Scientists create a 'lifelike' material that has metabolism and can self-reproduce
An innovation may lead to lifelike evolving machines.
- Scientists at Cornell University devise a material with 3 key traits of life.
- The goal for the researchers is not to create life but lifelike machines.
- The researchers were able to program metabolism into the material's DNA.
Cornell University engineers have created an artificial material that has three key traits of life — metabolism, self-assembly and organization. The engineers were able to pull off such a feat by using DNA in order to make machines from biomaterials that would have characteristics of alive things.
Dubbing their process DASH for "DNA-based Assembly and Synthesis of Hierarchical" materials, the scientists made a DNA material that has metabolism — the set of chemical processes that convert food into energy necessary for the maintenance of life.
The goal for the scientists is not to create a lifeform but a machine with lifelike characteristics, with Dan Luo, professor of biological and environmental engineering, pointing out "We are not making something that's alive, but we are creating materials that are much more lifelike than have ever been seen before."
The major innovation here is the programmed metabolism that is coded into the DNA materials. The set of instructions for metabolism and autonomous regeneration allows the material to grow on its own.
In their paper, the scientists described the metabolism as the system by which "the materials comprising life are synthesized, assembled, dissipated, and decomposed autonomously in a controlled, hierarchical manner using biological processes."
To keep going, a living organism must be able to generate new cells, while discarding old ones and waste. It is this process that the Cornell scientists duplicated using DASH. They devised a biomaterial that can arise on its own from nanoscale building blocks. It can arrange itself into polymers first and into mesoscale shapes after.
The DNA molecules in the materials were duplicated hundreds of thousands of times, resulting in chains of repeating DNA that were a few millimeters in length. The solution with the reaction was injected into a special microfluidic device that facilitated biosynthesis.
This flow washed over the materials, causing DNA to synthesize its own strands. The material even had its own locomotion, with the front end growing while the tail end was degrading, making it creep forth.
This fact allowed the researchers to have portions of the materials competing against each other.
"The designs are still primitive, but they showed a new route to create dynamic machines from biomolecules. We are at a first step of building lifelike robots by artificial metabolism," explained Shogo Hamada, the lead and co-corresponding author of the paper as well as a lecturer and research associate in the Luo lab. "Even from a simple design, we were able to create sophisticated behaviors like racing. Artificial metabolism could open a new frontier in robotics."
Credit: Shogo Hamada / Cornell University
The material that was created lasted for two cycles of synthesis and degradation but the longevity can be extended, think the researchers. This could lead to more generations of the material, eventually resulting in a "lifelike self-reproducing machines," said Hamada.
He also foresees that the system can result in a "self-evolutionary possibility."
Next for the material? The engineers are looking at how to get it to react to stimuli and be able to seek out light or food all on its own. They also want it to be able to avoid harmful stimuli.
Check out the video of Professor Luo explaining their achievement here —
You can check out the new paper "Dynamic DNA Material With Emergent Locomotion Behavior Powered by Artificial Metabolism," in the April 10th issues of Science Robotics.
Dominique Crenn, the only female chef in America with three Michelin stars, joins Big Think Live this Thursday at 1pm ET.
Scientists discover the inner workings of an effect that will lead to a new generation of devices.
- Researchers discover a method of extracting previously unavailable information from superconductors.
- The study builds on a 19th-century discovery by physicist Edward Hall.
- The research promises to lead to a new generation of semiconductor materials and devices.
Credit: Gunawan/Nature magazine
The number of people with dementia is expected to triple by 2060.
The images and our best computer models don't agree.
A trio of intriguing galaxy clusters<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNDQzNDA0OS9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYxNTkzNzUyOH0.0IRzkzvKsmPEHV-v1dqM1JIPhgE2W-UHx0COuB0qQnA/img.jpg?width=980" id="d69be" class="rm-shortcode" data-rm-shortcode-id="2d2664d9174369e0a06540cb3a3a9079" data-rm-shortcode-name="rebelmouse-image" />
The three galaxy clusters imaged for the study
Mapping dark matter<span style="display:block;position:relative;padding-top:56.25%;" class="rm-shortcode" data-rm-shortcode-id="d904b585c806752f261e1215014691a6"><iframe type="lazy-iframe" data-runner-src="https://www.youtube.com/embed/fO0jO_a9uLA?rel=0" width="100%" height="auto" frameborder="0" scrolling="no" style="position:absolute;top:0;left:0;width:100%;height:100%;"></iframe></span><p>The assumption has been that the greater the lensing effect, the higher the concentration of dark matter.</p><p>As scientists analyzed the clusters' large-scale lensing — the massive arc and elongation visual effects produced by dark matter — they noticed areas of smaller-scale lensing within that larger distortion. The scientists interpret these as concentrations of dark matter within individual galaxies inside the clusters.</p><p>The researchers used spectrographic data from the VLT to determine the mass of these smaller lenses. <a href="https://www.oas.inaf.it/en/user/pietro.bergamini/" target="_blank" rel="noopener noreferrer">Pietro Bergamini</a> of the INAF-Observatory of Astrophysics and Space Science in Bologna, Italy explains, "The speed of the stars gave us an estimate of each individual galaxy's mass, including the amount of dark matter." The leader of the spectrographic aspect of the study was <a href="http://docente.unife.it/docenti-en/piero.rosati1/curriculum?set_language=en" target="_blank">Piero Rosati</a> of the Università degli Studi di Ferrara, Italy who recalls, "the data from Hubble and the VLT provided excellent synergy. We were able to associate the galaxies with each cluster and estimate their distances." </p><p>This work allowed the team to develop a thoroughly calibrated, high-resolution map of dark matter concentrations throughout the three clusters.</p>
But the models say...<p>However, when the researchers compared their map to the concentrations of dark matter computer models predicted for galaxies bearing the same general characteristics, something was <em>way</em> off. Some small-scale areas of the map had 10 times the amount of lensing — and presumably 10 times the amount of dark matter — than the model predicted.</p><p>"The results of these analyses further demonstrate how observations and numerical simulations go hand in hand," notes one team member, <a href="https://nena12276.wixsite.com/elenarasia" target="_blank">Elena Rasia</a> of the INAF-Astronomical Observatory of Trieste, Italy. Another, <a href="http://adlibitum.oats.inaf.it/borgani/" target="_blank" rel="noopener noreferrer">Stefano Borgani</a> of the Università degli Studi di Trieste, Italy, adds that "with advanced cosmological simulations, we can match the quality of observations analyzed in our paper, permitting detailed comparisons like never before."</p><p>"We have done a lot of testing of the data in this study," Meneghetti says, "and we are sure that this mismatch indicates that some physical ingredient is missing either from the simulations or from our understanding of the nature of dark matter." <a href="https://physics.yale.edu/people/priyamvada-natarajan" target="_blank">Priyamvada Natarajan</a> of Yale University in Connecticut agrees: "There's a feature of the real Universe that we are simply not capturing in our current theoretical models."</p><p>Given that any theory in science lasts only until a better one comes along, Natarajan views the discrepancy as an opportunity, saying, "this could signal a gap in our current understanding of the nature of dark matter and its properties, as these exquisite data have permitted us to probe the detailed distribution of dark matter on the smallest scales."</p><p>At this point, it's unclear exactly what the conflict signifies. Do these smaller areas have unexpectedly high concentrations of dark matter? Or can dark matter, under certain currently unknown conditions, produce a tenfold increase in lensing beyond what we've been expecting, breaking the assumption that more lensing means more dark matter?</p><p>Obviously, the scientific community has barely begun to understand this mystery.</p>
Scientists have found evidence of hot springs near sites where ancient hominids settled, long before the control of fire.