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Giovanni Bacci

Researcher at University of Florence

Publications -  68
Citations -  1400

Giovanni Bacci is an academic researcher from University of Florence. The author has contributed to research in topics: Microbiome & Lung microbiome. The author has an hindex of 17, co-authored 64 publications receiving 1004 citations. Previous affiliations of Giovanni Bacci include Consiglio per la ricerca e la sperimentazione in agricoltura.

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Salinity and bacterial diversity: to what extent does the concentration of salt affect the bacterial community in a saline soil?

TL;DR: It emerged that a patchy saline soil can not contain just a single microbial community selected to withstand extreme osmotic phenomena, but many communities that can be variously correlated to one or more environmental parameters.
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Soil bacterial community response to differences in agricultural management along with seasonal changes in a Mediterranean region

TL;DR: Soil bacterial communities were seasonally distinct and exhibited compositional shifts that tracked with changes in land use and soil management, which may contribute to future searches for bacterial bio-indicators of soil health and sustainable productivity.
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Exploring the evolutionary dynamics of plasmids: the Acinetobacter pan-plasmidome

TL;DR: It is found that transposases and selective pressure for mercury resistance seem to have played a pivotal role in plasmid evolution in Acinetobacter genomes sequenced so far.
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Preliminary Comparison of Oral and Intestinal Human Microbiota in Patients with Colorectal Cancer: A Pilot Study

TL;DR: Next-Generation Sequencing was used to analyze and compare human microbiota from three different compartments of a selected cohort of 10 Italian patients with colorectal cancer and found a different taxonomic composition of feces from CRC compared to healthy controls.
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Changes in cystic fibrosis airway microbial community associated with a severe decline in lung function

TL;DR: Overall, changes in CF airway microbial community associated with a severe lung function decline were detected, allowing us to define some discriminatory species as well as some discriminatory T-RFs that represent good candidates for the development of predictive biomarkers of substantial decline in lung function.