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ABSTRACT Emerging research indicates that plant-associated microbes can alter plant developmental timing. However, it is unclear if host phenology affects microbial community assembly. Microbiome studies in annual or deciduous perennial plants face challenges in separating effects of tissue age from phenological driven effects on the microbiome. In contrast, evergreen perennial trees, like Citrus sinensis, retain leaves for years, allowing for uniform sampling of similarly aged leaves from the same developmental cohort. This aids in separating phenological effects on the microbiome from impacts due to annual leaf maturation/senescence. Here, we used this system to test the hypothesis that host phenology acts as a driver of microbiome composition. Citrus sinensis leaves and roots were sampled during seven phenological stages. Using amplicon-based sequencing, followed by diversity, phylogenetic, differential abundance, and network analyses, we examined changes in bacterial and fungal communities. Host phenological stage is the main determinant of microbiome composition, particularly within the foliar bacteriome. Microbial enrichment/depletion patterns suggest that microbial turnover and dispersal were driving these shifts. Moreover, a subset of community shifts were phylogenetically conserved across bacterial clades, suggesting that inherited traits contribute to microbe-microbe and/or plant-microbe interactions during specific phenophases. Plant phenology influences microbial community composition. These findings enhance understanding of microbiome assembly and identify microbes that potentially influence plant development and reproduction. IMPORTANCE Research at the forefront of plant microbiome studies indicates that plant-associated microbes can alter the timing of plant development (phenology). However, it is unclear if host phenological stage affects microbial community assembly. Microbiome studies in annual or deciduous perennial plants can face difficulty in separating effects of tissue age from phenological driven effects on the microbiome. Evergreen perennial plants, like sweet orange, maintain mature leaves for multiple years, allowing for uniform sampling of similarly aged tissue across host reproductive stages. Using this system, multiyear sampling, and high-throughput sequencing, we identified plant phenology as a major driver of microbiome composition, particularly within the leaf-associated bacterial communities. Distinct changes in microbial patterns suggest that microbial turnover and dispersal are mechanisms driving these community shifts. Additionally, closely related bacteria have similar abundance patterns across plant stages, indicating that inherited microbial traits may influence how bacteria respond to host developmental changes. Overall, this study illustrates that plant phenology does indeed govern microbiome seasonal shifts and identifies microbial candidates that may affect plant reproduction and development.

Plant microbiomes are critical components to plant health and can influence disease outcomes. We provide empirical data describing disease-induced shifts within the citrus microbiome at different levels of huanglongbing (HLB) disease severity. HLB is associated with an invasive phloem-limited bacterium, ‘Candidatus Liberibacter asiaticus’, that is introduced into the aerial portions of the tree by an insect vector. Disease manifests as aboveground foliar and fruit symptoms and significant root decline belowground. During the early phase of disease, there were depletions of putative keystone taxa in leaves and roots, followed by enrichments of putative beneficial taxa, suggesting a microbially derived immune response involved in plant protection that is ancillary to immune components encoded in the plant’s genome. In the late phase of disease, we observed enrichments of parasitic and saprophytic microorganisms, particularly in the roots. The community shifts within the root compartment are emblematic of a disease-induced dysbiosis where pathogens other than ‘Ca. L. asiaticus’ begin to dominate the community. Furthermore, we define key taxa enriched in trees with a slower rate of disease development, referred to as survivor trees, that are hallmarks of those found in trees in the early phase of disease that may be drivers of the survivor tree phenotype. We propose a disease ecology model that illustrates the relationship between the pathogen, the microbiome, and the host plant that highlights microorganisms that may serve as disease facilitators or antagonists.

Citrus production throughout the world is being severely threatened by Huanglongbing (HLB), which is a disease associated with the bacteria ‘Candidatus Liberibacter asiaticus’ (CLas), africanus, and americanus. This Resource Announcement provides amplicon-based next generation sequencing (NGS) datasets of the bacterial and fungal rRNA internal transcribed spacer (ITS) region from CLas-infected citrus budwood, leaves, and roots from five orchards located in different geographical regions in Florida (USA). To our knowledge, this is the first amplicon-based NGS study (i) that describes the fungal taxa associated with citrus and (ii) that provides comparative analyses of the bacterial and fungal taxa associated with budwood, leaves, and roots from the same citrus trees. This report also provides the sample metadata linked to these sequence datasets including HLB severity rating, tissue type, citrus rootstock, citrus scion, geographical region, and year trees were planted. When analyzed with other similar datasets, we anticipate that researchers will be able to obtain a greater understanding of the factors that shape the citrus microbiome as well as identify individual microorganisms or consortia of microorganisms that play a role in HLB suppression or exacerbation.