Stem cells and cancer cells have enough molecular similarities that the former can be used to trigger immunity against the latter.
Three methods identify and activate silent bacterial gene clusters to uncover new drugs
February 1, 2017|
mBio, doi:10.1128/mBio.00459-13, 2013
Antibiotic resistance is a major threat to global health, and researchers have struggled to identify new antimicrobial compounds. By the late 1990s, the bacterial reservoirs from which almost all clinically useful antibiotics had sprung appeared to run dry. As bacterial genome sequencing became more widespread in the last decade, however, researchers discovered many potential sources of new drugs hidden in these genomes. Now they just need to learn how to mine them.
Most antibiotics are derived from small molecules produced by bacteria, and the genes that synthesize, regulate, and export these molecules typically occur together in groups called biosynthetic gene clusters, which range in size from just a handful to several dozen genes. Sequencing efforts have revealed that the genomes of antibiotic-producing organisms, such as Streptomyces coelicolor, contained a large number of gene clusters that were “silent” or “cryptic” and were not expressed under laboratory conditions. “We were culturing these bacteria for decades, and we had only found a handful of compounds in each of these key, industrially relevant strains,” says Mohammad Seyedsayamdost, an assistant professor of chemistry at Princeton University. “It was just remarkable that they had so much more potential that we hadn’t tapped into.”
Bioinformatic tools can now identify many silent biosynthetic gene clusters in bacterial genomes. The next step is figuring out how to activate them. “That would profoundly change natural product discovery, and also drug discovery,” says Seyedsayamdost. Researchers have tried many approaches, such as expressing these gene clusters in other bacterial species, modifying their promoters or regulators, and changing how the bacteria are cultured. “Many of these strategies are not scalable or generally applicable,” says Huimin Zhao, a professor of chemical and biomolecular engineering at the University of Illinois at Urbana-Champaign. “There’s a lot of luck involved.”
But that may be changing, as more reliable and high-throughput methods to activate these clusters come online. Advances in synthetic biology, small-molecule screening, and mass spectrometry have led to promising new ways to induce gene clusters and identify their products. Some hurdles remain—scientists are still trying to develop better ways to pinpoint the clusters that will yield new and useful compounds, as well as methods to more quickly and accurately identify the molecules produced by individual clusters. In addition, the new approaches for turning on gene clusters may help elucidate how this activation is regulated.
The Scientist talked with researchers about some of these new approaches. Here’s what we learned.
Investigators: Matt Traxler, Assistant Professor, Department of Plant & Microbial Biology, University of California, Berkeley, and Roberto Kolter, Professor of Microbiology and Immunobiology, Harvard Medical School
Project: Take advantage of the natural interactions between bacteria to activate silent gene clusters.
Approach: Past work has shown that bacteria undergo very different physiological changes when grown in the presence of other microbes than when they’re grown by themselves. Kolter and Traxler wondered if they could harness the crosstalk between different bacterial species to activate silent gene clusters. They systematically tested this hypothesis by growing different combinations of bacteria together and using mass spectrometry to identify and compare the compounds produced. “It became very clear that many very different metabolites get made when things are grown in co-culture,” says Kolter. When they paired one species of actinobacterium (Streptomyces coelicolor) with five others, the researchers further found that the set of compounds that were produced were different for each of the five co-cultures (mBio, doi:10.1128/mBio.00459-13, 2013). “We can see a lot of interactions that lead to antibiotic biosynthesis,” says Traxler. “That suggested to us that there is still some deep potential here for drug discovery.”
Advantages: This approach is relatively simple to implement and doesn’t require any prior knowledge of the bacterial genomes. In addition, “it’s linked directly to the ecology of these organisms, and I see that as a major strength,” says Traxler. He suggests that co-cultures replicate some of the complex ecological interactions that bacteria face in their natural habitats, which might force them to activate more novel gene clusters than methods that rely only on single-species bacterial cultures. “There may be a limit to what we’re able to find in single culture, and we may only be able to cross that by going to co-culture or even in situ, to find antibiotics we may never find otherwise,” he says.
Limitations: The main drawback of the method is that it can be slow and labor-intensive, especially when trying out many different combinations of bacteria. “High-throughput for us means a hundred combinations, not hundreds of thousands or millions of combinations,” says Kolter. In addition, once the researchers identify interesting compounds being produced by bacteria in co-culture, they still need to comb through the bacterial genomes to try to figure out which gene clusters they came from. “We have to work backwards to identify which processes we have woken up,” says Kolter.
Looking ahead: Traxler is trying to use microfluidics to make this approach higher-throughput, and hopes to eventually test tens of thousands of combinations using this setup. He is also planning to go from looking at simple binary interactions to looking at more-complex interactions in natural settings.
How to use: “It’s pretty cheap and easy to do this,” says Traxler. Just set up your co-cultures and watch them grow.
FEMS Microbiology Reviews, doi:10.1093/femsre/fuw035, 2016
Investigator: Mohammad Seyedsayamdost, Assistant Professor, Department of Chemistry, Princeton University
Project: Screen a small-molecule library for compounds that activate silent gene clusters.
Approach: Seyedsayamdost and his team postulated that certain natural compounds turn on biosynthetic gene clusters, so they developed a high-throughput screen to search out these elicitor molecules. Seyedsayamdost’s group first inserts a genetic reporter, such as lacZ, into a gene cluster of interest. They then expose the bacteria to a large library of natural products and bioactive small molecules, looking for those that induce the expression of the gene cluster. The approach can pinpoint molecules that activate a specific silent gene cluster as well as global elicitors that activate many different clusters (PNAS, 111:7266-71, 2014). “Interestingly, it turned out that antibiotics in these compound libraries in many cases turn out to be the elicitors,” Seyedsayamdost says. This suggests that old antibiotics could be used to find new antibiotics.
Advantages: “One of the advantages of our method is that we can find naturally occurring inducers,” says Seyedsayamdost. Identifying global elicitors that activate many gene clusters could also help researchers identify common regulatory mechanisms that could be deployed to activate silent clusters. In addition, the approach can be used to screen tens of thousands of small-molecule elicitors at the same time.
Limitations: The main challenge of the system lies in genetically modifying the bacteria with a suitable reporter, which can be difficult and time-consuming depending on the species. Seyedsayamdost has successfully applied the technique to the gram-negative soil bacterium Burkholderia thailandensis, but getting it to work in less genetically tractable species will require more time and effort, he says.
Looking ahead: Seyedsayamdost is expanding the technique to different bacterial species. “We’re now getting it to work in Actinomycetes, which are responsible for many antibiotics,” says Seyedsayamdost. In organisms where it’s difficult to insert a genetic reporter, he envisions using mass spectrometry as a readout for bacterially produced small molecules. He is also trying to use more than one reporter to simultaneously assay multiple gene clusters, and eventually hopes to use RNA-seq to monitor an elicitor’s effects on an organism’s entire transcriptome.
How to use: The approach involves standard microbiology and genetics techniques. The main expense comes from the small-molecule screening. “Each screen may cost something like $500 to $5000 with a 5,000- to 10,000-compound library,” says Seyedsayamdost. “For the amount of data you get, it’s actually fairly affordable. Once the screen is done, you’re off to the races.”
Adapted from Nucleic Acids Res, doi:10.1093/nar/gkn991, 2009Investigator: Huimin Zhao, Professor, Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign
Project: Use synthetic biology to re-create and express silent gene clusters.
Approach: Zhao’s team uses bioinformatics to home in on a gene cluster’s structural genes—those that don’t encode regulatory proteins but are instead directly involved in the synthesis of the compound. The researchers then either amplify these genes using PCR or synthesize them anew. They clone these genes into a previously developed plug-and-play scaffold with standardized promoters for expressing biosynthetic pathway genes (Nucleic Acids Res, doi:10.1093/nar/gkn991, 2009; Mol Biosyst, 7:1056-59, 2011). Finally, they express the genes in a nonnative, or heterologous, host. “The whole idea is to basically rebuild the pathway from scratch,” Zhao says. The researchers used this method to activate a silent biosynthetic gene cluster from Streptomyces griseus and identify potential antibiotic compounds (Nat Commun, 4:2894, 2013).
Advantages: By focusing on the structural genes from the biosynthetic cluster, Zhao’s approach aims to circumvent the expression of any regulatory genes that might repress the gene cluster. Using well-characterized and standardized promoters and heterologous hosts, the technique also reduces the number of variables that researchers need to troubleshoot in order to activate a particular cluster. The method also makes it easy to delete or alter specific genes in a cluster; by deleting different genes, Zhao was able to dissect the individual steps of a Streptomyces biosynthetic pathway. By tweaking the scaffold and changing the heterologous host used, the technique could be extended to other species of bacteria and eukaryotes. “You cannot just work on one organism; you have to work on many different ones,” Zhao says.
Limitations: Gene clusters from some bacteria, such as Streptomyces, can be hard to amplify using PCR. Synthesizing the gene cluster is an alternative, but could get expensive if the cluster has a lot of genes. In addition, the host used may lack some of the precursors necessary to create the final product of the cluster.
Looking ahead: Zhao’s eventual goal is to automate the synthetic expression of silent gene clusters. “In order to make an impact, we have to scale up the process,” he says. “Given the recent progress, I’m very optimistic.”
How to use: The protocols used in Zhao’s technique have been published and all the necessary tools are commercially available. “[Researchers] just need to follow the protocols, they’re all very straightforward,” he says. He estimates that it should cost a few hundred dollars to synthetically construct and express a particular gene cluster.