Genomic Analysis of Endophytic Bacillus cereus T4S and Its Plant Growth-Promoting Traits.
Bartholomew Saanu AdelekeAyansina Segun AyangbenroOlubukola Olularanti BabalolaPublished in: Plants (Basel, Switzerland) (2021)
Insights into plant endophytic microbes and their exploration in agriculture have provided opportunities for sustainable plant health and food safety. Notable endophytic Bacillus species with plant growth-promoting traits have been documented; nevertheless, information on genome analysis of B. cereus associated with the sunflower in South Africa has not been studied. Therefore, we present whole-genome sequence of agriculturally important B. cereus strain T4S isolated from sunflower plants. The NextSeq Illumina sequencing yielded 7,255,762 bp sequence reads, 151 bp average read length, 5,945,881 bp genome size, 56 tRNA, 63 rRNA, and G + C content of 34.8%. The phylogeny analysis of strain T4S was similar to B. cereus NJ-W. Secondary metabolites, such as petrobactin, bacillibactin, bacitracin, molybdenum factor, zwittermicin, and fengycin underlining bacterial biocontrol efficacy against phytopathogens were found in the T4S genome. The predicted novel genes in the bacterial genome mediating the complex metabolic pathways can provide a genetic basis in understanding endosphere biology and their multiple functions thereof in crop improvement. Interestingly, seed and root inoculation with strain T4S contributed to sunflower yield under greenhouse experiments. Hence, the detection of notable genes specific for plant growth promotion as validated under in vitro screening, promisingly, suggests the relevance of strain T4S in agricultural biotechnology.
Keyphrases
- plant growth
- genome wide
- dna methylation
- climate change
- south africa
- copy number
- public health
- healthcare
- human health
- health information
- mental health
- gene expression
- risk assessment
- heavy metals
- single cell
- hiv positive
- amino acid
- hiv infected
- real time pcr
- loop mediated isothermal amplification
- sensitive detection
- bioinformatics analysis
- municipal solid waste
- human immunodeficiency virus