Zhang, Ling


Publications
3

Biological Features and In Planta Transcriptomic Analyses of a Microviridae Phage (CLasMV1) in “Candidatus Liberibacter asiaticus”

Citation
Wang et al. (2022). International Journal of Molecular Sciences 23 (17)
Names
Ca. Liberibacter asiaticus
Abstract
“Candidatus Liberibacter asiaticus” (CLas) is the causal agent of citrus Huanglongbing (HLB, also called citrus greening disease), a highly destructive disease threatening citrus production worldwide. A novel Microviridae phage (named CLasMV1) has been found to infect CLas, providing a potential therapeutic strategy for CLas/HLB control. However, little is known about the CLasMV1 biology. In this study, we analyzed the population dynamics of CLasMV1 between the insect vector of CLas, the Asian c
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A Novel Microviridae Phage (CLasMV1) From “Candidatus Liberibacter asiaticus”

Citation
Zhang et al. (2021). Frontiers in Microbiology 12
Names
Ca. Liberibacter asiaticus
Abstract
“CandidatusLiberibacter asiaticus” (CLas) is an unculturable phloem-limited α-proteobacterium associated with citrus Huanglongbing (HLB; yellow shoot disease). HLB is currently threatening citrus production worldwide. Understanding the CLas biology is critical for HLB management. In this study, a novel single-stranded DNA (ssDNA) phage, CLasMV1, was identified in a CLas strain GDHZ11 from Guangdong Province of China through a metagenomic analysis. The CLasMV1 phage had a circular genome of 8,869
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Establishment of a Cuscuta campestris ‐mediated enrichment system for genomic and transcriptomic analyses of ‘ Candidatus Liberibacter asiaticus’

Citation
Li et al. (2021). Microbial Biotechnology 14 (2)
Names
Ca. Liberibacter asiaticus
Abstract
Summary ‘ Candidatus Liberibacter asiaticus’ (CLas) is a phloem‐limited non‐culturable α‐proteobacterium associated with citrus Huanglongbing, a highly destructive disease threatening global citrus industry. Research on CLas is challenging due to the current inability to culture CLas in vitro and the low CLas titre in citrus plant. Here, we develop a CLas enrichment system using
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