楼主 (北美华人网)
大体上概括为: 一。新冠病毒的序列中的CGG-CGG,是gain of function常用的手段。目前自然界病毒中没有CGG-CGG,而且由进化生成极不可能 二。新冠病毒没有之前其他新病毒的流行特征。新的病毒刚刚传染给人类的时候,传染能力都很低,需要多代的进化,才能产生高传染力的变种。新冠一出手就是绝招,唯一的解释是在实验室利用人体细胞对病毒的传染性进行了多代的培育,出实验室的那天,已经是进化成高传染力的成熟病毒。
The possibility that the pandemic began with an escape from the Wuhan Institute of Virology is attracting fresh attention. President Biden has asked the national intelligence community to redouble efforts to investigate.
Much of the public discussion has focused on circumstantial evidence: mysterious illnesses in late 2019; the lab’s work intentionally supercharging viruses to increase lethality (known as “gain of function” research). The Chinese Communist Party has been reluctant to release relevant information. Reports based on U.S. intelligence have suggested the lab collaborated on projects with the Chinese military.
But the most compelling reason to favor the lab leak hypothesis is firmly based in science. In particular, consider the genetic fingerprint of CoV-2, the novel coronavirus responsible for the disease Covid-19. 
In gain-of-function research, a microbiologist can increase the lethality of a coronavirus enormously by splicing a special sequence into its genome at a prime location. Doing this leaves no trace of manipulation. But it alters the virus spike protein, rendering it easier for the virus to inject genetic material into the victim cell. Since 1992 there have been at least 11 separate experiments adding a special sequence to the same location. The end result has always been supercharged viruses.
A genome is a blueprint for the factory of a cell to make proteins. The language is made up of three-letter “words,” 64 in total, that represent the 20 different amino acids. For example, there are six different words for the amino acid arginine, the one that is often used in supercharging viruses. Every cell has a different preference for which word it likes to use most.
In the case of the gain-of-function supercharge, other sequences could have been spliced into this same site. Instead of a CGG-CGG (known as “double CGG”) that tells the protein factory to make two arginine amino acids in a row, you’ll obtain equal lethality by splicing any one of 35 of the other two-word combinations for double arginine. If the insertion takes place naturally, say through recombination, then one of those 35 other sequences is far more likely to appear; CGG is rarely used in the class of coronaviruses that can recombine with CoV-2.
In fact, in the entire class of coronaviruses that includes CoV-2, the CGG-CGG combination has never been found naturally. That means the common method of viruses picking up new skills, called recombination, cannot operate here. A virus simply cannot pick up a sequence from another virus if that sequence isn’t present in any other virus.

Although the double CGG is suppressed naturally, the opposite is true in laboratory work. The insertion sequence of choice is the double CGG. That’s because it is readily available and convenient, and scientists have a great deal of experience inserting it. An additional advantage of the double CGG sequence compared with the other 35 possible choices: It creates a useful beacon that permits the scientists to track the insertion in the laboratory.
Now the damning fact. It was this exact sequence that appears in CoV-2. Proponents of zoonotic origin must explain why the novel coronavirus, when it mutated or recombined, happened to pick its least favorite combination, the double CGG. Why did it replicate the choice the lab’s gain-of-function researchers would have made?
Yes, it could have happened randomly, through mutations. But do you believe that? At the minimum, this fact—that the coronavirus, with all its random possibilities, took the rare and unnatural combination used by human researchers—implies that the leading theory for the origin of the coronavirus must be laboratory escape.
When the lab’s Shi Zhengli and colleagues published a paper in February 2020 with the virus’s partial genome, they omitted any mention of the special sequence that supercharges the virus or the rare double CGG section. Yet the fingerprint is easily identified in the data that accompanied the paper. Was it omitted in the hope that nobody would notice this evidence of the gain-of-function origin?
But in a matter of weeks virologists Bruno Coutard and colleagues published their discovery of the sequence in CoV-2 and its novel supercharged site. Double CGG is there; you only have to look. They comment in their paper that the protein that held it “may provide a gain-of-function” capability to the virus, “for efficient spreading” to humans.
There is additional scientific evidence that points to CoV-2’s gain-of-function origin. The most compelling is the dramatic differences in the genetic diversity of CoV-2, compared with the coronaviruses responsible for SARS and MERS.
Both of those were confirmed to have a natural origin; the viruses evolved rapidly as they spread through the human population, until the most contagious forms dominated. Covid-19 didn’t work that way. It appeared in humans already adapted into an extremely contagious version. No serious viral “improvement” took place until a minor variation occurred many months later in England.
Such early optimization is unprecedented, and it suggests a long period of adaptation that predated its public spread. Science knows of only one way that could be achieved: simulated natural evolution, growing the virus on human cells until the optimum is achieved. That is precisely what is done in gain-of-function research. Mice that are genetically modified to have the same coronavirus receptor as humans, called “humanized mice,” are repeatedly exposed to the virus to encourage adaptation.
The presence of the double CGG sequence is strong evidence of gene splicing, and the absence of diversity in the public outbreak suggests gain-of-function acceleration. The scientific evidence points to the conclusion that the virus was developed in a laboratory.
还是那句话 每天一点点挤牙膏 每天一点点像那个结论靠近, 虽然还没有确凿的我证据
不懂就问: 啥叫更多证据支持实验室泄露说?
证据,如果还是大家理解的那个词,有效的话一个就够了,有就给出来, 别憋着,等10月怀胎么?
其他的猜测,你给1000个,它也就是猜测, 有意义么?
川普的德国投票服务器传的有鼻子有眼的, 讲100个故事没有证据就是个屁
不懂就问: 啥叫更多证据支持实验室泄露说?
证据,如果还是大家理解的那个词,有效的话一个就够了,有就给出来, 别憋着,等10月怀胎么?
其他的猜测,你给1000个,它也就是猜测, 有意义么?
川普的德国投票服务器传的有鼻子有眼的, 讲100个故事没有证据就是个屁

Silverwing 发表于 2021-06-06 22:39

fitzroy 发表于 2021-06-06 22:39

sayunyan 发表于 2021-06-06 22:34

Trump was right
文章里一点证据都没有看到,全是个人观点,不知道最后就怎么得出这个实验室泄漏的结论? 而且CCUCGGCGGGCA很早就知道导致covid19病毒传染力很强。 为啥这篇报道就变成了实验室泄漏的证据了呢? 而且CGG是 编码ARG比较常见的编码子 (21%),比其他几个密码子好像还要常见。在病毒里面随机突变出现也不是不可能啊。 CGT (8%) CGC (19%) CGA (11%)
文章里一点证据都没有看到,全是个人观点,不知道最后就怎么得出这个实验室泄漏的结论? 而且CCUCGGCGGGCA很早就知道导致covid19病毒传染力很强。 为啥这篇报道就变成了实验室泄漏的证据了呢? 而且CGG是 编码ARG比较常见的编码子 (21%),比其他几个密码子好像还要常见。在病毒里面随机突变出现也不是不可能啊。 CGT (8%) CGC (19%) CGA (11%)
fragcheng 发表于 2021-06-06 23:26

你说的,他们已经算出概率了,自然变异0.2%, 99.8%