Infection Genetics and Evolution最新文献

{"title":"An integrated approach for genetic risk profiling of typhoid, tuberculosis, and cholera in local population of tehsil Haripur","authors":"Tahira Sher Afghan ,&nbsp;Sadiq Noor Khan ,&nbsp;Faryal Mehwish Awan ,&nbsp;Ayesha Obaid ,&nbsp;Rabea Basri ,&nbsp;Amin Ullah ,&nbsp;Saira Khan ,&nbsp;Anam Naz ,&nbsp;Kamran Ullah ,&nbsp;Abdul Jabbar","doi":"10.1016/j.meegid.2025.105756","DOIUrl":"10.1016/j.meegid.2025.105756","url":null,"abstract":"<div><div>Despite notable progress in public health throughout the 21st century, infectious diseases like tuberculosis, typhoid, and cholera remain serious threats to global health, particularly in high-risk regions. Understanding the genetic factors that influence susceptibility and resistance to these diseases is essential for developing more effective strategies for their prevention and treatment. This study investigates the genetic variations associated with these infectious diseases with a focus on regions where these diseases are most prevalent. The aim of this study is to identify genetic variants that may influence susceptibility to tuberculosis, typhoid, and cholera. A thorough analysis of genetic variants associated with susceptibility and resistance to tuberculosis, typhoid, and cholera was conducted. Using publicly available genetic data from various ethnic groups. The allele frequency of the prioritized variants was calculated to assess their distribution within the different populations, including Middle Eastern, Ashkenazi Jewish, European (Non-Finnish), Latino/Admixed American, South Asian, East Asian, European (Finnish), North Asian, Southeast Asian, African American, and Swedish populations. The variants of the <em>IL1β</em> gene exhibiting the highest allele frequencies in the South Asian population were identified and subsequently examined within the local population. Specifically, the variants rs1143627 and rs1143629, which demonstrate the highest allele frequencies and are associated with typhoid, tuberculosis, and cholera, were subjected to detailed analysis. To determine their distribution and potential impact on disease susceptibility. In the local population, statistical analysis of the available sample revealed allele frequencies of 0.1128 % for <em>IL1β</em> (rs1143627) and 0.18 % for <em>IL1β</em> (rs1143629). Furthermore, these findings revealed that certain genetic profiles may play a role in the population's overall response to infectious diseases such as tuberculosis, typhoid, and cholera. This research has the potential to guide future public health strategies for more effective management and prevention of these diseases.</div></div>","PeriodicalId":54986,"journal":{"name":"Infection Genetics and Evolution","volume":"131 ","pages":"Article 105756"},"PeriodicalIF":2.6,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study of genetic diversity of Echinococcus granulosus sensu stricto in France based on full cox1 gene","authors":"Peytavin de Garam Carine ,&nbsp;Franck Boué ,&nbsp;Jenny Knapp ,&nbsp;Yannick Blanchard ,&nbsp;Gérald Umhang","doi":"10.1016/j.meegid.2025.105757","DOIUrl":"10.1016/j.meegid.2025.105757","url":null,"abstract":"<div><div>Cystic echinococcosis (CE) is a worldwide zoonosis caused by <em>Echinococcus granulosus sensu lato</em> (<em>s.l.</em>) complex with <em>E. granulosus sensu stricto</em> (<em>s.s.</em>) the main species responsible of humans CE. This study highlights the genetic diversity of <em>E. granulosus s.s.</em> in France to clarify the parasite's circulation in livestock, interactions with wildlife, and distinguish autochthonous from imported cases of human CE. A total of 129 full <em>cox1</em> gene sequences were obtained: 101 from livestock, 12 from wildlife, and 16 from human CE patients operated in France. This study reveals a broad genetic diversity of <em>E. granulosus s.s.</em> in France and little differentiation between sheep and cattle parasite populations, or between geographic areas. The G3 genotype (67 %) was predominant, mainly in sheep from the Alps, a historical focus in Southeast France. Despite farms being less than 20 km apart, no common haplotype was found, suggesting separate infections sources, without excluding the potential role of transhumance in parasite transmission. Haplotypes shared by livestock and wolves remain insignificant in maintaining the life cycle given the low occurrence of infection in wolves. Concerning the 16 cases of human CE, full <em>cox1</em> haplotypes provide additional genetic argument supporting their status as mainly imported cases. Nevertheless, as autochthonous human cases have already been reported, further genetic characterization of <em>E. granulosus s.s.</em> in both humans and livestock in France is important to identify epidemiologic links and develop action plans to prevent and control this parasite.</div></div>","PeriodicalId":54986,"journal":{"name":"Infection Genetics and Evolution","volume":"131 ","pages":"Article 105757"},"PeriodicalIF":2.6,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143917409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pathogens and drug resistance or virulence genes from animals and surrounding environment in Shenzhen, 2023 using targeted next-generation sequencing","authors":"Dandan Niu ,&nbsp;Yankun Ke ,&nbsp;Qiuying Lv ,&nbsp;Zhen Zhang ,&nbsp;Tengyingzi Liu ,&nbsp;Zhongyao Xu ,&nbsp;Tong Li ,&nbsp;Yingluan Zhang ,&nbsp;Renli Zhang ,&nbsp;Xiaomin Zhang ,&nbsp;Shunping Cai ,&nbsp;Xiaonan You ,&nbsp;Yuqing Chen ,&nbsp;Hanguang Wu ,&nbsp;Yingxin Li ,&nbsp;Chan Yin ,&nbsp;Danzhu Wang ,&nbsp;Xinhua Duan ,&nbsp;Yongchao Guo ,&nbsp;Rongqi Liu ,&nbsp;Tiejian Feng","doi":"10.1016/j.meegid.2025.105755","DOIUrl":"10.1016/j.meegid.2025.105755","url":null,"abstract":"<div><div>Identifying the pathogen spectrum of animals and surrounding environment is essential for the prevention and control of zoonotic diseases. From February 1 to June 30, 2023, we randomly collected respiratory and intestinal samples from animals and swab samples from surrounding environment in 33 units in Shenzhen, and carried out pathogen/gene screening using pathogen targeted next-generation sequencing technology. A total of 2000 samples were collected and mixed to obtain 415 samples for detection. The detection rate of respiratory pathogens (76.9 %, χ2 = 15.892, <em>P</em> &lt; 0.001), drug resistance genes (59.0 %, χ2 = 52.888, <em>P</em> &lt; 0.001), the co-detection proportion of intestinal pathogens (87.0 %, χ2 = 9.605, <em>P</em> = 0.002) in livestock and poultry, and drug resistance genes in surrounding environment (30.5 %, χ2 = 14.932, <em>P</em> &lt; 0.001) were higher than dogs and cats, and wild animals. <em>Escherichia coli</em> (37.3 %, 30.5 %) and β-lactamase-resistance NDM genes (31.3 %, 27.1 %) were the main respiratory pathogens in livestock and poultry, and surrounding environment. The detection rate of <em>Pasteurella multocide</em> was 25.0 % in dogs and cats. The detection rates of intestinal pathogens <em>Campylobacter coli</em> and <em>Clostridium perfringens</em> in livestock and pourtry were 23.9 % and 17.9 %, and <em>Clostridium perfringens</em> in dogs and cats and wild animal was 18.2 % and 15.7 %. The total detection rate of intestinal pathogens of wild animals in wildlife parks (44.0 %) and indoor pet parks (38.9 %) was higher than that in animal nature reserves (χ2 = 15.686, <em>P</em> = 0.001). The respiratory/intestinal pathogens in animals and surrounding environment was common in Shenzhen. The drug resistance genes in livestock and poultry, and intestinal pathogens of wild animals in indoor pet parks needed more attention.</div></div>","PeriodicalId":54986,"journal":{"name":"Infection Genetics and Evolution","volume":"131 ","pages":"Article 105755"},"PeriodicalIF":2.6,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Taxonomic reassessment of genomes from a divergent population of Streptococcus suis by average nucleotide identity analysis","authors":"Wenbo Luo ,&nbsp;Xueli Yi ,&nbsp;Xiyan Zhang ,&nbsp;Chaoyuan Yuan ,&nbsp;Wenfei Wei ,&nbsp;Xuezhen Li ,&nbsp;Danna Pu ,&nbsp;Jing Yang ,&nbsp;Han Zheng","doi":"10.1016/j.meegid.2025.105753","DOIUrl":"10.1016/j.meegid.2025.105753","url":null,"abstract":"<div><div><em>Streptococcus</em> spp., including the emerging zoonotic pathogen <em>S. suis</em>, represent a dominant bacterial population in the porcine nasopharynx. Species identification within the <em>Streptococcus</em> genus remains challenging and frequently ambiguous, resulting in indistinct species boundaries. By employing comparative genomic analyses, a previous study categorized <em>S. suis</em> into a central population and divergent lineages, based on the single nucleotide polymorphisms (SNPs) within core genes and the presence or absence of accessory genes, indicating evolutionary divergence. The divergent lineages were designated as the “out population” in this study for clarity. The <em>16S rRNA</em> gene sequences of seven putative novel <em>Streptococcus</em> strains isolated from the throats of healthy pigs in China exhibited 100 % similarity to that of the 684_17B strain of <em>S. suis</em>, which clustered in the out population. This study established a threshold average nucleotide identity (ANI) value of 93.17 % for the identification of authentic <em>S. suis</em>. All the 645 genomes from the out population fell below this threshold, indicating that they did not belong to <em>S. suis</em>. Further taxonomic assessment of the 645 genomes from the out population revealed 18 clusters based on pairwise ANI comparisons, using a 92.33 % threshold, determined by pairwise ANI comparisons among the 2422 genomes from the central population of <em>S. suis</em>. These clusters were identified as 12 novel <em>Streptococcus</em> spp. (<em>Streptococcus</em> sp. nov-1–12) and six known <em>Streptococcus</em> spp. by ANI comparisons with type or reference genomes of 98 known <em>Streptococcus</em> spp. The study provides a useful framework for the identification of authentic <em>S. suis</em> and the determination of <em>Streptococcus</em> sp. nov.</div></div>","PeriodicalId":54986,"journal":{"name":"Infection Genetics and Evolution","volume":"131 ","pages":"Article 105753"},"PeriodicalIF":2.6,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Plasmodium falciparum genetic diversity and multiplicity of infection in northern and southern Ghana assessed by amplicon sequencing","authors":"Xiaoyun Wei ,&nbsp;Awtum Brashear ,&nbsp;Faiza Siddiqui ,&nbsp;Georgina Agyekum ,&nbsp;Amuza Lucky ,&nbsp;Anongruk Chim-Ong ,&nbsp;Yaw Afrane ,&nbsp;Jun Miao ,&nbsp;Chengqi Wang ,&nbsp;Linda Amoah ,&nbsp;Liwang Cui","doi":"10.1016/j.meegid.2025.105754","DOIUrl":"10.1016/j.meegid.2025.105754","url":null,"abstract":"<div><div>Malaria is a significant public health challenge in Ghana, with <em>Plasmodium falciparum</em> accounting for 80–90 % of infections. This study aimed to determine whether different climatic conditions, demographics, transmission patterns, and control practices in northern and southern Ghana result in differences in the genetic diversity, population structure, and evolutionary dynamics of <em>P. falciparum</em>. A total of 354 clinical samples collected in 2018 and 2021 were analyzed using the amplicon sequencing approach, targeting the <em>CSP</em>, <em>AMA1</em>, <em>SERA2</em>, and <em>TRAP</em> genes. Parasite populations from both northern and southern Ghana exhibited high haplotype diversity (Hd = 0.93–0.98). More than 70 % of the patient samples contained multiclonal infections, and the multiplicity of infection was significantly higher in northern (2.91) than in southern Ghana (2.42). Despite such a difference, extensive haplotype sharing was observed. The haplotype network and phylogenetic analyses highlighted substantial genetic connectivity among the parasite populations, likely driven by multiple factors, including human movement and shared vectors. Predominant haplotypes were consistent across regions and years, reflecting a stable pool of core haplotypes, which was not significantly impacted by contemporary control measures. In conclusion, this study underscored the high genetic diversity and connectivity of <em>P. falciparum</em> populations in Ghana despite different transmission ecology and the implementation of divergent control measures.</div></div>","PeriodicalId":54986,"journal":{"name":"Infection Genetics and Evolution","volume":"131 ","pages":"Article 105754"},"PeriodicalIF":2.6,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143873220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Endemic transmission of a Mycobacterium tuberculosis L2.2.M3 sublineage of the L2 lineage within Colon, Panama: A prospective study","authors":"Fermín Acosta ,&nbsp;Daniela Candanedo ,&nbsp;Priya Patel ,&nbsp;Alejandro Llanes ,&nbsp;Johanna Elizabeth Ku ,&nbsp;Kharla Salazar ,&nbsp;Mitchelle Morán ,&nbsp;Dilcia Sambrano ,&nbsp;Julio Jurado ,&nbsp;Isolina Martínez ,&nbsp;Lizbeth Garibaldi ,&nbsp;Mariela Delgado ,&nbsp;Laura Solís ,&nbsp;Odemaris Luque ,&nbsp;Kesia Da Silva ,&nbsp;Jason Andrews ,&nbsp;Amador Goodridge","doi":"10.1016/j.meegid.2025.105749","DOIUrl":"10.1016/j.meegid.2025.105749","url":null,"abstract":"<div><div><em>Mycobacterium tuberculosis</em> lineage 2 (L2) remains a globally significant lineage associated with increased drug resistance and rapid transmission. The L2 lineage exhibits a hotspot for genetic diversity and evolution in Panama, requiring an in-depth analysis. We conducted a prospective analysis of 274 <em>Mycobacterium tuberculosis</em> L2 isolates from Colon City between January 2021 and October 2023. Drug resistance was determined using GeneXpert and MTBDRplus-Genotype assays, strain lineage was determined by strain-specific PCR (ASO-PCR), and whole-genome sequencing was conducted for phylogenetic analysis. Sequencing data were analyzed using the mtb-call2 pipeline and TB-gen tools to predict drug resistance and sublineage, respectively. Genome-wide single-nucleotide polymorphisms (SNPs) were used for phylogenetic and evolutionary analyses. ASO-PCR results identified all 31.7 % (86/271) isolates as Modern L2.2. WGS analysis of 66 strains confirmed all isolates belonged to the L2.2.1 sublineage. Sixty-four strains were analyzed in depth, with 96.9 % (62/64) classified as pan-susceptible and 3.1 % (2/64) as rifampicin/pyrazinamide-resistant. The sublineage analysis based on SNPs using the TB-gen tool identified a SNP at position 1219683G &gt; A, which genotyped all 64 strains as L2.2.M3 sublineage. Phylogenetic analysis revealed a correlation with geographical distribution compared to other Latin American L2 isolates. Transmission clusters (≤12 SNPs) were identified and used to determine recent transmission events or TB transmission clusters. These analyses also confirmed a relatively low evolutionary rate within Panama L2 isolates and a highly conserved common ancestor shared with L2 isolates from Peru, Colombia, and Guatemala. These findings suggest endemic transmission of the <em>Mycobacterium tuberculosis</em> L2.2.M3 sublineage in Colon, Panama. We recommend combining genomic information with epidemiological data to accurately track and identify the source hotspot for the L2.2.M3 sublineage and focus control measures.</div></div>","PeriodicalId":54986,"journal":{"name":"Infection Genetics and Evolution","volume":"131 ","pages":"Article 105749"},"PeriodicalIF":2.6,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143873221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Discovery of tobacco necrosis virus A in a diseased Colombian Cannabis sativa plant","authors":"Juliana Lopez-Jimenez ,&nbsp;Herman D. Palacio-Torres ,&nbsp;Juan F. Alzate","doi":"10.1016/j.meegid.2025.105752","DOIUrl":"10.1016/j.meegid.2025.105752","url":null,"abstract":"<div><div>Plant viral infections pose a significant threat to global crop productivity. Despite their profound impact on agriculture, plant viruses have been relatively understudied, primarily due to technological limitations associated with classical molecular methods. However, the advent of RNA Next-Generation Sequencing (NGS) RNA-seq analysis has revolutionized virus characterization in environmental settings, overcoming previous limitations and providing a powerful tool for studying plant viruses.</div><div>In an RNA-seq experiment conducted on a diseased Colombian <em>Cannabis sativa</em> hemp plant, we identified a linear positive-sense single-stranded RNA genome belonging to Tobacco Necrosis Virus A (TNV-A), a common cause of necrotic lesions in plants such as tobacco and tulipa. The affected <em>Cannabis sativa</em> hemp plant exhibited severe symptoms, including alterations in pigmentation, leaf morphology such as chlorosis, necrotic tissue formation, and surface wear on the leaves. The complete genome sequence of the <em>Cannabis sativa</em> TNV-A was 3656 nucleotides long, containing five putative ORFs, and was classified in the family <em>Tombusviridae</em>, genus <em>Alphanecrovirus</em>, and belonging to the Necro-like clade based on RdRp protein phylogenetic analysis. Our analysis revealed a well-conserved RdRp protein among the Alphanecroviruses, with 89 % of the amino acid residues in the peptide being entirely conserved. In contrast, the coat protein exhibited significantly higher variability, with only 49.3 % of the residues being 100 % conserved. Regarding the viral genome expression of <em>Cannabis sativa</em> TNV-A, we observed that the virus was highly abundant in the leaves of the diseased plant, ranking among the topmost abundant transcripts, occupying the percentile position of 3 %. Overall, our study generated the first reference genome of TNV-A virus in the tropical region and reported the first case of this virus infecting a <em>Cannabis sativa</em> plant.</div></div>","PeriodicalId":54986,"journal":{"name":"Infection Genetics and Evolution","volume":"131 ","pages":"Article 105752"},"PeriodicalIF":2.6,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting host-pathogen interactions with machine learning algorithms: A scoping review","authors":"Rasool Sahragard ,&nbsp;Masoud Arabfard ,&nbsp;Ali Najafi","doi":"10.1016/j.meegid.2025.105751","DOIUrl":"10.1016/j.meegid.2025.105751","url":null,"abstract":"<div><h3>Background</h3><div>Diseases caused by pathogenic microorganisms pose a persistent global health challenge. Pathogens exploit host mechanisms through intricate molecular interactions. Understanding these host-pathogen interactions (HPIs), particularly protein-protein interactions (PPIs), is crucial for developing therapeutic strategies. While experimental approaches are essential, they are often labor-intensive and costly. Researchers have been able to predict HPIs more efficiently due to recent advances in artificial intelligence and machine learning. However, existing reviews lack a systematic evaluation of different machine learning methodologies and their effectiveness.</div></div><div><h3>Methods</h3><div>This scoping review critically examines recent studies on machine learning-based Host-Pathogen Interaction (HPI) prediction, categorizing them by host and pathogen types, machine learning algorithms, and key evaluation metrics. The methodology is based on the study beginning with a preliminary search in reputable using key phrases related to host-pathogen interactions from 2019 to 2024. This process yielded 46 relevant articles, from which 30 were selected for review after evaluating titles and abstracts.</div></div><div><h3>Results</h3><div>Our findings indicate that tree-based algorithms, particularly Random Forest and Gradient Boosting, are the most prevalent in Host-Pathogen Interaction (HPI) prediction. The filter articles were categorized by host and pathogen type and further subdivided into four subcategories based on the prediction type and machine learning algorithms: classic, tree-based, vector-based, and neural network algorithms. Convolutional and recurrent neural networks are among the deep learning models that demonstrate promising accuracy, but they require a lot of labeled data for effective training. Additionally, the analysis uncovers significant gaps in dataset standardization and model interpretability, which pose challenges to the broader applicability of these predictive models.</div></div><div><h3>Conclusion</h3><div>In this review, we emphasize the potential of machine learning in HPI prediction and highlight the important challenges that must be addressed to improve predictive accuracy. Unlike previous reviews, our study systematically compares different computational approaches, offering a roadmap for future research. The findings emphasize the importance of dataset quality, feature selection, and model transparency in advancing AI-driven pathogen research.</div></div>","PeriodicalId":54986,"journal":{"name":"Infection Genetics and Evolution","volume":"130 ","pages":"Article 105751"},"PeriodicalIF":2.6,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"First detection and molecular characterization of Mycoplasma species in camels, cattle, buffalo, and their associated ticks from southern Egypt","authors":"Ahmed M. Soliman ,&nbsp;Hassan Y.A.H. Mahmoud ,&nbsp;Moaz M. Amer ,&nbsp;Samah Mohamed ,&nbsp;Tatsuro Hifumi ,&nbsp;Abdelrahman A. Rady ,&nbsp;Alsagher O. Ali ,&nbsp;Walaa F.A. Emeish ,&nbsp;Tetsuya Tanaka","doi":"10.1016/j.meegid.2025.105750","DOIUrl":"10.1016/j.meegid.2025.105750","url":null,"abstract":"<div><div><em>Mycoplasma</em> species are wall-less bacteria that infect multiple mammalian orders, including livestock, and are associated with economically significant diseases. In Egypt, molecular data on the presence and diversity of <em>Mycoplasma</em> spp. in camels, cattle, buffalo, and their associated ticks remain limited, despite their potential impact on livestock health and productivity. This study aimed to detect and genetically characterize <em>Mycoplasma</em> spp. in cattle, buffalo, camels, and their associated ticks in southern Egypt. A total of 571 samples (384 ticks, 50 buffalo, 68 cattle, and 69 camels) were screened using PCR targeting the 16S rRNA gene, followed by phylogenetic analysis of representative amplicons. <em>Hyalomma dromedarii</em>, <em>Hyalomma marginatum</em>, and <em>Rhipicephalus annulatus</em> were the tick species collected. Overall, <em>Mycoplasma</em> DNA was detected in 10.3 % of the samples. <em>Mycoplasma ovis</em>-like was identified in 2.9 % of camel blood, 9.4 % of <em>H. dromedarii</em>, 75 % of <em>H. marginatum</em>, and 13.8 % of <em>R. annulatus</em> ticks. <em>Candidatus</em> Mycoplasma haematovis was found in 0.4 % of <em>H. dromedarii</em>, and <em>Mycoplasma wenyonii</em>-like in 13.2 % of cattle and 4 % of buffalo blood. Remarkably, this is the first global detection of <em>M. ovis</em> in camel blood, as well as the detection of <em>M. ovis</em>-like and Ca. M. haematovis in ticks circulating on camels. This study also reports the first detection of <em>M. wenyonii</em>-like in bovines in Egypt and documents <em>M. ovis</em>-like in three tick species parasitizing cattle. The genetic similarities of <em>Mycoplasma</em> sequences from ticks and livestock suggest that these arthropods may serve as potential vectors. These findings highlight the need for additional studies on the zoonotic potential, infectivity, and vector competence of <em>Mycoplasma</em> spp. in Egypt.</div></div>","PeriodicalId":54986,"journal":{"name":"Infection Genetics and Evolution","volume":"130 ","pages":"Article 105750"},"PeriodicalIF":2.6,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genetic stability of Mpox virus during in-vitro serial passaging: Insights from mutational analysis","authors":"J. Khurana ,&nbsp;Y. Joshi ,&nbsp;S. Yadav,&nbsp;P.D. Yadav,&nbsp;A.M. Shete","doi":"10.1016/j.meegid.2025.105748","DOIUrl":"10.1016/j.meegid.2025.105748","url":null,"abstract":"","PeriodicalId":54986,"journal":{"name":"Infection Genetics and Evolution","volume":"130 ","pages":"Article 105748"},"PeriodicalIF":2.6,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}