Where Do New Genes Come From?
New genes are more likely to emerge full-fledged from a genome's non-coding regions — sometimes referred to as "junk" DNA — than many scientists would have expected, according to new research by UA evolutionary biologists.
Joanna Masel's research group uses whiteboards and computers instead of test tubes and microscopes to study a variety of conundrums, such as evolvability (What enables living creatures to be shaped by evolution?), game theory (How do organisms, including people, compete for resources?) or finance (Who benefits from your 401k before you retire?). Photo: Steven Meckler
New genes are more likely to appear on the stage of evolution in full-fledged form rather than gradually take shape through successive stages of "proto genes" that become more and more refined over generations. This is the surprising upshot from research led by Benjamin Wilson and Joanna Masel at the University of Arizona, published as an Advance Online Publication by the scientific journal Nature Ecology & Evolution on April 24.
Evolutionary biologists have long pored over the question of where new genes come from, which poses something of a chicken-and-egg problem. Conventional wisdom has it that new genes — DNA sequences that code for a protein molecule — evolve from existing genes through duplication and divergence. This happens when DNA copying mechanisms accidentally leave behind an extra copy of a particular gene. Naturally occurring mutations subsequently introduce changes that alter the DNA sequence such that the new gene assumes a function previously not found in the organism's lineage.
Previous studies by other researchers suggested that new genes also emerge from non-coding DNA sequences, via primitive "proto-genes" that become refined over generations, resulting in an "adult," fully functional gene.
Masel and her team found the opposite to be more likely, based on the fact that non-coding DNA sequences are likely to give rise to highly ordered proteins. Proteins, which consist of amino acids chained together into so-called polypeptides, tend to fold into three-dimensional structures that range from simple to mindbogglingly complicated. And while "ordered" may sound like a good thing, Masel is quick to point out that a healthy dose of disorder is key to success when it comes to evolution coming up with new genes that serve as blueprints for new proteins.
For the study, the researchers compiled data on full-genome DNA sequences downloaded from yeast and mouse databases.
"We take all the known mouse genes and yeast genes and query them against everything that's ever been sequenced and see what they're related to," explains Masel, a professor in the Department of Ecology and Evolution and a member of the UA's BIO5 Institute, "and based on that, we assign each gene an age that tells us when it was born."
In the next step, the team used statistical analyses to create a model revealing the average degree of order that would be present in each gene's product.
"We found that the youngest genes are the least ordered of all, which is what you would expect to get if you birthed a gene," Masel says.
The key to a protein that can contribute a useful function for its organism while not harming it is a healthy mix between regions that are soluble because they consist of hydrophilic, or "water-loving," amino acids and stretches that are insoluble because of their hydrophobic, or "water-repelling," amino acids.
If a protein consists of too many water-loving amino acids, it will remain largely unfolded, floating around inside the cell as an unorganized chain incapable of performing biological tasks. If too much of its length is water-repelling, the amino acids will clump together, rendering the protein unusable, and even dangerous, because when such misfolded proteins bump into each other, they tend to stick to each other and accumulate.
"Now think about the most highly ordered proteins we know — amyloids," Masel says, referring to the infamous piles of proteins found in the brains of patients with Alzheimer's disease. "Because of this, the first order of business for any prospective gene is: 'Do no harm. Do not misfold.'"
This has profound implications for the evolution of new genes from non-coding DNA sequences. Because such sequences are likely to give rise to highly ordered proteins, they are likely to be deleterious to the organism. In this scenario, any prospective new gene must start out as some kind of "super gene," in contrast to a "proto gene." Rather than making its debut in the gene pool as an unrefined gene that still bears many similarities to the non-coding DNA sequences it came from, the protein it encodes must start with a higher-than average degree of disorder to prove itself before evolution would allow it becoming a permanent member of the gene pool.
"Instead of gradually working up to having more hydrophilic regions, young genes work their way down from being more hydrophilic and disordered, to more hydrophobic regions," Masel says. "In other words, when it comes to structural disorder, a polypeptide has the highest chance of being born if it is 'extra gene-like,' rather than 'sort of gene-like.'"
The probability that a gene could arise from a random, non-coding sequence — also known as "junk DNA," on the other hand, used to be considered negligible, based on the premise that in the vast majority of cases, a random sequence does more harm than good. This may not be so, argues a second paper in the same issue by Rafik Neme, one of the co-authors of the study discussed here. Neme, currently a postdoctoral researcher at Columbia University Medical Center in New York, found the first experimental evidence that non-coding, "silent" stretches of DNA are anything but that.
"Until now, nobody knew whether a random sequence could immediately have any effect that would result in a function, or whether function was slowly acquired over time," Neme says. "It's similar to the idea of having a monkey typewriting at random, and expecting it to produce meaningful work."
Neme's experiments show that many sequences exhibit relevant activities immediately, some good and some bad. This, in turn, suggests a discrete transition between non-genes and genes and would favor certain kind of sequences and functions over others.
Based on their findings, Neme and Masel point out, the pool from which genes are born might be more conducive to birthing new genes than one might expect.
"In our scenario, a gene precursor would be a transcript that happened to be translated into a protein sometimes but has no function," she says. "These things come up in evolution all the time, and mutation will quickly destroy it unless that polypeptide provides the organism with some advantage. There either is an advantage that natural selection can act on, or there isn't, so we don't think the would-be genes stick around for very long."
This, in turn, suggests that gene birth is a sudden transition, rather than a gradual process involving many intermediate steps.
Analytical Tool Predicts Disease-Causing GenesNews
Predicting genes that can cause disease due to the production of truncated or altered proteins that take on a new or different function, rather than those that lose their function, is now possible thanks to an international team of researchers that has developed a new analytical tool to effectively and efficiently predict such candidate genes.
Researchers Move Closer to Completely Optical Artificial Neural NetworkNews
Researchers have shown that it is possible to train artificial neural networks directly on an optical chip. The significant breakthrough demonstrates that an optical circuit can perform a critical function of an electronics-based artificial neural network and could lead to less expensive, faster and more energy efficient ways to perform complex tasks such as speech or image recognition.
Single Gene Change in Gut Bacteria Alters Host MetabolismNews
Scientists have found that deleting a single gene in a particular strain of gut bacteria causes changes in metabolism and reduced weight gain in mice. The research provides an important step towards understanding how the microbiome – the bacteria that live in our body – affects metabolism.READ MORE
International Conference on Neurooncology and Neurosurgery
Sep 17 - Sep 18, 2018