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Peer-reviewedCC BY 4.0Peer Community Journal

Monoclonal anti-dsRNA antibody-based metagenomics (MADAM) reveal Pyricularia oryzae mycovirome

Abstract

This study introduces MADAM (Monoclonal Anti-dsRNA Antibody-Based Metagenomics), a novel approach that integrates multiple technical modules previously used independently in other protocols. MADAM combines monoclonal antibody-mediated double-stranded RNA (dsRNA) enrichment, sequence-independent RT-PCR, and Oxford Nanopore Technologies (ONT) sequencing. Applied to Pyricularia oryzae, the causal agent of rice blast disease, MADAM enabled the comprehensive characterization of mycovirus genomes from four fungal isolates collected in Yunnan, China. The approach achieved high viral read recovery rates (46.9-72.7%) and identified 18 P. oryzae-associated RNA viruses spanning seven families: Botourmiaviridae, Deltaormycoviridae, Mymonaviridae, Partitiviridae, Polymycoviridae, Splipalmiviridae, and Ambiguiviridae. Seventeen nearly complete to complete viral genomes (1,226-6,085 nucleotides) were recovered, with sequence coverage ranging from 88% to 100%. Co-infections were detected in three of the four isolates, with notable discoveries including the first deltaormycovirus reported in P. oryzae, a putative novel member of Botourmiaviridae, and an additional genomic segment of a polymycovirus. MADAM successfully detected positive-sense, negative-sense ssRNA, and dsRNA viruses, demonstrating its broad applicability. By uncovering novel viruses and resolving complex co-infections, this method proves invaluable for fungal virology, with potential applications in diagnostics, surveillance, and biological control. Ultimately, MADAM advances our understanding of fungal viral diversity and paves the way for further exploration of mycovirus ecology and evolution.

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BibTeX
@article{blondin2026monoclonal,
  title = {{Monoclonal anti-dsRNA antibody-based metagenomics (MADAM) reveal Pyricularia oryzae mycovirome}},
  author = {Laurence Blondin and Denis Filloux and Emmanuel Fernandez and Henri Adreit and Huichuan Huang and Elisabeth Fournier and Didier Tharreau and Philippe Roumagnac},
  journal = {Peer Community Journal},
  year = {2026},
  month = oct,
  doi = {10.24072/pcjournal.782},
  url = {https://hal.science/hal-05796356v1},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Monoclonal anti-dsRNA antibody-based metagenomics (MADAM) reveal Pyricularia oryzae mycovirome
AU  - Laurence Blondin
AU  - Denis Filloux
AU  - Emmanuel Fernandez
AU  - Henri Adreit
AU  - Huichuan Huang
AU  - Elisabeth Fournier
AU  - Didier Tharreau
AU  - Philippe Roumagnac
PY  - 2026
DA  - 2026/10/13
JO  - Peer Community Journal
DO  - 10.24072/pcjournal.782
UR  - https://hal.science/hal-05796356v1
AB  - This study introduces MADAM (Monoclonal Anti-dsRNA Antibody-Based Metagenomics), a novel approach that integrates multiple technical modules previously used independently in other protocols. MADAM combines monoclonal antibody-mediated double-stranded RNA (dsRNA) enrichment, sequence-independent RT-PCR, and Oxford Nanopore Technologies (ONT) sequencing. Applied to Pyricularia oryzae, the causal agent of rice blast disease, MADAM enabled the comprehensive characterization of mycovirus genomes from four fungal isolates collected in Yunnan, China. The approach achieved high viral read recovery rates (46.9-72.7%) and identified 18 P. oryzae-associated RNA viruses spanning seven families: Botourmiaviridae, Deltaormycoviridae, Mymonaviridae, Partitiviridae, Polymycoviridae, Splipalmiviridae, and Ambiguiviridae. Seventeen nearly complete to complete viral genomes (1,226-6,085 nucleotides) were recovered, with sequence coverage ranging from 88% to 100%. Co-infections were detected in three of the four isolates, with notable discoveries including the first deltaormycovirus reported in P. oryzae, a putative novel member of Botourmiaviridae, and an additional genomic segment of a polymycovirus. MADAM successfully detected positive-sense, negative-sense ssRNA, and dsRNA viruses, demonstrating its broad applicability. By uncovering novel viruses and resolving complex co-infections, this method proves invaluable for fungal virology, with potential applications in diagnostics, surveillance, and biological control. Ultimately, MADAM advances our understanding of fungal viral diversity and paves the way for further exploration of mycovirus ecology and evolution.
SN  - 2804-3871
SN  - 2804-3871
ER  -