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
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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)