Back

Plant recognition by Trichoderma harzianum elicits upregulation of a novel secondary metabolite cluster required for colonization

Schalamun, M.; Li, G.; Hinterdobler, W.; Grosskinsky, D. K.; Compant, S.; Dreux-Zigha, A.; Schmoll, M.

2023-04-12 microbiology
10.1101/2023.04.12.536597 bioRxiv
Show abstract

Trichoderma harzianum is a filamentous ascomycete frequently applied as biocontrol agent in agriculture. While mycoparasitism and antagonism of Trichoderma spp. against fungal pathogens are well known, early fungal responses to the presence of a plant await broader investigation. Analyzing early stages of plant-fungus communication we show that T. harzianum B97 chemotropically responds to a plant extract and that both plant and fungus alter secondary metabolite secretion upon recognition. We developed a strategy for omics-analysis simulating conditions of early plant recognition eliciting a chemotropic response in the fungus and found 102 genes to be differentially regulated, including nitrate and nitrite reductases. Additionally, the previously uncharacterized Plant Communication Associated (PCA) gene cluster was strongly induced upon recognition of the plant, comprises a palindromic DNA motif and was essential for plant colonization. The PCA-cluster is only present in the Harzianum clade of Trichoderma and closely related to a homologous cluster in Metarhizium spp. Horizontal gene transfer (HGT) was detected for PCA-cluster genes by plants, while the cluster in T. harzianum is likely under balancing or positive selection. Hence, the PCA-cluster mediates early fungus-plant chemical communication and may be responsible for the high potential of T. harzianum and closely related species for biocontrol applications. Plain language summaryInteractions of plants with fungi - beneficial or pathogenic - are crucial for the ecological function of both partners. Yet, the chemical "language" they use and how or when they use it is still insufficiently known. We describe discovery of a novel gene cluster, which is strongly induced upon plant recognition and essential for plant-fungal interkingdom interaction in the biocontrol-agent Trichoderma harzianum.

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

1
mBio
750 papers in training set
Top 1%
12.1%
2
PLOS Pathogens
721 papers in training set
Top 2%
6.2%
3
Microbiological Research
19 papers in training set
Top 0.1%
6.1%
4
Nature Communications
4913 papers in training set
Top 34%
4.7%
5
PLOS Biology
408 papers in training set
Top 2%
4.2%
6
New Phytologist
309 papers in training set
Top 2%
3.8%
7
Journal of Fungi
31 papers in training set
Top 0.1%
3.8%
8
mSphere
281 papers in training set
Top 1%
3.8%
9
mSystems
361 papers in training set
Top 3%
3.5%
10
eLife
5422 papers in training set
Top 28%
3.5%
50% of probability mass above
11
Scientific Reports
3102 papers in training set
Top 39%
3.5%
12
PLOS Genetics
756 papers in training set
Top 5%
3.5%
13
Environmental Microbiology
119 papers in training set
Top 1%
3.0%
14
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 25%
2.6%
15
Molecular Plant Pathology
22 papers in training set
Top 0.1%
2.5%
16
ISME Communications
103 papers in training set
Top 0.8%
2.5%
17
The ISME Journal
194 papers in training set
Top 1%
1.7%
18
BMC Biology
248 papers in training set
Top 1%
1.7%
19
Molecular Plant-Microbe Interactions®
55 papers in training set
Top 0.2%
1.6%
20
Frontiers in Microbiology
375 papers in training set
Top 6%
1.6%
21
Microbial Biotechnology
29 papers in training set
Top 0.4%
1.6%
22
Frontiers in Plant Science
240 papers in training set
Top 4%
1.2%
23
Cell Host & Microbe
113 papers in training set
Top 4%
1.2%
24
Current Biology
596 papers in training set
Top 12%
1.2%
25
Fungal Genetics and Biology
14 papers in training set
Top 0.2%
1.1%
26
Communications Biology
886 papers in training set
Top 16%
1.1%
27
Phytopathology®
28 papers in training set
Top 0.5%
0.9%
28
Microbiology Spectrum
435 papers in training set
Top 5%
0.9%
29
iScience
1063 papers in training set
Top 31%
0.8%
30
Microbiome
139 papers in training set
Top 3%
0.8%