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WHY THIS MATTERS IN BRIEF

DNA storage holds huge amounts of promise but getting information into DNA and then getting it back out again has been problematic.

 

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Humanity is creating information at an unprecedented rate, and I’m not just talking about the phenomenal proliferation of cat photos. Some 16 zettabytes is created every year, and this rate is increasing. Last year, for example, the research group IDC calculated that we’ll be producing over 160 zettabytes every year by 2025. And all this data has to be stored, so as a result we need much denser memory storage solutions than we have today.

 

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One intriguing solution that researchers have been experimenting with for a while now is the concept of DNA storage with numerous breakthroughs in the field, from the development of new DNA storage platforms that will go live this year, courtesy of Microsoft and Catalog, that can store up to 215 petabytes of information in a single gram of DNA, on your desk, or putting it another way all the world’s information in a shoebox, as well as the development of the world’s first DNA storage file systems and even DNA computers.

What’s most impressing researchers though is the belief that in time you’ll be able to storage over a zettabyte of information in a single gram of DNA, and collapse an entire  Google sized hyperscale datacentre into something no larger than a regular office desk. All that said though so far nobody has come up with a commercially feasible way to store data in a DNA and then retrieve it again quickly when it is needed, although Microsoft and Catalog are getting very close.

Now though that changes thanks to the work of Federico Tavella at the University of Padua in Italy and colleagues, who have designed and tested just such a technique based on a phenomenon called Bacterial Nano-Networks.

 

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The principle is simple. Bacteria often carry genetic information in the form of tiny circular rings of double-stranded DNA called plasmids. These molecules are important because they often confer some advantage to the host cell, such as antibiotic resistance.

Crucially, bacteria can transfer plasmids from one cell to another in a process known as conjugation. This is one way that bacteria swap genetic information, and the process forms a fantastically complex nanonetwork in nature.

That’s the basis of the new technique. Tavella and his team want to exploit nanonetworks to transfer information that they have genetically engineered into the plasmids.

The idea is to store data in plasmids inside bacterial cells that are trapped in a specific location. To retrieve this information, the researchers send motile bacteria to this site, where they conjugate with the trapped bacteria and capture the data-carrying plasmids. Finally, the motile bacteria carry this information to a device that extracts the plasmids and reads the data they carry.

 

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Tavella and his team have even performed a proof-of-principle experiment, using two different strains of E. coli – HB101 and Novablue – that are resistant to different antibiotics. HB101 is resistant to streptomycin, while Novablue has tetracycline-resistant plasmids. Novablue can pass on this resistance to HB101 by transferring these plasmids during conjugation.

That gives the team control over where the bacteria can grow. For example, Novablue can survive when tetracycline is present, but HB101 cannot – unless it has conjugated with Novablue and become resistant.

So the prototype memory consists of a data storage area, a data reader, and a data transfer channel that connects them. To store data, the researchers encode a simple message into the tetracycline-resistant plasmids carried by the Novablue bacteria. In keeping with tradition, the message is “Hello World.” They also include a fluorescent dye in the plasmid so they can monitor its movement.

To start, the Novablue bacteria are placed in the data storage area, where they cannot escape. In practice, this is a flat surface of hard agar that is not suitable for bacterial motility. In any case, the team surrounds this with streptomycin, which kills Novablue.

 

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The data transfer channel runs from a source of HB101 bacteria across the data storage area and then on toward the data reader. This consists of soft agar that is suitable for bacterial motility. And since HB101 is resistant to streptomycin, it can move through this channel with relative ease.

However, the region between the data storage area and the data reader is rich in tetracycline as well as streptomycin. And this prevents both bacteria from traveling across it.

What happens next is key. The HB101 bacteria travel to the data storage area, conjugate with the Novablue bacteria, and pick up the data-carrying plasmids.

But this also gives them tetracycline resistance. And that means that when they have picked up the data, they can then travel on through the channel to the data reader. The researchers then extract the plasmids and read the data – “Hello World.” They can watch the way information flows across this network thanks to the fluorescent dye.

It’s not exactly fast: the HB101 bacteria take some 72 hours to travel across the agar channel. So data rates are snail-like. But the experiment shows how a DNA data archive could work in principle, and over time with experimentation this process will only get faster – with the question then becoming, can it get fast enough?

 

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There is another important element of a data archive. In such a system, there will be many data storage locations, and each one will have to be addressable. In other words, there must be a way for the data transfer bacteria to find each location.

Tavella has an answer to this too: a molecular positioning system that is analogous to the GPS. This relies on beacons that each release a chemical that attracts the bacteria. Indeed, the bacteria can be engineered to follow these chemical trails.

Then, with three different chemical trails, it is possible to triangulate a position in space. When motile bacteria follow all three trails, they end up at the location where all three chemical signals overlap. In simulations, the researchers say, this process works well, but they have yet to try it in a wet lab. Nevertheless, the work is an interesting step towards practical DNA-based data storage.

“Our solution allows digitally encoded information to be stored into non-motile bacteria, which compose an archival architecture of clusters, and to be later retrieved by engineered motile bacteria, whenever reading operations are needed,” say Tavella. And the proof-of-principle experiment shows how this could work.

 

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“We have conducted wet lab experiments that show how bacteria nano-networks can effectively retrieve a simple message, such as ‘Hello World,’ by conjugation with non-motile bacteria, and finally mobilize towards a final point,” he says.

Of course, there are many challenges ahead. The molecular positioning system is interesting but will need to be tested in a wet lab to see how versatile and practical it can be. And data rates will need to be ramped up. That won’t be possible by increasing the speed at which bacteria travel, but rates could be significantly improved by increasing the amount of data each plasmid stores.

Early days for a potentially exciting technique.

Source: Arvix

About author

Matthew Griffin

Matthew Griffin, described as “The Adviser behind the Advisers” and a “Young Kurzweil,” is the founder and CEO of the World Futures Forum and the 311 Institute, a global Futures and Deep Futures consultancy working between the dates of 2020 to 2070, and is an award winning futurist, and author of “Codex of the Future” series. Regularly featured in the global media, including AP, BBC, CNBC, Discovery, RT, and Viacom, Matthew’s ability to identify, track, and explain the impacts of hundreds of revolutionary emerging technologies on global culture, industry and society, is unparalleled. Recognised for the past six years as one of the world’s foremost futurists, innovation and strategy experts Matthew is an international speaker who helps governments, investors, multi-nationals and regulators around the world envision, build and lead an inclusive, sustainable future. A rare talent Matthew’s recent work includes mentoring Lunar XPrize teams, re-envisioning global education and training with the G20, and helping the world’s largest organisations envision and ideate the future of their products and services, industries, and countries. Matthew's clients include three Prime Ministers and several governments, including the G7, Accenture, Bain & Co, BCG, Credit Suisse, Dell EMC, Dentons, Deloitte, E&Y, GEMS, Huawei, JPMorgan Chase, KPMG, Lego, McKinsey, PWC, Qualcomm, SAP, Samsung, Sopra Steria, T-Mobile, and many more.

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