remain speculative. cording to the 16S rRNA gene sequence (EMBL X98418 and Nanobacteria are the smallest cell-walled bacteria, only re- X98419), nanobacteria fall within the a-2 subgroup of Pro- cently discovered in human and cow blood and commercial cell teobacteria, which also includes Brucella and Bartonella species culture serum. In this study, we identified with energy- (10). The latter genera include human and animal pathogens dispersive x-ray microanalysis and chemical analysis that all that share similarities with nanobacteria, e.g., some antigens growth phases of nanobacteria produce biogenic apatite on (our unpublished data), intra- and extracellular location in the their cell envelope. Fourier transform IR spectroscopy re- host, and cytopathic effects (5). vealed the mineral as carbonate apatite. The biomineraliza- In this study, we provide evidence that nanobacteria can act as tion in cell culture media resulted in biofilms and mineral crystallization centers (nidi) for the formation of biogenic apatite aggregates closely resembling those found in tissue calcifica- structures. The mineralization process was studied in vitro with tion and kidney stones. -
Supporting Information
Supporting Information Lozupone et al. 10.1073/pnas.0807339105 SI Methods nococcus, and Eubacterium grouped with members of other Determining the Environmental Distribution of Sequenced Genomes. named genera with high bootstrap support (Fig. 1A). One To obtain information on the lifestyle of the isolate and its reported member of the Bacteroidetes (Bacteroides capillosus) source, we looked at descriptive information from NCBI grouped firmly within the Firmicutes. This taxonomic error was (www.ncbi.nlm.nih.gov/genomes/lproks.cgi) and other related not surprising because gut isolates have often been classified as publications. We also determined which 16S rRNA-based envi- Bacteroides based on an obligate anaerobe, Gram-negative, ronmental surveys of microbial assemblages deposited near- nonsporulating phenotype alone (6, 7). A more recent 16S identical sequences in GenBank. We first downloaded the gbenv rRNA-based analysis of the genus Clostridium defined phylo- files from the NCBI ftp site on December 31, 2007, and used genetically related clusters (4, 5), and these designations were them to create a BLAST database. These files contain GenBank supported in our phylogenetic analysis of the Clostridium species in the HGMI pipeline. We thus designated these Clostridium records for the ENV database, a component of the nonredun- species, along with the species from other named genera that dant nucleotide database (nt) where 16S rRNA environmental cluster with them in bootstrap supported nodes, as being within survey data are deposited. GenBank records for hits with Ͼ98% these clusters. sequence identity over 400 bp to the 16S rRNA sequence of each of the 67 genomes were parsed to get a list of study titles Annotation of GTs and GHs. -
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 -
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 -
Drylands Soil Bacterial Community Is Affected by Land Use Change and Different Irrigation Practices in the Mezquital Valley
www.nature.com/scientificreports OPEN Drylands soil bacterial community is afected by land use change and diferent irrigation practices in the Received: 23 June 2017 Accepted: 3 January 2018 Mezquital Valley, Mexico Published: xx xx xxxx Kathia Lüneberg1, Dominik Schneider2, Christina Siebe1 & Rolf Daniel 2 Dryland agriculture nourishes one third of global population, although crop irrigation is often mandatory. As freshwater sources are scarce, treated and untreated wastewater is increasingly used for irrigation. Here, we investigated how the transformation of semiarid shrubland into rainfed farming or irrigated agriculture with freshwater, dam-stored or untreated wastewater afects the total (DNA-based) and active (RNA-based) soil bacterial community composition, diversity, and functionality. To do this we collected soil samples during the dry and rainy seasons and isolated DNA and RNA. Soil moisture, sodium content and pH were the strongest drivers of the bacterial community composition. We found lineage-specifc adaptations to drought and sodium content in specifc land use systems. Predicted functionality profles revealed gene abundances involved in nitrogen, carbon and phosphorous cycles difered among land use systems and season. Freshwater irrigated bacterial community is taxonomically and functionally susceptible to seasonal environmental changes, while wastewater irrigated ones are taxonomically susceptible but functionally resistant to them. Additionally, we identifed potentially harmful human and phytopathogens. The analyses of 16 S rRNA genes, its transcripts and deduced functional profles provided extensive understanding of the short- term and long-term responses of bacterial communities associated to land use, seasonality, and water quality used for irrigation in drylands. Drylands are defned as regions with arid, semi-arid, and dry sub humid climate with an annual precipitation/ evapotranspiration potential ratio (P/PET)1 ranging from 0.05 to 0.652. -
'Candidatus Phytoplasma Solani' (Quaglino Et Al., 2013)
‘Candidatus Phytoplasma solani’ (Quaglino et al., 2013) Synonyms Phytoplasma solani Common Name(s) Disease: Bois noir, blackwood disease of grapevine, maize redness, stolbur Phytoplasma: CaPsol, maize redness phytoplasma, potato stolbur phytoplasma, stolbur phytoplasma, tomato stolbur phytoplasma Figure 1: A ‘dornfelder’ grape cultivar Type of Pest infected with ‘Candidatus Phytoplasma Phytoplasma solani’. Courtesy of Dr. Michael Maixner, Julius Kühn-Institut (JKI). Taxonomic Position Class: Mollicutes, Order: Acholeplasmatales, Family: Acholeplasmataceae Genus: ‘Candidatus Phytoplasma’ Reason for Inclusion in Manual OPIS A pest list, CAPS community suggestion, known host range and distribution have both expanded; 2016 AHP listing. Background Information Phytoplasmas, formerly known as mycoplasma-like organisms (MLOs), are pleomorphic, cell wall-less bacteria with small genomes (530 to 1350 kbp) of low G + C content (23-29%). They belong to the class Mollicutes and are the putative causal agents of yellows diseases that affect at least 1,000 plant species worldwide (McCoy et al., 1989; Seemüller et al., 2002). These minute, endocellular prokaryotes colonize the phloem of their infected plant hosts as well as various tissues and organs of their respective insect vectors. Phytoplasmas are transmitted to plants during feeding activity by their vectors, primarily leafhoppers, planthoppers, and psyllids (IRPCM, 2004; Weintraub and Beanland, 2006). Although phytoplasmas cannot be routinely grown by laboratory culture in cell free media, they may be observed in infected plant or insect tissues by use of electron microscopy or detected by molecular assays incorporating antibodies or nucleic acids. Since biological and phenotypic properties in pure culture are unavailable as aids in their identification, analysis of 16S rRNA genes has been adopted instead as the major basis for phytoplasma taxonomy.