| “Virons le virus” (Institut Merieux Benelux, 1991) |
One of the important drivers of influenza virus evolution is mixed infection: Infection of the same individual with two different strains of virus, which can then reassort to generate brand-new viral genomes. This presumably what happened, for example, with the recent swine-origin influenza virus (SOIV): some pig was simultaneously infected with North American swine flu and a Eurasian swine flu, the two reassorted so that two of the Eurasian virus’s segments joined with 6 of the North American segments, and the new virus thus produced turned out, just by chance, to be good at infecting humans.
Reassortment, notoriously, can generate rapid large changes in the personality of the virus. Pandemic influenzas have been reassortants, unrecognized by the population’s immune systems. But that’s not the only possible outcome; reassortants between closely-related viruses can lead to small changes, reassortants between two circulating strains would still be recognized by the immune response, and so on. Reassortment per se isn’t inevitably devastating, the big concern is reassortment between widely-differing viruses — human and avians strains being the major issue today.
I’ve tended to think of multiple infection and reassortment as quite a rare phenomenon. Reassorted influenza viruses appear and circulate relatively often, but not, you know, daily;1 and those are the product of millions upon millions of infected individuals. On the other hand, most reassortments are probably either dead on arrival (their different segments are simply not compatible) or at best very unfit (their different segments make them easily outcompeted by the wild flu that’s already well adapted to the individuals in question). That means we don’t know the frequency of reassortants, because most of them would be invisible to us.
I’ve also tended to think, perhaps naively, that multiple infections would be a little unusual, because the timing would have to be fairly precise. Viruses generally rely on a couple of days of relative peace (immunologically speaking) to quickly replicate and bank a virus load that then keeps pace with the increasing immune response. If Virus B tries to infect you a couple of days after Virus A is already present, Virus B is going to run right into the thick of the immune response to Virus A, never have that chance to bank its progeny virus, and you’d expect it to be quickly overwhelmed. So you probably need nearly simultaneous infections to get a real multiple infection.
| “Influenza is prevalent” (Chicago, 1918) |
But this is all speculation. A recent paper2 went out and actually looked for evidence of mixed infection in humans.3 They used previously-collected samples, and this is going to greatly underestimate the extent of mixed infection,4 but they did detect evidence of several mixed infections in their collection of over 1000 influenza samples. A plausible number they offer is about 0.5% of their samples — half a dozen individuals — were potentially mixed infections.5
(Later they suggest, as unpublished data, that the number may be as high as 3%. An important caution, that they don’t mention here, is that the 3% number is from influenza database analysis, and we know that these databases are not high quality — see On the accuracy of the influenza databases and the paper referenced therein6 — in fact, about 3% of the samples in the database are contaminated, so I don’t know if the present authors took this into account when interpreting evidence for mixed infections.)
However, sticking with the 0.5% figure — which is still remarkably high, and would represent tens of thousands of cases per year — they were able to look more closely at several of these samples and confirmed that they did, in fact, represent true mixed infections. This is another spinoff of the rapid, high-throughput sequencing that’s now becoming widely available. One patient, from New Zealand, was simultaneously infected with two viruses:
…one closely related to viruses cocirculating in New Zealand during 2004 and a second lineage that clustered with A/H3N2 viruses that became dominant in the following (2005) influenza season in the southern hemisphere 2
Another, in New York, was infected with two different influenza strains that are antigenically distinct — that is, viruses that would require different vaccines for protection. Remember that influenza vaccines are customized, year by year, to match up against the dominant circulating virus of that particular year. This patient would have needed two distinct vaccines to get adequate protection from his two infections.
A third, “even more dramatic” example was another New Yorker who was infected with two viruses that were not merely antigenically different, but that came from two distinct, broad groups — influenza A and influenza B viruses. I don’t think A and B can reassort, or at least the progeny would be very unlikely to be fit, but it illustrates that very mixed infection is quite possible.
It’s important to note that they were looking for mixed infection, not reassortment. Reassortment woud be much less common than mixed infection — you need mixed infectio nfor reassortment, but it’s not inevitable following mixed infection. Still, the background of mixed infection seems to be rather higher than I thought it would be.
In sum, we propose that mixed infection of diverse influenza viruses, a necessary precursor to reassortment, is a common occurrence during seasonal influenza in humans and will in turn accelerate the rate of adaptive evolution in this virus. In addition, intrahost populations of influenza virus will harbor genetic diversity generated by de novo mutation, which we have not assessed in the current study. As a consequence, we urge that intrahost sequencing be more routinely employed to assess the degree of genotypic and phenotypic diversity in populations of acute RNA viruses. With the advent of high-throughput next-generation sequencing platforms, viral variants are being much more explicitly revealed within specimens, and this type of data can be made available on a routine basis.2
- Offhand, actually, I don’t know how often reassortants have been identified. I’ll try to find that[↩]
- Ghedin, E., Fitch, A., Boyne, A., Griesemer, S., DePasse, J., Bera, J., Zhang, X., Halpin, R., Smit, M., Jennings, L., St. George, K., Holmes, E., & Spiro, D. (2009). Mixed Infection and the Genesis of Influenza Virus Diversity Journal of Virology, 83 (17), 8832-8841 DOI: 10.1128/JVI.00773-09[↩][↩][↩]
- It would probably be more interesting to look for mixed infection in swine, or wild ducks, but it’s only humans that have enough close attention to detect these relatively rare events.[↩]
- Most samples of a mixed infection are simply going to pick up the more abundant of the viruses present[↩]
- This comes with a large helping of caveats; it could over- or under-estimate the frequency. But it’s a reasonable starting point and they did confirm some of them.[↩]
- Krasnitz, M., Levine, A., & Rabadan, R. (2008). Anomalies in the Influenza Virus Genome Database: New Biology or Laboratory Errors? Journal of Virology, 82 (17), 8947-8950 DOI: 10.1128/JVI.00101-08[↩]
If I were infected by two completely different strains of flu a couple days apart, how much would the first ramping-up immune response help against the second strain of flu? Is just getting the innate defenses fired up in the nose and throat and lungs enough to keep the infection under control? It seems like I’d need the right Tc cells to actually clear the second infection, and until then, infected cells would be cranking out virus particles which would still be managing to spread to nearby cells in my lungs.
On the other hand, I gather H1N1 has displaced the seasonal flu in some places. I’d assumed the mechanism here was making people sick so they didn’t move around and spread the seasonal virus. Is it more likely to be this immune response?
I think you meant “came from two” where you wrote “same from two” in the paragraph:
‘A third, “even more dramatic” example was another New Yorker who was infected with two viruses that were not merely antigenically different, but that same from two distinct, broad groups — influenza A and influenza B viruses.’
Very interesting blog!
Marshall Hampton
Thanks, fixed the typo.
John –
If I were infected by two completely different strains of flu a couple days apart, how much would the first ramping-up immune response help against the second strain of flu?
I was thinking about innate defenses, especially interferon. Interferon (induced by many viral infections) induces a general anti-viral state on neighbouring cells and even systemically (it’s part of the fever response). Other cytokines similarly increase generic antiviral resistance. Almost certainly you do need an adaptive (T cell) response to eliminate the infection altogether, but the innate response generally markedly reduces viral replication. It’s telling that virtually every pathogen has some way of dealing with the innate response (often blocking interferon induction or inhibiting its effects) whereas viruses that block adaptive immunity are relatively unusual.
(Influenza viruses do block interferon responses in several ways, depending on strain, but as with most of these viral immune evasion strategies the blockade isn’t completely effective.)
Hi Ian,
Once again, you made it to my weekly “Picks of the week” of posts in molecular biology aggregated in ResearchBlogging.
You can check the post
Cheers,
-A
Ups… made a mistake in the html code…
here’s the link: http://bit.ly/tzkxU
[...] is one of the drivers of influenza virus evolution. How often are we infected with more than one influenza virus [...]
does “different” include viruses that differ at a single nucleotide ?
I assume these are the vast majority of mixed infections. Suppose
100 viruses enter the nose in a droplet how many of these will enter
a cell and replicate ? If two different of these viruses manage to find
a cell and replicate, they should generate approximately the same number
of progeny before a droplet is formed to infect the next host. But this droplet
is unlikely to contain viruses of both sorts since mechanical mixing of flu-viruses
in the body is presumably bad. If OTOH a mutation is created in the body, then
the original viruses are at least one replication-cycle (~8hours) ahead and
will likely outcrowd the mutated one.
Can we find an estimate how much % of infections start with at least
two different viruses in the first replication cycle ? I assume it's still
small, <10%. So basically one single virus per infection would typically
determine the big mass of progeny. Looking for a method to see this
in the sequences from the database…
Good questions. Off the top of my head, which isn't wise because the information is probably out there, I think that there's probably no such thing as two identical flu viruses (maybe I overstate, but not by much) – they exist as a quasispecies cloud. So if flu infection starts with more than one virus, then you're probably being infected by multiple different viruses. (However, note that in the case of HIV, which is certainly a quasispecies, it looks as if new infections usually do being with a single virus, and all the variability is lost at each new infection and has to start over).
But then recombination would look just like mutation — that is, the background mutation rate would be at least as likely to generate new sequences as would recombination of these two closely-related viruses. So it's almost pointless to even think about the scenario of co-infection with closely-related viruses, because you're not going to get out of it anything that you wouldn't get out anyway. If that makes any sense.
> Good questions. Off the top of my head, which isn't wise because the information is probably
> out there,
IMO it's wise to be possibly wrong rather than to avoiding the subject. It should be discussed,
elaborated,clarified.
> I think that there's probably no such thing as two identical flu viruses
> (maybe I overstate, but not by much) – they exist as a quasispecies cloud.
most flu-viruses (>90% in a host I guess) are still identical, genetically. We only see ~40 mutations
accumulated per year, one every 10 days. Most mutations are synonymous and selection
should have little effect.
> So if flu infection starts with more than one virus, then you're probably being infected by
> multiple different viruses.
more than one = multiple. Usually 2, I guess.
10-1000 viruses may enter the body, I read, but most times they are all cleared. And most are
identical (>99%) since they found their way into the same droplet.
(I'm speculating)
> (However, note that in the case of HIV, which is certainly a quasispecies, it looks as if
> new infections usually do being with a single virus, and all the variability is lost at each
> new infection and has to start over).
seems to happen in flu also (>80%,IMO). Else we should see more mutations.
I don't know much about other viruses.
> But then recombination would look just like mutation — that is, the background mutation rate
> would be at least as likely to generate new sequences as would recombination of these
> two closely-related viruses.
call it reassortment for flu. It should create virus-triples with mutations at
(A but not B)
(B but not A)
(A and B)
which should be rare without reassortment. What's the freuency of these triples in different
virus databases ?
> So it's almost pointless to even think about the scenario of co-infection with
> closely-related viruses, because you're not going to get out of it anything that
> you wouldn't get out anyway. If that makes any sense.
the difference between mutations acquired by coinfection of different viruses in the same droplet
and mutation during replication should be the better balance of the concentrations.
Mutations that happen in later replication cycles have to compete with all the viruses
from previous replication cycles. One cycle = 6-10 hours.
some links that I found:
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC274...
http://www.sciencedirect.com/science?_ob=Articl...
http://www.biomedcentral.com/1471-2180/3/11/
http://jcm.asm.org/cgi/content/abstract/48/2/369
http://jvi.asm.org/cgi/reprint/JVI.00773-09v1
a screening of the first 2000 influenza virus samples published on GenBank
for the IGSP (influenza genome sequencing project) show that approximately 3%
have some evidence of large-scale sequence polymorphism suggestive of
mixed infection.
http://www.iayork.com/MysteryRays/2009/08/28/in...
collection of over 1000 influenza samples. A plausible number they offer is about 0.5% of their samples — half a dozen individuals — were potentially mixed infections.5
http://www.iayork.com/MysteryRays/2009/05/18/on...
in fact, about 3% of the samples in the {flu-}database are contaminated
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC238...
Thus, up to 44 of 167 (26%) of isolates potentially represent mixed infections in the initial cloacal sample
Given the SLD procedure, the true rate of mixed infection, as defined by the presence of >1 HA and/or NA subtype, was likely to be
thanks for replying.
>> most flu-viruses (>90% in a host I guess) are still identical, genetically.
>> We only see ~40 mutations accumulated per year, one every 10 days.
>> Most mutations are synonymous and selection should have little effect.
>
> No, you're mixing two very different things up here. We only see 40 (or whatever)
> mutations accumulate per year in the flu population,
> after selection at the population level
which should be small for the majority of synonymous mutations
> and cycling through multiple hosts.
the virus won't know what host it is in
> But I'm talking raw mutation frequency, the error rate of the viral RNA polymerase;
> and that's very high.
very high = 3*10^-3 per position per year for flu-A, that's what you usually find.
I don't see why this can be much higher for a single replication cycle without
the mutations accumulating over the year
> It's long been known that the error rate is so high, in fact, that essentially every
> replication incorporates at least one error.
a replication in one cell may generate 10000 copies. How many of these contain at least
one mutation ? When you say : at least one, then I agree. But not more than 50%
> For example (one of many):
> there is a clear central tendency for lytic RNA viruses (bacteriophage Qfi, poliomyelitis,
> vesicular stomatitis, and influenza A) to display rates of spontaneous mutation of 1 per
> genome per replication
> –Rates of spontaneous mutation among RNA viruses. John W. Drake. Proc. Natl. Acad.
> Sci. USA Vol. 90, pp. 4171-4175, May 1993
hmm, 1993. Now we have genbank.
> That means that, far from 90% of viruses in a host being identical, essentially all flu viruses
> in a host are different.
it can't be. That's simple logics and not virology and I'd bet on it.
> Thanks for posting those links, but you'll notice that most of them are either things
> I've posted (including the post you're replying to), or papers I cited in those posts.
maybe. Just what I found when searching. Maybe I can complete/improve it later if you want.
very high = 3*10^-3 per position per year for flu-A, that's what you usually find.
I don't see why this can be much higher for a single replication cycle without
the mutations accumulating over the year
You're simply wrong. This isn't guesswork, it's basic virology.
hmm, 1993. Now we have genbank.
Oh, come on. I cited a 1993 article to show this is basic and has been known for decades. This is absolutely basic, first-year-undergraduate, virology — RNA-dependent RNA polymerases are highly error prone and make, as a reasonable average, one error per genome per replication, and therefore RNA viruses exist as a quasispecies, a cloud, not a single sequence.
it can't be. That's simple logics and not virology and I'd bet on it.
It can be. It's simple math and simple virology.
Vincent Racaniello has a good primer on the basic virology you might find useful. Check out “The error-prone ways of RNA synthesis” and the posts before and after it. As he says there (and again, this isn't airy hypothetical stuff, it's basic, fundamental, undergraduate stuff):
most flu-viruses (>90% in a host I guess) are still identical, genetically. We only see ~40 mutations
accumulated per year, one every 10 days. Most mutations are synonymous and selection
should have little effect.
No, you're mixing two very different things up here. We only see 40 (or whatever) mutations accumulate per year in the flu population, after selection at the population level and cycling through multiple hosts. But I'm talking raw mutation frequency, the error rate of the viral RNA polymerase; and that's very high. It's long been known that the error rate is so high, in fact, that essentially every replication incorporates at least one error. For example (one of many):
–Rates of spontaneous mutation among RNA viruses. John W. Drake. Proc. Natl. Acad. Sci. USA Vol. 90, pp. 4171-4175, May 1993
That means that, far from 90% of viruses in a host being identical, essentially all flu viruses in a host are different.
Thanks for posting those links, but you'll notice that most of them are either things I've posted (including the post you're replying to), or papers I cited in those posts.
very high = 3*10^-3 per position per year for flu-A, that's what you usually find.
I don't see why this can be much higher for a single replication cycle without
the mutations accumulating over the year
You're simply wrong. This isn't guesswork, it's basic virology.
hmm, 1993. Now we have genbank.
Oh, come on. I cited a 1993 article to show this is basic and has been known for decades. This is absolutely basic, first-year-undergraduate, virology — RNA-dependent RNA polymerases are highly error prone and make, as a reasonable average, one error per genome per replication, and therefore RNA viruses exist as a quasispecies, a cloud, not a single sequence.
it can't be. That's simple logics and not virology and I'd bet on it.
It can be. It's simple math and simple virology.
Vincent Racaniello has a good primer on the basic virology you might find useful. Check out “The error-prone ways of RNA synthesis” and the posts before and after it. As he says there (and again, this isn't airy hypothetical stuff, it's basic, fundamental, undergraduate stuff):
here I found a 3rd opinion:
http://www.cs.cmu.edu/~roni/ResearchGuide-Viral...
> All RNA viruses have roughly the same underlying mutation rate (~3 x 10^-5 errors per
> replication per base).
{are these nucleotides or amino acids ?}
3 times more than your 10^-4 but 10 times less than my 40/3/365/13000
Please, instead of taking some casual on-line approximation as a “third opinion”, look at the actual peer-reviewed literature that discusses the observations, how they're observed, weaknesses and strengths of each observation, etc. I've given you some references, Vince has given you some pointers if you read the article I linked to. There is simply tons of stuff on this, you don't need to resort to online throwaways. That claimed error rate is simply wrong, it's 10-fold off.
If you need more pointers, a useful starting point is Virus Res (2005) 107:141-149, which specifically explains why that error rate is a vast underestimate and gives a long list of determined error rates.
Oh, hell, I have it open anyway, I'll show it to you (I guess I can't include images in here, the table is here)
Please, do some real reading, and some thinking, before you post on this again. You are starting with a correct observation (the 40-ish per genome per year, on a population basis). Instead of using this to reject a fundamental fact of virology, you need to understand how the two observations are consistent, and what that means for natural selection on the virus. It's a very interesting and really profound connection, and you can't possibly understand influenza until you put these two facts together.