Publications

4368

Citrus huanglongbing (HLB) or greening is one of the most devastating diseases of citrus worldwide. Sensitive detection of its causal agent, ‘Candidatus Liberibacter asiaticus’ (CLas), is critical for early diagnosis and successful management of HLB. However, current nucleic acid–based detection methods are often insufficient for the early detection of CLas from asymptomatic tissue and unsuitable for high-throughput and field-deployable diagnosis of HLB. Here we report the development of the Cas12a-based DNA endonuclease-targeted CRISPR trans reporter (DETECTR) assay for highly specific and sensitive detection of CLas nucleic acids from infected samples. The DETECTR assay, which targets the five-copy nrdB gene specific to CLas, couples isothermal amplification with Cas12a transcleavage of a fluorescent reporter oligonucleotide and enables detection of CLas nucleic acids at the attomolar level. The DETECTR assay was capable of specifically detecting the presence of CLas across different infected citrus, periwinkle, and psyllid samples and shown to be compatible with lateral flow assay technology for potential field-deployable diagnosis. The improvements in detection sensitivity and flexibility of the DETECTR technology position the assay as a potentially suitable tool for early detection of CLas in infected regions.

AbstractIn recent years, empty or poor grain bearing corn plants with leaf reddening symptoms have been observed in some commercial maize production areas in the Adana province of Turkey. The disease is increasing and causing economic losses. To verify the possible presence of phytoplasmas, leaf samples were tested with P1/Tint and R16F2n/R2 phytoplasma‐specific primer pairs after DNA extraction. The 16S ribosomal gene sequence analysis followed by sequence in silico enzyme digestions and phylogenetic analyses allowed the identification of ‘Candidatus Phytoplasma solani’, subgroup of 16SrXII‐A related‐strain in all symptomatic samples. The positive samples were characterized using tuf and vmp1 genes. In silico restriction fragment length polymorphism and sequence analyses allowed the inclusion of all the positive samples into tuf‐type b and V15 molecular types. The sequence analysis indicated the presence of a single genotype in all the tested samples (n = 12). This is the first molecular characterization of a ‘Ca. P. solani’ strain infecting maize plants in Turkey. The identified pathogen is listed in the EPPO A2 list.

Autophagy, also known as type II programmed cell death, is a cellular mechanism of “self-eating”. Autophagy plays an important role against pathogen infection in numerous organisms. Recently, it has been demonstrated that autophagy can be activated and even manipulated by plant viruses to facilitate their transmission within insect vectors. However, little is known about the role of autophagy in the interactions of insect vectors with plant bacterial pathogens. ‘Candidatus Liberibacter solanacearum’ (Lso) is a phloem-limited Gram-negative bacterium that infects crops worldwide. Two Lso haplotypes, LsoA and LsoB, are transmitted by the potato psyllid, Bactericera cockerelli and cause damaging diseases in solanaceous plants (e.g., zebra chip in potatoes). Both LsoA and LsoB are transmitted by the potato psyllid in a persistent circulative manner: they colonize and replicate within psyllid tissues. Following acquisition, the gut is the first organ Lso encounters and could be a barrier for transmission. In this study, we annotated autophagy-related genes (ATGs) from the potato psyllid transcriptome and evaluated their expression in response to Lso infection at the gut interface. In total, 19 ATGs belonging to 17 different families were identified. The comprehensive expression profile analysis revealed that the majority of the ATGs were regulated in the psyllid gut following the exposure or infection to each Lso haplotype, LsoA and LsoB, suggesting a potential role of autophagy in response to Lso at the psyllid gut interface.

Thousands of new bacterial and archaeal species and higher-level taxa are discovered each year through the analysis of genomes and metagenomes. The Genome Taxonomy Database (GTDB) provides hierarchical sequence-based descriptions and classifications for new and as-yet-unnamed taxa. However, bacterial nomenclature, as currently configured, cannot keep up with the need for new well-formed names. Instead, microbiologists have been forced to use hard-to-remember alphanumeric placeholder labels. Here, we exploit an approach to the generation of well-formed arbitrary Latinate names at a scale sufficient to name tens of thousands of unnamed taxa within GTDB. These newly created names represent an important resource for the microbiology community, facilitating communication between bioinformaticians, microbiologists and taxonomists, while populating the emerging landscape of microbial taxonomic and functional discovery with accessible and memorable linguistic labels.