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2022 ◽  
Vol 2 ◽  
Author(s):  
Sefinew Tilahun ◽  
Marye Alemu ◽  
Mesfin Tsegaw ◽  
Nega Berhane

Ginger diseases caused by fungal pathogens have become one of the most serious problems causing reduced production around the world. It has also caused a major problem among farmers in different parts of Ethiopia resulting in a huge decline in rhizome yield. However, the exact causative agents of this disease have not been identified in the state. Although there are few studies related to pathogenic fungus identification, molecular level identification of fungal pathogen was not done in the area. Therefore, this study was undertaken to isolate and characterized the fungal causative agent of ginger disease from the diseased plant and the soil samples collected around the diseased plant from Chilga district, Gondar, Ethiopia. Samples from infected ginger plants and the soil around the infected plant were collected. Culturing and purification of isolates were made using Potato Dextrose Agar supplemented with antibacterial agent chloramphenicol. The morphological characterization was done by structural identification of the isolates under the microscope using lactophenol cotton blue stains. Isolated fungi were cultured and molecular identification was done using an internal transcribed spacer (ITS) of ribosomal DNA (rDNA). A total of 15 fungal morphotypes including 11 Aspergillus spp. (73.3%), 2 Penicillium spp. (13.3%), and single uncultured fungus clone S23 were isolated from the samples representing all the plant organs and the soil. Aspergillus spp. (73.3%) was the most common and seems to be the major causative agent. To the best of our knowledge, this is the first report of ginger pathogenic fungi in Ethiopia identified using ITS rDNA molecular techniques. This study will lay foundation for the development of management strategies for fungal diseases infecting ginger.


Author(s):  
David Montiel-Salero ◽  
Angélica Jiménez-Aguilar ◽  
Susana E. Ramírez-Sánchez ◽  
Daniel Ruiz-Juárez ◽  
Octavio Guerrero-Andrade ◽  
...  

The species<em> Opuntia ficus-indica</em> is affected by pests and diseases, one of the most important of these being golden spot. The latter has been reported in various countries, including Mexico. Symptoms similar to those of golden spot in <em>O. ficus-indica</em> have been observed in the xoconostle crop (<em>Opuntia matudae</em> Scheinvar, cv. Rosa). The objective of this study was to isolate and identify the causative agent that causes the symptoms, which resembled those of the disease described as golden spot in <em>O. ficus-indica</em>. Simple random sampling in the field (10 plots) was carried out on xoconostle plants that presented the described symptoms. Slices of diseased plant tissue were cut and placed in Petri plates with PDA medium. Compliance with Koch’s postulates showed that the isolated (one aislated) of <em>Alternaria</em> sp. obtained from the field samples colonized the cladodes after inoculations in the greenhouse. Through taxonomic keys, <em>Alternaria</em> sp. was identified as the causative microorganism. Molecular characterization of the isolated <em>Alternaria</em> sp. was identified as <em>Alternaria</em> <em>alternata</em>. This is the first report worldwide of <em>Alternaria alternata</em> as the causal agent of golden spot in a xoconostle crop.


Plant Disease ◽  
2021 ◽  
Author(s):  
Devin Bily ◽  
Ekaterina V. Nikolaeva ◽  
Tracey Olson ◽  
Seogchan Kang

To document the distribution of potentially harmful Phytophthora spp. within Pennsylvania (PA), the PA Department of Agriculture collected 89 plant, 137 soil, and 48 water samples at 64 forested sites from 2018 to 2020. In total, 231 Phytophthora strains were isolated using baiting assays and identified based on morphological characteristics and sequences of nuclear and mitochondrial loci. Twenty-one Phytophthora spp. in nine clades and one unidentified species were present. Phytophthora abietivora, a recently described clade 7a species, was recovered from diseased tissue of 10 native broadleaved plants and twice from soil from 12 locations. Phytophthora abietivora is most likely endemic to PA based on pathogenicity tests on six native plant species, intraspecific genetic diversity, wide distribution, and recoveries from Abies Mill. and Tsuga Carrière plantations dating back to 1989. Cardinal temperatures and morphological traits are provided for this species. Other taxa, in decreasing order of frequency, include P. chlamydospora, P. plurivora, P. pini, P. cinnamomi, P. xcambivora, P. irrigata, P. gonapodyides, P. cactorum, P. pseudosyringae, P. hydropathica, P. stricta, P. xstagnum, P. caryae, P. intercalaris, Phytophthora ‘bitahaiensis’, P. heveae, P. citrophthora, P. macilentosa, P. cryptogea, and P. riparia. Twelve species were associated with diseased plant tissues. This survey documented 53 new plant-Phytophthora associations and expanded the known distribution of some species.


Author(s):  
Imrus Salehin ◽  
S. M. Noman ◽  
Baki Ul-Islam ◽  
Israt Jahan Lopa ◽  
Prodipto Bishnu Angon ◽  
...  

The agricultural and technological combination is blessed for modern world life. Internet of things (IoT) is essential for comfort and development to our agriculture side. In our study, we detected the various pest using different types of sensors and this information has automatically sent to the farmer's mobile for the alert. All these sensors had a central database. Those sensors collect all the data and display the results compared to the central data. The High-image sensor will be able to detect all the rays emitted from the plant and another one is the gas sensor which is able to detect all the gases coming from the diseased plant. We mainly use sound sensor, MQ138, CMOSOV-7670, AMG-8833 for a better automation system. We test it with real-time environment conditions (40°C≤TA≤14°C). Crop pest detection automatic process is more efficient than the other detection process according to testing output. As a result, far-reaching changes in the agricultural sector are possible. To reduce extra cost and increasing more farming ability we need to IoT and Agriculture combinations more.


Plant Disease ◽  
2021 ◽  
Author(s):  
Run Hua Yi ◽  
Jun Jie Su ◽  
Huan Jin Li ◽  
Dong Li ◽  
Gui Gen Long

Manglietia decidua (Magnoliaceae) was a class I endangered plant in China. During 2018-2020, a severe root rot (about 10% - 90% disease incidence ) was observed on 2-year-old seedlings in the nursery in Yichun, Jiangxi province (N27°52’20”; E114°27’46”). Symptoms started on leaves showing dehydration and chlorosis, the root of diseased plant became black and rotted, and in severe cases, the plants withered and died. The symptomatic root tissues were cut and dipped in a 3% hydrogen peroxide solution for 5 mins, rinsed thrice with sterile water, and then placed on potato glucose agar medium containing ampicillin (50mg/L). The plates were kept in an incubator at 25-28°C for 2-3 days in the dark. The Calonectria-like fungus was consistently isolated from 100% of tissues and the colonies were feathery, moderate white aerial mycelium, surface pale brown, reverse with white outer margin, and brown inner region. The perithecia produced on carnation leaf agar were solitary, subglobose to ovoid, dark red-brown, and measured 273.8 - 427.2 × 362.6 - 628.9 µm (av. 360.9 × 429.9 µm) (n = 31). Clavate asci contained eight spores and tapered into a long thin stalk. Ascospores were hyaline, guttulate, straight to slightly curved with rounded ends, 36.8- 66.1×4.4-7.3 μm (av. 49.9 × 5.9 μm) (n = 52), 1-septate, constricted at the septum and aggregated in the upper third of the ascus. On PDA,conidia formed on penicillate conidiophores within 10 days were hyaline, 1(-3)-septate, cylindrical, rounded at both ends, straight, 36.5-61.7 × 5.0-7.2 μm (av. 50.7 × 6.2 µm) (n=48). Isolate HML 20 and 27 were used to further confirm species identity by five loci analysis:ITS (MZ389092 and MZ389093), ACT (MZ398252 and MZ398253), HIS3 (MZ398254 and MZ398255), TEF1-α (MZ398256 and MZ398257), and TUB2 (MZ398258 and MZ398259). NCBI BLASTN showed the high sequence identity with Calonectria ilicicola ex-type culture CBS 190.50 (CMW 30998) (Liu et al 2020): 100 % for ITS (MT359727), TUB2 (AY725631), and HIS3 (MT335506), 99.22% for ACT (MT335036), 99.80% for TEF1-α (MT412797). Maximum likelihood (ML) analysis and Bayesian inference (BI) based on the combined ITS, tub2, his3 and tef1 sequence using RAxML v.1.0.0 and MrBayes v. 3.2.1 software revealed that isolate HML 20 and 27 clustered together with C. ilicicola strains in C. kyotensis species complex. Thus, the fungus was identified as C. ilicicola (anamorph: Cylindrocladium parasiticum) based on morpho-molecular criteria (Lombard et al. 2010). Pathogenicity was determined under greenhouse conditions (25-30 ℃). The 2-year-old plants grown in 25-cm pots for 20 days were inoculated. Five 6-mm mycelial plugs from 7-day culture on PDA were buried 5 cm under the soil adjacent to the unwounded taproot of each plant and the plants were watered regularly to keep the soil moisture content at about 15%. After ten days, inoculated plants began to show chlorosis symptoms on leaves and collapsed within 15 to 20 days, while no symptoms were observed on control plants. The same colonial fungus was successfully reisolated. Calonectria ilicicola is an economically important plant pathogen worldwide, which causes diseases on Arachis hypogaea, Cinnamomum kanahirai, Glycine max, Medicago sativa, Sassafras randaiense, and Vaccinium spp. etc. in China (Gai et al 2017, Fei et al 2018, Zhang et al 2020 ). As far as we know, it is first report of C. ilicicola causing root rot on M. decidua. At present, this disease is an important threat to the conservation of M. decidua.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Elisa Vilvert ◽  
Åke Olson ◽  
Ann-Charlotte Wallenhammar ◽  
Jonas Törngren ◽  
Anna Berlin

Abstract Background Oat (Avena sativa L.) is an important cereal crop for livestock feed and human consumption. The largest oat-producing countries are located in the Northern Hemisphere with Sweden as the tenth largest producer. Oat production is challenged by different diseases that can lead to significant yield reductions and impaired grain quality. The use of efficient and sustainable plant protection management is of great economic and ecological importance. The systematic map in this study aims to provide a knowledge base inventory and to identify areas that need to be researched in the future in terms of plant disease management for more sustainable oat production. Methods Literature searches were conducted in both academic bibliographic databases and relevant online sources of grey literature. A time-span restriction of 40 years (1978–2018) was applied to the searches. English was used in all searches, and Swedish, Norwegian and Danish languages were used in the grey literature searches. The screening process, which followed a protocol with eligibility criteria, was conducted at three levels: title, abstract and full text. Metadata incorporating bibliographic information, study location, climatic zone, disease name, the common and scientific names of the disease-causing organism, pathogen type, intervention and management methods, diseased plant part, plant stage, and outcome were extracted from the studies and included in the systematic map. The systematic map findings are visualized in figures and tables and described. All included studies can be found in a searchable database. Review findings A total of 58 eligible articles, most (n = 51) from scientific journals published in English, were included in the systematic map. A majority of the studies were conducted in the Northern Hemisphere in temperate climatic zones, where most of the world’s oats are produced. The earliest article was published in 1980, followed by an oscillating temporal distribution of articles over the following years. By country, Canada had the highest number of articles, and by region, Europe had the highest number. Fungi were the most studied pathogen type, and a total of 16 different diseases were reported. Fusarium head blight (Fusarium spp.) and crown rust (Puccinia coronata) were the most studied diseases. In total, 17 different intervention management approaches for controlling the diseases were analyzed in the articles, with cultivar resistance and pesticide application as the most studied methods. Conclusion The map highlights the low quantity of available relevant field research on oat disease management. To our knowledge, this is the first systematic map of crop protection. This map provides a database of scientific literature that can be used to develop sustainable disease management strategies. The method used in this study has great potential and can also be used to benefit other crops. Research is often based on the availability of funding, and this map could be a useful tool for researchers and funding organizations to identify relevant research topics that need to be further studied. In addition, this systematic map offers a useful tool for field-based advisors in providing scientifically relevant crop protection strategies for farmers.


Author(s):  
Waleed Albattah ◽  
Marriam Nawaz ◽  
Ali Javed ◽  
Momina Masood ◽  
Saleh Albahli

AbstractThe agricultural production rate plays a pivotal role in the economic development of a country. However, plant diseases are the most significant impediment to the production and quality of food. The identification of plant diseases at an early stage is crucial for global health and wellbeing. The traditional diagnosis process involves visual assessment of an individual plant by a pathologist through on-site visits. However, manual examination for crop diseases is restricted because of less accuracy and the small accessibility of human resources. To tackle such issues, there is a demand to design automated approaches capable of efficiently detecting and categorizing numerous plant diseases. Precise identification and classification of plant diseases is a tedious job due because of the occurrence of low-intensity information in the image background and foreground, the huge color resemblance in the healthy and diseased plant areas, the occurrence of noise in the samples, and changes in the position, chrominance, structure, and size of plant leaves. To tackle the above-mentioned problems, we have introduced a robust plant disease classification system by introducing a Custom CenterNet framework with DenseNet-77 as a base network. The presented method follows three steps. In the first step, annotations are developed to get the region of interest. Secondly, an improved CenterNet is introduced in which DenseNet-77 is proposed for deep keypoints extraction. Finally, the one-stage detector CenterNet is used to detect and categorize several plant diseases. To conduct the performance analysis, we have used the PlantVillage Kaggle database, which is the standard dataset for plant diseases and challenges in terms of intensity variations, color changes, and differences found in the shapes and sizes of leaves. Both the qualitative and quantitative analysis confirms that the presented method is more proficient and reliable to identify and classify plant diseases than other latest approaches.


Plant Disease ◽  
2021 ◽  
Author(s):  
Joussy Hidrobo ◽  
Dario Ramirez-Villacis ◽  
Noelia Barriga-Medina ◽  
Karen Herrera ◽  
Antonio Leon-Reyes

In Ecuador, strawberry production is located in the Andean region with an area of 1000 ha. Albion is the most popular cultivar due to its conical fruit shape, fruit size, bright red color, and sweetness. Since June 2014, farmers reported a reduction in the production cycle from 24 months to 6-8 months and a decreased yield of around 50% due to an unknown soil pathogen. Plant symptoms presented a reddish discoloration on new leaves, coming through the leaf apex to the petiole until turning wholly brown in old leaves leading to plant death. Additionaly, a brown-reddish spot inside the strawberry crown and root rot were reported (Fig. S1). In 2020, in Ecuador's most extensive production area, called Yaruqui (Pichincha province), 25 diseased plants were collected for pathogen isolation. The pathogen was isolated on water agar medium from the crowns internal tissue using 0.5 cm diseased plant fragments, previously disinfected with 2% sodium hypochlorite, and rinsed with sterile water. After two days, single hyphal tip was reisolated on potato dextro agar (PDA). A total of 18 pure isolates were grown at 25°C for 12 days, then 3-7 days of blacklight treatment was applied to induce sporulation. All the isolates presented a cottony beige mycelium with undulate edges. The conidia were ellipsoidal (range between 20.73 to 29 µm in length and 6.2 to 8.77 µm in width; n=60), multiseptated (4 segments) showing hyaline apical (3.8 to 5 µm) and basal (4.87 to 8 µm) cells, and three brown median cells, the second and third were darker than the fourth one, with one basal and 2 to 4 apical appendages (26.09 to 38.7 µm; Fig. S1). According to colony and conidia morphology, the isolates were identified as Neopestalotiopsis sp. (Dung et al. 2016; Essa et al. 2018; Maharachchikumbura et al. 2011). Five isolates were select randomly for DNA extraction and sequencing of the internal transcribed spacer (ITS) region (ITS4/ITS5), β-tubulin (Bt2b/ T1), and translation elongation factor 1-alpha (TEF-1a) region (EF1-728/ EF1-986) (Maharachchikumbura et al. 2014). DNA sequences obtained from each marker were identical for all isolates. Consensus sequences and alignment were built using ClustalX in MEGA X (Kumar et al. 2018). The consensus sequences were deposited in GenBank with the following accession numbers: ITS, MZ047602; β-tubulin, MZ054301; and TEF-1a, MZ054302. A multilocus Bayesian inference phylogenetic tree was constructed using the concatenated sequences in the Beast software (version 1.8.4)(Drummond et al. 2012; Maharachchikumbura et al. 2014). The isolate in our study clustered with isolates of Neopestalotiopsis mesopotamica with a posterior probability of 1, confirming its identity (Fig. S2). For Koch's postulates, healthy plants were grown in sterile soil for four months. Conidia of the pathogen were suspended in potato dextro broth (PDB) (1 x 104 conidia/ml), and it was sprayed on 15 healthy plants that previously had their crowns wounded with a sterile needle (0.6 cm deep) at the four cardinal points. The control treatment (15 plants) was wounded and sprayed with PDB alone. The plants were maintained at 25°C and more than 85% relative humidity (Sigillo et al. 2020). Twelve days after inoculation, plants showed reddish discoloration on new leaves, and old leaves presented low-level wilt, rusty color, and necrotic petioles. Forty-one days later, 75% of the treated plants had severe wilt or were dead, showing root and crown rot. Control plants presented no symptoms of the disease. Reisolation of the pathogen from the disease crown tissues was done on water agar and PDA as previously described. The isolates presented the exact morphology of pure cultures obtained from field diseased strawberry crowns. The pathogenicity test was performed twice. To our knowledge, this is the first report of Neopestalotiopsis mesopotamica being the causal agent of root and crown rot on strawberries in Ecuador. N. iranensis and N. mesopotamica have been reported as causal agents of strawberries fruit rot and leaf lesions in Iran (Ayoubi and Soleimani, 2016), and N. clavispora was reported to be causing root and crown rot on strawberry plants in Argentina (Obregon et al. 2018). Disease diagnosis contributes to providing strategies against this new disease. Further investigations are needed to find biological/chemical techniques or cultivar resistance to control this pathogen in strawberries in Ecuador.


Microbiome ◽  
2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Min Gao ◽  
Chao Xiong ◽  
Cheng Gao ◽  
Clement K. M. Tsui ◽  
Meng-Meng Wang ◽  
...  

Abstract Background The plant microbiome is an integral part of the host and increasingly recognized as playing fundamental roles in plant growth and health. Increasing evidence indicates that plant rhizosphere recruits beneficial microbes to the plant to suppress soil-borne pathogens. However, the ecological processes that govern plant microbiome assembly and functions in the below- and aboveground compartments under pathogen invasion are not fully understood. Here, we studied the bacterial and fungal communities associated with 12 compartments (e.g., soils, roots, stems, and fruits) of chili pepper (Capsicum annuum L.) using amplicons (16S and ITS) and metagenomics approaches at the main pepper production sites in China and investigated how Fusarium wilt disease (FWD) affects the assembly, co-occurrence patterns, and ecological functions of plant-associated microbiomes. Results The amplicon data analyses revealed that FWD affected less on the microbiome of pepper reproductive organs (fruit) than vegetative organs (root and stem), with the strongest impact on the upper stem epidermis. Fungal intra-kingdom networks were less stable and their communities were more sensitive to FWD than the bacterial communities. The analysis of microbial interkingdom network further indicated that FWD destabilized the network and induced the ecological importance of fungal taxa. Although the diseased plants were more susceptible to colonization by other pathogenic fungi, their below- and aboveground compartments can also recruit potential beneficial bacteria. Some of the beneficial bacterial taxa enriched in the diseased plants were also identified as core taxa for plant microbiomes and hub taxa in networks. On the other hand, metagenomic analysis revealed significant enrichment of several functional genes involved in detoxification, biofilm formation, and plant-microbiome signaling pathways (i.e., chemotaxis) in the diseased plants. Conclusions Together, we demonstrate that a diseased plant could recruit beneficial bacteria and mitigate the changes in reproductive organ microbiome to facilitate host or its offspring survival. The host plants may attract the beneficial microbes through the modulation of plant-microbiome signaling pathways. These findings significantly advance our understanding on plant-microbiome interactions and could provide fundamental and important data for harnessing the plant microbiome in sustainable agriculture.


Plant Disease ◽  
2021 ◽  
Author(s):  
Yong Tang ◽  
Jun Yan ◽  
Yan Peng ◽  
Wenfeng Weng ◽  
Xin Yao ◽  
...  

Tartary buckwheat (Fagopyrum tataricum, Polygonaceae) is an annual plant originating in Southwest China. It has a short growth cycle, barren soil tolerance, and strong stress resistance (Zhang et al. 2021). Because of its high content of proteins, starch, trace elements, phenols, and dietary fiber, Tartary buckwheat is beneficial to the human body and hence has received widespread attention (Joshi et al. 2019; Dc ja, B, et al. 2020). In the period from September to November 2020, a diseased plant infected with gray mold was found among M2 generation plants treated using ethyl methanesulfonate (EMS) in a location with potted Tartary buckwheat plants in Huaxi District, Guiyang City, Guizhou Province, China. The diseased plant started to show symptoms during the initial flowering stage; water-soaked spots appeared at first, that the spots increased in size and turned into light brown patches, with the leaf edges scorched brown. In severe cases, the leaves turned yellow, the diseased spots became dry, and finally the leaves necrotic (Figure 1A). Among the leaves that showed disease symptoms, severely susceptible leaves were selected; a piece of tissue (2×2 mm) was removed at the junction of the diseased and healthy tissues. The tissue was then soaked in 75% ethanol for 2 to 3 s, transferred to 1% sodium hypochlorite solution and soaked for 3 min, rinsed three times with sterile water, and placed on sterilized filter paper to dry. Sterile tweezers were used to transfer the tissue blocks to Potato Dextrose Agar medium (Bio-Rad Ltd. Com, USA) containing a Streptomyces–Penicillium mixture (100 μg/mL), and they were incubated on this medium for 7 to 10 days at 25°C and 70% humidity under 16 h light and 8 h dark conditions. The colonies were white at the early stages, with developed aerial hyphae; subsequently, they gradually turned gray-green (Figure 1B). In the later stages, the back of the colony was black and piles of conidia could be seen (Figure 1C). The conidia are scattered, which were colorless and transparent, fusiform or fusiform, with a size of 8.02–11.13 μm×2.06–3.22 μm (average=9.51 μm×2.69 μm, n=50) (Figure 1D). Based on their morphological characteristics, These cultural and morphological characteristics were consistent with the descriptions of as B. dothidea (Fan et al. 2021). The ITS1/ITS4 (Mills et al. 1992), Bt-2a/Bt-2b primers (Glass and Donaldson 1995), and EF1-728F/EF1-986R (Slippers et al. 2004) were amplified and sequenced to analyze the ITS region, β-tubulin genes translation elongation factor 1-α (TEF1-α), and translation elongation factor 1-α (TEF1-α), respectively. According to BLAST search in GenBank, the sequences of ITS (MZ326853), TUB2 (MZ399162) and TEF1-α (MZ399163) had 99.40%, 100% and 100% similarity to sequences NR111146.1, AY236927.1, and AY236898.1 of B. dothidea ex-type strain CMW8000, respectively. The three nucleotide sequences were concatenated together, and MEGA-X (with the neighbor-joining method) with 1,000 bootstraps was used to construct a phylogenetic tree. The results showed that our isolate was closely related to B. dothidea (Figure 2). Healthy Tartary buckwheat from the M2 generation was used for the pathogenicity test. Disinfect with 75% alcohol and 1×105 mL-1 of spore suspension was sprayed on the leaves. Each treatment included three plants, and it was repeated three times with sterile water as control. The treatments were kept in a houseat25°C for 24 h, then transferred it to the natural environment of 22℃ to 28℃,and sterile water was sprayed every morning and evening to keep the leaves moist. After 10 days, the symptoms seen in the field appeared on the treated plants (Figure 1E), but the control plants did not show any symptoms (Figure 1F). The diseased parts of the leaves were isolated and cultured again, and the isolates were consistent with the original inoculum. Thus, the study conformed to Koch’s postulates. B. dothidea is a fungus with no host preference in the genus Botryosphaeria (Botryosphaeriaceae, Botryosphaeriales). It can cause canker, leaf spots, trunk diseases, fruit rot and die-back of many important wood plants all over the world (Marsberg et al.2017). Recently, it was reported that B. dothidea caused soybean canker in China (Chen et al.2021), but there have been no reports of B. dothidea causing Tartary buckwheat gray mold. To the best of our knowledge, this is the first report of B. dothidea causing gray mold on Tartary buckwheat. This finding will provide a basis for the prevention and treatment of Tartary buckwheat gray mold.


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