Phyllospheric microbial community structure and carbon source metabolism function in tobacco wildfire disease

Front Cell Infect Microbiol. 2024 Nov 1:14:1458253. doi: 10.3389/fcimb.2024.1458253. eCollection 2024.

Abstract

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.

Keywords: biolog-eco; disease severity; high-throughput sequencing; microbial community; tobacco wildfire disease.

MeSH terms

  • Bacteria* / classification
  • Bacteria* / genetics
  • Bacteria* / isolation & purification
  • Bacteria* / metabolism
  • Carbon* / metabolism
  • Fungi / classification
  • Fungi / genetics
  • Fungi / isolation & purification
  • Fungi / metabolism
  • Microbiota* / genetics
  • Nicotiana* / microbiology
  • Phylogeny
  • Plant Diseases* / microbiology
  • Plant Leaves* / microbiology
  • Wildfires

Substances

  • Carbon

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by China National Tobacco Corporation (110202101048(LS-08),110202001035(LS-04)), the 111 Project (D20009), the National Natural Science Foundation of China (32060034, 32160522, 32460051, 32460698), China-Ukraine Intergovernmental Exchange Project (8); Talent Base Project of Guizhou Province, China [RCJD2018-22]; Hundred’ level Innovation Talent Project of Guizhou Province(GCC[2022]036-1, GCC[2022]028-1, GCC[2023]108); Foundation of Key Laboratory of Microbiology and Parasitology of Education Department, Guizhou (QJJ [2022] 019); Guizhou Province Applied Technology Research and Development Funding Post-subsidy Project, Guizhou Science Technology Foundation (Qiankehe Talent Platform – CXTD[2023]021), and Guizhou Tobacco Company Project (2024XM06). International Science and Technology Cooperation Base of Guizhou Province ([2020]4101); Scientists Workstation Guizhou Province (KXJZ[2024]009), Ministry of Education Project (07150120711).