Biology subjects

Behlau, F.

Publications and source records attributed to Behlau, F..

2 recordsLinked to original sources

bioRxiv2025

A quick protocol for assessing the therapeutical effect of treatments against Candidatus Liberibacter asiaticus using rooted Citrus medica cuttings

Huanglongbing (HLB), caused by Candidatus Liberibacter asiaticus (CLas), is the most devastating citrus disease worldwide. Developing effective therapies remains a major challenge, as CLas cannot be cultured in vitro and colonizes the host phloem systemically. This study presents a rapid, reproducible, and cost-effective in vivo platform for screening bacteriostatic and bactericidal compounds using CLas-infected citron (Citrus medica (L.) Osbeck) stem cuttings. Among seven citrus genotypes tested, citron stem cuttings exhibited superior rooting performance and uniform vegetative growth. Four propagation protocols were developed and assessed based on the dynamics of rooting and shoot growth, CLas colonization, and the response to oxytetracycline (OTC) treatment. CLas+ stem cuttings were treated with OTC via drenching at different developmental root stages. The roots or new vegetative flushes were sampled for bacterial quantification by qPCR. In Protocol 2, in which treatments were applied and sampled 14 and 35 days after planting (DAP) respectively, OTC-treated roots achieved the highest suppression of CLas and the lower incidence of CLas+ rooted cuttings compared to non-treated roots. Time-course analysis showed that OTC delayed bacterial establishment in root tissues, with maximal suppression observed at 35 DAP. The proposed protocols simulate the natural progression of systemic infection in citrus plants, allow the assessment of phytotoxicity, and offer a scalable technology that does not underestimate the efficacy of future bactericidal candidates. This platform significantly reduces time and cost compared to traditional seedling or nursery tree experiments and enhances the early-phase screening of antimicrobial compounds. Altogether, this stem cutting-based approach represents a biologically relevant, scalable tool to accelerate therapeutic discovery and strengthen integrated HLB management strategies.

plant biology↗

bioRxiv2022

Core genome MLST for epidemiological and evolutionary analyses of phytopathogenic Xanthomonas citri

Xanthomonas citri subspecies citri (XCC) is the cause of bacterial citrus canker, responsible for major economic losses to the citrus industry that includes sweet orange, lime and grapefruit production in regions including South America, United States, China and Japan. Other X. citri subsp. and pathovars are responsible for diseases in crops such as soy bean, common bean, mango, pomegranate and cashew. Tracing the spread of X. citri disease has been performed using several different typing methods over the years but recent studies using genomic sequencing have been key to understanding evolutionary relationships within the species including fundamental differences between XCC pathotypes. In this study we developed a core genome multilocus typing scheme (cgMLST) for X. citri based upon 250 genomes comprising multiple examples of X. citri subsp. citri pathotypes A, A* and Aw, X. citri subsp. malvacearum and X. citri pathovars aurantifolii, fuscans, glycines, malvacearum, mangiferaeindicae, viticola, vignicola and single isolates of X. citri pathovars dieffenbachiae and punicae. This dataset included genomic sequencing of 100 novel XCC isolates. The cgMLST scheme, based upon 1618 core genes across 250 genomes, has been implemented at PubMLST (https://pubmlst.org/organisms/xanthomonas-citri/). Grapetree minimum-spanning, and iTOL Neighbour-joining phylogenies generated from cgMLST data resolved almost identical groupings of isolates to a core genome SNP - based neighbour joining phylogeny taking 4 min, 15 min and 36 h respectively. These resolved identical groupings of XCC pathotypes and X. citri subsp. and pathovars. X. citri cgMLST should prove to be an increasingly valuable resource for the study of this key species of plant pathogenic bacteria. Users can submit genomic and associated metadata to compare with previously characterised isolates at PubMLST.org to allow rapid characterization of local, national and global epidemiology of these pathogens and examine evolutionary relationships.

microbiology↗