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Malik VK, Sangwan P, Singh M, Kumari P, Shoeran N, Ahalawat N, Kumar M, Deep H, Malik K, Verma P, Yadav P, Kumari S, Aakash, Dhal S. Stem Rot of Pearl Millet Prevalence, Symptomatology, Disease Cycle, Disease Rating Scale and Pathogen Characterization in Pearl Millet-Klebsiella Pathosystem. Plant Pathol J 2024; 40:48-58. [PMID: 38326958 PMCID: PMC10850534 DOI: 10.5423/ppj.oa.09.2023.0126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 12/14/2023] [Accepted: 12/29/2023] [Indexed: 02/09/2024]
Abstract
The oldest and most extensively cultivated form of millet, known as pearl millet (Pennisetum glaucum (L.) R. Br. Syn. Pennisetum americanum (L.) Leeke), is raised over 312.00 lakh hectares in Asian and African countries. India is regarded as the significant hotspot for pearl millet diversity. In the Indian state of Haryana, where pearl millet is grown, a new and catastrophic bacterial disease known as stem rot of pearl millet spurred by the bacterium Klebsiella aerogenes (formerly Enterobacter) was first observed during fall 2018. The disease appears in form of small to long streaks on leaves, lesions on stem, and slimy rot appearance of stem. The associated bacterium showed close resemblance to Klebsiella aerogenes that was confirmed by a molecular evaluation based on 16S rDNA and gyrA gene nucleotide sequences. The isolates were also identified to be Klebsiella aerogenes based on biochemical assays, where Klebsiella isolates differed in D-trehalose and succinate alkalisation tests. During fall 2021-2023, the disease has spread all the pearl millet-growing districts of the state, extending up to 70% disease incidence in the affected fields. The disease is causing considering grain as well as fodder losses. The proposed scale, consisting of six levels (0-5), is developed where scores 0, 1, 2, 3, 4, and 5 have been categorized as highly resistant, resistant, moderately resistant, moderately susceptible, susceptible, and highly susceptible disease reaction, respectively. The disease cycle, survival of pathogen, and possible losses have also been studied to understand other features of the disease.
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Affiliation(s)
- Vinod Kumar Malik
- Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India
| | - Pooja Sangwan
- Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India
| | - Manjeet Singh
- Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India
| | - Pavitra Kumari
- Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India
| | - Niharika Shoeran
- Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India
| | - Navjeet Ahalawat
- Department of Bioinformatics and Computational Biology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India
| | - Mukesh Kumar
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India
| | - Harsh Deep
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India
| | - Kamla Malik
- Department of Microbiology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India
| | - Preety Verma
- Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India
| | - Pankaj Yadav
- Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India
| | - Sheetal Kumari
- Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India
| | - Aakash
- Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, India
| | - Sambandh Dhal
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77840, USA
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Malik VK, Singh M, Sangwan P, Kumari P, Sharma BL, Kumari P, Verma P, Yadav P, Sheoran N, Singh A, Singh DP, Arya SK, Ahalawat N, Malik J. First report of Klebsiella Leaf Streak on Sorghum Caused by Klebsiella variicola in Haryana, India. Plant Dis 2023; 107:2215. [PMID: 36593667 DOI: 10.1094/pdis-09-22-2200-pdn] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Sorghum (Sorghum bicolor [L.] Moench) is one of the top ten cereal crops in the world and is grown for fodder and seed purposes. During the fall of 2019 to 2022, a disease causing small to long streaks on leaves was observed in sorghum fields of Hisar (29° 9' 6.6996'' N, 75° 43' 16.0428'' E), Rohtak (28° 53' 43.8540'' N, 76° 36' 23.8068'' E) and Mohindergarh (28° 16' 6.0492'' N, 76° 9' 3.3552'' E) regions of Haryana between July and October. The reddish brown streaks were observed in the interveinal spaces of upper and lower leaves. The disease incidence reached 20-30% of plants in affected fields. The diseased leaf tissues were disinfected with 70% alcohol and placed in a tube with sterile water. After 30 minutes, 100 µl of the suspension was inoculated onto nutrient agar medium, incubated at 28 ± 2°C for three days, and a pure culture was obtained by restreaking on nutrient agar (Janse, 2005). The rod-shaped gram-negative bacterium with round, cream to white colonies was positive for methyl red, citrate utilization, urease activity, and glucose, lactose, sorbitol, rhamnose and sucrose fermentation tests. The genomic DNA of the bacterial suspension was extracted and 16S rDNA was amplified using universal 27F/1492R primers (Marchesi et al. 1998), resulting in tentative identification as Klebsiella sp. It was further confirmed with PCR amplification of Klebsiella specific primers (F:5'-CGCGTACTATACGCCATGAACGTA-3'; R:5'-ACCGTTGATCACTTCGGTCAGG-3') for gyrA gene (Brisse and Verhoef 2001). Discrete PCR amplicons of 1,500 (16S rDNA) and 300 bp (gyrA) were observed in a 1% (w/v) agarose gel. Forward and reverse DNA sequencing of both amplicons of the Hisar isolate (VMKV101) was carried out using a BDT v3.1 Cycle sequencing kit and consensus sequences were generated by using the program SeqMan Ultra (DNASTAR Lasergene). Sequences of the PCR products were deposited in GenBank with accession numbers MZ569433 (16S rDNA) and OP390080 (gyrA). The 16S rDNA sequence was 97.32% similar to K. variicola strain 13450 (CP026013; 1,450/1,490 bp) and the gyrA sequence had 99.66% similarity to K. variicola strain FH-1 (CP054254; 297/298 bp). A 16S RNA-based phylogenetic tree done by MEGA11 (Tamura et al. 2021) using the Maximum Likelihood method showed that strain VMKV101 clustered with K. variicola type strain F2R9. The complete bacterial genome (GCA025629215), sequenced by the Ion GeneStudio S5 system using Ion 530 chips (Thermo Fisher Scientific), was 99.03% identical by average nucleotide identity (ANI) to the type genome (CP045783) of Klebsiella variicola, with 87.8% genome coverage. For pathogenicity testing, a bacterial suspension (10 ml, 1×107 colony forming units/ml) was injected into the whole whorl after mechanical injury on 15-20 days old seedlings of the susceptible genotype HC-171, then plants were incubated at 35 ± 2°C, >80% relative humidity. Control plants were injected with sterile distilled water. Initial symptoms were observed on leaves of inoculated plants after 5 to 7 days as narrow, small longitudinal reddish brown streaks. As the disease progressed, the streaks on the leaf blade increased in number and size maintaining the reddish brown color. These streaks had slightly wavy margins and were surrounded by bright yellow halos. After 15 to 20 days, the streaks were 0.5 to 2.0 mm wide and 1.0 to 5.0 cm long, occasionally up to 10.0 cm long on both side of the leaves. Over time, neighboring streaks coalesced to form large necrotic areas. All inoculated plants exhibited identical symptoms. No symptoms were observed on control leaves. The reisolated bacterium from diseased sorghum leaves showed exactly the same morphological, biochemical and 16S RNA and gyrA molecular characteristics. To our knowledge, this is the first report of K. variicola causing a leaf streak disease on sorghum. Klebsiella species primarily cause diseases in humans and animals, but K. variicola has been found to incite banana soft rot (Fan et al. 2015) and K. aerogenes to cause stem rot in pearl millet (Malik et al. 2022). Differences of prevalence, spread and control between K. variicola and two other bacteria (Xanthomonas vasicola pv. holcicola causing Bacterial leaf streak; Paraburkholderia andropogonis causing Bacterial leaf stripe) causing leaf streak diseases on sorghum need to be determined. The identification of Klebsiella leaf streak disease lays the groundwork for future investigations into epidemiology and management of K. variicola on sorghum.
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Affiliation(s)
- Vinod Kumar Malik
- CCS HAU, 29052, Plant Pathology, Dr V K Malik, Deptt. of Plant Pathology, College of Agriculture, CCSHAU, Hisar, Hisar, Haryana, India, 125004;
| | - Manjeet Singh
- CCS HAU, 29052, Genetics and Plant Breeding, Hisar, Haryana, India;
| | - Pooja Sangwan
- CCS HAU, 29052, Plant Pathology, Hisar, Haryana, India;
| | - Pummy Kumari
- CCS HAU, 29052, Genetics and Plant Breeding, Hisar, Haryana, India;
| | | | | | - Preety Verma
- CCS HAU, 29052, Plant Pathology, Hisar, Haryana, India;
| | - Pankaj Yadav
- CCS HAU, 29052, Plant Pathology, Hisar, Haryana, India;
| | | | - Ajit Singh
- CCS HAU, 29052, Plant Patholgy, Hisar, Haryana, India;
| | | | | | - Navjeet Ahalawat
- CCS HAU, 29052, Bioinformatics and Computational Biology, Hisar, Haryana, India;
| | - Janvi Malik
- CCS HAU, 29052, Plant Pathology, Hisar, Haryana, India;
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Li C, Wang T, Gu J, Qi S, Li J, Chen L, Wu H, Shi L, Song C, Li H, Zhu L, Lu Y, Zhou Q. SMARCC2 mediates the regulation of DKK1 by the transcription factor EGR1 through chromatin remodeling to reduce the proliferative capacity of glioblastoma. Cell Death Dis 2022; 13:990. [PMID: 36418306 PMCID: PMC9684443 DOI: 10.1038/s41419-022-05439-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 10/25/2022] [Accepted: 11/14/2022] [Indexed: 11/25/2022]
Abstract
Switch/sucrose-nonfermenting (SWI/SNF) complexes play a key role in chromatin remodeling. Recent studies have found that SMARCC2, as the core subunit of the fundamental module of the complex, plays a key role in its early assembly. In this study, we found a unique function of SMARCC2 in inhibiting the progression of glioblastoma by targeting the DKK1 signaling axis. Low expression of SMARCC2 is found in malignant glioblastoma (GBM) compared with low-grade gliomas. SMARCC2 knockout promoted the proliferation of glioblastoma cells, while its overexpression showed the opposite effect. Mechanistically, SMARCC2 negatively regulates transcription by dynamically regulating the chromatin structure and closing the promoter region of the target gene DKK1, which can be bound by the transcription factor EGR1. DKK1 knockdown significantly reduced the proliferation of glioblastoma cell lines by inhibiting the PI3K-AKT pathway. We also studied the functions of the SWIRM and SANT domains of SMARCC2 and found that the SWIRM domain plays a more important role in the complete chromatin remodeling function of SMARCC2. In addition, in vivo studies confirmed that overexpression of SMARCC2 could significantly inhibit the size of intracranial gliomas in situ in nude mice. Overall, this study shows that SMARCC2, as a tumor suppressor, inhibits the proliferation of glioblastoma by targeting the transcription of the oncogene DKK1 through chromatin remodeling, indicating that SMARCC2 is a potentially attractive therapeutic target in glioblastoma.
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Affiliation(s)
- Chiyang Li
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Tong Wang
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Junwei Gu
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Songtao Qi
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China ,grid.284723.80000 0000 8877 7471Nanfang Neurology Research Institution, Nanfang Hospital, Southern Medical University, Guangzhou, China ,Nanfang Glioma Center, Guangzhou, China
| | - Junjie Li
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Lei Chen
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Hang Wu
- grid.284723.80000 0000 8877 7471Department of Hematology, Nanfang Hospital, Southern Medical University, 510000 Guangzhou, Guangdong P.R. China
| | - Linyong Shi
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Chong Song
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Hong Li
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Liwen Zhu
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Yuntao Lu
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China ,grid.284723.80000 0000 8877 7471Nanfang Neurology Research Institution, Nanfang Hospital, Southern Medical University, Guangzhou, China ,Nanfang Glioma Center, Guangzhou, China
| | - Qiang Zhou
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China ,grid.284723.80000 0000 8877 7471Nanfang Neurology Research Institution, Nanfang Hospital, Southern Medical University, Guangzhou, China ,Nanfang Glioma Center, Guangzhou, China
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