Skip to main content

Fluorescent bead-based serological detection of Toxoplasma gondii infection in chickens

Abstract

Background

Free-ranging chickens are often infected with Toxoplasma gondii and seroconvert upon infection. This indicates environmental contamination with T. gondii.

Methods

Here, we established a bead-based multiplex assay (BBMA) using the Luminex technology for the detection of T. gondii infections in chickens. Recombinant biotinylated T. gondii surface antigen 1 (TgSAG1bio) bound to streptavidin-conjugated magnetic Luminex beads served as antigen. Serum antibodies were detected by a fluorophore-coupled secondary antibody. Beads of differing color codes were conjugated with anti-chicken IgY or chicken serum albumin and served for each sample as an internal positive or negative control, respectively. The assay was validated with sera from experimentally and naturally infected chickens. The results were compared to those from reference methods, including other serological tests, PCRs and bioassay in mice.

Results

In experimentally infected chickens, the vast majority (98.5%, n = 65/66) of birds tested seropositive in the BBMA. This included all chickens positive by magnetic-capture PCR (100%, n = 45/45). Most, but not all inoculated and TgSAG1bio-BBMA-positive chickens were also positive in two previously established TgSAG1-ELISAs (TgSAG1-ELISASL, n = 61/65; or TgSAG1-ELISASH, n = 60/65), or positive in an immunofluorescence assay (IFAT, n = 64/65) and in a modified agglutination test (MAT, n = 61/65). All non-inoculated control animals (n = 28/28, 100%) tested negative. In naturally exposed chickens, the TgSAG1bio-BBMA showed a high sensitivity (98.5%; 95% confidence interval, CI: 90.7–99.9%) and specificity (100%; 95% CI: 85.0–100%) relative to a reference standard established using ELISA, IFAT and MAT. Almost all naturally exposed chickens that were positive in bioassay or by PCR tested positive in the TgSAG1bio-BBMA (93.5%; 95% CI: 77.1–98.9%), while all bioassay- or PCR-negative chickens remained negative (100%; 95% CI: 85.0–100%).

Conclusions

The TgSAG1bio-BBMA represents a suitable method for the detection of T. gondii infections in chickens with high sensitivity and specificity, which is comparable or even superior to other tests. Since assays based on this methodology allow for the simultaneous analysis of a single biological sample with respect to multiple analytes, the described assay may represent a component in future multiplex assays for broad serological monitoring of poultry and other farm animals for various pathogens.

Background

Toxoplasma gondii is a zoonotic protozoan parasite ranking among the most important foodborne pathogens worldwide [1,2,3,4]. Humans acquire toxoplasmosis either congenitally or postnatally [5]. Toxoplasma gondii can be transmitted congenitally from a recently infected mother to the fetus and may cause severe disease in children (e.g. hydrocephalus, seizures, mental or growth retardation) or even abortion. Congenitally infected children that are born without symptoms can also develop toxoplasmosis later in life (e.g. ocular toxoplasmosis). However, a large number of ocular uveitis cases in humans seem to be caused by postnatal T. gondii infections [6]. In most cases, postnatally acquired T. gondii infections, either through consumption of undercooked infected meat or by oral uptake of oocysts shed by felids, have no severe consequences [7]. Yet, persistent or recently acquired infections in immuno-compromised patients (e.g. transplant patients) may cause life-threatening disease [7].

Livestock animals are frequently infected by T. gondii, especially if they are reared free-ranging or have outdoor access [8]. In particular, free-range chickens are exposed to the environmental stage of the parasite, the oocysts, and the presence of cats on farm premises has been reported as a risk factor [9]. Although infections occur frequently, reports on clinically apparent toxoplasmosis in chickens are rare (reviewed by [10]). Due to the ground-feeding behavior of chickens and their susceptibility for T. gondii, they have been used as sentinels to monitor the potential contamination of farms with this parasite [11, 12]. The extent, to which chicken meat contributes to human infection with T. gondii, is unknown. There are specific dishes (e.g. chicken carpaccio, chicken sashimi and barbecued chicken) or products (sausages), in which the meat may not be sufficiently processed to inactivate the parasite. Moreover, handling raw chicken meat may represent a risk factor for human infection during cooking [13, 14]. Poor kitchen hygiene has also been reported as risk factor for human infection with the parasite [13].

In many epidemiological studies, serum or plasma were used to determine specific antibodies against T. gondii. The results have been used to estimate the burden of infection in chickens or on chicken farms (reviewed by [10]) to assess the potential risk for consumers [15], to identify chickens with viable T. gondii infections [16] or to assess risk factors for infection in this livestock species [9, 17,18,19,20]. Suitable serological techniques for chickens include MAT [12, 16, 21], IFAT [9, 21, 22] and ELISA [9, 21, 22].

In the present study, we aimed to establish a novel bead based multiplex assay (BBMA) applying the Luminex technology [23] for the detection of serum antibodies to T. gondii using recombinant biotinylated TgSAG1bio, a major tachyzoite surface antigen of this parasite [24]. We then validated the TgSAG1bio-BBMA against other well-established serological assays, i.e. the modified agglutination test (MAT), immunofluorescence assay (IFAT) and ELISAs, based on native TgSAG1, to detect T. gondii infection in chickens. To determine the diagnostic characteristics of the TgSAG1bio-BBMA, we used sera and tissues from experimentally or naturally infected chickens. These had been collected in previous studies [9, 22], in which we had determined the true infection status in these chickens using magnetic-capture-(MC-) real-time PCR (qPCR). Likewise, a combination of mouse-bioassay, MC-qPCR and quantitative PCR on acidic pepsin muscle digests (PD-qPCR) had been used.

Our results show that the TgSAG1bio-BBMA assay represents a suitable method with high sensitivity and specificity for the detection of T. gondii infections in chickens. Such bead-based assays provide an option for multiplexing because beads of numerous dye signatures (also called bead regions) are available. Thus, internal positive and background controls coupled to beads with different dye signatures can be evaluated simultaneously for each individual sample in the test. Moreover, the TgSAG1bio-BBMA allows combination with other serological markers, e.g. antigens from other pathogens, and has the potential to be included in future multiplex assays for large-scale sero-surveillance without a requirement for additional serum samples.

Methods

Parasite strains and experimental infections

We used samples from chickens (breed ISA JA 757) that had been experimentally infected with oocysts, tissue cysts or tachyzoites as reported in detail in a previous study [22]. Regardless of oocyst, tissue cyst or tachyzoite infections, the observation period usually lasted 5 weeks in all infected groups. In the case of tachyzoite infection, 6 inoculated and 6 non-inoculated birds were included and observed for a total of 10 weeks [22]. At the end of the observation period, blood was collected for serological analysis, the animals were euthanized and tissues (brain, heart, breast, thigh and drumstick musculature) were stored frozen at − 20 °C until further use. A total of 23 non-infected control chickens and 66 inoculated chickens were used, which were orally inoculated with oocysts or brains of chronically infected mice or by intravenous (i.v.) injection of in vitro-cultivated tachyzoites [22].

Three different T. gondii strains were used: the type II T. gondii strain CZ-Tiger [25]; type II T. gondii ME49 [26]; and type III T. gondii NED [27]. The CZ-Tiger strain parasites were already available as oocysts while ME49 and NED parasites were initially cultivated as tachyzoites [28] and passaged via CD-1 mice and cats to generate tissue cysts and oocysts, respectively [22].

For infecting chickens, three different doses of oocysts were applied, i.e. 1 × 103 (CZ-Tiger, ME49 and NED), 1 × 105 (CZ-Tiger and ME49), or 1 × 106 oocysts per bird (CZ-Tiger and ME49) [22]. For tissue cyst infection, one microscopically-positive mouse brain per bird was inoculated orally [22]. In vitro cultivated tachyzoites (T. gondii NED, 1 × 106 tachyzoites in 0.1 ml of sterile isotonic saline solution (B. Braun Melsungen AG, Melsungen, Germany)) were inoculated i.v. into the wing vein of each bird.

Polymerase chain reaction

MC-qPCR was essentially performed as described [29] with some slight modifications [22]. For the PD-qPCR, tissues were digested [11, 30] and the qPCR performed on digests as described [31, 32] using primers and a probe targeting the 529 bp repeat of T. gondii [33].

Sera and serological tests

Sera

Sera from experimentally and naturally exposed chickens were collected as detailed previously [9, 22]. When the chickens were sacrificed, blood was collected and allowed to clot. The samples were then centrifuged, sera collected and stored frozen at − 20 °C until further use.

MAT

The MAT for the detection of T. gondii-specific IgY antibodies was performed as previously described [34]. Each serum or fluid sample was two-fold serially diluted. A titer of 1:1 was applied as the positive cut-off.

IFAT

The IFAT was performed as reported previously [9]. Only complete peripheral fluorescence of the tachyzoite was considered specific. A titer of 1:50 was used as the positive cut-off.

TgSAG1-ELISA

Chicken sera were tested for antibodies against the native T. gondii tachyzoite surface antigen TgSAG1 as described [9] using affinity purified TgSAG1 of T. gondii tachyzoites [35, 36]. A cut-off optimized for maximum diagnostic specificity was applied (ELISA index 0.242) as previously described for the TgSAG1-ELISASH [9]. The subscript SH indicates “specificity high”. Moreover, a less-stringent cut-off optimized for Youden’s index was used (ELISA index 0.104) for the TgSAG1-ELISASL [9]. Here, the subscript “SL” indicates “specificity low”.

Luminex TgSAG1

Recombinant production of biotinylated TgSAG1 (TgSAG1bio) and coupling of the antigen to Luminex MagPlex® beads (Luminex Cooperation, ‘s-Hertogenbosch, The Netherlands) has been described recently [37]. In brief, the entire mature coding region of TgSAG1 (aa 31–289) was expressed as an N-terminal fusion with maltose binding protein (MBP), which enhances solubility during translation. MBP can be cleaved-off in situ by TEV protease, which recognizes its cleavage sequence and thus separates MBP from TgSAG1 in the engineered protein [37]. After that the putative GPI-attachment site (Gly289 of TgSAG1) at the C-terminus, a 4 kDa peptide sequence (AviTag) and a six histidine-tag were added and used for purification. The AviTag is recognized by Escherichia coli biotin ligase BirA, resulting in the C-terminal in situ biotinylation of TgSAG1 at a unique lysine residue within the tag sequence. Subsequently, biotinylated TgSAG1bio was purified by metal chelate affinity chromatography using an Äkta Purifier system [37].

The chemical coupling to beads of either recombinant streptavidin (Sav; Anaspec, Fremont, CA, USA; 16.67 μg/106 MagPlex® beads, region 34), chicken serum albumin (CSA, Sigma-Aldrich, Darmstadt, Germany; 12 µg/106 MagPlex® beads, region 54) as a negative control, or chicken IgY (Jackson ImmunoResearch Laboratories, West Grove, PA, USA; 6.67 µg/106 MagPlex® beads, region 52) as a positive control followed the instructions of the xMAP® Cookbook [38, 39]. Prior to coupling, bead stocks were vortexed for 30 s and sonicated for 30 s in a water-bath. Beads (1.5 × 106) were transferred from the stock to individual reaction tubes for each of the three bead regions, i.e. dye signatures, washed with distilled water, vortexed and sonicated for a few seconds and incubated in 80 µl 0.1 M NaH2PO4, pH 6.2 per tube. The tubes were again vortexed and sonicated for 10 s prior to addition of 500 µg N-hydroxysulfosuccinimide (Sulfo-NHS; Thermo Fisher Scientific, Waltham, MA, USA) and 1-ethyl-3-[3-dimethylaminopropyl]carbodiimide hydrochloride (EDC; Thermo Fisher Scientific). The beads were then incubated for 20 min on a horizontal shaker (300× rpm) and vortexed briefly after 10 min.

After incubation, the tubes were again placed in a magnetic separator for 2 min and the supernatant removed. The beads were washed twice with 250 µl of 0.05 M 2-(N-morpholino) ethanesulfonic acid (MES; Sigma-Aldrich) before addition of conjugates, and each tube was adjusted to 500 µl by adding 0.05 M MES. Tubes were briefly vortexed and then incubated for 2 h on a horizontal shaker at 300× rpm, with an intermittent brief vortexing step after 1 h. The tubes were then placed in a magnetic separator for 2 min and the supernatant removed. Five hundred µl of PBS containing 0.02 % Tween-20, 0.1 % BSA and 0.05 % sodium azide (PBS-TBN) were added and the beads incubated for 30 min on a horizontal shaker at 300× rpm, before the samples were placed in a magnetic separator for 2 min to remove the supernatant. The beads were washed twice with 1 ml PBS-TBN without sonication. For storage, the beads were resuspended in 500 µl Stabilguard (Surmodics, Inc., Eden Prairie, MN, USA). TgSAG1bio (10 ng/1500 beads) was added to the Sav-coated bead mix as described elsewhere [37].

Testing by BBMA was performed as previously described for human sera [39]. The 3 bead mixes were adjusted to 1000 beads per sample in PBS containing 1% BSA (PBS-B). Twenty µl of each region were added to 100 µl of samples (sera diluted 1:200 in PBS-B) in a 96-well plate (Greiner Bio-One, Kremsmünster, Austria). The plate, protected from light, was shaken at room temperature for 60 min. Beads were then washed twice with PBS containing 0.1 % Tween-20 (PBS-T). One hundred µl of rabbit-F(ab’)2 anti-chicken IgG-phycoerythrin (Rockland Immunochemicals, Limerick, PA, USA), diluted 1:333 in PBS-B, added to each sample and the plate shaken at room temperature for 30 min, protected from light. Beads were again washed twice, resuspended in 125 µl PBS-B and analysed with a Bio-Plex 200 reader (Bio-Rad, Hercules, CA, USA). The readout was set to 50 beads per region and the timeout was set to 90 s. The High RP1 target option was activated (i.e. increasing the voltage on the photomultiplier tube) for increased sensitivity, allowing quantification of lower concentrations of analytes and three wells containing only beads and PBS-B were set as blank samples.

Mouse bioassay

The mouse bioassay was conducted as described [9]. Briefly, IFNɣ-knockout mice (GKO, IFNɣ -/-, C.129S7(B6)-Ifngtm1Ts/J) or IFNɣ-receptor-knockout mice (GRKO, IFNɣreceptor -/-; B6.129Sv/Ev-IfngrtmAgt) were used. The mice were inoculated with pepsin-digested [11, 30] heart and drumstick musculature (2 mice for each kind of tissue, monitored for 42 days).

Statistical analysis

R version 3.5.3 (R Foundation for Statistical Computing, Vienna, Austria; http://www.R-project.org) and the R package optimal.cutpoints were used to define an optimal cut-off for the TgSAG1bio-BBMA and to determine diagnostic sensitivity, specificity, and positive and negative predictive values, including 95% confidence intervals (95% CI). In addition, diagnostic sensitivity and diagnostic specificity, including 95% CI, were determined using tools that were available online (http://vassarstats.net/clin1.html). To assess the overall diagnostic performance of the test, Youden’s index was calculated by the following formula using Excel spreadsheet functions: Sensitivity + Specificity – 1 [40]. To determine the relatedness of values measured in various serological diagnostic tests, linear regression was performed using the “lm” command in R, version 3.5.3. For this analysis, median fluorescence intensity (MFI) values and titers in IFAT and MAT were log10-transformed. Sera for which no titer had been determined in IFAT or MAT (i.e. seronegative sera), arbitrary titers of 1:25 (IFAT) or 1:0.5 (MAT) were used to allow for the calculation of log10 values.

Figures were assembled using R, version 3.5.3 or 4.0.0 (packages ggplot2, reshape and scales).

Results

Based on the promising results obtained with the BBMA using human sera and the strong performance of TgSAG1bio [37, 39], we strived for a transfer of this assay to animal species, including chickens, to establish an improved method for large scale, efficient serological monitoring. Although there is a number of BBMAs for veterinary purposes, these tests mainly focus on viral infections [41,42,43,44] and cannot be easily compared with our assay, which, to the best of our knowledge represents the first BBMA focusing on parasitic pathogens in chickens.

Cut-off selection and diagnostic characteristics using sera from experimentally infected chickens

Sera collected from experimentally infected chickens were examined by the TgSAG1bio-BBMA (Additional file 1: Table S1). They had been collected from 23 non-infected and 66 infected chickens (orally inoculated with oocysts and brains of chronically infected mice, or intravenously with in vitro-cultivated tachyzoites, described in Methods). At the end of the observation periods, the infection state of the inoculated chickens was assessed in brain, heart, thigh, breast and drumstick musculature by MC-qPCR. Detailed results of these examinations were reported elsewhere [22].

For selecting an appropriate cut-off to score results as positive or negative by TgSAG1bio-BBMA, all inoculated chickens served as a positive reference population whereas non-infected control animals were defined as negative. Based on these assignments, an optimal Youden’s index was obtained when a median fluorescence intensity (MFI) of 322.5 was used as the cut-off. Relative to the reference standard, TgSAG1bio-BBMA showed a diagnostic sensitivity of 98.5% (95% CI: 91.8–100%; n = 65/66) and a diagnostic specificity of 100% (95% CI: 85.2–100%; n = 23/23) for the reference populations (Table 1).

Table 1 Summary of the characteristics of serological tests relative to two references of experimental chickens, (A) T. gondii inoculated vs non-inoculated chickens, (B) MC-qPCR (magnetic capture quantitative PCR) positive vs non-inoculated chickens, stratified for the tests. For the analysis, all experimentally inoculated chickens were excluded, if their infection had not been confirmed by MC-qPCR

Inoculated chickens that had tested positive by direct detection (MC-qPCR) showed higher MFI values than inoculated chickens, for which direct detection methods failed to confirm infection (Fig. 1). To separate MC-qPCR-positive chickens from MC-qPCR-negative chickens, a cut-off of MFI 3092 was optimal. At this cut-off, MC-qPCR-positive chickens were detected with a diagnostic sensitivity of 97.8% (95% CI: 88.2–99.9%; n = 44/45) and a diagnostic specificity of 76.2% (52.9–91.8%, n = 39/44). There were 5 serologically false-positive results (i.e. MC-qPCR negatives that tested serologically positive) and one false-negative finding (i.e. a MC-qPCR positive, testing serologically negative using MFI 3092 as the cut-off). The serum of the false-negative chicken showed a TgSAG1bio-BBMA MFI of 2939.

Fig. 1
figure 1

Performance of the TgSAG1bio bead-based multiplex assay in experimentally Toxoplasma gondii-infected chickens. Median fluorescence intensities (MFI) in sera collected from non-inoculated chickens (green, n = 23) and inoculated chickens (n = 66). Results of inoculated chickens are split into inoculated and negative in direct detection by magnetic capture real time PCR (InocNeg, orange, n = 21) or inoculated and positive in direct detection (InocPos, red, n = 45). Data are displayed as box plots of median (line), 25th and 75th percentile (box), the 1.5-fold interquartile ranges (whiskers) and outliers (dots). The cut-off to separate reaction of inoculated from non-inoculated chickens is indicated by a red line (MFI = 322.5). The cut-off used within the group of inoculated chickens to separate the reactions of birds that tested positive by direct detection is indicated by a black line (MFI = 3092). In addition to the specific reactions (TgSAG1bio), results for internal controls, i.e. negative (chicken albumin; background) and positive controls (chicken IgY), are shown

In experimentally infected chickens, the MFI values for CSA-loaded beads (negative control) were generally very low, while the MFI values were always high in chicken anti-IgY-loaded beads (positive or IgY concentration control) (Fig. 1).

Comparison to other serological tests and MC-PCR in experimentally infected chickens

The results of the TgSAG1bio-BBMA were compared to those obtained by other antibody detection techniques (TgSAG1-ELISASH; TgSAG1-ELISALH, IFAT and MAT) reported previously [22]. Overall, the TgSAG1bio-BBMA detected the largest number of experimentally inoculated chickens (98.5%, 65/66) and was superior to the IFAT (97.0%, 64/66), followed by the TgSAG1-ELISASL and MAT (92.4%, 61/66) and the TgSAG1-ELISASH (90.9%, 60/66) (Table 1). All control animals were correctly identified as negative in all serological tests, including the TgSAG1bio-BBMA.

Among all inoculated chickens, only those inoculated with oocysts (89.5%; 34/38) or tissue cysts 68.8% (11/16) tested positive, when brain, heart, thigh, breast or drumstick tissue was examined by MC-qPCR. All these 45 MC-qPCR-positive birds also tested positive in the TgSAG1bio-BBMA using MFI 322.5 as a cut-off (Fig. 1). The other serological tests applied in this study showed a similar performance; all MC-PCR-positive chickens tested positive, while the control birds remained negative.

Performance of TgSAG1bio-BBMA relative to other serological tests in naturally exposed chickens

To confirm the findings obtained with experimentally infected chickens, sera of naturally infected chickens were used (details on the selection of chickens have been reported elsewhere [9]). Sera were examined by TgSAG1bio-BBMA (Additional file 1: Table S2) and compared to results of other antibody detection techniques (ELISA, IFAT, MAT) or the results of direct parasite detection. Results of direct detection attempts were available for 59 of 61 chickens as previously reported [9].

Sera were also tested by the serological tests described above. Based on the results obtained with the majority of tests (i.e. excluding 18 of the initial 446 sera, for which half of the results were either positive or negative), an MFI of 483 was established as the optimal cut-off (optimal Youden’s index). Using this value, the TgSAG1bio-BBMA had a diagnostic sensitivity of 90.0% (95% CI: 78.2–96.7%; n = 45/50) and a diagnostic specificity of 98.9% (95% CI: 97.3–99.7%; n = 374/378) for the reference population. When a cut-off of MFI = 322.5, established for the experimentally infected chickens, was applied to the field chickens, the diagnostic characteristics were identical to those reported for the cut-off of MFI = 483; we thus decided to use MFI = 322.5 for further comparisons.

A few sera (n = 5) showed background reactivity slightly above the cut-off (Fig. 2). However, this was only observed for two sera that scored TgSAG1bio-BBMA-positive (Fig. 2). Since the specific TgSAG1bio reaction was 27- or 7-times higher in these sera than the background reaction, the latter was regarded negligible.

Fig. 2
figure 2

Performance of the TgSAG1bio-BBMA in chickens naturally exposed to Toxoplasma gondii. Median fluorescence intensity (MFI) in sera collected from reference-negative chickens (green, n = 378), reference-positive chickens (red, n = 50) and chickens that could not be assorted to the reference population (NA, n = 18) because of diverging results in serological reference assays (ELISA, IFAT and MAT). Data are displayed as box plots showing median (line), 25th and 75th percentile (box), the 1.5-fold interquartile ranges (whiskers) and outliers (dots). The cut-off applied is indicated by a red line (MFI = 322.5). In addition to the specific reactions (TgSAG1bio), also internal control reactions, i.e. negative control (chicken albumin) and a positive control reaction (chicken IgY) are shown. Notes: All negative reference chickens with background reactions MFI > 322.5 tested negative in the TgSAG1bio-BBMA. Two positive reference chickens with background reactions MFI > 322.5 were regarded as negligible, because their TgSAG1bio-BBMA reactions were at least 7-times higher and exceeded MFI 9000

Some sera had up to 10-times less IgY than the majority of sera (Fig. 2; outliers). This was the case in 4 of the positive reference sera and 13 of the negative reference sera. As it was not clear, whether the reduced IgY content in these sera might have had an effect on the cut-off selection and the diagnostic characteristics, statistical analysis was repeated without these 17 samples. The analysis resulted in the same cut-off, a diagnostic sensitivity of 89.1% (95% CI: 76.4–96.4%; n = 41/46) and a diagnostic specificity of 98.9% (95% CI: 97.3–99.7%; n = 361/365).

Diagnostic performance of TgSAG1bio-BBMA and other serological tests relative to direct detection in naturally exposed chickens

Relative to a reference standard of direct T. gondii detection (i.e. chickens with heart or drumstick tissues positive either by mouse bioassay, MC-qPCR or PD-qPCR), serological analysis by the TgSAG1bio-BBMA with the cut-off MFI = 322.5 showed the highest Youden’s index of all serological tests. This was also reflected by a high diagnostic sensitivity (93.5%, 29/31) and maximal diagnostic specificity (100%, 28/28) (Table 2). Only the MAT had the same diagnostic specificity (100%, 28/28), but at the same time a substantially lower diagnostic sensitivity (67.7%, 21/31) (Table 2).

Table 2 Characteristics of serological tests relative to mouse bioassay and PCR, MC-qPCR (magnetic capture quantitative PCR), PD-qPCR (conventional quantitative PCR on acid pepsin-digested tissues)

The antigenic properties of recombinant TgSAG1bio used in the BBMA may differ from those of native TgSAG1 used in ELISA or the complex antigens used in IFAT or MAT. The extent, to which the values obtained in the different tests were related to each other, was studied by linear regression. Log10-transformed MFI values in the TgSAG1bio-BBMA correlated better with the ELISA indices in the TgSAG1-ELISA (adjusted R2, 74.6%; P < 0.001) than with log10-transformed IFAT titers (adjusted R2, 65.6%; P < 0.001) or log10-transformed MAT titers (adjusted R2, 57.5%; P < 0.001) (Fig. 3).

Fig. 3
figure 3

Linear regression analyses of fluorescence intensities measured in the TgSAG1bio-BBMA and the results of ELISA, IFAT and MAT. Each graph shows a linear regression line, including 95% confidence limits (grey). Log10-transformed MFI values in the TgSAG1bio-BBMA correlated highest to the ELISA indices in the TgSAG1-ELISA (Adjusted R2, 74.6%). In contrast, linear regression with log10-transformed IFAT titer (Log-IFAT) or log10-transformed MAT titers (Log-MAT) revealed adjusted R2 of 65.6% or 57.5%, respectively

Discussion

In the present study, we used data and sera from previous studies to characterize the potential of a BBMA for assessing the serological response of chickens against T. gondii. To our knowledge, this is the first description of a T. gondii-specific serological BBMA for chickens. BBMAs have a number of advantages as compared to MAT, IFAT and ELISA. First, they allow for the simultaneous serological testing of antibodies directed against several pathogens by using a number of antigens coupled to beads with individual colour codes (also called regions). Moreover, with analytes coupled to different bead regions and added to the same BBMA one can implement internal standards, such as a control for sufficient IgY levels in a test sample. Such internal controls can often not be included in other serological assays such as ELISA, IFAT or MAT, when testing individual samples, or only at the expense of testing additional samples.

A similar approach for detecting T. gondii infections in animals other than chickens using BBMA has been reported [45, 46]. This assay used a T. gondii tachyzoite lysate as antigen. In contrast, we applied a bacterially expressed biotinylated recombinant TgSAG1 [37], the major surface antigen of T. gondii tachyzoites [24], which is used widely for serodiagnosis in humans, but also in wild or livestock animals (e.g. [47,48,49,50,51,52,53,54,55]). Our recombinant TgSAG1bio is unique in that it allows an oriented and reproducible coupling of the antigen to streptavidin-coated magnetic Luminex beads via a single C-terminal biotin [37]. It thus adopts a similar orientation on the beads as native TgSAG1 does on the parasite surface through its GPI anchorage in the membrane [56], thereby exposing the major conformational epitope recognized by human antibodies to the solute [57]. However, it is not known, if this epitope is also important in chickens.

Only two other studies have reported the use of recombinant TgSAG1 for serodiagnosis in chickens [47, 58]. In both cases, TgSAG1 was used in a denatured form on immunoblots, leading to low sensitivity compared to other recombinant tachyzoite antigens or total lysate, respectively. In contrast, TgSAG1 used in our reference ELISA is purified from tachyzoite lysate by monoclonal antibody affinity chromatography [9]. We conclude that TgSAG1bio as used here is as good as the native protein, but available in larger amounts with less effort.

Since the TgSAG1bio-BBMA was previously tested for human sera and showed excellent diagnostic characteristics in comparison to commercial diagnostic assays [37], we extended the use of the TgSAG1bio-BBMA to chicken sera. We compared the diagnostic characteristics not only with those of other serological tests, but also with the infection status of the birds as determined by samples from experimentally or naturally exposed chickens, by direct detection including conventional qPCR on pepsin-digested muscle tissues, MC-qPCR or mouse bioassay.

By using sera of experimentally inoculated chickens, a cut-off was established to separate T. gondii-inoculated from non-inoculated chickens. With this cut-off, the diagnostic performance of the TgSAG1bio-BBMA in experimental chickens was as good as or superior to that of the ELISAs, IFAT and MAT performed in comparison. Moreover, much higher MFI values were observed in T. gondii inoculated chickens that had tested positive by direct detection (MC-qPCR) than in inoculated chickens without directly detectable infection (Fig. 1). However, we cannot exclude that also inoculated animals without a positive MC-qPCR result were viably infected. Probably, T. gondii had multiplied better in MC-qPCR-positive animals, which may have resulted in a wider distribution of the parasite and could thus have increased the chance to detect the infection by MC-qPCR. At the same time, it may have led to increased exposure to parasitic antigens, including TgSAG1, and thus to a higher level of specific antibodies. In a previous study, it has been observed that higher antibody levels increased the likelihood of a positive result in MC-qPCR in sheep [29].

The cut-off established by using experimental chicken sera proved also suitable in naturally infected chickens. With this cut-off, it was possible to separate sera that had tested positive or negative in a number of reference tests including two ELISAs, IFAT and MAT with high diagnostic sensitivity and specificity. Moreover, especially the TgSAG1-ELISA indices, but also the titers in IFAT or MAT correlated significantly with the MFI values of the TgSAG1bio-BBMA.

In naturally exposed chickens that had also been examined by direct detection methods, the TgSAG1bio-BBMA showed both high diagnostic sensitivity and specificity to identify infected animals. The TgSAG1-ELISASL was the only test that had a higher diagnostic sensitivity compared to the TgSAG1bio-BBMA. However, its diagnostic specificity was much lower.

The second cut-off established in experimental chickens (MFI = 3092) allowed separating birds that were positive in direct detection from birds that were inoculated, but appeared negative in direct detection. In naturally exposed chickens, however, the assay failed to detect 29.0% (9/31) of the direct detection-positive chickens, including eight birds, in which the mouse bioassay had proven a viable T. gondii infection. Therefore, we do not recommend applying this second cut-off.

There is a number of reasons, why the findings obtained with experimentally infected chickens do not necessary match the results for naturally exposed birds: (i) infections in naturally exposed chickens may date back much further than the more recent infections in experimentally inoculated chickens. Therefore, the exposure to tachyzoite antigens and to TgSAG1 in particular may have occurred more recently in experimentally exposed chickens, which might have had the effect that antibody levels to this antigen are still higher. (ii) Experimentally inoculated chickens may have been exposed to higher parasite doses as compared to naturally exposed chickens. Even low oocyst numbers, which are still infective, but might result in a lower tachyzoite burden, may have induced the development of tissue cysts and eventually viable T. gondii infection in naturally exposed birds. The differences between experimentally and naturally exposed chickens show, that test development and validation in veterinary medicine should never rely on data obtained by experimental infections alone.

Conclusions

The TgSAG1bio-BBMA correlated very well with other standard serological tests and was superior to these tests in detecting viable T. gondii infections in chickens. Since the TgSAG1bio-BBMA allows for multiplexing and the option for including internal controls as a prerequisite for standardization, it seems to be a promising test, which may also be adapted to further animal species [59]. Similar to previous work [45], the TgSAG1bio-BBMA may be adapted to pigs, also in combination with tests for other parasitic (e.g. Trichinella), bacterial (e.g. Salmonella) or viral pathogens (e.g. hepatitis E virus). As the recombinant antigen used in the TgSAG1bio-BBMA is readily available in large quantity and high purity, the test will be easy to standardize and the production of a large number of tests seems feasible. Moreover, the TgSAG1bio-BBMA has advantages over existing methods, some of which require large sample volumes, and is therefore particularly attractive in situations, where only minute sample volumes are available. At the same time, it is suitable for parallel testing against several pathogens for comprehensive serological monitoring.

Availability of data and materials

Data supporting the conclusions of this article are included within the article and its additional files. The raw datasets used and analyzed during the present study are available from the corresponding author upon reasonable request.

Abbreviations

BBMA:

bead-based multiplex assay

BSA:

bovine serum albumin

CSA:

chicken serum albumin

ELISA:

enzyme-linked immunosorbent assay

IFAT:

immunofluorescent antibody test

MAT:

modified agglutination test

MC-qPCR:

magnetic-capture real time PCR

MFI:

median fluorescence intensity

O.D.:

optical density

NC:

negative control

PBS:

phosphate buffered saline

PBS-B:

PBS containing 1% BSA

PBS-T:

PBS containing 0.1% Tween-20

PBS-TBN:

0.02% Tween-20, 0.1% BSA and 0.05% sodium azide

PC:

positive control

PD-qPCR:

pepsin digest-based real time PCR

TgSAG1bio :

surface antigen 1 of Toxoplasma gondii tachyzoites, biotinylated

References

  1. Havelaar AH, van Rosse F, Bucura C, Toetenel MA, Haagsma JA, Kurowicka D, et al. Prioritizing emerging zoonoses in the Netherlands. PLoS ONE. 2010;5:e13965.

    PubMed  PubMed Central  Google Scholar 

  2. Scallan E, Hoekstra RM, Angulo FJ, Tauxe RV, Widdowson MA, Roy SL, et al. Foodborne illness acquired in the United States - major pathogens. Emerg Infect Dis. 2011;17:7–15.

    PubMed  PubMed Central  Google Scholar 

  3. Scallan E, Hoekstra RM, Mahon BE, Jones TF, Griffin PM. An assessment of the human health impact of seven leading foodborne pathogens in the United States using disability adjusted life years. Epidemiol Infect. 2015;143:2795–804.

    CAS  PubMed  Google Scholar 

  4. Torgerson PR, Mastroiacovo P. The global burden of congenital toxoplasmosis: a systematic review. Bull World Health Organ. 2013;91:501–8.

    PubMed  PubMed Central  Google Scholar 

  5. Schlüter D, Däubener W, Schares G, Gross U, Pleyer U, Lüder C. Animals are key to human toxoplasmosis. Int J Med Microbiol. 2014;304:917–29.

    PubMed  Google Scholar 

  6. Maenz M, Schlüter D, Liesenfeld O, Schares G, Gross U, Pleyer U. Ocular toxoplasmosis past, present and new aspects of an old disease. Prog Retin Eye Res. 2014;39:77–106.

    CAS  PubMed  Google Scholar 

  7. Robert-Gangneux F, Darde ML. Epidemiology of and diagnostic strategies for toxoplasmosis. Clin Microbiol Rev. 2012;25:264–96.

    CAS  PubMed  PubMed Central  Google Scholar 

  8. Stelzer S, Basso W, Silván JB, Ortega-Mora LM, Maksimov P, Gethmann J, et al. Toxoplasma gondii infection and toxoplasmosis in farm animals: risk factors and economic impact. Food Waterborne Parasitol. 2019;12:e00037.

    Google Scholar 

  9. Schares G, Bangoura B, Randau F, Goroll T, Ludewig M, Maksimov P, et al. High seroprevalence of Toxoplasma gondii and probability of detecting tissue cysts in backyard laying hens compared with hens from large free-range farms. Int J Parasitol. 2017;47:765–77.

    CAS  PubMed  Google Scholar 

  10. Dubey JP. Toxoplasmosis of animals and humans. 2nd ed. Boca Raton: CRC Press; 2010.

    Google Scholar 

  11. More G, Maksimov P, Pardini L, Herrmann DC, Bacigalupe D, Maksimov A, et al. Toxoplasma gondii infection in sentinel and free-range chickens from Argentina. Vet Parasitol. 2012;184:116–21.

    CAS  PubMed  Google Scholar 

  12. Dubey JP, Lehmann T, Lautner F, Kwok OC, Gamble HR. Toxoplasmosis in sentinel chickens (Gallus domesticus) in New England farms: seroconversion, distribution of tissue cysts in brain, heart, and skeletal muscle by bioassay in mice and cats. Vet Parasitol. 2015;214:55–8.

    CAS  PubMed  Google Scholar 

  13. Kapperud G, Jenum PA, Stray-Pedersen B, Melby KK, Eskild A, Eng J. Risk factors for Toxoplasma gondii infection in pregnancy: results of a prospective case-control study in Norway. Am J Epidemiol. 1996;144:405–12.

    CAS  PubMed  Google Scholar 

  14. Cook AJC, Gilbert RE, Buffolano W, Zufferey J, Petersen E, Jenum PA, et al. Sources of Toxoplasma infection in pregnant women: European multicentre case-control study. Br Med J. 2000;321:142–7.

    CAS  Google Scholar 

  15. Dubey JP, Hill DE, Jones JL, Hightower AW, Kirkland E, Roberts JM, et al. Prevalence of viable Toxoplasma gondii in beef, chicken, and pork from retail meat stores in the United States: risk assessment to consumers. J Parasitol. 2005;91:1082–93.

    CAS  PubMed  Google Scholar 

  16. Dubey JP, Laurin E, Kwowk OC. Validation of the modified agglutination test for the detection of Toxoplasma gondii in free-range chickens by using cat and mouse bioassay. Parasitology. 2016;143:314–9.

    CAS  PubMed  Google Scholar 

  17. Zhu J, Yin J, Xiao Y, Jiang N, Ankarlev J, Lindh J, et al. A sero-epidemiological survey of Toxoplasma gondii infection in free-range and caged chickens in northeast China. Vet Parasitol. 2008;158:360–3.

    PubMed  Google Scholar 

  18. Millar PR, Alves FMX, Teixeira VQ, Vicente RT, Menezes EM, Sobreiro LG, et al. Occurrence of infection withToxoplasma gondii and factors associated with transmission in broiler chickens and laying hens in different raising systems. Pesqui Vet Bras. 2012;32:231–6.

    Google Scholar 

  19. Magalhaes FJ, da Silva JG, Ribeiro-Andrade M, Pinheiro JWJ, Aparecido Mota R. High prevalence of toxoplasmosis in free-range chicken of the Fernando de Noronha Archipelago, Brazil. Acta Trop. 2016;159:58–61.

    PubMed  Google Scholar 

  20. Salant H, Yasur-Landau D, Baneth G, Spira DT, Hamburger J. A seroprevalence study of Toxoplasma gondii in some bird and animal species of Israel and its possible reflection on environmental contamination. Isr J Vet Med. 2016;71:16–9.

    Google Scholar 

  21. Casartelli-Alves L, Boechat VC, Macedo-Couto R, Ferreira LC, Nicolau JL, Neves LB, et al. Sensitivity and specificity of serological tests, histopathology and immunohistochemistry for detection of Toxoplasma gondii infection in domestic chickens. Vet Parasitol. 2014;204:346–51.

    CAS  PubMed  Google Scholar 

  22. Schares G, Koethe M, Bangoura B, Geuthner AC, Randau F, Ludewig M, et al. Toxoplasma gondii infections in chickens - performance of various antibody detection techniques in serum and meat juice relative to bioassay and DNA detection methods. Int J Parasitol. 2018;48:751–62.

    CAS  PubMed  Google Scholar 

  23. Graham H, Chandler DJ, Dunbar SA. The genesis and evolution of bead-based multiplexing. Methods. 2019;158:2–11.

    CAS  PubMed  Google Scholar 

  24. Burg JL, Perelman D, Kasper LH, Ware PL, Boothroyd JC. Molecular analysis of the gene encoding the major surface antigen of Toxoplasma gondii. J Immunol. 1988;141:3584–91.

    CAS  PubMed  Google Scholar 

  25. Jurankova J, Opsteegh M, Neumayerova H, Kovarcik K, Frencova A, Balaz V, et al. Quantification of Toxoplasma gondii in tissue samples of experimentally infected goats by magnetic capture and real-time PCR. Vet Parasitol. 2013;193:95–9.

    CAS  PubMed  Google Scholar 

  26. Lunde MN, Jacobs L. Antigenic differences between endozoites and cystozoites of Toxoplasma gondii. J Parasitol. 1983;69:806–8.

    CAS  PubMed  Google Scholar 

  27. Howe DK, Sibley LD. Toxoplasma gondii comprises three clonal lineages: correlation of parasite genotype with human disease. J Infect Dis. 1995;172:1561–6.

    CAS  PubMed  Google Scholar 

  28. Geuthner AC, Koethe M, Ludewig M, Pott S, Schares G, Daugschies A, et al. Persistence of Toxoplasma gondii tissue stages in poultry over a conventional fattening cycle. Parasitology. 2014;141:1359–64.

    CAS  PubMed  Google Scholar 

  29. Opsteegh M, Langelaar M, Sprong H, den Hartog L, De Craeye S, Bokken G, et al. Direct detection and genotyping of Toxoplasma gondii in meat samples using magnetic capture and PCR. Int J Food Microbiol. 2010;139:193–201.

    CAS  PubMed  Google Scholar 

  30. Dubey JP. Refinement of pepsin digestion method for isolation of Toxoplasma gondii from infected tissues. Vet Parasitol. 1998;74:75–7.

    CAS  PubMed  Google Scholar 

  31. Legnani S, Pantchev N, Forlani A, Zini E, Schares G, Balzer J, et al. Emergence of cutaneous neosporosis in a dog receiving immunosuppressive therapy: molecular identification and management. Vet Dermatol. 2016. https://doi.org/10.1111/vde.12273.

    Article  PubMed  Google Scholar 

  32. Schares G, Herrmann DC, Maksimov P, Matzkeit B, Conraths FJ, Moré G, et al. Chicken line-dependent mortality after experimental infection with three type IIxIII recombinant Toxoplasma gondii clones. Exp Parasitol. 2017;180:101–11.

    CAS  PubMed  Google Scholar 

  33. Talabani H, Asseraf M, Yera H, Delair E, Ancelle T, Thulliez P, et al. Contributions of immunoblotting, real-time PCR, and the Goldmann-Witmer coefficient to diagnosis of atypical toxoplasmic retinochoroiditis. J Clin Microbiol. 2009;47:2131–5.

    CAS  PubMed  PubMed Central  Google Scholar 

  34. Dubey JP, Desmonts G. Serological responses of equids fed Toxoplasma gondii oocysts. Equine Vet J. 1987;19:337–9.

    CAS  PubMed  Google Scholar 

  35. Hosseininejad M, Azizi HR, Hosseini F, Schares G. Development of an indirect ELISA test using a purified tachyzoite surface antigen SAG1 for sero-diagnosis of canine Toxoplasma gondii infection. Vet Parasitol. 2009;164:315–9.

    CAS  PubMed  Google Scholar 

  36. Maksimov P, Buschtöns S, Herrmann DC, Conraths FJ, Görlich K, Tenter AM, et al. Serological survey and risk factors for Toxoplasma gondii in domestic ducks and geese in Lower Saxony. Germany. Vet Parasitol. 2011;182:140–9.

    CAS  PubMed  Google Scholar 

  37. Klein S, Stern D, Seeber F. Expression of in vivo biotinylated recombinant antigens SAG1 and SAG2A from Toxoplasma gondii for improved seroepidemiological bead-based multiplex assays. Under review. 2020 (preprint at https://www.researchsquare.com/article/rs-33963/v1; https://doi.org/10.21203/rs.3.rs-33963/v1).

  38. Angeloni S, Cordes R, Dunbar S, Garcia C, Gibson G, Martin C, et al. xMAP® Cookbook. 3rd ed. Austin: Luminex Corp; 2016.

    Google Scholar 

  39. Garg M, Stern D, Gross U, Seeberger PH, Seeber F, Varon Silva D. Detection of anti-Toxoplasma gondii antibodies in human sera using synthetic glycosylphosphatidylinositol glycans on a bead-based multiplex assay. Anal Chem. 2019;91:11215–22.

    CAS  PubMed  PubMed Central  Google Scholar 

  40. Youden D. Index for rating diagnostic tests. Cancer. 1950;3:32–5.

    CAS  PubMed  Google Scholar 

  41. Watson DS, Reddy SM, Brahmakshatriya V, Lupiani B. A multiplexed immunoassay for detection of antibodies against avian influenza virus. J Immunol Methods. 2009;340:123–31.

    CAS  PubMed  Google Scholar 

  42. Wang H, Cong F, Guan J, Xiao L, Zhu Y, Lian Y, et al. Development of a sensitive and specific xMAP assay for detection of antibodies against infectious laryngotracheitis and bronchitis viruses. Virol J. 2018;15:146.

    PubMed  PubMed Central  Google Scholar 

  43. Wang H, Cong F, Guan J, Xiao L, Zhu Y, Lian Y, et al. Establishment of xMAP for the simultaneous detection of antibodies to Newcastle disease virus and avian influenza virus. Poult Sci. 2019;98:1494–9.

    CAS  PubMed  Google Scholar 

  44. Germeraad E, Achterberg R, Venema S, Post J, de Leeuw O, Koch G, et al. The development of a multiplex serological assay for avian influenza based on Luminex technology. Methods. 2019;158:54–60.

    CAS  PubMed  Google Scholar 

  45. Bokken GC, Bergwerff AA, van Knapen F. A novel bead-based assay to detect specific antibody responses against Toxoplasma gondii and Trichinella spiralis simultaneously in sera of experimentally infected swine. BMC Vet Res. 2012;8:36.

    PubMed  PubMed Central  Google Scholar 

  46. Bokken GC, Portengen L, Cornelissen JB, Bergwerff AA, van Knapen F. Bayesian estimation of diagnostic accuracy of a new bead-based antibody detection test to reveal Toxoplasma gondii infections in pig populations. Vet Parasitol. 2015;207:1–6.

    CAS  PubMed  Google Scholar 

  47. Appiah-Kwarteng C, Saito T, Toda N, Kitoh K, Nishikawa Y, Adenyo C, et al. Native SAG1 in Toxoplasma gondii lysates is superior to recombinant SAG1 for serodiagnosis of T. gondii infections in chickens. Parasitol Int. 2019;69:114–20.

    CAS  PubMed  Google Scholar 

  48. Velmurugan GV, Tewari AK, Rao JR, Baidya S, Kumar MU, Mishra AK. High-level expression of SAG1 and GRA7 gene of Toxoplasma gondii (Izatnagar isolate) and their application in serodiagnosis of goat toxoplasmosis. Vet Parasitol. 2008;154:185–92.

    CAS  PubMed  Google Scholar 

  49. Kimbita EN, Xuan X, Huang X, Miyazawa T, Fukumoto S, Mishima M, et al. Serodiagnosis of Toxoplasma gondii infection in cats by enzyme-linked immunosorbent assay using recombinant SAG1. Vet Parasitol. 2001;102:35–44.

    CAS  PubMed  Google Scholar 

  50. Chong CK, Jeong W, Kim HY, An DJ, Jeoung HY, Ryu JE, et al. Development and clinical evaluation of a rapid serodiagnostic test for toxoplasmosis of cats using recombinant SAG1 antigen. Korean J Parasitol. 2011;49:207–12.

    CAS  PubMed  PubMed Central  Google Scholar 

  51. Sudan V, Tewari AK, Singh H. Serodiagnosis of Toxoplasma gondii infection in bovines from Kerala, India using a recombinant surface antigen 1 ELISA. Biologicals. 2015;43:250–5.

    CAS  PubMed  Google Scholar 

  52. Ferreira SCM, Torelli F, Klein S, Fyumagwa R, Karesh WB, Hofer H, et al. Evidence of high exposure to Toxoplasma gondii in free-ranging and captive African carnivores. Int J Parasitol Parasites Wildl. 2019;8:111–7.

    PubMed  Google Scholar 

  53. Seltmann A, Schares G, Aschenborn OHK, Heinrich SK, Thalwitzer S, Wachter B, et al. Species-specific differences in Toxoplasma gondii, Neospora caninum and Besnoitia besnoiti seroprevalence in Namibian wildlife. Parasit Vectors. 2020;13:7.

    CAS  PubMed  PubMed Central  Google Scholar 

  54. Holec-Gasior L. Toxoplasma gondii recombinant antigens as tools for serodiagnosis of human toxoplasmosis: current status of studies. Clin Vaccine Immunol. 2013;20:1343–51.

    PubMed  PubMed Central  Google Scholar 

  55. Tzanidakis N, Maksimov P, Conraths FJ, Kiossis E, Brozos C, Sotiraki S, et al. Toxoplasma gondii in sheep and goats: seroprevalence and potential risk factors under dairy husbandry practices. Vet Parasitol. 2012;190:340–8.

    PubMed  Google Scholar 

  56. Seeber F, Dubremetz JF, Boothroyd JC. Analysis of Toxoplasma gondii stably transfected with a transmembrane variant of its major surface protein, SAG1. J Cell Sci. 1998;111:23–9.

    CAS  PubMed  Google Scholar 

  57. Graille M, Stura EA, Bossus M, Muller BH, Letourneur O, Battail-Poirot N, et al. Crystal structure of the complex between the monomeric form of Toxoplasma gondii surface antigen 1 (SAG1) and a monoclonal antibody that mimics the human immune response. J Mol Biol. 2005;354:447–58.

    CAS  PubMed  Google Scholar 

  58. Hotop A, Buschtöns S, Bangoura B, Zöller B, Koethe M, Spekker-Bosker K, et al. Humoral immune responses in chickens and turkeys after infection with Toxoplasma gondii by using recombinant antigens. Parasitol Res. 2014;113:1473–80.

    PubMed  Google Scholar 

  59. Christopher-Hennings J, Araujo KP, Souza CJ, Fang Y, Lawson S, Nelson EA, et al. Opportunities for bead-based multiplex assays in veterinary diagnostic laboratories. J Vet Diagn Invest. 2013;25:671–91.

    PubMed  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the staff of the Institute of Parasitology, University of Leipzig, Germany, for excellent technical assistance and Sandra Klein for providing purified TgSAG1bio. We thank Andrea Bärwald, Sebastian Press and Mareen Tuschy for conducting the laboratory analyses.

Funding

This study was supported by the German Federal Ministry of Education and Research (Toxonet01 and Toxonet02) by funds to MK (01KI1002C) and GS (01KI0765 and 01KI1002F). Further funding for this work was provided by the German One-Health Initiative (GOHI) via the Robert Koch-Institut to BTF and the Friedrich-Loeffler-Institut to FH. BTF is an associated member of and receives funding from the Research Training Group 2046 “Parasite Infections: From Experimental Models to Natural Systems” funded by the Deutsche Forschungsgemeinschaft (DFG)—Project Number 251133687/ GRK 2046. FS and GS are part of the TOXOSOURCES consortium, supported by funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 773830: One Health European Joint Programme.

Author information

Authors and Affiliations

Authors

Contributions

GS and FS designed the study. BTF, FH, BB and GS collected the data. BTF, FH, FS, MK, PM, BB, GS, IV and DA performed experiments and analyzed the samples. GS, BTF and MK statistically analyzed the data. BTF, FS, MK, BB and GS interpreted the data. GS, FS, FJC and BTF made major contributions to the writing of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Gereon Schares.

Ethics declarations

Ethics approval and consent to participate

All infection experiments in cats, chickens and CD-1 mice had been ethically approved (Landesdirektion Leipzig, Germany, trial no. TVV 29/10). Care and maintenance of animals were in accordance with governmental and institutional guidelines. All mouse bioassay experiments reported in this publication were approved by the “Landesamt für Landwirtschaft, Lebensmittelsicherheit und Fischerei” of the German Federal State of Mecklenburg-Western Pomerania (permit 7221.3-2.5-001/13). Care and maintenance of animals were in accordance with governmental and institutional guidelines.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1: Table S1.

Data table containing information and serological results on experimental chickens. Table S2. Data table containing information and serological results on naturally exposed chickens.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fabian, B.T., Hedar, F., Koethe, M. et al. Fluorescent bead-based serological detection of Toxoplasma gondii infection in chickens. Parasites Vectors 13, 388 (2020). https://doi.org/10.1186/s13071-020-04244-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13071-020-04244-6

Keywords