Publications

4537

IntroductionHuanglongbing (HLB), a disease that’s ubiquitous worldwide, wreaks havoc on the citrus industry. The primary culprit of HLB is the gram-negative bacterium Candidatus Liberibacter asiaticus (CLas) that infects the phloem, but its damaging mechanism is yet to be fully understood.Methods and resultsIn this study, a multitude of tools including weighted correlation network analysis (WGCNA), protein-protein interaction (PPI) network analysis and gene expression profiling are employed to unravel the intricacies of its pathogenesis. The investigation pinpoints various central genes, such as the ethylene-responsive transcription factor 9 (ERF9) and thioredoxin reductase 1 (TrxR1), that are associated with CLas invasion and resultant disturbances in numerous biological operations. Additionally, the study uncovers a range of responses through the detection of differential expressed genes (DEGs) across different experiments. The discovery of core DEGs leads to the identification of pivotal genes such as the sieve element occlusion (SEO) and the wall-associated receptor kinase-like 15 (WAKL15). PPI network analysis highlights potential vital proteins, while GO and KEGG pathway enrichment analysis illustrate a significant impact on multiple defensive and metabolic pathways. Gene set enrichment analysis (GSEA) indicates significant alterations in biological processes such as leaf senescence and response to biotic stimuli.DiscussionThis all-encompassing approach extends valuable understanding into the pathogenesis of CLas, potentially aiding future research and therapeutic strategies for HLB.

Abstract Here, an established approach to the generation of well-formed arbitrary Latinate names at a scale has been adopted and adapted to name tens of thousands of new, but unnamed taxa within GTDB Release r214.1. New Latinate Candidatus names have been created and assigned to two new archaeal and twelve new bacterial phyla; six new archaeal and 48 new bacterial classes; 13 new archaeal and 158 new bacterial orders; 60 new archaeal and 597 new bacterial families; 271 new archaeal and 3,869 new bacterial genera; and 1,097 new archaeal and 18,126 new bacterial species. New Candidatus names for bacterial phyla include Ca. Afuciota, Ca.Axiviota, Ca. Bobupiota, Ca. Fitepiota, Ca. Hubebiota, Ca.Ibociota, Ca. Inuciota, Ca. Luxamiota, Ca. Megaciota, Ca.Nasexiota, Ca. Oviciota, Ca. Ucifiota, and Ca. Uvuciota, while new names for archaeal phyla include Ca. Acigarchota and Ca.Omefarchota. These efforts show that the creation of arbitrary names for prokaryotic taxa remains sustainable, despite the relentless progress of discovery.

The apple orchards in Niğde, Turkiye were surveyed for ‘Candidatus Phytoplasma mali’ associated with apple proliferation disease, and the suspicious samples were tested by PCR-RFLP methods. A comprehensive study was conducted which included sampling from a total of 19 orchards from four different districts. The samples were collected according to the major symptoms of phytoplasma disease which were foliar reddening, witches’ brooms, leaf rosettes, yellowing, longer peduncles and development of undersized fruits. It was determined that six out of 62 plant samples were infected with pyhtoplasma. Also, two out of six infected samples were determined as infected by ‘Ca. P. mali’ and unexpectedly four out of six infected samples were determined as infected by ‘Ca. P. prunorum’ associated with European Stone Fruit Yellows disease. Even if the incidence of the disease (9.7%) was low, the characterized phytoplasmas were considered as a significant potential threat for these locations. Key words: PCR-RFLP Survey, Niğde, Apple proliferation, European stone fruit yellows

ABSTRACT “ Candidatus Liberibacter asiaticus” (CLas), the causal agent of citrus Huanglongbing (HLB), is able to multiply to a high abundance in citrus fruit pith. However, little is known about the biological processes and phytochemical substances that are vital for CLas colonization and growth in fruit pith. In this study, CLas-infected fruit pith of three citrus cultivars (“Shatangju” mandarin, “Guanxi” pomelo, and “Shatian” pomelo) exhibiting different tolerance to CLas were collected and used for dual RNA-Seq and untargeted metabolome analysis. Comparative transcriptome analysis found that the activation of the CLas noncyclic TCA pathway and pathogenic-related effectors could contribute to the colonization and growth of CLas in fruit pith. The pre-established Type 2 prophage in the CLas genome and the induction of its CRISPR/ cas system could enhance the phage resistance of CLas and, in turn, facilitate CLas population growth in fruit pith. CLas infection caused the accumulation of amino acids that were correlated with tolerance to CLas. The accumulation of most sugars and organic acids in CLas-infected fruit pith, which could be due to the phloem blockage caused by CLas infection, was thought to be beneficial for CLas growth in localized phloem tissue. The higher levels of flavonoids and terpenoids in the fruit pith of CLas-tolerant cultivars, particularly those known for their antimicrobial properties, could hinder the growth of CLas. This study advances our understanding of CLas multiplication in fruit pith and offers novel insight into metabolites that could be responsible for tolerance to CLas or essential to CLas population growth. IMPORTANCE Citrus Huanglongbing (HLB, also called citrus greening disease) is a highly destructive disease currently threatening citrus production worldwide. HLB is caused by an unculturable bacterial pathogen, “ Candidatus Liberibacter asiaticus” (CLas). However, the mechanism of CLas colonization and growth in citrus hosts is poorly understood. In this study, we utilized the fruit pith tissue, which was able to maintain the CLas at a high abundance, as the materials for dual RNA-Seq and untargeted metabolome analysis, aiming to reveal the biological processes and phytochemical substances that are vital for CLas colonization and growth. We provided a genome-wide CLas transcriptome landscape in the fruit pith of three citrus cultivars with different tolerance and identified the important genes/pathways that contribute to CLas colonization and growth in the fruit pith. Metabolome profiling identified the key metabolites, which were mainly affected by CLas infection and influenced the population dynamic of CLas in fruit pith.

Citrus greening disease was first reported in Saudi Arabia during the 1970s when characteristic foliar and fruit symptoms were observed in commercial citrus groves. However, ‘Candidatus Liberibacter asiaticus’ (CLas) was not detected in symptomatic trees until 1981 to 1984 when CLas-like cells were observed by transmission electron microscopy in leaves collected from symptomatic citrus groves in southwestern Saudi Arabia. Despite the anticipated establishment of the CLas-Asian citrus psyllid (ACP) (Diaphorina citri Kuwayama) pathosystem, CLas presence has not been verified in suspect trees nor have ACP infestations been documented. Given the recent expansion of citrus production in Saudi Arabia, a systematic country-wide survey was carried out to determine the potential CLas distribution in the 13 citrus-growing regions of the country. Citrus trees were surveyed for the presence of CLas-psyllid vector(s) and characteristic disease symptoms in commercial and urban citrus trees. Adult psyllids collected from infested citrus trees were identified as ACP based on morphological characteristics. Real-time quantitative PCR amplification (qPCR) of the CLas β-subunit of the ribonucleotide reductase (RNR) gene from citrus leaf and fruit samples and/or ACP adults revealed that trees were positive for CLas detection in 10 of the 13 survey regions; however, CLas was undetectable in ACP adults. Phylogenetic and single nucleotide polymorphism (SNP) analyses of a PCR-amplified, cloned fragment of the CLas 16S rRNA gene (∼1.1 kbp) indicated Saudi Arabian isolates were most closely related to Florida, U.S.A., isolates. Analysis of climate variables indicated that the distribution of the ACP-CLas pathosystem observed in Saudi Arabia was consistent with published predictions of terrains most likely to support establishment.