Defense Date
12-4-2023
Document Type
Capstone
Degree Type
Master of Science
Degree Name
Biological Sciences
First Advisor
Dr. Navdeep Gill
Second Advisor
Dr. Matthew Johnston
Third Advisor
Dr. Christopher Blanar
Keywords
fungal diversity, metagenomics, internal transcribed sequences: ITS1, ITS2, fungal barcoding, phylogenetics, evolution, fungal pathogens, long read sequencing, primers, fungal genomics, variations
Abstract
Universal phylogenetic markers such as the nuclear ribosomal internal transcribed sequences (ITS), specifically ITS1 and ITS2, are routinely used to estimate fungal diversity in environmental samples. However, numerous studies report differences in the performance and efficacy of ITS1 and ITS2 in documenting fungal diversity. To better understand the implications of using ITS1 versus ITS2, a comprehensive representation of the diverse fungal taxa was necessary to conduct a meta-analysis of their use across multiple fungal taxa. In order to address this, a thorough literature review was conducted to compare and contrast the use of ITS1 and ITS2 as effective DNA barcodes. Publicly available datasets were used to synthesize a simulated fungal community representing diverse fungal taxonomic groups and the efficacy of the two amplicons was tested and compared to the complete ITS. This study hypothesized that ITS1 and ITS2 are not equally effective for the resolution of fungal taxa. Specifically, when comparing ITS1 and ITS2 for phylogenetic resolution, an overlapping set of taxa were identified by both approaches, whereas certain taxa were preferentially resolved by individual ITS amplicons. The evaluation presented here should allow readers to develop a better understanding of the uses and limitations of ITS1 versus ITS2 in studying fungal diversity and ecology and enable them to develop improved approaches for better taxonomic resolution as well as aid in identification of potentially novel species.
NSUWorks Citation
Jailisa Linares. 2023. Evaluating the Effectiveness of the Internal Transcribed Sequences (ITS) as DNA Barcodes to Estimate Fungal Diversity. Capstone. Nova Southeastern University. Retrieved from NSUWorks, . (168)
https://nsuworks.nova.edu/hcas_etd_all/168.
Included in
Life Sciences Commons, Medicine and Health Sciences Commons, Physical Sciences and Mathematics Commons