Molecular and Epidemiological Investigation of Cryptosporidium Infection in Goat Population from Bouira Province, Algeria

Cryptosporidiosis is a gastrointestinal disease affecting terrestrial and aquatic vertebrates worldwide. This study investigated molecularly and microscopically the prevalence and the diversity of <i>Cryptosporidium</i> spp. in goats across the Bouira communes, Algeria. A total of 559 fecal samples were collected from 70 farms, representing 16.6% of the regional goat population. Samples were analyzed using microscopy (modified Ziehl-Neelsen staining) and molecular methods (i.e., qPCR and nested PCR targeting the 18S rRNA gene, followed by sequencing). Microscopy detected <i>Cryptosporidium</i> in 6.1% of samples, while qPCR revealed a significantly higher prevalence of 13.6% (<i>p</i> < 0.00001), confirming the superior sensitivity of molecular diagnostics. Spatial analysis identified significant clustering (Moran's <i>I</i> = 0.330, <i>p</i> = 0.0003), with communes-level prevalence ranging from 6.7% to 45.7%. Infection rates correlated positively with humidity and rainfall but negatively with temperature. Phylogenetic analysis confirmed <i>Cryptosporidium xiaoi</i> as the sole species circulating, showing 100% genetic similarity to global caprine isolates. Despite <i>C. xiaoi</i>'s host adaptation, a GenBank review highlighted six other zoonotic species infecting goats worldwide, underscoring potential cross-species transmission risks. The study emphasizes the need for PCR-based surveillance to assess true prevalence and zoonotic threats, while climatic findings support targeted interventions in high-risk areas.

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Journal
Pathogens
Published
2025-06-18
DOI
https://doi.org/10.3390/pathogens14060597
Citations
1
Primary Topic
Parasitic Infections and Diagnostics
Type
article
Field-Weighted Citation Impact
2.05
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article

Molecular and Epidemiological Investigation of Cryptosporidium Infection in Goat Population from Bouira Province, Algeria

Samia Bedjaoui, Bernard Davoust, Djamel Baroudi, Younes Laidoudi et al.
1 citations
Pathogens
Parasitic Infections and Diagnostics
2.05
article

Molecular and Epidemiological Investigation of Cryptosporidium Infection in Goat Population from Bouira Province, Algeria

Samia Bedjaoui, Bernard Davoust, Djamel Baroudi, Younes Laidoudi, Karim Tarik Adjou
article en
1 citations

Abstract

Cryptosporidiosis is a gastrointestinal disease affecting terrestrial and aquatic vertebrates worldwide. This study investigated molecularly and microscopically the prevalence and the diversity of <i>Cryptosporidium</i> spp. in goats across the Bouira communes, Algeria. A total of 559 fecal samples were collected from 70 farms, representing 16.6% of the regional goat population. Samples were analyzed using microscopy (modified Ziehl-Neelsen staining) and molecular methods (i.e., qPCR and nested PCR targeting the 18S rRNA gene, followed by sequencing). Microscopy detected <i>Cryptosporidium</i> in 6.1% of samples, while qPCR revealed a significantly higher prevalence of 13.6% (<i>p</i> < 0.00001), confirming the superior sensitivity of molecular diagnostics. Spatial analysis identified significant clustering (Moran's <i>I</i> = 0.330, <i>p</i> = 0.0003), with communes-level prevalence ranging from 6.7% to 45.7%. Infection rates correlated positively with humidity and rainfall but negatively with temperature. Phylogenetic analysis confirmed <i>Cryptosporidium xiaoi</i> as the sole species circulating, showing 100% genetic similarity to global caprine isolates. Despite <i>C. xiaoi</i>'s host adaptation, a GenBank review highlighted six other zoonotic species infecting goats worldwide, underscoring potential cross-species transmission risks. The study emphasizes the need for PCR-based surveillance to assess true prevalence and zoonotic threats, while climatic findings support targeted interventions in high-risk areas.

PathogensVol. 14(6)
University Frères Mentouri Constantine 1 (DZ), École Nationale Vétérinaire d'Alfort (FR), Aix-Marseille Université (FR), Higher National Veterinary School (DZ), Méditerranée Infection Foundation (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
Openalex Percentile: Top 16%
Parasitic Infections and Diagnostics
2.05
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