Characterization of pectolytic bacteria causing soft rot on sugar beet in the west of Iran

IF 1.1 4区 农林科学 Q3 PLANT SCIENCES Journal of Phytopathology Pub Date : 2024-07-19 DOI:10.1111/jph.13359
Shamimeh Seif, Nahid Moarrefzadeh, Rouhallah Sharifi, Saman Hosseini
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Abstract

Bacterial soft rots are amongst the most economically important diseases that cause significant yield losses in various crops. A clear identification of the causal agents is required to develop management strategies. In 2022 and 2023, after the widespread occurrence of soft rot disease in sugar beet fields in the Firuzan region, Hamedan Province, Iran, the current study was conducted to identify and characterize the causal agents. A total of 38 bacterial isolates were obtained from sugar beet plants with soft rot symptoms and subjected to biochemical and phenotypical characterization and pathogenicity tests on healthy slices from potato tubers and sugar beet taproots. Twelve isolates from this study along with the type strain Pectobacterium carotovorum ICMP 5702 were selected for subsequent screening by BOX-PCR. Six isolates were chosen for sequencing the 16SrRNA gene and phylogenetic analysis. In BLAST analyses, the pathogenic isolates S2, S9, S22, S11, S23 and 111 showed the highest similarity values (≥99%) with the reference sequences of Raoultella terrigena, Klebsiella michiganensis, Erwinia (Winslowiella) iniecta, Pantoea agglomerans and P. carotovorum, respectively. These isolates induced soft rot and maceration on plant materials from five species (bell pepper fruits, garlic cloves and slices from sugar beet taproot, potato tubers and carrot roots) 72 h after inoculation. In the greenhouse experiment, they caused soft rot symptoms in the taproots of 2-month-old sugar beet plants 3 weeks after inoculation. These soft rot agents had Gram-negative, catalase-positive and oxidase-negative reactions, grew under both aerobic and anaerobic conditions, tolerated and grew at 37°C and 5% NaCl. In general, the results of this research showed that in addition to Pectobacterium, four other genera from the order Enterobacterales including Erwinia, Pantoea, Klebsiella and Raoultella, are amongst the causes of soft rot in sugar beet in Firuzan region of Hamedan.

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导致伊朗西部甜菜软腐病的果胶分解菌的特征
细菌性软腐病是经济上最重要的病害之一,会给各种作物造成严重的产量损失。要制定管理策略,就必须明确病原。2022 年和 2023 年,软腐病在伊朗哈马丹省菲鲁赞地区的甜菜田中大面积发生后,本研究对病原菌进行了鉴定和定性。研究人员从出现软腐病症状的甜菜植株上获得了 38 个细菌分离物,并对这些分离物进行了生化和表型鉴定,还对马铃薯块茎和甜菜直根的健康切片进行了致病性测试。从这项研究中筛选出 12 个分离菌株以及模式菌株 Pectobacterium carotovorum ICMP 5702,随后通过 BOX-PCR 进行筛选。选择了六个分离株进行 16SrRNA 基因测序和系统进化分析。在 BLAST 分析中,病原菌分离物 S2、S9、S22、S11、S23 和 111 分别与 Raoultella terrigena、Klebsiella michiganensis、Erwinia (Winslowiella) iniecta、Pantoea agglomerans 和 P. carotovorum 的参考序列显示出最高的相似值(≥99%)。接种 72 小时后,这些分离菌诱导 5 种植物材料(甜椒果实、蒜瓣、甜菜直根切片、马铃薯块茎和胡萝卜根)发生软腐和浸渍。在温室实验中,接种 3 周后,它们会在 2 个月大的甜菜植株的直根上引起软腐症状。这些软腐病菌具有革兰氏阴性、过氧化氢酶阳性和氧化酶阴性反应,在有氧和厌氧条件下都能生长,能在 37°C 和 5%氯化钠条件下耐受和生长。总体而言,研究结果表明,除果胶杆菌外,肠杆菌科的其他四个属,包括埃尔温氏菌属、泛氏菌属、克雷伯氏菌属和劳氏菌属,也是哈马丹省菲鲁赞地区甜菜软腐病的病原菌。
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来源期刊
Journal of Phytopathology
Journal of Phytopathology 生物-植物科学
CiteScore
2.90
自引率
0.00%
发文量
88
审稿时长
4-8 weeks
期刊介绍: Journal of Phytopathology publishes original and review articles on all scientific aspects of applied phytopathology in agricultural and horticultural crops. Preference is given to contributions improving our understanding of the biotic and abiotic determinants of plant diseases, including epidemics and damage potential, as a basis for innovative disease management, modelling and forecasting. This includes practical aspects and the development of methods for disease diagnosis as well as infection bioassays. Studies at the population, organism, physiological, biochemical and molecular genetic level are welcome. The journal scope comprises the pathology and epidemiology of plant diseases caused by microbial pathogens, viruses and nematodes. Accepted papers should advance our conceptual knowledge of plant diseases, rather than presenting descriptive or screening data unrelated to phytopathological mechanisms or functions. Results from unrepeated experimental conditions or data with no or inappropriate statistical processing will not be considered. Authors are encouraged to look at past issues to ensure adherence to the standards of the journal.
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