Literature DB >> 28979256

Advances and Perspectives on the Epidemiology of Bovine Cryptosporidium in China in the Past 30 Years.

Rongjun Wang1, Guanghui Zhao2, Yunya Gong3, Longxian Zhang1.   

Abstract

Major progress has been made in understanding the epidemiology of bovine Cryptosporidium in China in the past 30 years. The overall infection rate in that period was 14.50% (5265/36316), with different prevalence being observed among dairy cattle, yaks, beef cattle, and buffalo. The infection rate declined as the animals' ages increased and the lowest prevalence occurred in winter. Ten Cryptosporidium species and two genotypes have been found in cattle, with Cryptosporidium parvum, C. andersoni, C. bovis, and C. ryanae being the commonest species. Cryptosporidium bovis rather than C. parvum predominated in preweaned dairy cattle, and C. parvum IIdA15G1 and IIdA19G1 were the only subtypes detected in dairy cattle. Two subtype families, IIa and IId, were found in yaks. Population genetic analysis detected an epidemic population structure in C. andersoni, which suggested that the prevalence of C. andersoni in China is not attributable to the introduction of dairy cattle. Moreover, C. parvum IId subtypes probably dispersed from western Asia to other geographic regions based on population genetic analysis of isolates from China, Sweden, and Egypt. Therefore, we hypothesize that Cryptosporidium was introduced into China in the past, and different populations formed progressively in various hosts in response to diverse factors, including the transmission dynamics, geographic isolation, host specificity, and large-scale farming. More epidemiological studies are required to test this hypothesis and to clarify the prevalence and transmission of Cryptosporidium species in China.

Entities:  

Keywords:  China; Cryptosporidium; cattle; genotype; population structure; subtype

Year:  2017        PMID: 28979256      PMCID: PMC5611413          DOI: 10.3389/fmicb.2017.01823

Source DB:  PubMed          Journal:  Front Microbiol        ISSN: 1664-302X            Impact factor:   5.640


Introduction

Cryptosporidium spp. are important zoonotic agents infecting a wide spectrum of vertebrate hosts (Xiao et al., 2004; Wang et al., 2011b). There is extensive genetic variation within the genus Cryptosporidium. To date, thirty-one recognized species and more than 60 Cryptosporidium genotypes have been discovered (Xiao et al., 2004; Wang et al., 2010; Ryan et al., 2014). Recent studies into the global causes of severe diarrhea in children suggested that Cryptosporidium is the second most important diarrheal pathogen after Rotavirus (Kotloff et al., 2013; Checkley et al., 2015; Vinayak et al., 2015). Members of the genus Cryptosporidium complete all developmental stages in a single host. Sporulated oocysts, containing four sporozoites, are released from an infected host upon defecation (O’Hara and Chen, 2011). Following ingestion by a suitable host, the motile, infective sporozoites are released through a suture in the oocyst wall and parasitize epithelial cells of the gastrointestinal tract or other tissues (Reduker et al., 1985; O’Hara and Chen, 2011). In these cells, the parasites undergo asexual multiplication, which produces Type-I and Type-II merozoites (Current and Reese, 1986). Type-II merozoites ultimately produce either male or female equivalent sexual reproductive stages, microgametocytes and macrogametocytes, respectively (O’Hara and Chen, 2011). After the macrogamonts are fertilized by the microgametes, oocysts are formed and then sporulated in the infected host. Thick-walled and thin-walled representing two different types of oocysts are produced. The former is commonly excreted from the host, and the latter is primarily involved in autoinfection. Cryptosporidium can be transmitted by the fecal-oral route, via either direct contact or ingestion of contaminated food or water (Xiao et al., 2004; Wang et al., 2011c). Cattle are the mammals in which Cryptosporidium infection is most commonly found, and preweaned calves are considered the most important reservoir for zoonotic infection (Wang et al., 2011b; Li F. et al., 2016). Cryptosporidium parvum, C. bovis, C. andersoni, and C. ryanae are predominantly responsible for bovine cryptosporidiosis, although several other Cryptosporidium species and genotypes are also discovered in cattle, including C. felis, C. hominis, C. suis, C. scrofarum, C. meleagridis, and C. suis-like genotype (Trout and Santín, 2008; Wang et al., 2011b; Zhang et al., 2013; Huang et al., 2014; Robertson et al., 2014). Studies conducted in numerous industrialized nations have suggested that C. parvum is the species most often found in preweaned calves and that it is a significant cause of diarrhea (Wang et al., 2011b). Cryptosporidium bovis and C. ryanae usually infect weaned calves and yearlings, although C. bovis is more commonly seen than C. ryanae, but neither are associated with the occurrence of diarrhea (Santín et al., 2008; Wang et al., 2011b). In contrast, C. andersoni is commonly observed in adult cattle and has been associated with gastritis, reduced milk yield, and poor weight gain (Esteban and Anderson, 1995; Wang et al., 2011b). Cryptosporidium infections are frequently detected in humans and various domestic and wild animals in China (Wang et al., 2008, 2010, 2011c, 2014a; Feng et al., 2012). Among these, cattle are one of the major targets in which Cryptosporidium is studied. To date, 97 papers involving 24 provinces, autonomous districts, and municipalities of China have been published on Cryptosporidium infections in cattle since the first case was reported in Zhou et al. (1985). The present paper focuses on the advances in the molecular epidemiology of bovine Cryptosporidium that have occurred in China in the past 30 years.

Cryptosporidium Infection Rate

These data were calculated from 97 published papers reporting bovine Cryptosporidium infections in China. The overall infection rate was 14.50% (5265/36316), with a prevalence of 13.98% (4405/31504), 20.92% (667/3189), 10.47% (122/1165), and 15.50% (71/458) in dairy cattle, yaks, beef cattle, and buffalo, respectively (χ2 = 128.32; P < 0.01). The infection rate for Cryptosporidium species was 45.78% (141/308) in diarrheal calves (Zhou et al., 1985; Chen et al., 1992; Qin et al., 1994; Cui et al., 2014), which was significantly higher than the average prevalence in cattle (14.50%). A correlation between the prevalence and the age of the animals was observed. In general, the infection rate declined as the age of the animals increased (Guo et al., 1993; Chen et al., 2011; Wang et al., 2011a,b; Mi et al., 2013; Ma et al., 2014). In dairy cattle in Henan Province, the infection rates of Cryptosporidium species were 21.5% (172/801) in preweaned calves, 11.3% (86/758) in 3–11-month-old calves, 5.7% (5/262) in 12–24-month-old heifers, and 1.0% (3/295) in >24-month-old adult cattle (Wang et al., 2011a,b). In contrast, only two studies have determined the prevalence of Cryptosporidium across different seasons, and the prevalence was lowest in winter in both dairy cattle (Wang et al., 2011b) and yaks (Mi et al., 2013).

Cryptosporidium Species Distribution

A total of 1690 Cryptosporidium-positive isolates were genotyped and ten Cryptosporidium species and two genotypes were identified, including C. bovis, C. andersoni, C. ryanae, C. parvum, C. xiaoi, C. ubiquitum, C. meleagridis, C. hominis, C. tyzzeri, C. serpentis, C. suis-like genotype, and a new genotype (Table ). Cryptosporidium bovis (129/364) rather than C. parvum (119/364) was the predominant Cryptosporidium species in preweaned dairy cattle (Wang et al., 2011b; Zhang et al., 2013; Cui et al., 2014; Huang et al., 2014; Qi et al., 2015). The earliest detection of C. bovis was in 1-week-old calves, indicating that the prepatent period was shorter than the previously recorded 10–12 days (Wang et al., 2011b). Cryptosporidium andersoni was most commonly found in heifers and adult cattle (Wang et al., 2011a). In contrast, another two common species, C. bovis and C. ryanae, occurred at different rates in different epidemiology studies. It is noteworthy that C. tyzzeri (formerly Cryptosporidium mouse genotype I) and C. serpentis probably arose from contamination (Chen and Huang, 2012), and the authors stated in the GenBank submissions that identical sequences (DQ855266 and DQ855267) were found in isolates from pigs with a reverse transcription–PCR analysis of the small subunit ribosomal RNA (Chen and Huang, 2007), and several SSU rRNA gene sequences of C. tyzzeri (EU369382, EF025503, EU369384, EU369381, and EU369383) previously isolated from bovine samples have also been deposited in GenBank. Neither C. tyzzeri nor C. serpentis is a known bovine parasite (Wang et al., 2011a,b). Cryptosporidium species/genotypes identified in dairy cattle, yaks, beef cattle, and buffalo in China. As in dairy cattle, C. parvum, C. andersoni, C. bovis, and C. ryanae were also the four Cryptosporidium species most commonly identified in yaks, although several other Cryptosporidium species and genotypes have been detected (Table ). However, the distribution of different Cryptosporidium species according to yak age is still unclear. A study conducted in Qinghai suggested that C. bovis was the predominant species in yaks ≤ 2 years old, whereas C. parvum was more common in older yaks (Mi et al., 2013). In contrast, a recent study in Tibet showed that C. andersoni was predominant in 1–2-year-old yaks, whereas C. bovis was commonly found in older yaks (Li P. et al., 2016). Therefore, more studies are required to clarify the Cryptosporidium distributions according to age in different groups of animals. Two studies that genotyped Cryptosporidium-positive isolates from beef cattle and buffalo identified only C. andersoni, C. bovis, and C. ryanae (Ma et al., 2015; Qi et al., 2016).

Cryptosporidium Subtypes

Subtyping tools have been used extensively in studies of the transmission of C. hominis, C. parvum, and several other related Cryptosporidium species, including C. meleagridis and C. ubiquitum, in both humans and animals (Xiao, 2010; Li et al., 2014; Ryan et al., 2014). One of the most frequently used subtyping tools is a DNA sequence analysis of the 60-kDa glycoprotein (gp60, also known as gp40/15) gene (Ryan et al., 2014). In dairy cattle, a total of 141 C. parvum isolates have been subtyped by sequencing of the gp60 gene (Table ). Only the IId subtype family was identified, including IIdA15G1 in Gansu Province and the Ningxia Hui Autonomous Region (Cui et al., 2014; Huang et al., 2014; Zhang et al., 2015) and IIdA19G1 in Henan and Heilongjiang Provinces (Wang et al., 2011b; Zhang et al., 2013). Another study described a cryptosporidiosis outbreak caused by C. parvum subtype IIdA15G1 on a dairy farm in northwestern China (Cui et al., 2014). Three C. meleagridis isolates from preweaned calves were subtyped as IIIeA22G2R1, which was not identical to any known C. meleagridis subtype (Zhang et al., 2013). The subtypes of C. parvum in yaks appear to be more heterogeneous than those in dairy cattle. Thirteen Cryptosporidium-positive isolates from yaks in Qinghai Province were identified as family IIa and five subtypes were detected (Mi et al., 2013). In another study, three IId subtypes (IIdA15G1, IIdA18G1, and IIdA19G1) were detected in five yaks from Qinghai, Gansu, and Tibet, and one C. ubiquitum isolate belonged to zoonotic XIIa subtype 2 (Qi et al., 2015). To date, both C. parvum subtype IIdA19G1 and C. ubiquitum XIIa subtype 2 have also been found in humans in China (Wang et al., 2013; Li et al., 2014). Cryptosporidium subtypes identified in dairy cattle and yaks in China.

Population Genetics

With the development of Cryptosporidium subtyping tools, it has become possible to assess the genetic and population structures of Cryptosporidium species (Xiao and Ryan, 2008). A total of 149 C. andersoni isolates from beef cattle (n = 38) and dairy cattle (n = 111) were subtyped with a multilocus sequence typing (MLST) tool based on the MS1, MS2, MS3, and MS16 loci. Fourteen MLST subtypes were identified and A4,A4,A4,A1 was the predominant subtype (Wang et al., 2012; Zhao et al., 2013; Qi et al., 2016). To test the possibility that this linkage disequilibrium (LD) was attributable to the clonal expansion of one or more subtype, masking the underlying equilibrium, an LD analysis was conducted using only the MLST subtypes (by considering each group of isolates with the same MLST subtype as one individual (Wang et al., 2012), 14 MLST subtypes were used in this analysis), with LIAN version 3.7. This analysis suggested that the C. andersoni population in cattle in China had an epidemic population structure (ISA = 0.0010, VD < L). An analysis using STRUCTURE 2.3.4 with K-means partitional clustering and the admixture model revealed three ancient lineages among the 149 C. andersoni specimens (Figure ). Population structure inferred by Bayesian clustering using multilocus subtype informations of C. andersoni. K-means partitional clustering and the admixture mode were used in STRUCTURE 2.3.4 and the most appropriate number of K was calculated using an ad hoc statistic-based approach implemented in Structure Harvester v0.6.94 (http://taylor0.biology.ucla.edu/struct_harvest/). Cryptosporidium parvum is another species that has been targeted for the population genetic analysis in cattle. Cryptosporidium parvum IId isolates (n = 111) from several species of animals in China, Sweden, and Egypt (Wang et al., 2014b) were subtyped with an MLST tool based on 12 microsatellite, minisatellite, and single-nucleotide polymorphism loci (Wang et al., 2014b). Host adaptation and significant geographic segregation were both observed in the MLST subtypes. A clonal population structure was detected in the C. parvum IId isolates from China and Sweden. Three ancestral lineages and the same RPGR (retinitis pigmentosa GTPase regulator) sequence were shared by the isolates examined (Wang et al., 2014b). The authors concluded that the C. parvum IId subtypes probably dispersed from western Asia to other geographic regions (Wang et al., 2014b; Zahedi et al., 2016).

Conclusion and Perspectives

Epidemiological data suggest that Cryptosporidium infections are commonly found in cattle in China. The infection rate declines as the age of the animals increases, and the lowest infection rate occurs in winter. Similar to the species distributions reported in other countries and areas of the world, C. parvum, C. bovis, C. andersoni and C. ryanae are the four commonest Cryptosporidium species in cattle. Cryptosporidium bovis rather than C. parvum was the dominant Cryptosporidium species in preweaned dairy cattle, which differs from the dominant species in this age group in other countries and areas of the world. Uniquely, the C. parvum subtypes identified in dairy cattle were all zoonotic IIdA15G1 or IIdA19G1 (Wang et al., 2014b). Population genetic analyses of 149 C. andersoni isolates in three published studies confirmed an epidemic population structure, and as proposed in a previous study, these data suggest that the prevalence of C. andersoni in China is not attributable to the introduction of dairy cattle (Wang et al., 2012). According to a population genetic analysis, the C. parvum IId subtypes probably dispersed from western Asia to other geographic regions (Wang et al., 2014b). Therefore, we hypothesize that Cryptosporidium was introduced into China at some time in the past, and then different Cryptosporidium populations developed progressively in various hosts in response to diverse factors, including the transmission dynamics, geographic isolation, host specificity, and large-scale farming. More epidemiological studies are required to confirm this hypothesis and to clarify the transmission and public-health impact of Cryptosporidium species in China.

Author Contributions

LZ had the ideal for the review and revised the manuscript. RW wrote the paper. RW, GZ, and YG reviewed and abstracted data from each selected article.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Table 1

Cryptosporidium species/genotypes identified in dairy cattle, yaks, beef cattle, and buffalo in China.

AnimalIsolate no.Cryptosporidium species/genotypeReference
Dairy cattle1437C. andersoni (457), C. parvum (315), C. bovis (332), C. ryanae (86), C. tyzzeri (185), C. serpentis (4), C. hominis (24), C. meleagridis (5), C. bovis + C. ryanae (9), C. parvum + C. bovis (6), C. parvum + C. ryanae (4), C. parvum + C. andersoni (3)Watanabe et al., 2005; Feng et al., 2007; Zhou et al., 2007; Liu et al., 2009; Su et al., 2011; Wang et al., 2011a,b; Chen and Huang, 2012; Zhang et al., 2013, 2015; Cui et al., 2014; Huang et al., 2014; Ma et al., 2015; Qi et al., 2015, 2016
Yak337C. andersoni (75), C. parvum (28), C. bovis (143), C. ryanae (78), C. ubiquitum (2), C. xiaoi (1), C. suis-like genotype (2), C. parvum + C. bovis (2), C. bovis + C. ryanae (4), new genotype (2)Mi et al., 2013; Ma et al., 2014; Qin et al., 2014; Qi et al., 2015; Li P. et al., 2016
Beef cattle108C. andersoni (85), C. bovis (16), C. ryanae (6), C. bovis + C. ryanae (1)Ma et al., 2015; Qi et al., 2016
Buffalo40C. bovis (7), C. ryanae (33)Ma et al., 2015
Table 2

Cryptosporidium subtypes identified in dairy cattle and yaks in China.

AnimalCryptosporidium speciesSubtypesReference
Dairy cattleC. parvumIIdA15G1 (86), IIdA19G1 (55)Wang et al., 2011b; Zhang et al., 2013, 2015; Cui et al., 2014; Huang et al., 2014
C. meleagridisIIIeA22G2R1 (3)Zhang et al., 2013
YakC. parvumIIdA15G1 (3), IIdA18G1 (1), IIdA19G1 (1), IIaA15G2R1 (8), IIaA16G2R1 (2), IIaA14G1R1 (1), IIaA14G2R1 (1), IIaA16G3R1 (1)Mi et al., 2013; Qi et al., 2015
C. ubiquitumXIIa subtype 2 (1)Qi et al., 2015
  42 in total

1.  Prevalence and molecular characterization of Cryptosporidium spp. in dairy cattle, northwest China.

Authors:  Xiao-Xuan Zhang; Qi-Dong Tan; Dong-Hui Zhou; Xiao-Ting Ni; Guang-Xue Liu; Yan-Chuan Yang; Xing-Quan Zhu
Journal:  Parasitol Res       Date:  2015-05-24       Impact factor: 2.289

2.  Prevalence and molecular characterization of Cryptosporidium spp. and Giardia duodenalis in dairy cattle in Beijing, China.

Authors:  Fuhuang Li; Haiyan Wang; Zhenjie Zhang; Junqiang Li; Chenrong Wang; Jinfeng Zhao; Suhui Hu; Rongjun Wang; Longxian Zhang; Ming Wang
Journal:  Vet Parasitol       Date:  2016-02-03       Impact factor: 2.738

3.  Characteristics of Cryptosporidium transmission in preweaned dairy cattle in Henan, China.

Authors:  Rongjun Wang; Helei Wang; Yanru Sun; Longxian Zhang; Fuchun Jian; Meng Qi; Changshen Ning; Lihua Xiao
Journal:  J Clin Microbiol       Date:  2010-12-22       Impact factor: 5.948

4.  Molecular characterization of Cryptosporidium spp. in pre-weaned calves in Shaanxi Province, north-western China.

Authors:  M Z Qi; Y Q Fang; X T Wang; L X Zhang; R J Wang; S Z Du; Y X Guo; Y Q Jia; L Yao; Q D Liu; G H Zhao
Journal:  J Med Microbiol       Date:  2014-11-10       Impact factor: 2.472

Review 5.  The cell biology of cryptosporidium infection.

Authors:  Steven P O'Hara; Xian-Ming Chen
Journal:  Microbes Infect       Date:  2011-03-31       Impact factor: 2.700

6.  Prevalence and molecular identification of Cryptosporidium spp. in pigs in Henan, China.

Authors:  Rongjun Wang; Shuxing Qiu; Fuchun Jian; Sumei Zhang; Yujuan Shen; Longxian Zhang; Changshen Ning; Jianping Cao; Meng Qi; Lihua Xiao
Journal:  Parasitol Res       Date:  2010-08-10       Impact factor: 2.289

7.  Prevalence and phylogenetic analysis of Cryptosporidium in pigs in eastern China.

Authors:  F Chen; K Huang
Journal:  Zoonoses Public Health       Date:  2007       Impact factor: 2.702

8.  Distribution of Cryptosporidium species in Tibetan sheep and yaks in Qinghai, China.

Authors:  Pei Li; Jinzhong Cai; Min Cai; Wenxian Wu; Chunhua Li; Mengtong Lei; Hailing Xu; Lijun Feng; Jiawen Ma; Yaoyu Feng; Lihua Xiao
Journal:  Vet Parasitol       Date:  2015-11-26       Impact factor: 2.738

9.  Cryptosporidium muris: prevalence, persistency, and detrimental effect on milk production in a drylot dairy.

Authors:  E Esteban; B C Anderson
Journal:  J Dairy Sci       Date:  1995-05       Impact factor: 4.034

10.  Subtyping Cryptosporidium ubiquitum,a zoonotic pathogen emerging in humans.

Authors:  Na Li; Lihua Xiao; Keri Alderisio; Kristin Elwin; Elizabeth Cebelinski; Rachel Chalmers; Monica Santin; Ronald Fayer; Martin Kvac; Una Ryan; Bohumil Sak; Michal Stanko; Yaqiong Guo; Lin Wang; Longxian Zhang; Jinzhong Cai; Dawn Roellig; Yaoyu Feng
Journal:  Emerg Infect Dis       Date:  2014-02       Impact factor: 6.883

View more
  12 in total

1.  Molecular detection of Cryptosporidium and Enterocytozoon bieneusi in dairy calves and sika deer in four provinces in Northern China.

Authors:  Wei-Fu Tao; Hong-Bo Ni; Hong-Feng Du; Jing Jiang; Jiao Li; Hong-Yu Qiu; Xiao-Xuan Zhang
Journal:  Parasitol Res       Date:  2019-11-26       Impact factor: 2.289

2.  Occurrence and Molecular Characterization of Cryptosporidium spp. in Dairy Cattle and Dairy Buffalo in Yunnan Province, Southwest China.

Authors:  Ying-Wen Meng; Fan-Fan Shu; Li-Hua Pu; Yang Zou; Jian-Fa Yang; Feng-Cai Zou; Xing-Quan Zhu; Zhao Li; Jun-Jun He
Journal:  Animals (Basel)       Date:  2022-04-15       Impact factor: 3.231

3.  Occurrence and genotyping of Giardia duodenalis and Cryptosporidium in pre-weaned dairy calves in central Sichuan province, China.

Authors:  Zhijun Zhong; Jiaming Dan; Guangwen Yan; Rui Tu; Yinan Tian; Suizhong Cao; Liuhong Shen; Junliang Deng; Shumin Yu; Yi Geng; Xiaobin Gu; Ya Wang; Haifeng Liu; Guangneng Peng
Journal:  Parasite       Date:  2018-09-04       Impact factor: 3.000

4.  Outbreak of cryptosporidiosis due to Cryptosporidium parvum subtype IIdA19G1 in neonatal calves on a dairy farm in China.

Authors:  Na Li; Rui Wang; Min Cai; Wen Jiang; Yaoyu Feng; Lihua Xiao
Journal:  Int J Parasitol       Date:  2019-05-07       Impact factor: 3.981

5.  Long-term production effects of clinical cryptosporidiosis in neonatal calves.

Authors:  Hannah J Shaw; Elisabeth A Innes; Liam J Morrison; Frank Katzer; Beth Wells
Journal:  Int J Parasitol       Date:  2020-04-08       Impact factor: 3.981

6.  Molecular characterization of three intestinal protozoans in hospitalized children with different disease backgrounds in Zhengzhou, central China.

Authors:  Fuchang Yu; Dongfang Li; Yankai Chang; Yayun Wu; Zhenxin Guo; Liting Jia; Jinling Xu; Junqiang Li; Meng Qi; Rongjun Wang; Longxian Zhang
Journal:  Parasit Vectors       Date:  2019-11-15       Impact factor: 3.876

7.  Prevalence and genotypic identification of Cryptosporidium spp. and Enterocytozoon bieneusi in captive Asiatic black bears (Ursus thibetanus) in Heilongjiang and Fujian provinces of China.

Authors:  Sheng-Nan Wang; Yun Sun; Huan-Huan Zhou; Gang Lu; Meng Qi; Wei-Shi Liu; Wei Zhao
Journal:  BMC Vet Res       Date:  2020-03-10       Impact factor: 2.741

8.  Molecular characterization and distribution of Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi from yaks in Tibet, China.

Authors:  Yayun Wu; Yankai Chang; Xiangqian Zhang; Yuancai Chen; Dongfang Li; Lu Wang; Shuangjian Zheng; Rongjun Wang; Sumei Zhang; Fuchun Jian; Changshen Ning; Jiakui Li; Longxian Zhang
Journal:  BMC Vet Res       Date:  2019-11-21       Impact factor: 2.741

9.  Prevalence and molecular characterization of Cryptosporidium spp. and Giardia duodenalis in dairy cattle in Gansu, northwest China.

Authors:  Yilin Wang; Jianke Cao; Yankai Chang; Fuchang Yu; Sumei Zhang; Rongjun Wang; Longxian Zhang
Journal:  Parasite       Date:  2020-11-18       Impact factor: 3.000

10.  Population structure and geographical segregation of Cryptosporidium parvum IId subtypes in cattle in China.

Authors:  Zhenjie Zhang; Suhui Hu; Wentao Zhao; Yaqiong Guo; Na Li; Zezhong Zheng; Longxian Zhang; Martin Kváč; Lihua Xiao; Yaoyu Feng
Journal:  Parasit Vectors       Date:  2020-08-18       Impact factor: 3.876

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.