Back

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

Blondin, L.; Filloux, D.; Fernandez, E.; Adreit, H.; Huang, H.; Fournier, E.; Tharreau, D.; Roumagnac, P.

2026-05-19 microbiology
10.64898/2026.05.18.725940 bioRxiv
Show abstract

Background.Mycoviruses infect fungal cells and represent important components of the global virome with potential biological control applications. The rice blast pathogen Pyricularia oryzae causes devastating crop losses worldwide, yet its mycovirus diversity remains understudied. While traditional dsRNA extraction remains a standard method for virus discovery, recent advancements, such as monoclonal antibody (mAb)-based dsRNA enrichment, offer improved specificity and sensitivity for viral detection. Methods.We developed the monoclonal anti-dsRNA antibody-based metagenomics (MADAM) approach, integrating dsRNA enrichment using 2G4 monoclonal antibody, sequence-independent reverse transcription-PCR with random octamer primers, and Oxford Nanopore Technologies sequencing. Total RNA was extracted from four P. oryzae isolates collected from Yuanyang rice terraces (Yunnan, China). After nuclease treatment, dsRNA was enriched using anti-dsRNA antibodies, followed by strand-switching cDNA synthesis, PCR amplification, and MinION sequencing. Genome gaps and terminal sequences were resolved through targeted RT-PCR and modified 3' RACE approaches. Results.MADAM achieved high viral read recovery rates (46.9-72.7%) and identified 18 P. oryzae-associated RNA viruses across seven families: Botourmiaviridae, Deltaormycoviridae, Mymonaviridae, Partitiviridae, Polymycoviridae, Splipalmiviridae, and Ambiguiviridae. Nearly complete to complete genomes (ranging from 1,226 to 6,085 nucleotides) were recovered, with sequence coverage spanning 88-100%. Co-infections occurred in three out of four isolates. Notable discoveries included the first deltaormycovirus in P. oryzae, a putative novel Botourmiaviridae member, and an additional genomic segment of a polymycovirus. The method detected positive-sense, negative-sense ssRNA, and dsRNA viruses, demonstrating broad applicability.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
ISME Communications
103 papers in training set
Top 0.1%
10.0%
2
Nature Communications
4913 papers in training set
Top 19%
10.0%
3
Microbiome
139 papers in training set
Top 0.3%
9.1%
4
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 0.9%
6.8%
5
Microbiology Spectrum
435 papers in training set
Top 0.4%
4.8%
6
Science China Life Sciences
26 papers in training set
Top 0.3%
4.1%
7
Plant Biotechnology Journal
56 papers in training set
Top 0.3%
3.9%
8
New Phytologist
309 papers in training set
Top 2%
2.6%
50% of probability mass above
9
Scientific Reports
3102 papers in training set
Top 45%
2.6%
10
Genome Biology
555 papers in training set
Top 4%
2.1%
11
Advanced Science
249 papers in training set
Top 10%
1.9%
12
Cell Discovery
54 papers in training set
Top 2%
1.9%
13
Virus Evolution
140 papers in training set
Top 0.7%
1.8%
14
mSystems
361 papers in training set
Top 4%
1.8%
15
Nature Microbiology
133 papers in training set
Top 2%
1.7%
16
Nucleic Acids Research
1128 papers in training set
Top 11%
1.7%
17
Communications Biology
886 papers in training set
Top 9%
1.7%
18
Genome Medicine
154 papers in training set
Top 5%
1.7%
19
mBio
750 papers in training set
Top 8%
1.6%
20
Viruses
318 papers in training set
Top 3%
1.6%
21
Briefings in Bioinformatics
326 papers in training set
Top 5%
1.3%
22
iScience
1063 papers in training set
Top 22%
1.2%
23
Cell Reports
1338 papers in training set
Top 30%
0.9%
24
PLOS Biology
408 papers in training set
Top 17%
0.9%
25
Water Research
74 papers in training set
Top 1%
0.9%
26
Frontiers in Microbiology
375 papers in training set
Top 8%
0.9%
27
PLOS ONE
4510 papers in training set
Top 66%
0.8%
28
Med
38 papers in training set
Top 0.7%
0.8%
29
mSphere
281 papers in training set
Top 6%
0.8%
30
Microbiology Resource Announcements
22 papers in training set
Top 0.9%
0.7%