Comparative and bioinformatics analyses of pathogenic bacterial secretomes identified by mass spectrometry in Burkholderia species

• Published in: The journal of microbiology Vol. 55; no. 7; pp. 568 - 582
• Main Authors: Nguyen, Thao Thi, Chon, Tae-Soo, Kim, Jaehan, Seo, Young-Su, Heo, Muyoung
• Format: Journal Article
• Language: English
• Published: Seoul The Microbiological Society of Korea 01.07.2017; Springer Nature B.V; 한국미생물학회
• Subjects: Alignment; Bacteria; Bioinformatics; Biomedical and Life Sciences; Blight; Burkholderia; Burkholderia - genetics; Burkholderia - metabolism; Burkholderia - pathogenicity; Comparative analysis; Computational Biology; Computer applications; Diseases; Genome, Bacterial; Grain; Homology; Hosts; Humans; Hydrophobicity; Identification; Life Sciences; Markov chains; Mass spectrometry; Mass Spectrometry - methods; Mass spectroscopy; Mathematical models; Methods; Microbiology; Oryza - microbiology; Panicle blight; Pathogenesis; Pathogens; Plant diseases; Plant Diseases - microbiology; Properties; Proteins; Proteome - metabolism; Rice; Rot; Scientific imaging; Secretion; Seedling blight; Seedlings; Sequence Analysis, DNA; Sequencing; Species; Systems and Synthetic Microbiology and Bioinformatics; Virulence; 생물학; secretome; NCSP; sequence analysis; Burkholderia gladioli, secretome; Burkholderia glumae
• ISSN: 1225-8873; 1976-3794
• DOI: 10.1007/s12275-017-7085-0

Secreted proteins (secretomes) play crucial roles during bacterial pathogenesis in both plant and human hosts. The identification and characterization of secretomes in the two plant pathogens Burkholderia glumae BGR1 and B. gladioli BSR3, which cause diseases in rice such as seedling blight, panicle blight, and grain rot, are important steps to not only understand the disease-causing mechanisms but also find remedies for the diseases. Here, we identified two datasets of secretomes in B. glumae BGR1 and B. gladioli BSR3, which consist of 118 and 111 proteins, respectively, using mass spectrometry approach and literature curation. Next, we characterized the functional properties, potential secretion pathways and sequence information properties of secretomes of two plant pathogens in a comparative analysis by various computational approaches. The ratio of potential non-classically secreted proteins (NCSPs) to classically secreted proteins (CSPs) in B. glumae BGR1 was greater than that in B. gladioli BSR3. For CSPs, the putative hydrophobic regions (PHRs) which are essential for secretion process of CSPs were screened in detail at their N-terminal sequences using hidden Markov model (HMM)–based method. Total 31 pairs of homologous proteins in two bacterial secretomes were indicated based on the global alignment (identity ≥ 70%). Our results may facilitate the understanding of the species-specific features of secretomes in two plant pathogenic Burkholderia species.