The Experts below are selected from a list of 599304 Experts worldwide ranked by ideXlab platform
Soizic Prado - One of the best experts on this subject based on the ideXlab platform.
-
Bacterial-fungal interactions in the kelp endomicrobiota drive autoinducer-2 quorum sensing
Frontiers in Microbiology, 2019Co-Authors: Anne Tourneroche, Marine Vallet, Karine Escoubeyrou, Alain Paris, Cédric Hubas, Elodie Blanchet, Raphaël Lami, Soizic PradoAbstract:Brown macroalgae are an essential component of temperate coastal ecosystems and a growing Economic Sector. They harbor diverse microbial communities that regulate algal development and health. This algal holobiont is dynamic and achieves equilibrium via a complex network of microbial and host interactions. We now report that bacterial and fungal endophytes associated with four brown algae (Ascophyllum nodosum, Pelvetia canaliculata, Laminaria digitata, and Saccharina latissima) produce metabolites that interfere with bacterial autoinducer-2 quorum sensing, a signaling system implicated in virulence and host colonization. Additionally, we performed co-culture experiments combined to a metabolomic approach and demonstrated that microbial interactions influence production of metabolites, including metabolites involved in quorum sensing. Collectively, the data highlight autoinducer-2 quorum sensing as a key metabolite in the complex network of interactions within the algal holobiont.
Anne Tourneroche - One of the best experts on this subject based on the ideXlab platform.
-
Bacterial-fungal interactions in the kelp endomicrobiota drive autoinducer-2 quorum sensing
Frontiers in Microbiology, 2019Co-Authors: Anne Tourneroche, Marine Vallet, Karine Escoubeyrou, Alain Paris, Cédric Hubas, Elodie Blanchet, Raphaël Lami, Soizic PradoAbstract:Brown macroalgae are an essential component of temperate coastal ecosystems and a growing Economic Sector. They harbor diverse microbial communities that regulate algal development and health. This algal holobiont is dynamic and achieves equilibrium via a complex network of microbial and host interactions. We now report that bacterial and fungal endophytes associated with four brown algae (Ascophyllum nodosum, Pelvetia canaliculata, Laminaria digitata, and Saccharina latissima) produce metabolites that interfere with bacterial autoinducer-2 quorum sensing, a signaling system implicated in virulence and host colonization. Additionally, we performed co-culture experiments combined to a metabolomic approach and demonstrated that microbial interactions influence production of metabolites, including metabolites involved in quorum sensing. Collectively, the data highlight autoinducer-2 quorum sensing as a key metabolite in the complex network of interactions within the algal holobiont.
Rosario N. Mantegna - One of the best experts on this subject based on the ideXlab platform.
-
dynamics of fintech terms in news and blogs and specialization of companies of the fintech industry
Chaos, 2020Co-Authors: Fabio Ciulla, Rosario N. MantegnaAbstract:We perform a large scale analysis of a list of fintech terms in (i) news and blogs in the English language and (ii) professional descriptions of companies operating in many countries. The occurrence and the co-occurrence of fintech terms and locutions show a progressive evolution of the list of fintech terms in a compact and coherent set of terms used worldwide to describe fintech business activities. By using methods of complex networks that are specifically designed to deal with heterogeneous systems, our analysis of a large set of professional descriptions of companies shows that companies having fintech terms in their description present over-expressions of specific attributes of country, municipality, and Economic Sector. By using the approach of statistically validated networks, we detect geographical and Economic over-expressions of a set of companies related to the multi-industry, geographically, and Economically distributed fintech movement.
-
bank firm credit network in japan an analysis of a bipartite network
PLOS ONE, 2015Co-Authors: Luca Marotta, Salvatore Micciche, Yoshi Fujiwara, Hiroshi Iyetomi, Hideaki Aoyama, Mauro Gallegati, Rosario N. MantegnaAbstract:We investigate the networked nature of the Japanese credit market. Our investigation is performed with tools of network science. In our investigation we perform community detection with an algorithm which is identifying communities composed of both banks and firms. We show that the communities obtained by directly working on the bipartite network carry information about the networked nature of the Japanese credit market. Our analysis is performed for each calendar year during the time period from 1980 to 2011. To investigate the time evolution of the networked structure of the credit market we introduce a new statistical method to track the time evolution of detected communities. We then characterize the time evolution of communities by detecting for each time evolving set of communities the over-expression of attributes of firms and banks. Specifically, we consider as attributes the Economic Sector and the geographical location of firms and the type of banks. In our 32-year-long analysis we detect a persistence of the over-expression of attributes of communities of banks and firms together with a slow dynamic of changes from some specific attributes to new ones. Our empirical observations show that the credit market in Japan is a networked market where the type of banks, geographical location of firms and banks, and Economic Sector of the firm play a role in shaping the credit relationships between banks and firms.
-
bank firm credit network in japan an analysis of a bipartite network
2014Co-Authors: Luca Marotta, Salvatore Micciche, Yoshi Fujiwara, Hiroshi Iyetomi, Hideaki Aoyama, Mauro Gallegati, Rosario N. MantegnaAbstract:We present an analysis of the credit market of Japan. The analysis is performed by investigating the bipartite network of banks and firms which is obtained by setting a link between a bank and a firm when a credit relationship is present in a given time window. In our investigation we focus on a community detection algorithm which is identifying communities composed by both banks and firms. We show that the clusters obtained by directly working on the bipartite network carry information about the networked nature of the Japanese credit market. Our analysis is performed for each calendar year during the time period from 1980 to 2011. Specifically, we obtain communities of banks and networks for each of the 32 investigated years, and we introduce a method to track the time evolution of these communities on a statistical basis. We then characterize communities by detecting the simultaneous over-expression of attributes of firms and banks. Specifically, we consider as attributes the Economic Sector and the geographical location of firms and the type of banks. In our 32 year long analysis we detect a persistence of the over-expression of attributes of clusters of banks and firms together with a slow dynamics of changes from some specific attributes to new ones. Our empirical observations show that the credit market in Japan is a networked market where the type of banks, geographical location of firms and banks and Economic Sector of the firm play a role in shaping the credit relationships between banks and firms.
Raphaël Lami - One of the best experts on this subject based on the ideXlab platform.
-
Bacterial-fungal interactions in the kelp endomicrobiota drive autoinducer-2 quorum sensing
Frontiers in Microbiology, 2019Co-Authors: Anne Tourneroche, Marine Vallet, Karine Escoubeyrou, Alain Paris, Cédric Hubas, Elodie Blanchet, Raphaël Lami, Soizic PradoAbstract:Brown macroalgae are an essential component of temperate coastal ecosystems and a growing Economic Sector. They harbor diverse microbial communities that regulate algal development and health. This algal holobiont is dynamic and achieves equilibrium via a complex network of microbial and host interactions. We now report that bacterial and fungal endophytes associated with four brown algae (Ascophyllum nodosum, Pelvetia canaliculata, Laminaria digitata, and Saccharina latissima) produce metabolites that interfere with bacterial autoinducer-2 quorum sensing, a signaling system implicated in virulence and host colonization. Additionally, we performed co-culture experiments combined to a metabolomic approach and demonstrated that microbial interactions influence production of metabolites, including metabolites involved in quorum sensing. Collectively, the data highlight autoinducer-2 quorum sensing as a key metabolite in the complex network of interactions within the algal holobiont.
Elodie Blanchet - One of the best experts on this subject based on the ideXlab platform.
-
Bacterial-fungal interactions in the kelp endomicrobiota drive autoinducer-2 quorum sensing
Frontiers in Microbiology, 2019Co-Authors: Anne Tourneroche, Marine Vallet, Karine Escoubeyrou, Alain Paris, Cédric Hubas, Elodie Blanchet, Raphaël Lami, Soizic PradoAbstract:Brown macroalgae are an essential component of temperate coastal ecosystems and a growing Economic Sector. They harbor diverse microbial communities that regulate algal development and health. This algal holobiont is dynamic and achieves equilibrium via a complex network of microbial and host interactions. We now report that bacterial and fungal endophytes associated with four brown algae (Ascophyllum nodosum, Pelvetia canaliculata, Laminaria digitata, and Saccharina latissima) produce metabolites that interfere with bacterial autoinducer-2 quorum sensing, a signaling system implicated in virulence and host colonization. Additionally, we performed co-culture experiments combined to a metabolomic approach and demonstrated that microbial interactions influence production of metabolites, including metabolites involved in quorum sensing. Collectively, the data highlight autoinducer-2 quorum sensing as a key metabolite in the complex network of interactions within the algal holobiont.
