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Biological Implications of Mycobacterium leprae Gene Expression during Infection

Authors :
Diana L. Williams
Marina Torrero
William R. Bishai
Richard W. Truman
Norman E. Morrison
Mark Yoder
Paul R. Wheeler
Thomas P. Gillis
Source :
Microbial Physiology. 8:58-72
Publication Year :
2004
Publisher :
S. Karger AG, 2004.

Abstract

The genome of Mycobacterium leprae, the etiologic agent of leprosy, has been sequenced and annotated revealing a genome in apparent disarray and in stark contrast to the genome of the related human pathogen, M. tuberculosis. With less than 50% coding capacity of a 3.3-Mb genome and 1,116 pseudogenes, the remaining genes help define the minimal gene set necessary for in vivo survival of this mycobacterial pathogen as well as genes potentially required for infection and pathogenesis seen in leprosy. To identify genes transcribed during infection, we surveyed gene transcripts from M. leprae growing in athymic nude mice using reverse transcriptase-polymerase chain reaction (RT-PCR) and cross-species DNA microarray technologies. Transcripts were detected for 221 open reading frames, which included genes involved in DNA replication, cell division, SecA-dependent protein secretion, energy production, intermediary metabolism, iron transport and storage and genes associated with virulence. These results suggest that M. leprae actively catabolizes fatty acids for energy, produces a large number of secretory proteins, utilizes the full array of sigma factors available, produces several proteins involved in iron transport, storage and regulation in the absence of recognizable genes encoding iron scavengers and transcribes several genes associated with virulence in M. tuberculosis. When transcript levels of 9 of these genes were compared from M. leprae derived from lesions of multibacillary leprosy patients and infected nude mouse foot pad tissue using quantitative real-time RT-PCR, gene transcript levels were comparable for all but one of these genes, supporting the continued use of the foot pad infection model for M. leprae gene expression profiling. Identifying genes associated with growth and survival during infection should lead to a more comprehensive understanding of the ability of M. leprae to cause disease.

Details

ISSN :
26731673 and 26731665
Volume :
8
Database :
OpenAIRE
Journal :
Microbial Physiology
Accession number :
edsair.doi...........9bad1816867af9272ed3ce8009da397f
Full Text :
https://doi.org/10.1159/000082081