Zagal Daniel, Graham James G, Bisson Jonathan, Green Stefan J, Pauli Guido F
Pharmacognosy Institute and Department of Pharmaceutical Sciences, University of Illinois Chicago College of Pharmacy, Chicago, Illinois, USA.
Genomics and Microbiome Core Facility, Rush University, Chicago, Illinois, USA.
Planta Med. 2024 Dec;90(15):1130-1142. doi: 10.1055/a-2420-0270. Epub 2024 Oct 24.
This exploratory study was designed to identify factors implicating microbial influence on medicinal plant metabolomes. Utilizing a whole-microbiome approach, amplicon sequencing was used to identify the makeup of fungal and bacterial assemblages from endophytic (interior) and epiphytic (external) environments in two different sets of congeneric host-plant pairs, with collection of multiple samples of two medicinal plant species () and two generic analogs (). Diversity analysis of microbial assemblages revealed the influence of three primary factors driving variance in microbial community composition: host-plant taxonomy, the compartmentalization of microbial communities within discrete plant parts, and the scale of distance (microhabitat heterogeneity) between sampling locations. These three factors accounted for ~ 60% of variance within and between investigated microbiomes. Across all our collections, bacterial populations were more diverse than fungi (per compartment), and microbial density in epiphytic compartments (aerial parts, rhizosphere) were higher than those of endophytes (leaf and root). These comparative data point to key loci associated with variation between congeneric pairs and plant genera, providing insight into the complex and contrasting relationships found within this multi-kingdom coevolutionary relationship. Although reflective of only a limited set of botanical source materials, these data document the richness of a relatively unexplored component of the plant world and highlight the relevance of a whole-microbiome ecology-driven approach to botanical research and directed natural product investigations.
这项探索性研究旨在确定微生物对药用植物代谢组产生影响的相关因素。采用全微生物组方法,利用扩增子测序来确定两组不同的同属宿主植物对中内生(内部)和附生(外部)环境中真菌和细菌群落的组成,并采集两种药用植物物种()和两种同属类似物()的多个样本。微生物群落的多样性分析揭示了驱动微生物群落组成差异的三个主要因素的影响:宿主植物分类学、离散植物部分内微生物群落的区室化以及采样地点之间的距离尺度(微生境异质性)。这三个因素占所研究微生物群落内部和之间差异的约60%。在我们所有采集样本中(每个区室),细菌种群比真菌更多样化,附生区室(地上部分、根际)中的微生物密度高于内生菌(叶和根)。这些比较数据指出了与同属对和植物属之间变异相关的关键位点,为深入了解这种多王国共同进化关系中发现的复杂且对比鲜明的关系提供了线索。尽管这些数据仅反映了有限的一组植物源材料,但它们记录了植物世界中一个相对未被探索的组成部分丰富的微生物群落,并强调了全微生物组生态驱动方法在植物研究和定向天然产物研究中的相关性。