Comparative genomic and functional analyses of four sequenced Bacillus cereus genomes reveal conservation of genes relevant to plant-growth-promoting traits.
Ontology highlight
ABSTRACT: Some Bacillus strains function as predominant plant-growth-promoting rhizobacteria. Bacillus cereus 905 is a rod-shaped Gram-positive bacterium isolated from wheat rhizosphere and is a rhizobacterium that exhibits significant plant-growth-promoting effects. Species belonging to the genus Bacillus are observed in numerous different habitats. Several papers on B. cereus are related to pathogens that causes food-borne illness and industrial applications. However, genomic analysis of plant-associated B. cereus has yet to be reported. Here, we conducted a genomic analysis comparing strain 905 with three other B. cereus strains and investigate the genomic characteristics and evolution traits of the species in different niches. The genome sizes of four B. cereus strains range from 5.38?M to 6.40?M, and the number of protein-coding genes varies in the four strains. Comparisons of the four B. cereus strains reveal 3,998 core genes. The function of strain-specific genes are related to carbohydrate, amino acid and coenzyme metabolism and transcription. Analysis of single nucleotide polymorphisms (SNPs) indicates local diversification of the four strains. SNPs are unevenly distributed throughout the four genomes, and function interpretation of regions with high SNP density coincides with the function of strain-specific genes. Detailed analysis indicates that certain SNPs contribute to the formation of strain-specific genes. By contrast, genes related to plant-growth-promoting traits are highly conserved. This study shows the genomic differences between four strains from different niches and provides an in-depth understanding of the genome architecture of these species, thus facilitating genetic engineering and agricultural applications in the future.
SUBMITTER: Zeng Q
PROVIDER: S-EPMC6242881 | biostudies-literature | 2018 Nov
REPOSITORIES: biostudies-literature
ACCESS DATA