Mycoplasma agalactiae (Ma) is considered the primary causative agent of contagious agalactia (CA) in sheep and goats, which causes severe losses to the small ruminant dairy industry. As early as 1816, it was thought that environmental factors played a role in pathogen maintenance in endemic areas. Specifically, recent studies hypothesized a vector role for arthropods in the epidemiology of disease. The aim of this study was to investigate the presence and anatomical localization of Ma in naturally infected Riphicephalus bursa ticks to better evaluate tick-pathogen interactions. Salivary glands and ovaries of confirmed Ma-positive R. bursa were analyzed to look for the Ma antigen using immunohistochemistry (IHC). IHC showed strong positivity to Ma in the cytoplasm of salivary cells as well as in cells from the ovary. Our work demonstrated for the first time the crossing of the tick midgut barrier by Ma and the subsequent infection of organs capable of spreading the infection, and this result represents an absolute novelty in disease-related knowledge. Our preliminary results provide conclusive evidence of the potential vector role represented by hard ticks in the epidemiology of CA. Further field and laboratory investigations are necessary to confirm the tick role in the transmission of clinical CA.

In order to investigate the infection status and genotypes of Enterocytozoon bieneusi (E. bieneusi) in sheep and goats in Jiangsu Province, a total of 786 fresh fecal samples from 18 farms across five regions in Jiangsu were collected and examined for the presence of E. bieneusi, and the genotype of E. bieneusi was examined using nested-PCR and sequencing of the ribosomal internal transcribed spacer. The results showed that E. bieneusi was detected in the fecal samples of sheep and goats in all regions, with infection rates ranging from 23.65% to 42.81%. The overall infection rate was 36.51% (287/786). The infection rate of E. bieneusi showed no significant difference between sheep and goats, as well as among different ages of animals (p > 0.05), but showed a significant difference in sheep and goats with different health conditions (p < 0.05). The positive products were amplified and cloned and subjected to sequenced analysis. Six genotypes, BEB6, CHG2, CHG3, CHC8, CHG14, and COS-I, were found. Phylogenetic analysis indicated that the six genotypes belonged to Group 2, which had previously been described as a non-zoonotic group.

Sheep and goats serve as crucial hosts for Cryptosporidium spp. and are primarily responsible for its transmission via the fecal-oral route. This can result in symptoms such as lamb weight loss, diarrhea, and even fatalities, leading to significant economic losses. Currently, there is a lack of scholarly research investigating the prevalence of Cryptosporidium spp. infection in sheep and goats specifically within Jiangsu province. This study collected fecal samples from sheep and goats, extracted their DNA, amplified target bands using nested PCR, sequenced the DNA, constructed a phylogenetic tree, and identified the genetic genotype. In total, 3 positive samples were identified out of 398 samples. Furthermore, the gene sequences of these samples exhibited significant homology with C. xiaoi in GenBank. The phylogenetic analysis revealed that the Cryptosporidium spp. parasites under investigation are phylogenetically related to C. xiaoi. Conducting epidemiological investigations and accurately identifying the species of Cryptosporidium spp. is of utmost importance not only for the mutton sheep farming industry in Jiangsu but also for the proactive safeguarding of human health.

Brucella is a Gram-negative facultative intracellular pathogen that causes infection in sheep and goats (B. melitensis.); B. melitensis can also infect other animals. Sheep and goat brucellosis is still present in some regions of Italy, including Campania, and causes considerable economic losses and health threats. The aim of this study was to evaluate the possible risk factors influencing the spread of brucellosis among sheep and goat farms in the Campania region in order to provide the local veterinary services with practical support in evaluating and planning diagnostic, preventive and control interventions. The results of official controls for brucellosis carried out from 2015 to 2020 in the sheep and goat farms of the Campania Region were analyzed. Data were extracted from the National Veterinary Information Systems and the Laboratory Management System of the Experimental Zooprophylactic Institute of Southern Italy. Statistical analysis was carried out through the software R version 4.1.0; the dataset consisted of 37,442 observations, and 9 qualitative and quantitative variables were evaluated on 8487 farms, 248 of which were positive. The association between covariates and the outcome (presence/absence of the disease) was evaluated (Fisher and Wilcoxon tests). A logistic regression model with mixed effects was carried out. This study confirmed that brucellosis in sheep and goats in the Campania region mostly occurs through contact with infected animals imported from other farms (OR = 3.41-IC 95% [1.82-6.41]). Farms with a greater number of animals were seen to be at the greatest risk of infection (OR = 1.04-IC 95% [1.03-1.05]); previous suspension of healthy status also proved to be a risk factor (OR = 55.8-IC 95% [26.7-117]).

The primary objectives were to isolate and identify Klebsiella pneumoniae (K. pneumoniae), and determine the antimicrobial resistance patterns and biofilm formation abilities of the isolates. Additionally, the study aimed to investigate the antimicrobial and anti-biofilm effects of cinnamon oil against K. pneumoniae isolates. A cross-sectional study was conducted from March 2022 to April 2023 to collect 200 samples (including 156 nasal swabs and 44 lung specimens) from pneumonic sheep and goats admitted to the Veterinary Teaching Hospital of Zagazig University, Egypt. K. pneumoniae was isolated from a total of 72 (36%) samples, with 53 (73.6%) isolates recovered from nasal swabs and 19 (26.4%) from lung samples. Among the samples, 52 (36.9%) were from sheep and 20 (33.9%) were from goats. Antimicrobial susceptibility testing of the 72 K. pneumoniae isolates to 18 antimicrobials revealed that all isolates were resistant to ampicillin, amoxicillin/clavulanic acid, cefotaxime, ceftriaxone, tetracycline, colistin, fosfomycin, and trimethoprim/sulphamethoxazole. None of the isolates were resistant to amikacin, imipenem, and norfloxacin. Multidrug resistance (MDR) was observed in all K. pneumoniae isolates recovered from sheep and goats. The average MAR index was 0.71, ranging from 0.50 to 0.83. Regarding biofilm formation, among the K. pneumoniae isolates with a high MAR index (n = 30), 10% exhibited strong formation, 40% showed moderate formation, 43.3% displayed weak formation, and 6.7% did not form biofilms. Additionally, the biofilm-forming genes treC and fimA were present in all 28 biofilm-forming K. pneumoniae isolates, while the mrkA gene was detected in 15 (53.6%) of the 28 isolates. MDR K. pneumoniae isolates with strong biofilm formation abilities were treated with cinnamon oil at varying concentrations (100%, 75%, 50%, and 25%). This treatment resulted in inhibition zone diameters ranging from 35 to 45 mm. Cinnamon oil exhibited lower minimum inhibitory concentration and minimum bactericidal concentration values compared to norfloxacin for all isolates. Additionally, cinnamon oil significantly reduced the expression of biofilm-associated genes (treC, fimA, and mrkA) when compared to isolates treated with norfloxacin or untreated. In conclusion, this study identified a high level of MDR K. pneumoniae with strong and moderate biofilm formation abilities in pneumonic sheep and goats in Sharika Governorate, Egypt. Although cinnamon oil demonstrated potential antibacterial and anti-biofilm properties against K. pneumoniae, further research is required to investigate its effectiveness in treating K. pneumoniae infections in pneumonic sheep and goats.

Using ear tags, farmers can track specific data for individual lambs such as age, medical records, body condition scores, genetic abnormalities; to make data-based decisions. However, automatic reading of ear tags using Radio Frequency Identification requires (a) an antenna, (b) a reader, (c) comparable reading standards; consequently, such a system can be expensive and impractical for a large group of lambs, especially in situations where animals are not required to have a compulsory Electronic identification, contrary to the case in Europe, where it is mandatory. Therefore, this paper proposes a machine vision system for indoor animals to identify individual lambs using existing ear tags. Using a camera that is installed such that the trough is visible, the drinking behaviour of the lambs can be automatically monitored. Data from different lamb groups in two different pens were collected. The identification algorithm includes a number of steps: (1) Detecting the lambs\' face, and its ear tags in each image; (2) Cropping each ear tag image and discerning the digits on it to obtain the tag number; (3) Tracking each lamb throughout the visit using a tracking algorithm; (4) Recovering the ear tag number using an algorithm that incorporates a list of the ear tag numbers of the lambs in each pen, and the predictions for each lamb in each frame. The You Only Look Once deep learning object detection algorithm was applied to locate and localise the lamb\'s face and the digits in an image. The models\' datasets contained 1 160 and 2 165 images for the training set, and 325 and 616 images for the validation set, respectively. The algorithm output includes the identity of each lamb that came to drink, and its duration. The identification system resulted in a total accuracy of 93% for the data tested, which consisted of approximately 900 visits to the drinking stations, and was collected in real time in a natural environment. The ground truth of each video of a visit was obtained by human observation by studying the video. We checked if there was indeed a visit to the water trough and if so we registered the ear tag number of each lamb whose head was above the water trough. Thus, identifying lambs in a commercial pen using a relatively inexpensive and easily installed system consisting of a RGB camera and a computer vision-based algorithm has potential for farm management.

Ovine and caprine theileriosis is a tick-borne hemoprotozoan disease, caused by Theileria spp., responsible for heavy economic losses in terms of high mortality and morbidity rates. Diagnosis of ovine theileriosis is primarily based on clinical symptoms, microscopic screening of stained blood smears, and lymph node biopsy smears, but the limitations of these detection methods against Theileria spp. infection limits their specificity.
To overcome these limitations, the current study reports the differential diagnosis of theileriosis through a blood smear examination and polymerase chain reaction (PCR) in small ruminants from Pakistan.
The study was conducted on 1,200 apparently healthy small ruminants (737 sheep and 463 goats). First, blood smears were screened for the presence of Theileria piroplasms in red blood cells. Second, PCR amplification based on 18S rRNA gene was performed by using primers specific to Theileria spp.
Out of the 1,200 samples of examined blood smears, 100 animals (8.33%) were found positive for Theileria species, which showed intra-erythrocytic bodies in the form of dot and comma shapes. Amplification of the isolated DNA from randomly collected blood samples of 737 sheep and 463 goats showed that an amplicon size of 1,098 bp was positive for Theileria spp. In total, 315 out of the 1,200 small ruminants examined in this study were found positive for Theileria spp. DNA through PCR amplification. Notably, out of the 885 blood samples negative by PCR amplification, only 15 blood samples were found positive by the blood smear test. Conversely, 230 blood samples that tested negative in the smear technique produced a specific band through PCR amplification. Overall, the sensitivity and specificity rates were 26.98% and 98.31% for the blood smear method and 73.01% and 100% for the PCR assay, respectively.
Our finding suggests that PCR is the gold standard method compared to the conventional method of smear examination for the diagnosis of ovine and caprine theileriosis in Pakistan.

OBJECTIVE: In the present study, gastrointestinal parasites (GIP) prevalence in sheep and goats from India was estimated by scientometrics.
METHODS: The GIP prevalence studies (86) reported during 1998-2021 was obtained from online databases, and offline literatures, meta-analysis was undertaken by using \"meta\" package in R-Software.
RESULTS: The pooled GIP prevalence in India was 65% (95% level CI 56-74%, PI 12-96%) in sheep, 74% (95% level CI 66-80%, PI 14-98%) in goats and 68% (95% level CI 62-73%, PI 15-96%) in sheep and goats. Period-wise analysis revealed a higher GIP prevalence during 1998-2010 than the recent periods. Among the zones, GIP prevalence was higher in the Central zone (79%) in sheep, North zone (82%) in goats, and Central zone (78%) in sheep and goats. Based on the state-wise analysis, a higher GIP prevalence was observed in Haryana for sheep, Himachal Pradesh for goats, and Uttarakhand for sheep and goats. In India, a higher prevalence was reported by nematodes than other parasite classes. Based on climatic regions, a higher GIP prevalence was observed in semi-arid Steppe type region (84%).
CONCLUSIONS: The high prevalence zones, states, species, sample types, parasite classes, parasite species and climate regions of GIP will be useful in decision-making and resource use efficiency by policymakers and stake holders. There is an urgent need to prevent the occurrence of GIP infections in sheep and goats by adopting scientific management practices, effective therapeutic measures, and hygienic practices on farms to augment the economic benefits to sheep and goat farmers in India.

Caseous lymphadenitis (CLA) is a chronic suppurative bacterial infection caused by Corynebacterium pseudotuberculosis (C. pseudotuberculosis) affecting superficial and internal lymph nodes and internal organs of small ruminants.
Through the use of molecular methods, this study aimed to estimate the prevalence of CLA and its contributing factors as well as the degree of genetic diversity and epidemiological relationships among C. pseudotuberculosis isolates from slaughtered sheep and goats in various districts of Duhok Province, Iraq.
A total of 18,836 carcasses (15,775 sheep and 3,061 goats) were inspected by veterinarians at slaughterhouses [Duhok-Sumel (2,453 sheep + 627 goats), Zakho (6,000 sheep), Bardarash (1,117 sheep + 379 goats), Amedi (413 sheep + 178 goats) and Akre (5,792 sheep + 1,877 goats)] in Duhok Province for detection the prevalence rate of CLA using molecular techniques.
The prevalence of the disease was 0.94% and 1.93% in sheep and goats, respectively. Sheep in Duhok-Sumel and goats in Amedi were at a higher risk of infection than the animals in another location, with a prevalence rate of 4.31% and 6.18%, respectively. Sheep and goats of older age were more susceptible. Females were more susceptible than males in all districts except Duhok-Sumel where the reverse was true. ERIC-PCR analysis grouped the bacterial isolates into 11 different genotypes. The maximum likelihood phylogenetic tree of partial sequences of the 16S rRNA gene sequences of C. pseudotuberculosis revealed no divergent sequences discovered in this study.
A strict control program needs to be applied to reduce the entrance of pathogen from neighboring countries.

Brucellosis in sheep and goats has a significant economic and zoonotic impact on the livestock population of Duhok province, Iraq. A total of 681 blood samples from aborted sheep and goats were collected from different flocks in seven districts of Duhok and tested using real-time polymerase chain reaction (RT-PCR). Logistic regression was used for the analysis of the potential risk factors associated with RT-PCR positivity. Results revealed an overall prevalence of 35.45% (CI = 2.57) and 23.8% 18 (CI = 0.44) in sheep and goats, respectively. A statistically significant (p = 0.004) difference in prevalence was found between the two species. RT-PCR detected more positive cases in older-aged animals (OR = 0.7164; p = 0.073). A significant difference was found in RT-PCR positivity in relation to different risk factors, including body condition, treatment taken, and abortion frequency (<0.001). The phylogenetic tree based on the 16S rRNA gene indicated that the isolates belonged to B. melitensis and shared a common ancestor and were genetically related to the United States of America (USA), Greece, China, and Nigeria. This study demonstrates that brucellosis is widely prevalent in the study regions. Therefore, the study suggests the implementation of preventive control measures for brucellosis.