In this study, we demonstrate the versatility of matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOFMS) protein profiling for the species differentiation of a diverse suite of Bacillus spores. MALDI-TOFMS protein profiles of 11 different strains of Bacillus spores, encompassing nine different species, were evaluated. Bacillus species selected for MALDI-TOFMS analysis represented the sporeforming bacterial diversity of typical class 100K clean room spacecraft assembly facilities. A one-step sample treatment and MALDI-TOFMS preparation were used to minimize the sample preparation time. A library of MALDI-TOFMS spectra was created from these nine Bacillus species, the most diverse protein profiling study of the genus reported to date. Linear correlation analysis was used to successfully differentiate the MALDI-TOFMS protein profiles from all strains evaluated in this study. The MALDI-TOFMS protein profiles were compared with 16S rDNA sequences for their bacterial systematics and molecular phylogenetic affiliations. The MALDI-TOFMS profiles were found to be complementary to the 16S rDNA analysis. Proteomic studies of Bacillus subtilis 168 were pursued to identify proteins represented by the biomarker peaks in the MALDI-TOFMS spectrum. Four small, acid-soluble proteins (A, B, C, and D), one DNA binding protein, hypothetical protein ymf J, and four proteins associated with the spore coat and spore coat formation (coat JB, coat F, coat T, and spoIVA) were identified. The ability to visualize higher-molecular-mass coat proteins (10 to 25 kDa) as well as smaller proteins (<10 kDa) with MALDI-TOFMS profiling is critical for the complete and effective species differentiation of the Bacillus genus.Rapid, sensitive, and selective microbial detection and identification at the species and strain level are necessary to differentiate between viable pathogenic and nonpathogenic microbial species. The development of technology to accomplish this level of distinction for microbial species would have a significant impact on occupational and health care, homeland defense, and environmental monitoring. For over a century, microbial identification techniques have depended on conventional culture-based methods that characterize phenotypic differences and rely on biochemical and morphological tests. These methods are time-consuming and laborious, and the results are often subjective (38,41). In order to overcome the problems involved with phenotypic characterization, 16S rRNA analysis has been used for decades to more accurately define the phylogenetic affiliation of the given test microorganism (29). However, being highly conserved, the 16S rRNA molecule at times cannot differentiate closely related microbial species (41, 43). Therefore, alternative biomarkers (44) or a suite of protein profiling methods would be useful in order to effectively differentiate closely related microbial species.Matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOFMS)-based microbial detec...