Background

Nematode-bacterial associations have proven to be complex but our knowledge of their natural occurrence is limited. Two well-studied cases of nematode-bacterial associations are those of entomopathogenic nematodes and the case of Wolbachia and filarial worms [1]. Nematodes in these associations are considered obligate animal parasites. These studies demonstrated that bacterial associations could give the nematodes an advantage in ensuring the availability of food and the survival of the nematode species, and could even impact developmental processes of the host. Despite extensive studies on these well-characterized nematode-bacterial associations, there is very little data on bacteria associated with free-living nematodes. Despite extensive research, our understanding of the ecology of Caenorhabditis in its natural settings is little explored [2]. For example, a recent study has changed the long-standing view that Caenorhabditis are inhabitants of organic rich soil environment to one where they are considered “fruit-worms” [3].

Bacterial associations of Caenorhabditis can vary vastly: they may be mutualistic, parasitic, or may be commensal where worms serve as vectors of pathogenic bacteria as in the case of C. elegans and Salmonella[4]. Pseudomonas strain DSS73 has been shown to associate mutually with C. elegans, increasing their survival in complex multispecies environments [5].

Although Caenorhabditis has long been considered to maintain necromenic associations with invertebrates [6], a recent report demonstrated, in laboratory experimental setting, a more active killing ability than the usual necromeny where an C. briggsae/Serratia marcescens association was shown to kill Galleria [7].

Serratia marcescens is a cosmopolitan bacterium widely isolated from soil, water, plants and insects, and exhibits pathogenic or saprophytic characteristics [8]. Its opportunistic pathogenicity in humans is also well recognized. Three recent studies have reported the association of Serratia with nematodes [7, 9, 10]. Those nematodes were isolated using standard Galleria traps and in all the three cases the association afforded the ability to kill the insect in laboratory setting which was mutually beneficial to the nematodes and bacteria. These laboratory associations are tripartite and complex involving the nematode that goes into the host insect, and symbiotically associated bacteria that kills the insect and in the process serves as food and creates a favorable environment for the nematodes to reproduce and complete their life cycle. Symbiosis, in biological context, is a broad term that represents long term associations between different biological species and could be one of the three main types: mutualism, commensalism, and parasitism.

Pathogenic bacteria are related to increased mortality, and reduced fecundity [1113]. On the other hand, within the specific association of Caenorhabditis with Serratia marcescens, experimental tests of pathogenicity of the bacteria towards Caenorhabditis were shown to be strain-specific. Serratia marcescens Db10, for example, is known to kill Caenorhabditis[11, 13], but S. marcescens SCBI did not kill the worms, instead it afforded them insect killing ability [7]. Given that Serratia is pathogenic to Caenorhabditis in experimental settings, investigating the cost of this relationship is relevant to a better understanding of the association and its historical progress. Also, it has been shown that the progeny count of C. elegans improved by 58% when fed live bacteria rather than feeding on dead bacteria [14] indicating that food quality impacts fitness in Caenorhabditis. As fitness is a key ecological parameter in measuring the success of any organism, and can be measured using reproductive rate, the objective of this research was 1) to evaluate if feeding on S. marcescens SCBI has a fitness cost for C. briggsae KT0001 and, 2) to estimate life history characteristics of the tropical strain – C. briggsae KT0001 – under laboratory conditions.

Results

Survivorship

Juvenile mortality was not observed in either the E. coli OP50 or S. marcescens SCBI fed C. briggsae, with all 88 juveniles surviving to maturity. Most of the reproductive output was complete by day 5 for both groups, and the survival rate for each group at that time was 85% for the E. coli OP50 fed population and 88% for the S. marcescens SCBI fed population. Both S. marcescens SCBI fed and E. coli OP50 fed populations of C. briggsae exhibited Type I survivorship curve (Figure 1) typical for the species, with most surviving until near end of life span. We found no significant difference in survivorship between the two groups of C. briggsae (log rank test, Chi sq = 0.4, p = 0.543): median survival rate (TL50) was 9 days. Average lifespan was 9.1 ± 2.8 days with a maximum lifespan of 14 days for the E. coli OP50 group compared to an average lifespan of 9.4 ± 2.9 days and maximum lifespan of 15 days in the S. marcescens SCBI group.

Figure 1
figure 1

Survivorship curve of C. briggsae fed on either S. marcescens or E. coli OP50. Curves represent the percentage of survivors as a function of time. Sample sizes were n = 46 (E. coli OP50) and n = 42 (S. marcescens).

Reproduction

Reproduction was observed over a period of 15 days (day 0–14) with 9,385 offspring counted for all 88 individuals. Onset of reproduction was significantly different (p < 0.05) with mean onset of reproduction at 2.12 days for the E. coli OP50 fed population and at 2.42 days for the S. marcescens SCBI fed population. A comparison of fecundity of C. briggsae fed on E. coli OP50 and fed on S. marcescens SCBI is shown in Figure 2. Fecundity was most pronounced between days 2 and 5, with day 4 marking the peak for both groups. Maximum age-specific fecundity peaked at a mean of 38 offspring/survivor for E. coli OP50 fed population and 40 offspring/survivor for S. marcescens SCBI fed population (Table 1). This difference was not statistically significant (p = 0.222).

Figure 2
figure 2

Fecundity of C. briggsae fed on either E. coli OP50 or S. marcescens SCBI. Sample sizes were n = 46 (E. coli OP50) and n = 42 (S. marcescens SCBI).

Table 1 Life table and fecundity schedule of C. briggsae fed on E. coli OP50 or S. marcescens SCBI

We plotted total number of produced eggs against total lifetime (Figure 2) as suggested by Davies and Hart [14] and Muschiol et al. [15], to explore whether the two estimates are related. Spearman’s rho was weak but significant in both groups (E. coli OP50: rs = 0.45, p < 0.01; S. marcescens SCBI: rs = 0.43, p < 0.01).

The fecundity schedule of C. briggsae KT0001 is given in Table 1. The sum of age-specific fecundity produced total fertility rates of 116 for the E. coli OP50 fed group and 117 for the S. marcescens SCBI fed group with net reproductive rates (R0) of 107 for both groups (Table 1). The minute discrepancies are due to the minutia difference in age-specific mortality.

Cohort generation time (TC) and intrinsic rate of natural increase (rm) differed slightly between the two groups with the E. coli OP50 fed C. briggsae KT0001 having a cohort generation time (TC) of 3.372 days and an intrinsic rate of natural increase (rm) of 1.385; and the S. marcescens SCBI fed C. briggsae having a cohort generation time (TC) of 3.892 days and an intrinsic rate of natural increase (rm) of 1.200. Population doubling times for C. briggsae KT0001 were calculated to be 12.0 hours for the E. coli OP50 fed group and 13.9 hours for the S. marcescens SCBI group. This is in comparison to known C. elegans populations doubling times [15] of 11.4 hrs (N2) and 12.1 hrs (MY6) when fed E. coli OP50 at 20 ± 1°C.

Discussion

The relationship between Caenorhabditis and S. marcescens has been shown to be strain and genotype-specific in lab experimental studies. For example, S. marcescens Sma13 is more virulent than S. marcescens ATCC274 to C. elegans MY10, but these results are contrary to what is reported for C. elegans MY20. C. elegans MY15 is also unique, with higher susceptibility to S. marcescens ATCC274 than to S. marcescens Db11, since most other C. elegans strains are more susceptible to Db11. It is not known if such strain- and genotype-specific relationships exist under natural conditions [16]. However, the isolation of S. marcescens SCBI from C. briggsae KT0001 [7] in the framework of exploring nematode-bacterial associations, enabled us conduct our current study and the results give strong support to co- evolutionary interactions as was suggested by Schulenburg and Ewbank [16].

Survivorship

Survivorship is known to be markedly reduced for Caenorhabditis fed on pathogenic bacteria when compared to those fed on E. coli OP50 control [11, 12, 1623]. This has been repeatedly shown on various strains of C. elegans with S. marcescens[11, 16, 1820]. Sifri et al. [20] surveyed various survival rates for C. elegans fed on S. marcescens and found median survival rates (TL50) of 2–6 days; similar results were observed (TL50 = 4–5 d) by Pradel et al. [19] using two different strains of S. marcescens. These results differ greatly from our current results with our TL50 of 9 days for both groups of C. briggsae KT0001. The starkly similar survivorship curves of our C. briggsae grown on S. marcescens SCBI and E. coli OP50 may provide a strong indication that nematode-bacterial association in general and Caenorhabditis/S. marcescens relationships in particular, in the wild, may differ greatly from our current understanding based solely on laboratory experimental interactions.

Reproduction

Fecundity has been shown to be species specific in Caenorhabditis in the context of interactions with pathogenic bacteria. Rae et al. [23] showed a significant reduction in fecundity associated with high mortality before and during peak reproduction, while Baeriswyl et al. [12] showed no significant difference in fecundity in relation to various strains of E. coli, had an earlier onset of reproduction and less mortality prior to peak reproduction. This suggests that fecundity is reduced in Caenorhabditis by highly pathogenic bacteria due to age-specific morbidity and mortality. Our results showed no significant difference between net reproductive rate or total fertility which, in light of Rae et al. [23], precludes the C. briggsae KT0001/S. marcescens SCBI relationship from the league of the highly pathogenic relationships reported elsewhere. Differences in mean onset of reproduction were significant (2.12 days for the E. coli OP50 fed group and 2.42 days for the S. marcescens SCBI fed group). This shift reduced overall fitness by increasing cohort generation time (TC) and reducing intrinsic rate of natural increase (rm). This shows that although the relationship shows a marked difference from entirely pathogenic forms, it is not entirely mutualistic either at a level comparable to what we observe in archetypical entomopathogenic nematodes and their symbionts. Life history theory suggests this shift may be due to an investment in defense mechanisms [24]. The maintenance of net reproductive rate and total fertility, despite investments in defense mechanisms, supports long term co-evolutionary interactions consistent with a non-transient relationship.

Symbiotic relationships are often complex and range from parasitic to mutualistic. The fitness benefits of microbial symbionts to the symbiont partner is recently shown to be context dependent [25] where environmental factors may affect rapid shifts between mutualism and parasitism [26]. Weeks et al. [27] showed that such evolutionary shifts in nature can be achieved within a relatively short period of time. Moreover, the theoretical divide between parasitism and mutualism has blurred over the last decade in that mutualists are selected to minimize their costly contributions while maximizing their benefits from the relationship – a processes resembling the ‘antagonistic arms race’ model except here the symbiont pair are selected to exploit each other while minimizing loss on their side [28]. Sachs et al. [28] argues that “transitions to host association might be constrained only by access to and compatibility with horizontally transferred loci that engender host-association traits”. Previous reports of some Serratia marcescens as pathogenic to Caenorhabditis species, and recent findings that many species of Serratia are symbiotically associated with invertebrate hosts and our findings of a Serratia marcescens SCBI associated with C. briggsae KT0001 that experimentally was able to kill Galleria are in support of an unexplored diversity of Serratia within an umbrella species name – Serratia marcescens. In addition, Sachs’ et al. [28] predictions coupled with the fact that nematodes and bacteria are two species-rich and ancient groups [29, 30] imply that expecting to find a diverse array of hitherto undiscovered nematode-bacterial associations is not unreasonable.

Conclusion

S. marcescens SCBI does not affect the longevity of C. briggsae KT0001. As a result, the association between the two is likely to impose a minimal reproductive cost to the nematode, an indication that although such associations between Caenorhabditis and Serratia have been widely reported to affect the fitness of the nematode through bacterial pathogenicity, our findings show the C. briggsae KT0001/S. marcescens SCBI association to be an exception to the rule.

Methods

Culture maintenance

We used C. briggsae KT0001 from the original collection at the Hubbard Center for Genome Studies, University of New Hampshire. C. briggsae were cultivated from frozen stocks, and were maintained on Nematode Growth Media (NGM) by transferring a number of adults every week onto a NGM plate with fresh food [31, 32]. The primarily goal of the experiment was to test the implications of the two types of bacterial food sources, S. marcescens SCBI and E. coli OP50, on nematode reproductive potential. As a result, nematodes were maintained on two sets of cultures: one seeded with 20 μL E. coli OP50 starting from the initial thawing to the completion of the experiment and the second on S. marcescens SCBI.

Nematode Growth Gelrite (NGG) media was prepared following the protocol described by Muschiol & Traunspurger [33]. NGG was made by replacing agar with 1.5 g of gellan gum in NGM. The viscosity of this media allowed individuals to move freely throughout the media whilst preventing bacteria from settling. Its transparency also allowed easy transfer of individuals and counting of juveniles.

Food preparation

E. coli OP50 and S. marcescens SCBI were inoculated into sterile LB broth and put on a shaker for 24 hours at 20°C to allow for cell growth. After 24 hrs, bacteria were concentrated to 1010cells/mL using an absorption (OD600) vs. bacterial concentration curve [33].

Experimental setup

Our experimental setup closely followed that described by Muschiol and Traunspurger [15]. Sets of 24 well multi-well plates were used with 10 μL mixture drops (i.e. 8 μL of NGG with 2 μL of bacterial food) added to the center of the lid of each well of the multi-well plate. The wells consisted of a 1 mL mix of cellulose and sterile water in order to maintain humidity and prevent the drops from drying out. A synchronous juvenile worm was added to each drop. Every 24 hours we transferred each worm to a new NGG drop until all died. All NGG drops were kept at 20°C in the environmental chamber for an additional 24 hours after the individual was transferred or died. This 24 hr time allowed eggs to hatch. We counted only juveniles as an indicator of fertile eggs. Twenty-four hours after transfer, juveniles were stained with 10 μL of rose Bengal, squashed with a 30 mm round cover slip, and counted under a 40X magnification dissecting microscope (Olympus SZX10 Stereomicroscope).

Data processing

Life tables and fecundity schedules (Table 1) were constructed to find cohort generation time (TC), intrinsic rate of natural increase (rm), and population doubling time (PDT) using the following equations:

TFR = m ×
(1)
R 0 = × m ×
(2)
T c = x x m x / R 0
(3)
r m = ln R 0 / T c
(4)
PDT = ln 2 / r m
(5)

x = time [d]

lx = age specific survival probability

mx = age specific fecundity

TFR - total fertility rate

R0 = net reproductive rate

TC = cohort generation time

rm = approximate intrinsic rate of natural increase

PDT = population doubling time

The net reproductive rate (R0) is the average number of offspring from an individual in a lifetime, and dependent on age specific mortality. Cohort generation time (TC) is the mean age of a female cohort at reproduction. The intrinsic rate of natural increase (rm) is a measure of growth rate and fitness in a population of stable age distribution, and unlimited growth [15].

Statistical analysis was carried out using Microsoft Excel (2007) or manually. Unpaired data was compared using student’s T-test. Survivorship was compared using a log-rank test, and total number of offspring vs. total lifetime was correlated using Spearman’s rho.