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At the same time, dozens of startups are using the technology for everything from global payments to music sharing, from tracking diamond sales to the legal marijuana industry . That's why blockchain's potential is so vast: When it comes to digital assets and transactions, you can put absolutely anything on a blockchain. A host of economic, legal, regulatory, and technological hurdles must be scaled before we see widespread adoption of blockchain technology, but first movers are making incredible strides. Within the next handful of years, large swaths of your digital life may begin to run atop a blockchain foundation—and you may not even realize it.

Beyond Bitcoin

Blockchain is the data structure that allows Bitcoin (BTC) and other up-and-coming cryptocurrencies such as Ether (ETH) to thrive through a combination of decentralized encryption, anonymity, immutability, and global scale. It's the not-so-secret weapon behind the cryptocurrency's rise, and to explain how blockchain came to be, we have to begin briefly with the legacy of Bitcoin.

On Oct. 31, 2008, Bitcoin founder and still-mysterious Satoshi Nakamoto (a pseudonym) published his famous white paper introducing the concept of a peer-to-peer (P2P) electronic cash system he called Bitcoin. The Bitcoin blockchain launched a few months later on Jan. 3, 2009.

For Jeff Garzik, it started the way many a buzzy idea in the tech community has over the years: with a post on "news for nerds" and OG tech aggregator Garzik is the CEO and cofounder of enterprise blockchain startup Bloq, but has spent years as a Bitcoin core developer. He was also recently elected to the Board of Directors of The Linux Foundation (as the first member with a blockchain and cryptocurrency background).

In July 2010, Garzik was working on Linux at enterprise software company Red Hat when what he calls "The Great Slashdotting" occurred. One viral post introduced programmers, investors, and tech nerd-dom at large to the concept of Bitcoin, and by extension, to blockchain. Garzik had always been fascinated with the goal of making seamless digital payments work on a global scale and across borders. When he realized how Bitcoin's underlying technology worked, he said it "knocked him on his bum."

"I had already thought to myself about how someone might create a decentralized version of PayPal. When Elon [Musk] and Peter Thiel and the other founders created PayPal, they had this vision of a global ledger that could easily and cheaply add entries between users like a database entry. That vision met reality with banking laws and cross-border friction, with legal hurdles and regulations not only in the U.S. but around the world. It made that kind of decentralized global currency impossible, or so we thought.

"Bitcoin turned all of that on its head," Garzik went on. "From an engineering perspective, the proof of work was this very elegant way to elect a leader, the block creator, in this decentralized and potentially adversarial system. Bitcoin layered on top of that engineering a set of economic and game-theory incentives that paid you in the script of the system itself, creating this virtuous cycle where it's in your best economic interest to to follow the consensus rules and create the longest, strongest chain possible. I didn't realize until that post on that day how elegantly it could be done."

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Most mammals with an intact repeat domain can be considered SKSD-rich. The exceptions include all currently studied primates, elephant, rat, and mouse. Thus, most superorders have both SKSD-rich and SKSD-poor animals suggesting that both sequence types are successful evolutionary pathways and that both textures may appear and disappear within evolutionary lines over time. A closer look at SKSD-rich repeat domains also uncovered textural differences. For example, the abundance and location of the dipeptide motifs (highlighted in pink, Figure 3 ) are useful to denote the differences and similarities of the repeat domain in these species. As was observed for the SKSD-poor domains, closely related mammals tend to have similar repeat textures. For example, cow and whitetail deer have long SKSD-rich repeats with many dipeptide motifs while their more distant relatives, pig and dolphin are also SKSD-rich but have significantly fewer dipeptide motifs.

The observation in older literature that the amino acid composition of DPP isolated from cow dentin was lysine-rich [ 10 ] compared to the DPP of rat [ 9 ] and human [ 37 ] dentin was the first indication of this evolutionary spectrum. Because both SKSD-rich (cow) and SKSD-poor (rat and human) DPP appear to be well phosphorylated, the presence of positive charges spaced along the repeat domain does not appear to change the outcome of kinase activities. However, verification by a single facility using purified DPP from the teeth of two or more species of each type would be required to definitively conclude that the extent of phosphorylation in both SKSD-rich and poor species is indeed equal.

The overall repeat always remained very acidic due to the presence of many aspartic acids and the presumably phosphorylated serines. Among all the species studied, however, there were some exceptions to the SSD repeat motif that went beyond the introduction of positive amino acids as in SKSD motifs or the loss of a single codon. There were surprisingly few substitutions of the otherwise chemically similar glutamic acid (E) for the aspartic acid (D) even though this substitution would require only a single basepair change. This suggests there was strong evolutionary pressure on retaining D over E amino acids. Because phosphorylation of serines also occurs near glutamic acid residues such as in the SSEE motif found in the early exons of many SIBLINGs, the restriction does not appear to be related to a simple requirement for phosphorylation. (The other acidic SIBLINGs (BSP, DMP1, and OPN) also permit many changes in their protein sequence but appear to have similar restrictions on changes between the two acidic amino acids within their respective acidic domains.)

There was also a curious lack of threonine (T) that could reasonably appear due to a single basepair change of a serine codon (AGC/T to ATC/T) within the repeat domain. Threonine is chemically very similar to serine (S) and can usually be phosphorylated by the same family of kinases so we would have predicted this to be a neutral substitution with respect to most biochemical properties of the phosphorylated DPP. Many species encoded one or two threonines near the 3' end of the repeat domain, but few species had any within the middle of the repeat. Perhaps the efficiency of cooperative phosphorylation along the complete length of the repeat domain by the appropriate kinase(s) could be hindered by intervening threonines, a hypothesis that can be tested in future experiments using DPP sequences that have specific T-for-S substitutions. Curiously, the single basepair change of the negatively charged D to the similarly sized and polar but uncharged asparagine (N) occurred so frequently in mammals that the SSN can be quite common within of the overall "SSD repeat" for most species.

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