Taxonomic and Functional Characterization of Biopolymer-Degrading Microbial Communities in the Intestinal Tract of Beavers

Total Page:16

File Type:pdf, Size:1020Kb

Taxonomic and Functional Characterization of Biopolymer-Degrading Microbial Communities in the Intestinal Tract of Beavers TAXONOMIC AND FUNCTIONAL CHARACTERIZATION OF BIOPOLYMER-DEGRADING MICROBIAL COMMUNITIES IN THE INTESTINAL TRACT OF BEAVERS Dissertation For the award of the degree “Doctor rerum naturalium (Dr. rer. nat.)” of the Georg-August-Universität Göttingen within the doctoral program in Biology of the Georg-August University School of Science (GAUSS) submitted by Rahadian Pratama from Bogor, Indonesia Göttingen, 2019 Thesis committee Prof. Dr. Rolf Daniel, Department of Genomics and Applied Microbiology, Institute of Microbiology and Genetics, Georg-August-Universität Göttingen PD Dr. Michael Hoppert, Department of General Microbiology, Institute of Microbiology and Genetics, Georg-August-Universität Göttingen Examination board Reviewer: Prof. Dr. Rolf Daniel, Department of Genomics and Applied Microbiology, Institute of Microbiology and Genetics, Georg-August- Universität Göttingen Second reviewer: PD Dr. Michael Hoppert, Department of General Microbiology, Institute of Microbiology and Genetics, Georg-August-Universität Göttingen Further member of the examination board Prof. Dr. Stefanie Pöggeler, Department of Genetics of Eukaryotic Microorganisms, Institute of Microbiology and Genetics, Georg-August-Universität Göttingen Prof. Dr. Gerhard Braus, Department of Molecular Microbiology and Genetics, Institute of Microbiology and Genetics, Georg-August-Universität Göttingen Prof. Dr. Fabian Commichau, Department of General Microbiology, Institute of Microbiology and Genetics, Georg-August-Universität Göttingen PD Dr. Christian Roos, Primate Genetics Laboratory, German Primate Center Date of the oral examination: 2nd May 2019 2 Praise to Allah SWT and his messenger Muhammad SAW. To my mother who always believe in me, and my family for their support 3 Table of Contents 1. INTRODUCTION ............................................................................................................................................. 5 1.1. LIGNOCELLULOSE ................................................................................................................................. 7 1.2. LIGNOCELLULOSE BIODEGRADATION .................................................................................................. 8 1.2.1. Enzymes facilitate lignocellulosic biomass degradation ............................................................. 9 1.2.2. CAZy database encompassing various known and novel CAZymes ......................................... 10 1.3. HERBIVOROUS GUT AS SOURCE OF CELLULOLYTIC MICROORGANISMS AND ENZYMES ................... 12 1.3.1. Eurasian beaver gut microbiome as a source of potentially new lignocellulases .................... 13 1.4. AIM OF THE STUDY .............................................................................................................................. 15 2. MATERIALS AND METHODS .................................................................................................................... 16 2.1. MATERIALS ......................................................................................................................................... 16 2.1.1. Beavers gastrointestinal tract ..................................................................................................... 16 2.1.2. Primers ........................................................................................................................................ 16 2.2. METHODS ............................................................................................................................................ 17 2.2.1. Pretreatment of samples for direct metagenomic sequencing .................................................. 17 2.2.2. DNA extraction and nucleic acid purification .......................................................................... 17 2.2.3. Amplification and sequencing of bacterial 16S rRNA genes .................................................... 18 2.2.4. Direct sequencing of beaver gut metagenomes ......................................................................... 18 2.2.5. 16S rRNA bacterial community structure and diversity analysis ............................................. 19 2.2.6. Comparison of herbivorous gut bacterial communities ............................................................ 19 2.2.7. Metagenome reads quality filtering and assembly .................................................................... 21 2.2.8. Metagenome-derived microbial diversity of castor fiber gut ..................................................... 21 2.2.9. Metagenome annotation and functional analysis ..................................................................... 21 2.2.10. Cloning of a novel cellulase gene derived from the gut metagenome and its expression in E.coli ..................................................................................................................................................... 22 2.2.11. Preparation and purification of cellulase BC33........................................................................ 23 2.2.12. BC33 activity assays ................................................................................................................... 23 2.2.13. BC33 phylogenetic analysis and structure prediction ............................................................... 24 3. RESULTS AND DISCUSSION ...................................................................................................................... 25 3.1. DIVERSITY AND COMPOSITION OF THE EURASIAN BEAVER GUT BACTERIAL COMMUNITY .............. 25 3.1.1. Diversity of intestinal bacterial communities ............................................................................ 25 3.1.2. The Eurasian beaver gut bacterial community is dominated by Firmicutes and Actinobacteria ..................................................................................................................................................... 27 3.1.3. Potential functional capabilities of the beaver gut microbiome ............................................... 31 3.1.4. Eurasian beaver gut microbiome in comparison with North American beavers, herbivorous animals, and humans ................................................................................................................................... 32 3.2. METAGENOMIC ANALYSIS OF THE EURASIAN BEAVER GUT BACTERIAL COMMUNITY REVEALS NOVEL CELLULASE ........................................................................................................................................... 36 3.2.1. Bacterial community structure derived from metagenome sequences ..................................... 36 3.2.2. Metabolic potential derived from the metagenome of subadult beavers ................................... 38 3.2.3. The gut microbiome of the beaver as reservoir for genes encoding of carbohydrate-active enzymes (CAZymes) ..................................................................................................................................... 41 3.3. ANALYSIS OF BEAVER CELLULASE CANDIDATE 33 (BC33) – A NEW GH5 FAMILY CELLULASE ....... 48 3.3.1. The phylogenetic tree and structure of BC33 ............................................................................ 50 3.3.2. Enzymatic assay of overexpressed BC33 protein ...................................................................... 52 3.3.3. Substrate specificity and kinetics of recombinant BC33 ........................................................... 53 4. GENERAL DISCUSSION .............................................................................................................................. 55 4.1. METAGENOME-GUIDED DISCOVERY OF NEW CELLULASE FROM EURASIAN BEAVER GUT MICROBIOME .................................................................................................................................................... 56 5. SUMMARY ...................................................................................................................................................... 62 6. REFERENCES ................................................................................................................................................ 64 7. APPENDICES ................................................................................................................................................. 82 4 1. INTRODUCTION 1.1.World energy consumption trend and the use of bioethanol The economic status of the country and the welfare of its citizen are strongly influenced by energy resources and their utilization. Barnes and Floor (1996) mentioned that the energy demand of a country is determined by its economic development and vice versa. The Statistical Review of World Energy showed that most of Europe’s energy consumption comes from fossil fuel (oil, natural gas, and coal) (Figure 1. 1). The oil consumption was 49% in 2005 and 48% in 2017, followed by natural gas and coal, with hardly any change (BP, 2018). 900 800 700 600 500 Oil 400 Gas 300 Coal 200 Biofuel 100 Energy Energy consumption 0 Million Million tonnesoil equivalent 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Year Figure 1. 1 Energy consumption in Europe by fuel type per year basis. Source: BP (2018) Fossil fuels are mainly used for transportation (Wi et al., 2015). The fuel combustion from vehicles releases carbon dioxide (CO2) as well as toxic particles, causing serious health problems, especially for children, which are most vulnerable (Perera, 2017). CO2 and other
Recommended publications
  • Mobile Genetic Elements in Streptococci
    Curr. Issues Mol. Biol. (2019) 32: 123-166. DOI: https://dx.doi.org/10.21775/cimb.032.123 Mobile Genetic Elements in Streptococci Miao Lu#, Tao Gong#, Anqi Zhang, Boyu Tang, Jiamin Chen, Zhong Zhang, Yuqing Li*, Xuedong Zhou* State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, PR China. #Miao Lu and Tao Gong contributed equally to this work. *Address correspondence to: [email protected], [email protected] Abstract Streptococci are a group of Gram-positive bacteria belonging to the family Streptococcaceae, which are responsible of multiple diseases. Some of these species can cause invasive infection that may result in life-threatening illness. Moreover, antibiotic-resistant bacteria are considerably increasing, thus imposing a global consideration. One of the main causes of this resistance is the horizontal gene transfer (HGT), associated to gene transfer agents including transposons, integrons, plasmids and bacteriophages. These agents, which are called mobile genetic elements (MGEs), encode proteins able to mediate DNA movements. This review briefly describes MGEs in streptococci, focusing on their structure and properties related to HGT and antibiotic resistance. caister.com/cimb 123 Curr. Issues Mol. Biol. (2019) Vol. 32 Mobile Genetic Elements Lu et al Introduction Streptococci are a group of Gram-positive bacteria widely distributed across human and animals. Unlike the Staphylococcus species, streptococci are catalase negative and are subclassified into the three subspecies alpha, beta and gamma according to the partial, complete or absent hemolysis induced, respectively. The beta hemolytic streptococci species are further classified by the cell wall carbohydrate composition (Lancefield, 1933) and according to human diseases in Lancefield groups A, B, C and G.
    [Show full text]
  • Validation of the Asaim Framework and Its Workflows on HMP Mock Community Samples
    Validation of the ASaiM framework and its workflows on HMP mock community samples The ASaiM framework and its workflows have been tested and validated on two mock metagenomic data of an artificial community (with 22 known microbial strains). The datasets are available on EBI metagenomics database (project accession number: SRP004311). First we checked that the targeted abundances (based on number of PCR product) from both mock datasets were similar to the effective abundance (by mapping reads on reference genomes). Second, taxonomic and functional results produced by the ASaiM framework have been extensively analyzed and compared to expectations and to results obtained with the EBI metagenomics pipeline (S. Hunter et al. 2014). For these datasets, the ASaiM framework produces accurate and precise taxonomic assignations, different functional results (gene families, pathways, GO slim terms) and results combining taxonomic and functional information. Despite almost 1.4 million of raw metagenomic sequences, these analyses were executed in less than 6h on a commodity computer. Hence, the ASaiM framework and its workflows are proven to be relevant for the analysis of microbiota datasets. 1Data On EBI metagenomics database, two mock community samples for Human Microbiome Project (HMP) are available. Both samples contain a genomic mixture of 22 known microbial strains. Relative abundance of each strain has been targeted using the number of PCR product of their respective 16S sequences (Table 1). In first sample (SRR072232), the targeted 16S copies of the strains vary by up to four orders of magnitude between the strains (Table 1), whereas in second sample (SRR072233) the same 16S copy number is targeted for each strain (Table 1).
    [Show full text]
  • CUED Phd and Mphil Thesis Classes
    High-throughput Experimental and Computational Studies of Bacterial Evolution Lars Barquist Queens' College University of Cambridge A thesis submitted for the degree of Doctor of Philosophy 23 August 2013 Arrakis teaches the attitude of the knife { chopping off what's incomplete and saying: \Now it's complete because it's ended here." Collected Sayings of Muad'dib Declaration High-throughput Experimental and Computational Studies of Bacterial Evolution The work presented in this dissertation was carried out at the Wellcome Trust Sanger Institute between October 2009 and August 2013. This dissertation is the result of my own work and includes nothing which is the outcome of work done in collaboration except where specifically indicated in the text. This dissertation does not exceed the limit of 60,000 words as specified by the Faculty of Biology Degree Committee. This dissertation has been typeset in 12pt Computer Modern font using LATEX according to the specifications set by the Board of Graduate Studies and the Faculty of Biology Degree Committee. No part of this dissertation or anything substantially similar has been or is being submitted for any other qualification at any other university. Acknowledgements I have been tremendously fortunate to spend the past four years on the Wellcome Trust Genome Campus at the Sanger Institute and the European Bioinformatics Institute. I would like to thank foremost my main collaborators on the studies described in this thesis: Paul Gardner and Gemma Langridge. Their contributions and support have been invaluable. I would also like to thank my supervisor, Alex Bateman, for giving me the freedom to pursue a wide range of projects during my time in his group and for advice.
    [Show full text]
  • Analysis of Carbohydrates and Glycoconjugates by Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry: an Update for 2011–2012
    ANALYSIS OF CARBOHYDRATES AND GLYCOCONJUGATES BY MATRIX-ASSISTED LASER DESORPTION/IONIZATION MASS SPECTROMETRY: AN UPDATE FOR 2011–2012 David J. Harvey* Department of Biochemistry, Oxford Glycobiology Institute, University of Oxford, Oxford OX1 3QU, UK Received 19 June 2014; accepted 15 January 2015 Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/mas.21471 This review is the seventh update of the original article published text. As the review is designed to complement the earlier work, in 1999 on the application of MALDI mass spectrometry to the structural formulae, etc. that were presented earlier are not analysis of carbohydrates and glycoconjugates and brings repeated. However, a citation to the structure in the earlier work coverage of the literature to the end of 2012. General aspects is indicated by its number with a prefix (i.e., 1/x refers to such as theory of the MALDI process, matrices, derivatization, structure x in the first review and 2/x to structure x the second). MALDI imaging, and fragmentation are covered in the first part Books, general reviews, and review-type articles directly of the review and applications to various structural types concerned with, or including, MALDI analysis of carbohydrates constitute the remainder. The main groups of compound are and glycoconjugates to have been published during the review oligo- and poly-saccharides, glycoproteins, glycolipids, glyco- period are listed in Table 1. Reviews relating to more specific sides, and biopharmaceuticals. Much of this material is presented aspects of MALDI analysis are listed in the appropriate sections. in tabular form. Also discussed are medical and industrial applications of the technique, studies of enzyme reactions, and II.
    [Show full text]
  • Appendix III: OTU's Found to Be Differentially Abundant Between CD and Control Patients Via Metagenomeseq Analysis
    Appendix III: OTU's found to be differentially abundant between CD and control patients via metagenomeSeq analysis OTU Log2 (FC CD / FDR Adjusted Phylum Class Order Family Genus Species Number Control) p value 518372 Firmicutes Clostridia Clostridiales Ruminococcaceae Faecalibacterium prausnitzii 2.16 5.69E-08 194497 Firmicutes Clostridia Clostridiales Ruminococcaceae NA NA 2.15 8.93E-06 175761 Firmicutes Clostridia Clostridiales Ruminococcaceae NA NA 5.74 1.99E-05 193709 Firmicutes Clostridia Clostridiales Ruminococcaceae NA NA 2.40 2.14E-05 4464079 Bacteroidetes Bacteroidia Bacteroidales Bacteroidaceae Bacteroides NA 7.79 0.000123188 20421 Firmicutes Clostridia Clostridiales Lachnospiraceae Coprococcus NA 1.19 0.00013719 3044876 Firmicutes Clostridia Clostridiales Lachnospiraceae [Ruminococcus] gnavus -4.32 0.000194983 184000 Firmicutes Clostridia Clostridiales Ruminococcaceae Faecalibacterium prausnitzii 2.81 0.000306032 4392484 Bacteroidetes Bacteroidia Bacteroidales Bacteroidaceae Bacteroides NA 5.53 0.000339948 528715 Firmicutes Clostridia Clostridiales Ruminococcaceae Faecalibacterium prausnitzii 2.17 0.000722263 186707 Firmicutes Clostridia Clostridiales NA NA NA 2.28 0.001028539 193101 Firmicutes Clostridia Clostridiales Ruminococcaceae NA NA 1.90 0.001230738 339685 Firmicutes Clostridia Clostridiales Peptococcaceae Peptococcus NA 3.52 0.001382447 101237 Firmicutes Clostridia Clostridiales NA NA NA 2.64 0.001415109 347690 Firmicutes Clostridia Clostridiales Ruminococcaceae Oscillospira NA 3.18 0.00152075 2110315 Firmicutes Clostridia
    [Show full text]
  • United States Patent (19) 11 Patent Number: 5,981,835 Austin-Phillips Et Al
    USOO598.1835A United States Patent (19) 11 Patent Number: 5,981,835 Austin-Phillips et al. (45) Date of Patent: Nov. 9, 1999 54) TRANSGENIC PLANTS AS AN Brown and Atanassov (1985), Role of genetic background in ALTERNATIVE SOURCE OF Somatic embryogenesis in Medicago. Plant Cell Tissue LIGNOCELLULOSC-DEGRADING Organ Culture 4:107-114. ENZYMES Carrer et al. (1993), Kanamycin resistance as a Selectable marker for plastid transformation in tobacco. Mol. Gen. 75 Inventors: Sandra Austin-Phillips; Richard R. Genet. 241:49-56. Burgess, both of Madison; Thomas L. Castillo et al. (1994), Rapid production of fertile transgenic German, Hollandale; Thomas plants of Rye. Bio/Technology 12:1366–1371. Ziegelhoffer, Madison, all of Wis. Comai et al. (1990), Novel and useful properties of a chimeric plant promoter combining CaMV 35S and MAS 73 Assignee: Wisconsin Alumni Research elements. Plant Mol. Biol. 15:373-381. Foundation, Madison, Wis. Coughlan, M.P. (1988), Staining Techniques for the Detec tion of the Individual Components of Cellulolytic Enzyme 21 Appl. No.: 08/883,495 Systems. Methods in Enzymology 160:135-144. de Castro Silva Filho et al. (1996), Mitochondrial and 22 Filed: Jun. 26, 1997 chloroplast targeting Sequences in tandem modify protein import specificity in plant organelles. Plant Mol. Biol. Related U.S. Application Data 30:769-78O. 60 Provisional application No. 60/028,718, Oct. 17, 1996. Divne et al. (1994), The three-dimensional crystal structure 51 Int. Cl. ............................. C12N 15/82; C12N 5/04; of the catalytic core of cellobiohydrolase I from Tricho AO1H 5/00 derma reesei. Science 265:524-528.
    [Show full text]
  • Comparison of the Fecal Microbiota of Horses with Intestinal Disease and Their Healthy Counterparts
    veterinary sciences Article Comparison of the Fecal Microbiota of Horses with Intestinal Disease and Their Healthy Counterparts Taemook Park 1,2, Heetae Cheong 3, Jungho Yoon 1, Ahram Kim 1, Youngmin Yun 2,* and Tatsuya Unno 4,5,* 1 Equine Clinic, Jeju Stud Farm, Korea Racing Authority, Jeju 63346, Korea; [email protected] (T.P.); [email protected] (J.Y.); [email protected] (A.K.) 2 College of Veterinary Medicine and Veterinary Medical Research Institute, Jeju National University, Jeju 63243, Korea 3 College of Veterinary Medicine and Institute of Veterinary Science, Kangwon National University, Chuncheon 24341, Korea; [email protected] 4 Faculty of Biotechnology, School of Life Sciences, SARI, Jeju 63243, Korea 5 Subtropical/Tropical Organism Gene Bank, Jeju National University, Jeju 63243, Korea * Correspondence: [email protected] (Y.Y.); [email protected] (T.U.); Tel.: +82-64-754-3376 (Y.Y.); +82-64-754-3354 (T.U.) Abstract: (1) Background: The intestinal microbiota plays an essential role in maintaining the host’s health. Dysbiosis of the equine hindgut microbiota can alter the fermentation patterns and cause metabolic disorders. (2) Methods: This study compared the fecal microbiota composition of horses with intestinal disease and their healthy counterparts living in Korea using 16S rRNA sequencing from fecal samples. A total of 52 fecal samples were collected and divided into three groups: horses with large intestinal disease (n = 20), horses with small intestinal disease (n = 8), and healthy horses (n = 24). (3) Results: Horses with intestinal diseases had fewer species and a less diverse bacterial population than healthy horses.
    [Show full text]
  • Streptococcaceae
    STREPTOCOCCACEAE Instructor Dr. Maytham Ihsan Ph.D Vet Microbiology 1 STREPTOCOCCACEAE Genus: Streptococcus and Enterocccus Streptococcus and Enterocccus genera, are Gram‐positive ovoid (lanceolate) cocci, approximately 1 μm in diameter, that tend to occur in singles, pairs & chains (rosary‐like) may be long or short. Streptococcus species occur as commensals on skin, upper & lower respiratory tract and mucous membranes; some may act as opportunistic pathogens causing pyogenic infections. Enteroccci spp. are enteric opportunistic & can be found in the intestinal tract of many animlas & humans. Growth & Culture Characteristics • Most streptococci are facultative anaerobes and catalase‐negative. • They are non‐motile and oxidase‐negative and do not form spores & susceptible to desiccation. • They are fastidious bacteria and require the addition of blood or serum to culture media. They grow at temperature ranging from 37°C to 42°C. Group D (Enterocooci), are considered thermophilic & can gorw at 45°C or even higher. • Colonies are small about 1 mm in size, smooth, translucent & may be greyish. • Streptococcus pneumoniae (pneumococcus or diplococcus) occurs as slightly pear‐shaped cocci in pairs. Pathogenic strains have thick capsules and produce mucoid colonies or flat colonies with smooth borders & a central concavity “draughtsman colonies” aer 48‐72 hrs on blood agar. These bacteria cause pneumonia in humans and rats. 2 • Some of streptococci grow on MacConkey like: Enterococcus faecalis, Strept. bovis, Sterpt. uberis & strept. lactis producing very tiny colonies like pin‐point appearance aer 48 hrs of incubaon at 37°C. • Streptococci genera grow slowly in broth media, sometimes forming faint opacity; whereas others with a fluffy deposit adherent to the side of the tube.
    [Show full text]
  • WO 2018/064165 A2 (.Pdf)
    (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2018/064165 A2 05 April 2018 (05.04.2018) W !P O PCT (51) International Patent Classification: Published: A61K 35/74 (20 15.0 1) C12N 1/21 (2006 .01) — without international search report and to be republished (21) International Application Number: upon receipt of that report (Rule 48.2(g)) PCT/US2017/053717 — with sequence listing part of description (Rule 5.2(a)) (22) International Filing Date: 27 September 2017 (27.09.2017) (25) Filing Language: English (26) Publication Langi English (30) Priority Data: 62/400,372 27 September 2016 (27.09.2016) US 62/508,885 19 May 2017 (19.05.2017) US 62/557,566 12 September 2017 (12.09.2017) US (71) Applicant: BOARD OF REGENTS, THE UNIVERSI¬ TY OF TEXAS SYSTEM [US/US]; 210 West 7th St., Austin, TX 78701 (US). (72) Inventors: WARGO, Jennifer; 1814 Bissonnet St., Hous ton, TX 77005 (US). GOPALAKRISHNAN, Vanch- eswaran; 7900 Cambridge, Apt. 10-lb, Houston, TX 77054 (US). (74) Agent: BYRD, Marshall, P.; Parker Highlander PLLC, 1120 S. Capital Of Texas Highway, Bldg. One, Suite 200, Austin, TX 78746 (US). (81) Designated States (unless otherwise indicated, for every kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW.
    [Show full text]
  • Inferring Gene Function from Evolutionary Change in Signatures
    Krisko et al. Genome Biology 2014, 15:R44 http://genomebiology.com/2014/15/3/R44 RESEARCH Open Access Inferring gene function from evolutionary change in signatures of translation efficiency Anita Krisko1, Tea Copic1, Toni Gabaldón2,3,5, Ben Lehner3,4,5 and Fran Supek2,3,4* Abstract Background: The genetic code is redundant, meaning that most amino acids can be encoded by more than one codon. Highly expressed genes tend to use optimal codons to increase the accuracy and speed of translation. Thus, codon usage biases provide a signature of the relative expression levels of genes, which can, uniquely, be quantified across the domains of life. Results: Here we describe a general statistical framework to exploit this phenomenon and to systematically associate genes with environments and phenotypic traits through changes in codon adaptation. By inferring evolutionary signatures of translation efficiency in 911 bacterial and archaeal genomes while controlling for confounding effects of phylogeny and inter-correlated phenotypes, we linked 187 gene families to 24 diverse phenotypic traits. A series of experiments in Escherichia coli revealed that 13/15, 19/23, and 3/6 gene families with changes in codon adaptation in aerotolerant, thermophilic, or halophilic microbes confer specific resistance to, respectively, hydrogen peroxide, heat, and high salinity. Further, we demonstrate experimentally that changes in codon optimality alone are sufficient to enhance stress resistance. Finally, we present evidence that multiple genes with altered codon optimality in aerobes confer oxidative stress resistance by controlling the levels of iron and NAD(P)H. Conclusions: Taken together, these results provide experimental evidence for a widespread connection between changes in translation efficiency and phenotypic adaptation.
    [Show full text]
  • 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
    [Show full text]
  • Genomic and Phenotypic Insights Into the Ecology of Arthrobacter from Antarctic Soils Melissa Dsouza1*, Michael W Taylor1, Susan J Turner1,2 and Jackie Aislabie3
    Dsouza et al. BMC Genomics (2015) 16:36 DOI 10.1186/s12864-015-1220-2 RESEARCH ARTICLE Open Access Genomic and phenotypic insights into the ecology of Arthrobacter from Antarctic soils Melissa Dsouza1*, Michael W Taylor1, Susan J Turner1,2 and Jackie Aislabie3 Abstract Background: Members of the bacterial genus Arthrobacter are both readily cultured and commonly identified in Antarctic soil communities. Currently, relatively little is known about the physiological traits that allow these bacteria to survive in the harsh Antarctic soil environment. The aim of this study is to investigate if Antarctic strains of Arthrobacter owe their resilience to substantial genomic changes compared to Arthrobacter spp. isolated from temperate soil environments. Results: Quantitative PCR-based analysis revealed that up to 4% of the soil bacterial communities were comprised of Arthrobacter spp. at four locations in the Ross Sea Region. Genome analysis of the seven Antarctic Arthrobacter isolates revealed several features that are commonly observed in psychrophilic/psychrotolerant bacteria. These include genes primarily associated with sigma factors, signal transduction pathways, the carotenoid biosynthesis pathway and genes induced by cold-shock, oxidative and osmotic stresses. However, these genes were also identified in genomes of seven temperate Arthrobacter spp., suggesting that these mechanisms are beneficial for growth and survival in a range of soil environments. Phenotypic characterisation revealed that Antarctic Arthrobacter isolates demonstrate significantly lower metabolic versatility and a narrower salinity tolerance range compared to temperate Arthrobacter species. Comparative analyses also revealed fewer protein-coding sequences and a significant decrease in genes associated with transcription and carbohydrate transport and metabolism in four of the seven Antarctic Arthrobacter isolates.
    [Show full text]