Moderate disease resistance in rice cultivars enhances the bio-efficacy of fungicides against blast disease

Pramesh, D.; Chidanandappa, E.; Kumar, Mukesh; Chittaragi, Amoghavarsha; Yadav, Manoj Kumar; Pushpa, H D; Parivallal, Buela P; Sumangala, N.; Raj, Esac E.; Narayan, Karthik S.

doi:10.1007/s42360-022-00582-w

Cited by 1 publication

(2 citation statements)

References 17 publications

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“…Further, water was sprayed 4–6 times a day for seven days to maintain high humidity and facilitate the disease development. Parallelly, blast disease pressure in the screening plots was augmented as described previously 57 . Briefly, blast disease-infected leaf samples were collected from naturally infected diseased plants under field conditions and were incubated overnight in a polythene cover to promote sporulation.…”

Section: Methodsmentioning

confidence: 99%

“…This process was repeated continuously for 3–4 days in an interval of 3 days. This approach specifically helpful for slow blast phenotyping, where the disease occurrence is slow 57 . Disease scoring was done after the susceptible check reached the highest score (9), approximately 7 days post inoculation, and scoring was repeated six times in 5-day intervals to avoid the escape of slow-blasting genotypes.…”

Section: Methodsmentioning

confidence: 99%

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Refinement of rice blast disease resistance QTLs and gene networks through meta-QTL analysis

Devanna,

Sucharita,

Sunitha

et al. 2024

Sci Rep

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Rice blast disease is the most devastating disease constraining crop productivity. Vertical resistance to blast disease is widely studied despite its instability. Clusters of genes or QTLs conferring blast resistance that offer durable horizontal resistance are important in resistance breeding. In this study, we aimed to refine the reported QTLs and identify stable meta-QTLs (MQTLs) associated with rice blast resistance. A total of 435 QTLs were used to project 71 MQTLs across all the rice chromosomes. As many as 199 putative rice blast resistance genes were identified within 53 MQTL regions. The genes included 48 characterized resistance gene analogs and related proteins, such as NBS–LRR type, LRR receptor-like kinase, NB-ARC domain, pathogenesis-related TF/ERF domain, elicitor-induced defense and proteins involved in defense signaling. MQTL regions with clusters of RGA were also identified. Fifteen highly significant MQTLs included 29 candidate genes and genes characterized for blast resistance, such as Piz, Nbs-Pi9, pi55-1, pi55-2, Pi3/Pi5-1, Pi3/Pi5-2, Pikh, Pi54, Pik/Pikm/Pikp, Pb1 and Pb2. Furthermore, the candidate genes (42) were associated with differential expression (in silico) in compatible and incompatible reactions upon disease infection. Moreover, nearly half of the genes within the MQTL regions were orthologous to those in O. sativa indica, Z. mays and A. thaliana, which confirmed their significance. The peak markers within three significant MQTLs differentiated blast-resistant and susceptible lines and serve as potential surrogates for the selection of blast-resistant lines. These MQTLs are potential candidates for durable and broad-spectrum rice blast resistance and could be utilized in blast resistance breeding.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%