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BI 559 Lecture 11: Bacterial genome organization

Today:�

  • Wrap up our first major section of the course: growth�
  • Begin to shift our focus from populations of cells to populations of molecules inside a single cell�
  • Explore the current understanding of prokaryotic genomes

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Bringing growth (mostly) to a close

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Bringing growth (mostly) to a close

What have we learned?

 

 

 

Doubling time is a function of the nutrient quality.

To double faster with better nutrients, bacteria dedicated more of their mass to ribosomes.

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When cell density is high or nutrients run out, growth slows to nothing

 

We can understand these dynamics with a simple model

 

 

Stable point: any initial bacterial density will evolve to this stationary phase!

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When we extend to 2 species, we see three different stable states depending on how they compete!

 

 

1

2

 

 

coexistence

bistability

single-species dominance

The growth models we learned are all phenomenological: they mathematically describe growth phenomena, but are not motivated by underlying molecular mechanisms.

Any mechanistic model will be much more complicated and should agree with our phenomenological models.

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We’ll now shift from the scale of huge populations of cells to molecules

vs.

DNA

RNA

protein

RNA polymerase

Ribosome

Our mathematical model predicted that there were characteristic states of the many cell system, e.g. stationary phase or stable coexistence points.

What if instead of species inhibiting each other it is genes inhibiting each other through gene regulatory network?

We’ll see that exactly the same math can be used to understand states of gene expression!

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From cells to molecules

This scale still very mysterious!

The molecule to start with is DNA!

  • Does the structure affect gene expression or DNA access?
  • What even is the structure?

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Two major categories of bacterial DNA organization

1. Longitudinal or “ori-ter

Caulobacter crescentus

Origin of DNA replication

Direction of replication

Replicated origin moved to other pole

ori-ter recapitulated in new cell

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Two major categories of bacterial DNA organization

2. Transverse or “left-ori-right”

Slow-growing E. coli

tightly packed

Less condensed crossover region

Some species have variations on these two patterns or switch between them under different conditions.

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How is the bacterial DNA arranged in the cell?

A bacterial genome has ~1-10 million bases in it.

In equilibrium, a double-stranded DNA with 1,000,000 base pairs will be a sphere (think ball of yarn) with a diameter of ~300 µm

~300 µm

This has to fit into a ~1 µm cell!!!!

How is the DNA organized?

Is it just randomly crammed in?

If not, what drives the organization?

How do we measure this?

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How is the genome so condensed?

Structural Maintenance of Chromosomes” protein complexes (SMC)

It’s not just physical confinement by the cell wall. DNA-binding proteins condense the genome. Like histones in eukaryotic nuclei.

Etc.

Do these complexes tend to condense the genome into an organized structure?!

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How do you measure DNA organization?

1. Fluorescence imaging

DNA extremely dense, structures too small even for superresolution techniques

But you can do some simple, very clever experiments.

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Measuring DNA organization with fluorescence

E. coli genome

  • Engineered system to fluorescently label specific locations within the genome
  • Image cellular position of loci for many, many cells
  • Perform experiments under slow growth conditions so that cells do not have rapidly copied genomes
  • If genome is completely randomly arranged within the cell, then there should not be a repeatable spatial pattern of the loci

ori – origin of replication

lac – lac operon

moveable label: different strain for each locus

Random

Regulated Pattern

What do they see?

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Locations along the genome have a consistent position within cells!

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Variance of intra-locus distance increases with distance between loci

Width of distribution increases

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Cell position scales linearly with genomic position!

Average packing density of 1.6 Mbp / µm

ori

crossing region

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Loci are most precisely located relative to each other than within the cell

Single Locus” is the variance in a locus’ absolute location in the cell

Inter-Locus” is the variance in a locus’ position relative to ori

constant

lower, i.e. more precise

Becomes less precise as you move away from ori

Genomic loci are more precisely positioned relative to their neighbors than relative to the cell.

Suggests major role of intra-nucleoid interactions in shaping structure.

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This simple experiment revealed much about E. coli DNA organization!

  • Genomic loci are spatially organized within an E. coli cell����
  • High degree of precision of genomic loci relative to their neighbors points to major role of intra-genome interactions rather than genome-cell interactions

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How can we probe chromosome structure across the whole genome instead of discrete loci?

2. Chromosome capture

Find these kind of spatial interactions

Associate them with particular sequences

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“Chromosome Capture”

DNA

  1. Cross-link DNA
  2. Cut DNA with nuclease enzymes
  3. Ligate cross-linked fragments into one DNA fragment
  4. Linearize fragments
  5. Sequence fragments
  6. Align them to organism genome
  7. Find correlation between different sequences

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Chromosome capture data

Resolution of ~5000-10000 bases

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How do you read Hi-C plots?

Position along genome

Position along genome

Imagine the genome were a circle with no non-adjacent points contacting each other

You would only ever see frequent association with adjacent sequences in Hi-C

Hi-C Map

DNA

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How do you read Hi-C plots?

Position along genome

Position along genome

What if instead there were a large loop on the right?

Hi-C Map

You’ll now see a large Hi-C signal corresponding to the areas that physically interact.

DNA

Off-diagonal features on the Hi-C map are interpreted as parts of the genome that are physically close, but far apart in genomic distance.

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What does a DNA loop look like on these plots?

DNA

Genome position

Genome position

DNA

Genome position

Genome position

Hairpin loop

Simple loop

dot

Square region on diagonal

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What does Hi-C tell us about bacterial genome organization?

Three broad domains

  1. Origin domain
    • Many inter- and intra-arm contacts�
  2. Middle domain
    • Interaction of the two arms�
  3. Terminus domain
    • Smaller domain of interactions near replication terminus

(Note that in this figure the diagonal is rotated)

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What does Hi-C tell us about bacterial genome organization?

Also a series of square domains of various sizes along the diagonal.

What are these?

Most of these domains are repeated in different strains of Bacillus, suggesting this is a structure of the genome.

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Spatially interacting sequences, probably looping

With statistical analysis, Marbouty, et al. find “barriers” in the genome, regions with few contacts that define borders between domains of enriched contact.

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Barriers are associated with highly transcribed genes or regions acquired via horizontal gene transfer

Transcription may lead to supercoiling, leading to close associations of regions in between highly transcribed genes

What spatial DNA structure leads to these stereotyped Hi-C domains?

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A model with twisted hairpins can recapitulate the Hi-C map

“plectonemes”

  • Le, et al. created a model genome where DNA was supercoiled into twisted hairpins they call “plectonemes”
  • The plectonemes are punctated by long, uncoiled, plectoneme-free regions (PFRs)
  • Simulating Hi-C on this model genome recapitulates the off-diagonal squares, showing that hypercoiled hairpins are consistent with their observed genome structure
  • The PFRs are the “barriers”

Are the barriers more highly-transcribed regions?

(This is C. crescentus, not B. subtilis, but it also has ori-ter structure)

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Does transcription drive chromosome structure?

Little structure observed

(transcription inhibitor)

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Does transcription drive chromosome structure?

Location of poorly expressed gene van

Insertion of highly expressed rsaA into van locus

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Does chromosome structure affect transcription?

Experiment:

The protein Dps purportedly compacts the E. coli genome during stationary phase

If Dps is deleted,

  1. Is the genome de-condensed?
  2. If so, does transcription change?

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Does dps deletion de-condense the genome during stationary phase?

Measured via direct imaging

Cell length

Nucleoid length

Looks like yes!

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Does Δdps de-condensation alter transcription?

Not significantly!

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RNA polymerase can move straight through condensed DNA

Can measure polymerase motion along DNA by tracking the bead

Zooming in:

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What have we learned?

Bacterial genomes are not random, but highly organized.

Hairpin loops are interspersed by highly transcribed regions

Highly transcribed gene

Next: a bit of evolution and then how genes are expressed from the genome

But DNA condensation is not sufficient to alter transcription