National Taiwan University

Applied Mycology Laboratory

Hiran Ariyawansa
https://homepage.ntu.edu.tw/~ariyawansa44/Default.html

Research Field

Agriculture

Introduction

Dr. Hiran A. Ariyawansa is an Associate Professor in the Department of Plant Pathology and Microbiology at National Taiwan University (NTU), Taipei, where he leads a multidisciplinary research group at the interface of mycology and plant health. His research focuses on fungal biodiversity, integrative taxonomy, and evolutionary genomics, with a strong emphasis on plant-associated fungi and emerging phytopathogens.A major theme of his work is understanding how closely related fungi shift between endophytic, saprobic, and pathogenic lifestyles and why large differences in virulence can occur even when overall gene content is similar. His group integrates field sampling and culture-based studies with multi-locus phylogenetics, comparative/population genomics, and functional assays to link evolutionary patterns with host range, virulence, adaptation, and disease outcomes. In parallel, the lab develops applied pipelines for sustainable plant disease management, including fungicide evaluation/resistance monitoring and discovery of microbial biocontrol agents and their inhibitory metabolites. Dr. Ariyawansa is committed to training students in both rigorous wet-lab experimentation and reproducible bioinformatics, and he welcomes international collaboration and student exchange.

Overview

Our lab investigates fungi from field to genome to function, combining biodiversity discovery with mechanism-driven plant pathology. We aim to 

(i) resolve fungal species boundaries accurately, 

(ii) understand how fungi evolve and transition among endophyte–saprobe–pathogen lifestyles, and 

(iii) translate these insights into sustainable disease management strategies for agriculture and natural ecosystems.

What we study

1) Fungal biodiversity and systematics (integrative taxonomy)
We conduct surveys across Taiwan and collaborating regions, isolate and preserve fungal strains, and use morphology + multi-locus phylogenetics (and phylogenomics when needed) to delimit species and revise taxonomic groups. Accurate taxonomy is the foundation for reliable diagnostics, ecological interpretation, and disease risk assessment.

2) Emerging phytopathogens and virulence mechanisms
A major focus is Pestalotiopsis sensu lato (including Neopestalotiopsis and Pseudopestalotiopsis), which contains important emerging plant pathogens and frequent lifestyle ambiguity in nature. We quantify pathogenicity and host range using standardized infection assays, and link phenotypes to genomic and functional features—particularly secreted proteins/effectors, CAZymes, secondary metabolite biosynthetic gene clusters (BGCs), transposable elements, and regulatory variation. We are especially interested in “genome–phenotype paradox” cases where virulence differs strongly despite similar gene inventories, suggesting regulatory and metabolic drivers.

3) Genomics-enabled mycology (comparative and population genomics)
We assemble and annotate genomes, build phylogenomic frameworks, and conduct comparative and population genomic analyses to understand adaptation, diversification, and strain-level variation relevant to disease. Depending on the project, we connect genomic signals to phenotype through infection biology, enzyme/physiology assays, and metabolite profiling.

4) Sustainable disease management and biocontrol
We maintain applied research lines to support reduced-pesticide agriculture: fungicide sensitivity evaluation and resistance-risk assessment, and the identification of microbial antagonists (bacterial and fungal BCAs, including Trichoderma) and their inhibitory metabolites (volatile and non-volatile). Where possible, we investigate mechanisms (antibiosis, VOC effects, induced resistance, competition) and develop practical workflows that can be transferred to field management.

Training environment

We train students to be fluent in both wet-lab and computational workflows—strain isolation and phenotyping, experimental design, genome/omics analysis, and scientific writing. Students are encouraged to develop independent projects while working within a supportive team environment and strong international collaboration network.

International visitors

Our lab has experience hosting and mentoring international students and visitors, including graduate-level supervision, short-term research attachments, and internship training through international exchange and internship programs.

 

 


Research Topics

Our research focuses on integrative mycology and plant health. Key objectives include:

  • Elucidating pathogenicity and lifestyle transitions (endophyte–saprobe–pathogen) in Pestalotiopsis sensu lato (Pestalotiopsis, Neopestalotiopsis, Pseudopestalotiopsis) using phylogenetics, comparative genomics, and functional assays.
  • Developing sustainable disease management strategies for fruit and foliar diseases caused by pestalotioid fungi through integrated approaches (fungicide evaluation/resistance monitoring, cultural practices, and biocontrol).
  • Reducing disease pressure in Welsh onion production systems through chemical and biological control, including microbiome-informed strategies and screening of microbial antagonists and their metabolites.
  • Exploring the diversity and biological potential of entomopathogenic fungi in Taiwan, including comparative genomics, secondary metabolite biosynthetic potential, and bioactivity relevant to agriculture and biotechnology.

Honor

Scholarships and Awards

  • Stanford University–Elsevier Top 2% Scientists (2021–2024)
  • Highly Cited Researcher (Clarivate Analytics, 2018)
  • Best Teacher Award (National Taiwan University, 2023 & 2024)
  • Best Performance Award (National Taiwan University, 2022)
  • Best Teacher Award (English-taught course), College of Bio-Resources and Agriculture, NTU (2019)

Professional Service

  • Editorial leadership in international journals (e.g., Fungal Diversity, Mycological Progress, Journal of Fungi, Plant Pathology)
  • International academic collaboration and hosting of visiting students/interns

Educational Background

Ph.D. in Bio-Science: April 2015, Mae Fah Luang University, Chiang Rai, Thailand. Title: Taxonomy and Phylogenetic Evolution of Pleosporales

M.Sc. in Biotechnology: Post Graduate Institute of Agriculture, University of Peradeniya (PGIA), Sri Lanka. (2009-2011)

B.Sc. in Biological Science: Faculty of Science, University of Colombo, Sri Lanka. (2005-2009)

Certificate in Molecular Biology and Gene Technology: Gene-tech, Sri Lanka (2010)


Job Description

Preferred qualifications

  • Background in biology, plant pathology, microbiology, genetics, bioinformatics, or related fields
  • Interest in fungal genomics, population genetics, and host–pathogen interactions
  • Basic experience with sequence data analysis, Linux, R, or Python is preferred
  • Willingness to learn genomic and bioinformatic approaches
  • Good communication skills and the ability to work independently and as part of a team

Research focus

  • Population structure and genetic diversity of Neopestalotiopsis isolates
  • Host-associated differentiation and evolutionary relationships
  • Genomic signatures linked to virulence variation and adaptation
  • Integration of genomics with pathogenicity assays and biological interpretation

What the student will gain

  • Training in population genomics and fungal genome analysis
  • Experience with whole-genome sequencing datasets and bioinformatic workflows
  • Opportunity to contribute to publications and conference presentations
  • A supportive and collaborative research environment

Preferred Intern Educational Level

  • Senior undergraduate student, Master’s student, or PhD student in Plant Pathology, Microbiology, Genetics, Bioinformatics, Evolutionary Biology, or a related field
  • Students with an interest in fungal genomics, plant–pathogen interactions, and population genetics are especially encouraged to apply
  • Candidates with previous exposure to molecular biology, genomics, or computational biology will be an advantage

Skill sets or Qualities

  • Strong interest in population genomics, fungal biology, and evolutionary questions
  • Basic knowledge of genetics, genomics, microbiology, or plant pathology
  • Familiarity with Linux, R, Python, or bioinformatics tools is preferred, but not mandatory
  • Willingness to learn genome data analysis, SNP-based analysis, and phylogenomic approaches
  • Careful, responsible, and detail-oriented in handling data
  • Ability to work independently as well as collaboratively in a research team
  • Good communication skills in English
  • Motivated, curious, and committed to scientific research

Job Description

Research focus

  • Comparative genomics of closely related Pseudopestalotiopsis species
  • Genetic and regulatory factors associated with virulence differences
  • Analysis of pathogenicity-related gene repertoires, including CAZymes, effectors, and secondary metabolite biosynthetic gene clusters
  • Integration of genomic data with pathogenicity and phenotypic observations

Preferred qualifications

  • Background in Plant Pathology, Microbiology, Genetics, Bioinformatics, Molecular Biology, Evolutionary Biology, or a related field
  • Strong interest in fungal genomics and plant–pathogen interactions
  • Basic experience with sequence data analysis, Linux, R, or Python is preferred but not required
  • Willingness to learn genomic and bioinformatic approaches

Preferred Intern Educational Level

Senior undergraduate students, Master’s students, or PhD students in Plant Pathology, Microbiology, Genetics, Bioinformatics, Molecular Biology, Evolutionary Biology, or related disciplines are encouraged to apply. Students with interests in fungal genomics, comparative genomics, and plant–pathogen interactions will be especially suitable for this project.

Skill sets or Qualities

  • Strong interest in fungal genomics, plant pathology, and evolutionary biology
  • Basic knowledge of genetics, genomics, microbiology, or molecular biology
  • Familiarity with Linux, R, Python, or bioinformatics tools is an advantage, but not essential
  • Careful, responsible, and detail-oriented in research work
  • Willingness to learn and develop computational and analytical skills
  • Good communication skills in English
  • Ability to work both independently and as part of a team