Publications by authors named "Marco Di Salvo"

As the aquaculture sector significantly expanded worldwide in the past decades, the concept of sustainable aquaculture has developed with the challenge of not only maximizing benefits but also minimizing the negative impacts on the environment assuring, at the same time, food security. In this framework, monitoring and improving the microbiological water quality and animal health are a central topic. In the present study, we evaluated the seawater microbiological quality in a mariculture system located in a Mediterranean coastal area (Northern Ionian Sea, Italy).

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Introduction: Uterus transplantation has shown success in treating women with uterine factor infertility who want to carry their own pregnancy.

Methods: We report the medical, sexual, and psychological outcomes of our first cohort of 13 living donor hysterectomies. As we have transitioned from open to robotically assisted hysterectomy, this report represents the complete series of open donor hysterectomies at our center, all with ≥6-month postoperative outcomes.

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The 16S rRNA gene metabarcoding approach has been used to characterize the structure of the airborne bacterial community of PM10 samples, and investigate the dependence on meteorology, seasons, and long-range transported air masses. The PM10 samples were collected at a Central Mediterranean coastal site, away from large sources of local pollution. Proteobacteria, Cyanobacteria, Actinobacteria, Firmicutes, and Bacteroidetes, which were found in all samples, were the most abundant phyla.

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Maculinea (=Phengaris) are endangered butterflies that are characterized by a very complex biological cycle. Maculinea larvae behave as obligate parasites whose survival is strictly dependent on both particular food plants and species-specific Myrmica ants. In this interaction, Maculinea caterpillars induce Myrmica workers to retrieve and rear them in the nest by chemical and acoustic deception.

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Article Synopsis
  • There are two primary mechanisms that terminate DNA transcription in bacteria: intrinsic (Rho-independent) and Rho-dependent termination, with the latter being more challenging to predict due to complex sequence requirements.
  • RhoTermPredict is introduced as the first algorithm specifically designed to predict Rho-dependent terminators by identifying consensus motifs, such as a 78 nt long RUT site enriched in C vs G content.
  • The performance of RhoTermPredict was validated using genomic data from E. coli, Bacillus subtilis, and Salmonella enterica, showing its effectiveness in identifying Rho-dependent termination sites compared to existing intrinsic terminator prediction tools.
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Spiramycin is a macrolide antibiotic and antiparasitic that is used to treat toxoplasmosis and various other infections of soft tissues. In the current study, we evaluated the effects of α-cyclodextrin, β-cyclodextrin, or methyl-β-cyclodextrin supplementation to a synthetic culture medium on biomass and spiramycin production by ATCC 23877. We found a high stimulatory effect on spiramycin production when the culture medium was supplemented with 0.

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A considerable body of evidence links together mitochondrial dysfunctions, toxic action of metalloid oxyanions, and system and neurodegenerative disorders. In this study we have used the model yeast Saccharomyces cerevisiae to investigate the genetic determinants associated with tellurite resistance/sensitivity. Nitrosoguanidine-induced KTeO-resistant mutants were isolated, and one of these mutants, named Sc57-Te, was characterized.

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Article Synopsis
  • - The study investigates how certain microorganisms can survive and grow in extra-virgin olive oil, despite its generally unfavorable conditions for microbial life due to its antimicrobial components.
  • - Researchers found notable strains, including Stenotrophomonas rhizophila and Sporobolomyces roseus, in 1-year-stored samples of extra-virgin olive oil, and assessed their growth in olive oil as a carbon source.
  • - A focus on Pantoea septica revealed that two bacterial isolates can produce carotenoids and bioemulsifiers, which help them thrive in olive oil, with their growth involving specific carbohydrates and fatty acids.
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Background: Over the last few decades, computational genomics has tremendously contributed to decipher biology from genome sequences and related data. Considerable effort has been devoted to the prediction of transcription promoter and terminator sites that represent the essential "punctuation marks" for DNA transcription. Computational prediction of promoters in prokaryotes is a problem whose solution is far from being determined in computational genomics.

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We present an effective dynamical model for the onset of bacterial bioluminescence, one of the most studied quorum sensing-mediated traits. Our model is built upon simple equations that describe the growth of the bacterial colony, the production and accumulation of autoinducer signal molecules, their sensing within bacterial cells, and the ensuing quorum activation mechanism that triggers bioluminescent emission. The model is directly tested to quantitatively reproduce the experimental distributions of photon emission times, previously measured for bacterial colonies of , a luminescent bacterium belonging to the Harveyi clade, growing in a highly drying environment.

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