25 results on '"Pramesh, Devanna"'
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2. Phenotypic and Genotypic screening of fifty-two rice (Oryza sativa L.) genotypes for desirable cultivars against blast disease.
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Jeevan B, Rajashekara Hosahatti, Prasanna S Koti, Vinaykumar Hargi Devappa, Umakanta Ngangkham, Pramesh Devanna, Manoj Kumar Yadav, Krishna Kant Mishra, Jay Prakash Aditya, Palanna Kaki Boraiah, Ahmed Gaber, and Akbar Hossain
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Medicine ,Science - Abstract
Magnaporthe oryzae, the rice blast fungus, is one of the most dangerous rice pathogens, causing considerable crop losses around the world. In order to explore the rice blast-resistant sources, initially performed a large-scale screening of 277 rice accessions. In parallel with field evaluations, fifty-two rice accessions were genotyped for 25 major blast resistance genes utilizing functional/gene-based markers based on their reactivity against rice blast disease. According to the phenotypic examination, 29 (58%) and 22 (42%) entries were found to be highly resistant, 18 (36%) and 29 (57%) showed moderate resistance, and 05 (6%) and 01 (1%), respectively, were highly susceptible to leaf and neck blast. The genetic frequency of 25 major blast resistance genes ranged from 32 to 60%, with two genotypes having a maximum of 16 R-genes each. The 52 rice accessions were divided into two groups based on cluster and population structure analysis. The highly resistant and moderately resistant accessions are divided into different groups using the principal coordinate analysis. According to the analysis of molecular variance, the maximum diversity was found within the population, while the minimum diversity was found between the populations. Two markers (RM5647 and K39512), which correspond to the blast-resistant genes Pi36 and Pik, respectively, showed a significant association to the neck blast disease, whereas three markers (Pi2-i, Pita3, and k2167), which correspond to the blast-resistant genes Pi2, Pita/Pita2, and Pikm, respectively, showed a significant association to the leaf blast disease. The associated R-genes might be utilized in rice breeding programmes through marker-assisted breeding, and the identified resistant rice accessions could be used as prospective donors for the production of new resistant varieties in India and around the world.
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- 2023
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3. Decoding the microbiome and metabolome of the Panchagavya—An indigenous fermented bio‐formulation
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Prasannakumar Muthukapalli Krishnareddy, Mahesh Hirehally Basavarajegowda, Parivallal Perumal Buela, Pramesh Devanna, Puneeth Makali Eregowda, Aditya Narayan Sarangi, Manasa Kodihalli Govindaraju, Sushil Kumar Middha, and Sahana Nagaraj Banakar
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Computer applications to medicine. Medical informatics ,R858-859.7 - Published
- 2022
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4. Insights on Novel Effectors and Characterization of Metacaspase (RS107_6) as a Potential Cell Death-Inducing Protein in Rhizoctonia solani
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N. Kavya, M. K. Prasannakumar, Gopal Venkateshbabu, Vidya Niranjan, Akshay Uttarkar, P. Buela Parivallal, Sahana N. Banakar, H. B. Mahesh, Pramesh Devanna, K. G. Manasa, and Tagginahalli N. Shivakumara
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Rhizoctonia solani ,necrotrophs ,cell death effectors ,metacaspase ,host–pathogen interaction ,Biology (General) ,QH301-705.5 - Abstract
Effectors play an important role in host–pathogen interactions. Though an economically significant disease in rice, knowledge regarding the infection strategy of Rhizoctonia solani is obscure. In this study, we performed a genome-wide identification of the effectors in R. solani based on the characteristics of previously reported effector proteins. A total of seven novel effectors (designated as RS107_1 to RS107_7) in the disease mechanism of R. solani were identified and were predicted to be non-classically secreted proteins with functionally conserved domains. The function, reactivity, and stability of these proteins were evaluated through physiochemical characterization. The target proteins involved in the regulation of rice defense mechanisms were identified. Furthermore, the effector genes were cloned and RS107_6 (metacaspase) was heterologously expressed in Escherichia coli to obtain a purified protein of ~36.5 kDa. The MALD-TOF characterization confirmed that the protein belonged to a metacaspase of the Peptidase_C14 protein family, 906 bp in size, and encoded a polypeptide of 301 amino acids. These findings suggest that the identified effectors can potentially serve as a virulence factor and can be targeted for the management of sheath blight in rice.
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- 2023
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5. Rapid genotyping of bacterial leaf blight resistant genes of rice using loop-mediated isothermal amplification assay
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Prasannakumar, M. K., Parivallal, Buela P., Manjunatha, Chennappa, Pramesh, Devanna, Narayan, Karthik S., Venkatesh, Gopal, Banakar, Sahana N., Mahesh, H. B., Vemanna, Ramu S., and Rangaswamy, K. T.
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- 2021
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6. LAMP-based foldable microdevice platform for the rapid detection of Magnaporthe oryzae and Sarocladium oryzae in rice seed
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Prasannakumar, M. K., Parivallal, P. Buela, Pramesh, Devanna, Mahesh, H. B., and Raj, Edwin
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- 2021
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7. Comparative metagenomic analysis of rice soil samples revealed the diverse microbial population and biocontrol organisms against plant pathogenic fungus Magnaporthe oryzae
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Prasannakumar, M. K., Netravathi, L. M., Mahesh, H. B., Buela Parivallal, P., Puneeth, M. E., Sathish, A., Pramesh, Devanna, Middha, Sushil K., Das, Anupam J., and Rohit, B. S.
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- 2021
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8. Comparative genomics of rice false smut fungi Ustilaginoidea virens Uv-Gvt strain from India reveals genetic diversity and phylogenetic divergence
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Pramesh, Devanna, Prasannakumar, Muthukapalli K., Muniraju, Kondarajanahally M., Mahesh, H. B., Pushpa, H. D., Manjunatha, Channappa, Saddamhusen, Alase, Chidanandappa, E., Yadav, Manoj K., Kumara, Masalavada K., Sharanabasav, Huded, Rohith, B. S., Banerjee, Gaurab, and Das, Anupam J.
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- 2020
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9. Genetic diversity and pathotype profiling of Xanthomonas oryzae pv. oryzae isolates from diverse rice growing ecosystems of Karnataka state of India
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Raghunandana, Adke, primary, Pramesh, Devanna, additional, Sunkad, Gururaj, additional, Amoghavarsha, Chittaragi, additional, Yadav, Manoj K., additional, Ngangkham, Umakanta, additional, Pushpa, H.D., additional, Prasannakumar, M.K., additional, Raghavendra, B.T., additional, Naik, Harischandra R., additional, Manjunatha, Siddepalli E., additional, and Yenjerappa, S.T, additional
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- 2023
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10. Spatial Distribution Patterns for Identifying Risk Areas Associated with False Smut Disease of Rice in Southern India
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Huded, Sharanabasav, primary, Pramesh, Devanna, additional, Chittaragi, Amoghavarsha, additional, Sridhara, Shankarappa, additional, Chidanandappa, Eranna, additional, Prasannakumar, Muthukapalli K., additional, Manjunatha, Channappa, additional, Patil, Balanagouda, additional, Shil, Sandip, additional, Pushpa, Hanumanthappa Deeshappa, additional, Raghunandana, Adke, additional, Usha, Indrajeet, additional, Balasundram, Siva K., additional, and Shamshiri, Redmond R., additional
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- 2022
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11. Prevalence and distribution of rice blast disease in different rice ecosystems of Karnataka, India
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Chittaragi, Amoghavarsha, primary, Naik, Ganesha R, additional, Pramesh, Devanna, additional, Naik, Manjunatha K, additional, A, Raghunandana, additional, E, Chidanandappa, additional, Huded, Sharanabasav, additional, Alase, Saddamhusen, additional, and BS, Chethana, additional
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- 2022
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12. Host range and virulence diversity of Pectobacterium carotovorum subsp. brasiliense strain RDKLR infecting radish in India, and development of a LAMP-based diagnostics
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Chandrashekar, Byalahalli Subramani, primary, PrasannaKumar, Mothukapalli Krishnareddy, additional, Parivallal, Perumal Buela, additional, Pramesh, Devanna, additional, Banakar, Sahana Nagaraj, additional, Patil, Swathi Shivanagouda, additional, and Mahesh, Hirehally Basavarajegowda, additional
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- 2022
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13. Multilocus sequence analysis and identification of mating-type idiomorphs distribution in Magnaporthe oryzae population of Karnataka state of India
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Chittaragi, Amoghavarsha, primary, Pramesh, Devanna, additional, Naik, Ganesha R., additional, Naik, Manjunath K., additional, Yadav, Manoj K., additional, Ngangkham, Umakanta, additional, Siddepalli, Manjunatha E., additional, Nayak, Anusha, additional, Prasannakumar, Muthukapalli K., additional, and Eranna, Chidanandappa, additional
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- 2022
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14. Spatial distribution patterns for identifying risk areas associated with false smut disease of rice in Southern India
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Huded, Sharanabasav, Pramesh, Devanna, Chittaragi, Amoghavarsha, Sridhara, Shankarappa, Chidanandappa, Eranna, Prasannakumar, Muthukapalli K., Manjunatha, Channappa, Patil, Balanagouda, Shil, Sandip, Pushpa, Hanumanthappa Deeshappa, Raghunandana, Adke, Usha, Indrajeet, Balasundram, Siva K., Shamshiri, Redmond R., Huded, Sharanabasav, Pramesh, Devanna, Chittaragi, Amoghavarsha, Sridhara, Shankarappa, Chidanandappa, Eranna, Prasannakumar, Muthukapalli K., Manjunatha, Channappa, Patil, Balanagouda, Shil, Sandip, Pushpa, Hanumanthappa Deeshappa, Raghunandana, Adke, Usha, Indrajeet, Balasundram, Siva K., and Shamshiri, Redmond R.
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False smut disease (FSD) of rice incited by Ustilaginoidea virens is an emerging threat to paddy cultivation worldwide. We investigated the spatial distribution of FSD in different paddy ecosystems of South Indian states, viz., Andhra Pradesh, Karnataka, Tamil Nadu, and Telangana, by considering the exploratory data from 111 sampling sites. Point pattern and surface interpolation analyses were carried out to identify the spatial patterns of FSD across the studied areas. The spatial clusters of FSD were confirmed by employing spatial autocorrelation and Ripley’s K function. Further, ordinary kriging (OK), indicator kriging (IK), and inverse distance weighting (IDW) were used to create spatial maps by predicting the values at unvisited locations. The agglomerative hierarchical cluster analysis using the average linkage method identified four main clusters of FSD. From the Local Moran’s I statistic, most of the areas of Andhra Pradesh and Tamil Nadu were clustered together (at I > 0), except the coastal and interior districts of Karnataka (at I < 0). Spatial patterns of FSD severity were determined by semi-variogram experimental models, and the spherical model was the best fit. Results from the interpolation technique, the potential FSD hot spots/risk areas were majorly identified in Tamil Nadu and a few traditional rice-growing ecosystems of Northern Karnataka. This is the first intensive study that attempted to understand the spatial patterns of FSD using geostatistical approaches in India. The findings from this study would help in setting up ecosystem-specific management strategies to reduce the spread of FSD in India.
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- 2022
15. Characterization of 16SrII group phytoplasma associated with sesame phyllody disease in different cropping seasons
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M. K. Naik, P. Madupriya, Reddy Bharath, Pramesh Devanna, and K. V. Bhat
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0106 biological sciences ,0301 basic medicine ,Veterinary medicine ,biology ,Kharif crop ,Broom ,Incidence (epidemiology) ,Plant Science ,biology.organism_classification ,16S ribosomal RNA ,01 natural sciences ,Crop ,03 medical and health sciences ,030104 developmental biology ,Phytoplasma ,Phyllody ,Agronomy and Crop Science ,Nested polymerase chain reaction ,010606 plant biology & botany - Abstract
A survey was conducted in the sesame fields of Karnataka, India during April–June 2010 (summer) and in Telangana State, Maharashtra and Karnataka during July–September 2010 (Kharif). In summer, disease incidence of 18.57–31.6% was recorded, whereas, in Kharif, incidence of 44.66–68%, 13–47.14% and 32.14% was recorded in Telangana State, Karnataka and Maharashtra respectively. Three symptomatic and two non-symptomatic samples from summer crop and sixteen symptomatic and two non symptomatic samples from Kharif season fields were collected. The disease etiology was confirmed using nested polymerase chain reaction (PCR) with phytoplasma universal primers P1/P7 followed by R16F2n/R16R2 which amplified ~ 1.8 and ~ 1.25 kb in the 16SrDNA gene. The BLAST and phylogenetic analysis of 16S rDNA gene further revealed that phytoplasma associated with phyllody disease in both the season were belonged to peanut witches’ broom group (16SrII). Further, iPhyClassifier analysis of 1.25 kb product of 16S rDNA sequence classified the isolates into 16SrII-A and 16SrII-D subgroups. All summer crop isolates were classified under 16SrII-D subgroup whereas; Kharif season isolates were grouped under 16SrII-A and 16SrII-D group. Phylogenetic analysis revealed the distinct subgroup-wise as well as season-wise clustering pattern where subgroup 16SrII-A and 16SrII-D clustered separately and summer and Kharif season isolates clustered separately. Our study reports that the sesame phyllody disease in Kharif season is caused by the taxonomically distinct strains (16SrII-A and 16SrII-D) whereas, in the summer crop, it is associated with 16SrII-D subgroup alone.
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- 2020
16. Rice Blast Disease in India: Present Status and Future Challenges
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Haniyambadi Basavegowda Manojkumar, Deepak Chikkaballi Annegowda, H. B. Mahesh, Siddegowda Rajendra Prasad, M. K. Prasannakumar, Chethana Bangera Siddabasappa, Sahana N Banakar, and Pramesh Devanna
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0106 biological sciences ,0301 basic medicine ,03 medical and health sciences ,030104 developmental biology ,business.industry ,food and beverages ,Biology ,business ,01 natural sciences ,Blast disease ,010606 plant biology & botany ,Biotechnology - Abstract
Rice (Oryza sativa L.) is the staple food of the majority of Indians, and India is both the major producer and consumer of rice. Rice cultivation in India is confronted with diverse agro-climatic conditions, varying soil types, and several biotic and abiotic constraints. Among major fungal diseases of Rice in India, the blast caused by Magnaporthe oryzae is the most devastating disease, with the neck blast being the most destructive form. Most of the blast epidemic areas in India have been identified with a mixture of races blast fungus resulting in the resistance breakdown in a short period. At present, a more significant number of the rice varieties cultivated in India were bred by conventional breeding methods with blast resistance conferred by a single resistance gene. Therefore, the blast disease in India is predominantly addressed by the use of ecologically toxic fungicides. In line with the rest of the world, the Indian scientific community has proven its role by identifying several blast resistance genes and successfully pyramiding multiple blast resistance genes. Despite the wealth of information on resistance genes and the availability of biotechnology tools, not a great number of rice varieties in India harbor multiple resistance genes. In the recent past, a shift in the management of blast disease in India has been witnessed with a greater focus on basic research and modern breeding tools such as marker-assisted selection, marker-assisted backcross breeding, and gene pyramiding.
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- 2022
17. Morpho‐molecular diversity and avirulence genes distribution among the diverse isolates of Magnaporthe oryzae from Southern India
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Amoghavarsha, Chittaragi, primary, Pramesh, Devanna, additional, Naik, Ganesh R., additional, Naik, Manjunath K., additional, Yadav, Manoj K., additional, Ngangkham, Umakanta, additional, Chidanandappa, Eranna, additional, Raghunandana, Adke, additional, Sharanabasav, Huded, additional, and Manjunatha, Siddepalli, additional
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- 2021
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18. First report of Alternaria alternata causing leaf spot on Oat (Avena sativa) in India
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Praveen, Boda, primary, M.K., Prasanna Kumar, additional, Pramesh, Devanna, additional, B, PALANNA K, additional, P.P., Buela, additional, Gutha, Ramesh Venkata, additional, Reddy, Karunakar N, additional, and A, NAGARAJA, additional
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- 2021
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19. Characterization of Rhizoctonia Species Complex Associated with Rice Sheath Disease in Karnataka
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M. K. Naik, Gururaj Sunkad, B. T. Nagaraj, Pramesh Devanna, and M. B. Patil
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0106 biological sciences ,Species complex ,Veterinary medicine ,fungi ,Biodiversity ,food and beverages ,04 agricultural and veterinary sciences ,Plant Science ,Biology ,Biotic stress ,biology.organism_classification ,Rhizoctonia ,01 natural sciences ,Rhizoctonia solani ,Sheath blight ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,Agronomy and Crop Science ,Pathogen ,Mycelium ,010606 plant biology & botany ,Food Science - Abstract
Sheath disease of rice is a complex biotic stress, caused by Rhizoctonia solani (sheath blight), R. oryzae (sheath spot) and R. oryzae-sativae (aggregate sheath spot). To determine the extent of distribution of these pathogen species, eighteen isolates of Rhizoctonia spp. were collected from different rice growing agroclimatic zones of Karnataka, India. Causal organisms were isolated from the diseased samples and identified based on morphological and molecular tools. Mycelial characters and sclerotial morphology were considered for species differentiation at culture level. Later, species identity was confirmed through polymerase chain reactions using previously standardized Rhizoctonia species-specific primers. Out of eighteen isolates, 14 isolates characterized as R. solani, two as R. oryzae and remaining two as R. oryzae-sativae. The results indicated that all three species of Rhizoctonia, viz. R. solani, R. oryzae and R. oryzae-sativae, are involved in causing rice sheath disease in Karnataka and R. solani was found predominantly distributed. Though sheath diseases caused by R. oryzae and R. oryzae-sativae are regarded as minor, their complementary role with R. solani in causing severe sheath disease epidemics has to be investigated. Accuracy in distinguishing these pathogens is essential to ensure the success of breeding programmes, which aim to develop rice varieties with resistance to sheath disease complex. As per the information available, this is the first report on the distribution of three species of Rhizoctonia associated with rice sheath disease in Karnataka.
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- 2018
20. First Report of Alternaria alternata Causing Leaf Spot on Oat (Avena sativa) in India
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A Nagaraja, Gutha Venkata Ramesh, K. B. Palanna, Pramesh Devanna, P. P. Buella, B M Praveen, M. K. Prasanna Kumar, and Namburi Karunakar Reddy
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food.ingredient ,biology ,Spots ,fungi ,food and beverages ,Plant Science ,biology.organism_classification ,Alternaria ,Alternaria alternata ,Conidium ,Crop ,Horticulture ,Avena ,food ,Leaf spot ,Agronomy and Crop Science ,Mycelium - Abstract
Oat (Avena sativa L.) is an important cereal crop grown worldwide primarily for food and animal feed. In November 2019, a leaf spot disease was observed on the oat plants at Mandya (12.5218° N, 76.8951° E), Karnataka, India. The disease incidence on plants was ranged between 43 to 57 percent. Initially, the symptoms appeared on leaves as small dark-brown spots surrounded by a yellow halo later turned to irregular necrotic spots with a yellow halo. A total of thirty leaves showing typical symptoms were collected from ten plants (three leaves per plant), cut into an area of 4-5 mm pieces at the junction of infected and healthy tissues. Cut tissues were soaked in 75% ethanol for 45 seconds, followed by 1% sodium hypochlorite solution for 1 min, rinsed five times in sterile distilled water, air dried, and placed on PDA and incubated at 25 ± 1 ℃. After 7 days of incubation, greyish fungal colonies appeared on PDA. Single-spore isolation method was employed to recover the pure cultures for five isolates. The colonies initially produced light-greyish aerial mycelia, then turned to dark-greyish upon maturity. Conidia were obclavate to pyriform and measured 17.34 to 46.97 µm long, 5.38 to 14.31 µm wide with 0 to 3 longitudinal, and 1 to 6 transverse septa with short beak (2.73 to 10.17µm) (n = 50.) Based on the morpho-cultural characteristics, the isolates were identified as Alternaria spp., and PCR assay using species-specific primers (AAF2/AAR3; Konstantinova, et al. 2002) confirmed the taxonomic identity of all five isolates as A. alternata. To further confirm the identity, the internal transcribed spacer (ITS), small subunit (SSU), glyceraldehyde-3-phosphate dehydrogenase (gapdh), RNA polymerase second largest subunit (rpb2), Alternaria major allergen (Alt a1), endopolygalacturonase (endoPG), an anonymous gene region OPA10-2, KOG1058 and translation elongation factor 1-alpha (tef1) of two isolates MAAS-1 and MAAS-2 were PCR amplified using the primers described previously (Woudenberg et al. 2015; Praveen et al. 2020) and the resultant PCR products were sequenced and deposited in NCBI GenBank (ITS: MW487388, MW741962, SSU: MW506220, MW752854, gapdh: MW506221, MW752855, rpb2: MW506222, MW752856, Alt a1: MW506223, MW752857, endoPG: MW506224, MW752858, OPA10-2: MW506225, MW752859, KOG1058: MW506226, MW752860, and tef1: MW506227, MW752861) which showed (99.62%, 99.81%), (100%, 100%), (100%, 99.66%), (100%, 100%), (99.58%, 99.15%), (99.55%, 99.32%), (99.53%, 99.68%), (99.23%, 99.56%) and (99.17%, 99.58%) identity with ITS (AF347031), SSU (KC584507), gapdh (AY278808), rpb2 (KC584375), Alt a1 (AY563301), endoPG (JQ811978), OPA10-2 (KP124632), KOG1058 (KP125233) and tef1 (KC584634) genes/genomic regions of type strain CBS916.96 of A. alternata respectively, confirming the identity of MAAS-1 as A. alternata. For pathogenicity assay, the conidial suspension (2 × 106 conidia/ml) of MAAS-1 isolate was artificially sprayed until runoff on ten healthy oat plants (cv. Kent, 35 days old) and ten plants sprayed with sterile water served as control. All plants were covered with polyethylene covers and kept under the greenhouse at 28 ± 1 ℃. The pathogenicity assay was repeated three times. After six days post-inoculation, small dark-brown spots with light-yellow halo appeared on leaves of MAAS-1inoculated plants. In comparison, no symptoms were observed on control plants. The fungal pathogen was re-isolated from the artificially infected plants and confirmed as A. alternata based on morpho-cultural characteristics and PCR assays. The leaf spot disease of Oat caused by A. alternata has already been reported from China (Chen et al. 2020); to our knowledge, it is the first report of A. alternata causing leaf spot on Oat in India. The leaf spot disease is an emerging threat to oat cultivation, and it reduces the grain yield and leaf quality; therefore, its management is essential for increasing productivity.
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- 2021
21. Morpho‐molecular diversity and avirulence genes distribution among the diverse isolates of Magnaporthe oryzae from Southern India.
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Amoghavarsha, Chittaragi, Pramesh, Devanna, Naik, Ganesh R., Naik, Manjunath K., Yadav, Manoj K., Ngangkham, Umakanta, Chidanandappa, Eranna, Raghunandana, Adke, Sharanabasav, Huded, and E. Manjunatha, Siddepalli
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GENETIC variation , *GENES , *PLANT breeders , *ALLELES , *PHYLOGENY - Abstract
Aims: To investigate the diversity of eco‐distinct isolates of Magnaporthe oryzae for their morphological, virulence and molecular diversity and relative distribution of five Avr genes. Methods and Results: Fifty‐two M. oryzae isolates were collected from different rice ecosystems of southern India. A majority of them (n = 28) formed a circular colony on culture media. Based on the disease reaction on susceptible cultivar (cv. HR‐12), all 52 isolates were classified in to highly virulent (n = 28), moderately virulent (n = 11) and less‐virulent (13) types. Among the 52 isolates, 38 were selected for deducing internal transcribed spacer (ITS) sequence diversity. For deducing phylogeny, another set of 36 isolates from other parts of the world was included, which yielded two distinct phylogenetic clusters. We identified eight haplotype groups and 91 variable sites within the ITS sequences, and haplotype‐group‐2 (Hap_2) was predominant (n = 24). The Tajima's and Fu's Fs neutrality tests exhibited many rare alleles. Furthermore, PCR analysis for detecting the presence of five Avr genes in the different M. oryzae isolates using Avr gene‐specific primers in PCR revealed that Avr‐Piz‐t, Avr‐Pik, Avr‐Pia and Avr‐Pita were present in 73.68%, 73.68%, 63.16% and 47.37% of the isolates studied, respectively; whereas, Avr‐Pii was identified only in 13.16% of the isolates. Conclusions: Morpho‐molecular and virulence studies revealed the significant diversity among eco‐distinct isolates. PCR detection of Avr genes among the M. oryzae population revealed the presence of five Avr genes. Among them, Avr‐Piz‐t, Avr‐Pik and Avr‐Pia were more predominant. Significance and Impact of the Study: The study documented the morphological and genetic variability of eco‐distinct M. oryzae isolates. This is the first study demonstrating the distribution of the Avr genes among the eco‐distinct population of M. oryzae from southern India. The information generated will help plant breeders to select appropriate resistant gene/s combinations to develop blast disease‐resistant rice cultivars. [ABSTRACT FROM AUTHOR]
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- 2022
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22. Antibiotic Resilience in Xanthomonas axonopodis Pv. punicae Causing Bacterial Blight Of Pomegranate
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Sahana N Banakar, Kartar Singh, Priyanka Krishna, H. B. Mahesh, Puneeth M. Eeregowda, B. S. Chandrashekar, Manjunatha Channappa, Pramesh Devanna, M. K. Prasanna Kumar, Venkatesh Babu, and Radhika U. Desai
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Veterinary medicine ,Multidisciplinary ,medicine.drug_class ,Antibiotics ,medicine ,Bacterial blight ,Xanthomonas axonopodis ,Biology ,Resilience (network) - Published
- 2020
23. Comparative genomics of rice false smut fungi Ustilaginoidea virensUv-Gvt strain from India reveals genetic diversity and phylogenetic divergence
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Pramesh, Devanna, Prasannakumar, Muthukapalli K., Muniraju, Kondarajanahally M., Mahesh, H. B., Pushpa, H. D., Manjunatha, Channappa, Saddamhusen, Alase, Chidanandappa, E., Yadav, Manoj K., Kumara, Masalavada K., Sharanabasav, Huded, Rohith, B. S., Banerjee, Gaurab, and Das, Anupam J.
- Abstract
False smut disease of rice caused by Ustilaginoidea virens,is an emerging threat to rice cultivation worldwide due to its detrimental effects on grain yield and quality. False smut disease severity was 4.44‒17.22% during a roving survey in Kharif2016 in the four different rice ecosystems of Karnataka, India. Further, 15 pathogen isolates representing four different ecosystems were studied for their virulence and morphometric diversity. Among the 15 strains studied, most virulent strains Uv-Gvt was selected for whole genome sequencing in Illumina NextSeq 500 platform using 2 × 150 bp sequencing chemistry. The total assembled genome of Uv-Gvt was 26.96 Mb, which comprised of 9157 scaffolds with an N50 value of 15,934 bp and 6628 protein-coding genes. Next, the comparative genomic study revealed a similar gene inventory as UV-8b and MAFF 236576 strains reported from China and Japan, respectively. But, 1756 genes were unique to Uv-Gvt strain. The Uv-Gvt genome harbors 422 putative host–pathogen interacting genes compared to 359 and 520 genes in UV-8b and MAFF 236576 strains, respectively. The variant analysis revealed low genetic diversity (0.073‒0.088%) among U. virensstrains. Further, phylogenetic analysis using 250 single copy orthologs genes of U. virensrevealed a distinct phylogeny and an approximate divergence time. Our study, report the genomic resource of rice false smut pathogen from India, where the disease originated, and this information will have broader applicability in understanding the pathogen population diversity.
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- 2020
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24. Thymol-a plant-based monoterpenoid phenol compound of an essential oil for the management of sheath blight disease of rice.
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Usha I, Pramesh D, Shrikanth B, Raghunandana A, Harish MN, Prasannakumar MK, Sharanabasav H, and Manjunatha C
- Abstract
Sheath blight of rice is a global disease that significantly reduces rice yield. This study reports the antifungal activity of an active compound of essential oil, thymol, at different concentrations against Rhizoctonia solani (strain RS-Gvt). In vitro assay results indicated that thymol concentrations (0.5 mg mL
-1 and 0.25 mg mL-1 ) completely inhibited (100%) the mycelial growth of RS-Gvt (p ≤ 0.01). Microscopic observations of thymol-treated mycelium of RS-Gvt at 0.0312 mg mL-1 and above concentrations, revealed a distorted mycelial morphology with deformed hyphae. Hyphae showed a bead-like appearance, reduction in size, and constriction of the hyphae at uneven points with increased hyphal density often entangling with each other. Further, an on-field experiment was conducted to study the field bio-efficacy of thymol for two consecutive Kharif seasons of 2022 and 2023 using a factorial RCBD design. The disease severity was measured as the percent disease index (PDI), and the results of two seasons were pooled. Pathogen (RS-Gvt) and thymol were inoculated in different combinations/methods as main treatments (M1-M3), and concentrations of thymol (0.0625-1.0 mg ML-1 ) as sub-treatments. The results indicated that all two factors significantly (P = 0.05) influenced the PDI and grain yield. The pooled data of two seasons indicated a significant difference between the main treatments (M1: RS-Gvt + thymol together; M2: thymol sprayed first followed by RS-Gvt; M3: RS-Gvt first followed by thymol spray) on PDI (53.39-59.67) and grain yield (4.16-4.75 t ha-1 ). M1 exhibited a lower PDI (53.39) and a higher grain yield (4.75 t ha-1 ) compared to M2 and M3, indicating a protective mode of action of thymol against sheath blight disease of rice. The sub-treatments have shown significant variation in PDI and grain yield. The PDI and grain yield ranged from 33.70 (at 1 mg mL-1 ) to 66.21 (at 0.0625 mg mL-1 ) and 4.18 (at 1 mg mL-1 ) to 5.26 (at 0.0625 mg mL-1 ) t ha-1 , respectively, among the thymol concentrations. This indicates that increasing concentrations of thymol have negatively influenced the PDI and positively impacted the yield. Therefore, the spray of 1 mg mL-1 of thymol at the potential disease-infection stage is most effective in controlling the sheath blight disease of rice. This study provides an alternative green bioactive compound for controlling the sheath blight disease, and thymol can be included in developing eco-friendly integrated disease management practices. © 2024 Society of Chemical Industry., (© 2024 Society of Chemical Industry.)- Published
- 2024
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25. First report of Alternaria alternata causing leaf blight on little millet (Panicum sumatrense) in India.
- Author
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Praveen B, Nagaraja A, Prasanna Kumar MK, Pramesh D, Palanna KB, and Buella PP
- Abstract
Little millet (LM) is a minor cereal crop grown in the Indian sub-continent. During October 2018, dark brown, circular to oval necrotic spots surrounded by concentric rings were observed on the upper leaf surface of the LM (cv. VS-13) grown in the fields of the University of Agricultural Sciences, Bengaluru, India (13.0784oN, 77.5793oE). As the disease progressed, infected leaves became blighted. Disease incidence up to 53% was recorded in 3 fields of 0.4-hectare area each. Thirty symptomatic leaves were collected to isolate the associated causal organism. The margins of diseased tissue were cut into 5 × 5-mm pieces, surface-sterilized in 75% ethanol for 45 seconds followed by 1% sodium hypochlorite for 1 min, finally rinsed in sterile distilled water five times and placed on PDA. After 7 days of incubation at 25°C, greyish fungal colonies appeared on PDA. Single-spore isolations were performed to obtain ten isolates. Pure cultures of the fungus initially produced light gray aerial mycelia that later turned to dark grey. All isolates formed obclavate to pyriform conidia measured 22.66-48.97μm long and 6.55-13.79µm wide with 1-3 longitudinal and 2-7 transverse septa with a short beak (2.55-13.26µm) (n=50). Based on the conidial morphology, the fungus was identified as Alternaria sp. Further, the taxonomic identity of all ten isolates was confirmed as A. alternata using species-specific primers (AAF2/AAR3, Konstantinova et al. 2002) in a PCR assay. Later, one of the isolate UASB1 was selected, and its internal transcribed spacer (ITS) region, glyceraldehyde-3-phosphate dehydrogenase (gapdh), major allergen Alt a 1 (Alt a 1), major endo-polygalacturonase (endoPG), OPA10-2, and KOG1058 genes were amplified in PCR (White et al. 1990; Berbee et al. 1999; Woudenberg et al. 2015), and the resultant products were sequenced and deposited in the NCBI GenBank (ITS, MN919390; gapdh, MT637185; Alt a 1, MT882339; endoPG, MT882340; OPA10-2, MT882341; KOG1058, MT882342). Blastn analysis of ITS, gapdh, Alt a 1, endoPG, OPA10-2, KOG1058 gene sequences showed 99.62% (with AF347031), 97.36% (with AY278808), 99.58% (with AY563301), 99.10% (with JQ811978), 99.05% (with KP124632) and 99.23% (with KP125233) respectively, identity with reference strain CBS916.96 of A. alternata, confirming UASB1 isolate to be A. alternata. For pathogenicity assay, conidial suspension of UASB1 isolate was spray inoculated to ten healthy LM (cv. VS-13) plants (45 days old) maintained under protected conditions. The spore suspension was sprayed until runoff on healthy leaves, and ten healthy plants sprayed with sterile water served as controls. Later, all inoculated and control plants were covered with transparent polyethylene bags and were maintained in a greenhouse at 28±2 ◦C and 90% RH. The pathogenicity test was repeated three times. After 8 days post-inoculation, inoculated plants showed leaf blight symptoms as observed in the field, whereas no disease symptoms were observed on non-inoculated plants. Re-isolations were performed from inoculated plants, and the re-isolated pathogen was confirmed as A. alternata based on morphological and PCR assay (Konstantinova et al. 2002). No pathogens were isolated from control plants. There is an increasing acreage of LM crop in India, and this first report indicates the need for further studies on leaf blight management and the disease impacts on crop yields.
- Published
- 2020
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