Multi-locus sequence analysis of Anaplasma bovis in goats and ticks from Thailand, with the initial identification of an uncultured Anaplasma species closely related to Anaplasma phagocytophilum-like 1.

Ticks and tick-borne pathogens (TTBP) pose a serious threat to animal and human health globally. Anaplasma bovis, an obligatory intracellular bacterium, is one of the more recent species of the Family Anaplasmaceae to be formally described. Owing to its diminutive size, microscopic detection presents a formidable challenge, leading to it being overlooked in laboratory settings lacking advanced equipment or resources, as observed in various regions, including Thailand. This study aimed to undertake a genetic analysis of A. bovis and determine its prevalence in goats and ticks utilizing three genetic markers (16S rRNA, gltA, groEL). A total of 601 goat blood and 118 tick samples were collected from 12 sampling sites throughout Thailand. Two tick species, Haemaphysalis bispinosa (n = 109), and Rhipicephalus microplus (n = 9) were identified. The results herein showed that 13.8 % (83/601) of goats at several farms and 5 % (1/20) of ticks were infected with A. bovis. Among infected ticks, A. bovis and an uncultured Anaplasma sp. which are closely related to A. phagocytophilum-like 1, were detected in each of H. bispinosa ticks. The remaining R. microplus ticks tested positive for the Anaplasma genus. A nucleotide sequence type network showed that A. bovis originated from Nan and Narathiwat were positioned within the same cluster and closely related to China isolates. This observation suggests the potential dispersal of A. bovis over considerable distances, likely facilitated by activities such as live animal trade or the transportation of infected ticks via migratory birds. The authors believe that the findings from this study will provide valuable information about TTBP in animals.

Seasonal dynamics and genetic characterization of bovine arthropod-borne parasites in Nan Province, Thailand with molecular identification of Anaplasma platys and Trypanosoma theileri.

Virulent species or strains of hematophagous borne pathogens such as Anaplasma spp., Babesia spp., Theileria spp., and Trypanosoma spp., are lethal to susceptible animals or reduce their productivity on a global scale. Nonetheless, efforts to diagnose the causative agents and assess the genotypic profiles as well as quantify the parasite burden of aforementioned parasites across seasons remain limited. Therefore, the present investigation sought to elucidate the genotypic composition of Anaplasma spp., Babesia spp., Theileria spp., and Trypanosoma spp. The findings revealed heightened infection rates during the summer, manifesting a correlation between Trypanosoma spp. infection and seasonal fluctuations. Among the identified pathogens, Anaplasma marginale emerged as the most dominant species, while the occurrence of Anaplasma platys in Thai cattle was confirmed via the sequencing of the groEL gene. Moreover, the study successfully identified two lineages of Trypanosoma theileri. The findings of this investigation offer valuable insights that can inform the development of preventive strategies for vector-borne diseases, such as considering the appropriate use of insect repellent, mosquito or insect nets, or eliminating breeding places for insects in each season.

Multi-locus sequence analysis of 'Candidatus Mycoplasma haematomacacae' in free-ranging macaques from Thailand suggestive of a closer relationship to hemotropic mycoplasmas in capuchins and potential origin from bats.

Although 'Candidatus Mycoplasma haematomacacae' (formerly known as 'Candidatus Mycoplasma haemomacaque') has been reported on extensively in macaques from Thailand, the USA, Japan, and Brazil, its genetic characterization has primarily been restricted to the 16S rRNA sequences with no exploration on multi-locus sequence analysis. The primary goal of this study was to characterize 'Ca. M. haematomacacae' among Thai macaques based on multiple genetic markers. Between April 2018 and November 2021, blood samples were taken from 580 free-ranging macaques (560 Macaca fascicularis and 20 Macaca nemestrina) in 15 locations encompassing 10 provinces throughout Thailand. Using the conventional PCR assay targeting the 16S ribosomal RNA (16S rRNA) gene, 338 out of 580 macaques (58.27 %) tested hemoplasma-positive. Of these, 40 positive samples were further subjected to DNA sequencing, and all were identified as 'Ca. M. haematomacacae'. Subsequently, the partial nucleotide sequences of 23S ribosomal RNA (23S rRNA) and RNase P RNA (rnpB) genes of this particular hemoplasma species were amplified through nested PCR assay. The analysis of multi-locus genetic markers revealed that the 23S rRNA and rnpB sequences exhibited higher levels of genetic diversity than the 16S rRNA sequences. Furthermore, the 16S rRNA analyses demonstrated that 'Ca. M. haematomacacae' infecting Old World monkeys (Macaca spp.) was most closely related to hemotropic Mycoplasma spp. in black-capped capuchins (Sapajus apella) and Marcgrave's capuchins (Sapajus flavius) from Brazil, as well as establishing a common ancestor clade with hemotropic Mycoplasma spp. from the Neotropical bats in Belize and Peru and an Old World bat in Spain. The 23S rRNA analyses likewise evidenced that 'Ca. M. haematomacacae' formed a sister clade with hemotropic Mycoplasma spp. in Neotropical bats from Belize and Panama. Thus, the present findings, based on multi-locus sequence analysis, suggest a potential origin of 'Ca. M. haematomacacae' from Neotropical and Old World bats. To the best of the authors' knowledge, this study provided the largest dataset so far of multi-locus genetic sequences of 'Ca. M. haematomacacae' isolated from Thai macaques and enhanced the accuracy of phylogenetic analyses, providing insights into their origins among hemotropic Mycoplasma spp. discovered worldwide.

Ixodid ticks from wild and domestic animals in East and Central Asian flyways.

Tick-borne diseases have a significant impact on human and animal populations, posing an increasing threat to public health, particularly in the context of climate change. Along with the various natural hosts of ticks, birds play a notable role in transmitting ticks and tick-borne pathogens, indicating the importance of monitoring flyways and establishing a cooperative network for comprehensive surveillance and to collect diverse tick samples across various regions. This study aimed to develop an international network for surveillance of disease, collection of sufficient tick samples, and overall identification of the geographical distribution of host and ticks in Asian regions, especially in 11 countries on East Asian and Central Asian flyways. Ticks were collected from wild animals, domestic animals, and vegetation to identify the differences between Ixodid ticks and understand tick distribution. We collected a total 6,624 of ticks from 11 collaborating Asian countries, the Republic of Korea (ROK), Japan, Thailand, Philippines, Indonesia, Cambodia, Vietnam, Taiwan, Hong Kong, Mongolia and Pakistan. We identified 17 host animals and 47 species of both residential and migratory birds. Ticks from birds collected from four countries (ROK, Japan, Hong Kong and Mongolia) belonged to two genera, Haemaphysalis and Ixodes, including Haemaphysalis (H.) longicornis, H. flava, H. concinna, H. hystricis, H. formosensis, Ixodes (I.) nipponensis and I. persulcatus. The potential of migratory birds to cross ecological barriers with ticks and tick-borne diseases indicated the need for further investigations to understand the migration of birds as potential vectors and the new influx of zoonotic diseases along migratory bird flyways. This study suggests the potential risk of spreading tick-borne diseases through birds, thus highlighting the importance of international cooperative networking.

Superior Auto-Identification of Trypanosome Parasites by Using a Hybrid Deep-Learning Model.

Trypanosomiasis is a significant public health problem in several regions across the world, including South Asia and Southeast Asia. The identification of hotspot areas under active surveillance is a fundamental procedure for controlling disease transmission. Microscopic examination is a commonly used diagnostic method. It is, nevertheless, primarily reliant on skilled and experienced personnel. To address this issue, an artificial intelligence (AI) program was introduced that makes use of a hybrid deep learning technique of object identification and object classification neural network backbones on the in-house low-code AI platform (CiRA CORE). The program can identify and classify the protozoan trypanosome species, namely Trypanosoma cruzi, T. brucei, and T. evansi, from oil-immersion microscopic images. The AI program utilizes pattern recognition to observe and analyze multiple protozoa within a single blood sample and highlights the nucleus and kinetoplast of each parasite as specific characteristic features using an attention map. To assess the AI program's performance, two unique modules are created that provide a variety of statistical measures such as accuracy, recall, specificity, precision, F1 score, misclassification rate, receiver operating characteristics (ROC) curves, and precision versus recall (PR) curves. The assessment findings show that the AI algorithm is effective at identifying and categorizing parasites. By delivering a speedy, automated, and accurate screening tool, this technology has the potential to transform disease surveillance and control. It could also assist local officials in making more informed decisions on disease transmission-blocking strategies.

Complete mitochondrial genome analyses confirm that bat Polychromophilus and ungulate Plasmodium constitute a distinct clade independent of other Plasmodium species.

In recent phylogenetic studies, bat Polychromophilus and ungulate Plasmodium, two relatively understudied haemosporidian parasites within the Apicomplexa phylum, have often been overlooked. Instead, the focus has been primarily on haemosporidian parasites in primates, rodents, and birds. Several phylogenetic analyses of bat Polychromophilus have relied on limited datasets and short informative DNA sequences. As a result of these inherent limitations, the substantiation of their evolutionary stance has encountered a diminished degree of robust validation. This study successfully obtained complete mitochondrial genome sequences from 11 Polychromophilus parasites originating from Hipposideros gentilis and Myotis siligoensis bats for the first time. Additionally, the authors have sequenced the apicoplast caseinolytic protease C genes from Polychromophilus murinus and a potentially new Polychromophilus species. These mitochondrial genomes range in length from 5994 to 6001 bp and consist of three protein-coding genes (PCGs), seven small subunit ribosomal RNA genes (SSU rRNA), 12 large subunit ribosomal RNA genes (LSU rRNA), and seven miscellaneous RNA genes. Phylogenetic analyses using Bayesian Inference and Maximum Likelihood methods indicated robust support for the grouping of ungulate Plasmodium and bat Polychromophilus in a single clade separate from other Plasmodium spp., confirming previous reports, albeit with stronger evidence in this study. The divergence between Polychromophilus in bats and Plasmodium in ungulates occurred approximately 29.61 to 55.77 million years ago (Mya), with a node age estimated at 40.63 Mya. These findings highlight that the genus Plasmodium, which includes species found in ungulates, birds, reptiles, and other mammals, does not form a monophyletic group. By incorporating Polychromophilus in bats and Plasmodium in ungulates, this study contributes significantly to understanding the phylogenetic relationships within the Haemosporida order. It provides valuable insights into the evolutionary history and interconnections among these diverse parasites, thereby expanding knowledge in this field.

Zoonotic simian malaria parasites in free-ranging Macaca fascicularis macaques and human malaria patients in Thailand, with a note on genetic characterization of recent isolates.

Despite the natural occurrences of human infections by Plasmodium knowlesi, P. cynomolgi, P. inui, and P. fieldi in Thailand, investigating the prevalence and genetic diversity of the zoonotic simian malaria parasites in macaque populations has been limited to certain areas. To address this gap, a total of 560 long-tailed macaques (Macaca fascicularis) and 20 southern pig-tailed macaques (M. nemestrina) were captured from 15 locations across 10 provinces throughout Thailand between 2018 and 2021 for investigation of malaria, as were 15 human samples residing in two simian-malaria endemic provinces, namely Songkhla and Satun, who exhibited malaria-like symptoms. Using PCR techniques targeting the mitochondrial cytb and cox1 genes coupled with DNA sequencing, 40 long-tailed macaques inhabiting five locations had mono-infections with one of the three simian malaria species. Most of the positive cases of macaque were infected with P. inui (32/40), while infections with P. cynomolgi (6/40) and P. knowlesi (2/40) were less common and confined to specific macaque populations. Interestingly, all 15 human cases were mono-infected with P. knowlesi, with one of them residing in an area with two P. knowlesi-infected macaques. Nucleotide sequence analysis showed a high level of genetic diversity in P. inui, while P. cynomolgi and P. knowlesi displayed limited genetic diversity. Phylogenetic and haplotype network analyses revealed that P. inui in this study was closely related to simian and Anopheles isolates from Peninsular Malaysia, while P. cynomolgi clustered with simian and human isolates from Asian countries. P. knowlesi, which was found in both macaques and humans in this study, was closely related to isolates from macaques, humans, and An. hackeri in Peninsular Malaysia, suggesting a sylvatic transmission cycle extending across these endemic regions. This study highlights the current hotspots for zoonotic simian malaria and sheds light on the genetic characteristics of recent isolates in both macaques and human residents in Thailand.

Automatic identification of medically important mosquitoes using embedded learning approach-based image-retrieval system.

Mosquito-borne diseases such as dengue fever and malaria are the top 10 leading causes of death in low-income countries. Control measure for the mosquito population plays an essential role in the fight against the disease. Currently, several intervention strategies; chemical-, biological-, mechanical- and environmental methods remain under development and need further improvement in their effectiveness. Although, a conventional entomological surveillance, required a microscope and taxonomic key for identification by professionals, is a key strategy to evaluate the population growth of these mosquitoes, these techniques are tedious, time-consuming, labor-intensive, and reliant on skillful and well-trained personnel. Here, we proposed an automatic screening, namely the deep metric learning approach and its inference under the image-retrieval process with Euclidean distance-based similarity. We aimed to develop the optimized model to find suitable miners and suggested the robustness of the proposed model by evaluating it with unseen data under a 20-returned image system. During the model development, well-trained ResNet34 are outstanding and no performance difference when comparing five data miners that showed up to 98% in its precision even after testing the model with both image sources: stereomicroscope and mobile phone cameras. The robustness of the proposed-trained model was tested with secondary unseen data which showed different environmental factors such as lighting, image scales, background colors and zoom levels. Nevertheless, our proposed neural network still has great performance with greater than 95% for sensitivity and precision, respectively. Also, the area under the ROC curve given the learning system seems to be practical and empirical with its value greater than 0.960. The results of the study may be used by public health authorities to locate mosquito vectors nearby. If used in the field, our research tool in particular is believed to accurately represent a real-world scenario.

Detection of Babesia bovis using loop-mediated isothermal amplification (LAMP) with improved thermostability, sensitivity and alternative visualization methods.

Bovine babesiosis is one of the most economically important tick-borne diseases in tropical and subtropical countries. A conventional microscopic diagnosis is typically used because it is inexpensive and expeditious. However, it is highly dependent on well-trained microscopists and tends to be incapable of detecting subpatent and chronic infections. Here, we developed a novel nucleic acid-based amplification method using loop-mediated isothermal amplification (LAMP) in conjunction with a colori-fluorometric dual indicator for the rapid and accurate detection of Babesia bovis based on the mitochondrial cytochrome b gene. We aimed to improve the thermostability, sensitivity, specificity, and alternative visualization of LAMP-based methods. We assessed its diagnostic performance compared to two conventional PCR agarose gel electrophoresis (PCR-AGE) methods. The thermostability of LAMP reaction mixtures and DNA templates in variable conditions was also assessed. In addition, we evaluated alternative visualization methods using different light sources including neon, LED, and UV lights. We found that the LAMP-neon was ten times more sensitive than the PCR-AGE, while the LAMP-LED and LAMP-UV were 1,000 times more sensitive. The current LAMP method showed no cross-amplification with uninfected cattle DNA or other common blood parasites in cattle, including Babesia bigemina, Theileria orientalis, Anaplasma marginale, and Trypanosoma evansi. In addition, the developed LAMP method has good thermostability and the potential for on-site utility as B. bovis DNA could still be detected up to 72 h after initial preparation. Our findings suggested that the developed LAMP method provides an alternative approach for B. bovis detection with sensitivity higher than PCR-AGE diagnostics, high specificity, and the flexibility to use neon, LED, and UV light sources for positive signal observations.

Myzomyia and Pyretophorus series of Anopheles mosquitoes acting as probable vectors of the goat malaria parasite Plasmodium caprae in Thailand.

Unlike malaria parasites in humans, non-human primates, rodents, and birds, ungulate malaria parasites and their vectors have received little attention. As a result, understanding of the hosts, vectors, and biology of ungulate malaria parasites has remained limited. In this study, we aimed to identify the vectors of the goat malaria parasite Plasmodium caprae. A total of 1019 anopheline and 133 non-anopheline mosquitoes were collected from goat farms in Thailand, where P. caprae-infected goats were discovered. Anopheline mosquitoes were identified using molecular biological methods that target the cytochrome c oxidase subunit 1 (cox1), the cytochrome c oxidase subunit 2 (cox2) genes, and the internal transcribed spacer 2 (ITS2) region. Pool and individual mosquitoes were tested for P. caprae using the head-thorax parts that contain the salivary glands, with primers targeting three genetic markers including cytochrome b, cytochrome c oxidase subunit 1, and 18S small subunit ribosomal RNA genes. Additionally, goat blood samples were collected concurrently with mosquito surveys and screened to determine the status of malaria infection. This study revealed nine mosquito species belonging to six groups on goat farms, including Hyrcanus, Barbirostris, Subpictus, Funestus, Tessellatus, and Annularis. The DNA of P. caprae was detected in Anopheles subpictus and Anopheles aconitus. This is the first time An. subpictus and An. aconitus have been implicated as probable vectors of P. caprae.

Molecular characterization of anopheline mosquitoes from the goat malaria-endemic areas of Thailand.

Despite the fact that over a 100 anopheline mosquito species have been identified as human malaria vectors, little is known about ungulate malaria vectors. Consequently, we focused on investigating the bionomics and genetic characterizations of anopheline mosquitoes in goat malaria-endemic regions. We also attempted to screen for ungulate malaria potential vectors. A total of 1019 female anopheline mosquitoes were collected from six goat farms in four provinces of Thailand from 2020 to 2021. Mosquitoes were morphologically identified and subsequently confirmed using the mitochondrial DNA barcoding region-cytochrome oxidase c subunit I (MtDNA-COI), mitochondrial DNA-cytochrome c oxidase subunit II (MtDNA-COII), and ribosomal DNA internal transcribed spacer 2 (rDNA-ITS2) sequences. The current study reveals the genetic characteristics and distribution of nine mosquito species within the Anopheles and Cellia subgenera. Four dominant species, including Anopheles peditaeniatus, Anopheles subpictus, Anopheles vagus, and Anopheles aconitus exhibited significant intraspecific gene flow within their corresponding species. Although malaria parasites were not found in 126 mosquito pools, meaning more investigation is necessary, the current study adds to the existing DNA barcoding data collection and improves the current understanding of the genetic structure and distribution of anopheline mosquito species, which could be useful for effective control of mosquito-borne diseases.

Genetic characterization of genes encoding the major surface proteins of Anaplasma marginale from cattle isolates in Thailand reveals multiple novel variants.

Bovine anaplasmosis is a serious tick-borne disease that is responsible for economic loss worldwide. The major surface proteins (MSPs), encoded by msp1 to msp5 genes of Anaplasma marginale, play an important role in host-pathogen and tick-pathogen interactions. These markers have been used for genetic characterization and phylogenetic studies. Despite domestic reports concerning suspected outbreaks of anaplasmosis in Thailand, genetic analysis of A. marginale in the country remains largely limited. Therefore, we aim to investigate the infection rate of the rickettsia organism in the Anaplasmataceae family throughout five regions of Thailand and to further characterize the key genetic markers: msp1a, msp2, and msp5 of A. marginale. From 2016 to 2021, we collected a total of 384 cattle blood samples across 18 provinces. Overall, the infection rate of the rickettsia organism in the Anaplasmataceae family was 46.1%. Over 65% of the positive samples were confirmed as A. marginale. We successfully obtained a total of 138 A. marginale msp1a (38), msp2 (79), and msp5 (21) sequences from all regions of the country. The msp1a and msp2 genes exhibit a high degree of genetic diversity, while the msp5 gene is highly conserved among the Thai isolates. Our findings regarding msp1a corroborated the genetic heterogeneity of A. marginale strains in endemic regions worldwide. Additionally, we found multiple novel variants for the first time in the current nationwide survey. We found 45 tandem repeat characters of the msp1a sequence. Among them, 24 characters were not shared with other countries. Collectively, we expanded the extent of genetic diversity in key markers; msp1a and msp2 genes, and further confirmed the previous finding that msp5 was highly conserved. The msp1a and msp2 genes could be useful for the surveillance of newly introduced strains. The current data may also be useful in designing a vaccine containing potential epitopes of different antigens in the future.

Establishment of molecular diagnostics targeting the 23S ribosomal RNA gene for the detection of Mycoplasma suis infection in Thai domestic pigs.

Mycoplasma (M.) suis is a pathogenic hemotropic Mycoplasma sp. that causes acute hemolytic anemia or chronic infection in pigs. M. suis infection can be diagnosed using several methods, including molecular diagnosis such as conventional PCR (cPCR) and quantitative PCR (qPCR). In these cases, the common target is the 16S rRNA gene; however, this genetic marker cannot distinguish hemoplasma at the species level owing to high sequence identity. Therefore, the 23S rRNA gene has emerged as another target gene. Other than PCR, the loop-mediated isothermal amplification (LAMP) method can be applied for M. suis. The objective of the present study was to establish cPCR, TaqMan qPCR, and LAMP assays in which the 23S rRNA gene is used to detect M. suis infection in Thai domestic pigs. The analytical sensitivity of cPCR was determined as 7.46 × 104 copies/µl of plasmid DNA, whereas those of qPCR and LAMP were 7.46 × 102 copies/µl. There was no cross reaction with other pathogens in any of the assays. To evaluate the diagnostic performance of the assays, they were tested using 173 samples of genomic DNA. The detection percentage of M. suis infection was 24.86% (43/173; 95% CI: 18.61%-31.89%), 28.32% (49/173; 95% CI: 21.75%-35.66%), and 29.48% (51/173; 95% CI: 22.80%-36.88%) using cPCR, qPCR, and LAMP, respectively. Using qPCR as a reference assay, cPCR showed 81.63% sensitivity, 97.58% specificity, and an almost perfect level of agreement (kappa = 0.823). In comparison, LAMP showed 77.55% sensitivity, 89.52% specificity, and a substantial level of agreement (kappa = 0.662). All assays tested here could be applied in veterinary diagnostic laboratories for monitoring porcine health in the herds. Furthermore, the LAMP assay could be used as a screening test in farm practice without the need for any special equipment.

Myzorhynchus series of Anopheles mosquitoes as potential vectors of Plasmodium bubalis in Thailand.

Ungulate malaria parasites and their vectors are among the least studied when compared to other medically important species. As a result, a thorough understanding of ungulate malaria parasites, hosts, and mosquito vectors has been lacking, necessitating additional research efforts. This study aimed to identify the vector(s) of Plasmodium bubalis. A total of 187 female mosquitoes (133 Anopheles spp., 24 Culex spp., 24 Aedes spp., and 6 Mansonia spp. collected from a buffalo farm in Thailand where concurrently collected water buffalo samples were examined and we found only Anopheles spp. samples were P. bubalis positive. Molecular identification of anopheline mosquito species was conducted by sequencing of the PCR products targeting cytochrome c oxidase subunit 1 (cox1), cytochrome c oxidase subunit 2 (cox2), and internal transcribed spacer 2 (ITS2) markers. We observed 5 distinct groups of anopheline mosquitoes: Barbirostris, Hyrcanus, Ludlowae, Funestus, and Jamesii groups. The Barbirostris group (Anopheles wejchoochotei or Anopheles campestris) and the Hyrcanus group (Anopheles peditaeniatus) were positive for P. bubalis. Thus, for the first time, our study implicated these anopheline mosquito species as probable vectors of P. bubalis in Thailand.

Molecular detection and genetic analysis of porcine haemoplasmas in commercial pig farms from Thailand reveal a putative novel species.

Haemoplasma is a trivial name for haemotropic Mycoplasma spp., which can attach to the surface of red blood cells leading to deformity and anaemia in a wide range of mammalian animals, including pigs. In Thailand, there is only one study that reported the occurrence of Mycoplasma suis without other haemoplasma species. In this study, we examined the molecular occurrence and genetic diversity of porcine haemoplasmas in Thai domestic pigs (Sus scrofa domesticus) from commercial farms using a PCR assay targeting the 16S rRNA gene, DNA sequencing, nucleotide sequence type (ntST) analysis and phylogenetic analysis. A total of 665 blood samples were collected from pigs at thirteen farms located in eight provinces of Thailand during 2019-2020. Genomic DNA was extracted from blood samples and tested by PCR. The frequency of haemoplasma infection was 37.1% (247/665, 95% CI: 33.5%-40.9%) in all pigs. Among 247 PCR positive samples, 194 were sequenced and analysed by nucleotide BLAST, ntST diversity, phylogenetic trees and ntST networks. The results of this genetic analysis indicated that at least four species with 27 nucleotide sequence types (Mycoplasma suis, Mycoplasma parvum, Candidatus Mycoplasma haemosuis and a putative novel species) of porcine haemoplasmas were identified. Thus, it appears that haemoplasmas show a high genetic diversity in the Thai pig population. In addition, a putative novel species was genetically characterized by other markers, namely, the 23S rRNA and RNase P RNA (rnpB) genes. For phylogenetic analysis, Candidatus Mycoplasma haemosuis was placed into the Mycoplasma haemofelis group, and the three remaining species were placed into the Mycoplasma suis group in all trees containing the 16S rRNA, 23S rRNA and rnpB genes. Further studies, such as pathobiology and epidemiology, should be conducted to better characterize this putative novel species.

Molecular detection and characterization of tick-borne parasites in goats and ticks from Thailand.

Ticks and tick-borne pathogens (TTBPs) pose a serious economic threat to ruminant production worldwide. Despite this, investigations focused on goats remain limited compared to those for pathogens infecting cattle. We carried out PCR-based surveys and phylogenetic analyses to examine TTBPs from 6 provinces in Thailand between January 2016 and June 2020. A total of 93 tick samples were collected as well as 969 blood samples from goats. All ticks were morphologically identified as Rhipicephalus microplus and confirmed for species based on 16S rRNA and cox1 gene sequences. The mitochondrial cox1 sequences in the present study were clustered into clades A and C. The overall infection rates of Anaplasma spp., piroplasmids, and co-infections of both parasites in goats were 13.5% (131/969), 2.7% (24/880), and 0.7% (7/969), respectively. We observed no statistically significant association between TTBP infections and age or sex. However, TTBP infections and the rainy season were linked (p < 0.05). Anaplasma bovis, Anaplasma marginale, and Anaplasma ovis were detected for the first time in goats in the country using primers targeting the chaperonin GroEL (groEL), major surface protein 2 (msp2), and major surface protein 4 (msp4) genes, while Anaplasma capra and Anaplasma phagocytophilum were not detected. Anaplasma bovis, A. marginale, and A. ovis isolates were clustered in a subclade that differed from the strains found in other countries. Among piroplasmids, only Theileria luwenshuni was detected in the current investigation. This work will add to the current understanding regarding the prevalence, genetic diversity, and genetic relationships of A. bovis, A. marginale, A. ovis, and T. luwenshuni among global isolates and those in Thailand.

Molecular detection of Trypanosoma (Trypanosomatidae) in bats from Thailand, with their phylogenetic relationships.

The vast majority of trypanosome species is vector-borne parasites, with some of them being medically and veterinary important (such as Trypanosoma cruzi and Trypanosoma brucei) and capable of causing serious illness in vertebrate hosts. The discovery of trypanosomes in bats emphasizes the importance of bats as an important reservoir. Interestingly, there is a hypothesis that bats are ancestral hosts of T. cruzi. Trypanosome diversity has never been investigated in bats in Thailand, despite being in a biodiversity hot spot. To gain a better understanding of the diversity and evolutionary relationship of trypanosomes, polymerase chain reaction-based surveys were carried out from 2018 to 2020 in 17 sites. A total of 576 bats were captured, representing 23 species. A total of 38 (6.6%) positive samples was detected in ten bat species. Trypanosoma dionisii and Trypanosoma noyesi were identified from Myotis siligorensis and Megaderma spasma, respectively. The remaining 18S rRNA sequences of trypanosomes were related to other trypanosomes previously reported elsewhere. The sequences in the current study showed nucleotide identity as low as 90.74% compared to those of trypanosomes in the GenBank database, indicating the possibility of new species. All bat trypanosomes identified in the current study fall within the T. cruzi clade. The current study adds to evidence linking T. noyesi to a bat trypanosome and further supports the bat host origin of the T. cruzi clade. To the best of authors' knowledge, this is the first study on bat trypanosomes in Thailand and their phylogenetic relationships with global isolates.

Molecular identification and genetic diversity of Bartonella spp. in 24 bat species from Thailand.

The study of bacterial zoonoses has been under-pursued despite the fact that bacteria cause the majority of zoonotic diseases, of which 70% have a wildlife origin. More Bartonella species are being identified as the cause of human diseases, and several of them have been linked to domestic and wild animals. Bats are outstanding reservoirs for Bartonella species because of their wide distribution, mobility, roosting behaviour, and long life span. Here, we carried out a PCR-based survey on bats that were collected from 19 sampling sites in eight provinces of Thailand from February 2018 to April 2021. Bartonella infection was investigated in a total of 459 bats that belong to 24 different bat species (21 species of which had never been previously studied in Thailand). PCR diagnostics revealed that 115 out of 459 (25.5%) blood samples tested positive for Bartonella. The nucleotide identities of the Bartonella 16S rRNA sequences in this study were between 95.78-99.66% identical to those of known zoonotic species (Bartonella ancashensis, Bartonella henselae, Bartonella bacilliformis and Bartonella australis) as well as to an unidentified Bartonella spp. In addition, the citrate synthase (gltA) and RNA polymerase-beta subunit (rpoB) genes of Bartonella were sequenced and analyzed in positive samples. The gltA and rpoB gene sequences from Hipposideros gentilis and Rhinolophus coelophyllus bat samples showed low nucleotide identity (<95%) compared to those of the currently deposited sequences in the GenBank database, indicating the possibility of new Bartonella species. The phylogenetic inference and genetic diversity were generated and indicated a close relationship with other Bartonella species previously discovered in Asian bats. Overall, the current study demonstrates the primary evidence pointing to a potential novel Bartonella species in bats. This discovery also contributes to our current understanding of the geographical distribution, genetic diversity, and host ranges of bat-related Bartonella.

Global diversity of the gene encoding the Pfs25 protein-a Plasmodium falciparum transmission-blocking vaccine candidate.

BACKGROUND: Vaccines against the sexual stages of the malarial parasite Plasmodium falciparum are indispensable for controlling malaria and abrogating the spread of drug-resistant parasites. Pfs25, a surface antigen of the sexual stage of P. falciparum, is a leading candidate for transmission-blocking vaccine development. While clinical trials have reported that Pfs25-based vaccines are safe and effective in inducing transmission-blocking antibodies, the extent of the genetic diversity of Pfs25 in malaria endemic populations has rarely been studied. Thus, this study aimed to investigate the global diversity of Pfs25 in P. falciparum populations. METHODS: A database of 307 Pfs25 sequences of P. falciparum was established. Population genetic analyses were performed to evaluate haplotype and nucleotide diversity, analyze haplotypic distribution patterns of Pfs25 in different geographical populations, and construct a haplotype network. Neutrality tests were conducted to determine evidence of natural selection. Homology models of the Pfs25 haplotypes were constructed, subjected to molecular dynamics (MD), and analyzed in terms of flexibility and percentages of secondary structures. RESULTS: The Pfs25 gene of P. falciparum was found to have 11 unique haplotypes. Of these, haplotype 1 (H1) and H2, the major haplotypes, represented 70% and 22% of the population, respectively, and were dominant in Asia, whereas only H1 was dominant in Africa, Central America, and South America. Other haplotypes were rare and region-specific, resulting in unique distribution patterns in different geographical populations. The diversity in Pfs25 originated from ten single-nucleotide polymorphism (SNP) loci located in the epidermal growth factor (EGF)-like domains and anchor domain. Of these, an SNP at position 392 (GGA/GCA), resulting in amino acid substitution 131 (Gly/Ala), defined the two major haplotypes. The MD results showed that the structures of H1 and H2 variants were relatively similar. Limited polymorphism in Pfs25 could likely be due to negative selection. CONCLUSIONS: The study successfully established a Pfs25 sequence database that can become an essential tool for monitoring vaccine efficacy, designing assays for detecting malaria carriers, and conducting epidemiological studies of P. falciparum. The discovery of the two major haplotypes, H1 and H2, and their conserved structures suggests that the current Pfs25-based vaccines could be used globally for malaria control.