Orkun Soyer Flashcards

(37 cards)

1
Q

How are biological systems dynamic?

A
  • Temporal behaviour/how they change over time, so we will need to monitor these changes over time
  • The inputs and outputs vary – so the way the system responds to an input/what the output is can change
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2
Q

What are the two types of temporal dynamics?

A

Linear and non-linear

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3
Q

What is the outcome of negative feedback dynamics?

A

Faster response (to signals) ‘Adaptation’

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4
Q

What is the outcome of positive feedback?

A

Bistability, Switches, Logic Gates, Memory

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5
Q

What is the outcome of negative and positive feedback with delay?

A

Oscillations.

Frequency-based signaling Entrainment

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6
Q

Interlocked +/- Feedback with Delay

A

Robust oscillations

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7
Q

What affects the concentration of a transcription factor when there is no regulation?

A

Expression of the gene will increase the concentration.
General cell growth as it will decrease the concentration through dilution

—> P —>
b a

so:
d[P]/dt = b - a * [P]

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8
Q

What affects the concentration of a transcription factor when there is negative autoregulation?

A

Expression of the gene will increase the concentration.
General cell growth as it will decrease the concentration through dilution
Expression inhibits expression

—> P —>
/b/ a

so:
d[P]/dt = b/1+([P]/K)^n - a * [P]

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9
Q

What do steady state and time both depend on?

A

alpha, the dilution factor

but steady state can be made independent from alpha

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10
Q

What would you add if you want to control protein levels in a cell and the time it takes to respond to a stimulus?

A

Negative feedback loop

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11
Q

What gives you a threshold response?

A

Positive feedback mechanism

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12
Q

What is bistability?

A

When the system has two stable equilibrium states. Something that is bistable can be resting in either of two states

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13
Q

How would you study interactions in a sample of multiple communities?

A

genome sequencing and temporal sampling to see how groups change in response to different conditions
stable isotope tracking involves adding stable isotopes and seeing which groups take it up

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14
Q

What can we currently do with microbial communities?

A
  • Extend metabolic capacities
  • Make something that can stabilise other things
  • Gut treatments – ways of controlling naturally occurring microbial communities
  • Biocomputing power
  • Create functional materials.
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15
Q

What is tractability and what happens when complexity increases?

A

controllability/measurability, ability to model

and it decreases

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16
Q

How many species does the largest constructed community have?

17
Q

What are the two ways to engineer synthetic microbial communities?

A
  • Start with a complex community and try to remove species through dilution or increase some species with culture enrichment
  • Rational engineering - Put species together one by one. It is more difficult than it sounds because finding common media to promote growth and to make sure they don’t kill each other is hard.
18
Q

What is Chassis?

A

The under lying biology in which a device or system is implemented. This can be a living organism (host) or an in vitro system for transcription and translation.

19
Q

How do you do rational engineering?

A

Connect cells with :
Signaling
Physical Interactions
Metabolism

20
Q

How would you analyse a microbial community?

A

Take sample, extract DNA and sequence the genomes. Combine this with temporal sampling of some sort of metadata like pH or rainfall. Find out of the proportions of certain species increases or decreases in rain vs out of rain.
Species that increase together and decrease together may interact

21
Q

How would you find out which species in a microbial community takes up a compound?

A

Stable isotope tracking - spike a sample with a heavy isotope

22
Q

Give examples of how we already exploit microbial communities

A

Gut Microbiome
Biogas reactors
Waste water treatment

23
Q

Why would putting different pathways in different microbes make things more efficient?

A

You can create different environments for different pathways like high or low pH so microbial communities can be helpful when putting it all in one organism is not feasible.
Spatially organising the microbes can let you marry up different metabolic processes.

24
Q

What are potential things we can do with engineering microbial communities?

A
  • Extend metabolic capacities
  • Make something that can stabilise other things
  • Gut treatments – ways of controlling naturally occurring microbial communities
  • Biocomputing power
  • Create functional materials.
25
What are the different possible ways of engineering microbial communities?
Top down = engineer natural microbial communities like gut microbiota of patients to treat linked diseases Bottom up = engineering synthetic communities from scratch, starting with individual species.
26
What compromise has to be made with increasing complexity of microbial communities?
Tractability (ability to control, measure and model) decreases
27
How would rational engineering of synthetic microbial communities work?
Carry out the design, build, test cycle and use signalling to make them interact, physical interactions to have them stick together, or metabolisms so that one species produces something that another species uses
28
Give an example of Signalling-Based Engineering of SMCs
Balagaddé et al 2008: Designed a predator and prey circuit. One produces a toxin and the other produces an antidote so they cannot survive without each other.
29
What is an issue with engineering microbial communities?
Horizontal gene transfer can be a problem so you need to limit it. If one species replicates more quickly than another, how do you control population size? You can run out of ‘wires’ to connect species if you have thousands Evolution – replicating systems can evolve so if you add a costly circuit, mutated bacteria will stop using it. It’s an issue in monocultures too.
30
What are the different types of SMC engineering?
Signalling-based Spatial Metabolism-based
31
Give an example of Spatial Engineering of SMCs
Tsai et al 2009 engineered a mini cellulosome: four engineered yeast strains producing different cellulose-degrading enzymes and their scaffold
32
How would you model spatial interactions in microbial communities
Agent Based Models with Space Spatial Differential Equation (PDEs)
33
How would you model spatial interactions in microbial communities?
Agent Based Models with Space Spatial Differential Equation (PDEs)
34
How many microbial metabolic interactions can you name?
``` Commensalism Amensalism Competition Cooperation Cross-feeding Syntrophy Auxotrophy ```
35
Give an example of auxotropy
Mee et al 2014 14 synthetic amino acid auxotrophies were engineered in ecoli by knocking out biosynthetic enzymes that leads to the different amino acids. Paired up different auxotrophy strains to see if they could sustain each other's growth. Not viable in all amino acids. Some pairs and triplets worked, some didn't. They compared monocultures with communities where one overexpresses amino acid and another cannot. It was also asked whether the communities will stay stable through evolution so they tried adding mutants to see if they would take over - it was evolutionarily stable
36
Give an example of cross feeding
Grosskopf & Soyer et al found that glucose-acetate crossfeeding had evolved in long-term experiment with E. coli - had one large culture and every other day, subcultured it into new media (took a sample to freeze as well). Every new subculture was diluted (added selection pressure)
37
Why is cross feeding the best choice of metabolic interaction?
They are found naturally and are evolutionarily stable. | It has been shown to have increased fitness over WT