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. 2023 Mar 30;16:115. doi: 10.1186/s13071-023-05727-y

Global prevalence and species diversity of tick-borne pathogens in buffaloes worldwide: a systematic review and meta-analysis

El-Sayed El-Alfy 1, Ibrahim Abbas 1, Rana Elseadawy 1, Somaya Saleh 1, Bassem Elmishmishy 1, Shimaa Abd El-Salam El-Sayed 2, Mohamed Abdo Rizk 3,
PMCID: PMC10061416  PMID: 36998029

Abstract

Background

Buffaloes are important contributors to the livestock economy in many countries, particularly in Asia, and tick-borne pathogens (TBPs) commonly infect buffaloes, giving rise to serious pathologies other than their zoonotic potential.

Methods

The present investigation focuses on the prevalence of TBPs infecting buffaloes worldwide. All published global data on TBPs in buffaloes were collected from different databases (e.g., PubMed, Scopus, ScienceDirect, and Google Scholar) and subjected to various meta-analyses using OpenMeta[Analyst] software, and all analyses were conducted based on a 95% confidence interval.

Results

Over 100 articles discussing the prevalence and species diversity of TBPs in buffaloes were retrieved. Most of these reports focused on water buffaloes (Bubalus bubalis), whereas a few reports on TBPs in African buffaloes (Syncerus caffer) had been published. The pooled global prevalence of the apicomplexan parasites Babesia and Theileria, as well as the bacterial pathogens Anaplasma, Coxiella burnetii, Borrelia, Bartonella, and Ehrlichia in addition to Crimean-Congo hemorrhagic fever virus, were all evaluated based on the detection methods and 95% confidence intervals. Interestingly, no Rickettsia spp. were detected in buffaloes with scarce data. TBPs of buffaloes displayed a fairly high species diversity, which underlines the high infection risk to other animals, especially cattle. Babesia bovis, B. bigemina, B. orientalis, B. occultans and B. naoakii, Theileria annulata, T. orientalis complex (orientalis/sergenti/buffeli), T. parva, T. mutans, T. sinensis, T. velifera, T. lestoquardi-like, T. taurotragi, T. sp. (buffalo) and T. ovis, and Anaplasma marginale, A. centrale, A. platys, A. platys-like and “Candidatus Anaplasma boleense” were all were identified from naturally infected buffaloes.

Conclusions

Several important aspects were highlighted for the status of TBPs, which have serious economic implications for the buffalo as well as cattle industries, particularly in Asian and African countries, which should aid in the development and implementation of prevention and control methods for veterinary care practitioners, and animal owners.

Graphical Abstract

graphic file with name 13071_2023_5727_Figa_HTML.jpg

Supplementary Information

The online version contains supplementary material available at 10.1186/s13071-023-05727-y.

Keywords: Tick-borne pathogens, Buffaloes, Meta-analysis, Babesia, Theileria, Anaplasma

Background

Along with cattle, buffaloes are important members of the subfamily Bovinae, and include various species, of which water buffaloes (Bubalus bubalis) are the most important and widely distributed worldwide over 77 countries on five continents, with a population exceeding 200 million [1, 2]. Water buffaloes (also known as domestic water buffalo or Asian buffalo) have two genetically distinct subspecies: river buffalo (81.5% of the global population) and swamp buffalo (18.5%) [2, 3]. The former is native to the Indian subcontinent [4] and has spread west, across southwestern Asia, Egypt, and Anatolia, and reached the Balkans and the Italian peninsula [5, 6]. Swamp buffaloes are predominant in Southeast Asia and Australia [4, 5, 7, 8]. The global water buffalo population is concentrated mostly in Asia (196 million) [4]. Smaller numbers are reared in Africa (3.4 million) and South America (2.0 million). Another buffalo species, Syncerus caffer (the African buffalo), lives in sub-Saharan Africa [9]; however, its numbers have been severely reduced since the eighteenth century as a result of the combined effects of anthropogenic pressures (e.g., land conversion), disease outbreaks, and climatic changes [10]. Although water buffaloes are mostly reared for milk production, they also contribute to the global meat sector, with around 4.3 million tons annually [11]. In some regions, buffaloes serve as working animals in various agricultural fields.

Tick-borne diseases (TBDs) are significant factors limiting the development of livestock industries worldwide, resulting in annual economic losses that can be estimated in billions of dollars [12, 13]. For example, the annual economic loss due to TBDs infecting cattle in Tanzania has been estimated at US$ 364 million [14]. Tick-borne pathogens (TBPs) pose a significant threat to buffalo health and production other than their zoonotic risks. In recent years, much progress has been made in the characterization and taxonomic justification of TBPs infecting buffaloes worldwide. Nonetheless, studies detailing various epidemiological aspects of TBPs infecting buffaloes are scarce. The present study provides a systematic review and meta-analysis of the global published data on TBPs infecting buffaloes worldwide, which should be useful for interpreting the epidemiology of this important group of pathogens.

Methods

Search strategy

The international databases PubMed, Scopus, ScienceDirect, and Google Scholar were systematically searched for studies on TBPs infecting buffaloes, with no date limit. The search was refined by article language (English) and type (research articles). Various keywords were used for the search: ticks; tick-borne pathogens; tick-borne diseases; Anaplasma, anaplasmosis; Babesia, babesiosis; Theileria, theileriosis; CCHF, Crimean-Congo hemorrhagic fever; Coxiella burnetii, Q fever; Ehrlichia, ehrlichiosis; Rickettsia, rickettsioses; Borrelia, borreliosis. These keywords were used in combination with the word “buffaloes,” and connected using the Boolean operators “AND” and “OR.”

Eligibility criteria

The collected publications were screened for inclusion independently by two of the authors, and any article with disagreement was discussed with a third author (Fig. 1). Studies were considered eligible to be included in this meta-analysis when (1) the study investigated TBPs in samples from buffaloes, either water (B. bubalis) or African (S. caffer) species, and (2) the study defined the number of examined buffaloes and number of positives. Studies on TBPs in animals other than buffaloes or those with inadequate methodologies were considered ineligible, and articles of non-original contributions including reviews, book chapters, and seminars were also excluded.

Fig. 1 .

Fig. 1 

Flow diagram established according to PRISMA [Preferred Reporting Items for Systematic Reviews and Meta-Analyses] guidelines and displaying the search and selection methodology

Data extraction

Data from eligible studies on TBPs of buffaloes were independently extracted and organized in a Microsoft Excel® spreadsheet by two of the authors. Any disagreement was resolved by consensus. The following information was extracted: authors, publication year, study subregion/country, number of tested samples, number of positive samples, detection methods employed, and various TBPs detected as well as the genetic markers (where recorded). Authors of the included articles were not contacted for further information, and no data conversions were conducted in the present study.

Meta-analysis

Data tabulated in the Excel spreadsheets were used for various meta-analyses conducted in the present study using OpenMeta[Analyst] software [15], and all analyses were conducted based on a 95% confidence interval (CI). The prevalence for various TBPs was calculated as “a pooled estimate” using the random-effects model associated with the DerSimonian–Laird method [16]. The heterogeneity between studies was estimated based on the I2 statistic. The heterogeneity values were considered high when I2 exceeded 50% [17, 18]. Subgroup analyses were conducted to detect the source of heterogeneity and included the variation in prevalence among various worldwide regions and the detection method. Publication bias was not assessed in the present study because it is not considered relevant for prevalence studies [19].

Results and discussion

Eligible studies

Data from 116 studies were found eligible to describe the TBPs infecting buffaloes worldwide, employing various detection methods [20135]. Of these studies, 107 were used for meta-analysis (Fig. 1), and nine were not included [42, 69, 91, 103, 104, 108, 116, 119, 123] for the following reasons: the piroplasm was not identified even to the genus (n = 2), undefined mixed infections (n = 4), and double testing of the samples to identify two separate species of the same genus (n = 3). The country-wise distribution of these studies correlated with the number of reared buffaloes. The majority of these studies (n = 75) came from Asia [43117], including India (21), Pakistan (13), China (10), Thailand (8), the Philippines (6), Vietnam (6), Iran (3), Sri Lanka (3), Iraq (1), Malaysia (1), Myanmar (1), Turkey (1), and Laos (1). Twenty-three studies were conducted in Africa [2042], around two thirds (n = 15) of them came from Egypt [2135], and a few studies were conducted in South Africa (3), Botswana (1), Kenya (1), Namibia (1), Tanzania (1), and Uganda (1). A few surveys (n = 12) were conducted on buffaloes from South America [124135] including Brazil (9), Colombia (2), and Argentina (1). The lowest number (n = 4) of the eligible studies came from Europe [118121]: Hungary (2), the Czech Republic (1), and Italy (1). Likewise, isolated surveys were conducted on buffaloes from North America (2), Cuba (1), and Mexico (1) (Additional file 1: Table S1). These studies comprised 145 datasets according to the detection method used, which included 57 datasets on Babesia spp., 48 on Theileria spp., 41 for Anaplasma spp., 15 for Coxiella burnetii, and 22 for miscellaneous TBPs (e.g., bacterial pathogens; Borrelia, Bartonella, Ehrlichia, and Rickettsia spp., and Crimean-Congo hemorrhagic fever virus [CCHFV]). Although data were divided into subgroups of investigated regions by continent, many studies did not include the buffalo species. As a result, data were not classified according to buffalo species, particularly African (S. caffer) and Asian (B. bubalis) buffaloes.

Piroplasmids

Ticks can transmit a variety of Babesia and Theileria piroplasmids, which can cause serious infections as well as economic consequences in livestock worldwide [136138]. Microscopy detection of these piroplasmids has little significance in the identification of various species [136, 139]. In contrast, molecular diagnostic technologies provide rapid, sensitive, and accurate species delimitation [140, 141]. Alternatively, to detect parasite-specific antibodies, serological diagnostic procedures such as the enzyme-linked immunosorbent assay (ELISA) and indirect immunofluorescence antibody test (IFAT) can be used [142, 143]. However, the presence of antibodies as a marker of earlier parasite exposure does not always correspond to the current infectious condition, as antibodies usually persist for variable periods of time [143]. Four methods have been used for the direct detection of Babesia piroplasm in the blood of infected buffaloes worldwide (Additional file 2: Fig. S1). In total, 25 datasets screened Babesia spp. DNA in the blood of 3593 buffaloes worldwide, and 460 cases were found infected, resulting in a pooled global prevalence of 12.0% (95% CI 9.2–14.7%). This prevalence was slightly higher than that estimated for 5517 buffaloes diagnosed using microscopy (i.e., stained blood smears) in 15 datasets; 654 animals were found positive, with a pooled prevalence of 10.0% (95% CI 7.0–13.0%). Asymptomatic carrier animals in which no parasitemia could be found by microscopic examination led to a high false-negative diagnosis rate [137, 144]. Contrastingly, polymerase chain reaction (PCR) enabled sensitive and precise detection of various Theileria and Babesia species in carrier animals [144148].

Three datasets used the reverse line blot hybridization (RLB) assay to test 429 animals, yielding a lower prevalence of 5.9%. On the contrary, a comparatively high prevalence (18.2%) was detected when a single dataset used the loop-mediated isothermal amplification (LAMP) assay on 165 animals (Table 1). Sero-surveys were also conducted to detect Babesia in the blood of buffaloes using various tests (e.g., ELISA, IFAT, and latex agglutination test [LAT]). Enzyme-linked immunosorbent assay was used to test 1633 serum samples in 10 datasets, and 743 were found positive for antibodies against Babesia spp., with a pooled prevalence of 32.7% (95% CI 13.2–52.2%). The highest prevalence was estimated with serology, which is similar to a previous report [149]. This could be due to the nature of the disease, since naturally infected animals that survive the acute disease continue to be healthy carriers of the parasites with low parasitemia [143]. Therefore, the animals may be seropositive while evading detection by direct tests; in terms of sensitivity, microscopy has the lowest, followed by direct PCR, and nested PCR [142, 143]. Among molecular techniques, real-time PCR (qPCR) has shown better sensitivity and specificity [143]; however, the sensitivity depends on many factors, including target gene, origin of the sample, and level of parasitemia. Overall, the number of datasets detailing the prevalence of Babesia in buffaloes from Asian countries (n = 41) was four times that obtained from African (n = 10) or South American (n = 6) countries (Table 1). Not all datasets named the species of buffaloes tested; however, all datasets (n = 10) in Africa came from Egypt, and it can be assumed that all investigated buffaloes belonged to the Asian species (B. bubalis).

Table 1.

Worldwide prevalence of Babesia infection in buffaloes, and variation in prevalence in relation to the detection method

Parameter No. datasets No. tested No. positive Pooled estimate % based on 95% CI Heterogeneity I2%
Overall prevalence 57
 Blood smear 15 5517 654 10.0 (7.0–13.0) 98.11
 PCR 25 3593 460 12.0 (9.2–14.7) 95.33%
 RLB 3 429 46 5.9 (−1.8 to 13.7) 93.22%
 LAMP 1 165 30 18.2 (12.3–24.1) NA
 ELISA 10 1633 743 32.7 (13.2–52.2) 98.93%
 IFAT 2 163 46 29.5 (18.0–41.1) 53.07%
 LAT 1 314 166 52.9 (47.3–58.4) NA
Regional prevalence
Africa 10
 Blood smear 2 93 15 40.1 (−26.1 to 106.3) 96.39%
 PCR 4 313 18 4.1 (0.2–8.0) 74.42%
 RLB 1 85 2 2.4 (−0.9 to 5.6) NA
 ELISA 3 421 180 37.7 (18.2–57.1) 94.05%
Asia 41
 Blood smear 13 5424 639 9.2 (6.1–12.3) 98.29%
 PCR 17 2446 248 10.2 (7.4–13.0) 93.79%
 RLB 2 344 44 7.8 (−5.2 to 20.8) 96.01%
 LAMP 1 165 30 18.2 (12.3–24.1) NA
 ELISA 5 567 119 22.2 (11.1–33.2) 92.05%
 IFAT 2 163 46 29.5 (18.0–41.1) 53.07%
 LAT 1 314 166 52.9 (47.3–58.4) NA
South America 6
 PCR 4 834 194 25.4 (5.6–45.3) 98.16%
 ELISA 2 645 444 49.3 (3.5–63.5) 99.43%

NA not applicable

Babesia bovis and B. bigemina were the most frequently investigated and detected species in buffaloes based on either PCR sequencing or serological protocols, and B. orientalis were identified to a lesser extent (Additional file 1: Table S1). Babesia bovis and B. bigemina were the most common species in bovines worldwide. They are primarily found in tropical and subtropical regions of the world, including Australia, Africa, Asia, and the Americas, and are transmitted by the tick vectors Rhipicephalus (Boophilus) microplus and R. annulatus, and R. decoloratus for B. bigemina alone [149, 150]. Other species included B. occultans and Babesia sp. Mymensingh. Of note, Babesia sp. Mymensingh was recently named Babesia naoakii [151].

A large number of datasets were also found describing Theileria infections in buffaloes based either on direct detection methods (e.g., blood smear, PCR, RLB, LAMP) or serological assays for screening antibodies (e.g., ELISA and IFAT) (Additional file 3: Fig. S2). Like Babesia, the pooled global prevalence based on 3427 samples tested using PCR (24.6%; 95% CI 18.7–30.4%) was higher than that detected in 2447 samples tested microscopically (16.2%; 95% CI 10.6–21.9%) (Table 2). On the other hand, the estimated prevalence for ELISA-tested samples (n = 578) was 20.9% (95% CI 8.7–33.2%). Overall, the prevalence rates were much higher in Africa (12 datasets) than in Asia (34 datasets) for samples tested using either microscopy (66.7% and 13.4%, respectively) or PCR (42.0% and 20.7%, respectively); however, similar prevalence was estimated for both continents based on samples tested using the RLB (35.1 and 35.5%, respectively) (Table 2). Notably, the regional variation in the prevalence of Theileria spp. and Babesia spp. between Africa and Asia may be attributed to the difference in the number of datasets used and the species of buffaloes reared in Africa (B. bubalis and S. caffer) in comparison with the species reared in Asia (B. bubalis).

Table 2.

Worldwide prevalence of Theileria infection in buffaloes, and variation in prevalence in relation to the detection method

Parameter No. datasets No. tested No. positive Pooled estimate % based on 95% CI Heterogeneity I2 %
Overall prevalence 48
 Blood smear 11 2447 378 16.2 (10.6–21.9) 97.9%
 PCR 27 3427 902 24.6 (18.7–30.4) 99.24%
 RLB 4 681 265 35.6 (3.3–67.8) 99.41%
 LAMP 2 254 73 28.7 (23.1–34.3) 0%
 ELISA 2 578 109 20.9 (8.7–33.2) 90.83%
 IFAT 2 127 99 85.9 (63.0–108.9) 94.54%
Regional prevalence
Africa 12
 Blood smear 1 30 20 66.7 (49.8–83.5) NA
 PCR 7 456 202 42.0 (13.2–70.8) 99.53%
 RLB 2 337 175 35.1 (−31.5 to 101.6) 99.79%
 IFAT 2 127 99 85.9 (63.0–108.9) 94.54%
Asia 34
 Blood smear 10 2417 358 13.4 (7.9–18.9) 97.87%
 PCR 18 2376 686 20.7 (12.6–28.8) 99.14%
 RLB 2 344 90 35.5 (9.1–61.8) 90.61%
 LAMP 2 254 73 28.7 (23.1–34.3) 0%
 ELISA 2 578 109 20.9 (8.7–33.2) 90.83%
South America (PCR) 2 595 14 2.1 (−1.7 to 5.9) 90.44%

NA not applicable

Buffaloes have been found infected with different Theileria species, including Theileria annulata, T. orientalis complex (orientalis/sergenti/buffeli), and T. parva among the most frequently detected. Theileria annulata and T. parva (the causative agents of tropical or Mediterranean and East Coast fevers, respectively) are the most pathogenic species in bovines, whereas other species frequently cause asymptomatic infections in this host group [152]. Based on 18S ribosomal RNA sequences, phylogenetic analysis of Theileria genotypes reveals that the T. buffeli clade has the most genotypes and is found on all major continents, infecting cattle, African buffalo, water buffalo, and yak [137, 153, 154]. Members of this clade have previously been given a variety of species names, including T. buffeli, T. orientalis, and T. sergenti, and their taxonomy is debatable, but they have been proposed to constitute a single species known as T. buffeli [137, 153, 155] or T. orientalis complex in many other reports. Theileria mutans, T. sinensis, T. velifera, T. lestoquardi-like, T. taurotragi, T. sp. (buffalo), and T. ovis were also detected in naturally infected buffaloes.

Anaplasma species

Anaplasmosis is an emerging infection that is gaining attention around the world because it affects animal body weight, causes abortions, reduces milk production, and leads to the death of animals [156]. Clinical disease is most common in cattle, although other ruminants, including water buffalo, could become persistently infected [157]. Anaplasma marginale was the most common tick-borne infection in buffaloes, and was considered the most widespread TBP globally in bovines, producing mild to severe hemolytic disease with significant economic loss [12, 158]. Forty-one datasets described Anaplasma infections in buffaloes, which represented the third most frequently tested TBPs in buffaloes worldwide after Babesia and Theileria, respectively (Additional file 4: Fig. S3). Anaplasma spp. were PCR-detected at a much higher rate than when microscopically detected (Table 3). Using blood smears, 886 samples in eight datasets were examined, and 118 were found positive resulting in pooled prevalence of 8.8% (95% CI 3.0–14.5%), whereas 5219 blood samples in 28 datasets were screened for Anaplasma DNA and 1330 were found positive with a pooled prevalence of 21.0% (95% CI 16.5–25.4%). Additionally, four datasets tested 868 serum samples using ELISA for the detection of Anaplasma spp., and 357 were found positive, giving rise to a prevalence of 27.8% (95% CI 2.4–53.2%). Moreover, RLB was used in a single study from Egypt for detection of A. marginale, with a prevalence rate of 42.4% (36/85), which is much higher than that of any other method.

Table 3.

Worldwide prevalence of Anaplasma infection in buffaloes, and variation in prevalence in relation to the detection method

Parameter No. datasets No. tested No. positive Pooled estimate % based on 95% CI Heterogeneity I2 %
Overall prevalence 41
 Blood smear 8 886 118 8.8 (3.0–14.5) 91.97%
 PCR 28 5219 1330 21.0 (16.5–25.4) 98.79%
 RLB 1 85 36 42.4 (31.8–52.9) NA
 ELISA 4 868 357 27.8 (2.4–53.2) 98.85%
Regional prevalence
Africa 7
 Blood smear 1 85 2 2.4 (−0.9 to 5.6) NA
 PCR 5 1094 472 30.6 (3.1–58.2) 99.37%
 RLB 1 85 36 42.4 (31.8–52.9) NA
Asia 26
 Blood smear 7 801 116 9.8 (3.0–16.5) 92.37%
 PCR 16 2638 730 22.2 (14.8–29.6) 98.57%
 ELISA 3 368 112 20.6 (−5.5 to 46.8 98.08%
South America 6
 PCR 5 1339 82 6.9 (2.2–11.5) 94.96%
 ELISA 1 500 245 49.0 (44.6–53.4) NA
North America (PCR) 1 88 46 52.3 (41.8–62.7) NA
Europe (PCR) 1 60 0 0.8 (−1.4 to 3.1) NA

NA not applicable

In Africa, most studies relied on PCR for diagnosis of Anaplasma species, where 472 out of 1094 samples were found infected, with a pooled prevalence of 30.6% (95% CI 3.1–58.2%). The African buffalo was investigated in a single study from South Africa (Additional file 1: Table S1). Regarding Asia, PCR and ELISA were used in 16 and three datasets, respectively, with a nearly equal prevalence (22.2% and 20.6%, respectively), while lower prevalence was estimated based on microscopy (9.8%). Anaplasma marginale, A. centrale, A. platys, A. platys-like, and “Candidatus Anaplasma boleense” were recovered from infected buffaloes, with A. marginale being the most frequently investigated and detected species. Anaplasma platys and A. platys-like were detected in infected water buffaloes from Egypt, Thailand, and Malaysia [31, 34, 80, 107]. Anaplasma centrale was found infecting water buffaloes from Pakistan [82], and African buffaloes in South Africa and Uganda [37, 42]. Additionally, “Candidatus A. boleense” was recorded in a single study in water buffaloes from Malaysia [80]. However, A. phagocytophilum has a broad host range including humans [159]; only one study investigated the parasite in 60 water buffaloes in Hungary, and no infection was detected by qPCR [120].

Coxiella burnetii

The intracellular Gram-negative bacterium Coxiella burnetii, which can be excreted in tick feces and saliva, is the cause of Q fever, a zoonotic infection that is globally transmitted [160, 161]. Because of the prevalence of this bacterium in ticks from different bioclimatic zones and socioeconomic contexts, it is clear that ticks play a significant role in the epidemiology of Q fever [162, 163]. Coxiella burnetii infection leads mainly to reproductive disorders including abortions, premature birth, stillbirth, and poor calf deliveries, which have a negative economic impact on livestock [164166]. Infection with C. burnetii in humans is typically asymptomatic or appears like the flu and can result in acute and chronic fever disease and pneumonia. It is mostly transmitted to humans by aerosolized dry, contaminated soil or animal products [160, 162, 166, 167].

Coxiella burnetii infections were tested in sera of buffaloes in six datasets worldwide using ELISA (five datasets) and IFAT (one set). A total of 987 sera were examined using ELISA, and 63 harbored the antibodies against C. burnetii, resulting in a pooled prevalence of 5.3% (95% CI 1.4–9.2%) (Table 4). The prevalence of Coxiella burnetii in buffaloes from Africa was higher (7.5%) than that in Asia (3.8%) based on ELISA. A higher number of samples were examined using PCR (1360 samples) including buffaloes’ blood, milk, vaginal discharges, vaginal and preputial swabs, placental cotyledons, and aborted fetuses (Additional file 1: Table S1), which were used for estimating the pooled prevalence (4.5%; 95% CI 1.9–7.1%). The detection of Coxiella burnetii in buffaloes’ sera along with the detection in raw milk [68, 69, 76] suggests that they can play a role in the transmission of Q fever to humans, but more extensive prevalence studies need to be carried out to define the role of buffaloes as reservoirs for this pathogen. Furthermore, the role of C. burnetii as an abortive agent in buffaloes has been suggested [121].

Table 4.

Worldwide prevalence of C. burnetii infection in buffaloes, and variation in prevalence in relation to the detection method

Parameter No. datasets No. tested No. positive Pooled estimate % based on 95% CI Heterogeneity I2 %
Overall prevalence 15
 PCR 9 1360 106 4.5 (1.9–7.1) 92.71%
 ELISA 5 987 63 5.3 (1.4–9.2) 91.54%
 IFAT 1 156 7 4.5 (1.2–7.7) NA
Regional prevalence
Africa 4
 PCR 2 52 0 1.9 (−1.7 to 5.4) 0%
 ELISA 2 457 40 7.5 (0.4–14.6) 89.14%
Asia 10
 PCR 6 1144 92 4.6 (1.5–7.6) 94.92%
 ELISA 3 530 23 3.8 (−0.3 to 7.9) 88.84%
 IFAT 1 156 7 4.5 (1.2–7.7) NA
Europe (PCR) 1 164 14 8.5 (4.3–12.8) NA

NA not applicable

Miscellaneous pathogens

Isolated surveys have detected a few potentially zoonotic TBPs infecting buffaloes worldwide (Table 5). Notably, 5617 sera from three datasets in Brazil were examined for Borrelia burgdorferi and 4157 were found to harbor antibodies, resulting in a pooled prevalence of 68.2% (95% CI 53.2–83.1%). PCR was used to screen B. burgdorferi sensu lato in eight buffaloes in the Czech Republic, and a single case was found infected (12.5%) in contrast to the examined 26 buffaloes in Egypt for Borrelia theileri, where no cases were found infected (Additional file 1: Table S1). Borrelia burgdorferi is a tick-borne obligatory parasite with a natural reservoir of a range of mammals, although, infection of these natural hosts does not result in disease; nonetheless, infection of humans can result in Lyme disease [168170].

Table 5.

Worldwide prevalence of miscellaneous tick-borne pathogens of buffaloes, and variation in prevalence in relation to the detection method

Pathogen Parameter No. datasets No. tested No. positive Pooled estimate % based on 95% CI Heterogeneity I2 %
Borrelia spp. Overall prevalence 5
 PCR 2 34 1 2.4 (−2.6 to 7.3) 0%
 iELISA 3 5617 4157 68.2 (53.2–83.1) 98.67%
Regional prevalence
 Africa (PCR) 1 26 0 1.9 (−3.2 to 6.9) NA
 South America (iELISA) 3 5617 4157 68.2 (53.2–83.1) 98.67%
 Europe (PCR) 1 8 1 12.5 (−10.4 to 35.4) NA
Bartonella spp.  Overall prevalence 5
 PCR 3 208 3 1.5 (−1.9 to 5.0) 42.93%
 Culture 1 103 7 6.8 (1.9–11.7) NA
 IFAT 1 156 25 16.0 (10.3–21.8) NA
Regional prevalence
 Africa (PCR) 2 52 3 5.0 (−3.9 to 13.9) 50.99%
 Asia 3
 PCR 1 156 0 0.3 (−0.6 to 1.2) NA
 Culture 1 103 7 6.8 (1.9–11.7) NA
 IFAT 1 156 25 16.0 (10.3–21.8) NA
Ehrlichia spp.  Overall prevalence (PCR) 4 328 13 3.1 (−0.3 to 6.5) 73.39%
Regional prevalence
 Africa 1 95 3 3.2 (−0.4 to 6.7) NA
 Asia 3 233 10 3.5 (−1.5 to 8.5) 79.77%
CCHFV  Overall prevalence (ELISA) 4 880 145 16.0 (9.9–22.1) 99.48%
Regional prevalence
 Africa 3 608 145 23.8 (12.4–35.3) 99.65%
 Asia 1 272 0 0.2 (−0.3 to 0.7) NA
Rickettsiae  Overall prevalence (PCR) 4 220 0 0.7 (−0.4 to 1.7) 0%

iELISA indirect ELISA, NA not applicable

Bartonella species are arthropod-borne Gram-negative bacteria that infect erythrocytes, endothelial cells, and macrophages, frequently resulting in chronic blood-borne infections [171]. They are the causative agents of multiple human diseases, and their main vectors include fleas, keds, lice, sand flies, bed bugs, biting flies, and ticks [171173]. Ticks were previously postulated but not confirmed as a vector for Bartonella transmission; nevertheless, there is increasing evidence of transovarial and transstadial transmission of bartonellae in ixodid ticks [174176]. A pooled prevalence of 1.5% (95% CI −1.9 to 5.0%) was estimated for Bartonella spp. in buffaloes from three datasets based on PCR. Other methods were used based on traditional culture and IFAT for the detection of Bartonella spp. and resulted in higher prevalence (6.8% and 16%, respectively) from one dataset for each method. Bartonella bovis was identified in water buffaloes from Thailand based on multi-locus sequence typing in a single study [105]. Bartonella henselae, B. vinsonii subsp. berkhoffii, and B. tamiae antibodies were found in buffaloes from Thailand using indirect IFAT; however, PCR results were negative [109].

Much lower prevalence of 3.1% (95% CI −0.3 to 6.5%) was estimated for 328 buffaloes tested for ehrlichiosis with PCR from four datasets, which constitutes a potentially fatal emerging zoonosis of global veterinary concern [177]. Ehrlichia ruminantium was the species identified from African buffaloes in Namibia [40]. In South Africa, a buffalo calf (S. caffer) was suspected of having died as a result of heartwater (E. ruminantium) [178]. However, small samples were used for the detection of Rickettsia species; 220 buffaloes from three continents, namely Africa (Egypt), Asia (Philippines), and Europe (Hungary), were found free from infection based on PCR [33, 34, 98, 120].

Crimean-Congo hemorrhagic fever (CCHF) is a viral infection spread by ticks. Humans are the only known hosts that develop sickness following CCHFV infection, owing to the virus's asymptomatic presence in animal reservoirs, which allows it to circulate undetected [179]. Humans can become infected with CCHFV through tick bites or contact with contaminated animal tissues during and immediately after slaughter [180, 181]. Notably, humans who had high CCHF seropositivity had a history of animal contact, animal husbandry, farming, and tick bites [182]. Buffaloes can act as silent reservoirs of CCHFV; the sera of 880 buffaloes were examined using ELISA from four datasets and 145 were found infected, with a pooled prevalence of 16.0% (95% CI 9.9–22.1%).

Conclusions

The present article provides the first meta-analysis of the published data on TBPs in buffaloes. The analyses conducted have some limitations sometimes due to the limited number of available studies (e.g., rickettsioses) as well as variability in the relevance of the reported data and diagnostic methods used. Nonetheless, the close interaction of varied animal species, the availability of mixed animal shelters, and unregulated animal movements in many African and Asian countries all increase the risk of a pathogen crossing the species barrier. This is evident in many species and genotypes of Babesia, Theileria, and Anaplasma that are circulating between buffaloes and cattle worldwide. Consequently, detection of the pathogenic species is considered critical not only for buffaloes but also for cattle raised in the same areas, with economic implications. There is evidence of high species diversity of Babesia, Theileria, and Anaplasma infecting buffaloes, which suggests susceptibility to a wide range of TBPs, and adequate control measures should be applied to prevent their circulation.

Supplementary Information

13071_2023_5727_MOESM1_ESM.docx (81.5KB, docx)

Additional file 1: Table S1. Study characteristics of tick-borne pathogen surveys in buffaloes worldwide.

13071_2023_5727_MOESM2_ESM.jpg (1MB, jpg)

Additional file 2: Figure S1. Forest plot diagrams for random effects in the meta-analysis of the prevalence of Babesia spp. infections in buffaloes worldwide. The middle point of each line indicates the prevalence, while the length of the line is the 95% confidence interval for each study. Diamonds refers to the prevalence in accordance with detection methods.

13071_2023_5727_MOESM3_ESM.png (107.3KB, png)

Additional file 3: Figure S2. Forest plot diagrams for random effects in the meta-analysis of the prevalence of Theileria spp. infections in buffaloes worldwide. The middle point of each line indicates the prevalence, while the length of the line is the 95% confidence interval of each study. Diamonds refers to the prevalence in accordance with detection methods.

13071_2023_5727_MOESM4_ESM.jpg (748.7KB, jpg)

Additional file 4: Figure S3. Forest plot diagrams for random effects in the meta-analysis of the prevalence of Anaplasma spp. infections in buffaloes worldwide. The middle point of each line indicates the prevalence, while the length of the line is the 95% confidence interval of each study. Diamonds refers to the prevalence in accordance with detection methods.

Acknowledgements

Not applicable.

Author contributions

Conceptualization, EE and MAR; literature search, EE, RE and SS; data extraction and organization, RE, EE, and IA; meta-analysis, IA and SS; writing—original draft preparation, EE, SAESES and MAR; writing—review and editing, IA, MAR and EE. All authors read and approved the final manuscript.

Funding

Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB). Open access funding was provided by the Transformative Agreement between Springer Nature and the Science, Technology and Innovation Funding Authority (STDF) in cooperation with the Egyptian Knowledge Bank (EKB).

Availability of data and materials

All data generated or analysed during this study are included in this published article and its supplementary information files.

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher's Note

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

Contributor Information

El-Sayed El-Alfy, Email: sydnabil@mans.edu.eg.

Ibrahim Abbas, Email: ielsayed@mans.edu.eg.

Rana Elseadawy, Email: ranamagdy6666@gmail.com.

Somaya Saleh, Email: soma.saleh2010@gmail.com.

Bassem Elmishmishy, Email: dr_b_elmishmishy@mans.edu.eg.

Shimaa Abd El-Salam El-Sayed, Email: Shimaa_a@mans.edu.eg.

Mohamed Abdo Rizk, Email: dr_moh_abdo2008@mans.edu.eg.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

13071_2023_5727_MOESM1_ESM.docx (81.5KB, docx)

Additional file 1: Table S1. Study characteristics of tick-borne pathogen surveys in buffaloes worldwide.

13071_2023_5727_MOESM2_ESM.jpg (1MB, jpg)

Additional file 2: Figure S1. Forest plot diagrams for random effects in the meta-analysis of the prevalence of Babesia spp. infections in buffaloes worldwide. The middle point of each line indicates the prevalence, while the length of the line is the 95% confidence interval for each study. Diamonds refers to the prevalence in accordance with detection methods.

13071_2023_5727_MOESM3_ESM.png (107.3KB, png)

Additional file 3: Figure S2. Forest plot diagrams for random effects in the meta-analysis of the prevalence of Theileria spp. infections in buffaloes worldwide. The middle point of each line indicates the prevalence, while the length of the line is the 95% confidence interval of each study. Diamonds refers to the prevalence in accordance with detection methods.

13071_2023_5727_MOESM4_ESM.jpg (748.7KB, jpg)

Additional file 4: Figure S3. Forest plot diagrams for random effects in the meta-analysis of the prevalence of Anaplasma spp. infections in buffaloes worldwide. The middle point of each line indicates the prevalence, while the length of the line is the 95% confidence interval of each study. Diamonds refers to the prevalence in accordance with detection methods.

Data Availability Statement

All data generated or analysed during this study are included in this published article and its supplementary information files.


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