Arthropod-transmitted flaviviruses are responsible for considerable morbidity and mortality, causing severe encephalitic, hemorrhagic, and febrile illnesses in humans. Because there are no specific clinical symptoms for infection by a determined virus and because different arboviruses could be present in the same area, a genus diagnosis by PCR would be a useful first-line diagnostic method. The six published Flavivirus genus primer pairs localized in the NS1, NS3, NS5, and 3′ NC regions were evaluated in terms of specificity and sensitivity with flaviviruses (including the main viruses pathogenic for humans) at a titer of 10 ⁵ 50% tissue culture infectious doses (TCID ₅₀ s) ml ⁻¹ with a common identification step by agarose gel electrophoresis. Only one NS5 primer pair allowed the detection of all tested flaviviruses with the sensitivity limit of 10 ⁵ TCID ₅₀ s ml ⁻¹ . Using a heminested PCR with new primers designed in the same region after an alignment of 30 different flaviviruses, the sensitivity of reverse transcription-PCR was improved and allowed the detection of about 200 infectious doses ml ⁻¹ with all of the tick- and mosquito-borne flaviviruses tested. It was confirmed that the sequenced amplified products in the NS5 region allowed predictability of flavivirus species by dendrogram, including the New York 99 West Nile strain. This technique was successfully performed with a cerebrospinal fluid sample from a patient hospitalized with West Nile virus encephalitis.

Significance: Evolution by natural selection requires populations to be sufficiently diverse, but merely counting the number of different individuals provides a poor indication of the potential of a population to satisfy a new selective constraint. To achieve a more relevant characterization of this selective potential, we performed in vitro experiments of selection with populations of partially randomized proteins and analyzed the results quantitatively by high-throughput sequencing. We find that selective potentials in these populations follow simple statistical laws, which can be interpreted with extreme value theory (the mathematical theory of extreme events—here, the rare finding of a protein meeting the selective constraints). Our results provide an approach to quantitatively measure the selective potential of a population.

Background: Variola virus (family Poxviridae, genus Orthopoxvirus) and the closely related cowpox, vaccinia, and monkeypox viruses can infect humans. Efforts are mounting to replenish the smallpox vaccine stocks, optimize diagnostic methods for poxviruses, and develop new antivirals against smallpox, because it is feared that variola virus might be used as a weapon of bioterrorism. Methods: We developed an assay for the detection of variola virus DNA. The assay is based on TaqMan chemistry targeting the 14-kD protein gene. For the 1st stage of the assay we used genus consensus primers and a mixture of 2 probes (14-kD POX and 14-kD VAR) spanning the 14-kD protein-encoding gene for detection of all human pathogenic orthopoxviruses. We then tested positive samples with the specific orthopoxvirus-specific probe 14-kD POX to identify monkeypox, cowpox, and vaccinia viruses and with the 14-kD VAR probe to identify variola viruses. The assay was established on 4 different PCR cycler platforms. It was assessed in a study with 85 different orthopoxvirus species and strains that included variola, camelpox, cowpox, monkeypox, and vaccinia viruses at concentrations ranging from 100 ng/L to 1 μg/L. Results: The assay detected as little as 0.05 fg of DNA, corresponding to 25 copies of DNA, and enabled differentiation of variola virus from the other orthopoxviruses. Conclusions: This real-time PCR assay provides a rapid method for the early detection and differentiation of smallpox and other human pathogenic orthopoxvirus infections.

Foodborne pathogens present a serious issue around the world due to the remarkably high number of illnesses they cause every year. In an effort to narrow the gap between monitoring needs and currently implemented classical detection methodologies, the last decades have seen an increased development of highly accurate and reliable biosensors. Peptides as recognition biomolecules have been explored to develop biosensors that combine simple sample preparation and enhanced detection of bacterial pathogens in food. This review first focuses on the selection strategies for the design and screening of sensitive peptide bioreceptors, such as the isolation of natural antimicrobial peptides (AMPs) from living organisms, the screening of peptides by phage display and the use of in silico tools. Subsequently, an overview on the state-of-the-art techniques in the development of peptide-based biosensors for foodborne pathogen detection based on various transduction systems was given. Additionally, limitations in classical detection strategies have led to the development of innovative approaches for food monitoring, such as electronic noses, as promising alternatives. The use of peptide receptors in electronic noses is a growing field and the recent advances of such systems for foodborne pathogen detection are presented. All these biosensors and electronic noses are promising alternatives for the pathogen detection with high sensitivity, low cost and rapid response, and some of them are potential portable devices for on-site analyses.