Back

Evolutionary origin, population diversity, and diagnostics for a cryptic hybrid pathogen

Steenwyk, J. L.; Knowles, S. L.; Bastos, R.; Balamurugan, C.; Rinker, D.; Mead, M. E.; Roberts, C. D.; Raja, H. A.; Li, Y.; Colabardini, A. C.; Castro, P. A.; Reis, T. F.; Canovas, D.; Sanchez, R. L.; Lagrou, K.; Torrado, E.; Rodrigues, F.; Oberlies, N. H.; Zhou, X.; Goldman, G.; Rokas, A.

2023-07-03 evolutionary biology
10.1101/2023.07.03.547508 bioRxiv
Show abstract

Cryptic fungal pathogens pose significant identification and disease management challenges due to their morphological resemblance to known pathogenic species while harboring genetic and (often) infection-relevant trait differences. The cryptic fungal pathogen Aspergillus latus, an allodiploid hybrid originating from Aspergillus spinulosporus and an unknown close relative of Aspergillus quadrilineatus within section Nidulantes, remains poorly understood. The absence of accurate diagnostics for A. latus has led to misidentifications, hindering epidemiological studies and the design of effective treatment plans. We conducted an in-depth investigation of the genomes and phenotypes of 44 globally distributed isolates (41 clinical isolates and three type strains) from Aspergillus section Nidulantes. We found that 21 clinical isolates were A. latus; notably, standard methods of pathogen identification misidentified all A. latus isolates. The remaining isolates were identified as A. spinulosporus (8), A. quadrilineatus (1), or A. nidulans (11). Phylogenomic analyses shed light on the origin of A. latus, indicating one or two hybridization events gave rise to the species during the Miocene, approximately 15.4 to 8.8 million years ago. Characterizing the A. latus pangenome uncovered substantial genetic diversity within gene families and biosynthetic gene clusters. Transcriptomic analysis revealed that both parental genomes are actively expressed in nearly equal proportions and respond to environmental stimuli. Further investigation into infection-relevant chemical and physiological traits, including drug resistance profiles, growth under oxidative stress conditions, and secondary metabolite biosynthesis, highlight distinct phenotypic profiles of the hybrid A. latus compared to its parental and closely related species. Leveraging our comprehensive genomic and phenotypic analyses, we propose five genomic and phenotypic markers as diagnostics for A. latus species identification. These findings provide valuable insights into the evolutionary origin, genomic outcome, and phenotypic implications of hybridization in a cryptic fungal pathogen, thus enhancing our understanding of the underlying processes contributing to fungal pathogenesis. Furthermore, our study underscores the effectiveness of extensive genomic and phenotypic analyses as a promising approach for developing diagnostics applicable to future investigations of cryptic and emerging pathogens.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
mBio
750 papers in training set
Top 0.5%
18.7%
2
mSphere
281 papers in training set
Top 0.1%
18.6%
3
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 7%
8.4%
4
Applied and Environmental Microbiology
301 papers in training set
Top 0.8%
3.6%
5
Frontiers in Microbiology
375 papers in training set
Top 3%
3.1%
50% of probability mass above
6
New Phytologist
309 papers in training set
Top 2%
3.1%
7
Nature Communications
4913 papers in training set
Top 42%
3.1%
8
Frontiers in Fungal Biology
10 papers in training set
Top 0.1%
2.9%
9
Molecular Ecology
304 papers in training set
Top 2%
2.7%
10
Environmental Microbiology
119 papers in training set
Top 1%
2.6%
11
Microbial Genomics
204 papers in training set
Top 0.8%
2.4%
12
Cell Host & Microbe
113 papers in training set
Top 2%
2.1%
13
eLife
5422 papers in training set
Top 36%
2.1%
14
Scientific Reports
3102 papers in training set
Top 53%
1.9%
15
G3
33 papers in training set
Top 0.2%
1.7%
16
Fungal Genetics and Biology
14 papers in training set
Top 0.1%
1.5%
17
Current Biology
596 papers in training set
Top 10%
1.5%
18
PLOS Pathogens
721 papers in training set
Top 7%
1.3%
19
mSystems
361 papers in training set
Top 6%
1.1%
20
Microbiology Spectrum
435 papers in training set
Top 4%
0.9%
21
Communications Biology
886 papers in training set
Top 19%
0.9%
22
The ISME Journal
194 papers in training set
Top 2%
0.9%
23
BMC Biology
248 papers in training set
Top 4%
0.8%
24
PLOS Genetics
756 papers in training set
Top 14%
0.8%
25
Microbiome
139 papers in training set
Top 3%
0.7%
26
ISME Communications
103 papers in training set
Top 2%
0.7%
27
Genetics
225 papers in training set
Top 4%
0.7%
28
Journal of Fungi
31 papers in training set
Top 0.6%
0.6%
29
The Lancet Microbe
43 papers in training set
Top 2%
0.6%
30
Antimicrobial Agents and Chemotherapy
167 papers in training set
Top 2%
0.6%