Mouse Parva Antibody (N-term) Blocking Peptide
- Known as:
- Mouse Parva Antibody (N-terminus) Blocking Peptide
- Catalog number:
- BP18689a
- Product Quantity:
- 2
- Category:
- -
- Supplier:
- Abgen
- Gene target:
- Mouse Parva Antibody (N-term) Blocking Peptide
Related genes to: Mouse Parva Antibody (N-term) Blocking Peptide
- 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: Mouse Parva Antibody (N-term) Blocking Peptide
Related articles to: Mouse Parva Antibody (N-term) Blocking Peptide
- 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 - Four Gram-stain-positive, catalase-negative, oxidase-negative, strictly anaerobic, non-spore-forming, non-motile, coccoid bacteria (G1425/G1967 and G1604/G1641) were isolated from the pharyngeal swabs of coal miners in Shanxi Province of China. Phylogenetic analysis of the 16S rRNA gene and 194 core genes revealed that these 4 strains belong to the genus . These strains were most closely related to ATCC 33270 and S3374. Average nucleotide identity (84.0-90.9%) and digital DNA-DNA hybridization values (27.3-42.0%) were below the species-level thresholds. The major fatty acids of all four strains were C, C 9 and C. Major polar lipids were composed of diphosphatidylglycerol and phosphatidylethanolamine. Ubiquinone-8 was the sole ubiquinone detected in strains G1425ᵀ and G1604ᵀ. Based on phenotypic and phylogenetic evidence, we propose that strains G1425 and G1604 represent two novel species of the genus , respectively, with the names sp. nov. and sp. nov. The type strains are G1425 (=GDMCC 1.5468=JCM 37774) and G1604 (=GDMCC1.5469=JCM 37775). - Source: PubMed
Gao FangyuYan TaoyuWeng ZixinZhang MeiYang QiangZhao LijunXie JunyaoLiu TaoYang CaixinKang ZhimingPu JiZheng HanXu JianguoDong Kui