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The Ubiquitin System: Functional Complexity and Semiosis joined together.

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This is a very complex subject, so as usual I will try to stick to the essentials to make things as clear as possible, while details can be dealt with in the discussion.

It is difficult to define exactly the role of the Ubiquitin System. It is usually considered mainly a pathway which regulates protein degradation, but in reality its functions are much wider than that.

In essence, the US is a complex biological system which targets many different types of proteins for different final fates.

The most common “fate” is degradation of the protein. In that sense, the Ubiquitin System works together with another extremely complex cellular system, the proteasome. In brief, the Ubiquitin System “marks” proteins for degradation, and the proteasome degrades them.

It seems simple. It is not.

Ubiquitination is essentially one of many Post-Translational modifications (PTMs): modifications of proteins after their synthesis by the ribosome (translation). But, while most PTMs use simpler biochemical groups that are usually added to the target protein (for example, acetylation), in ubiquitination a whole protein (ubiquitin) is used as a modifier of the target protein.

 

The tool: Ubiquitin

Ubiquitin is a small protein (76 AAs). Its name derives from the simple fact that it  is found in most tissues of eukaryotic organisms.

Here is its aminoacid sequence:

MQIFVKTLTGKTITLEVEPSDTIENVKAKIQDKEGIPPD

QQRLIFAGKQLEDGRTLSDYNIQKESTLHLVLRLRGG

Essentially, it has two important properties:

  1. As said, it is ubiquitous in eukaryotes
  2. It is also extremely conserved in eukaryotes

In mammals, ubiquitin is not present as a single gene. It is encoded by 4 different genes: UBB, a poliubiquitin (3 Ub sequences); UBC, a poliubiquitin (9 Ub sequences); UBA52, a mixed gene (1   Ub sequence + the ribosomal protein L40); and RPS27A, again a mixed gene (1 Ub sequence + the ribosomal protein S27A). However, the basic ubiquitin sequence is always the same in all those genes.

Its conservation is one of the highest in eukaryotes. The human sequence shows, in single celled eukaryotes:

Naegleria: 96% conservation;  Alveolata: 100% conservation;  Cellular slime molds: 99% conservation; Green algae: 100% conservation; Fungi: best hit 100% conservation (96% in yeast).

Ubiquitin and Ubiquitin like proteins (see later) are characterized by a special fold, called  β-grasp fold.

 

The semiosis: the ubiquitin code

The title of this OP makes explicit reference to semiosis. Let’s try to see why.

The simplest way to say it is: ubiquitin is a tag. The addition of ubiquitin to a substrate protein marks that protein for specific fates, the most common being degradation by the proteasome.

But not only that. See, for example, the following review:

Nonproteolytic Functions of Ubiquitin in Cell Signaling

Abstract:

The small protein ubiquitin is a central regulator of a cell’s life and death. Ubiquitin is best known for targeting protein destruction by the 26S proteasome. In the past few years, however, nonproteolytic functions of ubiquitin have been uncovered at a rapid pace. These functions include membrane trafficking, protein kinase activation, DNA repair, and chromatin dynamics. A common mechanism underlying these functions is that ubiquitin, or polyubiquitin chains, serves as a signal to recruit proteins harboring ubiquitin-binding domains, thereby bringing together ubiquitinated proteins and ubiquitin receptors to execute specific biological functions. Recent advances in understanding ubiquitination in protein kinase activation and DNA repair are discussed to illustrate the nonproteolytic functions of ubiquitin in cell signaling.

Another important aspect is that ubiquitin is not one tag, but rather a collection of different tags. IOWs, a tag based code.

See, for example, here:

The Ubiquitin Code in the Ubiquitin-Proteasome System and Autophagy

(Paywall).

Abstract:

The conjugation of the 76 amino acid protein ubiquitin to other proteins can alter the metabolic stability or non-proteolytic functions of the substrate. Once attached to a substrate (monoubiquitination), ubiquitin can itself be ubiquitinated on any of its seven lysine (Lys) residues or its N-terminal methionine (Met1). A single ubiquitin polymer may contain mixed linkages and/or two or more branches. In addition, ubiquitin can be conjugated with ubiquitin-like modifiers such as SUMO or small molecules such as phosphate. The diverse ways to assemble ubiquitin chains provide countless means to modulate biological processes. We overview here the complexity of the ubiquitin code, with an emphasis on the emerging role of linkage-specific degradation signals (degrons) in the ubiquitin-proteasome system (UPS) and the autophagy-lysosome system (hereafter autophagy).

A good review of the basics of the ubiquitin code can be found here:

The Ubiquitin Code 

(Paywall)

It is particularly relevant, from an ID point of view, to quote the starting paragraph of that paper:

When in 1532 Spanish conquistadores set foot on the Inca Empire, they found a highly organized society that did not utilize a system of writing. Instead, the Incas recorded tax payments or mythology with quipus, devices in which pieces of thread were connected through specific knots. Although the quipus have not been fully deciphered, it is thought that the knots between threads encode most of the quipus’ content. Intriguingly, cells use a regulatory mechanism—ubiquitylation—that is reminiscent of quipus: During this reaction, proteins are modified with polymeric chains in which the linkage between ubiquitin molecules encodes information about the substrate’s fate in the cell.

Now, ubiquitin is usually linked to the target protein in chains. The first ubiquitin molecule is covalently bound through its C-terminal carboxylate group to a particular lysine, cysteine, serine, threonine or N-terminus of the target protein.

Then, additional ubiquitins are added to form a chain, and the C-terminus of the new ubiquitin is linked to one of seven lysine residues or the first methionine residue on the previously added ubiquitin.

IOWs, each ubiquitin molecule has seven lysine residues:

K6, K11, K27, K29, K33, K48, K63

And one N terminal methionine residue:

M1

And a new ubiquitin molecule can be added at each of those 8 sites in the previous ubiquitin molecule. IOWs, those 8 sites in the molecule are configurable switches that can be used to build ubiquitin chains.

Her are the 8 sites, in red, in the ubiquitin molecule:

MQIFVKTLTGKTITLEVEPSDTIENVKAKIQDKEGIPPD

QQRLIFAGKQLEDGRTLSDYNIQKESTLHLVLRLRGG

Fig 1 shows two ubiquitin molecules joined at K48.

Fig 1 A cartoon representation of a lysine 48-linked diubiquitin molecule. The two ubiquitin chains are shown as green cartoons with each chain labelled. The components of the linkage are indicated and shown as orange sticks. By Rogerdodd (Own work) [CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0)], via Wikimedia Commons

The simplest type of chain is homogeneous (IOWs, ubiquitins are linked always at the same site). But many types of mixed and branched chains can also be found.

Let’s start with the most common situation: a poli-ubiquitination of (at least) 4 ubiqutins, linearly linked at K48. This is the common signal for proteasome degradation.

By the way, the 26S proteasome is another molecular machine of incredible complexity, made of more than 30 different proteins. However, its structure and function are not the object of this OP, and therefore I will not deal with them here.

The ubiquitin code is not completely understood, at present, but a few aspects have been well elucidated. Table 1 sums up the most important and well known modes:

Code

Meaning

Polyubiquitination (4 or more) with links at K48 or at K11 Proteasomal degradation
Monoubiqutination (single or multiple) Protein interactions, membrane trafficking, endocytosis
Polyubiquitination with links at K63 Endocytic trafficking, inflammation, translation, DNA repair.
Polyubiquitination with links at K63 (other links) Autophagic degradation of protein substrates
Polyubiquitination with links at K27, K29, K33 Non proteolytic processes
Rarer chain types (K6, K11) Under investigation

 

However, this is only a very partial approach. A recent bioinformatics paper:

An Interaction Landscape of Ubiquitin Signaling

(Paywall)

Has attempted for the first time a systematic approach to deciphering the whole code, using synthetic diubiquitins (all 8 possible variants) to identify the different interactors with those signals, and they identified, with two different methodologies,  111 and 53 selective interactors for linear polyUb chains, respectively. 46 of those interactors were identified by both methodologies.

The translation

But what “translates” the complex ubiquitin code, allowing ubiquinated proteins to met the right specific destiny? Again, we can refer to the diubiquitin paper quoted above.

How do cells decode this ubiquitin code into proper cellular responses? Recent studies have indicated that members of a protein family, ubiquitin-binding proteins (UBPs), mediate the recognition of ubiquitinated substrates. UBPs contain at least one of 20 ubiquitin-binding domains (UBDs) functioning as a signal adaptor to transmit the signal from ubiquitinated substrates to downstream effectors

But what are those “interactors” identified by the paper (at least 46 of them)? They are, indeed, complex proteins which recognize specific configurations of the “tag” (the ubiquitin chain), and link the tagged (ubiquinated) protein to other effector proteins which implement its final fate, or anyway contribute in deffrent forms to that final outcome.

 

The basic control of the procedure: the complexity of the ubiquitination process.

So, we have seen that ubiquitin chains work as tags, and that their coded signals are translated by specific interactors, so that the target protein may be linked to its final destiny, or contribute to the desired outcome. But we must still address one question: how is the ubiquitination of the different target proteins implemented? IOWs, what is the procedure that “writes” the specific codes associated to specific target proteins?

This is indeed the first step in the whole process. But it is also the most complex, and that’s why I have left it for the final part of the discussion.

Indeed, the ubiquitination process needs to realize the following aims:

  1. Identify the specific protein to be ubiquitinated
  2. Recognize the specific context in which that protein needs to be ubiquitinated
  3. Mark the target protein with the correct tag for the required fate or outcome

We have already seen that the ubiquitin system is involved in practically all different cellular paths and activities, and therefore we can expect that the implementation of the above functions must be a very complex thing.

And it is.

Now, we can certainly imagine that there are many different layers of regulation that may contribute to the general control of the procedure, specifically epigenetic levels, which are at present poorly understood. But there is one level that we can more easily explore and understand, and it is , as usual, the functional complexity of the proteins involved.

And, even at a first gross analysis, it is really easy to see that the functional complexity implied by this process is mind blowing.

Why? It is more than enough to consider the huge number of different proteins involved. Let’s see.

The ubiquitination process is well studied. It can be divided into three phases, each of which is implemented by a different kind of protein. The three steps, and the three kinds of proteins that implement them, take the name of E1, E2 and E3.

 

Fig. 2 Schematic diagram of the ubiquitylation system. Created by Roger B. Dodd: Rogerdodd at the English language Wikipedia [GFDL (http://www.gnu.org/copyleft/fdl.html) or CC-BY-SA-3.0 (http://creativecommons.org/licenses/by-sa/3.0/)], via Wikimedia Commons

 The E1 step of ubiquitination.

This is the first thing that happens, and it is also the simplest.

E1 is the process of activation of ubiquitin, and the E1 proteins is called E1 ubiquitin-activating enzyme. To put it simply, this enzyme “activates” the ubiquitin molecule in an ATP dependent process, preparing it for the following phases and attaching it to its active site cysteine residue. It is not really so simple, but for our purposes that can be enough.

This is a rather straightforward enzymatic reaction. In humans there are essentially two forms of E1 enzymes, UBA1 and UBA6, each of them about 1000 AAs long, and partially related at sequence level (42%).

 

The E2 step of ubiquitination.

The second step is ubiquitin conjugation. The activated ubiquitin is transferred from the E1 enzyme to the ubiquitin-conjugating enzyme, or E2 enzyme, where it is attached to a cysteine residue.

This apparently simple “transfer” is indeed a complex intermediate phase. Humans have about 40 different E2 molecules. The following paper:

E2 enzymes: more than just middle men

details some of the functional complexity existing at this level.

Abstract:

Ubiquitin-conjugating enzymes (E2s) are the central players in the trio of enzymes responsible for the attachment of ubiquitin (Ub) to cellular proteins. Humans have ∼40 E2s that are involved in the transfer of Ub or Ub-like (Ubl) proteins (e.g., SUMO and NEDD8). Although the majority of E2s are only twice the size of Ub, this remarkable family of enzymes performs a variety of functional roles. In this review, we summarize common functional and structural features that define unifying themes among E2s and highlight emerging concepts in the mechanism and regulation of E2s.

However, I will not go into details about these aspects, because we have better things to do: we still have to discuss the E3 phase!

 

The E3 step of ubiquitination.

This is the last phase of ubiquitination, where the ubiquitin tag is finally transferred to the target protein, as initial mono-ubiquitination, or to build an ubiquitin chain by following ubiqutination events. The proteins which implement this final passage are call E3 ubiquitin ligases. Here is the definition from Wikipedia:

A ubiquitin ligase (also called an E3 ubiquitin ligase) is a protein that recruits an E2 ubiquitin-conjugating enzyme that has been loaded with ubiquitin, recognizes a protein substrate, and assists or directly catalyzes the transfer of ubiquitin from the E2 to the protein substrate.

It is rather obvious that the role of the E3 protein is very important and delicate. Indeed it:

  1. Recognizes and links the E2-ubiquitin complex
  2. Recognizes and links some specific target protein
  3. Builds the appropriate tag for that protein (Monoubiquitination, mulptiple monoubiquitination, or poliubiquitination with the appropriate type of ubiquitin chain).
  4. And it does all those things at the right moment, in the right context, and for the right protein.

IOWs, the E3 protein writes the coded tag. It is, by all means, the central actor in our complex story.

So, here comes the really important point: how many different E3 ubiquitin ligases do we find in eukaryotic organisms? And the simple answer is: quite a lot!

Humans are supposed to have more than 600 different E3 ubiquitin ligases!

So, the human machinery for ubiquitination is about:

2 E1 proteins  –  40 E2 proteins – >600 E3 proteins

A real cascade of complexity!

OK, but even if we look at single celled eukaryotes we can already find an amazing level of complexity. In yeast, for example, we have:

1 or 2 E1 proteins  –  11 E2 proteins – 60-100 E3 proteins

See here:

The Ubiquitin–Proteasome System of Saccharomyces cerevisiae

Now, a very important point. Those 600+ E3 proteins that we find in humans are really different proteins. Of course, they have something in common: a specific domain.

From that point of view, they can be roughly classified in three groups according to the specific E3 domain:

  1. RING group: the RING finger domain ((Really Interesting New Gene) is a short domain of zinc finger type, usually 40 to 60 amino acids. This is the biggest group of E3s (about 600)
  2. HECT domain (homologous to the E6AP carboxyl terminus): this is a bigger domain (about 350 AAs). Located at the C terminus of the protein. It has a specific ligase activity, different from the RING   In humans we have approximately 30 proteins of this type.
  3. RBR domain (ring between ring fingers): this is a common domain (about 150 AAs) where two RING fingers are separated by a region called IBR, a cysteine-rich zinc finger. Only a subset of these proteins are E3 ligases, in humans we have about 12 of them.

See also here.

OK, so these proteins have one of these three domains in common, usually the RING domain. The function of the domain is specifically to interact with the E2-ubiquitin complex to implement the ligase activity. But the domain is only a part of the molecule, indeed a small part of it. E3 ligases are usually big proteins (hundreds, and up to thousands of AAs). Each of these proteins has a very specific non domain sequence, which is probably responsible for the most important part of the function: the recognition of the specific proteins that each E3 ligase processes.

This is a huge complexity, in terms of functional information at sequence level.

Our map of the ubiquinating system in humans could now be summarized as follows:

2 E1 proteins  –  40 E2 proteins – 600+ E3 proteins + thousands of specific substrates

IOWs, each of hundreds of different complex proteins recognizes its specific substrates, and marks them with a shared symbolic code based on uniquitin and its many possible chains. And the result of that process is that proteins are destined to degradation by the proteasome or other mechanisms, and that protein interactions and protein signaling are regulated and made possible, and that practically all cellular functions are allowed to flow correctly and smoothly.

Finally, here are two further compoments of the ubuquitination system, which I will barely mention, to avoid making this OP too long.

Ubiquitin like proteins (Ubl):

A number of ubiquitin like proteins add to the complexity of the system. Here is the abstract from a review:

The eukaryotic ubiquitin family encompasses nearly 20 proteins that are involved in the posttranslational modification of various macromolecules. The ubiquitin-like proteins (UBLs) that are part of this family adopt the β-grasp fold that is characteristic of its founding member ubiquitin (Ub). Although structurally related, UBLs regulate a strikingly diverse set of cellular processes, including nuclear transport, proteolysis, translation, autophagy, and antiviral pathways. New UBL substrates continue to be identified and further expand the functional diversity of UBL pathways in cellular homeostasis and physiology. Here, we review recent findings on such novel substrates, mechanisms, and functions of UBLs.

These proteins include SUMO, Nedd8, ISB15, and many others.

Deubiquitinating enzymes (DUBs):

The process of ubiquitination, complex as it already is, is additionally regulated by these enzymes which can cleave ubiquitin from proteins and other molecules. Doing so, they can reverse the effects of ubiquitination, creating a delicately balanced regulatory network. In humans there are nearly 100 DUB genes, which can be classified into two main classes: cysteine proteases and metalloproteases.

 

By the way, here is a beautiful animation of the basic working of the ubiquitin-proteasome system in degrading damaged proteins:

 

 

A summary:

So, let’s try a final graphic summary of the whole ubiquitin system in humans:

Fig 3 A graphic summary of the Ubiquitin System

 

Evolution of the Ubiquitin system?

The Ubiqutin system is essentially an eukaryotic tool. Of course, distant precursors for some of the main components have been “found” in prokaryotes. Here is the abstract from a paper that sums up what is known about the prokaryotic “origins” of the system:

Structure and evolution of ubiquitin and ubiquitin-related domains.

(Paywall)

Abstract:

Since its discovery over three decades ago, it has become abundantly clear that the ubiquitin (Ub) system is a quintessential feature of all aspects of eukaryotic biology. At the heart of the system lies the conjugation and deconjugation of Ub and Ub-like (Ubls) proteins to proteins or lipids drastically altering the biochemistry of the targeted molecules. In particular, it represents the primary mechanism by which protein stability is regulated in eukaryotes. Ub/Ubls are typified by the β-grasp fold (β-GF) that has additionally been recruited for a strikingly diverse range of biochemical functions. These include catalytic roles (e.g., NUDIX phosphohydrolases), scaffolding of iron-sulfur clusters, binding of RNA and other biomolecules such as co-factors, sulfur transfer in biosynthesis of diverse metabolites, and as mediators of key protein-protein interactions in practically every conceivable cellular context. In this chapter, we present a synthetic overview of the structure, evolution, and natural classification of Ub, Ubls, and other members of the β-GF. The β-GF appears to have differentiated into at least seven clades by the time of the last universal common ancestor of all extant organisms, encompassing much of the structural diversity observed in extant versions. The β-GF appears to have first emerged in the context of translation-related RNA-interactions and subsequently exploded to occupy various functional niches. Most biochemical diversification of the fold occurred in prokaryotes, with the eukaryotic phase of its evolution mainly marked by the expansion of the Ubl clade of the β-GF. Consequently, at least 70 distinct Ubl families are distributed across eukaryotes, of which nearly 20 families were already present in the eukaryotic common ancestor. These included multiple protein and one lipid conjugated forms and versions that functions as adapter domains in multimodule polypeptides. The early diversification of the Ubl families in eukaryotes played a major role in the emergence of characteristic eukaryotic cellular substructures and systems pertaining to nucleo-cytoplasmic compartmentalization, vesicular trafficking, lysosomal targeting, protein processing in the endoplasmic reticulum, and chromatin dynamics. Recent results from comparative genomics indicate that precursors of the eukaryotic Ub-system were already present in prokaryotes. The most basic versions are those combining an Ubl and an E1-like enzyme involved in metabolic pathways related to metallopterin, thiamine, cysteine, siderophore and perhaps modified base biosynthesis. Some of these versions also appear to have given rise to simple protein-tagging systems such as Sampylation in archaea and Urmylation in eukaryotes. However, other prokaryotic systems with Ubls of the YukD and other families, including one very close to Ub itself, developed additional elements that more closely resemble the eukaryotic state in possessing an E2, a RING-type E3, or both of these components. Additionally, prokaryotes have evolved conjugation systems that are independent of Ub ligases, such as the Pup system.

 

As usual, we are dealing here with distant similarities, but there is no doubt that the ubiquitin system as we know it appears in eukaryotes.

But what about its evolutionary history in eukaryotes?

We have already mentioned the extremely high conservation of ubiquitin itself.

UBA1, the main E1 enzyme, is rather well conserved from fungi to humans: 60% identity, 1282 bits, 1.21 bits per aminoacid (baa).

E2s are small enzymes, extremely conserved from fungi to humans: 86% identity, for example, for UB2D2, a 147 AAs molecule.

E3s, of course, are the most interesting issue. This big family of proteins behaves in different ways, consistently with its highly specific functions.

It is difficult to build a complete list of E3 proteins. I have downloaded from Uniprot a list of reviewed human proteins including “E3 ubiquitun ligase” in their name: a total of 223 proteins.

The mean evolutionary behavior of this group in metazoa is rather different from protein to protein. However, as a group these proteins exhibit an information jump in vertebrates which is significantly higher than the jump in all other proteins:

 

Fig. 4 Boxplots of the distribution of human conserved information jump from pre-vertebrates to vertebrates in 223 E3 ligase proteins and in all other human proteins. The difference is highly significant.

 

As we already know, this is evidence that this class of proteins is highly engineered in the transition to vertebrates. That is consistent with the need to finely regulate many cellular processes, most of which are certainly highly specific for different groups of organisms.

The highest vertebrate jump, in terms of bits per aminoacid, is shown in my group by the E3 ligase TRIM62. also known as DEAR1 (Q9BVG3), a 475 AAs long protein almost absent in pre-vertebrates (best hit 129 bits, 0.27 baa in Branchiostoma belcheri) and which flaunts an amazing jump of 1.433684 baa in cartilaginous fish (810 bits, 1.705263 baa).

But what is this protein? It is a master regulator tumor suppressor gene, implied in immunity, inflammation, tumor genesis.

See here:

TRIM Protein-Mediated Regulation of Inflammatory and Innate Immune Signaling and Its Association with Antiretroviral Activity

and here:

DEAR1 is a Chromosome 1p35 Tumor Suppressor and Master Regulator of TGFβ-Driven Epithelial-Mesenchymal Transition

This is just to show what a single E3 ligase can be involved in!

An opposite example, from the point of view of evolutionary history, is SIAH1, an E3 ligase implied in proteosomal degradation of proteins. It is a 282 AAs long protein, which already exhibits 1.787234 baa (504 bits) of homology in deuterostomes, indeed already 1.719858 baa in cnidaria. However, in fungi the best hit is only 50.8 bits (0.18 baa). So, this is a protein whose engineering takes place at the start of metazoa, and which exhibits only a minor further jump in vertebrates (0.29 baa), which brings the protein practically to its human form already in cartilaginous fish (280 identities out of 282, 99%). Practically a record.

So, we can see that E3 ligases are a good example of a class of proteins which perform different specific functions, and therefore exhibit different evolutionary histories: some, like TRIM62, are vertebrate quasi-novelties, others, like SIAH1, are metazoan quasi-novelties. And, of course, there are other behaviours, like for example BRCA1, Breast cancer type 1 susceptibility protein, a protein 1863 AAs long which only in mammals acquires part of its final sequence configuration in humans.

The following figure shows the evolutionary history of the three proteins mentioned above.

 

Fig. 5 Evolutionary history in metazoa of three E3 ligases (human conserved functional information)

 

An interesting example: NF-kB signaling

I will discuss briefly an example of how the Ubiquitin system interacts with some specific and complex final effector system. One of the best models for that is the NF-kB signaling.

NK-kB is a transcription factor family that is the final effector of a complex signaling pathway. I will rely mainly on the following recent free paper:

The Ubiquitination of NF-κB Subunits in the Control of Transcription

Here is the abstract:

Nuclear factor (NF)-κB has evolved as a latent, inducible family of transcription factors fundamental in the control of the inflammatory response. The transcription of hundreds of genes involved in inflammation and immune homeostasis require NF-κB, necessitating the need for its strict control. The inducible ubiquitination and proteasomal degradation of the cytoplasmic inhibitor of κB (IκB) proteins promotes the nuclear translocation and transcriptional activity of NF-κB. More recently, an additional role for ubiquitination in the regulation of NF-κB activity has been identified. In this case, the ubiquitination and degradation of the NF-κB subunits themselves plays a critical role in the termination of NF-κB activity and the associated transcriptional response. While there is still much to discover, a number of NF-κB ubiquitin ligases and deubiquitinases have now been identified which coordinate to regulate the NF-κB transcriptional response. This review will focus the regulation of NF-κB subunits by ubiquitination, the key regulatory components and their impact on NF-κB directed transcription.

 

The following figure sums up the main features of the canonical activation pathway:

 

Fig. 6 A simple summary of the main steps in the canonical activayion pathway of NF-kB

 

Here the NF-κB TF is essentially the heterodimer RelA – p50. Before activation, the NF-κB (RelA – p50) dimer is kept in an inactive state and remains in the cytoplasm because it is linked to the IkB alpha protein, an inhibitor of its function.

Activation is mediated by a signal-receptor interaction, which starts the whole pathway. A lot of different signals can do that, adding to the complexity, but we will not discuss this part here.

As a consequence of receptor activation, another protein complex, IκB kinase (IKK), accomplishes the Phosphorylation of IκBα at serines 32 and 36. This is the signal for the ubiquitination of the IkB alpha inhibitor.

This ubiqutination targets IkB alpha for proteosomal degradation. But how is it achieved?

Well, things are not so simple. A whole protein complex is necessary, a complex which implements many different ubiquitinations in different contexts, including this one.

The complex is made by 3 basic proteins:

  • Cul1 (a scaffold protein, 776 AAs)
  • SKP1 (an adaptor protein, 163 AAs)
  • Rbx1 (a RING finger protein with E3 ligase activity, 108 AAs)

Plus:

  • An F-box protein (FBP) which changes in the different context, and confers specificity.

In our context, the F box protein is called beta TRC (605 AAs).

 

Fig. 7 A simple diagram of the SKP1 – beta TRC complex

 

Once the IkB alpha inhibitor is ubiquinated and degraded in the proteasome, the NF-κB dimer is free to translocate to the nucleus, and implement its function as a transcription factor (which is another complex issue, that we will not discuss).

OK, this is only the canonical activation of the pathway.

In the non canonical pathway (not shown in the figure) a different set of signals, receptors and activators acts on a different NF-κB dimer (RelB – p100). This dimer is not linked to any inhibitor, but is itself inactive in the cytoplasm. As a result of the signal, p100 is phosphorylated at serines 866 and 870. Again, this is the signal for ubiquitination.

This ubiquitination is performed by the same complex described above, but the result is different. P100 is only partially degraded in the proteasome, and is transformed into a smaller protein, p52, which remains linked to RelB. The RelB – p52 dimer is now an active NF-κB Transcription Factor, and it can relocate to the nucleus and act there.

But that’s not all.

  • You may remember that RelA (also called p 65) is one of the two components of NF-kB TF in the canonical pathway (the other being p 50). Well, RelA is heavily controlled by ubiquitination after it binds DNA in the nucleus to implement its TF activity. Ubiquitination (a very complex form of it) helps detachment of the TF from DNA, and its controlled degradation, avoiding sustained expression of NF-κB-dependent genes. For more details, see section 4 in the above quoted paper: “Ubiquitination of NF-κB”.
  • The activation of IKK in both the canonical and non canonical pathway after signal – receptor interaction is not so simple as depicted in Fig. 6. For more details, look at Fig. 1 in this paper: Ubiquitin Signaling in the NF-κB Pathway. You can see that, in the canonical pathway, the activation of IKK is mediated by many proteins, including TRAF2, TRAF6, TAK1, NEMO.
  • TRAF2 is a key regulator on many signaling pathways, including NF-kB. It is an E3 ubiquitin ligase. From Uniprot:  “Has E3 ubiquitin-protein ligase activity and promotes ‘Lys-63’-linked ubiquitination of target proteins, such as BIRC3, RIPK1 and TICAM1. Is an essential constituent of several E3 ubiquitin-protein ligase complexes, where it promotes the ubiquitination of target proteins by bringing them into contact with other E3 ubiquitin ligases.”
  • The same is true of TRAF6.
  • NEMO (NF-kappa-B essential modulator ) is also a key regulator. It is not an ubiquinating enzyme, but it is rather heavily regulated by ubiquitination. From Uniprot: “Regulatory subunit of the IKK core complex which phosphorylates inhibitors of NF-kappa-B thus leading to the dissociation of the inhibitor/NF-kappa-B complex and ultimately the degradation of the inhibitor. Its binding to scaffolding polyubiquitin seems to play a role in IKK activation by multiple signaling receptor pathways. However, the specific type of polyubiquitin recognized upon cell stimulation (either ‘Lys-63’-linked or linear polyubiquitin) and its functional importance is reported conflictingly.”
  • In the non canonical pathway, the activation of IKK alpha after signal – receptor interaction is mediated by other proteins, in particular one protein called NIK (see again Fig. 1 quoted above). Well, NIK is regulated by two different types of E3 ligases, with two different types of polyubiquitination:
    • cIAP E3 ligase inactivates it by constant degradation using a K48 chain
    • ZFP91 E3 ligase stabilizes it using a K63 chain

See here:

Non-canonical NF-κB signaling pathway.

In particular, Fig. 3

These are only some of the ways the ubiquitin system interacts with the very complex NF-kB signaling system. I hope that’s enough to show how two completely different and complex biological systems manage to cooperate by intricate multiple connections, and how the ubiquitin system can intervene at all levels of another process. What is true for the NF-kB signaling pathway is equally true for a lot of other biological systems, indeed for almost all basic cellular processes.

But this OP is already too long, and I have to stop here.

As usual, I want to close with a brief summary of the main points:

  1. The Ubiquitin system is a very important regulation network that shows two different signatures of design: amazing complexity and an articulated semiotic structure.
  2. The complexity is obvious at all levels of the network, but is especially amazing at the level of the hundreds of E3 ligases, that can recognize thousands of different substrates in different contexts.
  3. The semiosis is obvious in the Ubiquitin Code, a symbolic code of different ubiquitin configurations which serve as specific “tags” that point to different outcomes.
  4. The code is universally implemented and shared in eukaryotes, and allows control on almost all most important cellular processes.
  5. The code is written by the hundreds of E3 ligases. It is read by the many interactors with ubiquitin-binding domains (UBDs).
  6. The final outcome is of different types, including degradation, endocytosis, protein signaling, and so on.
  7. The interaction of the Ubiquitin System with other complex cellular pathways, like signaling pathways, is extremely complex and various, and happens at many different levels and by many different interacting proteins for each single pathway.

PS:

Thanks to DATCG for pointing to this video in three parts by Dr. Raymond Deshaies, was Professor of Biology at the California Institute of Technology and an Investigator of the Howard Hughes Medical Institute. On iBiology Youtube page:

A primer on the ubiquitin-proteasome system

 

Cullin-RING ubiquitin ligases: structure, structure, mechanism, and regulation

 

Targeting the ubiquitin-proteasome system in cancer

Comments
That was OMagainET
April 1, 2018
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ET: "The word complex appears 200 times on that page as of that comment. But you want individual components to do simple things and those components acting in tandem doing complex things." Is that by Alan Fox? Is that about the ubiquitin system? Is that about this page? I would say that individual components do very complex things in the ubiquitin system, and those components working in tandem do extremely complex things. OK, that will probably make the body ("complex") count even higher! :)gpuccio
April 1, 2018
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gpuccio- How would you like some whine?
The word complex appears 200 times on that page as of that comment. But you want individual components to do simple things and those components acting in tandem doing complex things.
You design what you need to in order to get what needs done accomplished. I would rather have a competent multi-tool then have to carry multiple single tools around. But it all depends on the need and the context.
Not a mish mash of multi layered complexity where it means one thing reading forwards and another backwards and upside-down too, as so impresses BA77.
What mish mash? It must make themselves feel big to say that. But is that an argument? No.
But who designs like that?
Whoever needs to, duh
Only one system that I can think of…..
If you ever find any evidence to support that one system that you can think of by all means present it so we can all have a laugh and then a go at it. Until then all you have is whining and misrepresentation. CongratulationsET
April 1, 2018
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gpuccio, My apologies but I was just showing their desperation in their mindset. And no, they haven't even tried beyond saying that ubiquitin is ubiquitous and therefore evolutionism. You have to remember that Alan Fox thinks that languages evolve without our help. That we define and spell the words has nothing to do with language evolution. :roll:ET
April 1, 2018
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ET: Thank you for the updates. In case some real argument emerges on that side, please let me know. :)gpuccio
April 1, 2018
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Oh my. Entropy is a special case of pathetic. Strange that I don't have any religious inclination just a passion for reality. And it doesn't have any clue as to what Darwin's point was. If evolution is by design then it is very different from what Darwin and his followers (all evolutionary biologists) are talking about. That means one has to be clear about what type of evolution one is talking about. That you are too dim to understand that exposes your dishonesty. And finally there is a huge difference between mere complexity and "complex intricate networks". You are willfully ignorant and it shows. Good luck with that. And good luck trying to demonstrate that the ubiquitin system evolved by means of natural selection, drift or any other blind and mindless processes. And yes that is what evolutionism demands.ET
April 1, 2018
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Too funny, "entropy" is now in full meltdown mode. It thinks that just because Darwin didn't use the words blind and mindless processes that he wasn't talking about them! Earth to entropy- that is all Darwin talked about. Natural selection is both blind and mindless. Darwin sought to remove teleology from biology, ie design without a designer. Read Ernst Mayr and buy a vowel. Then it sez:
I have enough knowledge and intellectual honesty to notice the profound problems with “intelligent design
You don't have any knowledge nor intellectual honesty. You don't even know what is being debated. ID is NOT anti-evolution. Clearly you are just an ignorant troll who has found a happy home among other ignorant trolls.
You, however, think that just pointing to complexity will make your absurd imaginary friend into a reality.
Ignorance and dishonesty. No one claims the design inference from mere complexity. Grow upET
April 1, 2018
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DATCG and all: New stuff about an old friend, p97 (see comments 240 - 244). This is as fresh as one can imagine (March 29): AP-SWATH reveals direct involvement of VCP/p97 in integrated stress response signaling through facilitating CReP/PPP1R15B degradation. http://www.mcponline.org/content/early/2018/03/29/mcp.RA117.000471.full.pdf
Abstract The ubiquitin-directed AAA-ATPase VCP/p97 facilitates degradation of damaged or misfolded proteins in diverse cellular stress response pathways. Resolving the complexity of its interactions with partner and substrate proteins, and understanding its links to stress signaling is therefore a major challenge. Here, we used affinity-purification SWATH mass spectrometry (AP-SWATH) to identify proteins that specifically interact with the substrate-trapping mutant, p97-E578Q. AP-SWATH identified differential interactions over a large detection range from abundant p97 cofactors to pathway-specific partners and individual ligases such as RNF185 and MUL1 that were trapped in p97-E578Q complexes. In addition, we identified various substrate proteins and candidates including the PP1 regulator CReP/PPP1R15B that dephosphorylates eIF2? and thus counteracts attenuation of translation by stress-kinases. We provide evidence that p97 with its Ufd1-Npl4 adapter ensures rapid constitutive turnover and balanced levels of CReP in unperturbed cells. Moreover, we show that p97-mediated degradation, together with a reduction in CReP synthesis, is essential for timely stress-induced reduction of CReP levels and, consequently, for robust eIF2? phosphorylation to enforce the stress response. Thus, our results demonstrate that p97 not only facilitates bulk degradation of misfolded proteins upon stress, but also directly modulates the integrated stress response at the level of signaling.
(Emphasis mine.) And from the conclusions:
Intriguingly, CReP degradation is triggered by the SCF-?-TrCP ubiquitin ligase complex (54-57) as is degradation of two other p97-substrates, IkB? and CDC25A (58,59). This reveals how p97 function is intertwined with stress signaling. DNAdamage induced degradation of CDC25A halts cell cycle progression, while CReP degradation is part of the integrated stress response that governs global protein synthesis through regulation of eIF2? phosphorylation. p97 has therefore an unanticipated dual role in maintaining cellular homeostasis (see model Fig. 5F).
(Emphasis mine) Dual or multiple roles seem to be the rule in this intricate network of networks! :)gpuccio
March 31, 2018
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bill cole: "I think Michael Behe said it best when he said that common descent in itself is not that important. It’s explaining new genetic information thats important." That is certainly true! :)gpuccio
March 30, 2018
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The problem with Common Descent is we don’t actually know what determines form. Until we know that we don’t know what has to change which means it is an untestable concept. Saying it predicts certain patterns is nonsense as the patterns depend on the mechanisms involved.
I agree with gpuccio, this is a very good point. It is hard to argue with guys over their like John and Joe as they understand the phylogenetic details so well. I think Michael Behe said it best when he said that common descent in itself is not that important. It's explaining new genetic information thats important.bill cole
March 30, 2018
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ET: "The problem with Common Descent is we don’t actually know what determines form. Until we know that we don’t know what has to change which means it is an untestable concept. Saying it predicts certain patterns is nonsense as the patterns depend on the mechanisms involved." I agree. The lack of understanding of form control remains a key point. That's why I never reason about form and macroscopic issues, but only about what is understood at the molecular level. That's why evolutionary biologists and molecular biologists are two different populations. Very different indeed. In the end, neo-darwinism flourishes only in the imagination of evolutionary biologists who choose to completely ignore molecular biology. Of course, you can well understand what side I prefer! :)gpuccio
March 30, 2018
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gpuccio
bill cole: Gene loss is not rare in the existing proteomes. It is, however, and exception and not the rule. Not an extremely rare exception, but an exception just the same. Some cases are easier to explain, others are somewhat weird. However, there are prbpably specific explanations in each case, but of course we don’t know them all. But that happens in all biological fields. The general trend is what counts most, even if the exceptions are interesting.
If information is intentionally added to the genome then it can be intentionally taken away so this flower works with your CD plus information idea imo. The idea is challenging for the guys who think this comes solely from nature. Whats the problem with a couple of hundred of randomly lost genes among friends :-)bill cole
March 30, 2018
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The problem with Common Descent is we don't actually know what determines form. Until we know that we don't know what has to change which means it is an untestable concept. Saying it predicts certain patterns is nonsense as the patterns depend on the mechanisms involved.ET
March 30, 2018
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gpuccio- I have always been a fan of nested hierarchies. With biology they fly in the face of universal common descent via gradual processes. And they support a Common Design. They are plans, in a sense. I just posted the bit about nested hierarchies because it shreds what they claim over on TSZ. If Bill wanted to get them with something that is it.ET
March 30, 2018
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gpuccio
However, let’s keep an open mind. My only point is, scientific arguments must be drawn only by facts, never by pre-conceived ideas.
I completely agree and if common descent eventually is validated thats fine. The issue I have is that evolutionary biology uses it as an a priori assumption which can be misleading. Almost all evolutionary papers assume the truth of common descent driven by the blind watchmaker plus other natural mechanisms. So is common descent driven by natural processes currently being used as a hypothesis or a pre-conceived idea? I think your support of common descent with added information is a solid working hypothesis and you have made real arguments for that position. I am interested to see how this shakes out and look forward to ongoing discussions.bill cole
March 30, 2018
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ET: I have never been a fan of nested hierarchies, whatever their use, in favor of CD or against it. I simply find the idea unappealing. As you can see, my argument for CD is completely different.gpuccio
March 30, 2018
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bill cole: Gene loss is not rare in the existing proteomes. It is, however, and exception and not the rule. Not an extremely rare exception, but an exception just the same. Some cases are easier to explain, others are somewhat weird. However, there are prbpably specific explanations in each case, but of course we don't know them all. But that happens in all biological fields. The general trend is what counts most, even if the exceptions are interesting.gpuccio
March 30, 2018
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bill cole: I have no reasons to force a belief in common descent on anyone. My simple point is that it is IMO the best explanation for what we observe. However, I have made clear that I see common descent as discontinuous as far as new complex functional information is involved: each speciation event, or most of them, is probably an instance of design intervention. The "descent" implies however the physical transmission of the already existing information to the new species or organism, while the added information does not descend at all: it is just added. Of course, some events are certainly more "discontinuous" than others. You point, very correctly, to the emergence of eukaryotes. Does that mean that in those cases there was no physical descent? I don't know. Eukaryotes certainly have huge new structures. But they also use a lot of prokaryotic stuff, for which a lot of evidence of common descent can be found. Moreover, it is extremely likely that the mitochondria derive from bacteria and the chloroplast from cyanobacteria, in both cases thorugh some form of symbiosis and a very strong re-engineering. One point where some non universal descent could be found is LUCA, which could have been a pool of different organisms. Bacteria and archaea, and according to someone even the ancestor of eukaryotes. Maybe... However, let's keep an open mind. My only point is, scientific arguments must be drawn only by facts, never by pre-conceived ideas.gpuccio
March 30, 2018
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We had a discussion at TSZ around common design vs common descent where the key argument from the evolution side was the nested hierarchy.
Common Descent does not expect a nested hierarchy: keiths continues to puke all over himself when it comes to nested hierarchies. And even though it has been proven that Doug Theobald is totally wrong keiths continues to reference him on nested hierarchies. Theobald wrongly spews:
The only known processes that specifically generate unique, nested, hierarchical patterns are branching evolutionary processes.
WRONG! Linnaean Taxonomy is an objective nested hierarchy and it doesn't have anything to do with branching evolutionary processes. Corporations can be placed in objective nested hierarchies and again they have nothing to do with branching evolutionary processes. The US Army is a nested hierarchy and it too has nothing to do with branching evolutionary processes. Clearly Theobald is ignorant of nested hierarchies. He goes on to spew:
It would be very problematic if many species were found that combined characteristics of different nested groupings
Umm, TRANSITIONAL FORMs have combined characteristics of different nested groups, Dougy. And your position expects numerous transitional forms. But Doug's biggest mistake was saying that phylogenies form a nested hierarchy- they don't as explained in the Knox paper- “The use of hierarchies as organizational models in systematics”, Biological Journal of the Linnaean Society, 63: 1–49, 1998. Even Darwin knew that if you tried to include all of the alleged transitional forms you couldn't form distinguished groups:
Extinction has only defined the groups: it has by no means made them; for if every form which has ever lived on this earth were suddenly to reappear, though it would be quite impossible to give definitions by which each group could be distinguished, still a natural classification, or at least a natural arrangement, would be possible.- Charles Darwin chapter 14
Nested hierarchies require distinct and distinguished groups- again see Linnaean Taxonomy. AND nested hierarchies are artificial constructs. So only by cherry picking would Common Descent yield a nested hierarchy. And I understand why the losers here don't want to discuss it. Zachriel, Alan Fox and John Harshman are also totally ignorant when it comes to nested hierarchies. Now I know why I was banned from the skeptical zone- so I couldn't refute their nonsense to their faces. This way they can continue to ignore reality and prattle on like a bunch of ignoramuses. Sad, really. Here is another hint from the Knox paper:
Regardless of what is eventually learned about the evolution of Clarkia/Heterogaura, the complex nature of evolutionary processes yields patterns that are more complex than can be represented by the simple hierarchical models of either monophyletic systematization or Linnaean classi?cation.
Notice the either or at the end? Only Linnaean classification is the objective nested hierarchy with respect to biology. And what does UC Berkley say about Linnaean classification?:
Most of us are accustomed to the Linnaean system of classification that assigns every organism a kingdom, phylum, class, order, family, genus, and species, which, among other possibilities, has the handy mnemonic King Philip Came Over For Good Soup. This system was created long before scientists understood that organisms evolved. Because the Linnaean system is not based on evolution, most biologists are switching to a classification system that reflects the organisms' evolutionary history.
and
*The standard system of classification in which every organism is assigned a kingdom, phylum, class, order, family, genus, and species. This system groups organisms into ever smaller and smaller groups (like a series of boxes within boxes, called a nested hierarchy).
It was based on a common design scheme. Dr Denton destroys the argument in "Evolution: a theory in crisis"- back in the 1980s.ET
March 30, 2018
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gpuccio I think you have made a good case for additional common descent but the lines of demarkation are still fuzzy to me. We had a discussion at TSZ around common design vs common descent where the key argument from the evolution side was the nested hierarchy. I think this is a weak argument however some of the guys over there are experts in this area so my opinion may be based on ignorance. I think you would agree that the eukaryotic cell is a separate origin event at this point given the information content of PRP8 gene and the overall size of the spliceosome along with the nuclear pore complex and chromosome structure. If you agree then we both don't support universal common descent. The question in my mind is how many separate origin events are there in the history of life. The following Venn diagram was introduced by Sal Cordova in the common design vs common descent argument. I named it Sals Flower :-) http://www.sci-news.com/genetics/article01036.html As you look at the diagram what your see are genes appearing in what appears to be a distant genetic relationship to humans and then re appearing. The evolution guys explain this as gene loss but with no real explanation how genes get lost and found. This flower is not what I would expect if all these species shared a common ancestor.bill cole
March 30, 2018
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asauber: "The implication being there is still the purpose, knowledge, and skill of making designed watches." Very true! :) It's strange how even Dawkins, in choosing the title for his famous book, had to borrow the image of a designer, however unable to see, to lend some credibility to his concept of evolution. Neo darwinists try to do that all the time: unguided evolution has become a person, a god, an artist, a genius, a saint, whatever. And its imaginary powers are continuosly "discovered" by some new scientific paper with unprecedented "amazement", "surprise", "awe" or other mystical experiences. And they are right! Each new thing that is discovered in those scientific papers does deserve amazement, surprise and awe, and has some of the aspects of a mystical experience, in a sense. What a pity that it's not their theory of evolution that did those things! :)gpuccio
March 30, 2018
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Or it's an oxymoronET
March 30, 2018
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“blind watchmaker”
ET, And if you think about it, a blind watchmaker is still a watchmaker. The implication being there is still the purpose, knowledge, and skill of making designed watches. Andrewasauber
March 30, 2018
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My apologies but this is too good not to post here. TSZ'z "entropy" is totally clueless:
All I know about some “blind watchmaker” is that such wording is in the title of a book by Richard Dawkins that I didn’t read (and that I have no intention to read). So you can go to hell with your demands for a defence of a book I didn’t read and I don’t care about.
LoL! It isn't just the name of the book. It is what Darwin proposed and what every evolutionary biologist since accepts. Here, you can end your clueless willful ignorance by reading what Jerry Coyne says: Natural selection and evolution: material, blind, mindless, and purposeless How ignorant are our opponents? Bill Cole- feel free to let entropy know how ignorant it isET
March 30, 2018
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gpuccio Thanks for the detailed response.
a) There is one original sequence which is incorporated into eacn new species at the moment of its creation b) That sequence has always the same nucleotides, including the same original synonimous sites c) From the moment the species is created, neutral variation changes synonimous sites accordign to time, while constrained sites are kept by purifying selection Have I understood well?
I would not say every new specie has a unique created genome as that would eliminate all speciation events which is not realistic. I also think you have shown here that this is very unlikely. The time element needs to include generation times as mutation is tied to reproduction. I will spend some time with the work you have done and respond soon.bill cole
March 29, 2018
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bill cole: Unfortunately, it does not work. Just one example. These are Ks value that I have just computed for ATP synthase beta chain, a very conserved sequence just from prokaryotes. Now, let's look at the vertebrate lineage: Human - Callorhincus milii: Ks = 1.34839615 Human - Danio rerio: Ks = 1.19113878 Human - mouse: Ks = 0.40751117 Human - chimp: Ks = 0.01580554 Now, if I understand you well, you are saying that those results, which are very well explained by common descent, could be also explained by something like that: a) There is one original sequence which is incorporated into eacn new species at the moment of its creation b) That sequence has always the same nucleotides, including the same original synonimous sites c) From the moment the species is created, neutral variation changes synonimous sites accordign to time, while constrained sites are kept by purifying selection Have I understood well? OK, that does not work. The time of appearance of one final species and the time of divergence of two lineages are two different things. For example, the human lineage diverged from bony fish when tetrapods appear, maybe 340 million years ago, but the species Danio rerio, which I have used in my computations as a bony fish, is certainly much more recent. It could probably have an age comparable with the age of the mouse. Yet, its Ks computed with the human protein is 1.19113878, while the Ks of the human - mouse comparison is only 0.40751117. It's the time of split between lineages which determines the Ks, not the age of the individual species. Let's look at a confirmation for that. Here are the Ks values for some non vertebrate species. These are all protostomia, so the time of split is the split between protostomia and deuterostomia, which is certainly older that the origin of vertebrates in deuterostomia. Let's say well beyond the 400 million years. Human - Drosophila: Ks = 1.81009369 Human - Apis mellifera (bee): Ks = 1.83476336 Human - Bombus impatient (bumblebee): Ks = 1.96105600 Apis mellifera - Bombus impatient: Ks = 0.41196043 Drosophila - Apis mellifera: Ks = 1.78977470 Now, you can see that the separation of diptera (flies) from hymenoptera (bees, wasps, ants) is rather old, and that can be seen in the high Ks. Instead, the separation between the two bees is rather recent, and the Ks is similar to the one we see between human and mouse. We are at about 100 million years. But the two bees are certainly rather recent species, the oldest bee fossil is at 100 million years. And yet, look at their Ks in the comparison to humans: 1.83476336 and 1.96105600 perfectly comparable to the Ks between Drosophila and humans: 1.81009369 Why? Because those species, even if they are rather recent species, share a very old separation from the human lineage: the protostomes - deuterostomes split. So, I would say that what we see in Ks is the effect of the time of split between lines, and not of the age of the species.gpuccio
March 29, 2018
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gpuccio
No. If the sequence has reamained so similar after 400 million years of separation for each line, and yet the synonimous sites change according to the separation times, how do you explain that?
The mutation was contained by purifying selection just as your hypothesis. Over 400 years it randomly mutated within that constraint. So we are looking at a sequence that mutated through a very tight constraint for 400 million years and the original "designed" sequence is unknown. Lets say as a working hypothesis that a highly conserved protein x always had the original DNA sequence when a new genome was introduced. What we then are looking at with saturation is comparing old genome to a new one.
But the synonimous sites (Ks) are completely different between sharks and humans, only partially different between mouse and humans, and very similar between chimp and humans. How do you explain that?
Common descent or genomes of different ages.
So you can say that the homologies are present because of common design. Not convincing, but possible.
In the case of common design they are present because of when the designed information originated and the time the genomes had to mutate.
But why would the designer “design” synonimous sites accordign to a gradient of similarity corresponding to time?
The working hypothesis is that the design mechanism used a standard blueprint and you are looking at the amount of time the standard sequence has had to mutate along the very constrained mechanism of purifying selection.
Why should the third nucleotides in codons, which are usually in great part non significant to the protein sequence, be so similar between chimps and humans (6 million years), less similar between mouse and humans (100 million years), and completely different between shark and humans (400 million years)?
The amount of time those genomes have been going through reproduction
I say that there is no reasonable explanation for that, if one denies common descent. If you have one, please let me know.
If we restrict our selves to material explanations then I agree but we are talking about 1000bit jumps in AA sequence information so we are probably discussing this outside spacetime anyway :-)bill cole
March 29, 2018
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DATCG at #513, I'm here, I'm here. :) Sorry I am just now seeing your post. The fact is that just after GP started this OP, I was happily following along, but then I got called away and lost ground with the conversation (which was moving very fast). I then got called away again and again, never completely catching back up. At one point my beautiful bride even gave me a quick ride to the hospital to visit their cath lab. :) So, I've downloaded several of the links and book-marked the page to catch back up. I do stand by what I said earlier, this is easily one of the best articles ever on UD. Great job. I'm sure we'll soon be hearing that it all came about by chemical affinities. :)Upright BiPed
March 29, 2018
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GP, your link in #532. Excellent!Upright BiPed
March 28, 2018
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bill cole: "What the data looked like at the origin is unknown to us." No. If the sequence has reamained so similar after 400 million years of separation for each line, and yet the synonimous sites change according to the separation times, how do you explain that? Let's say that a very conserved protein has almost the same non synonimous sequence in cartilaginous fish, in mouse, in chimp and in humans. But the synonimous sites (Ks) are completely different between sharks and humans, only partially different between mouse and humans, and very similar between chimp and humans. How do you explain that? Let's say for a moment that the sequence was "created" from scratch in all species. So you can say that the homologies are present because of common design. Not convincing, but possible. But why would the designer "design" synonimous sites accordign to a gradient of similarity corresponding to time? Why should the third nucleotides in codons, which are usually in great part non significant to the protein sequence, be so similar between chimps and humans (6 million years), less similar between mouse and humans (100 million years), and completely different between shark and humans (400 million years)? I say that there is no reasonable explanation for that, if one denies common descent. If you have one, please let me know. That common descent is universal or not is quite another problem, and much more difficult. But that common descent is rather pervasive (in the sense of guided common descent) is, IMO, undeniable. Exactly the same type of reasons that makes me believe so strongly in biological design makes me believe also (a little less strongly, maybe) in guided common descent.gpuccio
March 28, 2018
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