Suppr超能文献

与药用植物L.相关的可培养细菌微生物群:从抗生素抗性到生长抑制特性

The Cultivable Bacterial Microbiota Associated to the Medicinal Plant L.: From Antibiotic Resistance to Growth-Inhibitory Properties.

作者信息

Castronovo Lara Mitia, Calonico Carmela, Ascrizzi Roberta, Del Duca Sara, Delfino Vania, Chioccioli Sofia, Vassallo Alberto, Strozza Iolanda, De Leo Marinella, Biffi Sauro, Bacci Giovanni, Bogani Patrizia, Maggini Valentina, Mengoni Alessio, Pistelli Luisa, Lo Nostro Antonella, Firenzuoli Fabio, Fani Renato

机构信息

Department of Biology, University of Florence, Sesto Fiorentino, Italy.

Department of Health Sciences, University of Florence, Florence, Italy.

出版信息

Front Microbiol. 2020 May 8;11:862. doi: 10.3389/fmicb.2020.00862. eCollection 2020.

Abstract

The insurgence of antibiotic resistance and emergence of multidrug-resistant (MDR) pathogens prioritize research to discover new antimicrobials. In this context, medicinal plants produce bioactive compounds of pharmacological interest: some extracts have antimicrobial properties that can contrast different pathogens. For such a purpose, L. (Lamiaceae family) is a medicinal aromatic plant, whose essential oil (EO) is recognized for its antiseptic, antimicrobial and antiviral activities. The cultivable bacteria from different compartments (i.e., flower, leaf, stem and soil) were isolated in order to: (i) characterize the bacterial microbiota associated to the plant, determining the forces responsible for the structuring of its composition (by evaluation of cross inhibition); (ii) investigate if bacterial endophytes demonstrate antimicrobial activities against human pathogens. A pool of plants belonging to species was collected and the specimen chemotype was defined by hydrodistillation of its essential oil. The isolation of plant associated bacteria was performed from the four compartments. Microbiota was further characterized through a culture-independent approach and next-generation sequencing analysis, as well. Isolates were molecularly typed by Random Amplified Polymorphic DNA (RAPD) profiling and taxonomically assigned by 16S rRNA gene sequencing. Antibiotic resistance profiles of isolates and pairwise cross-inhibition of isolates on agar plates (i.e., antagonistic interactions) were also assessed. High level of diversity of bacterial isolates was detected at both genus and strain level in all different compartments. Most strains were tolerant against common antibiotics; moreover, they produced antagonistic patterns of interactions mainly with strains from different compartments with respect to that of original isolation. Strains that exhibited high inhibitory properties were further tested against human pathogens, revealing a strong capacity to inhibit the growth of strains resistant to several antibiotics. In conclusion, this study regarded the characterization of L. chemotype and of the bacterial communities associated to this medicinal plant, also allowing the evaluation of antibiotic resistance and antagonistic interactions. This study provided the bases for further analyses on the possible involvement of endophytic bacteria in the production of antimicrobial molecules that could have an important role in clinical and therapeutic applications.

摘要

抗生素耐药性的激增和多重耐药(MDR)病原体的出现使得发现新型抗菌药物的研究成为当务之急。在此背景下,药用植物产生具有药理学意义的生物活性化合物:一些提取物具有抗菌特性,可对抗不同病原体。为此,唇形科的罗勒属植物是一种药用芳香植物,其精油(EO)因其防腐、抗菌和抗病毒活性而闻名。为了:(i)表征与该植物相关的细菌微生物群,确定负责其组成结构的因素(通过交叉抑制评估);(ii)研究细菌内生菌是否对人类病原体具有抗菌活性,从不同部位(即花、叶、茎和土壤)分离可培养细菌。收集了一批属于罗勒属物种的植物,并通过水蒸馏其精油来确定标本的化学型。从四个部位进行与植物相关细菌的分离。微生物群也通过非培养方法和下一代测序分析进行了进一步表征。分离株通过随机扩增多态性DNA(RAPD)分析进行分子分型,并通过16S rRNA基因测序进行分类鉴定。还评估了分离株的抗生素耐药谱以及在琼脂平板上分离株之间的成对交叉抑制(即拮抗相互作用)。在所有不同部位的属和菌株水平均检测到细菌分离株的高度多样性。大多数菌株对常见抗生素具有耐受性;此外,它们产生的拮抗相互作用模式主要是与来自与原始分离部位不同的部位的菌株。对表现出高抑制特性的菌株进一步测试其对人类病原体的作用,结果显示其具有强大的抑制对多种抗生素耐药菌株生长的能力。总之,本研究对罗勒属植物的化学型以及与这种药用植物相关的细菌群落进行了表征,还评估了抗生素耐药性和拮抗相互作用。本研究为进一步分析内生细菌在抗菌分子生产中的可能作用提供了基础,这些抗菌分子在临床和治疗应用中可能发挥重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/854f/7226918/f5b364476e43/fmicb-11-00862-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验