Characterization and genomic insight of surfactin-producing Bacillus velezensis and its biocontrol potential against pathogenic contamination in lettuce hydroponics.

Due to food borne pathogen, maintaining the viability of fresh fruits and vegetable is a great concern. Several strategies including microbial and plant-based formulations to reduce their infection and maintain quality of the fresh food are in practice. Currently, Bacillus has gained significant traction as a biocontrol agent for regulating diseases affecting a variety of agricultural and horticultural crops. Food-grade citric acid and plant growth-promoting rhizobacteria (PGPR) were used as antimicrobial agent, MIC results showed that PGPR (14.87 mm) and CA (20.25 mm) exhibited notable antimicrobial activity against E. coli. Lettuce treated with PGPR showed reduction in E. coli contamination, E. coli was detected at 3.30, 3.68 in control, and 2.7 log CFU/g in random root injury lettuce inoculated with PGPR KACC 21110 respectively. Random root injury showed a trend toward increasing E. coli internalization. The strains exhibited resistance to multiple antibiotics, including Imipenem, tetracycline, ampicillin, cefotaxime, cefoxitin, and ceftriaxone. Comprehensive data analysis revealed the presence of ten putative bacteriocin or bacteriocin-like gene clusters. The structure of lipopeptide homologs was characterized by using QTOF-MS/MS. The mass ion peaks attributed to surfactin homologs, surfactin A ion at m/z 1008.66, surfactin B, C at m/z 1022.67 and 1036.69. In addition to surfactin, a polyketide oxydifficidin and lipopeptide NO were extracted and detected from the extract of B. velezensis. Both isolates are key biocontrol agents and have significant potential in combating foodborne pathogens and can be utilized to explore novel antibacterial products for preventing pathogens in fresh produce.

Identification and Characterization of Antibiotic-Resistant, Gram-Negative Bacteria Isolated from Korean Fresh Produce and Agricultural Environment.

The consumption of fresh produce and fruits has increased over the last few years as a result of increasing consumer awareness of healthy lifestyles. Several studies have shown that fresh produces and fruits could be potential sources of human pathogens and antibiotic-resistant bacteria. In this study, 248 strains were isolated from lettuce and surrounding soil samples, and 202 single isolates selected by the random amplified polymorphic DNA (RAPD) fingerprinting method were further characterized. From 202 strains, 184 (91.2%) could be identified based on 16S rRNA gene sequencing, while 18 isolates (8.9%) could not be unequivocally identified. A total of 133 (69.3%) and 105 (54.7%) strains showed a resistance phenotype to ampicillin and cefoxitin, respectively, while resistance to gentamicin, tobramycin, ciprofloxacin, and tetracycline occurred only at low incidences. A closer investigation of selected strains by whole genome sequencing showed that seven of the fifteen sequenced strains did not possess any genes related to acquired antibiotic resistance. In addition, only one strain possessed potentially transferable antibiotic resistance genes together with plasmid-related sequences. Therefore, this study indicates that there is a low possibility of transferring antibiotic resistance by potential pathogenic enterobacteria via fresh produce in Korea. However, with regards to public health and consumer safety, fresh produce should nevertheless be continuously monitored to detect the occurrence of foodborne pathogens and to hinder the transfer of antibiotic resistance genes potentially present in these bacteria.

Short Communication: Enterotoxin Genes and Antibiotic Susceptibility of Bacillus cereus Isolated from Garlic Chives and Agricultural Environment.

This study aims to investigate the enterotoxin profiles and antibiotic susceptibility of Bacillus cereus isolated from garlic chives and environmental samples. A total of 103 B. cereus isolates were used to identify enterotoxin genes, including hblA, hblC, hblD, nheA, nheB, and nheC. The hemolysin BL enterotoxin complex (hblACD) was detected in 38 isolates (36.9%), and the non-hemolytic enterotoxin complex (nheABC) was detected in 8 (7.8%) isolates. Forty-five isolates (43.7%) had hblACD and nheABC genes. B. cereus was resistant to ß-lactam antibiotics and susceptible to non-ß-lactam antibiotics. However, some B. cereus strains showed intermediate resistance to ß-lactam and non-ß-lactam antibiotics. B. cereus isolated from garlic chives showed intermediate resistance to cefotaxime (7.7%), rifampin (15.4%), clindamycin (30.8%), erythromycin (7.7%), and tetracycline (7.7%). B. cereus isolates from the agricultural environment were moderately resistant to cefotaxime (18.9%), rifampin (15.6%), clindamycin (12.2%), erythromycin (4.4%), and tetracycline (5.6%). Moreover, B. cereus isolates from garlic chives and cultivation environments could change their antibiotic resistance profile from susceptible to intermediate-resistant to rifampin, clindamycin, erythromycin, and tetracycline and exhibit multidrug resistance. These results indicate that continuous monitoring of B. cereus contamination in the produce and agricultural environment might be needed to ensure the safety of consuming fresh vegetables.

Distributed Coordination for Optimal Energy Generation and Distribution in Cyber-Physical Energy Networks.

This paper proposes three coordination laws for optimal energy generation and distribution in energy network, which is composed of physical flow layer and cyber communication layer. The physical energy flows through the physical layer; but all the energies are coordinated to generate and flow by distributed coordination algorithms on the basis of communication information. First, distributed energy generation and energy distribution laws are proposed in a decoupled manner without considering the interactive characteristics between the energy generation and energy distribution. Second, a joint coordination law to treat the energy generation and energy distribution in a coupled manner taking account of the interactive characteristics is designed. Third, to handle over- or less-energy generation cases, an energy distribution law for networks with batteries is designed. The coordination laws proposed in this paper are fully distributed in the sense that they are decided optimally only using relative information among neighboring nodes. Through numerical simulations, the validity of the proposed distributed coordination laws is illustrated.