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Optimization and Application of Genotyping and Identification Techniques for Pneumocystis jirovecii

Authors: Pasic, Lana;

Optimization and Application of Genotyping and Identification Techniques for Pneumocystis jirovecii

Abstract

Pneumocystis species are obligate fungi capable of causing opportunistic infection called Pneumocystis Pneumonia (PCP) in those who are immunocompromised, often resulting in serious disease and a high mortality rate. Due to host specificity and inability to conduct in vitro studies, molecular methods have stepped in to undertake the bulk of epidemiological studies. Many unknows regarding the fungus still exist, and there is little concordance between researchers. This thesis aimed to improve and standardize the identification and genotyping techniques currently used to enable the global research community to bridge gaps collaboratively. Chapter 1 outlines Pneumocystis epidemiology, the pitfalls facing researchers and how they have been addressed. As a major influencing factor in determining sequencing success is the quality of the DNA obtained, Chapter 2 investigates and compares several DNA extraction kits and methods for an effective protocol. The gold standard for P. jirovecii currently remains to be multilocus sequence typing (MLST), therefore Chapter 3 optimizes primers and PCR protocols of the current MLST scheme used by the International Society for Human & Animal Mycology. It identified pitfalls within the scheme and addresses them by reviewing all genotyping loci and schemes used till now to determine the most effective scheme to be used in the future. This resulted in the proposal of a new global consensus MLST scheme, which was then successfully applied to a clinical cohort in Chapter 4. Chapter 5 examines the epidemiology of globally collected clinical samples using the scheme, uncovering unique alleles that formed 49 sequence types, and demonstrated the importance of a collaborative database. The importance of the genetic locus DHPS to monitor global resistance is discussed in Chapter 6. Finally, long-read next-generation sequencing using the MinION sequencer is applied to detect PCP in clinical samples to determine its potential for early diagnostics of PCP in Chapter 7.

Country
Australia
Related Organizations
Keywords

genotyping, NGS, fungi, Pneumocystis jirovecii, MLST

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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