Molecular Detection of Canine Parvovirus-2c (Cpv-2c) in Diseased Coyote Pups (Canis Latrans) at Northeastern Mexico

Intro: Canine parvovirus type 2 (PVC-2), Protoparvovirus genus of the Parvoviridae family, is a worldwide distribution virus that affects the Canidae family. In free-living coyotes (Canis latrans), the presence of the PCV-2a, PCV-2b and PCV-2c subtypes of PVC-2 has been reported, but there are no reports of their presence as a cause of clinical damage. The objective of this study is to report the presence of PVC-2c in an outbreak of mild gastroenteritis in three coyote pups detected in northeastern Mexico Methods: During the fall of 2019, in the suburban area of Monterrey, N.L., 3 affected coyote pups were detected with a mild gastroenteric condition consisting of mild diarrhea with loose stools, vomiting, dehydration, loss of appetite, pale mucous membranes, and low weight. Stool samples were tested for Canine Parvovirus (CPV-2), Canine Coronavirus (CCV) or Giardia antigens with a commercial kit. All samples were positive for CPV-2 and these were subsequently analyzed by PCR and sequencing of the CPV-2 VP2 gene. Using bioinformatics, the VP2 gene sequence data obtained were used to establish phylogenetic relationships with homologous sequences reported in coyotes and CPV-2 vaccines. Finding(s): The genetic sequence of VP2 obtained showed a high homology (98.1 to 100%) with CPV-2c. The sequences obtained from the pups showed 100% homology to each other. The phylogenetic tree showed that the sequences reported in coyotes are grouped in different clades and that the sequence of the VP2 gene of CPV-2c from coyote pups is grouped in a different monophyletic group. Conclusion(s): Information suggests that wild coyotes may not only act as asymptomatic reservoir hosts but may also be clinically affected by PVC-2c. It is necessary to carry out studies to know the effects of the genetic subtypes of PVC-2 in the population of coyotes and other wild canids of northeastern Mexico.Copyright © 2023

Susceptibility of Wild Canids to SARS-CoV-2.

We assessed 2 wild canid species, red foxes (Vulpes vulpes) and coyotes (Canis latrans), for susceptibility to SARS-CoV-2. After experimental inoculation, red foxes became infected and shed infectious virus. Conversely, experimentally challenged coyotes did not become infected; therefore, coyotes are unlikely to be competent hosts for SARS-CoV-2.

Solving the Mesh Router Nodes Placement in Wireless Mesh Networks Using Coyote Optimization Algorithm

Wireless Mesh Networks (WMNs) have rapid real developments during the last decade due to their simple implementation at low cost, easy network maintenance, and reliable service coverage. Despite these properties, the nodes placement of such networks imposes an important research issue for network operators and influences strongly the WMNs performance. This challenging issue is known to be an NP-hard problem, and solving it using approximate optimization algorithms (i.e. heuristic and meta-heuristic) is essential. This motivates our attempts to present an application of the Coyote Optimization Algorithm (COA) to solve the mesh routers placement problem in WMNs in this work. Experiments are conducted on several scenarios under different settings, taking into account two important metrics such as network connectivity and user coverage. Simulation results demonstrate the effectiveness and merits of COA in finding optimal mesh routers locations when compared to other optimization algorithms such as Firefly Algorithm (FA), Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA), Genetic Algorithm (GA), Bat Algorithm (BA), African Vulture Optimization Algorithm (AVOA), Aquila Optimizer (AO), Bald Eagle Search optimization (BES), Coronavirus herd immunity optimizer (CHIO), and Salp Swarm Algorithm (SSA).