Project Description

The Problem

Bacterial pathogens cause many of the most devastating plant diseases of the modern age: fire blight of apples and pears, Pierce’s disease in grapes—shown in Figure 1—and crown gall disease, just to name a few (Mansfield et al., 2012). The scourge of plant pathogens in agriculture has affected not only the livelihoods of farmers but also the food supply. Globally, plant pathogens cause roughly $220 billion in crop yield loss every year (FAO, 2017); the potato pathogen Ralstonia solanacearum alone is responsible for over $1 billion in annual agricultural losses (Mansfield et al., 2012).

Figure 1. Leaves on a grapevine showing characteristic symptoms of Pierce’s disease caused by infection with the bacterium Xylella fastidiosa. Source: OSU Extension.

This year, the UT Austin iGEM team is tackling the problem of bacterial plant pathogens in agriculture by engineering protective strains of bacteria (our chassis) to secrete small antimicrobial peptides known as microcins. These peptides are specifically selected to kill the pathogen of interest and have a relatively narrow target spectrum (Parker & Davies, 2022). Our goal is to create a modular system in which microcins targeting different plant pathogens can be easily swapped out with each other for secretion by the chassis, enabling the rapid engineering of multiple biocontrols that each target a specific pathogen.

Current control methods for preventing infection, such as antimicrobial pesticides and insecticides, have many negative impacts and are ultimately unsustainable. Long-term use of antimicrobial pesticides may inadvertently select for resistance in pathogenic bacteria while also killing off beneficial plant symbiotic microbes, and pesticide run-off can cause serious environmental damage as well as threaten human health. Biocontrols, however, are a less-explored but increasingly promising solution to plant pathogen control. While already used in agriculture to a small extent, bacterial biocontrols only make up approximately 1% of current plant pathogen control methods (Lahlali et al., 2022).

Using Microcins

Our team’s key goal is to demonstrate that we can engineer a modular system that enables a non-pathogenic bacterial chassis to kill a plant pathogen of interest, thus acting as a biocontrol. In order to inhibit the proliferation of target pathogens, we are engineering our chassis to secrete small antimicrobial peptides known as microcins—a subclass of bacteriocins—that can ideally kill the pathogenic bacterium before it severely infects the plant. These microcins act as molecular ‘weapons’ that the chassis can use against the pathogenic target strain by secreting them outside of the cell. But why microcins?

Currently characterized microcins are highly specific in their bactericidal activity, and this is thought to make it more challenging for target species to develop resistance (Parker & Davies, 2022). This specificity of microcins is generally attributed to their evolution as a weapon of interbacterial competition, as it has been observed that bacteria within the same niche (often close relatives) are the most likely to produce active microcins against one another (Cole et al., 2022). Because of this, microcins generally have a narrow target spectrum and would likely produce less disturbance to the overall plant microbiome than traditional antimicrobial compounds.

The microcin secretion system

To ensure that microcins produced by our chassis can exit the cell to act against their pathogen targets, we have chosen to base our design on a characterized two-plasmid microcin secretion system (Kim et al., 2023). In the original system, one plasmid is a microcin expression plasmid that expresses E. coli microcin V while the other is a secretion system plasmid known as pSK01 (Kim et al., 2023). We specifically redesigned the original microcin expression plasmid to be a modular system. This allows our biocontrol chassis to secrete a microcin of our choosing when it is transformed with pSK01 and our modular microcin expression plasmid.

The first plasmid—labeled as plasmid 1 in Figure 3—contains coding sequences for the type I secretion system proteins CvaA (a membrane fusion protein) and CvaB (C39 peptidase domain-containing ABC transporter) under a constitutive promoter (Kim et al., 2023). The positions of these proteins in the membrane are displayed in Figure 2. The TolC exit channel protein is not expressed from pSK01 because this receptor is already present in the genomes of most Gram-negative bacteria (Kim et al., 2023).

The second plasmid—plasmid 2 in Figure 3—contains the coding sequences for a microcin and its associated immunity protein, the latter of which prevents the microcin from killing the cell that produces it. This plasmid includes a short signal peptide (labeled SP in Figure 2) sequence upstream of the microcin, which binds to the cognate type I secretion system and is subsequently cleaved off during microcin export. There are two variants of this second plasmid—one version places the microcin and immunity protein under a constitutive promoter, while the other instead uses an inducible promoter system for regulation of microcin transcription.

Figure 2. Schematic of the microcin V type I secretion system in E. coli. From Kim et al., 2023.

We have been working with a set of seven inducible promoter systems optimized in an E. coli ‘Marionette’ strain (Meyer et al., 2019) in order to engineer a version of our microcin expression plasmid under inducible control. This allows microcin expression to be turned ‘on’ and ‘off’ as needed and mitigates any potentially toxic effects of expression within the host chassis that are not controlled by the immunity protein. Additionally, inducibility of the microcins allows for the testing of microcins in a self-inhibition assay.

The two-plasmid microcin secretion system. The CvaA and CvaB proteins are encoded on the secretion plasmid, pSK01. In the microcin expression plasmid, the signal peptide signals to the cell to secrete the microcin, and the immunity protein helps prevent toxicity of the microcin to the host. The inducer-regulated transcription factor has a net activating effect on transcription in the presence of its inducer molecule. Created with BioRender.com.

Identifying Microcins

We have been using a recently developed bioinformatics tool known as cinful (Cole et al., 2022) to find candidate microcin sequences that target phytopathogenic bacteria, including Erwinia amylovora (the causal agent of fire blight) and Pantoea strains that cause onion center rot. This tool scans the genomes of strains within the same genus as the pathogen in question to identify nucleotide sequences that show sequence similarity to a set of 10 known microcins. Other characteristics such as proximity to likely secretion system proteins are also considered when determining whether a peptide may be a microcin.

Why test on onions?

Due to the relatively short time span of iGEM project preparation, we sought a pathogen-plant relationship model that would not take months of growing to analyze in our pathogen inhibition experiments. The easiest way to do this was to select a bacterium that can affect a plant both before and after it has been harvested. Pantoea-mediated onion center rot is observed to affect onions in both the pre- and post-harvest stages (Agarwal et al., 2019), and harvested onions are easily accessible at any grocery store. We successfully inoculated onions with our pathogenic Pantoea strains and observed the expected characteristics of center rot (Fig 4), meaning we could use this assay to test the effectiveness of protection by our microcin-secreting bacteria.

Figure 4. To the right is pictured a sweet onion 21 days post-inoculation with Pantoea ananatis PNA 97-1R, a causal agent of onion center rot. The onion to the left was inoculated with water as a control.

References

Agarwal, G., Stumpf, S., Kvitko, B., & Dutta, B. (2019). ​​​Center Rot of Onion​. The Plant Health Instructor, 10.

Cole, T. J., Parker, J. K., Feller, A. L., Wilke, C. O., & Davies, B. W. Evidence for Widespread Class II Microcins in Enterobacterales Genomes. Applied and Environmental Microbiology, 2022, 88(23). https://doi.org/10.1128/aem.01486-22

FAO. 2017. The future of food and agriculture – Trends and challenges. Food and Agriculture Organization of the United Nations. https://www.fao.org/3/i6583e/i6583e.pdf

Kim, S-Y., Parker, J. K., Gonzalez-Magaldi, M., Telford, M. S., Leahy, D. J., & Davies, B. W. (2023). Export of Diverse and Bioactive Small Proteins through a Type I Secretion System. Applied and Environmental Microbiology, 89(5), e00335-23. https://doi.org/10.1128/aem.00335-23

Lahlali, R., Ezrari, S., Radouane, N., Kenfaoui, J., Esmaeel, Q., El Hamss, H., Belabess, Z., & Barka, E. A. Biological Control of Plant Pathogens: A Global Perspective. Microorganisms. 2022, 10(3):596. https://doi.org/10.3390%2Fmicroorganisms10030596

Mansfield, J., Genin, S., Magori, S., Citovsky, V., Sriariyanum, M., Ronald, P., ... & Foster, G. D. (2012). Top 10 plant pathogenic bacteria in molecular plant pathology. Molecular Plant Pathology, 13(6), 614-629. https://doi.org/10.1111/j.1364-3703.2012.00804.x

Meyer, A. J., Segall-Shapiro, T. H., Glassey, E., Zhang, J., & Voigt, C. A. (2019). Escherichia coli “Marionette” strains with 12 highly optimized small-molecule sensors. Nature Chemical Biology, 15(2), 196-204. https://doi.org/10.1038/s41589-018-0168-3

OSU Extension. (2021, April 13). Pierce’s Disease of Grape. Oklahoma State University. https://extension.okstate.edu/programs/digital-diagnostics/plant-diseases/pierces-disease-of-grape.html

Parker, J. K., & Davies, B. W. (2022). Microcins reveal natural mechanisms of bacterial manipulation to inform therapeutic development. Microbiology, 168(4), 001175. https://doi.org/10.1099/mic.0.001175