Erratum to: disrupting rhythms in Plasmodium chabaudi: costs accrue quickly and independently of how infections are initiated
© O’Donnell et al.; licensee BioMed Central. 2014
Received: 28 October 2014
Accepted: 5 November 2014
Published: 17 December 2014
The original article was published in Malaria Journal 2013 12:372
Some of the data in the article were inadvertently mislabelled. Specifically, for infections initiated with trophozoite stage parasites, the schedule “matched” treatment group was incorrectly analysed as “mismatched” and vice-versa. The data have been re-analysed and the effects of perturbing the schedules of parasites relative to the host circadian rhythm are more complex than presented in the original paper. However, the differences between initiating infections with ring stages versus trophozoite stages, and via intraperitoneal injection or intravenous injection remain unchanged. The affected sections of the paper (data analysis method, results, discussion) have been re-written and new figures drawn. The authors apologize for any inconvenience or confusion that this may have caused.
R version 2.6.1 (The R foundation for statistical computing; http://www.R-project.org; Vienna, Austria) was used for all analyses. General Linear Models were used to test how the perturbations of the route of infection, parasite stage, and co-ordination of parasite and host rhythms affected (i) the ability of parasites to establish infections (days 1 and 2 pi) and (ii) their overall performance to the peak of infections (cumulative density between days 1–7). Data for day 2 post-infection were log10 transformed to conform to the assumptions of normality. General linear mixed effects models were used to examine whether replication rate was affected by mismatch of host and parasite rhythms. This required fitting mouse identity as random effect to control for the non-independence of multiple data points from each infection. Maximal models contained all main effects and interactions, and models were minimised using stepwise deletion until only significant terms remained.
On day 1 (Figure 1a), infections via IV had significantly higher densities than via IP (F(1, 36) =12.90; P <0.001) and infections initiated with rings performed significantly better than infections initiated with trophozoites (F(1, 36) =13.40; P <0.001; R2 = 0.42). However, the densities of matched and mismatched parasite densities did not differ significantly (F(1, 36) =0.22; P =0.640). On Day 2 (Figure 1b), there were significant interactions between route of infection and parasite stage (F(1, 34) =5.04; P =0.031) and between parasite schedule and parasite stage (F(1, 34) =5.84; P =0.021; R2 = 0.52). Infections initiated with rings always had higher densities than infections initiated with trophozoites, and this difference was greatest when the route of infection was IP. Mismatch had a substantial negative effect on infections initiated with rings but not trophozoites (R2 = 0.52). These effects became more pronounced over the pre-peak phase of the infection (Figure 1c; R2 = 0.59): mismatch was costly (1.4 fold reduction) for infections initiated with rings but beneficial (1.6 fold increase) to those initiated with trophozoites (F(1, 35) =5.84; P =0.021), and higher parasite densities were always observed in infections via IV compared to IP (F(1, 35) =9.82; P =0.003).
Hosts lost RBCs throughout the pre-peak phase of the infection and the patterns mirrored parasite performance (Figure 1d; R2 = 0.52). Hosts infected via IV lost significantly more RBC (i e, had greater anaemia) than via IP (F(1, 35) =22.32; P <0.001). Again, there was a significant interaction between schedule and stage (F(1, 35) =6.35; P =0.016) in which hosts infected with matched trophozoites lost the least RBC.
It is easy to show algebraically that any small difference in parasite densities, such as the difference observed between matched and mismatched parasites by day 1 post infection, will increase at a rate proportional to the multiplication rate, even when each parasite produces the same number of progeny per cell cycle. If the initial densities of matched and mismatched parasites are p and p + ϵ, respectively, and the multiplication rate of all parasites is r, then after t days (rounds of replication) the density of matched and mismatched parasites will be r t p and r t (p + ϵ) and the difference in densities between matched and mismatched infections will have increased by a factor of r t (i e, from ϵ to r t ϵ). Even if multiplication rates change over time (i e, r changes over time, as is the case; Figure 2), as long as it is greater than 1, the difference between matched and mismatched parasite densities will increase as infections progress.
This experiment involved the simultaneous perturbation of coordination between host and parasite schedules, the stage of parasite inoculated, and the route of infection. The data show that mismatch to host rhythms is costly for P. chabaudi parasites regardless of the route of infection, but reveal that this phenomena depends on the developmental stage inoculated. The experiment also revealed that, as expected, ring stage parasites are generally more successful in establishing infections than trophozoite stages (which is presumably why, conventionally, ring stages are used to initiate experimental infections) and both stages benefit from being injected straight into the blood stream rather than having to negotiate their way from the peritoneal cavity to the blood (by an as yet unknown mechanism). Finally, the interaction between co-ordination of parasite and host rhythms and parasite stage may have consequences for virulence because mice in infected with matched trophozoite stages suffer less anaemia than mice in the other treatment groups.
This experiment, coupled with previous work, confirm that a phase-shift of between nine to 12 hours is detrimental for ring stage parasites and unexpectedly reveal that phase-shift is beneficial for trophozoite stage parasites. Moreover, further analyses reject the hypothesis that the costs of mismatch are due to processes that reduce the multiplication rate of parasites throughout infections, but instead, suggest that processes operating when parasites are establishing a blood stage infection are responsible. The lack of impact of time-of-day effects throughout infections cannot be explained by parasite schedules quickly adjusting to become synchronised with the host circadian rhythm. Staging parasites in blood smears verified that 3 days after inoculation parasites were maintaining their original developmental schedule (data not shown), and previous work suggests that if adjustment occurs, it takes at least 7 days[3–7].
That the effect of schedule mismatch is not influenced by the route of infection (IP or IV) is unexpected. Macrophages line the peritoneal cavity and have an autonomous 24-hour clock that regulates phagocytosis and the rhythmic secretion of TNF and IL-6 in response to infection, with peak activity late in the day[9, 15, 17]. Parasites – at any stage - administered via IP in the evening were, therefore, expected to experience a harsher environment than parasites inoculated IP in the morning. Furthermore, late-stage parasites are thought to be more susceptible to stress than rings, as suggested for fever (e g, heat shock disproportionately kills parasites in the latter half of the cell cycle[19, 20]). If such stressors included active macrophages then trophozoites would be more vulnerable than rings when inoculated in the evening via IP. This is not the case because whilst trophozoites perform better when inoculated in the morning, this was not restricted to the IP group (i e, the 3-way interaction between schedule, stage, and route was not significant).
It is beneficial for infections initiated with ring stage parasites to be in synchrony with their host’s rhythm and for trophozoites to be out of sync, regardless of the route of infection. The data presented here suggest mismatch impacts on the ability of ring stage parasites to establish infections, but not on their ability to multiply, and that the reduction in ‘starting number’ has a magnifying effect on density as infections progress. How different parasite stages are affected by synchronisation with the host, and why this is particularly important at the start of infections, also remains unknown. The answers to these questions may be revealed by directly testing whether parasite stages differ in their vulnerability to circadian innate effectors, if parasites have resource requirements that are only met at certain times of day, and how these processes are affected by parasite density. Unravelling the mechanisms that explain the differential effects of mismatch is necessary to determine whether the synchronicity and schedules of P. chabaudi cell cycles is under the control of parasites or hosts. Given that arrested cell-cycle development (quiescence) is implicated in tolerance to drugs[21–25], understanding what governs these schedules as well as the costs and benefits of adjusting them is important.
The authors thank P Schneider and G K P Barra for assistance, L Pollitt and D Kennedy for discussion, the Wissenschaftskolleg zu Berlin for a Fellowship (SR), and the Royal Society, the Wellcome Trust (082234), the Centre for Immunity, Infection and Evolution (095831), the HFSP, and an NSERC Discovery Grant (NM) for funding.
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