“Horizontal gene transfer is an important way that antibiotic resistance moves between bacterial species, but the process has never been observed before, since the structures involved are so incredibly small,” said biologist Ankur Dalia of Indiana University Bloomington.
Bacteria are slippery little suckers. They evolve rapidly, developing resistance to antibiotics and therefore becoming increasingly difficult to deal with. Now, for the first time, researchers have caught on film one of the mechanisms the microbes use for this speedy evolution.
Two Vibrio cholerae bacteria — the pathogen responsible for cholera — sit under a microscope, glowing a vivid green. As we watch, a tendril snakes forth from one of the bacterium, harpooning a piece of DNA and carrying it back to its body.
That appendage is called a pili, and the process whereby the bacteria incorporates the new genetic material from a different organism into its own DNA to expedite its evolution is called horizontal gene transfer.
On Thursday, an international team of scientists announced a new explanation for the evolution of brain size expansion: Unique genes that, to date, have only been found in humans. They’re called NOTCHN2NL genes and so far the scientists have identified eight different versions of them.
In general, modelers attack the problem by breaking it into billions of bits, either by dividing space into a 3D grid of subvolumes or by parceling the mass of dark and ordinary matter into swarms of particles. The simulation then tracks the interactions among those elements while ticking through cosmic time in, say, million-year steps. The computations strain even the most powerful supercomputers. BlueTides, for example, runs on Blue Waters—a supercomputer at the University of Illinois in Urbana that can perform 13 quadrillion calculations per second. Merely loading the model consumes 90% of the computer’s available memory, Feng says.
For years such simulations produced galaxies that were too gassy, massive, and blobby. But computer power has increased, and, more important, models of the radiation-matter feedback have improved. Now, hydrodynamic simulations have begun to produce the right number of galaxies of the right masses and shapes—spiral disks, squat ellipticals, spherical dwarfs, and oddball irregulars—says Volker Springel, a cosmologist at the Heidelberg Institute for Theoretical Studies in Germany who worked on Millennium and leads the Illustris simulation. “Until recently, the simulation field struggled to make spiral galaxies,” he says. “It’s only in the last 5 years that we’ve shown that you can make them.”
The models now show that, like people, galaxies tend to go through distinct life stages, Hopkins says. When young, a galaxy roils with activity, as one merger after another stretches and contorts it, inducing spurts of star formation. After a few billion years, the galaxy tends to settle into a relatively placid and stable middle age. Later, it can even slip into senescence as it loses its gas and the ability make stars—a transition our Milky Way appears to be making now, Hopkins says. But the wild and violent turns of adolescence make the particular path of any galaxy hard to predict, he says.
Capitalizing on the unparalleled sharpness and spectral range of NASA’s Hubble Space Telescope, an international team of astronomers is releasing the most comprehensive, high-resolution ultraviolet-light survey of nearby star-forming galaxies.
The researchers combined new Hubble observations with archival Hubble images for 50 star-forming spiral and dwarf galaxies in the local universe, offering a large and extensive resource for understanding the complexities of star formation and galaxy evolution. The project, called the Legacy ExtraGalactic UV Survey (LEGUS), has amassed star catalogs for each of the LEGUS galaxies and cluster catalogs for 30 of the galaxies, as well as images of the galaxies themselves. The data provide detailed information on young, massive stars and star clusters, and how their environment affects their development.
“There has never before been a star cluster and a stellar catalog that included observations in ultraviolet light,” explained survey leader Daniela Calzetti of the University of Massachusetts, Amherst. “Ultraviolet light is a major tracer of the youngest and hottest star populations, which astronomers need to derive the ages of stars and get a complete stellar history. The synergy of the two catalogs combined offers an unprecedented potential for understanding star formation.”
Check out the internal Google film, “The Selfish Ledger”. This probably wasn’t meant to slip onto a public web server, and so I have embedded a backup copy below. Ping me if it disappears. I will locate a permanent URL.
This 8½ minute video is a lot deeper—and possibly more insipid—than it appears. Nick Foster may be the Anti-Christ, or perhaps the most brilliant sociologist of modern times. It depends on your vantage point, and your belief in the potential of user controls and cat-in-bag containment.
He talks of a species propelling itself toward “desirable goals” by cataloging, data mining, and analyzing the past behavior of peers and ancestors—and then using that data to improve the experience of each user’s future and perhaps even their future generations. But, is he referring to shared goals across cultures, sexes and incomes? Who controls the algorithms and the goal filters?! Is Google the judge, arbiter and God?
Consider these quotes from the video. Do they disturb you? The last one sends a chill down my spine. But, I may be overreacting to what is simply an unexplored frontier. The next generation in AI. I cannot readily determine if it ushers in an era of good or bad:
Behavioral sequencing « a phrase used throughout the video
Viewing human behavior through a Lemarkian lens
An individual is just a carrier for the gene. The gene seeks to improve itself and not its host
And [at 7:25]: “The mass multigenerational examination of actions and results could introduce a model of behavioral sequencing.”
There’s that odd term again: behavioral sequencing. It suggests that we are mice and that Google can help us to act in unison toward society’s ideal goals.
Today, Fortune Magazine described it this way: “Total and absolute data collection could be used to shape the decisions you make … The ledger would essentially collect everything there is to know about you, your friends, your family, and everything else. It would then try to move you in one direction or another for your or society’s apparent benefit.”
The statements could apply just as easily to the NSA as it does to Google. At least we are entering into a bargain with Google. We hand them data and they had us numerous benefits (the same benefits that many users often overlook). Yet, clearly, this is heavy duty stuff—especially for the company that knows everything about everyone. Watch it a second time. Think carefully about the power that Google wields.
Don’t get me wrong. I may be in the minority, but I generally trust Google. I recognize that I am raw material and not a client. I accept the tradeoff that I make when I use Gmail, web search, navigate to a destination or share documents. I benefit from this bargain as Google matches my behavior with improved filtering of marketing directed at me.
But, in the back of my mind, I hope for the day that Google implements Blind Signaling and Response, so that my data can only be used in ways that were disclosed to me—and that strengthen and defend that bargain, without subjecting my behavior, relationships and predilections to hacking, misuse, or accidental disclosure.
The microbiota can influence host behaviour through the gut–brain axis. In this Opinion, Johnson and Foster explore the evolution of this relationship and propose that adaptations of competing gut microorganisms may affect behaviour as a by‑product, leading to host dependence.
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Ignored for 30 years after its discovery, this archaic baleen whale finally gets a place in the spotlight.
A whale fossil unearthed three decades ago in New Zealand’s South Canterbury district has led to an unexpected find that rewrites the history of whale evolution, National Geographicreports.
The fossil dates back 27 million years ago and was identified as a previously unknown genus of baleen whale.