A computational model of Pseudomonas syringae metabolism unveils a role for branched-chain amino acids in Arabidopsis leaf colonization

Abstract
Bacterial pathogens adapt their metabolism to the plant environment to successfully colonize their hosts. In our efforts to uncover the metabolic pathways that contribute to the colonization of Arabidopsis thaliana leaves by Pseudomonas syringae pv tomato DC3000 (Pst DC3000), we created iPst19, an ensemble of 100 genome-scale network reconstructions of Pst DC3000 metabolism. Click here, to read full publication.

Philip J Tubergen, Greg Medlock, Anni Moore, Xiaomu Zhang, Jason A Papin, Cristian H Danna
https://pubmed.ncbi.nlm.nih.gov/38150474/