New & Noteworthy
December 4, 2014
A collapsible protein complex makes sure that dividing cells get the right number of chromosomes:
The invention of collapsible tent poles was a boon to backpackers everywhere. These long, rigid poles provide strong support for a tent, but when it’s time to pack up and go, they fold up into a short package. The secret? Flexible regions in between the rigid sections.
Although the inventors of these poles couldn’t have known it, something similar already existed in nature. In a new paper in GENETICS, Tien and colleagues used the awesome power of yeast genetics, along with some cool biochemistry, to look at the shape of the S. cerevisiae Ndc80 complex in vivo. They found that, just like a tent pole, it bends sharply at a flexible region to fold two rigid sections next to each other. And this ability to fold is critical for accurate chromosome segregation.
During cell division, chromosomes must be correctly attached to the mitotic spindle so that the mother and daughter cells each get one, and only one, copy of each. If a yeast cell doesn’t get this process right, it can become sick or even die. And if it happens in an animal cell, it can lead to cancer.
The Ndc80 complex, which is conserved from yeast to humans, is an integral part of this process because it connects the chromosomes to the spindle during mitosis. It consists of four subunits and has an elongated middle and globular parts on each end, sort of like a dumbbell. The Ndc80 protein, one of the subunits, has an unstructured “loop” region in the middle of its elongated section.
Previous work had shown that the loop region of Ndc80 is flexible in vitro, and in vivo experiments had shown that the whole complex can change its conformation. Tien and colleagues wanted to know whether the Ndc80 loop region was important for the shape of the complex during mitosis, and whether flexibility in this region was important for function.
They started with a genetic approach, and isolated mutations in NDC80 that caused heat sensitivity. One particular allele, ndc80-121, was especially interesting. The mutant protein had two amino acid changes, near each other and near the loop region. The Ndc80 complex containing the mutant protein was just as stable, and bound to microtubules just as tightly, as the wild-type complex. So why did the cells die at higher temperatures?
Tien and colleagues visualized mitosis in the mutant cells using fluorescence microscopy. They could see that when they raised the temperature, dividing mutant cells had lots of aberrant attachments between chromosomes and the spindle. Because of these attachments, proceeding through mitosis caused their spindles to break—a lethal event.
However, if they timed the temperature shift to happen later in the cell cycle, the ndc80-121 mutant cells were fine. If chromosomes had already been lined up correctly on the spindle before the temperature was raised, then the rest of mitosis could go on without a problem.
Tien and coworkers wondered whether the mutation might disrupt the binding of some other protein to the complex at high temperatures. To look for interactions, they selected mutations that suppressed the heat-sensitive phenotype of ndc80-121. But they didn’t find any suppressor mutations in other genes. However, they did find an intragenic suppressor mutation within the ndc80-121 gene.
Interestingly, this mutation affected a residue that was on the other side of the loop relative to the original two changes. If the Ndc80 complex is a dumbell, imagine that the dumbell is collapsible like a two-segment tent pole, with the loop region of Ndc80 as the elastic between the sections. If you folded the complex in this way, the amino acids changed in the ndc80-121 mutant protein would be positioned close to the amino acid that the suppressor mutation affected—an intriguing explanation for how these mutations might affect each other.
Of course, genetic interactions don’t prove a direct physical interaction. So the researchers looked to see whether they could detect physical interactions between these regions. They treated the complex with a reagent that would permanently cross-link amino acids that were close to each other. Then they chopped the complex into smaller peptides using a protease, and analyzed the cross-linked peptides using mass spectrometry to locate the linked residues.
Sure enough, they were able to detect multiple cross-links within the complex, and their locations confirmed that the complex folds much like a tent pole. Based on their mutant phenotypes, the researchers think it’s likely that the original ndc80-121mutation destabilizes folding of the complex and that the intragenic suppressor mutation makes folding tighter. Consistent with this idea, the intragenic suppressor mutation alone confers a slow-growth phenotype, as if it makes the complex fold just a little too tightly to support vigorous growth.
These experiments as a whole establish that the Ndc80 complex folds tightly early in mitosis. So, creative inventors and Mother Nature have arrived at similar solutions for the tent pole and for this important complex. And just as collapsible tent poles have become ubiquitous in the backpacking world, so too has the collapsible Ndc80 complex been conserved throughout evolution: even the specific residues that mediate the folding are highly conserved. Since this work has shown that correct folding of the yeast complex is necessary for its role in helping chromosomes to line up accurately on the spindle, the same is almost certainly true in mammalian cells.
by Maria Costanzo, Ph.D., Senior Biocurator, SGD
November 24, 2014
If you want to see what animals really do out in the wild, first you need to hide a camera and a trip-wire so well that the jungle seems totally undisturbed. Then, if you’re lucky, you’ll be able to catch them in the middle of the night as they pass by. Now you can surprise that tiger and find out what he is doing at that specific spot.
In two companion Science articles from the Weissman group at UCSF, Jan et al. and Williams et al. did essentially the same thing to S. cerevisiae ribosomes. They hid a molecular tag and the enzyme that recognizes it at various interesting places within yeast cells, so cleverly that the cells had no idea anything was different. Instead of a flash of light, they used a pulse of the small molecule biotin to find out which mRNAs were being translated at specific locations in the cell.
What they found was that when ribosomes are translating proteins that are targeted to a particular organelle, they hang around the surface of that organelle—way more frequently than was previously thought. And the exquisite specificity of this technique, allowing them to pinpoint one particular mRNA within the cell, uncovered a fascinating case of dual protein localization.
Pinpointing Translation Locations
The researchers needed to develop a technique for catching ribosomes in the act of translation. One part of this had already been worked out in the same group: ribosomal profiling, a method that allows you to map very precisely the positions of ribosomes on mRNAs.
Briefly, cells are lysed and translating ribosomes are treated with nucleases that nibble away mRNAs, except for the 30 nucleotides or so that are protected within the ribosome. Then those protected fragments are analyzed by deep sequencing. This shows, at the single nucleotide level, where ribosomes are sitting on each individual mRNA.
Ribosomal profiling tells us where translating ribosomes are in relation to mRNAs, but not where they are in relation to the rest of the cell. To get this location information, the researchers came up with a clever tagging strategy.
They started with a bacterial gene, E. coli BirA, that encodes a biotin ligase—an enzyme that can attach biotin to specific acceptor peptides. They fused BirA to various yeast genes in order to target biotin ligase to different places in the cell.
Next they tagged ribosomes by putting a biotin acceptor, called the AviTag, on ribosomal proteins such that the tag would be sticking out on the ribosomal outer surface. They tested both the BirA and AviTag fusions to make sure that they didn’t interfere with the functions of any proteins. Just like the camera hidden in the jungle, the tags didn’t perturb yeast cells in the least.
Now the researchers were set to surprise ribosomes with a pulse of biotin. Any ribosomes that were close to BirA would become biotinylated. The tagged ribosomes could then be isolated, and the mRNA sequences being translated in those ribosomes could be identified. The method as a whole is termed proximity-specific ribosomal profiling.
Jan and coworkers set up and validated this method in their paper, and used it to look at translation of secretory proteins at the surface of the endoplasmic reticulum (ER), while Williams and colleagues used the method to look closely at translation at the mitochondrial surface. Import into both of those organelles has previously been studied intensively, but often in vitro and mostly for just a few model protein substrates. In contrast, proximity-specific ribosomal profiling gives us the ability to look at translation of the entire proteome in vivo.
While it was known before that proteins targeted towards a certain organelle tended to be translated near that organelle, these researchers found that it was much more common than previously believed. For example, they found that most mitochondrial inner membrane proteins were translated at the mitochondrial surface and imported cotranslationally, in contrast to the previous view that mitochondrial import is predominantly posttranslational.
Both studies discovered many more details than we can summarize here. But the comparison between the ER and mitochondrial studies led to a special insight about one protein.
Osm1p Goes Both Ways
Osm1p, fumarate reductase, was thought to be a mitochondrial protein (although results from a few high-throughput studies had hinted at a link to the ER). But proximity-specific ribosomal profiling showed very clearly that it was translated at both the ER and mitochondrial surfaces. Williams and coworkers went on to confirm by fluorescence microscopy of an Osm1p-GFP fusion that Osm1p is indeed present in both ER and mitochondria.
Both of these organelles have pretty strict criteria for the signal sequences of proteins they import, so how could it be possible that the same protein goes to both locations? The researchers found that in fact, it’s not! They repeated the ribosomal profiling on the OSM1 mRNA, this time adding the drug lactimidomycin which makes ribosomes pile up at translational start sites. This showed that OSM1 actually has two start codons and produces two different proteins targeted to the two locations.
The OSM1 methionine codon currently annotated as the start would produce a protein with an ER targeting signal. Ribosomes piled up there, but also at another methionine codon 32 codons downstream. Starting translation at this codon would produce a protein with a mitochondrial targeting signal. Williams and colleagues confirmed this idea by showing that mutating the first Met codon made all of the Osm1p go to mitochondria, while mutating the Met codon at position 32 sent all of it to the ER.
The mutant form of Osm1p that couldn’t go to the ER conferred an intriguing phenotype: the inability to grow in the absence of oxygen. Osm1p generates oxidized FAD, which is necessary for oxidative protein folding, and it also interacts genetically with ERO1, which is involved in this process. Taken together, this all suggests that Osm1p activity drives oxidative protein folding in the ER.
The traditional ways of determining where a protein is in the cell, microscopic visualization or physical fractionation, can both be difficult and imprecise. Proximity-specific ribosomal profiling gets around those challenges, and gives a very precise picture of exactly where proteins are being created and how ribosomes are oriented with respect to organelles.
The example of Osm1p localization gives just a hint of the insights that are waiting for scientists who exploit this technique further. And we’re not just talking about yeast: the authors tested and validated the method in mammalian cells. Just like that tiger, surprised ribosomes in many different cell types will be giving up their secrets about where they roam and what they do.
by Maria Costanzo, Ph.D., Senior Biocurator, SGD
November 20, 2014
We heard from many of you about recent performance problems with SGD web pages, and we greatly appreciate your feedback.
The new features and new information recently added to SGD’s Locus Summary pages affected the performance of the web pages, particularly when viewed with the Google Chrome browser. We’ve been working very hard to implement solutions to address these issues. The fix is now in place and the pages now open and respond much more quickly. Please stay in touch with us as we work together to make SGD increasingly informative and useful.
November 13, 2014
How Bad Mutations Can Help Yeast Thrive in New Environments:
If you’ve ever asked for directions from more than one person, you know there are many ways to get to the same place. But not all routes are created equal. You might be trying to get to the post office, but on some routes you’ll pass by the zoo, while on others you might pass the museum or the bus station.
Turns out that something like this may be happening with individuals in a population too. Each may be well adapted for its environment, but each may have arrived there in different ways. And although they may seem similar, they might actually be more different than they look on the surface.
In a new study in PLOS biology, Szamecz and coworkers show that a lot of these different routes to the same place happen in yeast because of bad mutations. They found that when a yeast gets a deleterious mutation, it is sometimes able to mutate its way back to being competitive with wild type again. But the evolved strain is genetically distinct from the original wild type strain. Similar phenotype, distinct genotype.
And this isn’t just an interesting academic exercise either. As any biologist knows, bad mutations are much more common than are good ones. This means that populations may often be evolving to overcome the effects of these bad mutations. This process may help to explain the wide range of diverse genotypes seen in any wild population.
The authors started out by focusing on 187 yeast strains in which a single gene had been deleted. Each strain grew more poorly than wild type under the tested conditions.
They then took 4 replicates of each mutant along with the wild type strain and grew them for 400 or so generations. They looked for strains that had evolved to overcome the growth defect caused by the mutation.
To take into account the fact that every strain would probably evolve a bit to grow better in the environment, they only looked for those that had gained more growth advantage than the wild type had. Around 68% of the strains showed at least one replicate that met this criterion.
So as we might expect, it is possible for a strain that grows poorly to mutate its way closer to a wild type growth rate. The next question was whether these mutant strains had mutated back to something close to wild type or to something new.
The authors decided to answer this question by doing a gene expression analysis of the wild type, the eight mutant strains, and a corresponding evolved line from each of these eight. After doing transcriptome analysis, they found that for the most part the evolved lines did not simply revert back to the original gene expression pattern of the wild type strain. Instead, they generated a novel gene expression pattern to deal with the consequences of having lost the original gene. And in the next set of experiments, the authors showed that this matters when the evolved strains are put in a new environment.
The researchers took 237 evolved lines that grew nearly as well as the original wild type strain and tested how well they each did in 14 different environments. In other words, they tested genetically distinct, phenotypically similar strains in new environments.
They found that even though the original mutant strains grew poorly in all the environments tested, the evolved ones sometimes did better. Fitness improved in 52% of the strains and declined in 8%. What is even more interesting is that a few stumbled upon genotypes that were significantly better than the evolved wild type in a particular environment.
A couple of great examples are the rpl6b or atp11 deletion mutant strains. Strains evolved from either mutant did around 25% better than the evolved wild type strain in high salt, even though both of the original mutants did significantly worse than the wild type strain. By suffering a bad mutation, the evolved strain had been rerouted so that it now grew better than wild type.
So it looks like getting a bad mutation may not be all bad after all. It might just give you that competitive edge you need when things change. Sometimes the best way to get from point A to point B is not a straight line.
by D. Barry Starr, Ph.D., Director of Outreach Activities, Stanford Genetics