Lee Yejin, Ko Youn Min, Kwak Youn-Sig
Division of Applied Life Science (BK21Plus), Gyeongsang National University, Jinju 52828, Korea.
Department of Plant Medicine and Institute of Agriculture and Life Science, Gyeongsang National University, Jinju 58282, Korea.
Plant Pathol J. 2025 Jun;41(3):380-391. doi: 10.5423/PPJ.OA.03.2025.0040. Epub 2025 Jun 1.
Fire blight disease, caused by Erwinia amylovora, occurs in apples and other Rosaceae plants and is known to cause significant economic damage. The pathogen usually infects flowers during the reproductive growth period of plants, colonizes, and penetrates by producing exopolysaccharides in the stigma. A synthetic microbial community (SynCom) is an artificial community of microorganisms designed to enhance host viability. To construct SynCom, we attempted to identify and utilize the microbial characteristics of apple trees that are not infected with the pathogen compared to those that are infected. In our previous study, we composed SynCom with strains expected to reduce the density of fire blight pathogens through microbiome analysis, strain isolation, and continuous replacement culture. We are able to observe the disease control effect of the constructed SynCom. However, no study has been conducted to clearly determine the genetic mechanism underlying this effect of the SynCom. Here, we present that potential secondary metabolite candidates and nutritional competition with the pathogen were confirmed as biochemical mechanisms through whole genome analysis of SynCom strains. Additionally, by co-cultivating SynCom with the pathogen in limited nutrient conditions, such as apple blossom extracts, which are susceptible to the pathogen, we confirmed the potential of SynCom treatment to reduce the pathogen densities. This study demonstrates that genetic selection using metagenomics can effectively identify microorganisms with potential functional capabilities.
由解淀粉欧文氏菌引起的火疫病发生在苹果和其他蔷薇科植物中,已知会造成重大经济损失。该病原菌通常在植物的生殖生长期感染花朵,通过在柱头产生胞外多糖进行定殖和侵入。合成微生物群落(SynCom)是一种旨在提高宿主活力的人工微生物群落。为了构建SynCom,我们试图识别和利用与受感染苹果树相比未受病原菌感染的苹果树的微生物特征。在我们之前的研究中,我们通过微生物组分析、菌株分离和连续替代培养,用预期能降低火疫病病原菌密度的菌株组成了SynCom。我们能够观察到所构建的SynCom的病害控制效果。然而,尚未有研究明确确定SynCom这种效果背后的遗传机制。在此,我们表明,通过对SynCom菌株进行全基因组分析,潜在的次生代谢物候选物以及与病原菌的营养竞争被确认为生化机制。此外,通过在有限营养条件下,如易受病原菌侵染的苹果花提取物中,将SynCom与病原菌共培养,我们证实了SynCom处理降低病原菌密度的潜力。这项研究表明,使用宏基因组学进行遗传选择可以有效地识别具有潜在功能能力的微生物。