Evaluation of Prophage Gene Revealed Population Variation of ‘Candidatus Liberibacter Asiaticus’: Bacterial Pathogen of Citrus Huanglongbing (HLB) in Northern Thailand

‘Candidatus Liberibacter asiaticus’ is a non-culturable bacterial pathogen, the causal agent of Huanglongbing (HLB, yellow shoot disease, also known as citrus greening disease), a highly destructive disease of citrus (Rutaceae). The pathogen is transmitted by the Asian citrus psyllid: Diaphorina citri Kuwayama. Recent studies, have shown that the HLB pathogen has two prophages, SC1 that has a lytic cycle and SC2 associated with bacterial virulence. This study aimed to search for SC1 and SC2 prophages of HLB in mandarin orange, sweet orange, bitter orange, kumquat, key lime, citron, caviar lime, kaffir lime, pomelo and orange jasmine from five provinces in Northern Thailand. A total of 216 samples collected from Northern Thailand during 2019 and 2020 were studied. The results revealed that 62.04% (134/216) citrus samples were infected with the ‘Ca. L. asiaticus’ the bacterial pathogen associated with citrus HLB. The prophage particles are important genetic elements of bacterial genomes that are involved in lateral gene transfer, pathogenicity, environmental adaptation and interstrain genetic variability. Prophage particles were evaluated in the terminase gene of SC1 and SC2-type prophages. The results of the analysis of the prophage terminase genes of SC1 and SC2 revealed four groups of samples in Northern Thailand.The first group was the population of ‘Ca. L. asiaticus’ which was non-prophage; the frequency was 7.46% (10/134) from the total infected citrus samples. The second and third groups contained one prophage sequence with 1.49% (2/134) containing SC1-type prophage and 64.93% (87/134) containing SC2-type prophage. The fourth group contained both prophage sequence with 26.12% (35/134) containing SC1 and SC2-type prophages.Samples of leaves showing various HLB symptoms were collected from infected citrus trees which correlated with the prophages. In the first group (non-prophage) the symptoms were much less severe than other groups which had prophages. On the other hand, the third group containing the SC2-type prophage and fourth group containing SC1 and SC2-type prophages showed the most severe symptoms. The evaluation of the prophage effect on HLB-induced leaf symptoms showed that isolates with the SC2-type prophage particles produced the most severe symptoms.

First Description of a Temperate Bacteriophage (vB_FhiM_KIRK) of Francisella hispaniensis Strain 3523

Here we present the characterization of a Francisella bacteriophage (vB_FhiM_KIRK) including the morphology, the genome sequence and the induction of the prophage. The prophage sequence (FhaGI-1) has previously been identified in F. hispaniensis strain 3523. UV radiation induced the prophage to assemble phage particles consisting of an icosahedral head (~52 nm in diameter), a tail of up to 97 nm in length and a mean width of 9 nm. The double stranded genome of vB_FhiM_KIRK contains 51 open reading frames and is 34,259 bp in length. The genotypic and phylogenetic analysis indicated that this phage seems to belong to the Myoviridae family of bacteriophages. Under the conditions tested here, host cell (Francisella hispaniensis 3523) lysis activity of KIRK was very low, and the phage particles seem to be defective for infecting new bacterial cells. Nevertheless, recombinant KIRK DNA was able to integrate site-specifically into the genome of different Francisella species after DNA transformation.

Phigaro: high-throughput prophage sequence annotation

Summary Phigaro is a standalone command-line application that is able to detect prophage regions taking raw genome and metagenome assemblies as an input. It also produces dynamic annotated ‘prophage genome maps’ and marks possible transposon insertion spots inside prophages. It is applicable for mining prophage regions from large metagenomic datasets. Availability and implementation Source code for Phigaro is freely available for download at https://github.com/bobeobibo/phigaro along with test data. The code is written in Python. Supplementary information Supplementary data are available at Bioinformatics online.

Large Phenotypic and Genetic Diversity of Prophages Induced from the Fish Pathogen Vibrio anguillarum

Vibrio anguillarum is a marine pathogenic bacterium that causes vibriosis in fish and shellfish. Although prophage-like sequences have been predicted in V. anguillarum strains, many are not characterized, and it is not known if they retain the functional capacity to form infectious particles that can infect and lysogenize other bacterial hosts. In this study, the genome sequences of 28 V. anguillarum strains revealed 55 different prophage-related elements. Chemical and spontaneous induction allowed a collection of 42 phage isolates, which were classified in seven different groups according to a multiplex PCR assay. One shared prophage sequence, p41 (group III), was present in 17 V. anguillarum strains, suggesting that this specific element is very dynamically exchanged among V. anguillarum populations. Interestingly, the host range of genetically identical phages was highly dependent on the strains used for proliferation, indicating that phenotypic properties of phages were partly regulated by the host. Finally, experimental evidence displayed that the induced phage ɸVa_90-11-287_p41 was able to lysogenize V. anguillarum strain Ba35, and subsequently spontaneously become released from the lysogenized cells, demonstrating an efficient transfer of the phage among V. anguillarum strains. Altogether, the results showed large genetic and functional diversity and broad distribution of prophages in V. anguillarum, and demonstrated the potential of prophages as drivers of evolution in V. anguillarum strains.

Phigaro: high throughput prophage sequence annotation

SummaryPhigaro is a standalone command-line application that is able to detect prophage regions taking raw genome and metagenome assemblies as an input. It also produces dynamic annotated “prophage genome maps” and marks possible transposon insertion spots inside prophages. It provides putative taxonomic annotations that can distinguish tailed from non-tailed phages. It is applicable for mining prophage regions from large metagenomic datasets.AvailabilitySource code for Phigaro is freely available for download at https://github.com/bobeobibo/phigaro along with test data. The code is written in Python.

ProphET, Prophage Estimation Tool: a standalone prophage sequence prediction tool with self-updating reference database

Prophages are a significant force in prokaryote evolution. The remaining sequences of a bacteriophage integration event are known for altering gene expression, enabling creative destruction of the bacterial genome and to induce pathogenicity by harboring and transposing virulence and antibiotic resistance factors. In the light of the dreadful expansion of antibiotic resistance bacteriophages have gathered renewed interest from the scientific community and public health decision makers as a promising long forgotten alternative to control bacterial infections. Cataloging the repertoire of prophages and their integration sites is an important initial step in the understanding of bacteriophages either as tool or as a threat. In this work, we present ProphET (Prophage Estimation Tool), a standalone application without the limitations of their web based counterparts and which identifies prophages in bacterial genomes with higher precision than similar applications.