Toxoplasma gondii infects a broad range of hosts and can establish chronic infections with the formation of brain cysts. Infected animals show altered risk behaviour which has been suggested to increase capture probability of hosts, and thus enhance parasite transmission. It has been proposed that the ability of Toxoplasma cysts to secrete tyrosine hydroxylase could mediate these behavioural alterations. We tested the involvement of secreted tyrosine hydroxylase, coded by the parasite AaaH2 gene, in the development of alterations in mouse behaviour, by generating an AaaH2 deletion mutant parasite strain and testing its influence on behaviour. We found that both mice infected with wild type or AaaH2 mutant strains showed changes in risk behaviour. We confirmed these findings using factor analysis of the behaviour, which revealed that behavioural changes happened along a single dimension, and were observed in both infected groups. Furthermore, we developed a new behavioural paradigm in which animals are unpredictably trapped, and observed that both groups of infected animals perceive trapping but fail to adjust their behaviour to avoid further trapping. These results demonstrate that parasite-secreted AaaH2 TH is neither necessary for the generation of risky behaviour nor for the increased trappability observed during chronic Toxoplasma infection.
The protozoan parasite Toxoplasma gondii has the ability to infect numerous animals, such as mammals (including humans) and birds. Infection by this organism is one of the most predominant in the world1 and, because of its wide host range, this parasite is generally considered as one of the most successful pathogens among eukaryotes. The parasite’s life cycle is complex, involving two types of hosts: definitive and intermediate. Felines are the only definitive hosts and sexual parasitic reproduction happens exclusively in this animal group, resulting in contamination of the environment after excretion of infective Toxoplasma oocysts in feline faeces2. The majority of parasite propagation happens within the intermediate host population, by consumption of infected plant food (herbivores) and meat (carnivores) or by vertical transmission from mother to progeny. Once inside a new host, the parasite multiplies asexually into freely moving tachyzoites. These will infect various cell types (neurons being one of the most frequent) and differentiate into bradyzoite-containing cysts, which persist chronically3.
Mice and rats are naturally infected by this parasite and infection results in cyst formation in rodent brains and production of a number of modifications in these hosts’ behaviour (reviewed in ref.4). These modifications are diverse and range from reduced avoidance of feline odour5 to increased activity6 and trappability7, and also changes in the microstructure of exploratory behaviour and risk/unconditioned fear8,9. These changes would impact normal defensive responses of the host and, because of this, it has been proposed that they are beneficial for the parasite, underlying the increase in capture probability described in rodents7. This would then result in facilitation of parasite transmission to subsequent hosts, thus arguing for parasite manipulation of host behaviour. Additionally, studies have shown that this parasite depends mainly on clonal expansion within the intermediate host animal group rather than sexual reproduction in the definitive cat host10. This highlights the evolutionary importance of parasite transmission between intermediate hosts.
The consistent occurrence of brain cysts together with the simultaneous emergence of changes in normal behaviour raises the possibility that the presence of the parasite could produce changes in neuronal activity. One possible way to modulate neuronal activity is by acting directly on neurotransmitter metabolism, and a growing body of evidence supports the ability of parasites to manipulate host dopamine levels. An original study first described an increase in dopamine levels in Toxoplasma-infected mouse brains11, presumably in a cell-autonomous way since in vitro infection of dopaminergic cells (PC12) results in increased dopamine synthesis and release12,13. Control of host cell dopamine synthesis could derive from the parasite, as analysis of Toxoplasma gondii genome identified 2 genes (AaaH1 and AaaH2) encoding tyrosine hydroxylase (TH), which contains a N-terminal secretion peptide14. This enzyme is involved in catalysing the conversion of L-tyrosine into dopamine’s precursor molecule L-dihydroxyphenylalanine (L-DOPA). The AaaH1 gene is constitutively expressed in both tachyzoites and bradyzoites whereas AaaH2 expression is uniquely upregulated in bradyzoites (cysts)14. Together, these observations raise the hypothesis that AaaH2 TH can modulate host dopamine levels during chronic infection, and that this modulation affects host behaviour.
Parasite-derived TH has been observed outside individual bradyzoites but still inside cysts12, most likely as a consequence of export driven by the secretion peptide. Furthermore, a recent study has reported that host cell DOPA decarboxylase (DDC), the enzyme that uses L-DOPA as a substrate to directly produce dopamine, is also recruited to tissue cysts13. This ability of the parasite to produce/recruit the two enzymes necessary for dopamine production further supports the possibility of Toxoplasma-driven synthesis of additional dopamine. Additional support for the hypothesis that infection results in increased dopamine levels in the host comes from the changes in behaviour observed in mice where the dopamine transporter DAT has been deleted15. These mutant mice show high levels of extracellular dopamine and display behaviour changes similar to the ones observed during Toxoplasma chronic infection (increased locomotor activity, lack of habituation to novel environment). However, reports of the effects of Toxoplasma infection on dopamine metabolism are not without controversy. In at least three independent studies16,17,18, authors failed to observe an effect on host dopamine levels or reported a reduction in this neurotransmitter levels19 in chronic parasitic infection. Furthermore, neither overexpression nor deletion of the AaaH2 gene from infective parasites had any impact on dopamine levels in vitro or in vivo18. Regardless of whether parasites can affect host dopamine levels through AaaH2-driven TH production, it still remains to be determined whether this enzyme contributes to the production of the host behavioural changes.
The aim of the present study was to investigate whether the AaaH2 gene, via secretion of tyrosine hydroxylase, is necessary for the establishment of Toxoplasma-induced behavioural modifications. To address this, we generated a new strain of Toxoplasma where the AaaH2 gene was deleted, and compared the behaviour of mice chronically infected with the AaaH2-deletion strain and its parental counterpart. We observed that both parental and mutant strains produced changes in host behaviours related to risk/exploration, in two different setups, with no substantial differences observed between infected groups. We confirmed these findings by performing factor analysis on the behavioural variables measured, showing that behavioural changes happen along a single dimension, with no distinction between infected groups.
Additionally, we investigated whether some of these changes in behaviour stemmed from an inability of infected animals to perceive environmental risk or rather from a failure to activate defensive behavioural programs. We developed a new behavioural paradigm, in which animals were unpredictably trapped and we compared individual performance before and after this environmental challenge. We show for the first time that Toxoplasma-infected animals were capable of perceiving the trapping event, but were not able to adapt their behaviour accordingly; this was observed irrespective of animals being infected with parental or mutant strains.
Taken together, these results indicate that parasite AaaH2 TH is not necessary for the generation of the behaviour changes observed in Toxoplasma chronic infection.
AaaH2 TH mutant parasite exhibits the same infection dynamics as the parental strain
To determine whether parasite-derived AaaH2 TH was involved in the behaviour modifications induced by Toxoplasma infection described in previous reports (reviewed in ref.4), we generated a mutant version of the parasite, in which the AaaH2 gene is absent. This involved a targeted replacement of the entire gene by the coding sequence for dihydrofolate reductase (DHFR), a protein which confers resistance to the drug pyrimethamine (Fig. 1A and Materials and Methods). This strategy used the parental strain ME49BAG1/EGFP as background (referred to as TgWT). Subsequent PCR analysis confirmed that one parasite clone (TgAaaH2KO) had both the AaaH2 gene deleted (Fig. 1B, left panel) and replaced by the DHFR marker (Fig. 1B, right panel).
Since TH is also encoded by an additional gene (AaaH1)14, it’s theoretically possible that a functional compensation occurs in parasites where the AaaH2 gene has been deleted. This would be reflected as an upregulation of the AaaH1 gene in the mutant parasite strain. To determine whether AaaH1 gene expression was altered in the mutant parasite strain, we performed qPCR experiments on differentiated bradyzoites (cyst stage parasite) and found no alteration in AaaH1 expression in TgAaaH2KO bradyzoites (Fig. 1C).
Additionally, a plaque assay revealed that no differences were found in terms of infection efficiency and parasite viability between TgAaaH2KO and the parental strain TgWT (Fig. 1D). We then used tachyzoites to intraperitoneally infect C57BL/6 J female mice and followed the infections for 8 weeks. Infected animals (irrespective of the infective parasite strain) displayed acute weight loss over the first 2 weeks (Fig. 1E), whereas non-infected animals (saline group) did not. Over the course of the following weeks, infected animals recovered to close to their pre-infection weights, but always weighed significantly less than control animals (Fig. 1F).
The presence of cysts formed after infection with TgWT and TgAaaH2KO strains was also investigated (Fig. 1G). Entire infected brains were sliced, analysed and cysts were found in both TgWT and TgAaaH2KO-infected animals, with no reduction in cyst numbers between infected brains and even an observed increase.
These data demonstrate that chronic infection with TgAaaH2KO strain still displays the same overall dynamics as the wild type (parental) strain (TgWT) and thus, parasite AaaH2 TH is not necessary for acute or chronic infection in C57BL/6 L mice.
Parasite-derived AaaH2 TH is not necessary for exploratory locomotion changes in infected animals
To determine whether parasite AaaH2 TH is involved in producing the alterations in exploratory behaviour previously described by our group during Toxoplasma infection9, we infected animals with individual parasite strains and compared their performance in an open field (OF). Animals were placed in the center of a square open arena, which constituted a novel environment with exposed and non-exposed zones (center and border, respectively) and their behaviour was recorded for 10 min. This test revealed that, similar to what was observed in TgWT-infected animals, mice infected with the mutant parasite strain travelled longer distances relative to the control group (Fig. 2A), and at higher speeds (Fig. 2B). Additionally, contrary to what was observed in the control group (where there was a marked reduction in locomotion over the test period (habituation)), both groups of infected animals displayed a smaller decrease in locomotion and failure to habituate to the environment (Fig. 2C). This was reflected also in the reduction of individual, minute-to-minute performance variability (distance travelled), as indicated by lower coefficients of variation (CV) for both infected experimental groups, relative to controls (Fig. 2D).
Previous work has suggested that an increase in locomotion during chronic Toxoplasma infection was reflected in an altered structure of exploratory movement9, so we investigated whether this aspect was also altered in TgAaaH2KO-infected animals. The number of movement bouts displayed by both infected groups was reduced relative to controls (Fig. 2E), with no difference in bout duration (Fig. 2F). Bout frequency analysis also demonstrated that TgAaaH2KO-infected animals organized exploratory locomotion in the same way as TgWT-infected mice. This was characterised by a decrease in the number of short bouts in parallel with an increase in longer duration bouts (Fig. 2G).
The results described above show that the major alterations in locomotion observed in chronically infected C57BL/6 L mice (increased locomotion, higher speeds, reduced habituation and performance variability, and a re-organization of movement structure in a novel environment) are independent of parasite-secreted AaaH2 TH.
Toxoplasma-induced changes in exploration in exposed/non-exposed areas are not dependent on AaaH2 TH
As described in our previous study, the changes in movement structure extend to the two specific zones that can be defined in the OF (center - exposed versus border – non-exposed), with infected animals behaving differently from controls when in these areas9. To investigate whether the absence of AaaH2 TH in the infective parasites would impact this area distinction, we analysed the spatial distribution of locomotion. We found that C57BL/6 L infected mice (irrespective of the infective strain) displayed increased locomotion in the border (Fig. 2H) and, when in the center area, moved at higher speeds (Fig. 2I) compared to controls. Center area behaviour was also distinct in these animals in that they spent more time engaged in locomotion (Fig. 2J), and also showed reduced number of non-locomoting periods (episodes of no horizontal movement, including grooming, rearing, etc) (Fig. 2K).
Overall, these results indicate that the particular behaviour of infected animals in distinct areas of the open field does not depend on parasite-derived AaaH2 TH.
Parasite-induced changes in the response to exposed areas are independent of AaaH2 TH
The results above describe a differential behaviour of infected animals in exposed areas, which might reflect differences in the ability to asses risk or in fear responses. To address this, we used the elevated plus maze (EPM) to probe for alterations in fear/risk responses (reviewed in20 and used in9). This test takes advantage of mice’s innate fear of open, potentially unsafe spaces (open arms, OA) and highlights a bias for occupation of enclosed, protected areas (closed arms, CA).
Similar to what was observed in the OF test, TgAaaH2KO-infected animals’ behaviour in the EPM was indistinguishable from that of TgWT-infected mice. Animals in both groups showed higher and faster locomotion (Fig. 3A and B) relative to controls. The observed increased locomotion derived mainly from higher locomotion values in the open arms (Fig. 3C). Additionally, the expected occupancy bias between closed and open arms was present in controls, with animals preferring CA over OA (Fig. 3D). This preference was absent in both infected groups (Fig. 3D) and also reflected in equal duration of visits to the two arm types (Fig. 3E). Finally, infected animals travelled more often to the most distal part of the open arms, in a way that can be considered highly risky/fearless (Fig. 3F).
These data indicate that risky behaviour/unconditioned fear responses observed in C57BL/6 L infected animals are not affected by the absence of the parasite-derived AaaH2 TH.
Changes in behaviour are organized along specific dimensions
To reduce the complexity of the collected behavioural data and reveal possible hidden data structure, we used factor analysis. This allowed us to gain an unbiased insight into the behavioural dimensions that were being modified during chronic infection with TgWT parasite strain and its AaaH2 TH mutant counterpart. We identified five factors (dimensions) which represented the primary behavioural parameters being measured in the OF and EPM tests. These five factors accounted for 84.3% of the variance present in the data and factor loadings are depicted in Fig. 4A. The factor that explained the highest variance percentage (Factor 1, 22.4%) was negatively loaded by variables related to the absence of horizontal displacement and structure of movement. Factor 1 also contained positive loadings in variables that described general locomotion and thus this factor may reflect the structure of exploration/locomotion. The second extracted factor (Factor 2) accounted for 19.4% of the variance and was positively loaded exclusively by variables that represented features measured in the EPM test. Therefore, we considered that this factor described alterations in risk/unconditioned fear behaviour. The third factor (Factor 3) explained 19.4% of the variance and the significant variables that were positively loaded in this factor represented different aspects of horizontal movement in the two areas of the OF (center and border). This suggests that this factor likely reflected general area locomotion. Factor 4 represented 16.1% of the variance and the significant variables positively loaded in this factor corresponded to behaviours in the center zone of the OF. This indicates that this factor characterized behaviour in the exposed zone of the open field test (center). Finally, Factor 5 accounted for 7% of the variance and was positively loaded by variables corresponding to behaviours in the open arms of the EPM, with a corresponding negative loading in the closed arm-related component. This factor was considered to be mainly characterizing behaviour in the exposed area of the EPM.
To extend our understanding of the behavioural data structure, we analysed the distribution of the behavioural variables in bi-dimensional spatial representations of the first three factors (dimensions) (Fig. 4B,C). These analyses demonstrated that behavioural variables were aggregated spatially along the factor axes (ellipses), reflecting their close relatedness. Furthermore, this representation revealed that indeed Factor 1 discriminated between absence (high negative loadings, green ellipse) and presence (high positive loadings, green ellipse) of horizontal movement (features associated with locomotion structure). On the other hand, Factor 2 differentiated relevant behaviours between open arms (high positive loadings, gray ellipse) versus closed arms (high negative loadings, grey ellipse) in the EPM test (reflecting risk/unconditioned fear). Finally, Factor 3 allowed the distinction between movement description characteristics (such as distance travelled or speed, blue ellipse) and actual behaviours in the center of the OF (high negative loadings, blue ellipse).
After the above description of the structure underlying the behavioural data, we next examined the spatial distribution of individual animals in the tridimensional space defined by Factors 1, 2 and 3. This was done by plotting each animal’s scores in each of the first three dimensions/factors (Fig. 4D). We observed distinct spatial distributions within each group and we next determined whether it would be possible to discriminate the three experimental groups based on the individual scores on the five identified factors (Fig. 4E). Our analysis showed similar scores between experimental groups for Factors 1, 3, 4 and 5. Strikingly, both TgWT and TgAaaH2KO-infected animals displayed significantly different loadings, relative to controls, for Factor 2, which represented the structure of risk/unconditioned fear behaviour. However, no differences were detected between the two parasite infected groups.
The results described above demonstrate mathematically that the scored behaviours are structured along specific dimensions (factors) and that parasite infection mainly results in deviations from normality in the risk/unconditioned fear behaviour, in an AaaH2 TH-independent way.
Chronically infected animals are sensitive to trapping but react inadequately, irrespective of infective parasite strain
The behavioural data collected in the EPM allowed us to demonstrate that parasite infection (with either TgWT or AaaH2 TH mutant strains) resulted in changes in risk/unconditioned fear behaviour (mathematically corroborated by the factor analysis described above). This is in accordance with previous reports that Toxoplasma infection renders animals more susceptible to being trapped7. We therefore designed a test where we could submit animals to trapping events in the laboratory, and observe the subsequent changes in behaviour.
Animals were placed in one of two boxes connected by a tunnel (Box A, Fig. 5A, left panel) and tunnel access was granted by opening all dividing doors. Animals crossed the tunnel 5 times until two of the doors were closed (middle door and tunnel end door), trapping the animal inside a small section of the tunnel. After a 6-minute trapping period, animals were released by opening the doors (Fig. 5A, right panel, see Materials and Methods). This experimental design permitted within-animal comparison of the behaviour before and after the trapping event.
Infected animals were faster in completing the entire test (5 crosses followed by a 6 min trapping period and execution of 5 additional crosses) (Fig. 5B). Additionally, analysis of the time that control animals took to re-enter the tunnel after trapping showed a latency increase in the first entry immediately after trapping (entries #6 vs #7, Fig. 5C, left panel). This is consistent with a reluctance to re-enter the space where trapping was experienced. The increase in latency to enter the tunnel after trapping was not observed in infected experimental groups (independently of parasite strain), with animals displaying similar (low) latencies throughout the test. This lower entry latency relative to controls was observed in infected animals as early as the very first tunnel entry (Fig. 5C, right panel).
Once the trapping period was over, the doors opened, releasing the animal. Interestingly, infected animals exited the tunnel faster than control animals (Fig. 5D), only to re-enter it faster too (Fig. 5C, left panel). We also compared how much time animals spent in each cross, before and after trapping (Fig. 5E). All experimental groups showed an increase in this parameter after trapping, indicating that all groups, irrespective of infection status, were sensitive to the trapping event, and reacted to it by taking longer to cross the tunnel. However, infected animals were faster than controls in the first cross after trapping (entry #7). Interestingly, the tunnel crossing speed was similar between all groups, with an equivalent reduction in speed following trapping (Fig. 5F).
During the 6-minute trapping period, animals were only able to move forward or backward within the confined space of the tunnel. We quantified the number of visits to each end of the tunnel (reflecting forward and backward movements) and infected animals displayed a higher drive to move forward than controls (Fig. 5G). To extend the analysis of animal movement during trapping, we defined a point halfway through the enclosed tunnel section and scored how many times animals crossed this point (midpoint). This allowed for the tracking of movement over trapping time. Overall, no statistically significant difference between groups was found in total number of enclosed section midpoint crosses (Fig. 5H). However, this metric does not capture finer movement dynamics so we next analysed how the number of midpoint crosses were distributed over time. All animals displayed high movement, which then decreased as time progressed (Fig. 5I). To further characterize this reduction, we divided the trapping time into two periods: early (first 2 minutes of trapping period) and the remaining trapping time (4 minutes) and scored the number of midpoint crosses in these two periods. Overall, we found that animals in all experimental groups did indeed decrease their movement as trapping time elapsed (Fig. 5I and J), but the movement plots also suggested that this reduction evolved differently over time in infected animals. To clarify this, we determined the magnitude of the reduction in movement by calculating the ratio of number of midpoint crosses in early trapping versus the remaining trapping time (Fig. 5K). Although statistical analysis of this calculation did not reach significance (Table S1), it showed that infected animals have a smaller ratio relative to controls (reduction to half of the control values). This smaller ratio reflects a more uniform, constant movement throughout trapping time.
Overall, these data demonstrate that Toxoplasma-infected animals react differently to a trapping event compared to control animals. These findings suggest that infected animals might be more likely trapped in real world environments and the underlying behavioural changes do not require AaaH2 TH to be present in the parasite.
In this study, we tested the involvement of parasite-derived AaaH2 TH in the behaviour modifications that occur in Toxoplasma chronic mouse infection. We removed the AaaH2 gene from the parasites’ genome and demonstrated that this deletion has no impact in expression levels of the paralog AaaH1 gene. Additionally, we established that the progression of mouse infection over time is indistinguishable between parental and mutant parasite strains. Moreover, AaaH2 TH deletion did not prevent cyst formation, demonstrating that this enzyme is not necessary for in vivo cyst differentiation, consistent with recent reports for cyst growth in in vitro and in vivo conditions21,22. In fact, one recent study demonstrates that AaaH2 TH does have a role in the parasite’s life cycle but in oocyst development within the cat host and may not relevant for infection of intermediate hosts (such as mice)22.
We compared the behaviour of animals chronically infected with both parasite strains using two distinct behavioural paradigms. Analysis of exploratory locomotion revealed that mice infected with the mutant parasite strain still exhibited behaviour changes. These changes were comparable to those induced by parental strain infection, with animals moving more, faster and reducing the number of shorter bouts in favour of longer ones. Additionally, all infected animals behaved similarly in relation to novel, exposed areas, with a general loss of the cautious behaviour observed in control animals, as indicated by the reduction of unconditioned fear and increase in riskier behaviours. All of these very robust behaviour modifications were generated despite the overall low numbers of brain cysts. This demonstrates that behavioural modifications following parasite infection do not depend on high cyst numbers and further supports the idea that this is not a unidimensional phenomenon.
We extended the behaviour analysis to establish that behaviours were clustered along five specific dimensions/factors. Furthermore, we demonstrated that infected mice were different from non-infected animals in a single factor, which represented the structure of risk/unconditioned fear behaviour, independently of infective strain. It would be expected that the changes in exploratory locomotion, observed in infected animals during the open field test (see Fig. 2), would also be reflected in this mathematical analysis. One would expect that scores for the factor which represents the structure of exploratory locomotion would allow discrimination of infected from non-infected experimental groups. However, no differences were found, suggesting that the modifications in locomotion mostly reflect a general reduction in the risk/unconditioned fear behaviours (and not other locomotor alterations like hyperactivity, for example).
All the data presented so far demonstrate that mice chronically infected with Toxoplasma parasites will behave differently in exposed environments, deviating from the expected cautious/defensive behaviour. However, it has not been possible to determine whether these changes stem from a distorted perception of risk in the environment or from an inability of infected animals to adjust the behavioural responses appropriately. To clarify this, we developed a new behavioural paradigm in which animals were subjected to an unpredictable external event (trapping), within the same single test, and their resulting behaviour was observed. We showed that all animals can perceive the event as aversive since individuals in all three experimental groups took longer to cross the tunnel after being trapped. However, infected animals were not able to modulate further entries, showing no differences in entry latencies before and after trapping, whereas control animals were reluctant to re-enter the tunnel after trapping. Additionally, infected animals completed this test faster by, following trapping, exiting the tunnel quicker and re-entering it sooner. When trapped, these animals also moved forward more frequently and showed more uniform movement over time. This indicates that infected animals are actually in a different behavioural state that may reflect a drive to maintain forward movement. This is, to our knowledge, the first demonstration that infected animals are sensitive to an unpredictable challenge in the environment, but show difficulty in adjusting their behaviour afterwards.
The present study demonstrates that parasite-secreted TH (resulting from AaaH2 gene expression) is not necessary for the generation of the host behaviour modifications observed in Toxoplasma chronic infection. This fact makes it hard to argue that the ability for the parasite to manipulate dopamine metabolism is the one mechanism through which these changes occur. There is mounting evidence that chronic infection impacts multiple physiological dimensions in the host organism, not only locally (neuronal structure) but also more globally (peripherally-triggered immune responses)23. These local and global effects can directly or indirectly impact the regulation of neurotransmitters other than dopamine (serotonin, GABBA, glutamate) and, consequently, neuronal function. It seems likely then that the host behavioural phenotypes observed in Toxoplasma chronic infections are the net products of a complex interplay between distinct processes which might not involve dopamine dysregulation.
All of the considerations above highlight the complexity of behaviour manipulation following parasitic infection and the need for studies which integrate different biological dimensions. Clarification of their mechanistic contributions to host behaviour is therefore fundamental. It will also be important to determine whether these behaviour modifications are present in mouse models more resistant to parasitic infection and even in other known rodent hosts, such as rats.
All experimental procedures were reviewed and approved by the Animal Welfare Body (ORBEA) and reviewed by the Portuguese Veterinary General Board (Direcção Geral de Veterinária, approval ID Ref. No. 0421/000/000/2014), in accordance with FELASA (Federation of European Laboratory Animal Science Associations)’s recommendations regarding the care and use of laboratory animals.
Mouse and parasite strains
These studies used female C57BL/6 J mice (The Jackson Laboratory, Maine, USA), aged 7 weeks.
A genetically modified type II strain of Toxoplasma gondii (ME49BAG1/EGFP) was used, expressing green fluorescent protein (GFP) driven by the cyst-stage specific BAG1 promoter, as previously described24. To generate the vector for the AaaH2 gene deletion in the ME49BAG1/EGFP strain background, we first amplified fragments of 3070 and 2995 bp upstream and downstream of the ATG and STOP codon of the AaaH2 gene, respectively, using the Phusion polymerase (New England Biolabs). The primers used to amplify the 5′ sequence/arm were F1 KpNI (5′GACTGGTACCAAGATAGAGTGGCGTATGTGTCCAAGC3′) and R1 HindIII (5′GACTAAGCTTGAATGCGTTACGGTGATCGGAGACATAC3′). To amplify the 3′ sequence/arm, the following primers were used: F2 BamHI (5′GACTGGATCCAGACACTGTATCTCTACTTTGCATTC3′) and R2 NotI (5′GACTGCGGCCGCGAATTCGGATGAGTCACCCAGTGCATGC3′). The 5′- and 3′-arms were then cloned upstream and downstream of the dihydrofolate reductase protein (DHFR) expression cassette, respectively, using the KpNI/HindIII and BamHI/NotI restriction sites25. The selectable marker DHFR confers resistance to the drug pyrimethamine. In order to identify and exclude parasites with the AaaH2 knockout cassette integrated by single instead of the double crossover (which is necessary for full AaaH2 gene deletion), we cloned a tubulin/EGFP cassette upstream of the AaaH2 5′arm using the ScaI/KpNI restriction sites. If a single 5′ integration event occurs (and not the intended 5′-3′ double integration), green fluorescent tubulin will be expressed. Before transfection, the linear DNA fragment tubulin/EGFP_5′ARM Aaah2 -DHFR-3′ARM Aaah2 was isolated following SacII restriction enzyme digestion.
Fifty µg of the SacII digested pAaaH2 plasmid were used to transfect 2 × 107 ME49BAG1/EGFP tachyzoites as described in ref.26. After pyrimethamine selection and cloning, 300 single parasite clones were analysed by fluorescence microscopy and 34 tubulin/EGFP negative clones were selected for further analysis. Purified genomes of the selected parasites were analysed by PCR and one was identified (TgAaaH2KO) as having the AaaH2 gene deleted and the expected integration of the DHFR cassette in the target genomic locus. Primer sequences used are listed in Supplementary Table S2 (Supplementary Information).
Host cells and parasite culture
Human foreskin fibroblasts (HFF; Hs27, CRL-1634TM, ATCC) or Vero cells (green monkey kidney cells, CCL-81TM, ATCC) were grown as described elsewhere9 and both parasite strains were maintained as tachyzoites and propagated in vitro by serial infection of cell monolayers.
Quantitative real-time PCR procedure
The TgAaaH2KO and parental strains were allowed to infect HFF monolayers and in vitro differentiation of TgAaaH2KO and parental strain bradyzoites was achieved by alkaline conversion for 7 days. This was then followed by pepsin treatment as described in ref.27 and total RNA extraction with Trizol reagent. Bradyzoite conversion was confirmed by checking for GFP expression driven by the cyst-stage specific BAG1 promoter.
Total RNAs were treated with RNAse-free DNase I (New England Biolabs) for 30 min at 37 °C to remove genomic DNA contaminants. After phenol/chloroform extraction and ethanol precipitation, 5 µg of RNA were reverse transcribed using the SuperScript IV VILO Master Mix (Thermo Fisher), according to the manufacturer’s instructions. Two microliters of cDNA from each sample were used to run quantitative real-time PCR (qPCR) using the SYBR® Select Master Mix (Thermo Fisher), using primers for Toxoplasma tubulin sequence, as reference housekeeping gene (TUBrtFW1 5′GCGTCTTCT TGGATTTGGAG3′ and TUBrtRV1 5′TGGAGACCAGTGCAGTTGTC3′) or for the AaaH1 gene (AaH1rtFW1 5′CCACAAGCCTTT CGCAACGAGATATGAC3′ and AaH1rtFW2 5′CTCCACACACACGCA TCTTCGCACATTG3′) and the StepOne Real-Time PCR Systems equipment (Thermo Fisher). The thermal cycling conditions consisted of an initial step at 50 °C for 2 min, followed by a denaturation cycle at 95 °C for 2 min, 40 cycles at 95 °C for 15 sec and 60 °C for 1 min. After qPCR amplification, the equipment was programmed to perform a melting curve. The specificity of results of real-time RT-PCR was confirmed by agarose gel electrophoresis of amplicon products, checking for the existence of single band of expected size, and by qPCR analysis of negative controls (no template and no reverse transcriptase). Relative gene expression analysis was performed using the comparative Ct method (2−∆Ct) and fold changes were calculated using the comparative ∆Ct method (2−∆∆Ct)28. All samples were run in biological and technical triplicates.
Intracellular tachyzoites of TgAaaH2KO or parental strain were mechanically extruded from human foreskin fibroblasts, by repeated passage of scraped infected monolayers through a 26 G needle. One hundred freshly extruded tachyzoites were added to each well of six-well plates containing HFF monolayers and incubated undisturbed at 37 °C and 5% CO2. After 12 days, infected monolayers were fixed in methanol for 2 minutes, stained with Crystal violet (Sigma HT90132) and plaques were counted.
Female mice were first weighed and then inoculated intraperitoneally using 1 ml syringes (29 G, 0.33 mm × 12.7 mm). The parasite load used was 10 000 tachyzoites/animal, resulting in two experimental infection groups: TgWT- and TgAaaH2KO-infected animals. The control group consisted of saline (PBS) injected mice. After injection, animals were housed four per cage and evaluated weekly for general health and weight status. The behavioural tests were performed eight weeks post-infection and experimental results were obtained from pooled data from three separate experiments.
In the present report, all parasite-injected animals developed a sickness phenotype, distinctly from what was reported in our previous study9, where some animals did not show any clinical phenotype or develop brain cysts, despite being injected with parasites. Since the experiments in the present study were conducted in a different research facility, this could be due to differences in animal immune status, mouse colony or general vivarium conditions.
Once all behavioural tests were completed, mice were sacrificed by first inducing anaesthesia with isofluorane, followed by intraperitoneal injection with Ketamine/Xylaxine (~5 mg/Kg xylazine; 100 mg/kg ketamine). Mice were perfused with PBS and 4% paraformaldehyde, and brains were extracted. Cryoprotection of brain tissue was achieved by overnight immersion 30% sucrose:PBS solution (Sigma) and each brain was coronally sectioned in 40 µm slices, by using Leica cryostat CM3050S, set at −25 °C.
Immunohistochemistry of infected brain slices was performed to increase the fluorescence signal in parasite cysts. After washing with PBS, sections were incubated for 10 min at room temperature in 0.1 M Glycine:PBS. This was followed by a 10 min (room temperature) permeabilization step with 0.5% Triton X-100:PBS. Next, a blocking step (30 min, room temperature, with 10% Foetal Bovine Serum:0.2% Triton X-100:PBS) preceded the incubation of tissue sections with the anti-GFP antibody conjugated with Alexa 488 fluorochrome (1:500, rabbit polyclonal, Molecular Probes), 1 h at room temperature. Sections were washed and DNA was counterstained with 4′,6-diamidino-2-phenylindole (DAPI, Sigma). Finally, sections were mounted in MOWIOL (4–88 Reagent, Merck) and sealed with nail polish. Visualization of sections was performed using a wide field fluorescence microscope (AxioImager, Zeiss) and cysts were scored in all brain slices. Cyst quantification was performed in the brains of animals infected in two (TgWT) or three (TgAaaH2KO) separate experiments.
Animal housing was performed under a 12 h light-dark cycle (lights on at 8 a.m.), food and water being available ad libitum. The behavioural tests were executed between 8 a.m. and 1 p.m. and the setups were cleaned between each animal test with 10% ethanol:PBS.
Mice were tested with 24 h intervals and test order was: open field, elevated plus maze and tunnel setups. Daily testing was performed blind and mixed groups were formed, composed of individuals from each of the 3 experimental conditions (saline, TgWT- and TgAaaH2KO-infected animals). All animals were exposed to each behavioural setup only once.
The open field consisted of a square acrylic arena with white floor and black walls (39.5 × 39.5 × 17.5 cm). This setup was enclosed in a black cloth covered area, so that any visual cues were uniform. Each mouse was placed in the middle of the arena and allowed to freely explore for 10 min. Fifty percent of the available area was defined as the center zone. Animal movement was captured by using a Sony Handycam DCR-SR57E at 25 frames/second.
The elevated plus maze acrylic arms were black (walls) and white (floor), 39.5 cm long and 5 cm wide. Two opposing arms were surrounded by 15 cm high walls and each arm was attached to a supporting structure, 40 cm away from the floor. Illumination was uniform in both open and closed arms. Each animal was placed at the intersection of the four arms (always facing an open arm) and allowed to explore for 5 min. Movement was recorded using a Sony Handycam DCR-SR57E (25 frames/second).
The current tunnel setup was first described in29 and was composed of two acrylic boxes (12 cm × 8 cm × 12 cm), connected by a transparent acrylic tunnel (48 cm × 3 cm × 3 cm; internal dim 2.5 cm × 2.5 cm). Access to the tunnel was controlled by mechanically operated doors (one at each end of the tunnel and an additional one in the middle). The test started with each animal being placed in the same starting box (Box A) and the tunnel access door would then open. Individuals were allowed to cross the tunnel 5 times and, on the 6th cross, the doors (middle door + door of the box the animal had just exited from) would close and trap the animal inside the tunnel, for 6 min. After this time elapsed, the doors would open and release the animal. The test would end when another 5 consecutive crosses were executed. Behaviour was recorded using a PointGrey Flea3 camera at 30 frames/second.
Behavioural data analysis
Video behavioural data recorded from the open field and elevated plus maze setups was automatically analysed using Anymaze software (Stoelting, USA). Behavioural data obtained in the tunnel setup was either scored by an experimenter blinded to the animals’ identities or analysed using a custom written code in Matlab programming language (MathWorks). Graphics were plotted using Graphpad Prism (GraphPad Software, Inc., USA).
In the open field data set, the coefficient of variation plot in Fig. 2D was calculated based on the distance travelled in 2 min intervals, for each individual, dividing the standard deviation by the average distance travelled over time. The bouts of movement in Fig. 2E plot were defined as the number of horizontal transitions from immobility to mobility and back. The frequency of bout occurrence (Fig. 2G) was scored as the proportion of bouts of particular length intervals. Non-locomoting periods (Fig. 2K) correspond to episodes where no horizontal movement is detected.
In the elevated plus maze data set, occupancy (Fig. 3D) was calculated as the percentage of time spent in each arm type. Occupancy of the center of the maze was similar across all experimental groups and was not represented.
Additional behaviour variables were scored in the open field and elevated plus maze tests and used for principal component analysis (see below) and are listed in column 2 in Fig. 4. Open field: Time immobile (center and border) corresponded to the average percentage of time immobile in a given area relative to total time spent in that area. Time freezing was calculated as the average percentage of time the animal spent freezing (absence of motion apart for respiratory-related movements) relative to test duration. Time freezing in center was the proportion of time spent freezing in center relative to time spent on center. The percentage of time spent in center relative to test duration was designated as center occupancy.
In the tunnel trapping test, visits to tunnel ends (either by the animal moving forward or backward) were scored as crosses of a virtual line positioned 5 cm away from each tunnel end. The number of tunnel midpoint crosses was calculated by defining a point halfway through the enclosed tunnel section and scoring the number of times animals crossed this point (midpoint). The distribution of midpoint crosses over trapping time was analysed in early (first 2 minutes of trapping period) and the remaining trapping time (4 minutes) and the number of crosses within each period was calculated for 30 s bins.
Statistical analyses were carried out using R studio softwate (Rstudio, Inc.) and Graphpad Prism (GraphPad Software, Inc., USA) and all data are represented as mean ± SEM.
Data distribution was first tested for normality (using the Shapiro test) and for variance homogeneity (Levene’s test). Data not violating normality was analysed using independent samples tests, one-sample test (compare mean to value of 1), one-way ANOVA or two-way mixed design ANOVA, followed by the Bonferroni post hoc test. For data not conforming to homogeneity of variance, Welch correction was used for the ANOVA analysis, followed by robust post hoc test mcppb2030. Both the confidence intervals and p-values are corrected for the number of tests. Data that did not conform to normality was analysed using the Kruskal-Wallis rank-sum test and post hoc tests correspond to performing Wilcoxon rank-sum tests on all possible comparisons. This method is described in ref.31 and compares the difference between the mean ranks of groups to two values: one based on the value of z (corrected for the number of comparisons being done) and a constant calculated using the total sample size and the sample size in the two groups under comparison. Supplementary Table S1 (Supplementary Information) shows the results for each relevant statistical test.
Multivariate factor analysis was used to decrease data complexity and reveal the structure within the data sets with as little information loss as possible. We first standardized all behaviour data by calculating individual’s z-scores relative to the overall average value of the three experimental groups and principal component analysis (PCA) method was applied (involving a Varimax (orthogonal) rotation) to 26 of 30 behaviour variables scored in the open field and elevated plus maze experiments (sample sizes: saline = 28; TgWT = 15; TgAaaH2KO = 25). The data rotation used allowed for the maximization of variance within each extracted factor and thus resulted in a simpler structure interpretation. The analysis adequacy was determined using the Kaiser-Meyer-Olkin measure of sampling adequacy test (KMO = 0.82) and the Bartlett’s sphericity test. The 5 identified factors with loadings >0.40 represent the primary dimensions being measured and account for 84.3% of all variance present in de data. An Anderson-Rubin factor score matrix was calculated, representing the classification of each animal on the identified factors.
The datasets generated during and/or analysed during the current study are available from the corresponding authors on reasonable request.
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We would like to thank A. Fernandes and C. French for critical review of the manuscript and members of the laboratory for valuable advice and scientific discussions. This work was supported by funds from ERA-NET, the European Research Council, and HHMI (IEC 55007415) to RMC.
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Parasites & Vectors (2019)