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61 Cards in this Set

  • Front
  • Back

First completed genome sequence and year completed

H. influenzae



1995

Genome size comparison

Human - 46 chromosomes - 28-35,000 genes - 3.1 billion bp



Mouse - 40 chromosomes - 22.5-30,000 genes - 2.7 billion bp



Puffer fish - 44 chromosomes - 31,000 genes - 365 million bp



Malaria mosquito - 6 chromosomes - 14,000 genes - 289 million bp



Fruit fly - 8 chromosomes - 14,000 genes - 137 million bp



Roundworm - 12 chromosomes - 19,000 genes - 97 million bp



Bacterium - 1 chromoneme - 5,000 genes - 4.1 million bp



Biggest genome



Mid size genome



Smallest genome

Free living organisms



Obligate parasites



Obligate symbionts

Smallest genomes: obligate symbionts

Hodgkinia cicadicola



* 142 kb genome


* lives in specialized insect cells (bacteriocytes)


* cannot repair DNA


* no lipopolysaccharides


* overproduces amino acids



Genome reduction

E. coli - 4.6 million


H. salinarum - 2.57 million


HTCC2181 - 1.3 million


Mycoplasma genitalium - 580 thousand


Hodgkinia cicadicola - 143 thousand

Smallest genome: free-living organisms

Pelabiacter ubique (1.3 million genome)



* discovered in Sargasso sea


* up to 50% of cells in temperate water


* important in carbon cycle PHOTOSYNTHETIC

Biggest genome: Myxobacteria

Sorangium cellulosum (13 million genome)



* displays cellular differentiation (fruiting bodies)


* can remotely sense objects


* hunt prey in coordinated attack

Open Reading Frame (ORF)

Searching for information



transcriptional start - promoter


Shine-Dalgarno - AGGA)


Start codon - ATG


Sense codon - (XXX)n


Stop codon - TAA



Can be in either orientation


ORFs usually contain at least 100 codons (300 bp)

ORFs in bacterial genomes

Highest percent of ORFs in DNA replication, translation



Lowest percent of ORFs in energy generation, signal transduction, transcription



Re-constructed genome map

* Outer circle = MBp designation; 0 is origin of replication


*Second ring = tRNA genes in BLUE; single rRNA operon in ORANGE


*Third ring = clockwise ORFs in DARK GREEN; counterclockwise ORFs in LIGHT GREEN


*Fourth ring = IS elements of repetitive DNA in ORANGE


*Inside sunburst = G+C content = YELLOW RAYS less than 65%; ORANGE RAYS more than 65%

Gene annotation

*compare ORF sequence to databases



*similar sequence annotated as having similar function



*use to reconstruct metabolic pathways

Genes help determine function

*pathogens use growth factors from host cells



*genome showed pathway for metabolism (T. maritima)



*showed ORFs of unknown function (URF) e.g E. coli 38% URFs



*Offer hypotheses NOT PROOF of pathways

Gene expression in prokaryotes

Start = promoter code



Stop = terminator code



Allow RNA polymerase to create SINGLE mRNA TRANSCRIPT

Polycistronic mRNA

ONE transcript encode MULTIPLE polypeptides



ORFs separated by STOP CODONS



INTERCISTRONIC regions of VARYING length

COUPLED TRANSCRIPTION / TRANSLATION

= RAPID REGULATION



= Polysomes

Significance of gene regulation 1

*Microbes must respond immediately to


environmental changes



- chemotaxis - move to fuel or light


- facultative aerobes - switching from O2 to


alternate electron acceptor


- temperature changes - increase or decrease


levels of unsaturated fatty acids in


membranes

Significance of gene regulation 2

* Symbiosis or Pathogenesis



- EXPRESS virulence factors to establish


INFECTION



- EXPRESS genes to establish SYMBIONT-HOST


relationship

Ways to regulate activity

* CONSTITUTIVE expression =


NO CONTROL


* POSTTRANSLATIONAL expression =
NO PRODUCT


* TRANSLATIONAL expression =


NO PROTEIN SYNTHESIS


* TRANSCRIPTIONAL expression =


NO mRNA SYNTHESIS



Gene CATEGORIES based on REGULATION

CONSTITUTIVE = housekeeping = no regulation, expressed continously



REPRESSIBLE = repressed when product not needed = enzyme DOWN in presence of REPRESSOR AND CO-REPRESSOR



INDUCIBLE = expressed only when needed = enzyme UP in presence of REPRESSOR AND INDUCER

Transcriptional regulation in Prokaryotes 1

OPERON = controls synthesis of several proteins



STRUCTURAL GENE = encode polypeptide



OPERATOR (O) = starts/halts by binding protein factors



PROMOTER (P) = binds RNA polymerase for transcription



REGULATOR (Reg) = encodes single protein - this binds to O to control gene expression ("effectors")

Transcriptional regulation in Prokaryotes 2

NEGATIVE: block mRNA synthesis


- too much enzyme


- activity no longer needed


- "repressor protein" to bind to DNA to
BLOCK RNA polymerase



POSITIVE: stimulate mRNA synthesis


- more enzyme needed


- "activator protein" to bind DNA to PROMOTE


transcription

NEGATIVE CONTROL: ENZYME REPRESSION



SHUTTING DOWN THE ENZYME

*have presence of repressor but transcription goes



*add co-repressor (e.g. arginine) that binds repressor



*the complex binds O and blocks arginine synthesis

NEGATIVE CONTROL: ENZYME INDUCTION



TURNING ON THE ENZYME

*REPRESSOR bound at O of lac operon in presence of glucose - lactose metabolism genes turned off



*when glucose gone, INDUCER binds to REPRESSOR, removing it from lac operon



*lactose metabolism genes now transcribed



POSITIVE CONTROL

*ACTIVATOR protein PROMOTES binding of RNA polymerase to promoter



*several NON-CONTINUOUS operons involved



*INDUCER molecule REQUIRED for activator to bind to DNA (e.g. maltose)

CATABOLITE REPRESSION

*E. coli can use several sugars BUT HAS PREFERENCE



*CATABOLITE repression - expression of genes for other sugars REPRESSED due to lack of CATABOLITE (cAMP)



*DIAUXIC GROWTH - preferred sugar 1st - then gene for 2nd sugar turned ON



*LAG during switch = BIPHASIC growth curve

lac OPERON REGULATION



POSITIVE / NEGATIVE CONTROL



CAP = catabolite activator protein

*CAP binds cAMP



*CAP-cAMP binds UPSTREAM - increase RNA polymerase binding at P



*transcription begins



*LACTOSE as INDUCER to remove REPRESSOR bound at O (repressor coded by lacl gene)

SUMMARY OF lac OPERON REGULATION 1

*Lactose NO glucose present



REPRESSOR inactive = BINDING of RNA


polymerase to P = TRANSCRIPTION OCCURS



*Lactose AND glucose present



cAMP levels too low to activate CAP =


TRANSCRIPTION INHIBITED

SUMMARY OF lac OPERON REGULATION 2

*NEITHER lactose NOR glucose present



BOTH activator AND repressor are active =


TRANSCRIPTION INHIBITED BY REPRESSOR



*Glucose BUT NO lactose



NO CAP, lots of repressor = TRANSCRIPTION+


INHIBITED

CAP IS A GLOBAL REGULATOR

*regulates several OPERONS using different


CATABOLITES



*arabinose, galactose, maltose (other carbons)



*OPERONS under NEGATIVE regulator control



*FEATURES differ but BINDING CAP/cAMP is


SAME

GLOBAL CONTROL SYSTEMS

*REGULON = multiple OPERONS but common


REGULATORY PROTEIN



*Allows quick adjustment to surroundings



*Alternate SIGMA factors of RNA polymerase = GLOBAL EFFECTS


- cellular differentiation = SPORULATION


- temp changes = HEAT SHOCK


- increase osmolarity = COMPATIBLE SOLUTES
& ALTERATIONS OF CELL WALL &


MEMBRANE

E. COLI REGULONS - 1

Aerobic respiration



Signal = positive O2



Primary activity = Repressor (ArcA)



Number of genes = 50+

E. COLI REGULONS - 2

Anaerobic respiration



Signal = negative O2



Primary activity = Activator (FNR)



Number of genes = 70+

E. COLI REGULONS - 3

Catabolite repression



Signal = concentration of cAMP



Primary activity = Activator (CAP)



Number of genes = 300+

E. COLI REGULONS - 4

Heat shock



Signal = temperature



Primary activity = sigma 32



Number of genes = 36

E. COLI REGULONS - 5

Nitrogen utiliation



Signal = negative NH3 (ammonia)



Primary activity = Act NRI / sigma 54



Number of genes = 12+

E. COLI REGULONS - 6

Oxidative stress



Signal = Oxygen radical



Primary activity = Activator (OxyR)



Number of genes = 30+

E. COLI REGULONS - 7

SOS response



Signal = Damaged DNA



Primary activity = Repressor (LexA)



Number of genes = 20+

"OMICS" A.K.A. "POST-GENOMICS"

Literature/databases


+


Network structure


+


Network behaviour


=


Comprehensive network model


 

Literature/databases


+


Network structure


+


Network behavior


=


Comprehensive network model


STUDIES OF GENE EXPRESSION: cDNA

REVERSE TRANSCRIPTASE = retrovirus enzyme



Produces DNA genome copies = cDNA



Integrate into host DNA



Total mRNA extracted to see differences


- cells under different growth conditions


- wild-type versus mutant cell lines

MICROARRAYS: DETECTING DIFFERENTIAL GENE EXPRESSION - 1

Creation of microarray


 


Creation of labeled probe = all mRNA present in cell at time

Creation of microarray



Creation of labeled probe = all mRNA present in cell at time

MICROARRAYS: DETECTING DIFFERENTIAL GENE EXPRESSION - 2

Labeled probe goes to complementary seq on array


 


Hybridizes by bp rules (A:T & G:C)


 


Detected by fluorescent signal

Labeled probe goes to complementary seq on array



Hybridizes by bp rules (A:T & G:C)



Detected by fluorescent signal

MICROARRAY DATA

GREEN = wild-type only


RED = mutant only


YELLOW = in both cells

GREEN = wild-type only


RED = mutant only


YELLOW = in both cells

TRANSCRIPTOME OF P. AERUGINOSA

Global gene expression from cells grown in high vs low Ca2+

Global gene expression from cells grown in high vs low Ca2+

RNA - Seq

*Next gen sequencing


*NO MICROARRAY


*DIRECTLY sequence


*QUANTIATIVE copy

  numbers - show

  what is up or down

*Next gen sequencing


*NO MICROARRAY


*DIRECTLY sequence


*QUANTIATIVE copy
numbers - show
what is up or down

PROTEOMICS: DETERMINING DIFFERENCE IN TRANSLATION

PROTEOME = all proteins present in cell, tissue


or organism at one time



*Extract proteins


*Separate on 2-D gel


*Compare spots


*Extract and sequence to identify

METABOLOMICS: DIFFERENCE IN METABOLISM

METABOLOME = complete set of metabolic


intermediates + small


molecules produced



COMPLICATED analysis - WIDE diversity of properties of metabolites

SYSTEMS BIOLOGY

INTEGRATION OF DIFFERENT FIELDS


 


=


 


OVERVIEW OF ORGANISM


 


 

INTEGRATION OF DIFFERENT FIELDS



=



OVERVIEW OF ORGANISM



SINGLE CELL GENOMICS

METAGENOMICS

COMPARATIVE GENOMICS AND MOLECULAR EVOLUTION

ELEMENTARY EVOLUTIONARY FORCES

* gene DUPLICATION


* gene LOSS


* gene ORDER CONSERVATION &


REARRANGEMENT of genes


* nucleotide SUBSTITUTION (recomb & mutation)


* HORIZONTAL GENE TRANSFER

HORIZONTAL GENE TRANSFER

EVOLUTION BY REDUCTION

Parasites/pathogens = adapt to host cell environment



Lose genes not essential for life within host



High fraction of pseudogenes within genomes

GENE LOSS -1

*Genomes not getting


   bigger


*Acquire foreign DNA


  balanced by native


  gene loss


*DELETIONAL BIAS = MAJOR SHAPING FORCE

*Genomes not getting


bigger


*Acquire foreign DNA


balanced by native


gene loss


*DELETIONAL BIAS = MAJOR SHAPING FORCE

GENE LOSS - 2

(same pic as for 1)


*No longer beneficial


*Strong selection

  pressure to ditch


  (accumulating


  mutations)


*Gene decay =


  pseudogene = loss

(same pic as for 1)


*No longer beneficial


*Strong selection
pressure to ditch


(accumulating


mutations)


*Gene decay =


pseudogene = loss

PAN GENOME VERSUS CORE GENOME - 1

CORE = shared by all strains of species


 


PAN = all genes found in a group, even if not in all strains

CORE = shared by all strains of species



PAN = all genes found in a group, even if not in all strains

PAN GENOME

INCLUDE:



* Transposons


* Plasmids


* Phage (viral) DNA


* Chromosomal islands


* Pathogenicity islands

PAN GENOME VERSUS CORE GENOME - 2

EVOLUTION OF VIRULENCE - 1

Chromosomal islands


 


 - horizontal transfer


 - flanked by inverted


   repeats


 - G+C different from


   rest

Chromosomal islands



- horizontal transfer


- flanked by inverted


repeats


- G+C different from


rest

EVOLUTION OF VIRULENCE - 2



Virulence Factors = VF

Pathogenicity islands


 


 - blocks of genes


   encode VF


 - RED genes = only in


   pathogenic strain

Pathogenicity islands



- blocks of genes


encode VF


- RED genes = only in


pathogenic strain

who has the biggest genome and why?
humans are 1000x bigger but only have six times the genes as proks
free living > obl parasites > obl symbio