Performing Search, as a Transcription Regulator

Billions of years have created some weird tricks in DNA search.

Search is all around us, as we increasingly rely on search engines to find everything we need on the internet, want to watch, or want to buy. Search looks into databases, which hold the sought-after information. All our accounts, all the domain names, all the products... everything is held in databases of one kind or another, and those databases are indexed in clever ways to provide virtually instant pointers from the question we ask to the answer held online. AI merely puts a linguistic gloss on this, and most people are still encountering AI first as a feature of search, such as the top of current Google search results.

Well, our genomes are databases as well- rich and ancient storehouses of jewels that encode the body and its doings. How does search work there, and what is search even for? At any moment, each cell of the body has certain needs, stresses, and goals, as expressed in its DNA programming. The tools available are proteins and RNAs, which carry out the cell's functions. The needs may arise from signals coming from previously expressed receptors, say, for insulin, which may trigger and tell the cell to take up glucose from the blood. The receptor turns on a kinase, which may turn on another kinase, which turns on a transcription regulator, which goes into the nucleus and ... does a search. This regulator is searching for places (specific sequences) in the genomic DNA where it can bind, after which it helps to turn on (or off) the nearby gene, executing the desired function / tool. 

General introduction to transcription regulators (or "factors") and their role in gene activation and the whole process of gene expression.

Obviously a very different kind of search than what Google does on our behalf across documents, but there are similarities. Internet search depends on patterns, matching the user's input with the vast corpus of the internet also held as text symbols. Transcription regulators match patterns, in this case patterns of DNA that they like to bind, which may occur only once in the genome, or occur tens of thousands of times. The pattern here is a complementary physical/electrochemical shape, rather than an abstract same-symbol match. The genome is, to a protein, truly vast. Our three billion-base genome is forty million times larger than an average regulatory protein of, say, fifty kilodaltons (kDa). Search is also, here, a difficult problem, which researchers have been wondering about for decades. Several recent papers discuss different aspects of the problem and shed some modern light on it.

We have roughly 1600 transcription regulators in our genomes, so there is something going on all the time. DNA is always being queried. And what it replies with is RNA- a transcript issued/copied from a gene, which either goes off to instruct creation of a protein, or is itself functional in some way. So, how do proteins bind to DNA, executing their search? It was transformative when the first atomic structures of such proteins were solved. They were clearly complementary with their DNA targets, with nicely positioned positive charges to mate with the backbone of the DNA and amino acid fingers reaching into the helix to feel the shapes of the nucleotides they wanted to bind. All very neat, and paradigmatic for bacteria whose genomes are quite small. But there is more to the story. Binding sites in human genes tend to be quite short- five to seven bases. That really isn't enough to be very specific, across a vast genome. Eukaryotes have developed several weird tricks, as it were, to encourage efficient search over much larger genomes and at the same time increase precision while maintaining evolvability and flexibility.

Eukaryotes have nucleosomes, chromatin, and packaging. The DNA is not just splayed out randomly, but wound up on protein spools. One would think that this would impair search by regulators. But paradoxically, there is a fine balance between hunting around on a given piece of DNA for a preferred site (one-dimensional search, 1D), and jumping off, letting go, and trying somewhere else (by diffusion; three-dimensional search, 3D). The compaction of genomic DNA into nucleosomes that wind up most of the DNA while leaving linking DNA in between free appears to provide a nice balance of landing spots that allow searching regulators to jump very long distances (in linear DNA terms) while not going very far in absolute terms. Regulators vary in how aggressively they can plow through nucleosomes to try out their internal DNA sites, but many (called pioneer factors) can do so.

Secondly, transcription regulators cooperate with other proteins to create longer, more complex DNA sites for precise gene identification and higher binding affinity. As biologists have characterized the enhancers and promoters of important developmental genes, they have found that DNA binding sites occur in bunches, and have much weaker effects when broken down and separated. Sometimes there is direct side-to-side cooperation between two regulators that bind the DNA. At other times, they combine with other non-DNA-binding proteins to create complexes at such sites. The DNA recognition sequences of these combinatorial sites can be changed significantly, even beyond (our) recognition, by the addition of cooperative proteins. This is something that makes prediction of where a given regulator binds particularly perilous. 

Thirdly, many regulators contain not only DNA binding domains, but also extra disordered domains that facilitate DNA search and binding. This has been a recent realization that accounts for some of the speed and flexibility of regulator search and DNA interaction in eukaryotes. The stable crystal structures of paradigmatic bacterial regulators are not the whole story, and indeed are insufficient to explain what is happening in the much larger setting of our own cells. The authors note that eighty percent of human gene regulators have large disordered domains, (called IDRs, for intrinsically disordered region), upwards of 500 amino acids long. These never showed up in crystal structures, naturally. Being disordered, they are also poorly conserved. So, they have been difficult to study. 

Comparison of binding by one regulator, MSN2, which has a large IDR, to its genomic sites. At top is its native binding pattern, across a whole genome. At bottom are mapped its core motif occurrences on that DNA. Second from top is the MSN2 protein mutated to contain only its core motif-binding domain, and third from top is the MSN2 protein mutated to remove that domain and retain everything else. Note how different the patterns of binding by each of these proteins are, though how each approximates to some degree the wild-type pattern.

In related work, researchers have divided up such proteins into the core binding site part and the IDR part. They find that both parts work partially, directing binding to some of the native sites around the genome. In fact, the IDR part does a more statistically accurate job than the core DNA binding motif. This is fascinating, showing that in eukaryotes, a new search mechanism arose, supplementing discrete and precise binding with a floppy / fuzzy code in the IDR and its binding sites. It turns out that regions of hundreds of bases around core target sites (which in one case amount to only the motif AGGGG) are preferentially bound by the respective IDR protein domain, with multiple weak interactions that remain structurally uncharacterized. In fact, neither the protein structures responsible, nor the DNA sites they bind are known yet, though deletion studies through IDR domains show that binding is distributed throughout.

Relationship between IDR binding site size, and the ratio of 1D vs 3D search time, by simulation. The bottom axis is size of the IDR binding region, the Y axis is time taken for search. Time spent in total (yellow) goes down to minimum at an optimum between 1D search that is slowed by longer IDR-binding regions, while 3D search is strongly accelerated by longer IDR-binding regions.

The combination of core binding and loosely unstructured binding in one regulatory / search protein provides powerful benefits. In dimensionality terms, if the effective landing site is expanded from five to five hundred bases, then the time required for 3D search through the space of the nucleus is dramatically shortened. Secondly, loose binding by the IDR then promotes an "octopus"-like 1D search along the local DNA, resulting in efficient settling on the core binding site to get ultimately precise positioning. The ultimate affinity of the regulator with the local DNA is also enhanced compared to what it could manage over a five base pair site. The researchers conclude that with these domains, the search problem is, in net terms, reduced by one dimension, from 3D to 2D. The surrounding areas of DNA that have marginal affinity for the IDR domain are called "antenna" regions, and the author's simulations show how they alter search behavior.

Schematic explanation of the current work, describing how IDR domains help to speed up the transition from 3D search through space, to 1D search across the DNA. And then also to facilitate 1D search by preventing full detachment from the DNA while the core binding motif continues to search by diffusion for its binding site (yellow).

For computers and databases, search is a huge problem that has led to technical innovation, as well as large drains on resources. Every search engine combs the internet, gobbling up all available information, creating indexes, and updating them constantly in order to give us the instant access we want. This infrastructure has been raised to a new level by AI, which transforms search into a new form, combining it with language translation and prediction methods that allow a search for corkscrew to bring back results for wine. Whether it understands anything is unlikely, but the desire to upgrade search from a simply determinative process to one that is more fuzzy and richly interpretive, and thus more useful, is not a new phenomenon.

• Rights? What rights?
• Goodbye to independent agencies.
• What are those crows saying?
• We have our sociopath, they have theirs.

From Icebox to Hothouse, and Back Again

Better modeling, by including the biosphere, retrodicts more of Earth's dynamic climate history.

Climate change, while ignored by the current administration, is not ignoring us. The Earth is warming well past where it has been for millions of years. But before that? While the planet has generally had stable climates, they have varied substantially through time, and have gone through occasional catastrophes. There was a little ice age, in the middle of the last millennium, thought to have been caused in part by the depopulation of the Americas due to European diseases. The ensuing regrowth of forests covering the Americas drew down CO2 from the atmosphere and cooled the climate. But more to the point, there have been far more severe episodes, both of heat (the end-Permian extinction event) and cold (the Sturtian glaciation of the Precambrian). All of these arise from CO2 levels, as CO2 is the master controller of heat in the atmosphere, thanks to the greenhouse effect. (As it is on Venus as well.) 

For example, the end-Permian extinction is thought to have been caused by unusual volcanism in what is now Siberia. Over a mere 100,000 years, this poured an estimated 26,000 petagrams of CO2 into the atmosphere, causing its concentration to shoot up to about 2500 ppm (parts per million) and temperatures to shoot up as well, killing off 90% of all species. What we are doing now is much faster, though admittedly in early days. We are pouring roughly 11 petagrams of CO2 into the atmosphere yearly, which has raised CO2 concentrations from a preindustrial 280 ppm to 427 ppm today. It would take us another one to two thousand years to cause a 90% extinction event!

A bedrock of our climate thermostat is the silicate cycle. Since the vast majority of carbon on earth is locked up in rocks, (carbonates of silicon, magnesium, and calcium), not in the biosphere, it is rocks that have a dominant effect. Volcanoes belch out CO2 in huge amounts. That CO2 slowly eats away at rocks that are exposed, re-forming carbonate compounds that are weathered off and back into the ocean. Where these compounds (with those built by shelled animals of all kinds) are gradually deposited on the sea floor and subducted back into the Earth's crust. Some of those carbonates are reduced at depth and brought forth again by volcanic activity. The more CO2 there is in the atmosphere, and the warmer it is, the more weathering happens and thus the faster CO2 levels are brought back down. That is the elegant thermostat that has kept Earth at mostly mild temperatures through its long history. 

However, this is a slow thermostat, taking hundreds of thousands of years to equilibrate. Unusual events, like an asteroid impact, prodigious volcanism, or the advent of human ingenuity, can make a mess of things way faster than the silicate cycle can deal with in its slow, grinding way. Many subtler influences can also come into play, like cycles in the tilt of the Earth towards the Sun, or continental arrangements that lead to particular patterns of ocean circulation, can create variations such as ice ages. A recent paper brought out peculiar influences from the biosphere that can also affect, and even destabilize, the thermostat on longer time horizons

The oceans are responsible for roughly half of photosynthetic productivity, and they are also where the carbonate minerals get buried. So how they react to changes in the atmosphere are very influential in the whole cycle. These authors ran half-million-year simulations of climate perturbations while including not only the silicate cycle, but also reactions by the biosphere and especially the phosphorous cycle, which has a strong influence on biological productivity. It turns out that when the atmosphere has lower levels of oxygen than we do today, (as was the case during the Precambrian epoch), high CO2 levels cause long-term rises in biosphere productivity and also in phosphate recycling out of the ocean floor. The extra phosphate increases biological productivity even more, and thus causes CO2 drawdown to persist past where the silicate cycle would level out for the long term. The result can be a rebounding ice age after a hot phase. 

Model results over 500,000 years, showing rebound from an injection of high CO2 at year 10,000. A shows concentrations of CO2 over time, B shows O2 concentration, and C shows sea ice, which goes to zero at first, the rebounds sharply, especially under the blue condition of 0.6 times current oxygen concentration in the atmosphere. It shows how exquisitely sensitive the climate is to CO2.

These models make some sense of the Precambrian climate cycles, which had a few dramatic swings that went through so-called snowball Earth phases where the entire surface of the planet seems to have iced over. The silicate cycle naturally came to the rescue eventually, spewing enough CO2 from volcanoes to overcome the snow / albedo effects of all the ice and cause a rebound hot phase. Between the rising oxygen levels and the extreme climatic swings, the stage was somehow set for the rise of animal life, leading the so-called Cambrian explosion, though there was a fair amount of simpler precursor animal live in the Precambrian.dd

https://www.science.org/doi/10.1126/science.adh7730

A schematic of the proposed cycle, with CO2 coming in from vulcanism (red) and being disposed of by various means, first and foremost the silicate cycle (blue). OC = organic carbon, P = phosphorous/phosphate, OCpetro = organic carbon weathered out of sediments, coal, limestone, and other geologic formations. Thus, the brown color shows this paper's additions to the classical silicate cycle.

While it is just a modeling paper, models are what we think and do in science. It is nice to have laboratory confirmation for areas of science (like molecular biology) that permit it, but historical sciences, especially those pertaining to whole planets as systems, have to be more forensic and speculative. This new model is a refinement on the basic silicate cycle, and thus seems a strong improvement on what has heretofore been a science of more or less back-of-the-envelope estimation. And judging from this new model, the authors propose that the next ice age is not being put off indefinitely by our profligate emissions, but rather that organic burial feedbacks will bring it closer (than 400k years away) with additional overcooling thereafter!

• Medicine is toast. "MIRA outperformed physicians in diagnostic accuracy and made guideline-concordant, medication-safe and appropriate admission decisions."
• A death sentence for US science.
• Revaluing trash.
• Apparently, fungi in the ocean are a thing.

Strides in Cancer Treatment

A new paper shows that CART therapies can be unleashed against solid tumors.

We are finally in the payoff period in the decades-long war on cancer. Slowly, painfully, precision approaches are being developed to treat specific molecular lesions in ways that are superior to the old blunderbuss kill-everything approaches. At first, these treatments had only marginal effects, at astounding costs. But increasingly, the effects are lengthening and cures are in sight in some forms of cancer. One unexpected area of revolutionary progress has been immunotherapies, which in various ways help our immune systems attack cancers. It turns out that many cancers have tricks to hide from the immune system, and once those tricky dampening molecules are circumvented, dramatic reductions are possible. One paper recently described an anticancer vaccine made up of a witch's brew of targeting molecules, cancer antigens, and adjuvants, that achieves strong anti-melanoma action.

Another one of these immunotherapies is CART, or chimeric antigen receptor T-cell therapy. T cells have a receptor repertoire, just as B-cells do, which target things to be attacked- foreign pathogens, diseased states, etc. at molecules called antigens. One problem in cancer is that the cells are, originally at least, our own, so they mostly evade immune detection by having few "foreign" antigens. But there are nevertheless some antigens, comprised of normal molecules that are out of place (such as DNA found outside the cell) and "neoantigens" that are proteins expressed from the mutations in cancer cells. Additionally, as mentioned above, cancer cells express additional molecules (PD-L1) that can dampen even the immune response that does get generated by these few cancer antigens. So, the chimeric part of CART is taking the patient's own T-cells and engineering some of them to express new anti-antigen receptors that are relevant to the patient's cancer. Perhaps there is a mutant fusion protein that the cancer depends on. Perhaps the cancer displays an unusual surface molecule. Perhaps the tables need to be turned and PD-L1 targeted. There are many possible targets. 

CART therapies have, to date, been mostly directed at blood tumors. Solid tumors have extra protection in their micro-environments, and have not been good targets, though they necessarily have blood supplies and thus exposure to systemic T-cells. A recent paper blows open this field by revealing a magic molecule that plays a very significant role in the structure of solid tumors- the urokinase receptor. The urokinase plasminogen activator receptor (uPAR) is heavily expressed on senescent cells and many solid tumors, but rarely expressed elsewhere. Indeed, its expression correlates with tumor aggressiveness. Plasminogen is a protease that is sort of a cleanup crew for the circulatory system and body generally. It breaks up blood clots, and digests follicle tissues allowing ovulation. It encourages wound healing and discourages fibrosis- the buildup of scar tissue. However, in the cancer setting, the same activity seems to encourage fibrosis in a sort of constant wound healing state. Reviews in this field are rather confused about the direction of action. But one thing is clear- uPAR has myriad signaling activities relevant to tissue repair and immune activation that are not all dependent on the uPA (plasminogen activator) and plasmin activation system. Indeed, it is expressed not just in cancers, but in many other fibrotic settings.

A wide array of proteins are assessed here for their expression in a cancer tissue sample. uPAR is in red at the upper left. The matrix on the right shows the correlation of expression in a wide variety of cell types and tissues, like cancer-associated fibroblasts (CAFs), monocytes/macrophages (Mo/Mac), and with the protein fibroblast activation protein alpha (FAP).

The authors sought to target CART cells against uPAR, principally as a targeting device, since this marks many solid tumors and correlates with metastasis and rapid cancer progression, in addition to inflammation and fibrosis. While only tested in mice, the results were remarkable. 

"CAR T cells targeting the D2-D3 domain of uPAR display broad antitumor activity in xenograft, syngeneic, and patient-derived models, including in adjuvant and combination settings, supporting the concept that targeting conserved malignant cell states can enable therapeutic strategies that transcend tumor type. ... our prior work shows that uPAR CAR T cells targeting senescent cells remodel fibrotic tissues, and, as shown herein, this remodeling is associated with CAR T cell infiltration and cytotoxic activity. Similarly, parallel work demonstrates that uPAR CAR T cells exhibit potent efficacy in glioblastoma models and can co-target supportive stromal cells."

This is to say that these CART cells target not only tumor cells, but the surrounding solid tissues (stromal cells) that they rely on. That is the key to defeating solid tumors. It also indicates that other autoimmune and fibrotic conditions may be addressable with this therapy as well. 

Treatment effects from the CART therapy in mice, against several tumors. The red graphs are controls, and the blue graphs are treatments. Top is the tumor volume over time, while at bottom is survival of the mice over time.  Lung adenocarcinoma (LUAD), lung squamous cell carcinoma (LUSC), high-grade serous ovarian carcinoma (HGSOC), and pancreatic ductal adenocarcinoma (PDAC).

The results of treatment of xenografted human ovarian tumors into susceptible mice, at 3 weeks, bottom. On the left is the control, while the other two sets were treated with CART cells against uPAR.

The authors note that relapses were seen occasionally, but that in these cases, the uPAR target was still highly expressed. That suggests firstly that it is difficult for tumors of these targeted types to do without uPAR, and secondly that something else went wrong with the tailored CART therapy, other than that its target went away. Perhaps future work can enhance its penetration or activity. The researchers also strained to make their model systems as human-relevant as possible, using cancer tissue transplanted (xenografted) from human cell lines, human CART cells, and mice with transplanted immune systems from humans. This work is thus not only a scientific breakthrough of the highest order, but is a technical tour de force as well. It also ends up with a variety of patent declarations and commercial ties, indicating that this breakthrough is being fully milked by its inventors and commercialized at breakneck speed.

One major problem with this mode of therapy is that CART cells require a great deal of engineering. First, antibodies against uPAR were developed in mice or other species. Then the genes from those immune systems were recovered from those mice, to get the precisely recombined gene that expressed the antibody with highest binding activity against uPAR. Then that gene, hooked up to new transmembrane and intracellular domains, (specially selected to activate the T cell they will be put into), was introduced into a transformation vector and put into the T cells collected from the diseased mice. In humans, this treatment routinely runs a half a million dollars. It is incredibly ornate, and one expects that gene therapy will someday allow the patient's T cells to be directly modified in the body, without all the collection and laboratory work, (which takes months), given a high-quality gene encoding the antibody fragment that is generally applicable- not tailored to a specific patient.

• The example of Spain.
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• AI is not what it is cracked up to be. And way more expensive than it has to be.
• Japan is surprisingly willing to keep importing fossil fuels, despite exchange rate degradation.
• Renewables and batteries have stabilized California's grid and made electricity cheaper.
• Map of where electricity has gotten more expensive in the last year.
• How other animals deal with inequality.
• What economic warfare looks like.
• Can we survive the internet?
• Electric cars are good for everyone.

The History and Future of a Single Mutation

The CCR5delta32 confers resistance to HIV. Where did it come from?

We are edging into an age of precision medicine, where the causes of our maladies will be known in molecular detail, allowing treatments that address them at the root. Given the parlous state of medicine today, in the midst of financial breakdown and a continued mediocre level of basic diagnosis, it is hard to believe this is a corner we can turn. But vaccines have long been in this category, of addressing the precise pathogenic causes of disease, and oncology is fitfully getting there, given advances in DNA sequencing and in treatments based on specific mutations.

HIV is also a beneficiary of this approach, since the discovery of its pathogen led directly to a variety of effective (if not yet permanent) treatments. A researcher in China created gene-edited humans with a specific mutation that will render them resistant to HIV. The mutation he chose for this work is called CCR5delta32, and it does not naturally exist in Chinese populations. 

But it does exist in European populations, at a roughly 10% rate in single copy. When present in two copies, it provides complete immunity to HIV, while if present in one copy, it slows infection substantially. A recent paper rooted through the available ancient and present genomes to figure out where this mutation came from. 

CCR5 is a cell surface receptor for cytokines 3, 4, and 5. These are all pro-inflammatory cytokines, and they interact with multiple receptors. Here, as in so many other respects, the immune system is riven with redundancy, so that it can grapple with as many contingencies as possible. Cytokines are signaling molecules for the immune system, which is an unusual organ, being dispersed all over the body with numerous cell types all patrolling around, and communicating with each other by long- and short-range chemical messages. It turns out that the major form of HIV uses the CCR5 protein to get into our immune cells, explaining why CCR5delta32, which is totally non-functional, has such a dramatic effect on HIV susceptibility. 

While people carrying CCR5delta32 are generally fine, this defect does confer a variety of subtle changes to their susceptibility to other infectious diseases and cancers. That explains why this mutation has settled at its low level in the European populations, probably balancing the occasional benefit against a specifically CCR5-seeking pathogen against its natural functions that form the basis of its existence in the first place as a part of immune system that is conserved in all mammals. The Chinese gene-editing researcher came under withering criticism not only for breaching the generally agreed moratorium on human germline gene editing, but also because the net effect of this mutation is, on the whole, negative, raising risks of numerous diseases, despite its beneficial effect on HIV. 

The authors run several models and populations in an attempt to time the origin of the CCR5delta32 mutation, and portray its positive selection over the ensuing millenia.  CHG- Caucasus hunter-gatherer; EHG- Eastern hunter-gatherer; WHG- Western hunter-gatherer; ANA- Anatolian Neolithic ancestry. The bottom axis is time, and the Y axis is the frequency of the mutation in these populations. "Modern DAF" refers to the inclusion of the data set of current (not ancient) population frequencies, (top), which the authors claim leads to continued rates of selection (last 2,000 years) that are artifactual.

So where did it come from? The new authors gather up a large variety of population samples from around the world, and from ancient humans, back to about ten thousand years ago. They find the first instance of the mutation in one sample at 5.8 thousand years ago. After that, its frequency rises dramatically, up to about two thousand years ago, when it levels off. They conclude that this mutation originated about seven to nine thousand years ago, in the steppes of Eastern Europe / Western Asia, and was under strong positive selection at first, spreading to the current frequency of about 10% of the population / alleles. All occurrences on other continents can be accounted by the spread from this source.

Does this mean that HIV was prevalent long, long before the current pandemic? Hardly. The authors can not say anything about it, but one theory would be that some other disease had a similar profile. It certainly was not the Black Death, as the authors show that this mutation had no change in frequency over that gruesome pandemic. Another hypothesis is that general reduction in inflammatory response might be beneficial in some settings, as has been found for Covid-19, though here again, this mutation does not have any known positive or negative net effect on Covid-19 susceptibility or course. 

It is amazing that we have enough sequences of ancient DNA to be able to reconstruct this kind of thing- to be able to trace where and when some influential mutation occurred, and how it traveled and spread. It is a tour-de-force of bio-archeological reconstruction.

• When you escape reality, and morality.
• Some environmental benefits are flowing from the current war.
• We may be at peak oil, courtesy of the US.

The Death of Boredom and the Future of Politics

Can politics work without a civic sphere?

How can we have a loneliness epidemic when we are connected like never before? It is a problem that perplexed Robert Putnam in "Bowling Alone". He put it mostly down to TV, internet, and the growth of passive and isolated forms of entertainment generally. When you read between the lines of history of any time before about one hundred years ago, you realize that people were, before the modern age, bored out of their minds. Who plays cards? Who puts on operas, or runs numbers, or goes bowling? Who needs an Easter pageant, or a three-to-four-hour baseball game? Only people with nothing better to do. If you wanted music, you had to make it. If you wanted conversation, you had to share it. Human society was built on simple quid pro quos- social rewards and resolution of boredom and isolation for personal participation.

But that deal has broken down dramatically in the modern age. We have a thousand channels, talk radio, recorded music. With AI, we are getting personal chatbots and bespoke romantasy partners. Sports have slid tectonically from participation to spectation. Boredom is a thing of the past, though if you do want to play cards, plenty of computers are willing to take a hand.

An interesting article in the New Republic knit this together very nicely with the problems we are having in politics. In the US, political engagement is increasingly shallow, leaving the field to extremists who can still call up foot soldiers to storm the ramparts. What happened to the Occupy movement? For all its inherent logic and flash organization, it fizzled into nothing because it gave little thought to its own institutionalization (indeed, was allergic to organization) and durable engagement, all the while railing against the overwhelming organization and deep pockets of the entrenched systems of capitalism. The Left is notoriously inable to herd itself into an effective, organized force. While capitalism is naturally organized and institutionalized by virtue of naked self-interest and corporate structures, civic groups grow out of far more disparate, and evanescent, motivations. Unions have been an attempt to organize around a countervailing, while still self-interested logic, which inherently limits their reach and coherence. The true civic sphere, however, is threadbare.

Political parties have similarly shallow roots. In California, the governor's race has 61 candidates, and little control by the party establishment, particularly by the Democratic establishment that supposedly runs the state. Like other non-profits, parties ask little of their adherents, other than possibly a monetary contribution, and wouldn't dream of holding truly social events that could deepen civic engagement. Expectations of civic engagement have hit rock bottom, mostly because people have tuned out across the civic spectrum. The testimonial dinner is a relic. The ice cream social is unheard of. Service organizations like Rotary and Elks are fossils, unions are on life support. Events and organizations that previously kept people entertained and involved in a civic way are scarce. These traditions both trained people for common action, and led to the kind of networking and contact that fed political consciousness and activity. They also helped to vet people directly for office holding (see the recent Swalwell case). 

Bernie Sanders can draw a crowd, but do those crowds go out, organize, and persist?

Republicans have found a partial solution to these problems by ginning up endless outrage through their propaganda outlets, predominantly talk radio and hate TV. While motivating, the results have, naturally, been intellectually disastrous and have us teetering on the edge of fascism. Democrats, as the more level-headed and progressive temperament, have not used the same tools effectively, and shouldn't. What should they do? Well, the field for civic engagement is pretty wide open. For example, one could imagine a tax on political advertisements, say 10%, which is collected by the government / FEC, and sent to counties or municipalities for civic engagement purposes, either election-related or not. This would create a fund for local talks, events, civic education, and the like that would, in theory, complement the advertising that is increasingly vacuous and meretricious. 

Another approach is direct action, where Democrats could use some of their energy and resources to build civic engagement, outside of straight campaigns. Just as the Republicans have harnessed ancillary issues like abortion and tax cuts that energized specific segments of their base, Democrats have to be a bit more canny about asking for more engagement and offering more involvement. Climate change is a great example, where a wide spectrum of individual action (trash pickups, solar panel installation, water quality testing) could be integrated into civic engagement that builds party alignment and ultimately, institutional strength. All great religions know that the more you ask, the more you get, and the deeper the commitment of followers. Additionally, the left already has a bewildering array of non-profits, whose efforts would ideally be more closely integrated with the Democratic umbrella to generate more organizational power- synergy or leverage, in business-speak.

On the other hand, how could civic disengagement be accommodated rather than fought? One approach might be to enhance the vetting and exposure of candidates by having nominating conventions at the local level. Even though California has an open primary, and thus does not grant each party automatic spots on each ticket, the parties should not shy away from selecting, testing, and promoting candidates. This should not be a central commitee operation hidden in the dark, the province of interested apparatchiks, but open forums that promote philosophies as well as people.

We are in a tough position, trying to keep politics alive in a world where its underpinnings- of civic engagement, communal organization and leadership, and simple conviviality- are fading in a deluge of individualized enjoyments. Political parties are at the forefront of this change, and need to think very deeply about how to keep themselves relevant and effective.

• Tax reform
• Is power based on insults?
• Everybody has deterrence these days.
• Who is being served here?
• Patient, heal thyself.
• Norway is going electric.

Pumping Calcium

An ornate ion pump manages rapid outflow of calcium.

In the beginning, the egg cell experienced a wave of calcium release, triggered by union with a sperm cell. This blocked other sperm from entering, and prepared the egg to become a zygote and embark on embryogenesis. It is but one example of the pervasive role of calcium signaling among animals. Another is the muscle activation cycle, which relies on calcium release from the specialized sarcoplasmic reticulum (in response to a nerve activation) to get the cell as a whole contracting. Generally, calcium is kept very low in the cytoplasm, and high in the endoplasmic reticulum and outside the cell. Thus, channels gated by electrical activation or other signals can cause rapid cytoplasmic calcium spikes and signal widely within a cell. 

On the flip side, there have to be pumps that keep the cytoplasmic concentration low, and a recent paper elucidates the structure of one such pump that is remarkably fast, while also closely regulated. It is an impressive machine. PMCA2 is an ATP-using calcium pump that sits in the plasma membrane and carries out what is called the Post-Albers cycle. This is a flip-switch mechanism for pumping ions, where ATP drives conformational switches alternately exposing ion binding sites to each side of the membrane. When the pore is open to the cytoplasm, there is no competition from higher concentrations outside, so the active site can bind one internal calcium, given a high-affinity site. Then, after the conformational switch, the pore is exposed to the outside, and at the same time the site is reconfigured to be lower-affinity, releasing the calcium ion into a high concentration environment. Neurons especially use calcium signaling extensively to operate synapses and regulate growth and development. Their rapid and frequent signaling requires a pump that has especially high capacity. PMCA2 operates at a maximal rate of several thousands of Ca2+ ions pumped per second.

Cartoon of the Post-Albers cycle, which is shared by a large family of active ATP-using pumps that transfer ions against their chemical concentration gradient. M is the main transmembrane domain of the pump, where the ions traverse the membrane. The N, P, and A domains are regulatory, especially binding and cleaving ATP  at an interface between the N, P, and A domain. The cycle links power steps (1,2) with conformational changes that carefully gate the pumping process.

And that is not all. Since calcium has a charge of 2+ and this pump does not intend to alter charge across the membrane, the pump simultaneously has binding sites for counter-ions (generally two OH-) that are transferred in the opposite direction from the calcium. Not only that, but every pump of this kind requires regulation of various kinds. PMAC2 is activated by phosphatidyl inositol 4,5 bisphosphate (PIP2), which is another important signaling molecule generated by specific PI kinases in response to activation of G-protein coupled receptors or protein kinase C, which may respond to external signals. In very general terms, these tend to be pro-growth or stress-induced pathways. These regulatory processes can tune the overall rate of recovery from rapid Ca2+ signaling events, by adjusting the level and activity of pumps like PMAC2. 

ATP binds at the N/P/A domain interface, and its hydrolysis (and loss of ADP) generates extensive shape changes, including into the transmembrane M domain. At the very bottom, the calcium ion is shown in green, bound inside the M domain pumping channel. The motions here are subtle, but enough to dramatically reshape the calcium channel.

The authors, using various substrate variants and other tricks, were able to develop structures of PMAC2 in several steps of the pumping cycle, using cryo-electron microscopy. The ATPase site in the N domain (red) is far from the channel that conducts the calcium ion (brown, far bottom). They show extensive shape changes from binding or losing the ATP molecule, though they mostly concern the intracellular domains (red, blue, yellow). The effects on the transmembrane pore domain are rather subtle, shown on right. The authors claim that, compared to other pumps of this large family, the structural changes are significantly less, suggesting that evolution for speed has caused the mechanism to become more efficient, with less wasted motion per conduction event, at least in the channel region itself.

Relation of the PIP2 binding domain (orange/red stick figures) to the calcium core binding site. PIP2 appears to be essential for rapid pump operation. At bottom is shown some schematics of the gating provided by PIP2 in bound and unbound states, especially via the D873 side chain (negatively charged aspartic acid).

They also find that the activating molecule PIP2 is neatly parked right next to the main calcium binding and conduction region, and is more or less essential for enzyme activity. In the graph above (e), they show that several single mutations made in the calcium binding high affinity site, for example switching the negatively charged D873 for the positively charged K (lysine), kills ion pumping activity. Mutation of the PIP2 binding pocket (KKQ->TLL, around position 347) likewise kills enzyme activity.

Relation of the counter-ion channel (red dots) with the calcium channel. Both are essential parts of the mechanism. Closeups with the coordinating protein side chains shown on the right.

The whole mechanism is alluded to in the last figure, where the central calcium binding site is shown, with the general direction of calcium pumping. The counter-ion transport area is shown nearby as a flurry of red dots (standing for water molecules, which at this scale are interchangeable with OH ions). Specific single mutations in either area, either changing negatively charged E412 to positively charged lysine at the calcium binding pocket, or changing polar S877 in the water/hydroxy binding area to the bulky and hydrophobic F (phenylalanine), each kill pumping activity (graph). 

While it would be ideal to have a more dynamic representation of what is going on, the new structures give tremendous detail, including the associated ATP, PIP2, calcium, and water molecules. The mutations also nail down several functional points. Obviously a rather intricate and well-oiled machine that keeps its bit of cellular calcium homeostasis on an even keel. It is hard to believe that the sum of thousands of machines like this one is life, but the deeper we look the more true that appears to be.

• Gullibility-maxxing.
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Not Every Transcript is Golden

 Reflections on junk DNA, and junk transcripts.

Some time ago, a large project in molecular biology determined that most regions of the genome are transcribed. The authors and most observers took this to mean that most regions are functional, quite in contrast to the reigning theory up to that point, that our genomes host a smattering of genes floating in a sea of "junk" DNA. That theory was based on the now-ancient observations of reannealing curves for bulk DNA from humans and other species which found that most of our DNA re-anneals very quickly, due to the fact that it is repetitive. Most of our genomes (60%) are taken up with LINE repeats, SINE repeats, old retro-transposons, stray duplications, and other repetitive material that, at a first glance, seems like junk. There has been a battle ever since, between proponents of junk DNA and those who see function around every corner. As we learn more about the genome, many more functions have indeed come to light, like distant enhancers and regulatory RNAs of many flavors. But overall, there still seems to be a lot of junk. 

A recent paper took an oblique shot at this field, looking at the profusion of alternative gene transcripts, which can number into the hundreds for a single gene. (This was also reviewed.) These are generally called isoforms, and arise due to variable ways one gene's RNA products can be initiated, terminated, and spliced. So not only are most regions of the genome transcribed in some form, actively transcribed regions can be transcribed and processed in myriad ways to lead to different RNA products. Here again, there has been an analogous argument, about whether every such isoform has a function, or whether isoforms might arise from more or less sporadic processes, often as unintended and non-functional sparks coming out of the machinery. The importance of isoforms is very well documented in many cases, so the possibility of function, sometimes highly conserved, is not in question. Only the importance of every last variation in combinatorial collections of isoforms that can number into the hundreds.

Here is an image from the first page (of about six pages) of RNA transcripts coming off the notorious BRCA1 gene, which is intensely studied for its role in breast cancer. Each line is a distinct mRNA transcript. Each darker bar is an exon, which are separated by introns. The darker colored exons are in the protein coding region, while the lighter exons signify the untranslated upstream and downstream ends. I count about 315 transcripts described for this genetic locus. The idea that each of these has some evolutionarily constrained and important function is, on the face of it, absurd.

The authors took an interesting evolutionary approach, reasoning that species with larger population sizes experience more stringent purifying selection, and thus should (in theory) show tighter control over stray genomic products such as isoforms, if most transcript isoforms are neutral (or even deleterious) accidents, rather than intentional and functional forms. Thankfully, animals come in a wide range of population sizes, from insects to crocodiles and primates; very large to very small. While population size is hard to calculate, several convenient proxies are known, like lifespan, body size, etc. When they totted everything up, they saw clear correlations between these proxies and the number of alternative RNA products per gene- also termed transcript diversity. They sliced up the data by organ where the RNA was expressed, and by the source of the RNA variation- either different initiation, different termination, different splicing. In all cases the trend was the same. In species with larger population sizes, the diversity of transcripts was lower, agreeing with their hypothesis that when greater selecive force is available, the slop from the transcription and transcript processing machinery declines.

The authors draw correlations between alternative splicing (AI) diversity in an organism's cells and its population size. 

The authors additionally note that there is a similar relationship between alternative splice site usage and expression level of a gene. That is, the higher the gene expression, the less likely that minor splice sites are used, indicating that here again, higher selective pressure helps to clear out non-functional off-products of the transcription apparatus.

The correlations found here are only that- correlations. While significant, they are not terribly strong, let alone stark. So it is evident that our gene expression machinery has a lot of play in it, and this falls on a spectrum from deleterious to critically functional. It is, after all, machinery, not divine. It is also grist for evolution itself- it is useful to have some slop so that there is always some diversity in the gearing to accommodate new selective pressures. But the idea that just because a distinct transcript exists, it is biologically functional, or that, similarly, because a genomic region is transcribed, it is a "gene" rather than junk DNA.. that does not hold water. Every nucleotide in the genome has its own unique selective constraints, and for many of them, that constraint is zero.

• The world order, and our position in it, is crumbling.
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• Another AI tax, as if gobbling up power wasn't bad enough.
• Mindless.

Death and Resurrection ... Of a Gene

The SLAMF9 gene became non-functional in the human lineage, and then later was re-activated. Why?

Biology is amazingly intricate, but it is often also needlessly complex- evidence for the haphazard, if eventually pointed, mechanisms of the evolutionary process. We will take up the discussion of "junk" DNA again next week, but molecular biology is full of redundant and excessive processes, which should certainly be mystifying from a "design" perspective. At the frontier of natural selection are neutral and near-neutral genetic elements, which change over time due to chance, lacking selection pressure towards conservation. Pseudogenes (of which we have about 20,000- almost as many as functional genes) are one form of neutral element. They are typically remnants of functional genes that have been duplicated and inactivated by mutation. They are a lively area of genome annotation because it is hard to be sure that they are really dead. Despite what looks like an inactivating mutation, they typically still produce RNA transcripts, and may produce partial or alternative proteins as well. The literature is full of experiments finding products and activities from genes annotated elsewhere as pseudogenes. And what looks like a pseudogene from one sample might just be an allele, the same gene being whole and active in other people.

So, it is hard to know what any particular genetic region is doing without a lot of evolutionary, functional, and even population analysis. A recent paper looked deeply at one gene- a gene that seems to have flipped back and forth between functional and non-functional states in the human lineage. It is a rare example of a gene coming back from what is usually a one-way trip into mutational oblivion, once its function- and thus selective pressure for conservation- have disappeared.

SLAMF9 is one of a family (signaling lymphocyte activation molecule family) of surface receptors that occur in many cells of the immune system, help activate responses in these cells, and also recognize some viruses and bacteria. They bind to each other and to other components of the immune system, creating complex signaling networks. Genes involved in our immune systems are commonly subject to rapid evolution, the arms race against our many pathogens being relentless. Sometimes that takes the form of gene inactivation, if a particular receptor, for instance, has been turned against us by a pathogen that uses it for binding and cell entry. 

This week's authors were facing a conundrum. They were studying SLAMF9, and found the mouse version easy to clone and express in the lab. But the human version ... that was another story, frustratingly impossible to express in usable amounts. When they looked at the protein sequence, they were in for a big surprise:

At the front end of SLAMF9, there is very strong conservation across mammals... except when it comes to humans! The signal peptide is what directs this protein to be inserted into the plasma membrane, and is cleaved off the mature protein. In red is highlighted the region starkly different in humans, which naturally affects (not in a good way) the signal cleavage process. "a" and "b" point to important domains of the cytoplasmic side of the final protein, which are just barely preserved/conserved in the human form.

This alignment among various mammalian versions (orthologs) of SLAMF9 shows that they are all pretty much the same... except for the human version. All the way from mouse to chimpanzee nothing has changed at the front end of this protein. That is amazing in itself, showing very strong conservation. But then after our lineage split from chimpanzees, something weird. A small segment at the front of this protein is totally different. This area is important because it carries the cleavage site of the signal sequence. The signal sequence directs the protein to be sent to the membrane (as this is a trans-membrane receptor), and this cleavage site is bad, explaining why the author's attempt to express this protein went so poorly. It might be enough for modest expression in the natural setting, but not enough for their investigations.

At the DNA level, it is clear that what happened to the protein was a double frame shift in translation, out of frame at the front, then recovered frame at the second mutation. The mutations must have been independent events, but the order of their occurrence is not known. The first intron trails off to the left, while the coding sequence tails off to the right.

When they looked at the DNA sequence, the reason for this change in the protein sequence became clearer. There was a frame shift, with only small changes in the DNA sequence that led to the bigger change in the protein sequence. On the left, there is a shift in the splice site at the end of the first intron (splice acceptor). This shifts the mRNA product by four bases (vs the start site of translation), creating a frame shift in translation, as portrayed in the amino acid codes given. On the right, there is a one nucleotide deletion, causing another frame shift that brings the translation back into the normal frame. 

They sampled all the available archeological samples from the human lineage- Neanderthals and Denisovans, and each were the same as the current human sequence. So, whatever happened did so between the split from chimpanzees and the advent of these available homo species. And what happened were two distinct events- the second frame shift and the first frame shift are independent genetic mutations. 

Which happened first? That is uncertain, but the authors show that the right-most frame shift (called g.621delT) did not influence the change in the splice site. The splice site change was caused by a series of about six mutations within the first intron, (not shown), which shifted the pattern of mRNA self-hybridization that helps direct splice site selection. So it is likely that the splice site change happened first, essentially killing the gene. And then the downstream frameshift happened later on to rescue it in a partial, not very well-expressed way. However, either mutation could have happened first to functionally kill off this gene, and then further mutation(s) to recover its function. In any case, both events happened within this roughly six-million-year time span that generated our immediate lineage, becoming firmly fixed as the only version of this gene now in our collective genome.

What might cause these events? It all goes back to the function of SLAMF9. As shown above, it is very highly conserved. But, being part of the immune system and the interface we show to pathogens, it is also on the front line of the bio-warfare arms race. As humans started ranging far beyond their original habitats, they doubtless encountered many new pathogens. It seems likely that killing off this gene might have resolved one such fight, at least for a little while, perhaps by removing a pathogen entry point. But later on, it became beneficial to recover it, which is to say that new mutations that restored its function even a little bit were evidently selected for, and spread in the population. There was a race at this point between the accumulation of more (now neutral) mutations that would have permanently inactivated this gene, and the advent of that one special mutation that could save it. The overall conservation of SLAMF9 argues that saving it must have conferred significant benefits.

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How 5S rRNA Gets Into the Ribosome

For a minor component, it gets a lot of molecular love.

As mentioned several times in this space, the ribosome, which synthesizes proteins according to mRNA instructions, is an extremely ancient and complicated machine. Its core, including the catalytic site, is RNA. This marks it as a hold-over from the RNA world, as the thing that made proteins, (probably tiny proteins at first), before proteins had become a thing. But boy has there been a lot of duct-taping since then. In humans, there are four ribosomal RNAs, eighty proteins pasted on the outside, and hundreds of other proteins or RNAs involved in assembling the ribosome, not to mention dozens of initiation factors and other regulators that help during translation.

A recent paper discussed the maturation of 5S ribosomal RNA, which is the smallest rRNA, and one whose function is more peripheral than the large central 16S and 23S rRNAs. It is present in all life forms, though ribosomes inside mitochondria do without it. Its processing is an interesting case study of the complexity that has accumulated over the eons. Exactly what the 5S rRNA does remains a bit unclear, though it clearly contributes to the dynamics of the large ribosomal subunit, and occupies the "central protuberance". One group ligated it into the large subunit 23S rRNA, showing that translation still worked quite well with the 5S portion stably tacked into the structure. But then they also found that these ribosomes fell with high frequency into an unproductive locked state, suggesting that the independent nature of the 5S rRNA plays an important role in the dynamics of the ribosome. 

At any rate, the assembly of 5S into the rest of the structure is a story in itself. There are multiple steps involved, some involving ATP-using helicases. As it comes off the gene, 5S rRNA is bound by two proteins- the TFIIIA regulatory factor that activates its transcription, and also La protein (aka La antigen), which is a storage protein, named after systemic lupus, for which it is one immune target. To be incorportated into ribosomes, the RNA is next bound by a complex of Rpl5 and Rpl11, which will remain with the 5S RNA and become part of the eventual ribosome. Next come Rpf2 and Rrs1, which are two assembly facilitators that bind as a complex. Then comes Rsa4, which is similarly an assembly protein that helps the whole mess bind to the proper place on the (immature) large ribosomal subunit. Lastly, Rea1 (called MDN1 in humans) is an ATP-driven RNA helicase that wrenches the whole 5S-containing protuberance into its final and quite different position. 

The authors provide a scheme for the stepwise processing and assembly of 5S rRNA into the ribosome, involving numerous assembly factors, ribosomal proteins, and a helicase. 

It is quite an amazing story of progressive assembly, all to attach an element of the ribosome that is hardly central, but is rather a relatively late accretion on the machinery. Nevertheless, it evidently deserves specialized attention for correct placement. 

A less schematic view of various steps heading toward ribosomal assembly. 5S rRNA is in teal, and the helicase Rea1 is in dark gold, mounted like a wrench at the top of the (late) structure.

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We Have Rocks in Our Heads ... And Everywhere Else, Too

On the evolution and role of iron-sulfur complexes.

Some of the more persuasive ideas about the origin of life have it beginning in the rocks of hydrothermal vents. Here was a place with plenty of energy, interesting chemistry, and proto-cellular structures available to host it. Some kind of metabolism would by this theory have come first, followed by other critical elements like membranes and RNA coding/catalysis. This early earth lacked oxygen, so iron was easily available, not prone to oxidation as now. Thus life at this early time used many minerals in its metabolic processes, as they were available for free. Now, on today's earth, they are not so free, and we have complex processes to acquire and manage them. One of the major minerals we use is the iron-sulfur complex, (similar to pyrite), which comes in a variety of forms and is used by innumerable enzymes in our cells. 

The more common iron-sulfur complexes, with sulfur in yellow, iron in orange.

The principle virtue of the iron-sulfur complex is its redox flexibility. With the relatively electronically "soft" sulfur, iron forms semi-covalent-style bonds, while being able to absorb or give up an electron safely, without destroying nearby chemicals as iron alone typically does. Depending on the structure and liganding, the voltage potential of such complexes can be tuned all over the (reduction potential) map, from -600 to +400 mV. Many other cofactors and metals are used in redox reactions, but iron-sulfur is the most common by far.

Reduction potentials (ability to take up an electron, given an electrical push) of various iron-sulfur complexes.

Researchers had assumed that, given the abundance of these elements, iron-sulfur complexes were essentially freely acquired until the great oxidation event, about two to three billion years ago, when free oxygen started rising and free iron (and sulfur) disappeared, salted away into vast geological deposits. Life faced a dilemma- how to reliably construct minerals that were now getting scarce. The most common solution was a three enzyme system in mitochondria that 1) strips a sulfur from the amino acid cysteine, a convenient source inside cells, 2) scaffolds the construction of the iron-sulfur complex, with iron coming from carrier proteins such as frataxin, and 3) employs several carrier proteins to transfer the resulting complexes to enzymes that need them. 

But a recent paper described work that alters this story, finding archaeal microbes that live anaerobically and make do with only the second of these enzymes. A deep phylogenetic analysis shows that the (#2) assembly/scaffold enzymes are the core of this process, and have existed since the last common ancestor of all life. So they are incredibly ancient, and it turns out to that iron-sulfur complexes can not just be gobbled up from the environment, at least not by any reasonably advanced life form. Rather, these complexes need to be built and managed under the care of an enzyme.

The presented structures of the dimer of SmsB (orange) and SmsC (blue) that dimerize again to make up a full iron-sulfur scaffolding and production enzyme in the archaean Methanocaldococcus jannaschii. Note the reaction scheme where ATP comes in and evicts the iron-sulfur cluster. On right is shown how ATP fits into the structure, and how it nudges the iron-sulfur binding area (blue vs green tracing).

A recent paper from this group extended their analysis to the structure of the assembly/scaffold enzyme. They find that, though it is a symmetrical dimer of a complex of two proteins, it only deals with one iron-sulfur complex at at time. It also binds and cleaves ATP. But ATP seems to have more of an inhibitory role than one that stimulates assembly directly. The authors suggest that high levels of ATP signal that less iron-sulfur complex is needed to sustain the core electron transport chains of metabolism, making this ATP inhibition an allosteric feedback control mechanism in these archaeal cells. I might add, however, that ATP binding may well also have a role in extricating the assembled iron-sulfur cluster from the enzyme, as that complex is quite well coordinated, and could use a push to pop out into the waiting arms of target enzymes.

"These ancestral systems were kept in archaea whereas they went through stepwise complexification in bacteria to incorporate additional functions for higher Fe-S cluster synthesis efficiency leading to SUF, ISC and NIF." - That is, the three-component systems present in eukaryotes, which come in three types.

In the author's structure, the iron-sulfur complex, liganded by three cysteines within the SmsC protein. But note how, facing the viewer, the complex is quite exposed, ready to be taken up by some other enzyme that has a nice empty spot for it.

Additionally, these archaea, with this simple one-step iron cluster formation pathway, get their sulfur not from cysteine, but from ambient elemental sulfur. Which is possible, as they live only in anaerobic environments, such as deep sea hydrothermal vents. So they represent a primitive condition for the whole system as may have occurred in the last common ancestor of all life. This ancestor is located at the split between bacteria and archaea, so was a fully fledged and advanced cell, far beyond the earlier glimmers of abiogenesis, the iron sulfur world, and the RNA world.

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