PARVA, 1-372aa, Recombinant Protein
- Known as:
- PARVA, 1-372aa, Recombinant Protein
- Catalog number:
- GWB-P0274A
- Product Quantity:
- 100ug
- Category:
- -
- Supplier:
- GenWay
- Gene target:
- PARVA 1-372aa Recombinant Protein
Related genes to: PARVA, 1-372aa, Recombinant Protein
- Gene:
- PARVA NIH gene
- Name:
- parvin alpha
- Previous symbol:
- MXRA2
- Synonyms:
- FLJ12254, FLJ10793
- Chromosome:
- 11p15.3
- Locus Type:
- gene with protein product
- Date approved:
- 2001-04-26
- Date modifiied:
- 2018-03-02
Related products to: PARVA, 1-372aa, Recombinant Protein
Related articles to: PARVA, 1-372aa, Recombinant Protein
- Environmental changes and human activities such as deforestation and expansion of agricultural land are increasing tick-borne diseases including Anaplasmosis, Babesiosis, Ehrlichiosis, and Theileriosis. These diseases, which affect animals, can be transmitted to humans through tick bites. Kiambu County's warm, wet climate provides an environment conducive to tick breeding and development. This study investigated the circulation and genetic diversity of Theileria parva and Anaplasma spp. in tick samples collected from Kiambu County, Kenya. Ticks were collected from cattle, goats, and sheep using animal grooming methods and morphologically identified and organized into 129 pools. Total DNA was extracted from tick pools using the sodium dodecyl sulfate extraction method. The 18S rRNA hypervariable region was amplified for T. parva detection, and the 16S rRNA gene was used for Anaplasma spp. detection. A total of 716 ticks were collected, with Rhipicephalus evertsi evertsi (n = 585, 81.7%) being the most abundant species. Molecular analysis indicated the presence of T. parva in n = 8 pools of Rh. e. evertsi. Anaplasma species was detected in three pools of Rh. e. evertsi, one pool of A. variegatum, and one pool of H. truncatum. Phylogenetic analysis revealed that eight T. parva samples clustered closely with isolates from Uganda and Mexico, suggesting potential historical or ecological links between regional isolates and international strains, although direct transmission cannot be confirmed. For Anaplasma spp., phylogenetic analysis identified Anaplasma ovis and Anaplasma bovis in ticks collected from cattle and sheep, including Rh. e. evertsi, A. Variegatum, and H. truncatum, with single nucleotide polymorphisms (SNPs) identified within the Anaplasma sequences. The findings emphasize the importance of continued molecular surveillance of tick-borne pathogens, characterization, and the development of targeted tick control measures to mitigate the impact of tick-borne diseases in livestock. - Source: PubMed
Gichuki PeterWasonga CarolineAdhiambo ChristineLutomiah Joel - Climate change may exacerbate biological invasion by expanding the distribution of invasive species. (Temminck & Schlegel, 1846) is a prevalent invasive fish species. It has posed significant threats to biodiversity and ecosystems in over 40 countries across Asia, Europe, and Africa. To avoid or mitigate its threats, it is necessary to evaluate its invasion risk. Species distribution models (SDMs), using occurrence data and bioclimatic factors, serve as critical tools for evaluating biological invasion risks. ANN, FDA, GAM, GBM, MARS, and RF are prominent individual algorithms. Ensemble models are generally considered better than individual algorithms as they can effectively reduce uncertainties. However, no study has yet used ensemble models to forecast the global distribution of under future climate change. Therefore, the aim of this study was to use ensemble SDMs, combined by above-mentioned six individual algorithms, to predict the global potential suitable habitats and influencing factors of under current and future climate change. Global occurrence data for were collected from online biodiversity platforms and literature databases. Bioclimatic variables were from WorldClim and ENVIREM. The results showed as follows: (1) The ensemble model demonstrated excellent performance with an AUC of 0.993; (2) The two bioclimatic factors exerting the most significant influence on distribution were the maximum temperature of the coldest month and isothermality, contributing 51.362% and 18.279% respectively; (3) The distribution of in the current period, as generated by the ensemble model, revealed that the primary invasion areas are concentrated at latitude 22°-55° N; (4) Future projections under various climate scenarios indicated an overall range expansion, with high-latitude or high-altitude regions becoming increasingly favorable. These findings suggest that the future global expansion trend of should not be ignored and effective management policies for its invasion should be provided. - Source: PubMed
Publication date: 2026/05/05
Li HaoSun WenqianXiong WenJu TaoWang WenhuiTang LiWang ZhengxiangGao XinPan LeiDong XianghongPeng Yu - Tick-borne diseases (TBDs) pose a major threat to human and animal health worldwide; however, the geographic distribution of tick species and associated pathogens in Kenya and cross-border districts is limited. This scoping review synthesised published literature to map the reported distribution of tick species, pathogens, and host associations in Kenya and cross-border districts. A total of 977 records were identified, of which 142 met the inclusion criteria. Extracted data were analysed to characterise geographic distribution patterns across counties in Kenya and bordering districts. Thirty-two tick species and nine pathogens were reported across 12 host categories, including livestock, domestic animals, wildlife, and humans. Reports were geographically concentrated in Laikipia County, while several regions in Eastern Kenya showed limited published data, indicating potential surveillance and research gaps. The most frequently reported species included Amblyomma variegatum and Rhipicephalus appendiculatus, associated with pathogens such as Theileria parva, Ehrlichia spp., and Rickettsia africae. The findings highlight uneven spatial reporting and underscore the need for expanded surveillance and standardised diagnostic approaches, particularly in underrepresented regions. This synthesis provides a consolidated spatial overview to inform future research priorities and tick-borne disease control strategies in Kenya and in cross-border areas. - Source: PubMed
Publication date: 2026/04/15
Kioko CarolineGithaka NaftalyCheng YanchaoBlanford Justine I - High pathogenicity avian influenza (HPAI) devastates the poultry industry worldwide due to its rapid spread, severe pathology, and high mortality in chickens. Why some infected birds survive while others die remains poorly understood. Here, we tracked early host transcriptomic responses (8-72 hours post-inoculation [hpi]) in the nasal turbinates and lungs of chickens infected with H7N1 HPAI virus. Chickens were classified as resilient or susceptible based on clinical signs, histopathological lesions, viral antigen detection, and viral shedding. Resilient chickens showed a distinct early transcriptional profile characterized by differential expression of genes related to MAPK signaling (CAV1), cell adhesion (ITGB1, PARVA), immune response (RELA), and antiviral response pathways (BID, CASP1, RAB2B). Critically, transcriptomic profiles of resilient birds differed markedly not only from susceptible birds but also from controls, consistent with viral exposure and an active host response. Our results suggest that the nasal mucosa is an important site in which early host responses are associated with divergent disease outcomes following HPAI viral infection. - Source: PubMed
Publication date: 2026/03/20
Valdez-May María JNofrarías MiquelPina-Pedrero SoniaDabad MarcValle RosaPérez MartaEsteve-Codina AnnaArgilaguet JordiMajó NatàliaBertran Kateri - Ticks transmit a wide range of protozoan, bacterial, and viral pathogens to humans and animals globally. However, data on ticks infesting domestic ruminants and the pathogens they carry are scarce in Malawi. In this study, we examined ticks collected from domestic ruminants and screened them for selected veterinary and medically important protozoan and bacterial pathogens. A total of 964 ticks were collected from 202 cattle, 63 goats, and 16 sheep across eleven districts in Malawi. Ticks were morphologically identified to species level using taxonomical keys, with molecular confirmation by PCR amplification and sequencing of the 12S ribosomal RNA (12S rDNA) and cytochrome c oxidase subunit I (COI) genes. Tick DNA was further screened for tick-borne pathogens using species-specific PCR assays. Identified tick species included Rhipicephalus microplus (30.5%), Rhipicephalus appendiculatus (23.3%), Rhipicephalus decoloratus (13.2%), Rhipicephalus evertsi (9.8%), Hyalomma rufipes (7.5%), Amblyomma variegatum (6.3%), Rhipicephalus sanguineus sensu lato (tropical lineage) (3.6%), Hyalomma truncatum (2.8%), Rhipicephalus simus (2.0%), Rhipicephalus pravus (0.6%), and Rhipicephalus annulatus (0.4%). Overall, 37.0% of ticks carried at least one tick-borne pathogen, with Theileria parva being the most prevalent (34.7%), followed by Anaplasma marginale (17.4%), Babesia bigemina (14.9%), Anaplasma ovis (11.2%), Ehrlichia ruminantium (9.2%), Theileria mutans (8.4%), Babesia bovis (2.2%), and Anaplasma bovis (2.0%). This study provides the first molecular identification of ticks infesting domestic ruminants in Malawi and documents associated tick-borne pathogens. Notably, Rhipicephalus appendiculatus was identified for the first time in southern Malawi, refining current understanding of East Coast fever epidemiology and highlighting the need for updated surveillance approaches. - Source: PubMed
Publication date: 2026/04/17
Chikufenji BonifaceMohanta Uday KumarChatanga ElishaStopher DallionCeylan OnurUmemiya-Shirafuji RikaThekisoe OrielNkhata MadalitsoSugi TatsukiYamagishi JunyaXuan XuenanHayashida Kyoko