title: Metagenome or environmental sample from rhizosphere metagenome
organism: rhizosphere metagenome
description: This dataset comprises 16S rRNA gene amplicon sequencing data derived from the rhizosphere soil of 15 individual Gannan Newhall navel orange (Citrus sinensis Osbeck) trees, a high-value perennial crop. The samples were collected from two geographically distinct commercial orchards in Ganzhou City, Jiangxi Province, China, during the peak fruit ripening period. The primary objective of this study was to decipher the complex relationships between the structure of the rhizosphere microbial community and key fruit quality traits, such as sugar content, acidity, and vitamin C levels. By employing advanced co-occurrence network analysis, we moved beyond standard diversity metrics to reveal how soil microbes are organized into tightly knit, functional groups (modules). Our analysis identified specific microbial modules and keystone taxa (e.g., Aquicella, Silvanigrella) that are strongly correlated with fruit quality. A key finding is that fruit quality appears to be a net outcome of both synergistic and antagonistic interactions among microbes within these modules, rather than being driven by single species. This resource provides a valuable blueprint for understanding how the root-associated microbiome influences fruit production in perennial trees. It offers critical insights and candidate microbes for future strategies aimed at enhancing crop quality sustainably through the targeted management of the rhizosphere ecosystem.
attributes.tag: host
attributes.value: Citrus sinensis
attributes.tag: collection_date
attributes.value: 2023-12
attributes.tag: geo_loc_name
attributes.value: China: Jiangxi, Ganzhou
attributes.tag: lat_lon
attributes.value: 25.748615 N 114.779381 E
attributes.tag: BioSampleModel
attributes.value: Metagenome or environmental