Back

Molecular Basis of Mycoparasitic Performance: Genomic and Transcriptomic Comparison of Contrasting Trichoderma atroviride Strains

Bremand, E.; Bastide, F.; Colou, J.; Denance, N.; Boisard, S.; Ruiz, N.; Bertrand, S.; Marchi, M.; Verdier, J.; Guillemette, T.

2026-06-26 genomics
10.64898/2026.06.22.733667 bioRxiv
Show abstract

Trichoderma species are widely used as biological control agents due to their ability to parasitize plant pathogens. However, substantial variability in mycoparasitic performance exists among strains, even within the same species, and the underlying molecular mechanisms remain poorly understood. Here, we performed comparative genomic and transcriptomic analyses of six Trichoderma atroviride strains exhibiting contrasting mycoparasitic performance (weakly or highly parasitic; WP or HP) against Alternaria brassicicola, Rhizoctonia solani, and Globisporangium ultimum. Comparative genomics revealed limited strain-specific differences, mainly restricted to NLR (NOD-like receptor) repertoires, with certain NLR-coding genes absent from WP strain genomes compared to HP strains, while overall genomic variation remained low. In contrast, transcriptomic analyses revealed strong differences in gene expression dynamics between HP and WP strains. Co-expression network analysis identified two modules associated with mycoparasitic performance. The first was specifically induced in response to pathogen contact and was enriched in genes encoding cell wall-degrading enzymes, with stronger expression in HP strains. The second module was more broadly overexpressed in HP strains across all conditions and included genes involved in detoxification and defense-related pathways. In addition, this module encompassed genes involved in specialized metabolite biosynthesis and effector-like protein secretion, with WP and HP strains differentially expressing distinct gene subsets within these categories. Together, these results provide a comprehensive framework for identifying the molecular drivers of mycoparasitic performance in T. atroviride. This study deepens our understanding of the functional diversity within the species and establishes a robust foundation for the future development of molecular markers to predict strain efficiency.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Molecular Plant Pathology
25 papers in training set
Top 0.1%
27.2%
2
Molecular Plant-Microbe Interactions®
57 papers in training set
Top 0.1%
15.5%
3
Scientific Reports
3612 papers in training set
Top 19%
5.0%
4
BMC Genomics
406 papers in training set
Top 1%
4.5%
50% of probability mass above
5
Frontiers in Microbiology
427 papers in training set
Top 2%
4.5%
6
New Phytologist
346 papers in training set
Top 3%
2.4%
7
Frontiers in Fungal Biology
10 papers in training set
Top 0.1%
2.4%
8
Microbiology Spectrum
469 papers in training set
Top 6%
2.2%
9
PLOS Pathogens
820 papers in training set
Top 5%
2.2%
10
PLOS ONE
5266 papers in training set
Top 47%
1.8%
11
Microbial Pathogenesis
17 papers in training set
Top 0.1%
1.7%
12
Environmental Microbiology
133 papers in training set
Top 2%
1.5%
13
GENETICS
483 papers in training set
Top 3%
1.2%
14
G3: Genes, Genomes, Genetics
252 papers in training set
Top 3%
1.2%
15
Communications Biology
993 papers in training set
Top 20%
1.2%
16
BMC Plant Biology
57 papers in training set
Top 1%
1.2%
17
Nature Communications
5641 papers in training set
Top 50%
1.2%
18
BMC Biology
265 papers in training set
Top 4%
1.1%
19
mBio
833 papers in training set
Top 10%
0.9%
20
Journal of Experimental Botany
219 papers in training set
Top 3%
0.9%
21
PLOS Genetics
862 papers in training set
Top 11%
0.9%
22
FEMS Microbiology Ecology
54 papers in training set
Top 1%
0.9%
23
The Plant Journal
215 papers in training set
Top 3%
0.9%
24
PLOS Computational Biology
1863 papers in training set
Top 19%
0.9%
25
Evolutionary Applications
108 papers in training set
Top 1%
0.9%
26
mSystems
394 papers in training set
Top 6%
0.9%
27
Plant Direct
95 papers in training set
Top 2%
0.9%
28
Applied and Environmental Microbiology
339 papers in training set
Top 5%
0.6%
29
G3: Genes|Genomes|Genetics
35 papers in training set
Top 0.5%
0.6%
30
Environmental Microbiology Reports
31 papers in training set
Top 1%
0.6%