烟草野火病中的叶层微生物群落结构和碳源代谢功能。

IF 4.6 2区 医学 Q2 IMMUNOLOGY
Frontiers in Cellular and Infection Microbiology Pub Date : 2024-11-01 eCollection Date: 2024-01-01 DOI:10.3389/fcimb.2024.1458253
Xia Xu, Liang Zhao, Yanfei Chen, Hancheng Wang, Liuti Cai, Yanyan Wang, Nalin N Wijayawardene, Weihua Pan, Feng Wang, Yingqian Kang
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引用次数: 0

摘要

烟草植物叶层微生物组成受多种因素影响。病害严重程度是主要影响因素之一。本研究旨在了解不同病害严重程度的烟草野火病微生物群落。研究收集了病害严重程度为 1、5、7 和 9 级(L1、L5、L7 和 L9)的烟草叶片;收集了每个级别的健康叶片和病叶组织。利用高通量技术和 Biolog Eco 比较了不同病害严重程度烟叶的群落结构和多样性。结果表明,在所有健康烟叶和病叶中,最主要的细菌门是变形菌门,其中假单胞菌属的流行率较高;假单胞菌的相对丰度在 B9 病叶样本中最高。子囊菌门(Ascomycota)是最主要的真菌门,主要菌属为 Blastobotrys。在细菌群落中,健康样本的阿尔法多样性高于患病样本。在真菌群落中,健康样本和患病样本的 Alpha 多样性差异不显著。LEFSe分析表明,疾病样本中最富集的细菌生物标志物是未分类的伽马蛋白杆菌;健康样本中最富集的细菌生物标志物是未分类的钙源菌。FUNGuild分析表明,在健康样本和较低的病害样本中,嗜液菌是主要的模式,病害程度高时,病原菌-嗜液菌和病原菌-嗜液菌-共生菌的丰度增加。PICRUSt 分析表明,最主要的途径是代谢功能,大多数细菌基因序列似乎与疾病严重程度无关。Biolog Eco 结果表明,碳源利用率随着疾病严重程度的增加而降低。本研究揭示了不同病害严重程度下烟草野火病微生物群落的特征,为烟草野火病的防治提供了科学参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phyllospheric microbial community structure and carbon source metabolism function in tobacco wildfire disease.

The phyllospheric microbial composition of tobacco plants is influenced by multiple factors. Disease severity level is one of the main influencing factors. This study was designed to understand the microbial community in tobacco wildfire disease with different disease severity levels. Tobacco leaves at disease severity level of 1, 5, 7, and 9 (L1, L5, L7, and L9) were collected; both healthy and diseased leaf tissues for each level were collected. The community structure and diversity in tobacco leaves with different disease severity levels were compared using high-throughput technique and Biolog Eco. The results showed that in all healthy and diseased tobacco leaves, the most dominant bacterial phylum was Proteobacteria with a high prevalence of genus Pseudomonas; the relative abundance of Pseudomonas was most found at B9 diseased samples. Ascomycota represents the most prominent fungal phylum, with Blastobotrys as the predominant genus. In bacterial communities, the Alpha diversity of healthy samples was higher than that of diseased samples. In fungal community, the difference in Alpha diversity between healthy and diseased was not significant. LEfSe analysis showed that the most enriched bacterial biomarker was unclassified_Gammaproteobacteria in diseased samples; unclassified_Alcaligenaceae were the most enrich bacterial biomarker in healthy samples. FUNGuild analysis showed that saprotroph was the dominated mode in health and lower diseased samples, The abundance of pathotroph-saprotroph and pathotroph-saprotroph-symbiotroph increases at high disease levels. PICRUSt analysis showed that the predominant pathway was metabolism function, and most bacterial gene sequences seem to be independent of the disease severity level. The Biolog Eco results showed that the utilization rates of carbon sources decrease with increasing disease severity level. The current study revealed the microbial community's characteristic of tobacco wildfire disease with different disease severity levels, providing scientific references for the control of tobacco wildfire disease.

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来源期刊
CiteScore
7.90
自引率
7.00%
发文量
1817
审稿时长
14 weeks
期刊介绍: Frontiers in Cellular and Infection Microbiology is a leading specialty journal, publishing rigorously peer-reviewed research across all pathogenic microorganisms and their interaction with their hosts. Chief Editor Yousef Abu Kwaik, University of Louisville is supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. Frontiers in Cellular and Infection Microbiology includes research on bacteria, fungi, parasites, viruses, endosymbionts, prions and all microbial pathogens as well as the microbiota and its effect on health and disease in various hosts. The research approaches include molecular microbiology, cellular microbiology, gene regulation, proteomics, signal transduction, pathogenic evolution, genomics, structural biology, and virulence factors as well as model hosts. Areas of research to counteract infectious agents by the host include the host innate and adaptive immune responses as well as metabolic restrictions to various pathogenic microorganisms, vaccine design and development against various pathogenic microorganisms, and the mechanisms of antibiotic resistance and its countermeasures.
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