The Kerfeld lab has analyzed over 200 sets of cyanobacteria DNA, towards someday building synthetic factories that will produce green fuels or medical diagnostic products.
How to build artificial nanofactories to power our futures: Logistics
When we buy a new phone or laptop online, we assume it will be delivered to our doorstep in a matter of days.
But we mostly miss the complex logistics that make this happen: ships, planes, trains, and trucks that move products, starting from raw materials in mines, to factories for assembly, to warehouses for storage, and up to our doorsteps.
Scientists at the MSU-DOE Plant Research Laboratory are trying to build artificial nanofactories to sustainably produce industrial materials or medical tools.
And like with getting new phones, these artificial nanofactories of the future will need an army of "nano" vehicles to deliver valuable chemical products.
But we don’t know enough about the logistics just yet.
It turns out bacteria in nature have the blueprint for us to copy. They house nanofactories, called bacterial microcompartments (BMCs) - that fill many purposes, depending on the host.
In cyanobacteria, for example, BMCs build useful compounds from carbon dioxide pulled from the atmosphere. Or, some pathogenic bacteria use them to outcompete “good” bacteria.
In a new study, published in the journal Biochemistry, Jeff Plegaria and the Kerfeld lab reveal the structure and function of a widespread BMC protein that contributes to the logistics of creating products, taking us closer to repurposing BMCs for our own uses.
Describing the Fld1C flavoprotein
Jeff and his colleagues noticed that many natural BMCs – especially a type that degrades carbon to help make useful energy compounds – contain genes for flavoproteins right next to the primary genes responsible for constructing and operating the BMCs.
Primary genes include instructions for building and managing BMCs, transporting materials back and forth, and so on.
And being close to the core genes meant flavoproteins play an important role within BMCs.
So, what do flavoproteins do?
“They are electron transfer proteins found in many bacteria and other biological pathways in nature. Electron transfer, or flow, is a fundamental process in nature,” Jeff says.
“Understanding electron flow in BMCs is crucial, because it is part of the assembly line that leads to the creation of final chemical products. But, we still don’t know much about how flavoproteins work in BMCs.”
In the study, Jeff zoomed in on one BMC flavoprotein, which his group named Fld1C.
They were able to characterize it, revealing its structure, describing its physical features, and confirming its ability to take part in electron transfer reactions.
“With help from scientists at Argonne National Laboratory, we generated an agent that can pass an electron on to a willing acceptor. We successfully showed our Fld1C flavoprotein accepting an electron from that agent.”
“Understanding these logistics – how electrons flow in and out of BMCs – is vital to building and controlling synthetic BMCs for custom applications.”
Such applications could include producing industrial materials like rubber or petroleum, without relying on fossil fuels.
Or we could build medical tools that disarm BMCs in “bad” bacteria – like Salmonella – and prevent them from wreaking their havoc.
Banner image: Ships help handle the complex logistics to deliver products to consumers. Future artificial nanofactories will also need a chain of logistical "nano" vehicles to deliver products. By Max Pixel/CC0 Public Domain. This work was primarily funded by the US Department of Energy, Office of Basic Energy Sciences. The authors would also like to thank Dr. Michaela TerAvest for helping characterize the flavoprotein redox properties and the Argonne National Laboratory for help with confirming electron transfer reactions.
Researchers are integrating their work into undergraduate cell and molecular biology laboratory courses at Michigan State University through the use of Arabidopsis mutant screenings.
MSU-DOE Plant Research Laboratory (PRL) scientists have published a new study that furthers our understanding of how plants make membranes in chloroplasts, the photosynthesis powerhouse
A new AI system, called DeepLearnMOR, can identify organelles and classify hundreds of microscopy images in a matter of seconds and with an accuracy rate of over 97%. The study illustrates the potential of AI to significantly increase the scope, speed, and accuracy of screening tools in plant biology.