Genotypic and phenotypic characterization of a Salmonella Typhimurium strain resistant to pulsed electric fields

Pulsed Electric Fields (PEF) technology is regarded as one of the most interesting alternatives to current food preservation methods, due to its capability to inactivate vegetative microorganisms while leaving the product's organoleptic and nutritional properties mostly unchanged. However, many aspects regarding the mechanisms of bacterial inactivation by PEF are still not fully understood. The aim of this study was to obtain further insight into the mechanisms responsible for the increased resistance to PEF of a Salmonella Typhimurium SL1344 variant (SL1344-RS, Sagarzazu et al., 2013), and to quantify the impact that the acquisition of PEF resistance has on other aspects of S. enterica physiology, such as growth fitness, biofilm formation ability, virulence and antibiotic resistance. WGS, RNAseq and qRT-PCR assays indicated that the increased PEF resistance of the SL1344-RS variant is due to a higher RpoS activity caused by a mutation in the hnr gene. This increased RpoS activity also results in higher resistance to multiple stresses (acidic, osmotic, oxidative, ethanol and UV-C, but not to heat and HHP), decreased growth rate in M9-Gluconate (but not in TSB-YE or LB-DPY), increased ability to adhere to Caco-2 cells (but no significant change in invasiveness) and enhanced antibiotic resistance (to six out of eight agents). This study significantly contributes to the understanding of the mechanisms of the development of stress resistance in Salmonellae and underscores the crucial role played by RpoS in this process. Further studies are needed to determine whether this PEF-resistant variant would represent a higher, equal or lower associated hazard than the parental strain.

Transcriptomic Analysis of the Cold-Pretreated Larimichthys crocea Showing Enhanced Growth Fitness in Cold Water

The large yellow croaker Larimichthys crocea is an economically important marine fish species endemic to China and East Asia. Ningde area of Fujian Province is a major L. crocea aquaculture and spawning center in China. L. crocea cultivated at the Zhoushan area appears to be popular but suffered high mortality in cold water during winter seasons. To reduce the mortality rate, we pretreated fish with cold shocks prior to shift to cold water. In this study, we show that cold-pretreated L. crocea 12 days after shift to cold water increase the viability by 5.77-fold compared to the unpretreated (live fish 75 versus 13, p value = 1.775e-06, n = 100). The highest loss of 31 out of 100 fish in the unpretreated group occurred in day 3 after temperature shift. To identify the pretreatment-induced transcriptional changes that may be attributed to cold-resistance and survival, we performed RNA-seq analysis of a total of 48 fish that were prior to and 48 h, 54 h, and 72 h after temperature shift in pretreated and unpretreated groups in sextuplicate. Transcriptomic profiling analysis indicates that pretreatment-induced transcriptional alterations of enzymes involved in FASI, β-oxidation, PUFA synthesis, oxidative phosphorylation, and molecular chaperones persisted after temperature shift, suggesting that these metabolic pathways may play a role in L. crocea cold-resistance and survival. Our study provides insights on how the pretreatment enhances the L. crocea growth fitness in cold water.

The Escherichia coli transcriptome linked to growth fitness

A series of Escherichia coli strains with varied genomic sequences were subjected to high-density microarray analyses to elucidate the fitness-correlated transcriptomes. Fitness, which is commonly evaluated by the growth rate during the exponential phase, is not only determined by the genome but is also linked to growth conditions, e.g., temperature. We previously reported genetic and environmental contributions to E. coli transcriptomes and evolutionary transcriptome changes in thermal adaptation. Here, we describe experimental details on how to prepare microarray samples that truly represent the growth fitness of the E. coli cells. A step-by-step record of sample preparation procedures that correspond to growing cells and transcriptome data sets that are deposited at the GEO database (GSE33212, GSE52770, GSE61739) are also provided for reference.