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食用蔬菜作物内生细菌群落多样性和功能结构的高通量测序分析:对植物微生物质量的潜在影响

High-throughput sequencing analysis of community diversity and functional structure of endophytic bacteria in edible vegetable crops: potential implication on plant microbiological quality.

作者信息

Raimi Adekunle, Adeleke Rasheed

机构信息

Unit for Environmental Sciences and Management, North-West University, Potchefstroom, 2520 South Africa.

出版信息

3 Biotech. 2025 Jul;15(7):216. doi: 10.1007/s13205-025-04380-9. Epub 2025 Jun 17.

Abstract

UNLABELLED

This study evaluated the diversity and functional structure of endophytic bacterial communities residing within four common leafy vegetables: and , cultivated under organic (OF) and conventional (CF) farming systems. Utilizing high-throughput 16S rRNA gene sequencing and the PICRUSt2 pipeline, the research assessed the influence of plant species, organ (leaf/root), and fertilizer type on these microbial communities. Findings revealed that plant species and organ type significantly shaped endophytic bacterial community composition and diversity. Onion communities were distinct, and roots exhibited higher diversity and richness compared to leaves. Fertilizer type significantly impacted overall bacterial diversity, with CF farms showing higher diversity than OF. Microbial network analysis identified keystone taxa, including network hubs like and , and module hubs like , , and . Functional predictions indicated diverse metabolic capabilities, with organ type significantly affecting pathway abundance (leaves enriched in carbohydrate degradation, roots in nutrient metabolism/degradation). OF farms showed higher predicted abundance of some potential virulence pathways, while CF farms had higher abundance of certain biotechnological pathways. Vegetable nutrient content significantly correlated with both bacterial community composition and predicted metabolic pathways. This study highlights the complex interplay between farming practices, plant factors, endophytic microbiomes, and their functional potential, underscoring implications for vegetable microbiological quality and potential human health.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s13205-025-04380-9.

摘要

未标注

本研究评估了四种常见叶菜类蔬菜([蔬菜名称1]和[蔬菜名称2])中内生细菌群落的多样性和功能结构,这些蔬菜种植于有机(OF)和传统(CF)耕作系统之下。利用高通量16S rRNA基因测序和PICRUSt2管道,该研究评估了植物种类、器官(叶/根)和肥料类型对这些微生物群落的影响。研究结果表明,植物种类和器官类型显著影响内生细菌群落的组成和多样性。洋葱群落各不相同,且根的多样性和丰富度高于叶。肥料类型显著影响总体细菌多样性,CF农场的多样性高于OF农场。微生物网络分析确定了关键分类群,包括像[分类群名称1]和[分类群名称2]这样的网络枢纽,以及像[分类群名称3]、[分类群名称4]和[分类群名称5]这样的模块枢纽。功能预测表明存在多种代谢能力,器官类型显著影响途径丰度(叶中富含碳水化合物降解途径,根中富含营养代谢/降解途径)。OF农场中一些潜在毒力途径的预测丰度较高,而CF农场中某些生物技术途径的丰度较高。蔬菜营养成分与细菌群落组成和预测的代谢途径均显著相关。本研究突出了耕作方式、植物因素、内生微生物群及其功能潜力之间的复杂相互作用,强调了对蔬菜微生物质量和潜在人类健康的影响。

补充信息

在线版本包含可在10.1007/s13205-025-04380-9获取的补充材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39dd/12174041/f6c44f505d40/13205_2025_4380_Fig1_HTML.jpg

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