Back

Regional Diversity and Leaf Microbiome Interactions of the Fungal Maize Pathogen Exserohilum turcicum in Switzerland: AMetagenomic Analysis

Vidal-Villarejo, M.; Doesselmann, B.; Kogler, B.; Hammerschmidt, M.; Oppliger, B.; Oppliger, H.; Schmid, K. J.

2024-04-18 plant biology
10.1101/2024.04.18.590055 bioRxiv
Show abstract

The spread and adaptation of fungal plant pathogens in agroecosystems are facilitated by environmental homogeneity. Metagenomic sequencing of infected tissues allows to monitor eco-evolutionary dynamics and interactions betwen host, pathogen and the plant microbiome. Exserohilum turcicum, the causal agent of northern corn leaf blight (NCLB) in maize, is distributed in multiple clonal lineages throughout Europe. To characterize regional pathogen diversity, we conducted metagenomic DNA sequencing on 241 infected leaf samples from the highly susceptible Swiss maize landrace Rheintaler Ribelmais, collected over three years (2016-2018) from an average of 14 agricultural farms within the Swiss Rhine Valley. All major European clonal lineages of E. turcicum were identified. Lineages differ by their mating types which indicates potential for sexual recombination and rapid evolution of new pathogen strains, although we found no evidence of recent recombination. The associated eukaryotic and prokaryotic leaf microbiome exhibited variation in taxonomic diversity between years and locations and is likely influenced by local weather conditions. A network analysis revealed distinct clusters of eukaryotic and prokaryotic taxa that correlates with the frequency of E. turcicum sequencing reads, suggesting causal interactions. Notably, the yeast genus Metschnikowia exhibited a strongly negative correlation, supporting its known potential as biological control agent against fungal pathogens. Our findings show that metagenomic sequencing is a useful tool for analyzing the role of environmental factors and potential pathogen-microbiome interactions in shaping pathogen dynamics and evolution, suggesting their potential for effective pathogen management strategies.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Environmental Microbiology
119 papers in training set
Top 0.1%
12.0%
2
Microbiome
139 papers in training set
Top 0.2%
11.9%
3
Microorganisms
101 papers in training set
Top 0.1%
9.7%
4
Frontiers in Plant Science
240 papers in training set
Top 1%
7.9%
5
Nature Communications
4913 papers in training set
Top 26%
6.9%
6
Scientific Reports
3102 papers in training set
Top 32%
3.8%
50% of probability mass above
7
New Phytologist
309 papers in training set
Top 2%
3.5%
8
Phytopathology®
28 papers in training set
Top 0.2%
3.5%
9
Phytobiomes Journal
24 papers in training set
Top 0.1%
3.0%
10
Molecular Ecology
304 papers in training set
Top 2%
2.5%
11
Environmental Microbiome
26 papers in training set
Top 0.2%
2.0%
12
BMC Biology
248 papers in training set
Top 1.0%
1.8%
13
The Plant Journal
197 papers in training set
Top 2%
1.6%
14
Plant and Soil
14 papers in training set
Top 0.1%
1.6%
15
The ISME Journal
194 papers in training set
Top 2%
1.6%
16
Environmental Microbiology Reports
27 papers in training set
Top 0.4%
1.4%
17
BMC Plant Biology
47 papers in training set
Top 0.5%
1.4%
18
Journal of Experimental Botany
195 papers in training set
Top 2%
1.3%
19
PLOS ONE
4510 papers in training set
Top 59%
1.3%
20
Communications Biology
886 papers in training set
Top 15%
1.2%
21
FEMS Microbiology Ecology
47 papers in training set
Top 0.4%
0.9%
22
Journal of Fungi
31 papers in training set
Top 0.5%
0.8%
23
Plant Pathology
16 papers in training set
Top 0.3%
0.7%
24
Fungal Genetics and Biology
14 papers in training set
Top 0.3%
0.7%
25
Peer Community Journal
254 papers in training set
Top 4%
0.7%
26
Plant Physiology
217 papers in training set
Top 3%
0.7%
27
Soil Biology and Biochemistry
29 papers in training set
Top 0.3%
0.6%
28
Evolutionary Applications
91 papers in training set
Top 2%
0.6%
29
Molecular Plant Pathology
22 papers in training set
Top 0.3%
0.6%
30
Molecular Plant-Microbe Interactions®
55 papers in training set
Top 0.5%
0.6%