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Arianna Basile has a background in Bioinformatics and obtained her PhD in Bioscience (genetics, genomics and bioinformatics) at University of Padova (Italy) in 2022 with Professor Giorgio Valle. During her PhD, Arianna developed tools and applications in the context of Flux Balance Analysis applied to the study of microbial anaerobic metabolism (i.e. anaerobic digestion and human gut flora). In 2020, Arianna was awarded an European short-term fellowship from EMBO, and she flied in Ireland where she had the honour to work with Professor Ines Thiele and Professor Almut Heinken.
In 2022, Arianna joined Kiran Patil's lab at the MRC Toxicology Unit.


Research interests:

In the human body there are 10 bacterial cells for each human one and the number of genes contained within the gut flora outnumbers that contained within our own genome 150-fold. As a consequence, microbial species are known to influence host health. Arianna's main area of expertise is a computational approach called Flux Balance Analysis, used in particular to analyse the complex metabolism of bacteria and the network of interactions participated by microbial species. In order to quantitatively study these microbiomes, Arianna combines Flux Balance Analysis with other bioinformatics and statistical approaches.



Key publications: 

Heinken A, Basile A, Hertel J, Thinnes C and Thiele I. Genome-scale metabolic modeling of the human microbiome in the era of personalized medicine. Annual review of Microbiology; 75, 199-222. (2021).

Campanaro S, Treu L, Rodriguez-R LM, Kovalovszki A, Ziels RM, Maus I, Zhu X, Kougias PG, Basile A, Luo G, Schluter A, Konstantinidis KT and Angelidaki I. New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters. Biotechnology for Biofuels; 13, 1-18. (2020).

Basile A, Campanaro S, Kovalovszki A, Zampieri G, Rossi A, Angelidaki I, Valle G and Treu L. Revealing metabolic mechanisms of interaction in the anaerobic digestion microbiome by flux balance analysis. Metabolic Engineering; 62, 138-149. (2020).


Google Scholar profile

Research Associate

Contact Details

MRC Toxicology Unit
Gleeson Building
Tennis Court Road