Molecular identification and pathogenicity of <i>Fusarium</i> and <i>Alternaria</i> species associated with root rot disease of wolfberry in Gansu and Ningxia provinces, China

Uwaremwe, Constantine; Yue, Liang; Yang, Liuyan; Tian, Yuan; Zhao, Xia; Wang, Yun; Xie, Zhongkui; Cui, Zengtuan; Wang, Ruoyu

doi:10.1111/ppa.13285

Cited by 24 publications

(12 citation statements)

References 35 publications

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“…We used five fungal pathogens, including Fusarium oxysporum , F. solani , F. chlamydosporum , F. tricinctum and Alternaria alternata , that were previously identified as root-rot-causing pathogens in wolfberry plants and they were preserved in glycerol at −80°C ( Uwaremwe et al, 2021 ). The five fungi were cultivated at 25°C for 7 days on potato dextrose agar (PDA) that included 20% potato infusion, 2% dextrose, and 1.5% agar obtained from Qingdao Hope Bio-Technology Co., Ltd., in China.…”

Section: Methodsmentioning

confidence: 99%

“…The resulting 16S rRNA gene sequence was compared in a BLAST search to those in the National Library of Medicine (Bethesda, United States) database ( Altschul et al, 1997 ). Phylogenetic analysis of HSB1 was performed using MEGA 5.5 ( Kumar et al, 2008 ) and the relationships between HSB1 and other Bacillus sequences were analyzed using the neighbor-joining method ( Saitou and Nei, 1987 ; Uwaremwe et al, 2021 ). Bootstrap values for the neighbor-joining tree were calculated for 1,000 replicates ( Felsenstein, 1985 ; Uwaremwe et al, 2021 ).…”

Section: Methodsmentioning

confidence: 99%

“…In addition to the in vitro biocontrol experiments, and in planta biocontrol experiment was conducted whereby HSB1 and FZB42 were used as BCAs against a strain of F. oxysporum that was previously isolated from Chinese wolfberry and identified based on ITS and TEF (Genbank reference: MN959986 and MT811807) ( Uwaremwe et al, 2021 ). L. Barbarum seedlings were obtained from seed germination.…”

Section: Methodsmentioning

confidence: 99%

“…In our previous study, we investigated root rot disease in Chinese wolfberry. Fusarium species were the most abundant among all isolated fungal pathogens, and Fusarium infected plants were characterized by yellow leaves, necrosis, death and rotten roots ( Uwaremwe et al, 2021 ). It can be difficult to identify, measure and manage root rot disease in a nursery setting because pathogens may easily and quickly spread from plant to plant causing widespread death of seedlings ( Omukhua and Godwin-Egein, 2011 ).…”

Section: Introductionmentioning

confidence: 99%

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An Endophytic Strain of Bacillus amyloliquefaciens Suppresses Fusarium oxysporum Infection of Chinese Wolfberry by Altering Its Rhizosphere Bacterial Community

et al. 2022

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Root rot disease is a serious infection leading to production loss of Chinese wolfberry (Lycium barbarum). This study tested the potential for two bacterial biological control agents, Bacillus amyloliquefaciens HSB1 and FZB42, against five fungal pathogens that frequently cause root rot in Chinese wolfberry. Both HSB1 and FZB42 were found to inhibit fungal mycelial growth, in vitro and in planta, as well as to promote the growth of wolfberry seedlings. In fact, a biocontrol experiment showed efficiency of 100% with at least one treatment involving each biocontrol strain against Fusarium oxysporum. Metagenomic sequencing was used to assess bacterial community shifts in the wolfberry rhizosphere upon introduction of each biocontrol strain. Results showed that HSB1 and FZB42 differentially altered the abundances of different taxa present and positively influenced various functions of inherent wolfberry rhizosphere bacteria. This study highlights the application of biocontrol method in the suppression of fungal pathogens that cause root rot disease in wolfberry, which is useful for agricultural extension agents and commercial growers.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Endophytic Strain of Bacillus amyloliquefaciens Suppresses Fusarium oxysporum Infection of Chinese Wolfberry by Altering Its Rhizosphere Bacterial Community

et al. 2022

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“…R. solani is reported to be the prevalent isolate causing severe root rots in pea in the Colombia and Washington basins of the USA. The recovery of the pathogen from plant samples and molecular identification by laboratory techniques are key to the pathogen diagnosis [ 125 , 128 ]. R. solani can live for lengthy periods in the soil and plant materials as infectious hyphae or hibernate in saprophytic mode [ 124 ].…”

Section: Pea Rhizospheric Diseasesmentioning

confidence: 99%

Pea Breeding for Resistance to Rhizospheric Pathogens

Wohor

Rispail²,

Ojiewo³

et al. 2022

Plants

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Pea (Pisum sativum L.) is a grain legume widely cultivated in temperate climates. It is important in the race for food security owing to its multipurpose low-input requirement and environmental promoting traits. Pea is key in nitrogen fixation, biodiversity preservation, and nutritional functions as food and feed. Unfortunately, like most crops, pea production is constrained by several pests and diseases, of which rhizosphere disease dwellers are the most critical due to their long-term persistence in the soil and difficulty to manage. Understanding the rhizosphere environment can improve host plant root microbial association to increase yield stability and facilitate improved crop performance through breeding. Thus, the use of various germplasm and genomic resources combined with scientific collaborative efforts has contributed to improving pea resistance/cultivation against rhizospheric diseases. This improvement has been achieved through robust phenotyping, genotyping, agronomic practices, and resistance breeding. Nonetheless, resistance to rhizospheric diseases is still limited, while biological and chemical-based control strategies are unrealistic and unfavourable to the environment, respectively. Hence, there is a need to consistently scout for host plant resistance to resolve these bottlenecks. Herein, in view of these challenges, we reflect on pea breeding for resistance to diseases caused by rhizospheric pathogens, including fusarium wilt, root rots, nematode complex, and parasitic broomrape. Here, we will attempt to appraise and harmonise historical and contemporary knowledge that contributes to pea resistance breeding for soilborne disease management and discuss the way forward.

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Internet of Things‐based root disease classification in alfalfa plants using hybrid optimization‐enabled deep convolutional neural network

Jayapalan¹,

Ananth²

2022

Concurrency and Computation

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Summary In this article, water cycle spider monkey optimization‐based deep convolutional neural network (WCSMO‐based deep CNN) is designed to classify root diseases in alfalfa plants. In the proposed method, the alfalfa plant root images are accessed remotely using a camera and transferred to the sink node to classify the disease. The proposed water cycle spider monkey optimization (WCSMO) algorithm performs the routing. Once the root images are received at base station or sink node, the images undergo preprocessing, segmentation, and classification. In the preprocessing module, a median filter is utilized to reduce the image noise. The preprocessed output is subjected to the segmentation phase, which is carried out using enhanced fuzzy C‐means clustering. The segmented results are passed to the classification step, where the deep convolutional neural network (deep CNN) is employed to categorize the root illness after being trained by the proposed WCSMO algorithm, which combines the water cycle algorithm and spider monkey optimization. The developed method achieved effective performance in terms of the metrics like sensitivity, accuracy, and specificity with the value of 0.9169, 0.9198, and 0.92. Moreover, the proposed WCSMO algorithm obtained the average energy and average throughput of 0.26641 J, and 91.483%, respectively.

show abstract

Molecular identification and pathogenicity of Fusarium and Alternaria species associated with root rot disease of wolfberry in Gansu and Ningxia provinces, China

Cited by 24 publications

References 35 publications

An Endophytic Strain of Bacillus amyloliquefaciens Suppresses Fusarium oxysporum Infection of Chinese Wolfberry by Altering Its Rhizosphere Bacterial Community

An Endophytic Strain of Bacillus amyloliquefaciens Suppresses Fusarium oxysporum Infection of Chinese Wolfberry by Altering Its Rhizosphere Bacterial Community

Pea Breeding for Resistance to Rhizospheric Pathogens

Internet of Things‐based root disease classification in alfalfa plants using hybrid optimization‐enabled deep convolutional neural network

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