Evidence map›Paper›PMID 41099800›Full record

ArticleMicrobial ecology2025

Endophytic bacterial diversity of Vicatia thibetica collected from Xizang and the association with flavonoid accumulation.

Weihua Zhang, Chao Yang, Kexin Zhao, Manfei Jin, Kezhen Han, Ying Wang, Zhao Jiang

Abstract read
In one paragraph

Article in Microbial ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Weihua Zhang *Plateau Biomedical Big Data Mining and Bioinformatics Analysis Laboratory, Xizang Minzu University, Xianyang, 712082, China.
Chao Yang *Plateau Biomedical Big Data Mining and Bioinformatics Analysis Laboratory, Xizang Minzu University, Xianyang, 712082, China.
Kexin Zhao *Plateau Biomedical Big Data Mining and Bioinformatics Analysis Laboratory, Xizang Minzu University, Xianyang, 712082, China.
Manfei JinPlateau Biomedical Big Data Mining and Bioinformatics Analysis Laboratory, Xizang Minzu University, Xianyang, 712082, China.
Kezhen HanPlateau Biomedical Big Data Mining and Bioinformatics Analysis Laboratory, Xizang Minzu University, Xianyang, 712082, China.
Ying WangPlateau Biomedical Big Data Mining and Bioinformatics Analysis Laboratory, Xizang Minzu University, Xianyang, 712082, China.
Zhao JiangPlateau Biomedical Big Data Mining and Bioinformatics Analysis Laboratory, Xizang Minzu University, Xianyang, 712082, China. zjiang@xzmu.edu.cn.

Funding

National Natural Science Foundation of China 82260759
6 · The paper itself

Abstract

Vicatia thibetica de Boiss is a unique medicinal and edible plant endemic to Xizang, China. It is one of the five primary root medicines in Tibetan medicine due to its high content of flavonoids. However, the community composition of endophytic bacteria in its various tissues and their potential role in flavonoid accumulation remain unclear. We employed high-throughput sequencing to compare the diversity of endophytic bacteria in the rhizosphere soil and various tissues of V. thibetica collected from three sampling sites in Nyingchi, Xizang. Concurrently, we assessed the types and concentrations of flavonoids present in the roots. Finally, we investigated the relationship between root endophytic bacteria and flavonoid accumulation through correlation analysis. The results indicated that the diversity and abundance of bacterial communities in the rhizosphere soil exceeded those of the endophytic bacterial communities of V. thibetica. Proteobacteria is the dominant phylum, and Sphingomonas is the dominant genus. Each tissue of a plant exhibits its dominant genus. PICRUSt predictive analysis revealed that RNA processing and modification were the predominant functions among related species. Targeted metabolomics analysis has revealed that the roots of the plants contain 14 flavonoid compounds. Correlation analysis revealed that the concentrations of flavonoids in the roots, including apigenin, rutin, astragalin, quercetin 3-glucoside, L-epicatechin, kaempferol, and luteolin, are associated with the distribution and abundance of specific bacterial genera, such as Lactobacillus, Kurthia, Bradyrhizobium, Phenylobacterium, Novosphingobium, and Mycobacterium, among others. This finding suggests that these bacterial genera may directly influence the production and accumulation of flavonoids in the plant. Our findings will enhance the understanding of plant-microbe interactions and provide crucial insights into the role of endophytes in the production of V. thibetica and its significant secondary metabolites.

Indexed as

BacteriaEndophytesFlavonoidsSoil MicrobiologyBiodiversityChinaPlant RootsRhizosphereFlavonoids16S metabarcodingCulture-independent techniquesEndophytic bacteriaFlavonoidsTargeted metabolomicsVicatia thibetica

Identifiers

PMID41099800
PMCPMC12532757

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.