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Majeed QAH, AlAzemi MS, Al-Sayegh MT, Abdou NEMI. Epidemiological and Molecular Study of Cryptosporidium in Preweaned Calves in Kuwait. Animals (Basel) 2022; 12:1805. [PMID: 35883352 PMCID: PMC9312042 DOI: 10.3390/ani12141805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 07/09/2022] [Accepted: 07/11/2022] [Indexed: 11/16/2022] Open
Abstract
Cryptosporidium is a worldwide enteric protozoan parasite that causes gastrointestinal infection in animals, including humans. The most notable species is Cryptosporidium parvum because of its zoonotic importance; it is also the leading cause of cryptosporidiosis in preweaned calves. A cross-sectional study was conducted to determine the prevalence of Cryptosporidium infection, investigate the potential risk factors, and use molecular diagnosis to identify the predominant Cryptosporidium spp. in preweaned calves in Kuwait. Of 175 preweaned calves, Cryptosporidium antigens were detected in 58 (33.1%) using rapid lateral immunochromatography assay (IC). Calves less than one month of age (OR = 4.32, p = 0.0001) and poor hygiene (OR = 2.85, p = 0.0075) were identified as significant risk factors associated with Cryptosporidium infection. Molecular identification revealed that C. parvum (62.8%) was the dominant species infecting preweaned calves in Kuwait. In contrast, C. bovis and C. andersoni were recorded at 5.7% and 2.9%, respectively. All C. parvum gp60 nucleotide sequences were subtype IIaA15G2R1. Calves could be a source of C. parvum infection due to the similarity of the subtypes recorded previously in Kuwaiti children and preweaned calves in this study. Therefore, more research is needed to understand the Cryptosporidium transmission cycle in Kuwait.
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Affiliation(s)
- Qais A. H. Majeed
- Department Science, College of Basic Education, PAAET, Aridyia, Farwanyia 23167, Kuwait; (M.S.A.); (M.T.A.-S.)
| | - Maha S. AlAzemi
- Department Science, College of Basic Education, PAAET, Aridyia, Farwanyia 23167, Kuwait; (M.S.A.); (M.T.A.-S.)
| | - Mohammed T. Al-Sayegh
- Department Science, College of Basic Education, PAAET, Aridyia, Farwanyia 23167, Kuwait; (M.S.A.); (M.T.A.-S.)
| | - Nadra-Elwgoud M. I. Abdou
- Early Warning Center for Transboundary Animal Diseases-Gulf Cooperation Council, PAAFR, 1307 Safat, Rabyia, Farwanyia 21422, Kuwait
- Department of Medicine and Infectious Diseases, Faculty of Veterinary Medicine, Cairo University, Giza 12211, Egypt
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Nag R, Markey BK, Whyte P, O'Flaherty V, Bolton D, Fenton O, Richards KG, Cummins E. A Bayesian inference approach to quantify average pathogen loads in farmyard manure and slurry using open-source Irish datasets. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 786:147474. [PMID: 33965832 DOI: 10.1016/j.scitotenv.2021.147474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 04/26/2021] [Accepted: 04/27/2021] [Indexed: 06/12/2023]
Abstract
Farm-to-fork quantitative microbial risk assessments (QMRA) typically start with a preliminary estimate of initial concentration (Cinitial) of microorganism loading at farm level, consisting of an initial estimate of prevalence (P) and the resulting pathogen levels in animal faeces. An average estimation of the initial concentration of pathogens can be achieved by combining P estimates in animal populations and the levels of pathogens in colonised animals' faeces and resulting cumulative levels in herd farmyard manure and slurry (FYM&S). In the present study, 14 years of data were collated and assessed using a Bayesian inference loop to assess the likely P of pathogens. In this regard, historical and current survey data exists on P estimates for a number of pathogens, including Cryptosporidium parvum, Mycobacterium avium subspecies paratuberculosis (MAP), Salmonella spp., Clostridium spp., Campylobacter spp., pathogenic E. coli, and Listeria monocytogenes in several species (cattle, pigs, and sheep) in Ireland. The results revealed that Cryptosporidium spp. has potentially the highest mean P (Pmean) (25.93%), followed by MAP (15.68%) and Campylobacter spp. (8.80%) for cattle. The Pmean of E. coli is highest (7.42%) in pigs, while the Pmean of Clostridium spp. in sheep was estimated to be 7.94%. Cinitial for Cryptosporidium spp., MAP., Salmonella spp., Clostridium spp., and Campylobacter spp. in cattle faeces were derived with an average of 2.69, 4.38, 4.24, 3.46, and 3.84 log10 MPN g -1, respectively. Average Cinitial of Cryptosporidium spp., Salmonella spp., Clostridium spp., and E. coli in pig slurry was estimated as 1.27, 3.12, 3.02, and 4.48 log10 MPN g -1, respectively. It was only possible to calculate the average Cinitial of Listeria monocytogenes in sheep manure as 1.86 log10 MPN g -1. This study creates a basis for future farm-to-fork risk assessment models to base initial pathogen loading values for animal faeces and enhance risk assessment efforts.
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Affiliation(s)
- Rajat Nag
- University College Dublin, School of Biosystems and Food Engineering, Belfield, Dublin 4, Ireland.
| | - Bryan K Markey
- University College Dublin, School of Veterinary Medicine, Belfield, Dublin 4, Ireland.
| | - Paul Whyte
- University College Dublin, School of Veterinary Medicine, Belfield, Dublin 4, Ireland.
| | - Vincent O'Flaherty
- National University of Ireland Galway, School of Natural Sciences, Galway, Ireland.
| | - Declan Bolton
- TEAGASC, Ashtown Food Research Centre, Ashtown, Dublin 15, Ireland.
| | - Owen Fenton
- TEAGASC, Environment Research Centre, Johnstown Castle, County Wexford, Ireland.
| | - Karl G Richards
- TEAGASC, Environment Research Centre, Johnstown Castle, County Wexford, Ireland.
| | - Enda Cummins
- University College Dublin, School of Biosystems and Food Engineering, Belfield, Dublin 4, Ireland.
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O'Leary JK, Sleator RD, Lucey B. Cryptosporidium spp. diagnosis and research in the 21 st century. Food Waterborne Parasitol 2021; 24:e00131. [PMID: 34471706 PMCID: PMC8390533 DOI: 10.1016/j.fawpar.2021.e00131] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 08/06/2021] [Accepted: 08/17/2021] [Indexed: 01/01/2023] Open
Abstract
The protozoan parasite Cryptosporidium has emerged as a leading cause of diarrhoeal illness worldwide, posing a significant threat to young children and immunocompromised patients. While endemic in the vast majority of developing countries, Cryptosporidium also has the potential to cause waterborne epidemics and large scale outbreaks in both developing and developed nations. Anthroponontic and zoonotic transmission routes are well defined, with the ingestion of faecally contaminated food and water supplies a common source of infection. Microscopy, the current diagnostic mainstay, is considered by many to be suboptimal. This has prompted a shift towards alternative diagnostic techniques in the advent of the molecular era. Molecular methods, particularly PCR, are gaining traction in a diagnostic capacity over microscopy in the diagnosis of cryptosporidiosis, given the laborious and often tedious nature of the latter. Until now, developments in the field of Cryptosporidium detection and research have been somewhat hampered by the intractable nature of this parasite. However, recent advances in the field have taken the tentative first steps towards bringing Cryptosporidium research into the 21st century. Herein, we provide a review of these advances.
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Affiliation(s)
- Jennifer K. O'Leary
- Department of Biological Sciences, Munster Technological University, Bishopstown Campus, Cork, Ireland
| | - Roy D. Sleator
- Department of Biological Sciences, Munster Technological University, Bishopstown Campus, Cork, Ireland
| | - Brigid Lucey
- Department of Biological Sciences, Munster Technological University, Bishopstown Campus, Cork, Ireland
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O' Leary JK, Blake L, Corcoran GD, Sleator RD, Lucey B. Development of novel methodology for the molecular differentiation of Cryptosporidium parvum gp60 subtypes via high resolution melting analysis. MethodsX 2020; 7:101157. [PMID: 33318958 PMCID: PMC7724200 DOI: 10.1016/j.mex.2020.101157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Accepted: 11/19/2020] [Indexed: 12/04/2022] Open
Abstract
Cryptosporidium species subtypes are generally identified via DNA sequencing of the gp60 gene tandem repeat motif region. Due to the immunogenic nature of its glycoprotein products, gp60 is subject to host selective pressures, genetic recombination and evolutionary processes that drive extensive polymorphism at this locus. The elucidation of the polymorphic nature of this gene has led to the current mainstay in Cryptosporidium subtyping nomenclature. This study aimed to develop a real-time polymerase chain reaction based method utilising a post-PCR application, high resolution melting (HRM) analysis, in conjunction with the abovementioned gp60 nomenclature system, in order to differentiate between Cryptosporidium parvum gp60 subtypes. Subtype differentiation is based on the difference between the melting temperatures of individual subtypes conferred by variations in the polymorphic region of gp60. • Nested gp60 primers were designed to amplify a target region of <200 base pairs for effective HRM analysis • This method presents a rapid, sensitive, cost effective alternative to conventional sequencing. • This method is highly flexible and may be applied to other loci in order to facilitate multi-locus analysis and improve the discriminative abilities of the method.
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Affiliation(s)
- Jennifer K O' Leary
- Department of Biological Sciences, Cork Institute of Technology, Bishopstown, Cork, Ireland
| | - Liam Blake
- Department of Clinical Microbiology, Cork University Hospital, Wilton, Cork, Ireland
| | - Gerard D Corcoran
- Department of Clinical Microbiology, Cork University Hospital, Wilton, Cork, Ireland
| | - Roy D Sleator
- Department of Biological Sciences, Cork Institute of Technology, Bishopstown, Cork, Ireland
| | - Brigid Lucey
- Department of Biological Sciences, Cork Institute of Technology, Bishopstown, Cork, Ireland
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O' Leary JK, Blake L, Corcoran GD, Sleator RD, Lucey B. Increased diversity and novel subtypes among clinical Cryptosporidium parvum and Cryptosporidium hominis isolates in Southern Ireland. Exp Parasitol 2020; 218:107967. [PMID: 32858044 DOI: 10.1016/j.exppara.2020.107967] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 08/04/2020] [Accepted: 08/05/2020] [Indexed: 12/15/2022]
Abstract
Reported incidence rates of cryptosporidiosis in Ireland are consistently among the highest in Europe. Despite the national prevalence of this enteric parasite and the compulsory nature of incidence surveillance and reporting, in-depth analyses seeking to genotype clinical isolates of Cryptosporidium on an intra-species level are rarely undertaken in Ireland. This molecular epidemiology study of 163 clinical Cryptosporidium isolates was conducted in Southern Ireland, from 2015 to 2018, in order to ascertain population subtype heterogeneity. Analysis was conducted via real-time PCR amplification and gp60 gene sequencing, which successfully determined the subtype designation of 149 of the 163 (91.4%) tested isolates. Overall, 12 C. parvum and five C. hominis subtypes were identified, with the incidence of the regionally predominant C. parvum species found to primarily occur during springtime months, while C. hominis incidence was largely confined to late summer and autumnal months. Additionally, one C. parvum and four C. hominis subtypes were newly reported by this study, having not been previously identified in clinical or livestock infection in Ireland. Overall, these data give insight into the diversification of the Cryptosporidium population and emergent subtypes, while also allowing comparisons to be made with clinical epidemiological profiles reported previously in Ireland and elsewhere.
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Affiliation(s)
- Jennifer K O' Leary
- Department of Biological Sciences, Cork Institute of Technology, Bishopstown, Cork, Ireland
| | - Liam Blake
- Department of Clinical Microbiology, Cork University Hospital, Wilton, Cork, Ireland
| | - Gerard D Corcoran
- Department of Clinical Microbiology, Cork University Hospital, Wilton, Cork, Ireland
| | - Roy D Sleator
- Department of Biological Sciences, Cork Institute of Technology, Bishopstown, Cork, Ireland.
| | - Brigid Lucey
- Department of Biological Sciences, Cork Institute of Technology, Bishopstown, Cork, Ireland
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Zhang Z, Hu S, Zhao W, Guo Y, Li N, Zheng Z, Zhang L, Kváč M, Xiao L, Feng Y. Population structure and geographical segregation of Cryptosporidium parvum IId subtypes in cattle in China. Parasit Vectors 2020; 13:425. [PMID: 32811542 PMCID: PMC7437029 DOI: 10.1186/s13071-020-04303-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Accepted: 08/10/2020] [Indexed: 11/10/2022] Open
Abstract
Background Cryptosporidium parvum is a zoonotic pathogen worldwide. Extensive genetic diversity and complex population structures exist in C. parvum in different geographical regions and hosts. Unlike the IIa subtype family, which is responsible for most zoonotic C. parvum infections in industrialized countries, IId is identified as the dominant subtype family in farm animals, rodents and humans in China. Thus far, the population genetic characteristics of IId subtypes in calves in China are not clear. Methods In the present study, 46 C. parvum isolates from dairy and beef cattle in six provinces and regions in China were characterized using sequence analysis of eight genetic loci, including msc6-7, rpgr, msc6-5, dz-hrgp, chom3t, hsp70, mucin1 and gp60. They belonged to three IId subtypes in the gp60 gene, including IIdA20G1 (n = 17), IIdA19G1 (n = 24) and IIdA15G1 (n = 5). The data generated were analyzed for population genetic structures of C. parvum using DnaSP and LIAN and subpopulation structures using STRUCTURE, RAxML, Arlequin, GENALEX and Network. Results Seventeen multilocus genotypes were identified. The results of linkage disequilibrium analysis indicated the presence of an epidemic genetic structure in the C. parvum IId population. When isolates of various geographical areas were treated as individual subpopulations, maximum likelihood inference of phylogeny, pairwise genetic distance analysis, substructure analysis, principal components analysis and network analysis all provided evidence for geographical segregation of subpopulations in Heilongjiang, Hebei and Xinjiang. In contrast, isolates from Guangdong, Shanghai and Jiangsu were genetically similar to each other. Conclusions Data from the multilocus analysis have revealed a much higher genetic diversity of C. parvum than gp60 sequence analysis. Despite an epidemic population structure, there is an apparent geographical segregation in C. parvum subpopulations within China. ![]()
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Affiliation(s)
- Zhenjie Zhang
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, 510642, China.,Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China
| | - Suhui Hu
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Wentao Zhao
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Yaqiong Guo
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Na Li
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Zezhong Zheng
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Longxian Zhang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, China
| | - Martin Kváč
- Institute of Parasitology, Biology Centre of the Academy of Sciences of the Czech Republic, České Budějovice, 37005, Czech Republic
| | - Lihua Xiao
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, 510642, China. .,Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China.
| | - Yaoyu Feng
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, 510642, China. .,Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China.
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Avendaño C, Ramo A, Vergara-Castiblanco C, Monteagudo LV, Sánchez-Acedo C, Quílez J. Multilocus fragment analysis of Cryptosporidium parvum from pre-weaned calves in Colombia. Acta Trop 2019; 192:151-157. [PMID: 30738722 DOI: 10.1016/j.actatropica.2019.02.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 02/05/2019] [Accepted: 02/05/2019] [Indexed: 12/17/2022]
Abstract
The intra-species genetic diversity of Cryptosporidium parvum in dairy cattle farms in the central area of Colombia was investigated using a multilocus fragment typing approach with nine variable-number tandem-repeat (VNTR) loci and the gp60 gene. Genomic DNA of 70 C. parvum isolates from pre-weaned calves in 32 farms was analysed. Most markers showed two (ML1, MSB, CP47, and MSC6-7) or three alleles (5B12, Cgd2_3850, and Cgd6_5400), although they exhibited a major allele accounting for more than 69% of specimens, which explains their low discriminatory index. The TP14 microsatellite was monomorphic while a total of six alleles were found at the ML2 microsatellite. The two novel allelic variants (219bp, 245bp) exhibited by more than 36% of specimens at the latter locus were a remarkable finding. The 10-markers typing tool provided a Hunter-Gaston discriminatory value of 0.940 (95% CI, 0.918 - 0.961) and differentiated 22 multilocus subtypes (MLTs). Nevertheless, the combination of the three most informative markers (ML2, gp60, and Cgd2_3850) differentiated 68% of MLTs and hardly impaired the discriminatory index. The fact that many MLTs (13/22) were distinctive for individual farms provides evidence for the endemic nature of the infection and the major role played by transmission within farms. The eBURST algorithm suggested a low degree of genetic divergence. All but three MLTs were clustered in a clonal complex with a star-like topology typical of clonal expansion, however linkage analysis did not find evidence of linkage disequilibrium. Bayesian analysis also identified a genetic structure with K = 3 being the best estimation of ancestral clusters, although a large proportion of isolates (35%) could not be allocated to a single population, which indicates their mixed origin. The results confirm the genetic distinctiveness of C. parvum in cattle farms in this geographical area. This is the first multilocus analysis on the intra-specific variability of Cryptosporidium from calves in South America.
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Malmuthuge N, Liang G, Griebel PJ, Guan LL. Taxonomic and Functional Compositions of the Small Intestinal Microbiome in Neonatal Calves Provide a Framework for Understanding Early Life Gut Health. Appl Environ Microbiol 2019; 85:e02534-18. [PMID: 30658973 PMCID: PMC6414372 DOI: 10.1128/aem.02534-18] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Accepted: 01/03/2019] [Indexed: 12/13/2022] Open
Abstract
A lack of information on the intestinal microbiome of neonatal calves prevents the use of microbial intervention strategies to improve calf gut health. This study profiled the taxonomic and functional composition of the small intestinal luminal microbiome of neonatal calves using whole-genome sequencing of the metagenome, aiming to understand the dynamics of microbial establishment during early life. Despite highly individualized microbial communities, we identified two distinct taxonomy-based clusters from the collective luminal microbiomes comprising a high level of either Lactobacillus or Bacteroides Among the clustered microbiomes, Lactobacillus-dominant ileal microbiomes had significantly lower abundances of Bacteroides, Prevotella, Roseburia, Ruminococcus, and Veillonella compared to the Bacteroides-dominated ileal microbiomes. In addition, the upregulated ileal genes of the Lactobacillus-dominant calves were related to leukocyte and lymphocyte chemotaxis, the cytokine/chemokine-mediated signaling pathway, and inflammatory responses, while the upregulated ileal genes of the Bacteroides-dominant calves were related to cell adhesion, response to stimulus, cell communication and regulation of mitogen-activated protein kinase cascades. The functional profiles of the luminal microbiomes also revealed two distinct clusters consisting of functions related to either high protein metabolism or sulfur metabolism. A lower abundance of Bifidobacterium and a higher abundance of sulfur-reducing bacteria (SRB) were observed in the sulfur metabolism-dominant cluster (0.2% ± 0.1%) compared to the protein metabolism-dominant cluster (12.6% ± 5.7%), suggesting an antagonistic relationship between SRB and Bifidobacterium, which both compete for cysteine. These distinct taxonomic and functional clusters may provide a framework to further analyze interactions between the intestinal microbiome and the immune function and health of neonatal calves.IMPORTANCE Dietary interventions to manipulate neonatal gut microbiota have been proposed to generate long-term impacts on hosts. Currently, our understanding of the early gut microbiome of neonatal calves is limited to 16S rRNA gene amplicon based microbial profiling, which is a barrier to developing dietary interventions to improve calf gut health. The use of a metagenome sequencing-based approach in the present study revealed high individual animal variation in taxonomic and functional abundance of intestinal microbiome and potential impacts of early microbiome on mucosal immune responses during the preweaning period. During this developmental period, age- and diet-related changes in microbial diversity, richness, density, and the abundance of taxa and functions were observed. A correlation-based approach to further explore the individual animal variation revealed potential enterotypes that can be linked to calf gut health, which may pave the way to developing strategies to manipulate the microbiome and improve calf health.
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Affiliation(s)
- Nilusha Malmuthuge
- Department of Agricultural Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Guanxiang Liang
- Department of Agricultural Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Philip J Griebel
- School of Public Health, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Le Luo Guan
- Department of Agricultural Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
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Genetic Diversity and Population Structure of Cryptosporidium. Trends Parasitol 2018; 34:997-1011. [DOI: 10.1016/j.pt.2018.07.009] [Citation(s) in RCA: 269] [Impact Index Per Article: 44.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2018] [Revised: 07/18/2018] [Accepted: 07/20/2018] [Indexed: 12/14/2022]
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Khan A, Shaik JS, Grigg ME. Genomics and molecular epidemiology of Cryptosporidium species. Acta Trop 2018; 184:1-14. [PMID: 29111140 DOI: 10.1016/j.actatropica.2017.10.023] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 10/20/2017] [Accepted: 10/26/2017] [Indexed: 11/16/2022]
Abstract
Cryptosporidium is one of the most widespread protozoan parasites that infects domestic and wild animals and is considered the second major cause of diarrhea and death in children after rotavirus. So far, around 20 distinct species are known to cause severe to moderate infections in humans, of which Cryptosporidium hominis and Cryptosporidium parvum are the major causative agents. Currently, ssurRNA and gp60 are used as the optimal markers for differentiating species and subtypes respectively. Over the last decade, diagnostic tools to detect and differentiate Cryptosporidium species at the genotype and subtype level have improved, but our understanding of the zoonotic and anthroponotic transmission potential of each species is less clear, largely because of the paucity of high resolution whole genome sequencing data for the different species. Defining which species possess an anthroponotic vs. zoonotic transmission cycle is critical if we are to limit the spread of disease between animals and humans. Likewise, it is unclear to what extent genetic hybridization impacts disease potential or the emergence of outbreak strains. The development of high resolution genetic markers and whole genome sequencing of different species should provide new insights into these knowledge gaps. The aim of this review is to outline currently available molecular epidemiology and genomics data for different species of Cryptosporidium.
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Affiliation(s)
- Asis Khan
- Laboratory of Parasitic Diseases, National Institutes of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
| | - Jahangheer S Shaik
- Laboratory of Parasitic Diseases, National Institutes of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Michael E Grigg
- Laboratory of Parasitic Diseases, National Institutes of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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Next Generation Sequencing uncovers within-host differences in the genetic diversity of Cryptosporidium gp60 subtypes. Int J Parasitol 2017; 47:601-607. [DOI: 10.1016/j.ijpara.2017.03.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Revised: 03/23/2017] [Accepted: 03/31/2017] [Indexed: 12/21/2022]
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Tibayrenc M, Ayala FJ. Is Predominant Clonal Evolution a Common Evolutionary Adaptation to Parasitism in Pathogenic Parasitic Protozoa, Fungi, Bacteria, and Viruses? ADVANCES IN PARASITOLOGY 2016; 97:243-325. [PMID: 28325372 DOI: 10.1016/bs.apar.2016.08.007] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
We propose that predominant clonal evolution (PCE) in microbial pathogens be defined as restrained recombination on an evolutionary scale, with genetic exchange scarce enough to not break the prevalent pattern of clonal population structure. The main features of PCE are (1) strong linkage disequilibrium, (2) the widespread occurrence of stable genetic clusters blurred by occasional bouts of genetic exchange ('near-clades'), (3) the existence of a "clonality threshold", beyond which recombination is efficiently countered by PCE, and near-clades irreversibly diverge. We hypothesize that the PCE features are not mainly due to natural selection but also chiefly originate from in-built genetic properties of pathogens. We show that the PCE model obtains even in microbes that have been considered as 'highly recombining', such as Neisseria meningitidis, and that some clonality features are observed even in Plasmodium, which has been long described as panmictic. Lastly, we provide evidence that PCE features are also observed in viruses, taking into account their extremely fast genetic turnover. The PCE model provides a convenient population genetic framework for any kind of micropathogen. It makes it possible to describe convenient units of analysis (clones and near-clades) for all applied studies. Due to PCE features, these units of analysis are stable in space and time, and clearly delimited. The PCE model opens up the possibility of revisiting the problem of species definition in these organisms. We hypothesize that PCE constitutes a major evolutionary strategy for protozoa, fungi, bacteria, and viruses to adapt to parasitism.
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Affiliation(s)
- M Tibayrenc
- Institut de Recherche pour le Développement, Montpellier, France
| | - F J Ayala
- University of California at Irvine, United States
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Ramo A, Monteagudo LV, Del Cacho E, Sánchez-Acedo C, Quílez J. Intra-Species Genetic Diversity and Clonal Structure of Cryptosporidium parvum in Sheep Farms in a Confined Geographical Area in Northeastern Spain. PLoS One 2016; 11:e0155336. [PMID: 27176718 PMCID: PMC4866762 DOI: 10.1371/journal.pone.0155336] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Accepted: 04/27/2016] [Indexed: 01/21/2023] Open
Abstract
A multilocus fragment typing approach including eleven variable-number tandem-repeat (VNTR) loci and the GP60 gene was used to investigate the intra-farm and intra-host genetic diversity of Cryptosporidium parvum in sheep farms in a confined area in northeastern Spain. Genomic DNA samples of 113 C. parvum isolates from diarrheic pre-weaned lambs collected in 49 meat-type sheep farms were analyzed. Loci exhibited various degrees of polymorphism, the finding of 7–9 alleles in the four most variable and discriminatory markers (ML2, Cgd6_5400, Cgd6_3940, and GP60) being remarkable. The combination of alleles at the twelve loci identified a total of 74 multilocus subtypes (MLTs) and provided a Hunter-Gaston discriminatory index of 0.988 (95% CI, 0.979−0.996). The finding that most MLTs (n = 64) were unique to individual farms evidenced that cryptosporidial infection is mainly transmitted within sheep flocks, with herd-to-herd transmission playing a secondary role. Limited intra- host variability was found, since only five isolates were genotypically mixed. In contrast, a significant intra-farm genetic diversity was seen, with the presence of multiple MLTs on more than a half of the farms (28/46), suggesting frequent mutations or genetic exchange through recombination. Comparison with a previous study in calves in northern Spain using the same 12-loci typing approach showed differences in the identity of major alleles at most loci, with a single MLT being shared between lambs and calves. Analysis of evolutionary descent by the algorithm eBURST indicated a high degree of genetic divergence, with over 41% MLTs appearing as singletons along with a high number of clonal complexes, most of them linking only two MLTs. Bayesian Structure analysis and F statistics also revealed the genetic remoteness of most C. parvum isolates and no ancestral population size was chosen. Linkage analysis evidenced a prevalent pattern of clonality within the parasite population.
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Affiliation(s)
- Ana Ramo
- Department of Animal Pathology, Faculty of Veterinary Sciences, University of Zaragoza, Zaragoza, Spain
| | - Luis V. Monteagudo
- Department of Anatomy, Embryology and Genetics, Faculty of Veterinary Sciences, University of Zaragoza, Zaragoza, Spain
| | - Emilio Del Cacho
- Department of Animal Pathology, Faculty of Veterinary Sciences, University of Zaragoza, Zaragoza, Spain
| | - Caridad Sánchez-Acedo
- Department of Animal Pathology, Faculty of Veterinary Sciences, University of Zaragoza, Zaragoza, Spain
| | - Joaquín Quílez
- Department of Animal Pathology, Faculty of Veterinary Sciences, University of Zaragoza, Zaragoza, Spain
- * E-mail:
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Cryptosporidium within-host genetic diversity: systematic bibliographical search and narrative overview. Int J Parasitol 2016; 46:465-71. [PMID: 27021167 DOI: 10.1016/j.ijpara.2016.03.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Revised: 02/29/2016] [Accepted: 03/06/2016] [Indexed: 11/21/2022]
Abstract
Knowledge of the within-host genetic diversity of a pathogen often has broad implications for disease management. Cryptosporidium protozoan parasites are among the most common causative agents of infectious diarrhoea. Current limitations of in vitro culture impose the use of uncultured isolates obtained directly from the hosts as operational units of Cryptosporidium genotyping. The validity of this practice is centred on the assumption of genetic homogeneity of the parasite within the host, and genetic studies often take little account of the within-host genetic diversity of Cryptosporidium. Yet, theory and experimental evidence contemplate genetic diversity of Cryptosporidium at the within-host scale, but this diversity is not easily identified by genotyping methods ill-suited for the resolution of DNA mixtures. We performed a systematic bibliographical search of the occurrence of within-host genetic diversity of Cryptosporidium parasites in epidemiological samples, between 2005 and 2015. Our results indicate that genetic diversity at the within-host scale, in the form of mixed species or intra-species diversity, has been identified in a large number (n=55) of epidemiological surveys of cryptosporidiosis in variable proportions, but has often been treated as a secondary finding and not analysed. As in malaria, there are indications that the scale of this diversity varies between geographical regions, perhaps depending on the prevailing transmission pathways. These results provide a significant knowledge base from which to draw alternative population genetic structure models, some of which are discussed in this paper.
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Ramo A, Quílez J, Monteagudo L, Del Cacho E, Sánchez-Acedo C. Intra-Species Diversity and Panmictic Structure of Cryptosporidium parvum Populations in Cattle Farms in Northern Spain. PLoS One 2016; 11:e0148811. [PMID: 26848837 PMCID: PMC4746124 DOI: 10.1371/journal.pone.0148811] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Accepted: 01/22/2016] [Indexed: 12/18/2022] Open
Abstract
The intra-herd and intra-host genetic variability of 123 Cryptosporidium parvum isolates was investigated using a multilocus fragment typing approach with eleven variable-number tandem-repeat (VNTR) loci and the GP60 gene. Isolates were collected from intensively farmed diarrheic pre-weaned calves originating from 31 dairy farms in three adjoining regions in northern Spain (País Vasco, Cantabria and Asturias). The multilocus tool demonstrated an acceptable typeability, with 104/123 samples amplifying at all twelve loci. The ML2, TP14, GP60 and the previously un-described minisatellite at locus cgd2_3850 were the most discriminatory markers, while others may be dismissed as monomorphic (MSB) or less informative (CP47, ML1 and the novel minisatellites at loci Cgd1_3670 and Cgd6_3940). The 12-satellite typing tool provided a Hunter-Gaston index (HGDI) of 0.987 (95% CI, 0.982-0.992), and differentiated a total of 70 multilocus subtypes (MLTs). The inclusion of only the four most discriminatory markers dramatically reduced the number of MLTs (n: 44) but hardly reduced the HGDI value. A total of 54 MLTs were distinctive for individual farms, indicating that cryptosporidiosis is an endemic condition on most cattle farms. However, a high rate of mixed infections was detected, suggesting frequent meiotic recombination. Namely, multiple MLTs were seen in most farms where several specimens were analyzed (90.5%), with up to 9 MLTs being found on one farm, and individual specimens with mixed populations being reported on 11/29 farms. Bayesian Structure analysis showed that over 35% of isolates had mixed ancestry and analysis of evolutionary descent using the eBURST algorithm detected a high rate (21.4%) of MLTs appearing as singletons, indicating a high degree of genetic divergence. Linkage analysis found evidence of linkage equilibrium and an overall panmictic structure within the C. parvum population in this discrete geographical area.
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Affiliation(s)
- Ana Ramo
- Department of Animal Pathology, Faculty of Veterinary Sciences, University of Zaragoza, Zaragoza, Spain
| | - Joaquín Quílez
- Department of Animal Pathology, Faculty of Veterinary Sciences, University of Zaragoza, Zaragoza, Spain
- * E-mail:
| | - Luis Monteagudo
- Department of Anatomy, Embriology and Genetics, Faculty of Veterinary Sciences, University of Zaragoza, Zaragoza, Spain
| | - Emilio Del Cacho
- Department of Animal Pathology, Faculty of Veterinary Sciences, University of Zaragoza, Zaragoza, Spain
| | - Caridad Sánchez-Acedo
- Department of Animal Pathology, Faculty of Veterinary Sciences, University of Zaragoza, Zaragoza, Spain
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Hotchkiss EJ, Gilray JA, Brennan ML, Christley RM, Morrison LJ, Jonsson NN, Innes EA, Katzer F. Development of a framework for genotyping bovine-derived Cryptosporidium parvum, using a multilocus fragment typing tool. Parasit Vectors 2015; 8:500. [PMID: 26427625 PMCID: PMC4591062 DOI: 10.1186/s13071-015-1107-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2014] [Accepted: 09/22/2015] [Indexed: 11/23/2022] Open
Abstract
Background There is a need for an integrated genotyping approach for C. parvum; no sufficiently discriminatory scheme to date has been fully validated or widely adopted by veterinary or public health researchers. Multilocus fragment typing (MLFT) can provide good differentiation and is relatively quick and cheap to perform. A MLFT tool was assessed in terms of its typeability, specificity, precision (repeatability and reproducibility), accuracy and ability to genotypically discriminate bovine-derived Cryptosporidium parvum. Methods With the aim of working towards a consensus, six markers were selected for inclusion based on their successful application in previous studies: MM5, MM18, MM19, TP14, MS1 and MS9. Alleles were assigned according to the fragment sizes of repeat regions amplified, as determined by capillary electrophoresis. In addition, a region of the GP60 gene was amplified and sequenced to determine gp60 subtype and this was added to the allelic profiles of the 6 markers to determine the multilocus genotype (MLG). The MLFT tool was applied to 140 C. parvum samples collected in two cross-sectional studies of UK calves, conducted in Cheshire in 2004 (principally dairy animals) and Aberdeenshire/Caithness in 2011 (beef animals). Results Typeability was 84 %. The primers did not amplify tested non-parvum species frequently detected in cattle. In terms of repeatability, within- and between-run fragment sizes showed little variability. Between laboratories, fragment sizes differed but allele calling was reproducible. The MLFT had good discriminatory ability (Simpson’s Index of Diversity, SID, was 0.92), compared to gp60 sequencing alone (SID 0.44). Some markers were more informative than others, with MS1 and MS9 proving monoallelic in tested samples. Conclusions Further inter-laboratory trials are now warranted with the inclusion of human-derived C. parvum samples, allowing progress towards an integrated, standardised typing scheme to enable source attribution and to determine the role of livestock in future outbreaks of human C. parvum.
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Affiliation(s)
- Emily J Hotchkiss
- Moredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik, Edinburgh, EH26 0PZ, UK.
| | - Janice A Gilray
- Moredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik, Edinburgh, EH26 0PZ, UK.
| | - Marnie L Brennan
- School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Loughborough, LE12 5RD, UK.
| | - Robert M Christley
- Institute of Infection and Global Health, University of Liverpool, NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Leahurst Campus CH64 7TE, Liverpool, L69 7BE, UK.
| | - Liam J Morrison
- Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK.
| | - Nicholas N Jonsson
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Bearsden Road, Glasgow, G61 1QH, UK.
| | - Elizabeth A Innes
- Moredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik, Edinburgh, EH26 0PZ, UK.
| | - Frank Katzer
- Moredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik, Edinburgh, EH26 0PZ, UK.
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Cacciò SM, de Waele V, Widmer G. Geographical segregation of Cryptosporidium parvum multilocus genotypes in Europe. INFECTION GENETICS AND EVOLUTION 2015; 31:245-9. [PMID: 25687913 DOI: 10.1016/j.meegid.2015.02.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Revised: 12/22/2014] [Accepted: 02/06/2015] [Indexed: 10/24/2022]
Abstract
Cryptosporidium parvum is a common enteric protozoan pathogen of humans and livestock. Multilocus genotyping based on simple sequence repeat polymorphisms has been used extensively to identify transmission cycles and to investigate the structure of C. parvum populations and of the related pathogen Cryptosporidiumhominis. Using such methods, the zoonotic transmission of C. parvum has been shown to be epidemiologically important. Because different genetic markers have been used in different surveys, the comparison of Cryptosporidium genotypes across different laboratories is often not feasible. Therefore, few comparisons of Cryptosporidium populations across wide geographical areas have been published and our understanding of the epidemiology of cryptosporidiosis is fragmented. Here we report on the genotypic analysis of a large collection of 692 C. parvum isolates originating primarily from cattle and other ruminants from Italy, Ireland and Scotland. Because the same genotypic markers were used in these surveys, it was possible to merge the data. We found significant geographical segregation and a correlation between genetic and geographic distance, consistent with a model of isolation by distance. The presence of strong LD and positive IA(S) values in the combined MLG dataset suggest departure from panmixia, with different population structures of the parasite prevailing in each country.
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Affiliation(s)
- Simone M Cacciò
- Istituto Superiore di Sanità, Department of Infectious, Parasitic and Immunomediated Diseases, Viale Regina Elena 299, Rome 00161, Italy.
| | - Valerie de Waele
- Institute of Tropical Medicine, Nationalestraat 155, 2000 Antwerpen, Belgium
| | - Giovanni Widmer
- Cummings School of Veterinary Medicine at Tufts University, Department of Infectious Disease and Global Health, North Grafton, MA 01536, United States
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18
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Cryptosporidiumspecies in humans and animals: current understanding and research needs. Parasitology 2014; 141:1667-85. [DOI: 10.1017/s0031182014001085] [Citation(s) in RCA: 402] [Impact Index Per Article: 40.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
SUMMARYCryptosporidiumis increasingly recognized as one of the major causes of moderate to severe diarrhoea in developing countries. With treatment options limited, control relies on knowledge of the biology and transmission of the members of the genus responsible for disease. Currently, 26 species are recognized as valid on the basis of morphological, biological and molecular data. Of the nearly 20Cryptosporidiumspecies and genotypes that have been reported in humans,Cryptosporidium hominisandCryptosporidium parvumare responsible for the majority of infections. Livestock, particularly cattle, are one of the most important reservoirs of zoonotic infections. Domesticated and wild animals can each be infected with severalCryptosporidiumspecies or genotypes that have only a narrow host range and therefore have no major public health significance. Recent advances in next-generation sequencing techniques will significantly improve our understanding of the taxonomy and transmission ofCryptosporidiumspecies, and the investigation of outbreaks and monitoring of emerging and virulent subtypes. Important research gaps remain including a lack of subtyping tools for manyCryptosporidiumspecies of public and veterinary health importance, and poor understanding of the genetic determinants of host specificity ofCryptosporidiumspecies and impact of climate change on the transmission ofCryptosporidium.
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Wang Y, Yang W, Cama V, Wang L, Cabrera L, Ortega Y, Bern C, Feng Y, Gilman R, Xiao L. Population genetics of Cryptosporidium meleagridis in humans and birds: evidence for cross-species transmission. Int J Parasitol 2014; 44:515-21. [DOI: 10.1016/j.ijpara.2014.03.003] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2014] [Revised: 03/19/2014] [Accepted: 03/20/2014] [Indexed: 11/17/2022]
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Tibayrenc M, Ayala FJ. Cryptosporidium,Giardia, Cryptococcus, Pneumocystis genetic variability: cryptic biological species or clonal near-clades? PLoS Pathog 2014; 10:e1003908. [PMID: 24722548 PMCID: PMC3983055 DOI: 10.1371/journal.ppat.1003908] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
An abundant literature dealing with the population genetics and taxonomy of Giardia duodenalis, Cryptosporidium spp., Pneumocystis spp., and Cryptococcus spp., pathogens of high medical and veterinary relevance, has been produced in recent years. We have analyzed these data in the light of new population genetic concepts dealing with predominant clonal evolution (PCE) recently proposed by us. In spite of the considerable phylogenetic diversity that exists among these pathogens, we have found striking similarities among them. The two main PCE features described by us, namely highly significant linkage disequilibrium and near-clading (stable phylogenetic clustering clouded by occasional recombination), are clearly observed in Cryptococcus and Giardia, and more limited indication of them is also present in Cryptosporidium and Pneumocystis. Moreover, in several cases, these features still obtain when the near-clades that subdivide the species are analyzed separately (“Russian doll pattern”). Lastly, several sets of data undermine the notion that certain microbes form clonal lineages simply owing to a lack of opportunity to outcross due to low transmission rates leading to lack of multiclonal infections (“starving sex hypothesis”). We propose that the divergent taxonomic and population genetic inferences advanced by various authors about these pathogens may not correspond to true evolutionary differences and could be, rather, the reflection of idiosyncratic practices among compartmentalized scientific communities. The PCE model provides an opportunity to revise the taxonomy and applied research dealing with these pathogens and others, such as viruses, bacteria, parasitic protozoa, and fungi. Micropathogen species definition is extremely difficult, since concepts applied to higher organisms (the biological species concept) are inadequate. In particular, the pathogens here surveyed have given rise to long-lasting controversies about their species status and that of the genotypes that subdivide them. The population genetic approach based on the predominant clonal evolution (PCE) concept proposed by us could bring simple solutions to these controversies, since it permits the description of clearly defined evolutionary entities (clonal multilocus genotypes and near-clades [incompletely isolated clades]) that could be the basis for species description, if the concerned specialists find it justified for applied research. The PCE model also provides a convenient framework for applied studies (molecular epidemiology, vaccine and drug design, clinical research) dealing with these pathogens and others.
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Affiliation(s)
- Michel Tibayrenc
- Maladies Infectieuses et Vecteurs Ecologie, Génétique, Evolution et Contrôle, MIVEGEC (IRD 224-CNRS 5290-UM1-UM2), IRD Center, BP 64501, Montpellier, France
- * E-mail:
| | - Francisco J. Ayala
- Department of Ecology and Evolutionary Biology, University of California, Irvine, California, United States of America
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Wang R, Zhang L, Axén C, Bjorkman C, Jian F, Amer S, Liu A, Feng Y, Li G, Lv C, Zhao Z, Qi M, Dong H, Wang H, Sun Y, Ning C, Xiao L. Cryptosporidium parvum IId family: clonal population and dispersal from Western Asia to other geographical regions. Sci Rep 2014; 4:4208. [PMID: 24572610 PMCID: PMC3936226 DOI: 10.1038/srep04208] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2013] [Accepted: 02/11/2014] [Indexed: 11/26/2022] Open
Abstract
In this study, 111 Cryptosporidium parvum IId isolates from several species of animals in China, Sweden, and Egypt were subtyped by multilocus sequence typing (MLST). One to eleven subtypes were detected at each of the 12 microsatellite, minisatellite, and single nucleotide polymorphism (SNP) loci, forming 25 MLST subtypes. Host-adaptation and significant geographical segregation were both observed in the MLST subtypes. A clonal population structure was seen in C. parvum IId isolates from China and Sweden. Three ancestral lineages and the same RPGR sequence were shared by these isolates examined. Therefore, the present genetic observations including the higher nucleotide diversity of C. parvum IId GP60 sequences in Western Asia, as well as the unique distribution of IId subtypes (almost exclusively found in Asia, Europe, and Egypt) and in combination with the domestication history of cattle, sheep, and goats, indicated that C. parvum IId subtypes were probably dispersed from Western Asia to other geographical regions. More population genetic structure studies involving various C. parvum subtype families using high-resolution tools are needed to better elucidate the origin and dissemination of C. parvum in the world.
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Affiliation(s)
- Rongjun Wang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Longxian Zhang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Charlotte Axén
- Department for Animal Health and Antimicrobial Strategies, Swedish National Veterinary Institute, Uppsala, Sweden
| | - Camilla Bjorkman
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Fuchun Jian
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Said Amer
- Department of Zoology, Faculty of Science, Kafr El sheikh University, Kafe El Sheikh, Egypt
| | - Aiqin Liu
- Department of Parasitology, Harbin Medical University, Harbin, China
| | - Yaoyu Feng
- School of Resource and Environmental Engineering, East China University of Science and Technology, Shanghai, China
| | - Guoquan Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Chaochao Lv
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Zifang Zhao
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Meng Qi
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Haiju Dong
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Helei Wang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Yanru Sun
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Changshen Ning
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Lihua Xiao
- Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USA
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Feng Y, Torres E, Li N, Wang L, Bowman D, Xiao L. Population genetic characterisation of dominant Cryptosporidium parvum subtype IIaA15G2R1. Int J Parasitol 2013; 43:1141-7. [DOI: 10.1016/j.ijpara.2013.09.002] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2013] [Revised: 09/09/2013] [Accepted: 09/10/2013] [Indexed: 10/26/2022]
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Jex AR, Koehler AV, Ansell BR, Baker L, Karunajeewa H, Gasser RB. Getting to the guts of the matter: The status and potential of ‘omics’ research of parasitic protists of the human gastrointestinal system. Int J Parasitol 2013; 43:971-82. [DOI: 10.1016/j.ijpara.2013.06.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2013] [Revised: 06/07/2013] [Accepted: 06/07/2013] [Indexed: 11/17/2022]
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