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Critical Reviews™ in Eukaryotic Gene Expression
Fator do impacto: 2.156 FI de cinco anos: 2.255 SJR: 0.649 SNIP: 0.599 CiteScore™: 3

ISSN Imprimir: 1045-4403
ISSN On-line: 2162-6502

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Critical Reviews™ in Eukaryotic Gene Expression

DOI: 10.1615/CritRevEukarGeneExpr.v22.i4.40
pages 299-307

Insights into the Distribution and Functions of the Eukaryotic GPI-like Anchored Genes Among Mycobacterium from a Comparative Genomic Perspective

Wanyan Deng
Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, PR China
Jie Zeng
Institute of Modern Biopharmaceuticals, State Key Laboratory Breeding Base of Three Gorges Eco-Environment and Bioresources, Eco-Environment Key Laboratory of the Three Gorges Reservoir Region, Ministry of Education, School of Life Sciences, Southwest Uni
Xiaohong Xiang
Institute of Modern Biopharmaceuticals, State Key Laboratory Breeding Base of Eco-Environment and Bio-Resource of the Three Gorges Area, State Key Laboratory of Eco-Environments in Three Gorges Reservoir Region, Ministry of Education, School of Life Scien
Jianping Xie
Institute of Modern Biopharmaceuticals, State Key Laboratory Breeding Base of Eco-Environment and Bio-Resource of the Three Gorges Area, Key Laboratory of Ecoenvironments in Three Gorges Reservoir Region, Ministry of Education, School of Life Sciences, Southwest University, Beibei, Chongqing 400715, China

RESUMO

Glycosylphosphatidylinositol (GPI)-anchored proteins range from small peptides to larger antigens and fulfill a variety of cellular functions in eukaryotes. We speculated there should be such molecules in intracellular pathogens such as Mycobacterium due to their complex interplay with the host. However, no prior publications have touched this topic. To explore the existence and distribution of GPI-like molecules among Mycobacterium, we exhaustively analyzed all publicly available Mycobacterium genomes and found that the GPI-like signal sequences are prevalent among Mycobacterium, and a significant dichotomy between nonpathogenic Mycobacterium (exemplified by Mycobacterium smegmatis) and pathogenic Mycobacterium (exemplified by Mycobacterium tuberculosis), through genome-wide GPI-SOM analysis. Some well-documented anti-tuberculosis drug targets are predicted to have GPI-like anchored signals, such as KasA and atpE. Interestingly, Pro-Glu (PE) and Pro-Pro-Glu (PPE) proteins predicted to have GPI-anchoring sequence are unique to pathogenic Mycobacterium. These results can be further explored for better control measures against tuberculosis.


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