Prevalence of Cryptosporidium spp. in Yaks (Bos grunniens) in China: A Systematic Review and Meta-Analysis

Effects of Cryptosporidium parvum infection on intestinal fungal microbiota in yaks (Bos grunniens)

During the last decade, researchers had started to focus on the relationship between intestinal parasitic infection and variation of intestinal microflora. Cryptosporidium is a widely known opportunistic and zoonotic pathogen. Several studies have shown that Cryptosporidium infection has impact to alter the gut microflora. However, there are only few studies referring to the fungal microflora changes in response to Cryptosporidium infection in highland ruminants. Therefore, the present study was performed for exploring the alternations of intestinal fungal microbiota in yaks after exposure to Cryptosporidium infection. In present study, Amplicon sequencing of ITS regions was used to study the variations of fungal microflora in yaks. After filtering the raw data, over 45 000 and 62 000 clean data were obtained in uninfected and infected yaks, respectively. By using alpha diversity analysis, it was found that there is no significant difference in the richness and evenness when positive samples were compared with negative ones, whereas intestinal fungal communities in different taxa in yaks were changed. The results of present study depicted that 2-phyla and 21-genera in the infected animals had significantly (P < 0.05) changed. These genera were Septoria, Coniothyrium, Cleistothelebolus, Bensingtonia, Cystobasidium, Filobasidium, Coprotus, Carex, Blumeria, Coprinellus, Leucosporidium, Phialophora, Isolepis, Ascobolus, Thecaphora, Mortierella, Urocystis, Symmetrospora and Lasiobolus. In addition, we found variations in 28 enzymes suggesting that the function of microbiota was also affected. It is concluded that there are drastic changes in the fungal microflora and microbiota functions after exposure to Cryptosporidium infection in yak. Our results help to focus on the prompt way for the development of new therapies to control Cryptosporidiosis.

Detection of the dominant pathogens in diarrheal calves of Ningxia, China in 2021-2022

Introduction

Calf diarrhea is a complex disease that has long been an unsolved problem in the cattle industry. Ningxia is at the forefront of China in the scale of cattle breeding, and calf diarrhea gravely restricts the development of Ningxia's cattle industry.

Methods

From July 2021 to May 2022, we collected diarrhea stool samples from calves aged 1-103 days from 23 farms in five cities in Ningxia, and performed PCR using specific primers for 15 major reported pathogens of calf diarrhea, including bacteria, viruses, and parasites. The effect of different seasons on the occurrence of diarrhea in calves was explored, the respective epidemic pathogens in different seasons were screened, and more detailed epidemiological investigations were carried out in Yinchuan and Wuzhong. In addition, we analyzed the relationship between different ages, river distributions and pathogen prevalence.

Results

Eventually, 10 pathogens were detected, of which 9 pathogens were pathogenic and 1 pathogen was non-pathogenic. The pathogens with the highest detection rate were Cryptosporidium (50.46%), Bovine rotavirus (BRV) (23.18%), Escherichia coli (E. coli) K99 (20.00%), and Bovine coronavirus (BCoV) (11.82%). The remaining pathogens such as Coccidia (6.90%), Bovine Astrovirus (BoAstV) (5.46%), Bovine Torovirus (BToV) (4.09%), and Bovine Kobuvirus (BKoV) (3.18%) primarily existed in the form of mixed infection.

Discussion

The analysis showed that different cities in Ningxia have different pathogens responsible for diarrhea, with Cryptosporidium and BRV being the most important pathogens responsible for diarrhea in calves in all cities. Control measures against those pathogens should be enforced to effectively prevent diarrhea in calves in China.

Meta-Analysis of the Prevalence of Giardia duodenalis in Cattle in China

Giardia duodenum (G. duodenalis) can cause giardiasis and infect a variety of hosts. So far, there have been no detailed data regarding the positive rate of G. duodenalis in cattle in China. Here, a systematic literature review was carried out to investigate the epidemiology of bovine G. duodenalis in China. To perform the meta-analysis, the databases China National Knowledge Infrastructure, VIP Chinese Journal Databases, WanFang Databases, PubMed, and ScienceDirect were employed for screening studies related to the prevalence of G. duodenalis in cattle in China. The total prevalence of G. duodenalis in cattle was estimated to be 8.00% (95% confidence interval [CI]: 5.51-11.62). In the age subgroup, the prevalence of G. duodenalis in calves (11.72%; 95% CI: 7.75-17.73) was significantly higher than that in cattle of other age groups. An analysis based on seasons showed that the prevalence of G. duodenalis in cattle was higher in summer (9.69%; 95% CI: 2.66-35.30) than that in other seasons. The prevalence of G. duodenalis in cattle in 2016 or later was 11.62% (95% CI: 6.49-20.79), which was significantly higher than that before 2016 (3.65%; 95% CI: 2.17-6.12). The highest prevalence of G. duodenalis in cattle was 74.23% (95% CI: 69.76-78.45) recorded in South China. The NOAA's National Center for Environmental Information (https://gis.ncdc.noaa.gov/maps/ncei/cdo/monthly) was used to extract relevant geoclimatic data (latitude, longitude, elevation, temperature, precipitation, humidity, and climate). By analyzing the data of each subgroup, it was shown that age of cattle, sampling year, province, region, temperature, and climate were potential risk factors for giardiasis prevalence in cattle. Based on the analysis of common factors and geographical factors, it is recommended to strengthen effective management measures (e.g., ventilation and disinfection in warm and humid areas) and formulate relevant policies according to local conditions. Breeders should pay more attention to the detection of G. duodenalis in calves, to prevent giardiasis prevalence in cattle of different ages, thereby reducing the economic losses of animal husbandry in China.