SynCom抑制苹果火枯病的遗传和营养动态。

IF 2.5 3区 农林科学 Q2 PLANT SCIENCES
Yejin Lee, Youn Min Ko, Youn-Sig Kwak
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引用次数: 0

摘要

由葡萄霉引起的火疫病发生在苹果和其他蔷薇科植物中,已知会造成重大的经济损失。病原菌通常在植物生殖生长期侵染花,定殖,并通过在柱头中产生外多糖渗透。合成微生物群落(SynCom)是一种旨在提高宿主生存能力的人工微生物群落。为了构建SynCom,我们试图鉴定和利用未感染病原体的苹果树与感染病原体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,将有望降低火疫病病原体密度的菌株组成SynCom。我们可以观察到构建的SynCom的疾病控制效果。然而,目前还没有研究清楚地确定SynCom作用的遗传机制。本研究通过对SynCom菌株的全基因组分析,证实了其潜在的次生代谢物候选物和与病原菌的营养竞争是生化机制。此外,通过在有限的营养条件下(如对病原菌敏感的苹果花提取物)将SynCom与病原菌共同培养,我们证实了SynCom处理降低病原菌密度的潜力。该研究表明,利用宏基因组学进行遗传选择可以有效地鉴定具有潜在功能能力的微生物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic and Nutritional Dynamics of SynCom in Suppressing Apple Fire Blight.

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.

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来源期刊
Plant Pathology Journal
Plant Pathology Journal 生物-植物科学
CiteScore
4.90
自引率
4.30%
发文量
71
审稿时长
12 months
期刊介绍: Information not localized
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