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Copyright © 2009 Pearson Education Inc., publishing as Pearson Benjamin Cummings
Brock Biology of Microorganisms
Twelfth Edition
Madigan / Martinko
Dunlap / Clark
Microbial Evolution and Systematics
Cha
pter
14
Lectures by Buchan & LeCleir
Copyright © 2009 Pearson Education Inc., publishing as Pearson Benjamin Cummings
I. Early Earth and the Origin and Diversification of Life
14.1 Formation and Early History of Earth
14.2 Origin of Cellular Life
14.3 Microbial Diversification: Consequences for
Earth’s Biosphere
14.4 Endosymbiotic Origin of Eukaryotes
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14.1 Formation and Early History of Earth
The Earth is ~ 4.5 billion years old
First evidence for microbial life can be found in
rocks ~ 3.86 billion years old (southwestern Green
land)
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Ancient Microbial Life
Figure 14.1
3.45 billion-year-old rocks, South Africa
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14.1 Formation and Early History of Earth
Stromatolites
Fossilized microbial mats consisting of layers of filamentous
prokaryotes and trapped sediment
Found in rocks 3.5 billion years old or younger
Comparisons of ancient and modern stromatolites provide
evidence that
Anoxygenic phototrophic filamentous bacteria formed ancient
stromatolites (relatives of the green nonsulfur bacterium
Chloroflexus)
Oxygenic phototrophic cyanobacteria dominate modern
stromatolites
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Ancient and Modern Stromatolites
Figure 14.2
3.5 billion yrs old 1.6 billion yrs old
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More Recent Fossil Bacteria and Eukaryotes
Figure 14.3
1 billion yrs old rocks
prokaryotes
eukaryotic cells
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14.2 Origin of Cellular Life
Early Earth was anoxic and much hotter than
present day (over 100 oC)
First biochemical compounds were made by abiotic
systems that set the stage for the origin of life
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14.2 Origin of Cellular Life
Surface Origin Hypothesis
Contends that the first membrane-enclosed, self-
replicating cells arose out of primordial soup rich in
organic and inorganic compounds in ponds on Earth’s
surface
Dramatic temperature fluctuations and mixing from
meteor impacts, dust clouds, and storms argue against
this hypothesis
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14.2 Origin of Cellular Life
Subsurface Origin Hypothesis
States that life originated at hydrothermal springs on
ocean floor
Conditions would have been more stable
Steady and abundant supply of energy (e.g., H2 and
H2S) may have been available at these sites
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Submarine Mound Formed at Ocean Hydrothermal Spring
Figure 14.4
Hot, reduced, alkaline hydrothermal fluid
Cooler, more oxidized, more acidic ocean water
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14.2 Origin of Cellular Life
Prebiotic chemistry of early Earth set stage for self-
replicating systems
First self-replicating systems may have been RNA-
based (RNA world theory)
RNA can bind small molecules (e.g., ATP, other
nucleotides)
RNA has catalytic activity; may have catalyzed its own
synthesis
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A Model for the Origin of Cellular Life
Figure 14.5
Last Universal Common Ancestor
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14.2 Origin of Cellular Life
DNA, a more stable molecule, eventually became
the genetic repository
Three-part systems (DNA, RNA, and protein)
evolved and became universal among cells
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14.2 Origin of Cellular Life
Other Important Steps in Emergence of Cellular
Life
Build up of lipids
Synthesis of phospholipid membrane vesicles that
enclosed the cell’s biochemical and replication
machinery
May have been similar to montmorillonite clay vesicles
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Lipid Vesicles Made in the Laboratory from Myristic Acid
Figure 14.6
RNAs
vesicle
Vesicles formed on Montmorillonite clay particles
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14.2 Origin of Cellular Life
Last Universal Common Ancestor (LUCA)
Population of early cells from which cellular life may
have diverged into ancestors of modern day Bacteria
and Archaea
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14.2 Origin of Cellular Life
As early Earth was anoxic, energy-generating
metabolism of primitive cells was exclusively
Anaerobic and likely chemolithotrophic
(autotrophic)
Obtained carbon from CO2
Obtained energy from H2; likely generated by H2S
reacting with FeS or UV light
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Major Landmarks in Biological Evolution
Figure 14.7
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A Possible Energy-Generating Scheme for Primitive Cells
Figure 14.8
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14.2 Origin of Cellular Life
Early forms of chemolithotrophic metabolism would
have supported production of large amounts of organic
compounds
Organic material provided abundant, diverse, and
continually renewed source of reduced organic carbon,
stimulating evolution of various chemoorganotrophic
metabolisms
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14.3 Microbial Diversification
Molecular evidence suggests ancestors of Bacteria
and Archaea diverged ~ 4 billion years ago
As lineages diverged, distinct metabolisms developed
Development of oxygenic photosynthesis dramatically
changed course of evolution
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14.3 Microbial Diversification
~ 2.7 billion years ago, cyanobacterial lineages developed
a photosystem that could use H2O instead of H2S,
generating O2
By 2.4 billion years ago, O2 concentrations raised to 1 part
per million; initiation of the Great Oxidation Event
O2 could not accumulate until it reacted with abundant
reduced materials in the oceans (i.e., FeS, FeS2)
Banded iron formations: laminated sedimentary rocks;
prominent feature in geological record
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Banded Iron Formations
Figure 14.9
Iron oxides
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14.3 Microbial Diversification
Development of oxic atmosphere led to evolution of
new metabolic pathways that yielded more energy
than anaerobic metabolisms
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14.3 Microbial Diversification
Oxygen also spurred evolution of organelle-
containing eukaryotic microorganisms
Oldest eukaryotic microfossils ~ 2 billion years old
Fossils of multicellular and more complex eukaryotes
are found in rocks 1.9 to 1.4 billion years old
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14.3 Microbial Diversification
Consequence of O2 for the evolution of life
Formation of ozone layer that provides a barrier against
UV radiation
Without this ozone shield, life would only have continued
beneath ocean surface and in protected terrestrial
environments
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14.4 Endosymbiotic Origin of Eukaryotes
Endosymbiosis
Well-supported hypothesis for origin of eukaryotic cells
Contends that mitochondria and chloroplasts arose
from symbiotic association of prokaryotes within
another type of cell
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14.4 Endosymbiotic Origin of Eukaryotes
Two hypotheses exist to explain the formation of
the eukaryotic cell
1) Eukaryotes began as nucleus-bearing lineage that
later acquired mitochondria and chloroplasts by
endosymbiosis
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Models for the Origin of the Eukaryotic Cell
Figure 14.10a
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14.4 Endosymbiotic Origin of Eukaryotes
Two hypotheses exist to explain the formation of
the eukaryotic cell (cont’d)
2) Eukaryotic cell arose from intracellular association
between O2-consuming bacterium (the symbiont),
which gave rise to mitochondria and an archaean host
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Models for the Origin of the Eukaryotic Cell
Figure 14.10b
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14.4 Endosymbiotic Origin of Eukaryotes
Both hypotheses suggest eukaryotic cell is chimeric
This is supported by several features
Eukaryotes have similar lipids and energy metabolisms
to Bacteria
Eukaryotes have transcription and translational
machinery most similar to Archaea
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Major Features Grouping Bacteria or Archaea with Eukarya
Table 14.1
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II. Microbial Evolution
14.5 The Evolutionary Process
14.6 Evolutionary Analysis: Theoretical Aspects
14.7 Evolutionary Analysis: Analytical Methods
14.8 Microbial Phylogeny
14.9 Applications of SSU rRNA Phylogenetic
Methods
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14.5 The Evolutionary Process
Mutations
Changes in the nucleotide sequence of an organism’s
genome
Occur because of errors in the fidelity of replication, UV
radiation, and other factors
Adaptative mutations improve fitness of an organism,
increasing its survival
Other genetic changes include gene duplication,
horizontal gene transfer, and gene loss
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14.6 Evolutionary Analysis: Theoretical Aspects
Phylogeny
Evolutionary history of a group of organisms
Inferred indirectly from nucleotide sequence data
Molecular clocks (chronometers)
Certain genes and proteins that are measures of
evolutionary change
Major assumptions of this approach are that nucleotide
changes occur at a constant rate, are generally neutral, and
random
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14.6 Evolutionary Analysis: Theoretical Aspects
The most widely used molecular clocks are small
subunit ribosomal RNA (SSU rRNA) genes
Found in all domains of life
16S rRNA in prokaryotes and 18S rRNA in eukaryotes
Functionally constant
Sufficiently conserved (change slowly)
Sufficient length
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Ribosomal RNA
Figure 14.11
16S rRNA from E. coli
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14.6 Evolutionary Analysis: Theoretical Aspects
Carl Woese
Pioneered the use of SSU rRNA for phylogenetic
studies in 1970s
Established the presence of three domains of life:
Bacteria, Archaea, and Eukarya
Provided a unified phylogenetic framework for Bacteria
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14.6 Evolutionary Analysis: Theoretical Aspects
The Ribosomal Database Project (RDP)
A large collection of rRNA sequences
Currently contains > 409,000 sequences
Provides a variety of analytical programs
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14.7 Evolutionary Analysis: Analytical Methods
Comparative rRNA sequencing is a routine
procedure that involves
Amplification of the gene encoding SSU rRNA
Sequencing of the amplified gene
Analysis of sequence in reference to other sequences
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PCR-Amplification of the 16S rRNA Gene
Figure 14.12
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General PCR Protocol
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14.7 Evolutionary Analysis: Analytical Methods
The first step in sequence analysis involves
aligning the sequence of interest with sequences
from homologous (orthologous) genes from other
strains or species
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Alignment of DNA Sequences
Figure 14.13
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14.7 Evolutionary Analysis: Analytical Methods
BLAST (Basic Local Alignment Search Tool)
Web-based tool of the National Institutes of Health
Aligns query sequences with those in GenBank
database
Helpful in identifying gene sequences
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14.7 Evolutionary Analysis: Analytical Methods
Phylogenetic Tree
Graphic illustration of the relationships among
sequences
Composed of nodes and branches
Branches define the order of descent and ancestry of
the nodes
Branch length represents the number of changes that
have occurred along that branch
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Phylogenetic Trees: Unrooted (a) and Rooted (b-d) Forms
Figure 14.14
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14.7 Evolutionary Analysis: Analytical Methods
Evolutionary analysis uses character-state methods
(cladistics) for tree reconstruction
Cladistic methods
Define phylogenetic relationships by examining changes in
nucleotides at individual positions in the sequence
Use those characters that are phylogenetically informative
and define monophyletic groups (a group which contains all
the descendants of a common ancestor; a clade)
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Identification of Phylogenetically Informative Sites
Figure 14.15
Dots: neutral sites.
Arrows: phylogenetically informative sites.
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14.7 Evolutionary Analysis: Analytical Methods
Common cladistic methods
Parsimony
Maximum likelihood
Bayesian analysis
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14.8 Microbial Phylogeny
The universal phylogenetic tree based on SSU rRNA
genes is a genealogy of all life on Earth
Animation: Generating Phylogenetic TreesAnimation: Generating Phylogenetic Trees
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Universal Phylogenetic Tree as Determined by rRNA Genes
Figure 14.16
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14.8 Microbial Phylogeny
Domain Bacteria
Contains at least 80 major evolutionary groups (phyla)
Many groups defined from environmental sequences
alone
i.e., no cultured representatives
Many groups are phenotypically diverse
i.e., physiology and phylogeny not necessarily linked
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14.8 Microbial Phylogeny
Eukaryotic organelles originated within Bacteria
Mitochondria arose from Proteobacteria
Chloroplasts arose from the cyanobacterial phylum
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14.8 Microbial Phylogeny
Domain Archaea consists of two major groups
Crenarchaeota
Euryarchaeota
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14.8 Microbial Phylogeny
Each of the three domains of life can be
characterized by various phenotypic properties
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Major Features Distinguishing Prokaryotes from Eukarya
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Major Features Distinguishing Prokaryotes from Eukarya
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14.9 Applications of SSU rRNA Phylogenetic Methods
Signature Sequences
Short oligonucleotides unique to certain groups of organisms
Often used to design specific nucleic acid probes
Probes
Can be general or specific
Can be labeled with fluorescent tags and hybridized to rRNA
in ribosomes within cells
FISH: fluorescent in situ hybridization
Circumvent need to cultivate organism(s)
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Fluorescently Labeled rRNA Probes: Phylogenetic Stains
Figure 14.17
Stained with universal rRNA probe
Stained with a eukaryotic rRNA probe
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14.9 Applications of SSU rRNA Phylogenetic Methods
PCR can be used to amplify SSU rRNA genes from
members of a microbial community
Genes can be sorted out, sequenced, and analyzed
Such approaches have revealed key features of
microbial community structure and microbial
interactions
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14.9 Applications of SSU rRNA Phylogenetic Methods
Ribotyping
Method of identifying microbes from analysis of DNA
fragments generated from restriction enzyme digestion
of genes encoding SSU rRNA
Highly specific and rapid
Used in bacterial identification in clinical diagnostics
and microbial analyses of food, water, and beverage
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Ribotyping
Figure 14.18
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III. Microbial Systematics
14.10 Phenotypic Analysis
14.11 Genotypic Analysis
14.12 Phylogenetic Analysis
14.13 The Species Concept in Microbiology
14.14 Classification and Nomenclature
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14.10 Phenotypic Analysis
Taxonomy
The science of identification, classification, and
nomenclature
Systematics
The study of the diversity of organisms and their
relationships
Links phylogeny with taxonomy
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14.10 Phenotypic Analysis
Bacterial taxonomy incorporates multiple methods
for identification and description of new species
The polyphasic approach to taxonomy uses three
methods
1) Phenotypic analysis
2) Genotypic analysis
3) Phylogenetic analysis
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14.10 Phenotypic Analysis
Phenotypic analysis examines the morphological,
metabolic, physiological, and chemical characters
of the cell
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Some Phenotypic Characteristics of Taxonomic Value
Table 14.3
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Some Phenotypic Characteristics of Taxonomic Value
Table 14.3
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14.10 Phenotypic Analysis
Fatty Acid Analyses (FAME: fatty acid methyl ester)
Relies on variation in type and proportion of fatty acids
present in membrane lipids for specific prokaryotic
groups
Requires rigid standardization because FAME profiles
can vary as a function of temperature, growth phase,
and growth medium
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Fatty Acid Methyl Ester (FAME) Analysis
Figure 14.19a
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Fatty Acid Methyl Ester (FAME) Analysis
Figure 14.19b
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14.11 Genotypic Analysis
Several methods of genotypic analysis are
available and used
DNA-DNA hybridization
DNA profiling
Multilocus Sequence Typing (MLST)
GC Ratio
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Some Genotypic Methods Used in Bacterial Taxonomy
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14.11 Genotypic Analysis
DNA-DNA hybridization
Genomes of two organisms are hybridized to examine
proportion of similarities in their gene sequences
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Genomic Hybridization as a Taxonomic Tool
Figure 14.20a
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Genomic Hybridization as a Taxonomic Tool
Figure 14.20b
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Genomic Hybridization as a Taxonomic Tool
Figure 14.20c
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14.11 Genotypic Analysis
DNA-DNA hybridization
Provides rough index of similarity between two
organisms
Useful complement to SSU rRNA gene sequencing
Useful for differentiating very similar organisms
Hybridization values 70% or higher suggest strains
belong to the same species
Values of at least 25% suggest same genus
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Relationship Between SSU rRNA and DNA Hybridization
Figure 14.21
97
95
25
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14.11 Genotypic Analysis
DNA Profiling
Several methods can be used to generate DNA
fragment patterns for analysis of genotypic similarity
among strains, including
Ribotyping: focuses on a single gene
Repetitive extragenic palindromic PCR (rep-PCR)
and Amplified fragment length polymorphism
(AFLP): focus on many genes located randomly
throughout genome
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DNA Fingerprinting with rep-PCR
Figure 14.22
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14.11 Genotypic Analysis
Multilocus Sequence Typing (MLST)
Method in which several different “housekeeping
genes” from an organism are sequenced (~450-bp)
Has sufficient resolving power to distinguish between
very closely related strains
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Multilocus Sequence Typing
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14.11 Genotypic Analysis
GC Ratios
Percentage of guanine plus cytosine in an organism’s
genomic DNA
Vary between 20 and 80% among Bacteria and
Archaea
Generally accepted that if GC ratios of two strains differ
by ~ 5% they are unlikely to be closely related
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14.12 Phylogenetic Analysis
16S rRNA gene sequences are useful in taxonomy;
serve as “gold standard” for the identification and
description of new species
Proposed that a bacterium should be considered a new
species if its 16S rRNA gene sequence differs by more
than 3% from any named strain, and a new genus if it
differs by more than 5%
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14.12 Phylogenetic Analysis
The lack of divergence of the 16S rRNA gene limits its
effectiveness in discriminating between bacteria at the
species level, thus, a multi-gene approach can be used
Multi-gene sequence analysis is similar to MLST, but
uses complete sequences and comparisons are made
using cladistic methods
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14.12 Phylogenetic Analysis
Whole-genome sequence analyses are becoming
more common
Genome structure; size and number of chromosomes,
GC ratio, etc.
Gene content
Gene order
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14.13 The Species Concept in Microbiology
No universally accepted concept of species for
prokaryotes
Current definition of prokaryotic species
Collection of strains sharing a high degree of similarity
in several independent traits
Most important traits include 70% or greater DNA-DNA
hybridization and 97% or greater 16S rRNA gene
sequence identity
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Taxonomic Hierarchy for Allochromatium warmingii
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14.13 The Species Concept in Microbiology
Biological species concept not meaningful for
prokaryotes as they are haploid and do not undergo
sexual reproduction
Genealogical species concept is an alternative
Prokaryotic species is a group of strains that based on
DNA sequences of multiple genes cluster closely with
others phylogenetically and are distinct from other
groups of strains
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Multi-Gene Phylogenetic Analysis
Figure 14.24
16S rRNA genes
gyrB genes
luxABFE genes
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14.13 The Species Concept in Microbiology
Ecotype
Population of cells that share a particular resource
Different ecotypes can coexist in a habitat
Bacterial speciation may occur from a combination
of repeated periodic selection for a favorable trait
within an ecotype and lateral gene flow
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A Model for Bacterial Speciation
Figure 14.25
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14.13 The Species Concept in Microbiology
This model is based solely on the assumption of
vertical gene flow
New genetic capabilities can also arise by horizontal
gene transfer; the extent among bacteria is variable
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14.13 The Species Concept in Microbiology
No firm estimate on the number of prokaryotic
species
Nearly 7,000 species of Bacteria and Archaea are
presently known
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14.14 Classification and Nomenclature
Classification
Organization of organisms into progressively more
inclusive groups on the basis of either phenotypic
similarity or evolutionary relationship
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14.14 Classification and Nomenclature
Prokaryotes are given descriptive genus names and
species epithets following the binomial system of
nomenclature used throughout biology
Assignment of names for species and higher groups of
prokaryotes is regulated by the Bacteriological Code
- The International Code of Nomenclature of Bacteria
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14.14 Classification and Nomenclature
Major references in bacterial diversity
Bergey’s Manual of Systematic Bacteriology (Springer)
The Prokaryotes (Springer)
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14.14 Classification and Nomenclature
Formal recognition of a new prokaryotic species
requires
Deposition of a sample of the organism in two culture
collections
Official publication of the new species name and description
in the International Journal of Systematic and Evolutionary
Microbiology (IJSEM)
The International Committee on Systematics of
Prokaryotes (ICSP) is responsible for overseeing
nomenclature and taxonomy of Bacteria and Archaea
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Some National Microbial Culture Collections
Table 14.6
KCCM Korean Culture Center of Microorganisms Seoul, Korea http://www.kccm.or.kr
KACC Korean Agricultural Culture Collection Suwon, Korea http://kacc.rda.go.kr