The virus-cell receptor interaction is one of the many arenas where the evolution of host-virus conflict can be studied. Because the virus-receptor interaction is essential for viral replication, host cells with a mutation in the receptor gene that prevents virus infection survive and eventually dominate the population. A virus could overcome this block with an amino acid change allowing binding to the altered receptor. Mutations that alter the interaction to favor the virus or the host are called ‘positively selected’ mutations. Such back-and-forth evolution between viruses and their host cells has been called host-virus arms races. Most have been identified by studying antiviral genes. This study is unusual in that it involves a housekeeping gene that has been usurped for viral attachment.
Evidence for positive selection of host genes can be detected by comparing gene sequences of phylogenetically related species. Nonsynonymous mutations lead to a change in the amino acid sequence, while synonymous mutations do not. The rate at which nonsynonymous mutations occur in the genome is typically much slower than synonymous mutations. The reason for this difference is that most mutations that change the amino acid sequence of a protein are lethal to the host. When genes have been subjected to positive selection by a virus, the ratio of nonsynonymous to synonymous mutations is higher, typically in host amino acids that interact with viral proteins. Computer programs have been designed to scan gene sequences and identify codons which are under positive selection by virtue of a high ratio of nonsynonymous to synonymous mutations.
To determine if the transferrin receptor (TfR1) has evolved to prevent virus attachment, sequences of the protein from seven different rodent species were compared. The analysis revealed that much of the protein is highly conserved, but a small part, comprising six amino acids, is evolving rapidly. Three of these amino acids are located on the part of TfR1 that binds arenaviruses, and three are at the binding site for the retrovirus mouse mammary tumor virus (MMTV) (see illustration). Changing these three amino acids of TfR1 of the house mouse, which is susceptible to MMTV, to the sequence found in TfR1 of the MMTV-resistant vesper mouse, blocked entry of the virus into cells. In turn, changing these three amino acids of TfR1 of the MMTV-resistant short-tailed zygodont to the sequence of the house mouse enabled virus entry into cells. None of these changes had an effect on ferritin binding by TfR1.
Evidence for positive selection can also be detected in viral genes encoding proteins that interact with the host. The arenavirus glycoprotein, GP, is known to bind to TfR1. Ten GP amino acids were identified that are under positive selection, and four of these directly contact TfR1.
These findings demonstrate that there has been an arms race between TfR1 and both an arenavirus and retrovirus. An interesting question is whether human TfR1 will enter into an arms race with arenaviruses. As these viruses emerge into the human population, it is expected that humans with mutations that make them less susceptible to infection or severe disease will be positively selected. Amino acid 212 of human TfR1, which is near the positively selected resides in murine TfR1, varies in the human population. When this amino acid change (leucine to valine) is introduced into TfR1, it confers some protection against arenavirus entry. Curiously, this polymorphism has only been found in Asian populations, where arenaviruses that bind TfR1 are not found. The polymorphism is probably neutral with respect to TfR1 function, and if TfR1-binding arenaviruses are introduced into Asia, this change could be positively selected.
Because all viruses depend on many host proteins for replication, it will be interesting to use this approach to see how other highly conserved cell proteins balance cell function with the ability to resist virus infections. There are like to be many cell proteins that cannot change to evade viral use without destroying their cell function. Fortunately for cells there are exceptions.
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Why don’t long-lived species like, say, redwood trees, succumb to viruses? Surely they have no chance to mutate quickly enough to participate in the “arms race.”
–bks
Hi bks,
This is Sara Sawyer at the University of Texas at Austin, the senior author of the paper being discussed. This is an excellent question! I wanted to take a minute to answer it personally.
Every species can participate in arms races, even redwoods! Imagine a forest of redwoods that grows up over thousands of years. Because trees often reproduce sexually, and because all genomes experience mutations over time, the trees in this forest will be similar but not completely identical at the genetic level. This is exactly the same with human beings, who are similar, but not identical, at the genetic level (except for identical twins).
Now imagine that a blight sweeps the forest and sadly kills 99% of the trees. A few might survive because they have genetic backgrounds that make them more resistant to infection than others. In a few thousand years, the offspring of these few trees will have made a whole new forest, one that is now resistant to the pathogen that caused that blight!
But, alas, the genomes of pathogens also experience mutation over time, and a new pathogen may arise that can wipe out the new forest. This new blight may again leave a few resistant survivors that will re-populate the forest and carry on the next round of the “arms race.†This whole process takes place over millions of years, so even though redwoods live a long time they are still subject to the same evolution that we observed in the rodent TfR1 receptor.
What happens if there are no trees in the forest that have a resistant genetic background? Well, in this case the trees could theoretically be driven to extinction, and pathogens probably do drive species to extinction on occasion.
Thanks for reading about our work and for posting your great question!
As Dr Alan Grant said in Jurassic Park – ” Life finds a way”.. Looking forward to your comments on the newly discovered Pandoraviruses.
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Hi, Anyone knows what’s the program’s name which can scan gene sequence and identify regions that under selection pressure? I am kinda looking for it for quite a while in order to conduct my research… Thank you in advance.
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