Biology subjects

Rossi, L.

Publications and source records attributed to Rossi, L..

4 recordsLinked to original sources

bioRxiv2018

The Sicilian wolf: genetic identity of a recently extinct insular population

During historical times many local grey wolf (Canis lupus) populations underwent a substantial reduction of their sizes or became extinct. Among these, the wolf population once living in Sicily, the biggest island of the Mediterranean Sea, was completely eradicated by human persecution in the early decades of the XX century.\n\nIn order to understand the genetic identity of the Sicilian wolf, we applied ancient DNA techniques to analyse the mitochondrial DNA of six specimens actually stored in Italian museums.\n\nWe successfully amplified a diagnostic mtDNA fragment of the control region (CR) in four of the samples. Results showed that two samples shared the same haplotype, that differed by two substitutions from the currently most diffused Italian wolf haplotype (W14) and one substitution from the only other Italian haplotype (W16). The third sample showed a wolf-like haplotype never described before and the fourth a haplotype commonly found in dogs.\n\nFurthermore, all the wolf haplotypes detected in this study belonged to the mitochondrial haplogroup that includes haplotypes detected in all the known European Pleistocene wolves and in several modern southern European populations.\n\nUnfortunately, this endemic island population, bearing unique mtDNA variability, was definitively lost before it was possible to understand its taxonomic uniqueness and conservational value.

genetics↗

bioRxiv2018

A new subspecies of gray wolf, recently extinct, from Sicily, Italy (Carnivora, Canidae)

A new endemic subspecies of gray wolf from the island of Sicily (Italy) is described. While usually considered extinct before 1940, theres some evidence it may have survived up to 1970. This wolf was widespread throughout the island and characterized by a smaller size and a paler coloration than the Apennine wolf (Canis lupus italicus) from Central-Southern Italy.\n\nThis subspecies is described from a mounted specimen (the holotype) including also a separate skull stored at the Museo di Storia Naturale La Specola, Universita di Firenze, Italy. The three paratypes are: a) a mounted specimen stored at the Museo Regionale Interdisciplinare di Terrasini in Terrasini (PA), Italy, b) a mounted specimen stored at the Museo di Zoologia Pietro Doderlein, Universita di Palermo, Palermo, Italy, c) a mounted specimen stored at the Museo Civico Baldassarre Romano in Termini Imerese (PA), Italy.\n\nThis new subspecies is described as Canis lupus cristaldii subsp. nov. We suggest Sicilian wolf as common name for this new taxon.

zoology↗

bioRxiv2018

Quantifying the risk of local Zika virus transmission in the continental US during the 2015-2016 ZIKV epidemic

BackgroundLocal mosquito-borne Zika virus (ZIKV) transmission has been reported in two counties of the continental United State (US), prompting the issuance of travel, prevention, and testing guidance across the continental US. Large uncertainty, however, surrounds the quantification of the actual risk of ZIKV introduction and autochthonous transmission across different areas of the US.\n\nMethodWe present a framework for the projection of ZIKV autochthonous transmission in the continental US during the 2015-2016 epidemic, using a data-driven stochastic and spatial epidemic model accounting for seasonal, environmental and detailed population data. The model generates an ensemble of travel-related case counts and simulate their potential to trigger local transmission at individual level.\n\nResultsWe estimate the risk of ZIKV introduction and local transmission at the county level and at the 0.025{degrees} x 0.025{degrees} cell level across the continental US. We provide a risk measure based on the probability of observing local transmission in a specific location during a ZIKV epidemic modeled after the one observed during the years 2015-2016. The high spatial and temporal resolutions of the model allow us to generate statistical estimates of the number of ZIKV introductions leading to local transmission in each location. We find that the risk is spatially heterogeneously distributed and concentrated in a few specific areas that account for less than 1% of the continental US population. Locations in Texas and Florida that have actually experienced local ZIKV transmission are among the places at highest risk according to our results. We also provide an analysis of the key determinants for local transmission, and identify the key introduction routes and their contributions to ZIKV spread in the continental US.\n\nConclusionsThis framework provides quantitative risk estimates, fully captures the stochas-ticity of ZIKV introduction events, and is not biased by the under-ascertainment of cases due to asymptomatic infections. It provides general information on key risk determinants and data with potential uses in defining public health recommendations and guidance about ZIKV risk in the US.

epidemiology↗

bioRxiv2017

Preliminary results of models to predict areas in the Americas with increased likelihood of Zika virus transmission in 2017.

Numerous Zika virus vaccines are being developed. However, identifying sites to evaluate the efficacy of a Zika virus vaccine is challenging due to the general decrease in Zika virus activity. We compare results from three different modeling approaches to estimate areas that may have increased relative risk of Zika virus transmission during 2017. The analysis focused on eight priority countries (i.e., Brazil, Colombia, Costa Rica, Dominican Republic, Ecuador, Mexico, Panama, and Peru). The models projected low incidence rates during 2017 for all locations in the priority countries but identified several subnational areas that may have increased relative risk of Zika virus transmission in 2017. Given the projected low incidence of disease, the total number of participants, number of study sites, or duration of study follow-up may need to be increased to meet the efficacy study endpoints.

epidemiology↗