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  • Research article
  • Open Access

Salmonella grows vigorously on seafood and expresses its virulence and stress genes at different temperature exposure

  • 1, 2Email author,
  • 2 and
  • 1
BMC Microbiology201515:254

https://doi.org/10.1186/s12866-015-0579-1

  • Received: 23 January 2015
  • Accepted: 20 October 2015
  • Published:

Abstract

Background

Seafood is not considered the natural habitat of Salmonella except the river fish, but still, the incidence of Salmonella in seafood is in a steady rise. By extending our understanding of Salmonella growth dynamics and pathogenomics in seafood, we may able to improve seafood safety and offer better strategies to protect the public health. The current study was thus aimed to assess the growth and multiplication of non-typhoidal and typhoidal Salmonella serovars on seafood and further sought to evaluate their virulence and stress genes expression while in contact with seafood at varying temperature exposure.

Results

Salmonella enterica Weltevreden and Salmonella enterica Typhi were left to grow on fish fillets at −20, 4, room temperature (RT) and 45 °C for a period of one week. Total RNA from both Salmonella serovars were extracted and qRT-PCR based relative gene expression approach was used to detect the expression of rpoE, invA, stn and fimA genes at four different temperature conditions studied on incubation days 0, 1, 3, 5 and 7. Salmonella Weltevreden growth on seafood was increased ~4 log10 at RT and 45 °C, nevertheless, nearly 2 and >4 log 10 reduction was observed in cell count stored at 4 and −20 °C on seafood, respectively. Growth pattern of Salmonella Typhi in seafood has shown identical pattern at RT and 45 °C, however, growth was sharply reduced at 4 and −20 °C as compared to the Salmonella Weltevreden. Total RNA of Salmonella Weltevreden was in the range from 1.3 to 17.6 μg/μl and maximum concentration was obtained at 45 °C on day 3. Similarly, RNA concentration of Salmonella Typhi was ranged from 1.2 to 11.8 μg/μl and maximum concentration was obtained at 45 °C on day 3. The study highlighted that expression of invA and stn genes of Salmonella Weltevreden was >8-fold upregulated at RT, whereas, fimA gene was increasingly down regulated at room temperature. Storage of Salmonella Weltevreden at 45 °C on seafood resulted in an increased expression (>13 -fold) of stn genes on day 1 followed by down regulation on days 3, 5, and 7. Nevertheless, other genes i.e. fimA, invA and rpo remained downregulated throughout the storage period. More intense upregulation was observed for invA and stn genes of Salmonella Typhi at RT and 45 °C. Further, incubating Salmonella Weltevreden at 4 °C resulted in down regulation in the expression of rpoE, invA and stn genes. Regarding Salmonella Typhi, fimA and stn genes were upregulated on day one, in addition, an increased expression of fimA was noted on day 3. At −20 °C, there was no obvious expression of target genes of Salmonella Weltevreden and Salmonella Typhi when stored along with seafood.

Conclusion

Here we demonstrate that nutritional constituents and water content available in seafood has become useful growth ingredients for the proliferation of Salmonella in a temperature dependent manner. Although, it was absence of serovar specific growth pattern of non-typhoidal and typhoidal Salmonella in seafood, there was observation of diverse expression profile of stress and virulent genes in non-typhoidal and typhoidal Salmonella serovars. In presence of seafood, the induced expression of Salmonella virulent genes at ambient temperature is most likely to be impacted by increased risk of seafood borne illness associated with Salmonella.

Keywords

  • Salmonella
  • Seafood
  • Virulence factor
  • Stress
  • Gene expression qRT-PCR

Background

Salmonella serovars are leading food-borne pathogens and commonly isolated from meat and poultry. More recently, presence of Salmonella has been reported in fish and seafood [1, 2]. Numerous reports are available on seafood implicated in the outbreak of human salmonellosis [3, 4]. Generally, animals, birds and humans are the natural host of Salmonella. More than 90 % of food-borne outbreaks are due to non-typhoidal Salmonella serovars and typhoidal group is not frequently contaminated with Salmonella. Despite the fact that seafood is not considered the natural host for Salmonella and further, it is always transported at low temperature, still, the incidences of Salmonella in seafood is in increasing order [5, 6]. It is reasonably well understood that the phenomenon of growth and multiplication of Salmonella in food environment is primarily dependent on factors like temperature, pH, availability of essential nutrients, contact surface and water activity of the food matrix. Seafood provides repertoire of elements like vital nutrients, appropriate salts and provide large amount of water to support the growth of food- borne bacterial pathogens. Survival and detection of Salmonella in seafood even after prolonged frozen condition is always a matter of concern for seafood consumers, processors and researchers. In case of contamination, it must be intriguing to know the ability of Salmonella to grow in seafood. Although, attempts have been made to understand the growth dynamics of Salmonella in beef, pork and chicken [7, 8], only few reports are available on multiplication of Salmonella in seafood.

Salmonella survival and multiplication in food and water environment are mainly due to its ability to respond effectively by suitable changes in gene expression pattern responsible for environmental persistence [9]. Besides an immediate cellular adaptation to stress, organisms can resist such challenges through certain changes in their genetic material like the phenomenon of gene duplication [10]. Cellular adaptation mechanism of the organism depends upon modification of certain aspects of cell physiology and supported by decrease in a ratio of unsaturated to saturated fatty acid of membrane lipid composition by intracellular signalling networks [11]. Ribosomal-RNA constitutes 82–90 % of total RNA pool in bacteria and represents the active fraction of the cellular activity and metabolic state of bacteria in the environmental samples. In the past, rRNA analysis has been used to quantify bacterial population growth rate in a mixed microflora [12]. Based on this, we hypothesize that determination of total RNA may qualitatively indicate that cells are in very active and growing mode or just present in a dormant and dying state.

Presence of various genes in bacteria is responsible for their ability to multiply and survival in food environment. Major genes involved in cell wall structural and functional integrity, and nucleic acid and amino acid metabolism are important for Salmonella to persist in food and other environments [13]. Salmonella rpo genes are mainly responsible to cope up with various environmental stresses, while rpoE and rpoH genes have been associated with thermal related stress in Salmonella [14]. The virulence factors and level of pathogenicity among the non-typhoid and typhoid Salmonella serovars has been observed to be diverse which ultimately determine the nature and disease outbreak ability of the strain to humans. An initial evaluation must be carried out to know the expression of non-typhoidal and typhoidal Salmonella virulent genes in contact with seafood and further, enables us to understand the level of pathogenicity outside of the host environment and their preparedness and capacity to cause infection. Role of invA gene in Salmonella pathogenicity is well understood and this gene contributes significantly to virulence factor of Salmonella pathogenicity Island (SPI). The virulence factor due to invA gene is reported to be responsible for invasion of gut epithelial tissue in human and animals and Salmonella enterotoxin (stn) gene has been associated with pathogenicity in Salmonella serovars [15]. The fimA gene encodes the major structural subunit of type I fimbrial protein, while this gene has been implicated in Salmonella pathogenicity [16]. Involvement of active role of Salmonella virulence genes such as inv, stn and fim in pathogenicity were ascertained based on in-vivo and in-vitro challenge studies and confirmed the release of specific protein or toxin molecules [17]. Although, previously expression of these genes are confirmed using gene cloning approach, perhaps now by targeting mRNA may provide good and alternative method to understand the gene expression in pathogenic bacteria. Here, we made an attempt to evaluate the expression of Salmonella stress and virulence genes in seafood at different temperature exposures.

Results

Salmonella growth in seafood at different temperatures

Recovery of Salmonella Weltevreden and Typhi in seafood was determined on 0,1,3,5 and 7 days by using the agar plating method of xylose lysine deoxycholate (XLD) and ChROMagar™ Salmonella media. Regarding the growth of Salmonella Weltevreden, we observed that cell count increased from 4 log10 to 7 and 8 log10/g, at RT and 45 °C, respectively on day 1 and thereafter, cells maintained a plateau till 5th day, finally population was decreased by 1 log10 on day 7. At 4 °C, Salmonella Weltevreden population followed a continual reduction pattern from 4 log10 to 1 log10. However, Salmonella Weltevreden reduction was much sharper in case of temperature exposure at −20 °C. In this case, initial population of 4 log 10 CFU/g decreased to < 1 log10 on day 5, while on the 7th day, cell counts were below the detection limit of the plate count method (Fig. 1a). Growth of Salmonella Typhi in seafood at different temperatures storage, cell count was increased from 1 log10 to 4 log10 both at RT and 45 °C on day one thereafter continual reduction in cell count was observed till day seven. Nevertheless, storing seafood at 4 °C has shown reduction in count of Salmonella Typhi from 1.8 log10 on day one to < 1 log10 on day 5 and further incubation did not yield culturable Salmonella Typhi. At −20 °C, we could not detect viable Salmonella Typhi on day 5 and 7 from the seafood inoculated with initial cell count of 3 log10/g (Fig. 1b).
Fig. 1
Fig. 1

(a) Salmonella Weltevreden (b) Salmonella Typhi counts obtained on XLD plates and ChROMagar™ Salmonella from seafood following 1, 3, 5, 7 days of incubation at -20, 4, RT and 45 ºC. Results shown represent the mean of three independent trials with average count on XLD and ChROMagar™ Salmonella media. Error bars shown represent the standard deviations from triplicate replicates of each sample

Salmonella RNA quantification on seafood

We have quantified total RNA concentration from Salmonella Weltevreden and Salmonella Typhi of the individual temperature groups. Regarding Salmonella Weltevreden, RNA was in the range from 1.3 to 13.11 μg/μl at RT and at RT and at 45 °C concentration was found to be increased from 1.4 to 17.6 μg/μl. However, storage at 4 °C RNA has shown considerable decrease in RNA concentrations from 1.2 to 0.14 μg/μl. Similarly, RNA concentration was an about of 7.8 ng/μl and 3.8 ng/μl on 1 and 3 day, respectively at −20 °C, thereafter, RNA was not detected on 5 and 7th day (Fig. 2a). Regarding Salmonella Typhi, RNA concentrations obtained were in the range from 1.2 to 9.2 μg/μl and 1.2 to 11.8 μg/μl at RT and 45 °C, respectively. We observed that the total RNA concentration in the range from 5 ng to 1.2 μg/μl at 4 °C storage (Fig. 2b). Detection of RNA concentration was 14 ng/μl at −20 °C on day one and subsequently, no RNA was detected on 3, 5 and 7 day. The quality of the RNA was excellent in nature and clear pattern of 16S and 23S RNA peaks were observed from Salmonella Weltevreden and Salmonella Typhi on Bioanalyser (Fig. 3a, b). RNA integrity number (RIN) values of 7.1 were only considered for the gene expression study.
Fig. 2
Fig. 2

Detection of RNA from (a) Salmonella Weltevreden and (b) Salmonella Typhi following 1, 3,5,7 days of incubation given to seafood at -20, 4, RT and 45 ºC. Results shown represent the mean of three independent trials. Error bars shown represent the standard deviations from triplicate replicates of each sample

Fig. 3
Fig. 3

Representative sample of (a) Salmonella Weltevreden and (b) Salmonella Typhi, showing quality and integrity of 16S and 23S RNA in Fluorescence Unit (FU)

qRT-PCR validation and reference gene

Endogenous reference gene (gapdh) was validated for different temperature exposures and it was found that gapdh was consistent and expressed uniformly across the exposure temperature. The threshold Ct values were falling in the range from 16.39 to 21.75. The temperature exposures did not show significance difference (p > 0.05) in Ct values. qRT-PCR amplification during gene expression was confirmed by melting curve analysis of the gene amplicons (data not shown). All primers demonstrated single peak in the melting curve graph and Tm values of Salmonella Weltevreden and Salmonella Typhi for rpoE, fimA, invA and stn genes were 84.3, 73.5, 82.5, and 78.5 °C ±1 °C. There was no amplified product seen from NRTC which confirmed the absence of genomic DNA during qRT-PCR expression assays.

Relative gene expression

Differential expression of rpoE, invA, stn and fimA genes of Salmonella Weltevreden and Salmonella Typhi during their exposure in seafood at −20, 4, RT and 45 °C were analyzed (Fig. 4). Exposure of Salmonella Weltevreden in seafood at RT triggered almost 8 fold upregulation in invA and stn genes on the 1st day, whereas 2 and 4-fold increase was observed for them on 3rd and 5th day, respectively and considerable down-regulation was observed on 7th day. The fimA gene was increasingly down regulated throughout at room temperature except on day one. Salmonella incubation at 4 °C resulted in down regulation of rpoE, invA and stn genes throughout exposure period from day one to seven. However, there was 6-fold up regulation in fimA gene expression on day one, thereafter 7.4, 4.5, and 4-fold increased up regulation in fimA gene was observed on 3,5,7th day, respectively. We demonstrate that during the incubation at 45 °C, there was 13-fold increase in stn gene expression on day one and subsequently down regulation was observed on 3, 5 and 7th day. Expression of rpoE, invA and fimA genes was more than 10-fold down regulated on day 7 following the incubation at 45 °C. Further, at −20 °C, there was 10-fold down regulation for rpoE, fimA and stn on day one, further no noticeable expression was observed for all the target genes. Regarding the expression of Salmonella Typhi at RT, there was 13.7 and 17-fold upregulation in invA and stn genes, respectively, on day one and 8.9 and 9.1-fold upregulated expression for them on day 3. In addition, both the rpoE and fimA genes were also found to be 1.7 and 4.2-fold upregulated, respectively at RT. Exposure of Salmonella Typhi at 45 °C, we report that there was 5.3 and 8.9-fold upregulation in invA and stn genes expression, respectively, whereas, fimA and rpoE genes were observed to be down regulated throughout the storage period. Furthermore, there was 3 and 1.5-fold upregulated expression of invA and fimA genes, respectively of Salmonella Typhi at 4 °C on day one. We could not get noticeable expression pattern of target genes of Salmonella Typhi at −20 °C.
Fig. 4
Fig. 4

Salmonella Weltevreden (a, c, e & g) and Salmonella Typhi (b, d & f) invA, stn, fimA, and rpoE gene expression at RT, 45, 4, -20 °C over a 7 days exposure in seafood. Normalized gene expression values against housekeeping gene (gapdh) are shown and error bars represent the standard deviations from triplicate replicates of each sample

Discussion

Seafood is ideally considered to be free from Salmonella and occurrence of Salmonella in seafood is mainly due to cross-contamination linked with zoonotic and anthropogenic activities towards the coast lines [18]. Previously, our group has reported the widespread prevalence of Salmonella serovars in tropical seafood [1]. From the viewpoint of present increase in incidences of Salmonella in seafood, it is quite apparent that Salmonella remains viable and active for longer time in seafood environment. Considering the frequent detection of Salmonella in seafood, the present study was undertaken to assess the growth dynamics of Salmonella in seafood. Seafood is rarely stored at elevated temperature, however, during the post-harvest handling and transporting, it is well known that temperature abuse can result in multiplication of pathogenic bacteria. It has been seen from our results that Salmonella comfortably grows and multiplies in seafood at room temperature and above. Although, there was a gradual reduction in Salmonella load for couple of days at 4 °C, and further reduction was much sharper at later stages of storage (5–7 days). As expected, sharper decline in Salmonella population was observed at - 20 °C and no culturable Salmonella was detected on the 7th day of storage. The possible reason for sharp reduction in Salmonella count could be due to the freezing and sometimes partial thawing step involved while withdrawing seafood samples. It is also true that reduction in Salmonella population at low temperature was partially due to the non-recovery of metabolically injured cells by direct plating method. The process of freezing has been reported to give detrimental effect on bacterial cell wall, resulting in faster cell death. Contrary to our study, Salmonella in frozen seafood without involvement of thawing step was reported to survive for more than 8 weeks [19]. Further, we could detect more than 3 and ~4 log cycle increase cell count for both serovars within 24 h of initial storage at RT and 45 °C, respectively. Similarly, a study elsewhere has reported to increase Salmonella Enteritidis count by 3 log cycle in pork meat kept at 10 °C for 5 days [7]. Quite contrary, there was no Salmonella growth reported to detect in frozen whole chicken and ground beef kept for thawing at 22 and 30 °C for 9 h [8]. Regarding the growth pattern of non-typhoidal and typhoidal Salmonella serovars, the study highlights that there was no inter-serovar difference in growth pattern at the ambient temperature, however, the only variation observed in the study that Salmonella Typhi was sharply reduced to nil at 4 and - 20 °C. This prompt reduction in cell count and low temperature sensitivity of Salmonella Typhi could be due to its possible adaptation to humans, the only known host. Although, proved many times earlier, we reiterate that the refrigeration and subzero temperature were found to be critical for regulating the growth of Salmonella on seafood. The faster Salmonella growth rate has been seen in seafood kept at ambient temperatures in the current investigation. This must be attributed due to the intrinsic factors like suitable nutrient composition, pH and availability of higher water content in seafood. The proximate composition of seafood is well documented and seafood is reported to be source of rare and vital nutritional elements like minerals, vitamins, lipids and amino acids that apparently support the bacterial growth [20]. Presence of such vital and ideal nutritional elements in seafood must have given impetus to the growth of Salmonella in seafood. In addition, contact surface and water content available in seafood are also considered vital components for growth of bacteria. We demonstrate that non-typhoidal and typhoidal Salmonella serovars multiplied very efficiently in seafood without further addition of external water, which, in turn, suggests that available water content in seafood is adequate for proper multiplication of Salmonella. The average water content in common seafood is reported to be 80 % of the body weight [20], which is rather high as compared to any other food including fresh meat. Our data supports that the inherent moisture content may have contributed to the rapid proliferation of pathogen on seafood. In addition, non- availability of competing microflora might have given the contributory effect on exuberant growth of Salmonella on seafood in our study. We highlight that Salmonella has the ability to grow seafood alone and the consequence of expedite growth of Salmonella in seafood alone can be serious. Taken together, we may imply that seafood has provided all necessary nutritional inputs, sufficient amount water and overall suitable environment for the growth of both non- typhoidal and typhoidal Salmonella serovars at favourable temperature, thus, makes seafood the most vulnerable food for the growth of Salmonella at ambient temperature. Further, we sought to gain insight into the dynamics of cellular activity and multiplication on the amount and content of stable RNA which ultimately indicate the well being of cellular machinery of an organism. The mRNA shows the gene expression process and overall turnover rate of cellular activity of a cell. Even in the past, r-RNA has been reported to use as an indicator of the microbial activity [21]. Similarly, we tried to establish that r-RNA can be a useful and qualitative indicator of bacterial metabolic activity when it constitutes more than 90 % of the bacterial total RNA. Quantification of total RNA was probably an effort made in this study to speculate it as a qualitative indicator of cellular growth and activity. Here, we demonstrate that quantity of RNA was proportionately related to the temperature exposure given to the organism in presence of seafood. Detection of higher concentration of RNA was obtained from Salmonella serovars kept at RT and 45 °C as compared to the 4 and −20 °C. We demonstrate that total RNA steadily increased upto 3 day of incubation in seafood, even though, there was decline in Salmonella count beyond day 1 on seafood following the incubation at RT and 45 °C. This highlights the existence of negative correlation between RNA concentration and cell count during day 1 to 3 in both strains. The continual progress in total RNA concentration upto day 3 even when cell count was found to be declined at same stage has indicated that seafood may either providing protective environment or prolonging the cellular activity of Salmonella, consequently, RNA content remained stable and active for longer time at the ambient temperature. No such phenomenon was observed for Salmonella stored at low temperature. It has been documented previously that starvation gives most detrimental effect on degradation of the stable RNA in bacteria and at very low growth rates as much as 70 % of the newly synthesized rRNA does not accumulate in ribosomes and apparently undergo degradation [22]. Further, results highlight that less cellular activity was occurring at 4 °C and no metabolic activity prevailed at −20 °C, could be attributed due to the frozen conditions of cell contents as well as cell death. We next tried to understand the level of expression of Salmonella virulence and stress gene on seafood following a diverse temperature exposure regimen. The amount of total RNA obtained from different temperature exposure groups of Salmonella Weltevreden and Salmonella Typhi on seafood are used to detect the expression of target rpoE, invA, stn and fimA genes. Regarding Salmonella Weltevreden virulent and stress genes expression, present data revealed that invA gene expressed differently at RT, 4 and 45 °C; it was substantially upregulated at RT and significantly down regulated at 4 and 45 °C (p < 0.05). Similarly, expression of stn gene of Salmonella Weltevreden at RT remained upregulated on day 1 and 3, and thereafter down regulation was observed on day 5 and 7. Further, we found that stn gene of Salmonella Weltevreden remained down regulated at 4 and 45 °C, nevertheless, upregulation was noted for Salmonella Typhi following the storage at RT and 45 °C. This signifies the induction of virulent genes in Salmonella Typhi with wide range of temperature in seafood. We further demonstrate that storage of Salmonella Typhi in seafood at RT has shown much increased (>13-fold) in fimA and stn gene expressions on day 1 and their expression pattern remained upregulated till day 5 (p < 0.05). We demonstrate that except fimA gene, the increase in expression of virulence genes invA and stn of Salmonella Weltevreden and Salmonella Typhi primarily express at the ambient temperature in seafood. The current study demonstrated that there was apparent difference in expression pattern of virulent genes in non-typhoidal viz-a-viz. typhoidal serovar signifies the existence of higher level of virulence factors in Salmonella Typhi in seafood which in turn is capable of contributing real-time more vigour towards its pathogenicity as compared to Salmonella Weltevreden. It was previously reported that expression of invA gene remained static after starvation in seawater for 3 years at room temperature [23]. Concurrently, report has shown that environmental factors such as osmolarity and temperature have crucial role for expression of inv genes due to DNA super coiling and reduction in linking number of DNA [24]. Based on our data, it is also intriguing to report that the amount of total RNA of Salmonella Typhi was much lower as compared to Salmonella Weltevreden, but the expression of Salmonella Typhi, invA, stn and fimA genes were relatively high at ambient temperature. This could be due to the mRNA transcripts of Salmonella Typhi must be much higher in total RNA as compared to that of Salmonella Weltevreden.

Among the other virulence gene investigated, transcription of fimA gene of Salmonella Weltevreden was up-regulated during storage at 4 °C and significantly down regulated when stored at RT and 45 °C (p < 0.05). Similar observation was noted for Salmonella Typhi. It was reported that an 11-fold increase in activity of fim A promoter when growth temperature declined from 39 to 34 °C in Porphyromonas gingivalis [25]. A complex molecular mechanism has been proposed for the temperature controlled fimbrial circuit switch in uropathogenic E.coli [26]. The rate of transcription of fimA in E.coli was reported to be consistently higher at 30 °C than to 37 °C [27]. More recently, it is reported that virulence factors are regulated by temperature-sensing RNA sequences, known as RNA thermometers (RNATs) which are present in their mRNAs [28]. Taken together, our data demonstrate that fimA gene of Salmonella has an ability to induce the transcriptional mechanism even at very low temperature (4 °C). Expression of rpoE gene of Salmonella Weltevreden and Salmonella Typhi in seafood remained down regulated at −20, 4, RT and 45 °C (p > 0.05) and no specific pattern of expression was observed for rpoE. The reason behind this static down regulation in rpoE gene could be due to its induction under the carbon starvation and osmotic stress conditions unlike this study [14]. It has been reported that Salmonella rpoE is not essential for its viability at high temperature. The rpo genes are generally expressed in stress conditions and rpoE and rpoH has been reported to involve in antioxidant defence by enhancing expression of rpoS in Salmonella.

Conclusions

This work provides the evidence that considerable increase in Salmonella population takes place within 24 h and seafood can be a suitable growth medium for multiplication of Salmonella at ambient and above RT upto 45 °C. The temperature range for the growth of Salmonella spp. is 5.2–46.2 °C, where the optimal temperature range lies in between 35 and 43 °C [29]. Exposure to low temperature, typhoidal Salmonella was found to be more sensitive as compared non-typhoidal serovar. We provided the evidence that concentration of Salmonella total RNA indicates its preparedness in the form of metabolic and cellular activities to cope with environmental stress while in contact with seafood. Relative expression of stress and virulent genes of Salmonella reveals both in terms of activation and repression of target genes in diverse expression modes depending upon the exposure of temperature and cellular activity. Interestingly, Salmonella Typhi seems to be more potent and showed increased ability to induce the expression of invA and stn genes. Expression of fimA gene was induced at low temperature in both typhoidal and non-typhoidal Salmonella serovars. It is therefore, important to point out that room temperature has been found the most ideal temperature for increased expression of virulent invA and stn genes which signify the level of pathogenicity of organism remained high and active in seafood.

Methods

Salmonella cultures and inocula preparation

Two representative, non-typhoidal and typhoidal Salmonella serovars i.e. Salmonella enteric serovar Weltevreden and Salmonella Typhi isolated previously from seafood were included in this study [1]. Frozen stock of Salmonella Weltevreden and Salmonella Typhi (−80 °C) was cultured in Brain Heart Infusion (BHI) broth. The cultures from BHI broth was put onto BHI agar and single colony of Salmonella Weltevreden and Salmonella Typhi from BHI agar was streaked onto BHI agar slants. The inoculation culture was prepared by transferring culture from agar slant to BHI broth (5 ml) and one ml of overnight culture was centrifuged at 7000 × g for 2 min to settle down the cells. The pellets of Salmonella Weltevreden and Salmonella Typhi were diluted in sterile normal saline to get approximately 2x107 CFU/ml and 2x106 CFU/ml count, respectively. Finally, the pellets were resuspended in 1 ml of sterile normal saline and used immediately to spike the fish fillets.

Seafood preparation, spiking and growth rate analysis

We have selected common marine fish, Indian Mackerel (Rastrelliger kanagurta) of the Indian Ocean to this study. Fresh fish collected from the local market (Cochin) was utilized in the preparation of fillets. Fish fillets of smaller size (~6 x12cm) were prepared by removing skin and gut regions, aseptically and total of 800 g was included in the study. The surface of fish fillets was wiped with ethanol to eliminate background flora and subsequently rinsed with sterile normal saline to remove the impact of ethanol. Fish fillets were spiked with 2x107CFU/400 g of fresh and active culture of Salmonella Weltevreden and the inoculum was uniformly distributed over fillets using a sterile cotton swab. Similarly, another batch of fish fillets was spiked with 2x106CFU/400 g active culture of Salmonella Typhi and inoculum was distributed uniformly as mentioned above. Both batches of spiked seafood samples were divided the into four different groups and each group (100 g) was incubated, separately at −20 °C in Deep freezer (Vestfrost, India), room temperature (26 ± 1 °C), at 4 °C in BOD incubator (Kemi, India) and at 45 °C incubator (GFL, Germany). Survival count of Salmonella Weltevreden and Salmonella Typhi was determined at 0, 1, 3, 5, 7 days interval from each group stored at −20, 4, RT and 45 °C on xylose lysine deoxycholate agar and ChROMagar™ Salmonella followed by serological confirmation [30]. Unless otherwise stated all dehydrated bacterial culture media were procured from BD, USA.

RNA extraction and estimation

Salmonella Weltevreden and Salmonella Typhi samples were drawn for RNA isolation at 0, 1, 3, 5, 7 days interval from individual temperature group stored at −20, 4, RT and 45 °C. Roughly 2g of fish fillets was mixed by vortexing with1 ml of sterile H2O and subjected to low centrifugation at 500 × g for 2 min to settle down the seafood debris. The pellet was used for isolation of total RNA. For frozen fillets (−20 °C), a small porti on was thawed each time to withdraw the sample and rest of steps followed for RNA isolation were same as in case of other samples. RNA extraction from bacterial cells was performed with RNeasy Protect Bacterial Mini Kit (Qiagen, India) following the manufacturer’s instructions for Gram-negative bacteria. Contamination of the genomic DNA from each RNA preparation was removed using the Turbo DNA-free™ (Ambion, Life Technologies, USA), according to the manufacturer’s instruction for rigorous DNase treatment. Quantification of the total RNA was determined using Qubit® (Life Technologies, USA) and the quality of RNA was determined using Bioanalyzer 2100 (Agilent Technologies, USA). Total RNA isolated from samples was immediately taken for cDNA synthesis.

cDNA synthesis and relative expression

Salmonella Salmonella Weltevreden and Typhi stress (rpoE) and virulence genes (fimA, stn, invA) in fish fillets at −20, 4, RT and 45 °C was determined using real-time PCR based differential gene expression study. Relative expression by qRT-pCR used gapdh as an endogenous reference gene in this study. The sequences for all primers used in this study were designed from accession number NC_003197 using DNASTAR Inc. (USA) and primers are listed in Table 1. cDNA was synthesized using Express One-Step qRT-PCR SYBR Green synthesis kit (Invitrogen, Life Technologies, USA) with specific primers as per manufacturer’s instructions. qRT-PCR assay was carried out in Chromo4™ DNA Engine (Bio-Rad, USA) real- time system. The reaction constituents consisted of Express SYBR GreenER supermix, 0.2 uM of each primers, ~250 ng of total RNA and final volume of reaction was made upto 20 μl. The cycling conditions were 50 °C for 5 min (cDNA synthesis), 95 °C for 2 mi n followed by 40 cycles of 95 °C for 15 s and 60 °C for 1 min. Subsequently melting curve analysis was performed between 60 and 95 °C at a transition rate of 0.1 °C/s to confirm the specificity of the PCR products. Each set of experiment was included with No Reverse Transcriptase Control (NRTC) to confirm the absence of genomic DNA contamination. Relative expression was calculated based on 2-∆∆C T equation [31].
Table 1

PCR primers used in qRT- PCR gene expression assays

Gene

Product size (bp)

Sequence (5’-3’)

fimA

92

TGTGCCGTCAGCACTAAATCTGGTGTTATCTGCCTGACCA

invA

268

GTGAAATTATCGCCACGTTCGGGCAATCATCGCACCGTCAAAGGAACC

Stn

181

TGTGCCGTCAGCACTAAATCTGGTGTTATCTGCCTGACCA

rpoE

165

GGTAGTTCTTCGCGGTATTGACATAAAGTGGCGAGTCTGGTTTC

gapdh

215

ACCGTTGAAATCGGTAGATACAATAGGTAAAGTACTGCCGGAACTG

Statistical analysis

The effect of storage at −20, 4, RT and 45 °C on growth of cells, stress and virulence gene expression was investigated in replicates by three independent experiments. Real-time PCR assay was conducted in duplicate and data was analyzed using ANOVA.

Declarations

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Microbiology, Fermentation & Biotechnology Division, Central Institute of Fisheries Technology, Cochin, India
(2)
Animal Biotechnology Centre, National Dairy Research Institute, Karnal, India

References

  1. Kumar R, Surendran PK, Thampuran N. Distribution and genotypic characterization of Salmonella serovars isolated from tropical seafood of Cochin, India. J Appl Microbiol. 2009;106:515–24.View ArticlePubMedGoogle Scholar
  2. Guerin PJ, de Jong B, Heir E, Hasselvedt V, Kapperud G, Styrmo L, et al. Outbreak of Salmonella Livingstone infection in Norway and Sweden due to contaminated fish products. Epidemiol Infect. 2004;132:889–95.PubMed CentralView ArticlePubMedGoogle Scholar
  3. Brands DA, Inman AE, Gerba CP, Maré CJ, Billington SJ, Saif LA, et al. Prevalence of Salmonella spp. In oysters in the United States. Appl Environ Microbiol. 2005;71:893–7.PubMed CentralView ArticlePubMedGoogle Scholar
  4. Iwamoto M, Ayers T, Mahon BE, Swerdlow DL. Epidemiology of seafood-associated infections in the United States. J Clin Microbiol. 2010;23:399–411.View ArticleGoogle Scholar
  5. Heinitz ML, Ruble RD, Wagner DE, Tatini SR. Incidence of Salmonella in fish and seafood. J Food Prot. 2000;63:579–92.PubMedGoogle Scholar
  6. Amagliani G, Brandi G, Sachiavano GF. Incidence and role of Salmonella in seafood safety. Food Res Int. 2012;45:780–8.View ArticleGoogle Scholar
  7. Nissen H, Maugesten T, Lea P. Survival and growth of Escherichia coli O157:H7, Yersinia enterocolitica and Salmonella Enteritidis on decontaminated and untreated meat. Meat Sci. 2001;57:291–8.View ArticlePubMedGoogle Scholar
  8. Ingham SC, Wadhera RK, Fanslau MA, Buege DR. Growth of Salmonella Serovars, Escherichia coli O157:H7, and Staphylococcus aureus during thawing of whole chicken and retail ground beef portions at 22 and 30 °C. J Food Prot. 2005;68:1457–61.PubMedGoogle Scholar
  9. Humphrey T. Salmonella, stress responses and food safety. Nat Rev Microbiol. 2004;2:504–9.View ArticlePubMedGoogle Scholar
  10. Riehle MM, Bennett AF, Long AD. Genetic architecture of thermal adaptation in Escherichia coli. Proc Natl Acad Sci U S A. 2001;98:525–30.PubMed CentralView ArticlePubMedGoogle Scholar
  11. Yang Y, Kadim MI, Khoo WJ, Zheng Q, Setyawati MI, Shin Y-J, et al. Membrane lipid composition and stress/virulence related gene expression of Salmonella Enteritidis cells adapted to lactic acid and trisodium phosphate and their resistance to lethal heat and acid stress. Int J Food Microbiol. 2014;191:24–31.View ArticlePubMedGoogle Scholar
  12. Deutscher MP. Degradation of RNA in bacteria: comparison of mRNA and stable RNA. Nucleic Acids Res. 2006;34:659–66.PubMed CentralView ArticlePubMedGoogle Scholar
  13. Clavijo RI, Loui C, Andersen GL, Riley LW, Lu S. Dentification of genes associated with survival of Salmonella enterica serovar Enteritidis in chicken egg albumen. Appl Environ Microbiol. 2006;72:1055–64.PubMed CentralView ArticlePubMedGoogle Scholar
  14. Bang I-S, Frye JG, McClelland M, Velayudhan J, Fang FC. Alternative sigma factor interactions in Salmonella: σE and σH promote antioxidant defences by enhancing σS levels. Mol Microbiol. 2005;56:811–23.View ArticlePubMedGoogle Scholar
  15. Asten AJ, Dijk JE. Distribution of “Classic” virulence factors Salmonella serovars. FEMS Immunol Med Microbiol. 2005;44:251–9.View ArticlePubMedGoogle Scholar
  16. Clegg S, Gerlach GF. Enterobacterial fimbriae. J Bacteriol. 1987;169:934–8.PubMed CentralPubMedGoogle Scholar
  17. Darwin KH, Miller VL. Molecular basis of the interaction of Salmonella with the intestinal mucosa. Clin Microbiol Rev. 1999;12:405–28.PubMed CentralPubMedGoogle Scholar
  18. Martinez-Urtaza J, Saco M, de Novoa J, Perez-Pieiro P, Peiteado J, Lozano-Leon A, et al. Influence of environmental factors and human activity on the presence of Salmonella serovars in a marine environment. Appl Environ Microbiol. 2004;70:2089–97.PubMed CentralView ArticlePubMedGoogle Scholar
  19. Thushani W, Ariyawansa KWS, Arampath PC. Recovering ability of freeze-stressed Salmonella Typhimurium and Staphylococcus aureus cells in frozen shrimp. Ceylon J Biol Sci. 2003;31:61–7.Google Scholar
  20. Huss, H.H. Quality and quality changes in fresh fish, FAO Fisheries Technical Report Paper– 348, Rome: Food and Agriculture Organization of the United Nations; 1995.Google Scholar
  21. Ramos C, Mølbak L, Molin S. Bacterial activity in the Rhizosphere analyzed at the single-cell level by monitoring ribosome contents and synthesis rates. Appl Environ Microbiol. 2000;66:801–9.PubMed CentralView ArticlePubMedGoogle Scholar
  22. Deutscher MP. Degradation of stable RNA in bacteria. J Biol Chem. 2003;278:45041–4.View ArticlePubMedGoogle Scholar
  23. Lagha R, Ellafi A, Abdallah FB, Saidi N, Bakhrouf A. Alteration of outer membrane proteins, secreted proteins and virulence gene expression of Salmonella enterica serovar Typhimurium in response to long-term starvation. Afr J Microbiol Res. 2012;6:6182–8.View ArticleGoogle Scholar
  24. Chowdhury R, Sahu GK, Das J. Stress response in pathogenic bacteria. J Biosci. 1996;21:149–60.View ArticleGoogle Scholar
  25. Xie H, Chung WO, Park Y, Lamon RJ. Regulation of the Porphyromonas gingivalis fimA (Fimbrillin) Gene. Infect Immun. 2000;68:6574–9.PubMed CentralView ArticlePubMedGoogle Scholar
  26. Kuwahara H, Myers CJ, Samoilov MS. Temperature control of fimbriation circuit switch in uropathogenic Escherichia coli: quantitative analysis via automated model abstraction. PLoS Comput Biol. 2010;6:e1000723. doi:10.1371/journal.pcbi.1000723.PubMed CentralView ArticlePubMedGoogle Scholar
  27. Dorman CJ, Ní Bhriain N. Thermal regulation of fimA, the Escherichia coli gene coding for the type 1 fimbrial subunit protein. FEMS Microbiol Lett. 1992;78:125–30.View ArticlePubMedGoogle Scholar
  28. Kortmann J, Narberhaus F. Bacterial RNA thermometers: molecular zippers and switches. Nat Rev Microbiol. 2012;10:255–65.View ArticlePubMedGoogle Scholar
  29. ICMSF. Salmonellae. Ch 14. In: Microorganisms in food 5: microbiological specifications of food pathogens. London: Blackie Academic and Professional; 1996. p. 217–64.Google Scholar
  30. Andrews WH, Jacobson A, Hammack T. Bacteriological Analytical Manual, Salmonella 2011; http://www.fda.gov/Food/FoodScienceResearch/LaboratoryMethods/ucm070149. Accessed on August 26, 2012.
  31. Pfaffl MW. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001;29:e45.PubMed CentralView ArticlePubMedGoogle Scholar

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