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Rickettsiella species are bacterial symbionts that are present in a great variety of arthropod species, including ixodid ticks. However, little is known about their genetic diversity and distribution in Ixodes ricinus, as well as their relationship with other tick-associated bacteria. In this study, we investigated the occurrence and the genetic diversity of Rickettsiella spp. in I. ricinus throughout Europe and evaluated any preferential and antagonistic associations with Candidatus Midichloria mitochondrii and the pathogens Borrelia burgdorferi sensu lato and Borrelia miyamotoi. Rickettsiella spp. were detected in most I. ricinus populations investigated, encompassing a wide array of climate types and environments. The infection prevalence significantly differed between geographic locations and was significantly higher in adults than in immature life stages. Phylogenetic investigations and protein characterization disclosed four Rickettsiella clades (I–IV). Close phylogenetic relations were observed between Rickettsiella strains of I. ricinus and other arthropod species. Isolation patterns were detected for Clades II and IV, which were restricted to specific geographic areas. Lastly, although coinfections occurred, we did not detect significant associations between Rickettsiella spp. and the other tick-associated bacteria investigated. Our results suggest that Rickettsiella spp. are a genetically and biologically diverse facultative symbiont of I. ricinus and that their distribution among tick populations could be influenced by environmental components. [ABSTRACT FROM AUTHOR]

Predictive algorithms are powerful tools to support infection surveillance plans based on the monitoring of vector abundance. In this article, we explore the use of genetic programming (GP) to build a predictive model of mosquito abundance based on environmental and climatic variables. We claim, in fact, that the heterogeneity and complexity of this kind of dataset demands algorithms capable of discovering complex relationships among variables. For this reason, we benchmarked GP performance with state of the art machine learning predictive algorithms. In order to provide a real exploitable model of mosquito abundance, we trained GP and the other algorithms on mosquito collections from 2002 to 2005 and we tested the predictive ability in 2006 collections. Results reveal that, among the studied methods, GP has the best performance in terms of accuracy and generalization ability. Moreover, the intrinsic feature selection and readability of the solution provided by GP offer the possibility of a biological interpretation of the model which highlights known or new behaviours responsible for mosquito abundance. GP, therefore, reveals to be a promising tool in the field of ecological modelling, opening the way to the use of a vector based GP approach (VE-GP) which may be more appropriate and beneficial for the problems in analysis. [ABSTRACT FROM AUTHOR]

To gain further insight into the genomic features of bovine viral diarrhea virus 1 (BVDV-1) subtypes, we sequenced the complete genome of the BVDV-1 isolate VE/245/12. This is an uncommon subtype that was isolated from a persistently infected animal. Here, we report the complete genome sequence, consisting of 12,295 nucleotides (nt) with an open reading frame of 11,694 nt encoding 3,898 amino acids. Phylogenetic analysis of the full-length genome, 5'-UTR, and N region confirmed that the BVDV-1 isolate differed significantly from all of the bovine pestiviruses identified so far, providing evidence for the presence of a distinct novel genetic group. [ABSTRACT FROM AUTHOR]

In this study, Borrelia lusitaniae DNA extracted from ticks and lizards was used to amplify the outer surface protein A (OspA) gene in order to increase knowledge about sequence variability in the Mediterranean basin area, to better understand how Borrelia lusitaniae has evolved and how its distribution has expanded. Phylogenetic trees including Italian and reference sequences showed a clear separation of B. lusitaniae OspA strains in two different major clades. North African isolates form a clade with Portuguese POTIB strains, whereas Italian samples are grouped with German strains and a human Portuguese strain. This subdivision was supported by very high posterior probability values in the trees, by both analysis of molecular variance and selective pressure. These results, based on phylogenetic information contained in the OspA gene sequences, show the presence of two different B. lusitaniae strains circulating in the Mediterranean basin area, suggesting two different evolution paths. [ABSTRACT FROM AUTHOR]

The complete genome sequences of both biotypes of a pair of bovine viral diarrhea viruses isolated from a bovid affected by mucosal disease were determined by next generation sequencing. The cytopathic virus possessed a 423-base insertion derived from bovine poly ubiquitin in the NS2/3 coding region and one nucleotide change. Both biotypes showed an additional glycosylation site in their N-terminus. [ABSTRACT FROM AUTHOR]

Bovine viral diarrhea virus (BVDV) is one of the most important pathogens of cattle worldwide. BVDV-1 is widely distributed in Italy, while BVDV-2 has been detected occasionally. BVDV can be classified in two biotypes, cytopathic (CP) or noncytopathic (NCP). The characteristic of the virus is linked with the infection of a pregnant dam with a NCP strain: due to viral establishment before maturation of the fetal immune system the calf remains persistently infected (PI) and immunotolerant to the infecting BVDV strain. Thanks to their immunotolerance, PI animals represent a unique model to study the viral distribution and compartmentalization in absence of immunoresponse in vivo. In the present study, NGS sequencing was used to characterize the BVDV2 viral strain infecting a PI calf and to describe the viral quasispecies in tissues. Even if the consensus sequences obtained by all the samples were highly similar, quasispecies was described evaluating the presence and the frequency of variants among all the sequencing reads in each tissue. The results suggest a high heterogeneity of the infecting viral strain suggesting viral compartmentalization. The quasispecies analysis highlights the complex dynamics of viral population structure and can increase the knowledge about viral evolution in BVDV-2 persistently infected animals. [ABSTRACT FROM AUTHOR]