Evidence map›Paper›PMID 39013915›Full record

ArticleScientific reports2024

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

Basavantraya Navadagi Devanna, Sumali Sucharita, N C Sunitha, C Anilkumar, Pankaj K Singh, D Pramesh, Sanghamitra Samantaray, Lambodar Behera, Jawahar Lal Katara, C Parameswaran and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. A century of advances in molecular genetics and breeding for sustainable resistance to rice blast disease.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  8. Article
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  11. The Role of Genetic Resistance in Rice Disease Management.International journal of molecular sciences · 2025
    Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

14 authors.

Basavantraya Navadagi Devanna *ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India. devanna@icar.gov.in.
Sumali Sucharita *ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
N C Sunitha *ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
C Anilkumar *ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
Pankaj K SinghDepartment of Biotechnology, University Centre for Research and Development, Chandigarh University, Mohali, Punjab, 140413, India.
D PrameshUniversity of Agricultural Sciences, Raichur, Karnataka, India.
Sanghamitra SamantarayICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
Lambodar BeheraICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
Jawahar Lal KataraICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
C ParameswaranICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
Prachitara RoutICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
Selvaraj SabarinathanICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
Hosahatti RajashekaraICAR-Directorate of Cashew Research, Puttur, Karnataka, 574202, India.
Tilak Raj Sharma *Division of Crop Science, Indian Council of Agricultural Research, Krishi Bhavan, New Delhi, 110001, India. trsharma1965@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Disease ResistanceGene Regulatory NetworksOryzaPlant DiseasesQuantitative Trait LociChromosome MappingChromosomes, PlantGenes, PlantCandidate genesCharacterized genesMagnaporthe oryzaeMeta-QTLOrthologous genesResistance gene analogsRice blast

Identifiers

PMID39013915
PMCPMC11252161

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.