Rearranging Genes: The Future of Synthetic Yeast
Scientists are reshaping yeast genomes to unlock new capabilities.
Xinyu Lu, Klaudia Ciurkot, Glen-Oliver F. Gowers, William M Shaw, Tom Ellis
― 8 min read
Table of Contents
- What is Synthetic Genomics?
- The Synthetic Yeast Genome Project
- Why Rearranging Genes is Important
- The Rise of Synthetic Genome Modules
- What Are Defragmented Modules?
- Refactored Modules: The Next Level
- The SCRaMbLE System: A Game Changer
- The MuSIC Method
- Challenges with Screening
- The ReSCuES Reporter System: A Solution
- Testing Synthetic Modules: The HIS Example
- The Experiment
- The Benefits of SCRaMbLE in Testing
- The SCOUT Reporter System
- A Look at Results
- Iterative SCRaMbLE
- Conclusion: The Future of Synthetic Genomics
- Original Source
- Reference Links
In the last decade and a half, Synthetic Genomics has made leaps towards creating and modifying the genetic makeup of organisms. Scientists have gone from merely piecing together genomes to tweaking them in a way that can change how the organisms behave and grow. This journey has also included ambitious projects like creating synthetic yeast - a type of fungus that is often used in research because it works well with lab techniques.
What is Synthetic Genomics?
Synthetic genomics involves creating or altering genomes - the complete set of genes in an organism. It's akin to rewiring a smartphone to add new features. Scientists in this field aim to create organisms with specific traits or capabilities by editing their genetic instructions. This is done through techniques such as gene editing, gene synthesis, and modular assembly. Scientists enjoy tinkering with the genetic codes, much like kids with building blocks, to see what happens when they rearrange the pieces.
The Synthetic Yeast Genome Project
One notable project in this field is the Synthetic Yeast Genome (Sc2.0), which is nearly finished after several years of effort. This project focuses on creating a yeast strain with synthetic chromosomes. Scientists have been busy completing these synthetic chromosomes and merging them into a single yeast strain. The idea is to design these genomes so they are less like their natural counterparts and more like a custom gadget that does what you want it to.
However, until now, most of this genetic creativity has been constrained. Even when scientists made synthetic genomes, they often kept the same gene organization found in nature. So, while the results were synthetic, they weren't radically different from what was already there.
Why Rearranging Genes is Important
As scientists develop entirely synthetic genomes, they want to think outside the box. They wish to organize genes on chromosomes into functional modules that can be custom-built from basic DNA parts. That means they are looking for ways to arrange genes in ways that can maximize how well they work together.
To do this, researchers need new tools and methods to test and see how different layouts can change the performance of genes, particularly regarding how they express themselves and contribute to the organism's overall health and growth.
The Rise of Synthetic Genome Modules
Recently, researchers have created synthetic genome modules, particularly for yeast. These synthetic modules consist of groups of genes that encode specific functions, helping researchers understand how changing gene arrangements affects function. In simpler terms, this will help them understand how to build a better yeast.
What Are Defragmented Modules?
The concept of "defragmented" modules involves relocating genes along with their regulatory elements (like "on" and "off" switches) and linking them together. Think of it as moving furniture and decor in a room - sometimes the setup just feels better when everything is in a new arrangement.
Refactored Modules: The Next Level
To go even further, researchers can create "refactored" modules. This means they not only relocate genes but also switch out their natural regulatory elements with synthetic versions that are well understood. This gives them a chance to experiment with how gene expression controls the function of the module, similar to trying out different light fixtures in a room to see which one makes it feel cozier.
The SCRaMbLE System: A Game Changer
One exciting tool in the toolbox is something called the SCRaMbLE system. Developed as part of the Sc2.0 project, SCRaMbLE allows scientists to induce random rearrangements in the genome. By using specific sites in the DNA, scientists can create changes like deletions, duplications, and inversions of genes.
This system is like a genetic shuffle and provides researchers with a way to generate diversity within the organism's genome. But there's a catch - because the changes generated by SCRaMbLE can be random, it often takes multiple rounds to find the best outcomes. Think of it as trying to find the best karaoke song: one round may not get you to "A Star is Born" territory, but after several attempts, you might just hit the high notes.
The MuSIC Method
To help researchers maximize the benefits of the SCRaMbLE system, a method called multiplex SCRaMbLE iterative cycle (MuSIC) was developed. This method enables scientists to continuously generate genetic diversity and screen for better traits. It’s a bit like shopping for clothes - you try on a lot of different outfits to find the one that really makes you feel fabulous.
Challenges with Screening
Despite these exciting developments, there are challenges. Most current methods for screening the changes in genes tend to be low-throughput. That means they don’t allow for a large number of tests at once, making it a bit like fishing with a tiny net. The researchers end up needing to analyze one colony at a time, which can slow down the entire process.
On top of that, some of the cells in a population don’t even get altered by SCRaMbLE. These non-recombined cells can take up space and resources that could go to more promising samples. It's like trying to bake cookies but ending up with a few burnt ones taking up the tray.
The ReSCuES Reporter System: A Solution
To address these issues, researchers have developed a reporter system called ReSCuES. This system helps select against non-recombined cells using a clever genetic trick. It’s like having a bouncer at a club who only lets in the cool kids - or, in this case, the right genetic constructs.
Testing Synthetic Modules: The HIS Example
To see how well these new tools and methods work, researchers focused on the histidine biosynthesis pathway in yeast. They constructed synthetic genome modules that included key genes responsible for producing histidine, an important amino acid. By examining how moving these genes around impacted growth and function, they could get valuable insights.
The Experiment
They created different synthetic modules by either:
- Defragmentation: Moving genes with their native regulatory elements.
- Refactoring: Moving just the coding sequences of the genes and replacing the regulatory elements with synthetic ones.
Then they tested each approach to see how it affected the yeast’s growth in media lacking histidine. It’s like trying out different recipes to see which one makes the best cake.
The Benefits of SCRaMbLE in Testing
By using the SCRaMbLE system, researchers could shuffle the genes within these synthetic modules to find optimal configurations under specific growth conditions. This increases the chances of finding solutions that improve phenotypes, or observable traits, in the yeast.
The SCOUT Reporter System
To make the screening process easier, researchers developed another tool called SCOUT (SCRaMbLE Continuous Output and Universal Tracker). SCOUT allows for efficient isolation of cells that are likely to have undergone useful genetic shuffling. It’s like using a GPS to find the best route when you’re lost - guiding the researchers to the most promising results.
A Look at Results
Once the researchers got their hands on the right tools, they conducted a series of tests. They used fluorescence-activated cell sorting (FACS) to pick out the best samples of yeast that had gone through SCRaMbLE, then sequenced and analyzed them.
Their findings showed how gene rearrangements could improve certain functions. After running through several rounds of SCRaMbLE, they found that some configurations gave yeast with enhanced capabilities, making them thrive in environments where they otherwise struggled.
The researchers found that the first round of SCRaMbLE often resulted in the most dramatic improvements. But later rounds tended to plateau, meaning they reached a local maximum of performance.
Iterative SCRaMbLE
The researchers wanted to see if performing SCRaMbLE multiple times would lead to even better outcomes. So they used iterative SCRaMbLE methods on a synthetic chromosome to find out. They carefully monitored each round and compared results, like a race to see if a simple strategy could lead to a faster finish.
While they did witness improvements, they also realized that after a certain point - the fourth or fifth round - the gains were minimal. This suggested that there’s a limit to how much rearrangement can benefit the organism without causing it to lose viability.
Conclusion: The Future of Synthetic Genomics
The advances in synthetic genomics represent a thrilling frontier in science. With tools like SCRaMbLE and SCOUT, researchers are making significant strides in manipulating genetic material to create organisms with desired traits. It’s a world where genes can be arranged like puzzle pieces, and the goal is to find the perfect fit.
Although some challenges remain, the ongoing improvements in methods and technologies are paving the way for the future of synthetic biology. As researchers continue to tinker with genetic codes and develop new tools, the potential applications of synthetic genomics are vast, ranging from healthcare to agriculture and beyond.
And who knows? One day, we might just have a yeast strain that can brew the perfect beer all by itself! But until then, scientists will keep experimenting, rearranging, and maybe even singing - at least in the lab!
Title: Iterative SCRaMbLE for Engineering Synthetic Genome Modules and Chromosomes
Abstract: Synthetic biology offers the possibility of synthetic genomes with customised gene content and modular organisation. In eukaryotes, building whole custom genomes is still many years away, but work in Saccharomyces cerevisiae yeast is closing-in on the first synthetic eukaryotic genome with genome-wide design changes. A key design change throughout the synthetic yeast genome is the introduction of LoxPsym site sequences. These enable inducible genomic rearrangements in vivo via expression of Cre recombinase via SCRaMbLE (Synthetic Chromosome Recombination and Modification by LoxPsym-mediated Evolution). When paired with selection, SCRaMbLE can quickly generate strains with phenotype improvements by diversifying gene arrangement and content in LoxPsym-containing regions. Here, we demonstrate how iterative cycles of SCRaMbLE can be used to reorganise synthetic genome modules and synthetic chromosomes for improved functional performance under selection. To achieve this, we developed SCOUT (SCRaMbLE Continuous Output and Universal Tracker), a reporter system that allows SCRaMbLEd cells to be sorted into a high diversity pool. When coupled with long-read sequencing, SCOUT enables high-throughput mapping of genotype abundance and correlation of gene content and arrangement with growth-related phenotypes. Iterative SCRaMbLE was applied here to yeast strains with a full synthetic chromosome, and to strains with synthetic genome modules encoding the gene set for histidine biosynthesis. Five synthetic designs for HIS modules were constructed and tested, and we investigated how SCRaMbLE reorganised the poorest performing design to give improved growth under selection. The results of iterative SCRaMbLE serve as a quick route to identify genome module designs with optimised function in a selected condition and offer a powerful tool to generate datasets that can inform the design of modular genomes in the future.
Authors: Xinyu Lu, Klaudia Ciurkot, Glen-Oliver F. Gowers, William M Shaw, Tom Ellis
Last Update: 2024-12-06 00:00:00
Language: English
Source URL: https://www.biorxiv.org/content/10.1101/2024.12.06.627136
Source PDF: https://www.biorxiv.org/content/10.1101/2024.12.06.627136.full.pdf
Licence: https://creativecommons.org/licenses/by/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
Thank you to biorxiv for use of its open access interoperability.