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Molecular characterization of Indian races of Fusarium oxysporum f. sp. lentis (Fol) based on secreted in Xylem (SIX) effector genes and development of a SIX11 gene-based molecular marker for specific detection of Fol.
Nishmitha, K; Bashyal, Bishnu Maya; Dubey, S C; Kamil, Deeba.
Affiliation
  • Nishmitha K; Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
  • Bashyal BM; Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
  • Dubey SC; Birsa Agricultural University, Jharkhand, 834006, India.
  • Kamil D; Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India. deebakamil@gmail.com.
Arch Microbiol ; 206(4): 200, 2024 Apr 02.
Article in En | MEDLINE | ID: mdl-38564016
ABSTRACT
Fusarium wilt of lentil caused by Fusarium oxysporum f. sp. lentis (Fol) is a destructive pathogen limiting lentil production in India. In the present study, Secreted in Xylem (SIX) effectors genes were explored in Indian races of Fol and also a diagnostic tool for reliable detection of the disease was developed. Four SIX effectors genes, SIX11, SIX13, SIX6 and SIX2 were identified in 12 isolates of Fol belonging to seven races. SIX11 was present in all the races while SIX 13 was absent in race 6 and SIX6 was present only in race 4. The phylogenetic analysis revealed the conserved nature of the SIX genes within the forma specialis and showed sequence homology with F. oxysporum f. sp. pisi. The presence of three effectors, SIX11, SIX13 and SIX6 in race 4 correlates with high disease incidence in lentil germplasms. The in-silico characterization revealed the presence of signal peptide and localization of the effectors. Further SIX11 effector gene present in all the isolates was used to develop Fol-specific molecular marker for accurate detection. The marker developed could differentiate F. oxysporum f. sp. lycopersici, F. solani, F. oxysporum, Rhizoctonia solani and Sclerotium rolfsii and had a detection limit of 0.01ng µL- 1. The effector-based marker detection helps in the unambiguous detection of the pathogen under field conditions.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Fusarium Language: En Journal: Arch Microbiol Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Fusarium Language: En Journal: Arch Microbiol Year: 2024 Document type: Article Affiliation country: Country of publication: