Mining bacterial genomes for laccases

Slides:



Advertisements
Similar presentations
An Introduction to “Bioinformatics to Predict Bacterial Phenotypes” Jerry H. Kavouras, Ph.D. Lewis University Romeoville, IL.
Advertisements

Directed Evolution of a Fungal Peroxidase Irene Woo Enzong Yap Joel R. Cherry et al.
Figure 7.1 Genomes 3 (© Garland Science 2007) Figure 7.2 Genomes 3 (© Garland Science 2007)
Specific Emerging Topics in Food Microbiology I Listeria monocytogenes in seafood I 27, May 2013-SS 1 Listeria monocytogenes in seafood Mansooreh Jami,
© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey What is Metagenomics?  Traditional microbial genomics 
La gramática de la diversidad microbiana Víctor de Lorenzo Centro Nal. Biotecnologia CSIC, Madrid (Spain)
Medical Technology Department, Faculty of Science, Islamic University-Gaza MB M ICRO B IOLOGY Dr. Abdelraouf A. Elmanama Ph. D Microbiology 2008 Chapter.
Chapter 14 – Plant Biotechnology
Preparing a cyanobacterial chassis for H 2 production: a synthetic biology approach Catarina Pacheco Cell and Applied Microbiology Group IBMC, INEB E4.
The oligonucleotide frequency derived error gradient and its application to the binning of metagenome fragments Isaam Saeed & Saman K Halgamuge MERIT,
Microbial Diversity Scott Clingenpeel. Complete Genomes 2671 Prokaryotic genomes in GenBank 114 Eukaryotic genomes – 9 Plants – 52 Animals Do we really.
Yersinia Palindromic Sequences Introduction to Bioinformatics 301 April 30th, 2015 Jordan Davis.
DNA TECHNOLOGY AND BIOTECHNOLOGY PAGES Chapter 10.
Aquaculture and fish cell technology
The 2nd International Symposium „VERA JOHANIDES”
Rust et al., Figure S1 A B Amino acid sequence comparison and alignment of various bacterial FlgM proteins color- coded according to different physico-chemical.
Chapter 21 Lecture Outline Microbial Ecology. Microbiology: An Evolving Science © 2009 W. W. Norton & Company, Inc. 2 Microbes in Ecosystems Microbes.
Why do different cells produce different proteins?
- making changes to the DNA code of a living organism.
Risheng Chen et al BMC Genomics
Metagenomic Species Diversity.
Physiological and behavioural responses of abalone to temperature and oxygen Katharina Alter.
What is a Hidden Markov Model?
Volume 20, Issue 8, Pages (August 2013)
Biotechnology Practice Test
Biotechnology and Recombinant DNA
American Society of Microbiology North Central Branch Meeting
Biotechnology and Recombinant DNA
LO: What environmental factors affect enzyme activity?
Reads aligned into contigs
Cloning and expression in Lactobacillus acidophilus
Volume 20, Issue 8, Pages (August 2013)
Microorganisms and the limits of life
Scientists use several techniques to manipulate DNA.
Biotechnology and Recombinant DNA
This presentation uses animations and is best viewed as a slide show.
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Department of Chemical Engineering
Analysis of perA integrity within nonhybrid Epichloë species.
The Future of Genetic Research
Volume 20, Issue 8, Pages (August 2013)
16.1 – Genetic Variation in Bacteria
Nitzan Koppel, Emily P. Balskus  Cell Chemical Biology 
Note the clone IDs used in the report duplicates are F176 and R551/F146 and F220 (see slides 10 and 11) CRN8 F118 F220 F283 R514 F146 F176 R582 R551.
Volume 21, Issue 8, Pages (August 2014)
Substrate COMBINATORIAL OPTIMization strategies to increase Human P450 catalytic Activity in whole cell Biotransformations   Astrid Weninger,1 Anna Alkofer,1.
SEG5010 Presentation Zhou Lanjun.
Gene structures, positions of mutations, and protein domains of PRP18 paralogs in Arabidopsis. Gene structures, positions of mutations, and protein domains.
Coordinate Regulation of Bacterial Virulence Genes by a Novel Adenylate Cyclase- Dependent Signaling Pathway  Matthew C. Wolfgang, Vincent T. Lee, Meghan.
Alignment of H-NS, H-NS2, and StpA amino acid sequences.
Enzyme Reaction Rates -enzymes are also known as biological catalysts
Metabolism and Survival
Overview of Genetics.
Frequency distribution of the GRAVY of the theoretical proteins (open bars) and of 110 genes encoding proteins identified on a 2-D electrophoresis gel,
Presented by, Jeremy Logue.
CISC 667 Intro to Bioinformatics (Fall 2005) Hidden Markov Models (IV)
Taxonomic identification and phylogenetic profiling
Chemistry of Life Organic chemistry is the study of carbon compounds
Profile HMMs GeneScan TMMOD
G. Eric Schaller, Shin-Han Shiu, Judith P. Armitage  Current Biology 
MetaPhase clustering results on the M-Y draft metagenome assembly.
Presented by, Jeremy Logue.
Part I. Introduction and Genetic Engineering
Inteins Current Biology
General structure of RIFINs and STEVORs
SUR-8, a Conserved Ras-Binding Protein with Leucine-Rich Repeats, Positively Regulates Ras-Mediated Signaling in C. elegans  Derek S Sieburth, Qun Sun,
BRC Science Highlight Survey of fungal genomes reveals functional adaptation of a set of borrowed bacterial genes Objective Survey a broad range of fungal.
Microbial Diversity between Buffalo Creek and a Retention Pond
Distribution of selected traits across the >4,000 strains in the most recent version of the database, including cell shape (A), spore formation (B), motility.
General overview of the bioinformatic pipelines for the 16S rRNA gene microbial profiling and shotgun metagenomics. General overview of the bioinformatic.
Presentation transcript:

Mining bacterial genomes for laccases University of Ljubljana, Biotechnical Faculty Dept. of Food Science and Technology, Chair of Microbiology Mining bacterial genomes for laccases Luka Ausec, Marko Verce, Miha Črnigoj, Vesna Jerman, Ines Mandić-Mulec The 2nd International Symposium “VERA JOHANIDES”, Zagreb, May 11 2013

Why care about laccases What do they do? How do they do it?

Why care about laccases What do they do? How do they do it? Environmentally friendly

Fungal vs. Bacterial Laccases Ease of pruduction Substrate range pH and temperature optimum Salt tolerance

Sources of novel bacterial laccases DNA potential Activty related cultured strains unknown known metagenomics bioinformatics

From genomes to pool of potentials 75% of genes encode signal peptides 2,200 draft and completed genomes 1,240 putative laccase genes 6.5 % on plasmids Ausec, Zakrzewski et al., PLoS ONE 2011

Mining the pool, #1: extremophile Laccase from Thioalkalivibrio sp. substrates substrate optimal pH ABTS 5 K4Fe(CN)6 pyrocatechol 8 pyrogallol 7 2,6-DMP 9.5 syringaldehyde syringic acid N.A. syringaldazine guaiacol Vanillic acid ferulic acid tyrosine pH optima pH

Mining the pool, #2: anaerobe Laccase from Geobacter metallireducens pH optimum temperature optimum

Conclusions Bacterial laccases are diverse Bioinformatic (HMM-based) approaches successful Bacterial laccases have promissing traits for biotechnological applications

Thank you. luka.ausec@bf.uni-lj.si

Bioinformatic analysis of bacterial laccase-like genes >2200 completed and draft bacterial genomes METHODS: profile Hidden Markov Models (pHMM) 5 models constructed

2-domain laccases 3-domain laccases

Figure 3 - List of species encoding laccase genes and possessing plasmids in their genomes. The bars represent the number of laccase genes in the genome (black) and the number of laccase genes on plasmids (gray). The length of the bar shows the total number of genes for each organism. 76 genes on plasmids of 46 organisms