The Evolution of Microbes and Their Genomes: A Phylogenomic Perspective Jonathan A. Eisen October 3, 2009.

Slides:



Advertisements
Similar presentations
Journal Club Jenny Gu October 24, Introduction Defining the subset of Superfamilies in LUCA Examine adaptability and expansion of particular superfamilies.
Advertisements

Luciano Brocchieri, PhD Research Interests. Summary of Research Interests 1.Gene identification and genome annotation 2.The evolution of genome-sequence.
Summer Bioinformatics Workshop 2008 Comparative Genomics and Phylogenetics Chi-Cheng Lin, Ph.D., Professor Department of Computer Science Winona State.
Operating as a User Facility Science GEBA / Bergey Pilot Project (part 1) Update.
The Emerging Global Community of Microbial Metagenomics Researchers Opening Talk Metagenomics 2007 July 11, 2007 Dr. Larry Smarr Director,
What Is Genomics? Genomics is the study of how the entire genome of a species functions as a unit and evolves over time. It is the study of life’s blueprint,
Systems Biology Existing and future genome sequencing projects and the follow-on structural and functional analysis of complete genomes will produce an.
Bioinformatics for Whole-Genome Shotgun Sequencing of Microbial Communities By Kevin Chen, Lior Pachter PLoS Computational Biology, 2005 David Kelley.
Microbial response to changing environments. Changes in physiology Inherited reversible changes.
Central Dogma Information storage in biological molecules DNA RNA Protein transcription translation replication.
Brock Biology of Microorganisms
Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.
The Sorcerer II Global ocean sampling expedition Katrine Lekang Global Ocean Sampling project (GOS) Global Ocean Sampling project (GOS) CAMERA CAMERA METAREP.
Subsystem Approach to Genome Annotation National Microbial Pathogen Data Resource Claudia Reich NCSA, University of Illinois, Urbana.
The Microbiome and Metagenomics
Zachary Bendiks. Jonathan Eisen  UC Davis Genome Center  Lab focus: “Our work focuses on genomic basis for the origin of novelty in microorganisms (how.
GTL User Facilities Facility II: Whole Proteome Analysis Michelle V. Buchanan.
From Metagenomic Sample to Useful Visual Anna Shcherbina 01/10/ Anna Shcherbina Bioinformatics Challenge Day 02/02/2013 From Metagenomic Sample to.
Probes can be designed in an evolutionary hierarchy.
Evolutionary questions at DUSEL. overview Background: Recent progress in microbial evolution, comparative genomics, community genomics Some examples of.
Automatic ssu- rRNA novelty ranking pipeline Ssu-RNA sequence s One ranking score for each sequence for phylogenetic novelty Dongying Wu 03/2015.
Overview. What is Annotation? Annotation is the process of determining the location and function of all identifiable genes in a genome. Annotation is.
Measuring the T m of DNA GC pairs connected by 3 H bonds AT pairs connected by 2 H bonds * Higher GC content  higher T m Absorbance of 260 nM light (UV)
 16S rRNA gene marker  intra-gene variability  primer selection  size & information content Primer selection, information content, alignment and length.
Identify gene markers for different taxonomic groups in Archaea and Bacteria Genomes Dongying Wu 1,2, Jonathan A. Eisen 1,2 1. DOE Joint Genome Institute,
Phylogeny of bacteria. Nonproteobacteria gram-negative bacteria Many gram-negative bacteria belong to diverse phyla which differ from the proteobacteria.
Microbial Ecology Oded Beja Introduction Syllabus presentation What is microbial diversity?
Metagenome Analysis: a case study Analysis of a thermophilic terephthalate-degrading syntrophic community Thanos Lykidis.
Roadmap for Soil Community Metagenomics of DOE’s FACE & OTC Sites
“Living in a Microbial World” Global Health Program Council on Foreign Relations New York, NY April 10, 2014 Dr. Larry Smarr Director, California Institute.
Anatomy of a Genome Project A.Sequencing 1. De novo vs. ‘resequencing’ 2.Sanger WGS versus ‘next generation’ sequencing 3.High versus low sequence coverage.
Figure S1 The North Sea beach of the Dutch barrier island of Schiermonnikoog (N53°30’ E6°10’). The transect indicates the chronosequence along the developing.
Microbial genomics Genomics: study of entire genomes Logical next step after genetics: study of genes Genomics: 1) “Structural genomics” * Determine and.
Big Picture Of ≈1.7 million species classified so far, roughly 6000 are microbes True number of microbes is obviously larger than 6000 “Imagine if our.
The Earth Is Old! Radiometric dating of rocks (amîtsoq gneisses) from Western Greenland Similar results from Australia, Wisconsin, Africa and Russia.
Phylogenomics “The intersection of phylogenetics and genomics”
CompostBin : A DNA composition based metagenomic binning algorithm Sourav Chatterji *, Ichitaro Yamazaki, Zhaojun Bai and Jonathan Eisen UC Davis
GEBA Project Summary Dongying Wu. Phylogenetic Tree Building (Martin Wu) Concatenate alignments of 31 marker genes build a PHYML tree 667 non-GEBA genomes,
Chapter 10 Phylogenetic Basics. Similarities and divergence between biological sequences are often represented by phylogenetic trees Phylogenetics is.
The Microbiome and Metagenomics
Major characteristics used in taxonomy
Section 26.5: Horizontal Gene Transfer By Monica Macaro.
Environmental Genome Shotgun Sequencing of the Sargasso Sea Venter et. al (2004) Presented by Ken Vittayarukskul Steven S. White.
Chapter 1 Principles of Life. All organisms Are composed of a common set of chemical components. Genetic information that uses a nearly universal code.
Using Online Resources. Dave Westenberg Associate Professor of Biology Missouri S&T Using Available Online Resources to Facilitate the Flipped Classroom.
Molecular Clocks and Continued Research
It’s the small things in life The perils and power of microbes.
Effect of Pulsed Feeding on Growth, Gut Metagenome, and Intestinal Nutrient Transporters of Tilapia in Pond Culture Russell J. Borski 1, Scott A. Salger.
Date of download: 6/23/2016 Copyright © 2016 McGraw-Hill Education. All rights reserved. Pipeline for culture-independent studies of a microbiota. (A)
General Microbiology (Micr300)
Date of download: 7/7/2016 Copyright © 2016 McGraw-Hill Education. All rights reserved. Pipeline for culture-independent studies of a microbiota. (A) DNA.
Prokaryotes capture solar energy
Quantitative Phylogenetic Assessment of Microbial Communities in Diverse Environments Xinjun Zhang.
Rob Edwards San Diego State University
Announcements.
Production Genomics Facility
a) SW PO TFS AHEC HAFS PSMS BSM RSM POCR Relative abundance
Omolola C. Betiku1,2. , Carl J. Yeoman2, T. Gibson Gaylord1, Suzanne L
Prioritize Organism Selection for the Genomic Encyclopedia Project to Optimize Phylogenetic Diversity Dongying Wu April 10, 2007.
Research in Computational Molecular Biology , Vol (2008)
Pipelines for Computational Analysis (Bioinformatics)
Horizontal gene transfer and the history of life
Unit 1 - The Origins of Life
Supplemental material for Wang et al
Genome Projects Maps Human Genome Mapping Human Genome Sequencing
Genomic Data Manipulation
Volume 20, Issue 5, Pages (November 2014)
(A, left) Radial cladogram based on RAxML-based maximum-likelihood phylogeny (500 bootstraps, gamma distribution model, and LG+F substitution model) constructed.
Volume 20, Issue 5, Pages (November 2014)
Maximum-likelihood phylogenetic tree of the bacterial domain, highlighting heterotrophic taxa most commonly found associated with diatoms. Maximum-likelihood.
Presentation transcript:

The Evolution of Microbes and Their Genomes: A Phylogenomic Perspective Jonathan A. Eisen October 3, 2009

“Nothing in biology makes sense except in the light of evolution.” T. Dobzhansky (1973)

Origin of New Functions and Processes Species Evolution Genome Dynamics Eisen Lab - Phylogenomics of Novelty New genes Changes in old genes Changes in pathways Phylogenetic history Vertical vs. horizontal descent Needed to track gain/loss of processes, infer convergence Evolvability Repair and recombination processes Intragenomic variation

Phylogenomic Analysis Evolutionary reconstructions greatly improve genome analyses Genome analysis greatly improves evolutionary reconstructions There is a feedback loop such that these should be integrated

56.1 The Global Ecosystem’s Compartments are Connected by the Flow of Elements

26.23 Some Would Call It Hell; These Archaea Call It Home

Human commensals

Deep Sea Ecosystems

Fleischmann et al. 1995

Whole Genome Shotgun Sequencingshotgun sequence Warner Brothers, Inc.

Assemble Fragments sequencer output assemble fragments Closure & Annotation

From

Major Microbial Sequencing Efforts Coordinated, top-down efforts –Fungal Genome Initiative (Broad/Whitehead)Fungal Genome Initiative –Gordon and Betty Moore Foundation Marine Microbial Genome Sequencing ProjectGordon and Betty Moore Foundation Marine Microbial Genome Sequencing Project –Sanger Center Pathogen Sequencing UnitSanger Center Pathogen Sequencing Unit –NHGRI Human Gut Microbiome ProjectNHGRI Human Gut Microbiome Project –NIH Human Microbiome Program White paper or grant systems –NIAID Microbial Sequencing CentersNIAID Microbial Sequencing Centers –DOE/JGI Community Sequencing ProgramDOE/JGI Community Sequencing Program –DOE/JGI BER Sequencing ProgramDOE/JGI BER Sequencing Program –NSF/USDA Microbial Genome SequencingNSF/USDA Microbial Genome Sequencing Covers lots of ground and biological diversity

Genome Sequences Have Revolutionized Microbiology Predictions of metabolic processes Better vaccine and drug design New insights into mechanisms of evolution Genomes serve as template for functional studies New enzymes and materials for engineering and synthetic biology

16

17

18

rRNA Tree of Life

The Tree is not Happy

Acidobacteria Bacteroides Fibrobacteres Gemmimonas Verrucomicrobia Planctomycetes Chloroflexi Proteobacteria Chlorobi Firmicutes Fusobacteria Actinobacteria Cyanobacteria Chlamydia Spriochaetes Deinococcus-Thermus Aquificae Thermotogae TM6 OS-K Termite Group OP8 Marine GroupA WS3 OP9 NKB19 OP3 OP10 TM7 OP1 OP11 Nitrospira Synergistes Deferribacteres Thermudesulfobacteria Chrysiogenetes Thermomicrobia Dictyoglomus Coprothmermobacter At least 40 phyla of bacteria As of 2002 Based on Hugenholtz, 2002

Acidobacteria Bacteroides Fibrobacteres Gemmimonas Verrucomicrobia Planctomycetes Chloroflexi Proteobacteria Chlorobi Firmicutes Fusobacteria Actinobacteria Cyanobacteria Chlamydia Spriochaetes Deinococcus-Thermus Aquificae Thermotogae TM6 OS-K Termite Group OP8 Marine GroupA WS3 OP9 NKB19 OP3 OP10 TM7 OP1 OP11 Nitrospira Synergistes Deferribacteres Thermudesulfobacteria Chrysiogenetes Thermomicrobia Dictyoglomus Coprothmermobacter At least 40 phyla of bacteria Genome sequences are mostly from three phyla As of 2002 Based on Hugenholtz, 2002

Acidobacteria Bacteroides Fibrobacteres Gemmimonas Verrucomicrobia Planctomycetes Chloroflexi Proteobacteria Chlorobi Firmicutes Fusobacteria Actinobacteria Cyanobacteria Chlamydia Spriochaetes Deinococcus-Thermus Aquificae Thermotogae TM6 OS-K Termite Group OP8 Marine GroupA WS3 OP9 NKB19 OP3 OP10 TM7 OP1 OP11 Nitrospira Synergistes Deferribacteres Thermudesulfobacteria Chrysiogenetes Thermomicrobia Dictyoglomus Coprothmermobacter At least 40 phyla of bacteria Genome sequences are mostly from three phyla Some other phyla are only sparsely sampled As of 2002 Based on Hugenholtz, 2002

Acidobacteria Bacteroides Fibrobacteres Gemmimonas Verrucomicrobia Planctomycetes Chloroflexi Proteobacteria Chlorobi Firmicutes Fusobacteria Actinobacteria Cyanobacteria Chlamydia Spriochaetes Deinococcus-Thermus Aquificae Thermotogae TM6 OS-K Termite Group OP8 Marine GroupA WS3 OP9 NKB19 OP3 OP10 TM7 OP1 OP11 Nitrospira Synergistes Deferribacteres Thermudesulfobacteria Chrysiogenetes Thermomicrobia Dictyoglomus Coprothmermobacter At least 40 phyla of bacteria Genome sequences are mostly from three phyla Some other phyla are only sparsely sampled Same trend in Archaea As of 2002 Based on Hugenholtz, 2002

Need for Tree Guidance Well Established Common approach within some eukaryotic groups Many small projects funded to fill in some bacterial or archaeal gaps Phylogenetic gaps in bacterial and archaeal projects commonly lamented in literature

Acidobacteria Bacteroides Fibrobacteres Gemmimonas Verrucomicrobia Planctomycetes Chloroflexi Proteobacteria Chlorobi Firmicutes Fusobacteria Actinobacteria Cyanobacteria Chlamydia Spriochaetes Deinococcus-Thermus Aquificae Thermotogae TM6 OS-K Termite Group OP8 Marine GroupA WS3 OP9 NKB19 OP3 OP10 TM7 OP1 OP11 Nitrospira Synergistes Deferribacteres Thermudesulfobacteria Chrysiogenetes Thermomicrobia Dictyoglomus Coprothmermobacter At least 40 phyla of bacteria Genome sequences are mostly from three phyla Some other phyla are only sparsely sampled Solution I: sequence more phyla NSF-funded Tree of Life Project A genome from each of eight phyla Eisen, Ward, Badger, Wu, Wu, et al.

The Tree of Life is Still Angry

Major Lineages of Actinobacteria

Acidobacteria Bacteroides Fibrobacteres Gemmimonas Verrucomicrobia Planctomycetes Chloroflexi Proteobacteria Chlorobi Firmicutes Fusobacteria Actinobacteria Cyanobacteria Chlamydia Spriochaetes Deinococcus-Thermus Aquificae Thermotogae TM6 OS-K Termite Group OP8 Marine GroupA WS3 OP9 NKB19 OP3 OP10 TM7 OP1 OP11 Nitrospira Synergistes Deferribacteres Thermudesulfobacteria Chrysiogenetes Thermomicrobia Dictyoglomus Coprothmermobacter At least 100 phyla of bacteria Genome sequences are mostly from three phyla Most phyla with cultured species are sparsely sampled Lineages with no cultured taxa even more poorly sampled Solution - use tree to really fill gaps Well sampled phyla

GEBA Pilot Project Overview Identify major branches in rRNA tree for which no genomes are available Identify a cultured representative for each group Grow > 200 of these and prep. DNA Sequence and finish 100 Annotate, analyze, release data Assess benefits of tree guided sequencing

Some Lessons From GEBA

GEBA Lesson 1 rRNA Tree of Life is a Useful Guide and Genomes Improve Resolution

rRNA Tree of Life

GEBA Lesson 2 Phylogenetically Guided Selection Can Help Annotate Other Genomes

Predicting Function Identification of motifs –Small sequence elements that code for some general activity (e.g., ATPase) Homology/similarity based methods –Identify longer stretches of similarity to genes with known function Evolutionary reconstructions

Evolutionary Functional Prediction Based on Eisen, 1998 Genome Res 8: Genome Res 8:

Recent Functional Changes Phylogenomic functional prediction may not work well for very newly evolved functions Screen genomes for genes that have changed recently Examples: –Acquisition (e.g., LGT) –Unusual dS/dN ratios –Rapid evolutionary rates –Duplication and divergence E.coli gi B.subtilis gi Synechocystis sp. gi Synechocystis sp. gi Synechocystis sp. gi Synechocystis sp. gi H.pylori gi H.pylori99 gi C.jejuni Cj1190c C.jejuni Cj1110c A.fulgidus gi A.fulgidus gi B.subtilis gi B.subtilis gi B.subtilis gi B.subtilis gi B.subtilis gi B.subtilis gi B.subtilis gi E.coli gi E.coli gi E.coli gi E.coli gi C.jejuni Cj0144 C.jejuni Cj0262c H.pylori gi H.pylori99 gi C.jejuni Cj1564 C.jejuni Cj1506c H.pylori gi H.pylori99 gi H.pylori gi H.pylori99 gi C.jejuni Cj0019c C.jejuni Cj0951c C.jejuni Cj0246c B.subtilis gi T.maritima TM0014 T.pallidum gi T.pallidum gi T.pallidum gi B.burgdorferi gi T.pallidum gi B.burgdorferi gi T.maritima TM0429 T.maritima TM0918 T.maritima TM0023 T.maritima TM1428 T.maritima TM1143 T.maritima TM1146 P.abyssi PAB1308 P.horikoshii gi P.abyssi PAB1336 P.horikoshii gi P.abyssi PAB2066 P.horikoshii gi P.abyssi PAB1026 P.horikoshii gi D.radiodurans DRA00354 D.radiodurans DRA0353 D.radiodurans DRA0352 P.abyssi PAB1189 P.horikoshii gi B.burgdorferi gi M.tuberculosis gi V.cholerae VC0512 V.cholerae VCA1034 V.cholerae VCA0974 V.cholerae VCA0068 V.cholerae VC0825 V.cholerae VC0282 V.cholerae VCA0906 V.cholerae VCA0979 V.cholerae VCA1056 V.cholerae VC1643 V.cholerae VC2161 V.cholerae VCA0923 V.cholerae VC0514 V.cholerae VC1868 V.cholerae VCA0773 V.cholerae VC1313 V.cholerae VC1859 V.cholerae VC1413 V.cholerae VCA0268 V.cholerae VCA0658 V.cholerae VC1405 V.cholerae VC1298 V.cholerae VC1248 V.cholerae VCA0864 V.cholerae VCA0176 V.cholerae VCA0220 V.cholerae VC1289 V.choleraeVCA1069 V.cholerae VC2439 V.choleraeVC1967 V.cholerae VCA0031 V.cholerae VC1898 V.cholerae VCA0663 V.choleraeVCA0988 V.cholerae VC0216 V.cholerae VC0449 V.cholerae VCA0008 V.cholerae VC1406 V.cholerae VC1535 V.cholerae VC0840 V.cholerae VC0098 V.cholerae VCA1092 V.cholerae VC1403 V.cholerae VCA1088 V.cholerae VC1394 V.cholerae VC0622 NJ ** * * * * * * * * * * *

Non homology functional prediction Many genes have homologs in other species but no homologs have ever been studied experimentally Non-homology methods can make functional predictions for these Example: correlated presence/absence of genes across species

Most/All Functional Prediction Improves w/ Better Phylogenetic Sampling Better definition of protein family sequence “patterns” Greatly improves “comparative” and “evolutionary” based predictions Conversion of hypothetical into conserved hypotheticals Linking distantly related members of protein families Improved non-homology prediction

GEBA Lesson 3 Phylogenetically Guided Selection Can Help Study Uncultured Organisms

Great Plate Count Anomaly Culturing Microscope Count

Great Plate Count Anomaly Culturing Microscope Count <<<<

Great Plate Count Anomaly Culturing Microscope Count <<<< DNA

PCR Saves the Day

Sequencing and uncultured microbes I: rRNA surveys

rRNA: A Phylogenetic Anchor to Determine Who’s Out There Eisen et al Biology not similar enough

Perna et al. 2003

Environmental Shotgun Sequencingshotgun sequence

Novel Form of Phototrophy Beja et al. 2000

ABCDEFGABCDEFG TUVWXYZTUVWXYZ Binning challenge

Glassy Winged Sharpshooter Feeds on xylem sap Vector for Pierce’s Disease Potential bioterror agent

Xylem and Phloem From Lodish et al. 2000

Wu et al PLoS Biology 4: e188.PLoS Biology 4: e188

Sharpshooter Shotgun Sequencingshotgun Wu et al PLoS Biology 4: e188.PLoS Biology 4: e188 Collaboration with Nancy Moran’s lab

Wu et al PLoS Biology 4: e188.PLoS Biology 4: e188 Baumannia makes amino acids Sulcia makes vitamins and cofactors

ABCDEFGABCDEFG TUVWXYZTUVWXYZ Binning challenge

GEBA Lesson 4 We have still only scratched the surface of microbial diversity

Protein Family Rarefaction Curves Take data set of multiple complete genomes Identify all protein families using MCL Plot # of genomes vs. # of protein families

Mobile Motility Element?

Phylogenetic Distribution Novelty: 1st Bacterial Actin Related Protein Haliangium ochraceum DSM 14365

Phylogenetic Diversity: Sequenced Bacteria & Archaea

Phylogenetic Diversity with GEBA

Phylogenetic Diversity: Isolates

Phylogenetic Diversity: All

Acidobacteria Bacteroides Fibrobacteres Gemmimonas Verrucomicrobia Planctomycetes Chloroflexi Proteobacteria Chlorobi Firmicutes Fusobacteria Actinobacteria Cyanobacteria Chlamydia Spriochaetes Deinococcus-Thermus Aquificae Thermotogae TM6 OS-K Termite Group OP8 Marine GroupA WS3 OP9 NKB19 OP3 OP10 TM7 OP1 OP11 Nitrospira Synergistes Deferribacteres Thermudesulfobacteria Chrysiogenetes Thermomicrobia Dictyoglomus Coprothmermobacter At least 40 phyla of bacteria Genome sequences are mostly from three phyla Most phyla with cultured species are sparsely sampled Lineages with no cultured taxa even more poorly sampled Well sampled phyla Poorly sampled No cultured taxa

Uncultured Lineages: Technical Approaches Get into culture Enrichment cultures If abundant in low diversity ecosystems Flow sorting Microbeads Microfluidic sorting Single cell amplification

GEBA Lesson 6 Need Experiments from Across the Tree of Life too

Acidobacteria Bacteroides Fibrobacteres Gemmimonas Verrucomicrobia Planctomycetes Chloroflexi Proteobacteria Chlorobi Firmicutes Fusobacteria Actinobacteria Cyanobacteria Chlamydia Spriochaetes Deinococcus-Thermus Aquificae Thermotogae TM6 OS-K Termite Group OP8 Marine GroupA WS3 OP9 NKB19 OP3 OP10 TM7 OP1 OP11 Nitrospira Synergistes Deferribacteres Thermudesulfobacteria Chrysiogenetes Thermomicrobia Dictyoglomus Coprothmermobacter At least 40 phyla of bacteria As of 2002 Based on Hugenholtz, 2002

Acidobacteria Bacteroides Fibrobacteres Gemmimonas Verrucomicrobia Planctomycetes Chloroflexi Proteobacteria Chlorobi Firmicutes Fusobacteria Actinobacteria Cyanobacteria Chlamydia Spriochaetes Deinococcus-Thermus Aquificae Thermotogae TM6 OS-K Termite Group OP8 Marine GroupA WS3 OP9 NKB19 OP3 OP10 TM7 OP1 OP11 Nitrospira Synergistes Deferribacteres Thermudesulfobacteria Chrysiogenetes Thermomicrobia Dictyoglomus Coprothmermobacter At least 40 phyla of bacteria Experimental studies are mostly from three phyla As of 2002 Based on Hugenholtz, 2002

Acidobacteria Bacteroides Fibrobacteres Gemmimonas Verrucomicrobia Planctomycetes Chloroflexi Proteobacteria Chlorobi Firmicutes Fusobacteria Actinobacteria Cyanobacteria Chlamydia Spriochaetes Deinococcus-Thermus Aquificae Thermotogae TM6 OS-K Termite Group OP8 Marine GroupA WS3 OP9 NKB19 OP3 OP10 TM7 OP1 OP11 Nitrospira Synergistes Deferribacteres Thermudesulfobacteria Chrysiogenetes Thermomicrobia Dictyoglomus Coprothmermobacter At least 40 phyla of bacteria Experimental studies are mostly from three phyla Some studies in other phyla As of 2002 Based on Hugenholtz, 2002

Acidobacteria Bacteroides Fibrobacteres Gemmimonas Verrucomicrobia Planctomycetes Chloroflexi Proteobacteria Chlorobi Firmicutes Fusobacteria Actinobacteria Cyanobacteria Chlamydia Spriochaetes Deinococcus-Thermus Aquificae Thermotogae TM6 OS-K Termite Group OP8 Marine GroupA WS3 OP9 NKB19 OP3 OP10 TM7 OP1 OP11 Nitrospira Synergistes Deferribacteres Thermudesulfobacteria Chrysiogenetes Thermomicrobia Dictyoglomus Coprothmermobacter At least 40 phyla of bacteria Genome sequences are mostly from three phyla Some other phyla are only sparsely sampled Same trend in Eukaryotes As of 2002 Based on Hugenholtz, 2002

Acidobacteria Bacteroides Fibrobacteres Gemmimonas Verrucomicrobia Planctomycetes Chloroflexi Proteobacteria Chlorobi Firmicutes Fusobacteria Actinobacteria Cyanobacteria Chlamydia Spriochaetes Deinococcus-Thermus Aquificae Thermotogae TM6 OS-K Termite Group OP8 Marine GroupA WS3 OP9 NKB19 OP3 OP10 TM7 OP1 OP11 Nitrospira Synergistes Deferribacteres Thermudesulfobacteria Chrysiogenetes Thermomicrobia Dictyoglomus Coprothmermobacter At least 40 phyla of bacteria Genome sequences are mostly from three phyla Some other phyla are only sparsely sampled Same trend in Viruses As of 2002 Based on Hugenholtz, 2002

0.1 Acidobacteria Bacteroides Fibrobacteres Gemmimonas Verrucomicrobia Planctomycetes Chloroflexi Proteobacteria Chlorobi Firmicutes Fusobacteria Actinobacteria Cyanobacteria Chlamydia Spriochaetes Deinococcus-Thermus Aquificae Thermotogae TM6 OS-K Termite Group OP8 Marine GroupA WS3 OP9 NKB19 OP3 OP10 TM7 OP1 OP11 Nitrospira Synergistes Deferribacteres Thermudesulfobacteria Chrysiogenetes Thermomicrobia Dictyoglomus Coprothmermobacter Tree based on Hugenholtz (2002) with some modifications. Need experimental studies from across the tree too

MICROBES

A Happy Tree of Life

GEBA Pilot Project: Components Project overview (Phil Hugenholtz, Nikos Kyrpides, Jonathan Eisen) Project management (David Bruce, Lynne Goodwin et al) Culture collection and DNA prep (DSMZ, Hans-Peter Klenk) Libraries and DNA (Eileen Dalin et al) Sequencing and closure (Susan Lucas, Alla Lapidus et al.) Annotation and data release (Nikos Kyrpides) Analysis (Dongying Wu, Kostas Mavrommatis, Martin Wu, Jenna Morgan, Victor Kunin, Marcel Huntemann, Neil Rawlings, Ian Paulsen, Patrick Chain, Patrik D’Haeseleer, Sean Hooper, Iain Anderson) Adopt a microbe education project (Cheryl Kerfeld) Outreach (David Gilbert) $$$ (DOE, Eddy Rubin, Jim Bristow)