The Evolution of Microbes and Their Genomes: A Phylogenomic Perspective

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The Evolution of Microbes and Their Genomes: A Phylogenomic Perspective

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Title: The Evolution of Microbes and Their Genomes: A Phylogenomic Perspective


1
The Evolution of Microbes and Their Genomes A
Phylogenomic Perspective
  • Jonathan A. Eisen
  • October 3, 2009

2
Nothing in biology makes sense except in the
light of evolution. T. Dobzhansky (1973)
3
Eisen Lab - Phylogenomics of Novelty
Origin of New Functions and Processes
Genome Dynamics
  • Evolvability
  • Repair and recombination processes
  • Intragenomic variation
  • New genes
  • Changes in old genes
  • Changes in pathways

Species Evolution
  • Phylogenetic history
  • Vertical vs. horizontal descent
  • Needed to track gain/loss of processes, infer
    convergence

4
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

5
56.1 The Global Ecosystems Compartments are
Connected by the Flow of Elements
6
26.23 Some Would Call It Hell These Archaea
Call It Home
7
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8
Human commensals
9
Deep Sea Ecosystems
10
Fleischmann et al. 1995
11
Whole Genome Shotgun Sequencing
12
Assemble Fragments
13
From http//genomesonline.org
14
Major Microbial Sequencing Efforts
  • Coordinated, top-down efforts
  • Fungal Genome Initiative (Broad/Whitehead)
  • Gordon and Betty Moore Foundation Marine
    Microbial Genome Sequencing Project
  • Sanger Center Pathogen Sequencing Unit
  • NHGRI Human Gut Microbiome Project
  • NIH Human Microbiome Program
  • White paper or grant systems
  • NIAID Microbial Sequencing Centers
  • DOE/JGI Community Sequencing Program
  • DOE/JGI BER Sequencing Program
  • NSF/USDA Microbial Genome Sequencing
  • Covers lots of ground and biological diversity

15
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
16
17
17
18
18
19
rRNA Tree of Life
20
The Tree is not Happy
21
As of 2002
  • At least 40 phyla of bacteria

Acidobacteria
Bacteroides
Fibrobacteres
Gemmimonas
Verrucomicrobia
Planctomycetes
Chloroflexi
Based on Hugenholtz, 2002
22
As of 2002
  • At least 40 phyla of bacteria
  • Genome sequences are mostly from three phyla

Acidobacteria
Bacteroides
Fibrobacteres
Gemmimonas
Verrucomicrobia
Planctomycetes
Chloroflexi
Based on Hugenholtz, 2002
23
As of 2002
  • At least 40 phyla of bacteria
  • Genome sequences are mostly from three phyla
  • Some other phyla are only sparsely sampled

Acidobacteria
Bacteroides
Fibrobacteres
Gemmimonas
Verrucomicrobia
Planctomycetes
Chloroflexi
Based on Hugenholtz, 2002
24
As of 2002
  • At least 40 phyla of bacteria
  • Genome sequences are mostly from three phyla
  • Some other phyla are only sparsely sampled
  • Same trend in Archaea

Acidobacteria
Bacteroides
Fibrobacteres
Gemmimonas
Verrucomicrobia
Planctomycetes
Chloroflexi
Based on Hugenholtz, 2002
25
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

26
  • NSF-funded Tree of Life Project
  • A genome from each of eight phyla
  • 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

Acidobacteria
Bacteroides
Fibrobacteres
Gemmimonas
Verrucomicrobia
Planctomycetes
Eisen, Ward, Badger, Wu, Wu, et al.
Chloroflexi
27
The Tree of Life is Still Angry
28
Major Lineages of Actinobacteria
29
  • 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

Acidobacteria
Bacteroides
Fibrobacteres
Gemmimonas
Verrucomicrobia
Planctomycetes
Chloroflexi
Well sampled phyla
30
http//www.jgi.doe.gov/programs/GEBA/pilot.html
31
GEBA Pilot Project Overview
  • Identify major branches in rRNA tree for which no
    genomes are available
  • Identify a cultured representative for each group
  • Grow gt 200 of these and prep. DNA
  • Sequence and finish 100
  • Annotate, analyze, release data
  • Assess benefits of tree guided sequencing

32
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33
Some Lessons From GEBA
34
GEBA Lesson 1
  • rRNA Tree of Life is a Useful Guide and Genomes
    Improve Resolution

35
rRNA Tree of Life
36
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37
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38
GEBA Lesson 2
  • Phylogenetically Guided Selection Can Help
    Annotate Other Genomes

39
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

40
Evolutionary Functional Prediction
Based on Eisen, 1998 Genome Res 8 163-167.
41
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

42
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

43
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

44
GEBA Lesson 3
  • Phylogenetically Guided Selection Can Help Study
    Uncultured Organisms

45
Great Plate Count Anomaly
Microscope
Culturing
Count
Count
46
Great Plate Count Anomaly
Microscope
Culturing
Count
Count
ltltltlt
47
Great Plate Count Anomaly
DNA
Microscope
Culturing
Count
Count
ltltltlt
48
PCR Saves the Day
49
Sequencing and uncultured microbes I rRNA
surveys
50
rRNA A Phylogenetic Anchor to Determine Whos
Out There
Biology not similar enough
Eisen et al. 1992
51
Perna et al. 2003
52
Environmental Shotgun Sequencing
53
Novel Form of Phototrophy
Beja et al. 2000
54
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55
Binning challenge
A B C D E F G
T U V W X Y Z
56
Glassy Winged Sharpshooter
  • Feeds on xylem sap
  • Vector for Pierces Disease
  • Potential bioterror agent

57
Xylem and Phloem
From Lodish et al. 2000
58
Wu et al. 2006 PLoS Biology 4 e188.
59
Sharpshooter Shotgun Sequencing
shotgun
Collaboration with Nancy Morans lab
Wu et al. 2006 PLoS Biology 4 e188.
60
Sulcia makes vitamins and cofactors
Baumannia makes amino acids
Wu et al. 2006 PLoS Biology 4 e188.
61
Binning challenge
A B C D E F G
T U V W X Y Z
62
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63
GEBA Lesson 4
  • We have still only scratched the surface of
    microbial diversity

64
Protein Family Rarefaction Curves
  • Take data set of multiple complete genomes
  • Identify all protein families using MCL
  • Plot of genomes vs. of protein families

65
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66
MobileMotilityElement?
67
Phylogenetic Distribution Novelty 1st Bacterial
Actin Related Protein
Haliangium ochraceum DSM 14365
68
Phylogenetic Diversity Sequenced Bacteria
Archaea
69
Phylogenetic Diversity with GEBA
70
Phylogenetic Diversity Isolates
71
Phylogenetic Diversity All
72
  • 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

Acidobacteria
Bacteroides
Fibrobacteres
Gemmimonas
Verrucomicrobia
Planctomycetes
Chloroflexi
Well sampled phyla
Poorly sampled
No cultured taxa
73
Uncultured LineagesTechnical Approaches
  • Get into culture
  • Enrichment cultures
  • If abundant in low diversity ecosystems
  • Flow sorting
  • Microbeads
  • Microfluidic sorting
  • Single cell amplification

74
GEBA Lesson 6
  • Need Experiments from Across the Tree of Life too

75
As of 2002
  • At least 40 phyla of bacteria

Acidobacteria
Bacteroides
Fibrobacteres
Gemmimonas
Verrucomicrobia
Planctomycetes
Chloroflexi
Based on Hugenholtz, 2002
76
As of 2002
  • At least 40 phyla of bacteria
  • Experimental studies are mostly from three phyla

Acidobacteria
Bacteroides
Fibrobacteres
Gemmimonas
Verrucomicrobia
Planctomycetes
Chloroflexi
Based on Hugenholtz, 2002
77
As of 2002
  • At least 40 phyla of bacteria
  • Experimental studies are mostly from three phyla
  • Some studies in other phyla

Acidobacteria
Bacteroides
Fibrobacteres
Gemmimonas
Verrucomicrobia
Planctomycetes
Chloroflexi
Based on Hugenholtz, 2002
78
As of 2002
  • At least 40 phyla of bacteria
  • Genome sequences are mostly from three phyla
  • Some other phyla are only sparsely sampled
  • Same trend in Eukaryotes

Acidobacteria
Bacteroides
Fibrobacteres
Gemmimonas
Verrucomicrobia
Planctomycetes
Chloroflexi
Based on Hugenholtz, 2002
79
As of 2002
  • At least 40 phyla of bacteria
  • Genome sequences are mostly from three phyla
  • Some other phyla are only sparsely sampled
  • Same trend in Viruses

Acidobacteria
Bacteroides
Fibrobacteres
Gemmimonas
Verrucomicrobia
Planctomycetes
Chloroflexi
Based on Hugenholtz, 2002
80
Need experimental studies from across the tree too
Acidobacteria
Bacteroides
Fibrobacteres
Gemmimonas
Verrucomicrobia
Planctomycetes
0.1
Chloroflexi
Tree based on
Hugenholtz (2002)
with some
modifications.
81
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82
MICROBES
83
A Happy Tree of Life
84
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
    DHaeseleer, Sean Hooper, Iain Anderson)
  • Adopt a microbe education project (Cheryl
    Kerfeld)
  • Outreach (David Gilbert)
  • (DOE, Eddy Rubin, Jim Bristow)
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