Linking metabolic phenotypes to pathogenic traits among “Candidatus Liberibacter asiaticus” and its hosts

Author:

Zuñiga CristalORCID,Peacock Beth,Liang Bo,McCollum Greg,Irigoyen Sonia C.,Tec-Campos Diego,Marotz Clarisse,Weng Nien-Chen,Zepeda Alejandro,Vidalakis Georgios,Mandadi Kranthi K.ORCID,Borneman James,Zengler Karsten

Abstract

AbstractCandidatus Liberibacter asiaticus (CLas) has been associated with Huanglongbing, a lethal vector-borne disease affecting citrus crops worldwide. While comparative genomics has provided preliminary insights into the metabolic capabilities of this uncultured microorganism, a comprehensive functional characterization is currently lacking. Here, we reconstructed and manually curated genome-scale metabolic models for the six CLas strains A4, FL17, gxpsy, Ishi-1, psy62, and YCPsy, in addition to a model of the closest related culturable microorganism, L. crescens BT-1. Predictions about nutrient requirements and changes in growth phenotypes of CLas were confirmed using in vitro hairy root-based assays, while the L. crescens BT-1 model was validated using cultivation assays. Host-dependent metabolic phenotypes were revealed using expression data obtained from CLas-infected citrus trees and from the CLas-harboring psyllid Diaphorina citri Kuwayama. These results identified conserved and unique metabolic traits, as well as strain-specific interactions between CLas and its hosts, laying the foundation for the development of model-driven Huanglongbing management strategies.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Drug Discovery,General Biochemistry, Genetics and Molecular Biology,Modelling and Simulation

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