Yuan-Zhi Liu1, He Wang2, Jun-Hao Zhu1, De-Min Han1, Timothy Kudinha3, Fan-Rong Kong4, Qiang-Qiang Zhang5. 1. Division of Mycology, Huashan Hospital, Fudan University, Shanghai, China. 2. Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China. 3. Charles Sturt University, Leeds Parade, Orange, New South Wales, Australia; Centre for Infectious Diseases and Microbiology Laboratory Services, ICPMR-Pathology West, Westmead Hospital, the University of Sydney, Darcy Road, Westmead, New South Wales, Australia. 4. Centre for Infectious Diseases and Microbiology Laboratory Services, ICPMR-Pathology West, Westmead Hospital, the University of Sydney, Darcy Road, Westmead, New South Wales, Australia. 5. Division of Mycology, Huashan Hospital, Fudan University, Shanghai, China. Electronic address: zhangqq8@163.com.
Abstract
BACKGROUND/ PURPOSE: Prototheca species are ubiquitous achlorophyllic microalgae belonging to the family Chlorellaceae, which can cause a wide range of infections in humans and animals. Mainly in individuals with immunologic defects or trauma, Prototheca spp. can cause even lethal diseases. However, the exact pathogenic mechanism of Prototheca in causing disease remains largely unknown. To investigate the differences between pathogenic and nonpathogenic Prototheca spp. genotypes on proteome level, a nonpathogenic Prototheca zopfii genotype 1 strain, isolated from cow manure, and a human pathogenic P. zopfii genotype 2, isolated from human granulomatous lymphadenitis, were studied. METHODS: Differentially expressed proteins between the two genotypes were quantified by isobaric tag for relative and absolute quantitation-based quantitative proteomics, using liquid chromatography-tandem mass spectrometry. RESULTS: A total of 245 proteins were identified from the proteomic analysis after data filtering to eliminate low-scoring spectra. Among these, 35 proteins that displayed a significant (p<0.05) 1.5-fold change were considered as differentially expressed proteins. CONCLUSION: The differentially expressed proteins were associated with suppressed energy production and conversion, carbohydrate transport and metabolism, and enhanced translation in the genotype 2 strain, and are thus potentially relevant in the pathogenic mechanism of P. zopfii genotype 2, but need further investigation.
BACKGROUND/ PURPOSE:Prototheca species are ubiquitous achlorophyllic microalgae belonging to the family Chlorellaceae, which can cause a wide range of infections in humans and animals. Mainly in individuals with immunologic defects or trauma, Prototheca spp. can cause even lethal diseases. However, the exact pathogenic mechanism of Prototheca in causing disease remains largely unknown. To investigate the differences between pathogenic and nonpathogenic Prototheca spp. genotypes on proteome level, a nonpathogenic Prototheca zopfii genotype 1 strain, isolated from cow manure, and a human pathogenic P. zopfii genotype 2, isolated from humangranulomatous lymphadenitis, were studied. METHODS: Differentially expressed proteins between the two genotypes were quantified by isobaric tag for relative and absolute quantitation-based quantitative proteomics, using liquid chromatography-tandem mass spectrometry. RESULTS: A total of 245 proteins were identified from the proteomic analysis after data filtering to eliminate low-scoring spectra. Among these, 35 proteins that displayed a significant (p<0.05) 1.5-fold change were considered as differentially expressed proteins. CONCLUSION: The differentially expressed proteins were associated with suppressed energy production and conversion, carbohydrate transport and metabolism, and enhanced translation in the genotype 2 strain, and are thus potentially relevant in the pathogenic mechanism of P. zopfii genotype 2, but need further investigation.
Keywords:
Prototheca zopfii; comparative proteomic analysis; isobaric tag for relative and absolute quantitation; liquid chromatography tandem mass spectrometry; virulence factors
Authors: Zofia Bakuła; Paweł Siedlecki; Robert Gromadka; Jan Gawor; Agnieszka Gromadka; Jan J Pomorski; Hanna Panagiotopoulou; Tomasz Jagielski Journal: BMC Genomics Date: 2021-03-09 Impact factor: 3.969