Supplementary Table 1
Total Page:16
File Type:pdf, Size:1020Kb

Load more
Recommended publications
-
Multilayered Horizontal Operon Transfers from Bacteria Reconstruct a Thiamine Salvage Pathway in Yeasts
Multilayered horizontal operon transfers from bacteria reconstruct a thiamine salvage pathway in yeasts Carla Gonçalvesa and Paula Gonçalvesa,1 aApplied Molecular Biosciences Unit-UCIBIO, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal Edited by Edward F. DeLong, University of Hawaii at Manoa, Honolulu, HI, and approved September 22, 2019 (received for review June 14, 2019) Horizontal acquisition of bacterial genes is presently recognized as nisms presumed to have facilitated a transition from bacterial an important contribution to the adaptation and evolution of operon transcription to eukaryotic-style gene expression were eukaryotic genomes. However, the mechanisms underlying ex- proposed, such as gene fusion giving rise to multifunctional pro- pression and consequent selection and fixation of the prokaryotic teins (6, 23, 24), increase in intergenic distances between genes to genes in the new eukaryotic setting are largely unknown. Here we generate room for eukaryotic promoters, and independent tran- show that genes composing the pathway for the synthesis of the scription producing mRNAs with poly(A) tails have been dem- essential vitamin B1 (thiamine) were lost in an ancestor of a yeast onstrated (22). In the best documented study, which concerns a lineage, the Wickerhamiella/Starmerella (W/S) clade, known to bacterial siderophore biosynthesis operon acquired by yeasts be- harbor an unusually large number of genes of alien origin. The longing to the Wickerhamiella/Starmerella (W/S) clade, the bacte- thiamine pathway was subsequently reassembled, at least twice, rial genes acquired as an operon were shown to be functional (22). by multiple HGT events from different bacterial donors involving Thiamine, commonly known as vitamin B1, is essential for all both single genes and entire operons. -
Response of Heterotrophic Stream Biofilm Communities to a Gradient of Resources
The following supplement accompanies the article Response of heterotrophic stream biofilm communities to a gradient of resources D. J. Van Horn1,*, R. L. Sinsabaugh1, C. D. Takacs-Vesbach1, K. R. Mitchell1,2, C. N. Dahm1 1Department of Biology, University of New Mexico, Albuquerque, New Mexico 87131, USA 2Present address: Department of Microbiology & Immunology, University of British Columbia Life Sciences Centre, Vancouver BC V6T 1Z3, Canada *Email: [email protected] Aquatic Microbial Ecology 64:149–161 (2011) Table S1. Representative sequences for each OTU, associated GenBank accession numbers, and taxonomic classifications with bootstrap values (in parentheses), generated in mothur using 14956 reference sequences from the SILVA data base Treatment Accession Sequence name SILVA taxonomy classification number Control JF695047 BF8FCONT18Fa04.b1 Bacteria(100);Proteobacteria(100);Gammaproteobacteria(100);Pseudomonadales(100);Pseudomonadaceae(100);Cellvibrio(100);unclassified; Control JF695049 BF8FCONT18Fa12.b1 Bacteria(100);Proteobacteria(100);Alphaproteobacteria(100);Rhizobiales(100);Methylocystaceae(100);uncultured(100);unclassified; Control JF695054 BF8FCONT18Fc01.b1 Bacteria(100);Planctomycetes(100);Planctomycetacia(100);Planctomycetales(100);Planctomycetaceae(100);Isosphaera(50);unclassified; Control JF695056 BF8FCONT18Fc04.b1 Bacteria(100);Proteobacteria(100);Gammaproteobacteria(100);Xanthomonadales(100);Xanthomonadaceae(100);uncultured(64);unclassified; Control JF695057 BF8FCONT18Fc06.b1 Bacteria(100);Proteobacteria(100);Betaproteobacteria(100);Burkholderiales(100);Comamonadaceae(100);Ideonella(54);unclassified; -
University of Cincinnati
UNIVERSITY OF CINCINNATI Date: February 22, 2007 I, _ Samuel Lee Hayes________________________________________, hereby submit this work as part of the requirements for the degree of: Doctor of Philosophy in: Biological Sciences It is entitled: Response of Mammalian Models to Exposure of Bacteria from the Genus Aeromonas Evaluated using Transcriptional Analysis and Conjectures on Disease Mechanisms This work and its defense approved by: Chair: _Brian K. Kinkle _Dennis W. Grogan _Richard D. Karp _Mario Medvedovic _Stephen J. Vesper Response of Mammalian Models to Exposure of Bacteria from the Genus Aeromonas Evaluated using Transcriptional Analysis and Conjectures on Disease Mechanisms A dissertation submitted to the Division of Graduate Studies and Research of the University of Cincinnati in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in the Department of Biological Sciences of the College of Arts and Sciences 2007 by Samuel Lee Hayes B.S. Ohio University, 1978 M.S. University of Cincinnati, 1986 Committee Chair: Dr. Brian K. Kinkle Abstract The genus Aeromonas contains virulent bacteria implicated in waterborne disease, as well as avirulent strains. One of my research objectives was to identify and characterize host- pathogen relationships specific to Aeromonas spp. Aeromonas virulence was assessed using changes in host mRNA expression after infecting cell cultures and live animals. Messenger RNA extracts were hybridized to murine genomic microarrays. Initially, these model systems were infected with two virulent A. hydrophila strains, causing up-regulation of over 200 and 50 genes in animal and cell culture tissues, respectively. Twenty-six genes were common between the two model systems. The live animal model was used to define virulence for many Aeromonas spp. -
Supplementary Information
doi: 10.1038/nature06269 SUPPLEMENTARY INFORMATION METAGENOMIC AND FUNCTIONAL ANALYSIS OF HINDGUT MICROBIOTA OF A WOOD FEEDING HIGHER TERMITE TABLE OF CONTENTS MATERIALS AND METHODS 2 • Glycoside hydrolase catalytic domains and carbohydrate binding modules used in searches that are not represented by Pfam HMMs 5 SUPPLEMENTARY TABLES • Table S1. Non-parametric diversity estimators 8 • Table S2. Estimates of gross community structure based on sequence composition binning, and conserved single copy gene phylogenies 8 • Table S3. Summary of numbers glycosyl hydrolases (GHs) and carbon-binding modules (CBMs) discovered in the P3 luminal microbiota 9 • Table S4. Summary of glycosyl hydrolases, their binning information, and activity screening results 13 • Table S5. Comparison of abundance of glycosyl hydrolases in different single organism genomes and metagenome datasets 17 • Table S6. Comparison of abundance of glycosyl hydrolases in different single organism genomes (continued) 20 • Table S7. Phylogenetic characterization of the termite gut metagenome sequence dataset, based on compositional phylogenetic analysis 23 • Table S8. Counts of genes classified to COGs corresponding to different hydrogenase families 24 • Table S9. Fe-only hydrogenases (COG4624, large subunit, C-terminal domain) identified in the P3 luminal microbiota. 25 • Table S10. Gene clusters overrepresented in termite P3 luminal microbiota versus soil, ocean and human gut metagenome datasets. 29 • Table S11. Operational taxonomic unit (OTU) representatives of 16S rRNA sequences obtained from the P3 luminal fluid of Nasutitermes spp. 30 SUPPLEMENTARY FIGURES • Fig. S1. Phylogenetic identification of termite host species 38 • Fig. S2. Accumulation curves of 16S rRNA genes obtained from the P3 luminal microbiota 39 • Fig. S3. Phylogenetic diversity of P3 luminal microbiota within the phylum Spirocheates 40 • Fig. -
Microbial Community Response to Heavy and Light Crude Oil in the Great Lakes
Microbial Community Response to Heavy and Light Crude Oil in the Great Lakes Stephen Techtmann 10/24/19 Microbial Sensors Techtmann Lab @ MTU Investigating the applications of environmental microbial communities Hydraulic Fracturing Related Antibiotic Resistance Oil Bioremediation Techtmann Lab @ MTU Overview • Background on oil biodegradation • Microbial response to light and heavy crude oil in the Great Lakes • Machine learning for prediction of contamination in the Great Lakes. Oil Spills Deepwater Horizon Enbridge Line 6B Deepwater Horizon Oil Spill • 4,1000,000 bbl of oil released • Light Sweet Crude oil released • April 20, 2010 • 1101.7 miles of shoreline oiled Atlas and Hazen 2011 Enbridge Line 6B Spill – Marshall MI • 20,082 bbl of oil released • Diluted Bitumen • July 26, 2010 • 70 miles of shoreline oiled https://www.mlive.com/news/kalamazoo/2010/07/state_of_emergency_declared_as.html Oil Transmissions Pipelines in the Great Lakes Region Line 5: • 645 miles from Superior WI to Sarnia Ontario • 540,000 barrels per day • Light crude and natural gas liquids (NGLs) Crude oil Oil types and API Gravity Microbes and Biotechnology (Bioremediation) Low cost input Microbe High value output Decreased Cost Contaminant Increased Efficiency Carbon dioxide or non- toxic daughter products Carbon dioxide Microbial Biomass Petroleum Microbe Daughter Products Water Microbial Ecology and Biotechnology Low cost input Microbe High value output Decreased Cost/Increased Efficiency Complex input Input A Microbe Microbe Output A Input B Microbe Output -
Delineation of Aeromonas Hydrophila Pathotypes by Dectection of Putative Virulence Factors Using Polymerase Chain Reaction and N
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by DigitalCommons@Kennesaw State University Kennesaw State University DigitalCommons@Kennesaw State University Master of Science in Integrative Biology Theses Biology & Physics Summer 7-20-2015 Delineation of Aeromonas hydrophila Pathotypes by Dectection of Putative Virulence Factors using Polymerase Chain Reaction and Nematode Challenge Assay John Metz Kennesaw State University, [email protected] Follow this and additional works at: http://digitalcommons.kennesaw.edu/integrbiol_etd Part of the Integrative Biology Commons Recommended Citation Metz, John, "Delineation of Aeromonas hydrophila Pathotypes by Dectection of Putative Virulence Factors using Polymerase Chain Reaction and Nematode Challenge Assay" (2015). Master of Science in Integrative Biology Theses. Paper 7. This Thesis is brought to you for free and open access by the Biology & Physics at DigitalCommons@Kennesaw State University. It has been accepted for inclusion in Master of Science in Integrative Biology Theses by an authorized administrator of DigitalCommons@Kennesaw State University. For more information, please contact [email protected]. Delineation of Aeromonas hydrophila Pathotypes by Detection of Putative Virulence Factors using Polymerase Chain Reaction and Nematode Challenge Assay John Michael Metz Submitted in partial fulfillment of the requirements for the Master of Science Degree in Integrative Biology Thesis Advisor: Donald J. McGarey, Ph.D Department of Molecular and Cellular Biology Kennesaw State University ABSTRACT Aeromonas hydrophila is a Gram-negative, bacterial pathogen of humans and other vertebrates. Human diseases caused by A. hydrophila range from mild gastroenteritis to soft tissue infections including cellulitis and acute necrotizing fasciitis. When seen in fish it causes dermal ulcers and fatal septicemia, which are detrimental to aquaculture stocks and has major economic impact to the industry. -
Development of the Equine Hindgut Microbiome in Semi-Feral and Domestic Conventionally-Managed Foals Meredith K
Tavenner et al. Animal Microbiome (2020) 2:43 Animal Microbiome https://doi.org/10.1186/s42523-020-00060-6 RESEARCH ARTICLE Open Access Development of the equine hindgut microbiome in semi-feral and domestic conventionally-managed foals Meredith K. Tavenner1, Sue M. McDonnell2 and Amy S. Biddle1* Abstract Background: Early development of the gut microbiome is an essential part of neonate health in animals. It is unclear whether the acquisition of gut microbes is different between domesticated animals and their wild counterparts. In this study, fecal samples from ten domestic conventionally managed (DCM) Standardbred and ten semi-feral managed (SFM) Shetland-type pony foals and dams were compared using 16S rRNA sequencing to identify differences in the development of the foal hindgut microbiome related to time and management. Results: Gut microbiome diversity of dams was lower than foals overall and within groups, and foals from both groups at Week 1 had less diverse gut microbiomes than subsequent weeks. The core microbiomes of SFM dams and foals had more taxa overall, and greater numbers of taxa within species groups when compared to DCM dams and foals. The gut microbiomes of SFM foals demonstrated enhanced diversity of key groups: Verrucomicrobia (RFP12), Ruminococcaceae, Fusobacterium spp., and Bacteroides spp., based on age and management. Lactic acid bacteria Lactobacillus spp. and other Lactobacillaceae genera were enriched only in DCM foals, specifically during their second and third week of life. Predicted microbiome functions estimated computationally suggested that SFM foals had higher mean sequence counts for taxa contributing to the digestion of lipids, simple and complex carbohydrates, and protein. -
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 -
Development of Bacterial Communities in Biological Soil Crusts Along
1 Development of bacterial communities in biological soil crusts along 2 a revegetation chronosequence in the Tengger Desert, northwest 3 China 4 5 Author names and affiliations: 6 Lichao Liu1, Yubing Liu1, 2 *, Peng Zhang1, Guang Song1, Rong Hui1, Zengru Wang1, Jin Wang1, 2 7 1Shapotou Desert Research & Experiment Station, Northwest Institute of Eco-Environment and Resources, Chinese 8 Academy of Sciences, Lanzhou, 730000, China 9 2Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions of Gansu Province, Northwest Institute 10 of Eco–Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China 11 12 * Corresponding author: Yubing Liu 13 Address: Donggang West Road 320, Lanzhou 730000, P. R. China. 14 Tel: +86 0931 4967202. 15 E-mail address: [email protected] 16 17 Abstract. Knowledge of structure and function of microbial communities in different 18 successional stages of biological soil crusts (BSCs) is still scarce for desert areas. In this study, 19 Illumina MiSeq sequencing was used to assess the composition changes of bacterial communities 20 in different ages of BSCs in the revegetation of Shapotou in the Tengger Desert. The most dominant 21 phyla of bacterial communities shifted with the changed types of BSCs in the successional stages, 22 from Firmicutes in mobile sand and physical crusts to Actinobacteria and Proteobacteria in BSCs, 23 and the most dominant genera shifted from Bacillus, Enterococcus and Lactococcus to 24 RB41_norank and JG34-KF-361_norank. Alpha diversity and quantitative real-time PCR analysis 25 indicated that bacteria richness and abundance reached their highest levels after 15 years of BSC 26 development. -
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 -
Supplemental Material S1.Pdf
Phylogeny of Selenophosphate synthetases (SPS) Supplementary Material S1 ! SelD in prokaryotes! ! ! SelD gene finding in sequenced prokaryotes! We downloaded a total of 8263 prokaryotic genomes from NCBI (see Supplementary Material S7). We scanned them with the program selenoprofiles (Mariotti 2010, http:// big.crg.cat/services/selenoprofiles) using two SPS-family profiles, one prokaryotic (seld) and one mixed eukaryotic-prokaryotic (SPS). Selenoprofiles removes overlapping predictions from different profiles, keeping only the prediction from the profile that seems closer to the candidate sequence. As expected, the great majority of output predictions in prokaryotic genomes were from the seld profile. We will refer to the prokaryotic SPS/SelD !genes as SelD, following the most common nomenclature in literature.! To be able to inspect results by hand, and also to focus on good-quality genomes, we considered a reduced set of species. We took the prok_reference_genomes.txt list from ftp://ftp.ncbi.nlm.nih.gov/genomes/GENOME_REPORTS/, which NCBI claims to be a "small curated subset of really good and scientifically important prokaryotic genomes". We named this the prokaryotic reference set (223 species - see Supplementary Material S8). We manually curated most of the analysis in this set, while we kept automatized the !analysis on the full set.! We detected SelD proteins in 58 genomes (26.0%) in the prokaryotic reference set (figure 1 in main paper), which become 2805 (33.9%) when considering the prokaryotic full set (figure SM1.1). The difference in proportion between the two sets is due largely to the presence of genomes of very close strains in the full set, which we consider redundant. -
Rational Construction of Genome-Reduced Burkholderiales Chassis Facilitates Efficient Heterologous Production of Natural Products from Proteobacteria
ARTICLE https://doi.org/10.1038/s41467-021-24645-0 OPEN Rational construction of genome-reduced Burkholderiales chassis facilitates efficient heterologous production of natural products from proteobacteria Jiaqi Liu1, Haibo Zhou1, Zhiyu Yang1, Xue Wang1, Hanna Chen1, Lin Zhong1, Wentao Zheng1, Weijing Niu1, Sen Wang2, Xiangmei Ren2, Guannan Zhong1, Yan Wang3, Xiaoming Ding4, Rolf Müller 5, Youming Zhang1 & ✉ Xiaoying Bian 1 1234567890():,; Heterologous expression of biosynthetic gene clusters (BGCs) avails yield improvements and mining of natural products, but it is limited by lacking of more efficient Gram-negative chassis. The proteobacterium Schlegelella brevitalea DSM 7029 exhibits potential for het- erologous BGC expression, but its cells undergo early autolysis, hindering further applica- tions. Herein, we rationally construct DC and DT series genome-reduced S. brevitalea mutants by sequential deletions of endogenous BGCs and the nonessential genomic regions, respectively. The DC5 to DC7 mutants affect growth, while the DT series mutants show improved growth characteristics with alleviated cell autolysis. The yield improvements of six proteobacterial natural products and successful identification of chitinimides from Chit- inimonas koreensis via heterologous expression in DT mutants demonstrate their superiority to wild-type DSM 7029 and two commonly used Gram-negative chassis Escherichia coli and Pseudomonas putida. Our study expands the panel of Gram-negative chassis and facilitates the discovery of natural products by heterologous expression. 1 Helmholtz International Lab for Anti-Infectives, Shandong University-Helmholtz Institute of Biotechnology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao, Shandong, China. 2 Core Facilities for Life and Environmental Sciences, Shandong University, Qingdao, Shandong, China. 3 College of Marine Life Sciences, and Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao, China.