Pathogens represent a universal threat to other living organisms. Most organisms express antimicrobial proteins and peptides, such as lysozymes, as a protection against these challenges. The nematode Caenorhabditis elegans harbours 15 phylogenetically diverse lysozyme genes, belonging to two distinct types, the protist- or Entamoeba-type (lys genes) and the invertebrate-type (ilys genes) lysozymes. In the present study we characterized the role of several protist-type lysozyme genes in defence against a nematocidal strain of the Gram-positive bacterium Bacillus thuringiensis. Based on microarray and subsequent qRT-PCR gene expression analysis, we identified protist-type lysozyme genes as one of the differentially transcribed gene classes after infection. A functional genetic analysis was performed for three of these genes, each belonging to a distinct evolutionary lineage within the protist-type lysozymes (lys-2, lys-5, and lys-7). Their knock-out led to decreased pathogen resistance in all three cases, while an increase in resistance was observed when two out of three tested genes were overexpressed in transgenic lines (lys-5, lys-7, but not lys-2). We conclude that the lysozyme genes lys-5, lys-7, and possibly lys-2 contribute to resistance against B. thuringiensis, thus highlighting the particular role of lysozymes in the nematode's defence against pathogens.
Citation: Boehnisch C, Wong D, Habig M, Isermann K, Michiels NK, Roeder T, et al. (2011) Protist-Type Lysozymes of the Nematode Caenorhabditis elegans Contribute to Resistance against Pathogenic Bacillus thuringiensis. PLoS ONE 6(9): e24619. https://doi.org/10.1371/journal.pone.0024619
Editor: Thierry Soldati, Université de Genève, Switzerland
Received: June 22, 2011; Accepted: August 14, 2011; Published: September 8, 2011
Copyright: © 2011 Boehnisch et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: RCM acknowledges financial support from the BBSRC (grant BB/F000138/1); HS from the German Science Foundation (grant SCHU 1415/3). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Lysozymes are small enzymes, which can cleave peptidoglycan, an essential component of bacterial cell walls. They are found in almost all groups of organisms and play important roles in both immunity and digestion –. In several organisms including the Caenorhabditis taxon the evolution of lysozymes is characterized by gene duplication and adaptive sequence evolution, leading to substantial intra-specific enzyme diversification –. C. elegans is of particular interest in this context, because its genome contains 15 phylogenetically diverse lysozyme genes, the largest number recorded to date .
C. elegans lysozymes are of two distinct types, the invertebrate- (ilys genes) and the protist- or Entamoeba-type (lys genes). The latter group further diverges into two distinct clades . Representative members of the two main types are known from other organisms to act as functional antimicrobial enzymes , , suggesting that they have a similar function in C. elegans. In the nematode, the encountered genetic diversity may reflect functional diversity , in a similar way to that demonstrated for the antimicrobial nlp genes . To date, only little information is available on the exact function of lysozymes in C. elegans immunity. All available data is based on genetic analysis, whereas none of the lysozymes have been characterized at the protein level. In particular, four lysozyme genes were directly shown by overexpression and mutant or RNAi-knock down analysis to contribute to the nematode's defence against pathogens: lys-1 against Serratia marcescens and Staphylococcus aureus , ; lys-2 against Pseudomonas aeruginosa ; lys-7 against Microbacterium nematophilum, P. aeruginosa, Salmonella Typhimurium, the pathogenic Escherichia coli strain LF82, and Cryptococcus neoformans –, and ilys-3 against M. nematophilum . In addition, seven other lysozymes have been implicated in immunity because exposure of C. elegans to various pathogens leads to changes in their transcription patterns , –.
In the present study we focused on the role of protist-type lysozymes in C. elegans defence against the Gram-positive bacterium B. thuringiensis (Bt). Bt infects invertebrate hosts in a highly specialized process. The bacterium's infectious stages are spores associated with crystal toxins (Cry and Cyt toxins). After oral uptake of the spore-toxin mixture by a suitable host organism such as insects or nematodes, toxin solubilisation occurs inside the gut. The solubilised toxins specifically bind to glycolipids of intestinal cells –, followed by formation of membrane pores and subsequent cellular disintegration . Cell destruction appears to lead to a change in milieu (e.g., change of gut pH in insects) that triggers germination of spores and vegetative proliferation of bacteria , . Most Bt strains express several different toxin genes , . Overall, Bt produces an enormously diverse array of toxins and hence the taxon includes strains with high specificity towards different hosts including free-living nematodes such as C. elegans –. The nematode-specific Bt strains can establish persistent infections in C. elegans under laboratory conditions, even if the environmental medium does not support bacterial growth –. Some Bt strains are able to produce highly specific interactions with different natural C. elegans isolates , , suggesting that the two coexist in nature.
Previous studies characterized in much detail the nematode's defence against one of the nematocidal Bt toxins, namely Cry5B. The toxin binds to glycolipids on membranes of the epithelial cells in the intestine. Thus, alteration of these glycolipids and competitive binding of galectins to these glycolipids mediates resistance –, , . Resistance is also influenced by plasma membrane repair, as mediated by RAB-5- and RAB-11-dependent vesicle trafficking pathways . Moreover, whole-genome microarray-based gene expression analyses and a recent RNAi knock-down screen revealed the involvement of a regulatory defence network based on two mitogen-activated protein kinase (MAPK) pathways, namely the p38 and JNK-like MAPK, and the activating protein 1 (AP-1) transcription factor , . Protection against Bt toxins is additionally influenced by the hypoxia response and the insulin-like signaling pathways , . The latter pathway also mediates both physiological defence and behavioural avoidance of a toxin-spore mixture of the pathogenic Bt strain B-18247 .
Here, we used microarrays to identify candidate immune effector genes in the C. elegans response against the nematocidal Bt strain B-18247, which is known to possess several different toxin genes –. Differential gene transcription was studied in three different natural C. elegans isolates (N2, MY15, and MY18), which show similar resistance to B-18247 (unpublished data), but have distinct genetic backgrounds , thus allowing identification of common principles in the genetic basis of resistance. As our transcriptional analysis identified a comparatively large number of protist-type lysozymes to be differentially regulated, we specifically tested the role of three lysozyme genes (lys-2, lys-5, lys-7) using knock-out mutants and gene overexpression in transgenic strains. The results strongly suggest a function of these lysozyme genes, especially of lys-5 and lys-7, in the nematode's defence against pathogenic Bt.
The transcriptional signature of Bt infected C. elegans reveals differentially regulated protist-type lysozymes
We explored the transcriptional response of three C. elegans strains (N2 and the two natural isolates MY15 and MY18) after 8 h exposure to the infectious spore-toxin mixture of the nematocidal Bt strain B-18247. The 8 h time point was specifically chosen, because it is sufficiently long after first pathogen exposure for an immune-relevant transcriptional response to develop , including the response against Bt toxin , and because it is well before the occurrence of Bt-induced host mortalities (>12 h after first exposure, unpublished data), which themselves associate with substantial transcriptional changes and thus could seriously complicate interpretation of inducible gene expression analysis .
Based on statistical analysis using F tests implemented in the R/MAANOVA package , , we obtained a list of significantly differentially transcribed genes. Although the three strains vary in their response, there is also substantial overlap in the differentially regulated individual genes (Table S1 and Table S2 in supporting information). Since transcription was studied in three genotypically different C. elegans strains, the overlapping gene set most likely represents the core set of genes that is inducible by the infectious Bt spore-toxin mixture. One of the prominent gene classes within this gene set are the protist-type lysozymes. Interestingly, some of them were consistently up- and others were consistently downregulated after exposure to the Bt spore-toxin mixture. In detail, significant upregulation was found for lys-1 and lys-2 in all three C. elegans strains and, additionally, for lys-3 in the two recent natural isolates MY15 and MY18 (Table S1, Table S2). Significant downregulation was inferred for lys-4 and lys-5 in all three strains, for lys-10 in strains MY15 and MY18, and for lys-7 in MY18 (Table S1, Table S2).
Differential gene expression of the protist-type lysozymes was subsequently reassessed using quantitative reverse transcription real-time PCR (qRT-PCR). The qRT-PCR fold induction values were calculated with the 2−ΔΔCT method  and clearly differed among genes (Figure 1). More importantly, they generally validated the microarray results (Table S1, Table S2, Figure 1). The exceptions included significant upregulation of lys-3 in N2, and significant downregulation of lys-7 in MY18 and N2, and lys-10 in N2, which we consistently inferred by qRT-PCR (Figure 1) but not by microarray analysis. Note that even though the microarrays contained oligos for almost all protein-coding genes of the C. elegans genome (20,334 genes), unfortunately the lys-6 gene was not included. Thus, for this gene we only have results from qRT-PCR analysis. Taken together, our results suggest that exposure to the Bt spore-toxin mixture leads to upregulation of three closely related lysozyme genes and, at the same time, downregulation of five other lysozymes, of which four belong to the same evolutionary lineage (Figure 1), possibly indicating functional divergence of the lysozymes across the genealogical tree.
The phylogeny shown in (A) is derived from previously published phylogenetic analysis . Expression profiles are given in (B) and were established from quantitative realtime PCR. The three C. elegans strains (MY15, MY18, N2) were confronted either with pathogenic or non-pathogenic Bt for 8 h. Lysozyme induction is given as the normalized expression difference between pathogen and non-pathogen treatment, such that positive values indicate upregulation and negative values downregulation after pathogen exposure. Relative expression levels were calculated from crossing points following the 2−ΔΔCT method (see methods section). Reddish/yellowish bar colours refer to the lysozymes from chromosome V (lys-1, lys-2, lys-3, and lys-7), bluish colours to those from chromosome IV (lys-4, lys-5, lys-6, and lys-10), and green to that from chromosome II (lys-8). An expression difference of 2 or −2 is indicated by dashed vertical lines. Stars highlight groups that are significantly different from 0 according to a t test and false-discovery-rate adjusted significance levels (all groups with the exception of the three lys-8 groups and lys-2 from MY15).
Protist-type lysozymes influence resistance against Bt
We tested the idea of functional diversification using phenotypic analysis of Bt infected C. elegans knock-out mutants and transgenic worms overexpressing lysozyme genes. In particular, the resistance function of three lysozyme genes was evaluated, belonging to the three distinct protist-type lysozyme clades (Figure 1) and including one of the upregulated genes (lys-2) and two of the downregulated genes (lys-5 and lys-7). Phenotypic effects on pathogen defence were determined by measuring survival rate, infection load, body size, feeding rate, and population size. In the presence of pathogenic Bt, all three knock-out mutants showed significantly decreased survival when compared to the wild-type N2 (Figure 2, Table S3 in supporting information). Moreover, the lys-5(tm2439) mutant also suffered from significantly higher infection load than N2 (Figure 3, Table S3), whereas the other two mutants did not vary significantly from the wild-type. On pathogenic Bt, none of the mutants differed significantly from the wild-type N2 regarding body size, feeding rate, and population size (Figure 3, Figure 4, Table S3). We did not observe any significant differences among strains on the non-pathogenic Bt control (Figure 2, Figure 3, Figure 4).
Survival rate was studied on (A) the nematocidal Bt strain B-18247 or (B) the non-nematocidal Bt strain DSM-350. It was checked daily for a period of 7 days. Every other day worms were transferred to fresh treatment plates. The C. elegans wildtype N2 was compared to the mutants with lysozyme knock-out alleles lys-2(tm2398), lys-5(tm2439), and lys-7(ok1384).
Infection load (A) and body size (B) were compared after 8 h exposure among the wildtype N2 and the mutants with lysozyme knock-out alleles lys-2(tm2398), lys-5(tm2439), and lys-7(ok1384). Nematodes were confronted with the pathogenic Bt strain B-18247 (panel A) or both the pathogenic strain and the non-pathogenic strain DSM-350 (panel B). The results for infection load are shown as box–plots, where the horizontal black line gives the median and the boxes the interquartile range (25% of the data above and below the median). Nomarski images show examples of body sizes for the different strains and treatments. Detailed statistics are given in Table S3.
Feeding rate (A) and population size (B) were studied for the wildtype N2 and the mutants with lysozyme knock-out alleles lys-2(tm2398), lys-5(tm2439), and lys-7(ok1384). Nematodes were confronted with either the pathogenic Bt strain B-18247 (results are found in the bottom part of each panel) or the non-pathogenic strain DSM-350 (top part of each panel). Feeding rate was determined by counting grinder movements within a 20 sec period after 8 h exposure. Population size assays were initiated with ten L4 larvae and the total number of worms were scored after five days. Results are shown as box–plots, where the horizontal black line gives the median and the boxes the interquartile range (25% of the data above and below the median). Population size is shown in logarithmic scale.
We additionally tested lysozyme function by overexpressing the three genes in the N2 wild-type background. When exposed to the pathogenic Bt strain B-18247, overexpression of lys-7 led to significantly higher survival rates than observed for the corresponding lys-7 knock-out mutant and also the N2 wild-type (Figure 5, Table S4 in supporting information). Overexpression of lys-5 resulted in significantly increased survival only relative to the corresponding lys-5 knock-out mutant but not N2, whereas lys-2 overexpression did not differ in survival to the corresponding knock-out or N2 (Figure 5, Table S4). There was no significant variation among strains exposed to the non-pathogenic Bt control (Figure 5).
Survival was evaluated in the presence of (A) the nematocidal Bt strain B-18247 or (B) the non-nematocidal Bt strain DSM-350. Survival was checked daily for a period of 7 days. Every other day worms were transferred to fresh treatment plates. The transgenic lines overexpressed either lys-2, lys-5, or lys-7 in the N2 genomic background. The knock-out mutants had the following alleles: lys-2(tm2398), lys-5(tm2439), lys-7(ok1384).
In the present study we employed whole genome microarrays to explore the involvement of candidate immune effectors in the nematode's inducible defence against a nematocidal strain of the Gram-positive bacterium Bacillus thuringiensis. During this analysis, we specifically controlled three critical but often neglected variables: (i) Rather than using the standard food source E. coli as a control, we exposed nematodes to the spore-toxin mixture of a Bt strain (DSM-350) that does not infect nematode host tissue or reduce C. elegans survival , . (ii) We always added E. coli as an ad libitum food source to both pathogen and control treatments. These first two points served to ensure that the observed inducible transcriptional response is specific to the nematocidal pathogenicity of the bacterium and is unlikely to be compromised by taxonomic differences between test and control bacterial species or the availability of food. (iii) We focused on differential transcription after 8 h exposure – before first pathogen-induced mortalities occur (usually not before 12 h after exposure', unpublished results), which could bias transcriptional inferences , and, at the same time, after inducible defence responses should have had the time to develop , including those against Bt toxin .
Our transcriptome analysis identified lysozyme genes to be among the differentially transcribed gene classes, suggesting a role in pathogen defence. For a more detailed analysis, we focused on the protist-type lysozymes. Interestingly, the groups of up- versus down-regulated genes fall into distinct evolutionary lineages (Figure 1), possibly suggesting an evolutionary differentiation of gene function upon gene duplication as previously proposed . In particular, we expected a role of the up-regulated lysozyme genes in immune defence against pathogenic Bt, whereas the downregulated lysozymes should not be required under these conditions but under non-pathogenic conditions may have a different function, for example as digestive enzymes . In our study, both treatments included a suitable food source (E. coli). If the presence of pathogens is speculated to inhibit expression of digestive enzymes, then their absence under control conditions and the simultaneous presence of food could have elicited a digestive response. Under these assumptions, the lysozyme genes of particular importance for digestion could appear as a downregulated gene set under pathogen conditions even if they are of no relevance to the nematode's response to pathogens.
The results from our functional genetic analysis disagree with our expectations. This analysis specifically focused on three genes (lys-2, lys-5, lys-7) as representatives of the up- as well as down-regulated gene classes and also of the three distinct evolutionary lineages of the protist-type lysozyme genealogy . Manipulation of these three genes consistently produced similar phenotypes: Knock-out mutations resulted in significantly reduced resistance measures during exposure to pathogenic Bt, whereas the overexpression of at least lys-5 and lys-7 consistently led to significantly higher survival rates on the pathogen (Figures 2, 3, 4, 5). At the same time, strains did not vary significantly on the non-pathogenic Bt control, indicating that the observed variation on the pathogen is unlikely due to a general deficiency of the mutants (Figures 2, 3, 4, 5). Moreover, the KO mutants also did not vary significantly in feeding behaviour on the pathogen (Figure 4), which argues against a role of the mutations in behavioural defence such as the pathogen-induced reduction in ingestion . Consequently, the observed variation on the pathogen strongly suggests a function of the tested lysozymes in physiological immunity. Our findings then also suggest that pathogen-dependent gene expression patterns are not necessarily indicative of a gene's role in defence, especially in case of gene downregulation after pathogen exposure. Defence genes may be present in the downregulated gene set if the pathogen directly interferes with its expression as part of its attempt to compromise host resistance and thus facilitate invasion. Such interference with the host's immune system is known for a large variety of pathogen taxa , including P. aeruginosa in a C. elegans host model . Another non-exclusive explanation may be that the downregulated lysozymes are part of the constitutively expressed (rather than inducible) immune system and that their transcription is decreased upon pathogen-mediated damage.
Based on our analysis, especially the functional genetic approach, we conclude that at least the lysozyme genes lys-5 and lys-7 contribute to physiological immunity against B. thuringiensis. For lys-2, a resistance function is indicated by the knock-out analysis, whereas its overexpression does not lead to a change in phenotype. The latter finding may suggest that endogenous expression levels for this gene (as shown by the wild-type N2) are sufficient for maximal resistance to Bt-induced killing. Taken together, our study adds to our understanding of the putative immune effector repertoire of C. elegans and the particular role of lysozymes in this context. Here, it is of interest that none of the previous genetic analyses obtained an indication for a defence function of lys-5 . A possible reason is that most studies based on a microarray-transcriptome approach for identification of candidate immunity genes focus on the upregulated gene sets. If lys-5 generally tends to be downregulated in response to pathogen exposure, as in our study, then its role in defence would not have been evaluated using functional genetic analysis. In fact, lys-5 transcription was previously found to be decreased in response to pathogenic P. aeruginosa, but in this case the gene was not included in the subsequent genetic analysis . For lys-2 and lys-7, a function in defence against B. thuringiensis was previously unknown. At the same time, these genes, especially lys-7, were implicated in resistance against other pathogens –, suggesting that either both of them or at least lys-7 play a more central role in C. elegans immunity.
We would like to emphasize that our study (and most previous studies) only indicates, but does not strictly prove a defence function of these enzymes. Unequivocal evidence would require analysis of the purified protein, especially its ability to interact with the pathogen at the molecular level. In fact, such unequivocal evidence is as yet only available for a single C. elegans immune effector, namely the saposin-like caenopore SPP-5. For this caenopore, it was possible to solve its tertiary structure and, most importantly, its ability to form pores into bacterial cell membranes , . Such biochemical studies remain a particular but necessary challenge for an exact understanding of C. elegans immune effectors.
Nematode and bacterial strains, general conditions of experiments
The C. elegans strain N2 and two natural isolates from Germany, MY15 and MY18 , were used to study transcriptional variation. The function of three lysozyme genes was investigated using knock-out (KO) mutants (lys-2(tm2398), lys-5(tm2439), and lys-7(ok1384)), produced by the Japanese National Bioresource Project for the experimental animal “nematode C. elegans”, coordinated by the Shohei Mitani laboratory (Tokyo Women's Medical College, Tokyo, Japan), and the American C. elegans gene knockout consortium (Oklahoma Medical Research Foundation). We confirmed that the mutants are homozygous for the respective deletions by gene-specific PCRs (see allele information at Wormbase, www.wormbase.org). Mutants were backcrossed five times to N2 and did not show any apparent phenotypic aberrations under standard laboratory conditions. Strains are available from the Caenorhabditis Genetics Center (www.cbs.umn.edu/CGC/).
Independent transgenic lines were constructed for lys-2, lys-5 and lys-7 in the N2 background: MY1021 (wt; yaEx16(lys-2::gfp; pmyo-2::rfp)), MY1022 (wt; yaEx17(lys-5::gfp; pmyo-2::rfp)), and MY1017 (wt; yaEx12(lys-7::gfp; pmyo-2::rfp)). The lines were generated following the PCR fusion approach , in each case including the lysozyme gene of interest and its 5′-upstream region (5′ upstream regions: 735 bp for lys-2, 1422 bp for lys-5, and 708 bp for lys-7), amplified with the following primers: Lys-2_for (5′-taaatatttccgatgtgattgtcg -3′), Lys-2_nest (5′-tgattgtcgataacctttttaacg-3′), Lys-2_gfprev (5′- agtcgacctgcaggcatgcaagctgtttccgacaaatcctccgacaacaa-3′), Lys-5_for (5′-aagtcacaacatgtggtagctgat-3′), Lys-5_nest (5′-ttcacagttatgaattctgcgttt-3′), Lys-5_gfprev (5′-agtcgacctgcaggcatgcaagcttggaatgtagttcatatcaac -3′), Lys-7_for (5′-gactttggtgcttaggaaagatg-3′), Lys-7_nest (5′-tagtattcagaacgtggcggttag-3′), Lys-7_gfprev (5′- agtcgacctgcaggcatgcaagctaattttcagacttccttgcacaaat -3′). Germline transformation followed the standard approach , using 5 ng/µl of the transgene and 30 ng/µl of the pmyo-2::rfp co-injection marker. The resulting transgenic lines did not show any phenotypic aberrations under standard laboratory conditions.
The pathogenic Bt strain NRRL B-18247 was obtained from the Agricultural Research Service Patent Culture Collection (United States Department of Agriculture, Peoria, IL, USA) and the non-pathogenic strain DSM-350 from the German Collection of Microorganisms and Cell Cultures (Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH, Braunschweig, Germany). A spore-toxin mixture was prepared for each strain as previously described , , aliquotted and stored at −20°C, at which they preserve their activity for approximately a year (unpublished data) . Aliquots were freshly thawed before usage in the different experiments.
Nematodes were maintained on nematode growth medium (NGM) plates inoculated with E. coli OP50 following standard protocols . The experiments were carried out at 20°C with hermaphroditic fourth instar larvae (L4) that were either exposed to the pathogenic or the non-pathogenic Bt strain. E. coli strain OP50 was always added ad libitum as an independent food source. Peptone free medium (PF) was used instead of NGM in order to prevent germination of the spores .
Pathogen exposure and RNA isolation
Cultures of the three nematode strains (MY15, MY18 and N2) were synchronised developmentally by sodium hypochlorite treatment . Ca. 20,000 L4 nematodes were transferred to PF plates (14.5 cm diameter), containing 2.86 ml of a 10∶1 mixture of E. coli OP50 and Bt in PBS buffer (either the pathogenic B-18247 or the control DSM-350 strain; final Bt concentration of 1.5×108 spores/ml). Each nematode strain was exposed for 8 h to either pathogenic or non-pathogenic Bt in either three (strain N2) or four independent replicates (strains MY15 and MY18). Thereafter, nematodes were washed off, pelleted by centrifugation, washed in 10 ml sterile Millipore H2O to remove external bacteria, pelleted, snap-frozen in liquid nitrogen, followed by addition of 1.5 ml Trizol (Invitrogen) on ice (4°C), RNA extraction according to manufacturer's instructions (Trizol, Invitrogen), and storage of RNA isolates at −20°C.
Gene expression patterns were compared between pathogenic and non-pathogenic treatments for the three C. elegans strains separately (MY15, MY18, N2) using whole genome microarrays containing oligonucleotide sequences of 20,334 genes, designed at the Genome Sequencing Center (St. Louis, USA) and spotted on UltraGAPS™ slides (Corning) at the Plateforme Transcriptome (Marseille-Nice génopole/CNRS/INRA; Sophia Antipolis, France). 10 µg total RNA was employed for cDNA synthesis with SuperScript II Reverse Transcriptase (SSII, Invitrogen) using oligo dT24-V primer (Sigma-Aldrich) and aminoallyl-dUTP (Sigma-Aldrich) nucleotide analogs. cDNA was purified with the Qiagen PCR purification kit and labelled either with Cy 3 or Cy 5 mono-reactive dye packs (Amersham). Two differentially labelled probes were hybridized to the microarray slides at 45°C for 16 h in hybridization buffer (1X SSC, 0.2% SDS, 7 mM Tris-Cl, 0.2 mg/mL yeast t-RNA (Invitrogen), 0.2 mg/mL poly(A)DNA (Sigma-Aldrich)) Fluorescent images were captured using ScanArray 4000XL (Perkin Elmer) and quantified with the software QuantArray version 2.1 (Perkin Elmer). Cy 3/Cy 5 dyes were swapped between Bt treatments across the independent replicates. The microarray data is described in accordance with MIAME guidelines and deposited at ArrayExpress (accession number E-MEXP-2168; http://www.ebi.ac.uk/microarray-as/ae/).
Microarray signal intensities were normalized in three steps. We first subtracted average background fluorescence for each spot. Thereafter, data were transformed with the programme R/MAANOVA , using first the rlowess and then the linlog transformation , . Differential gene expression was assessed with a mixed regression model, including pathogen as a fixed and array as a random factor using the restricted maximum likelihood (REML) approach , , . The pathogen effect was evaluated with an F3-test using a pooled estimator of the error-variance ,  and comparison of the tabulated p-values with the F distribution rather than a permutation analysis, which was unsuitable for our study because of low sample size (maximum of four replicates). To correct for multiple testing we adjusted the significance level with the help of the false discovery rate (FDR) .
Quantitative Realtime-PCR (RT-PCR)
Microarray-based transcription changes were specifically evaluated for nine protist-type lysozyme genes with quantitative reverse transcriptase Realtime PCR (RT-PCR). The expression patterns were compared between pathogenic and control treatments for each strain (MY15, MY18, N2) and, in each case, three independent replicates. The lysozymes were amplified with gene-specific primers (Table 1). Their expression was normalized by comparison with expression of the elongation factor 1α-homologue K07A12.4 (EF) reference gene.
For the strains MY15 and MY18, cDNA was synthesized at 42°C for 1 h using 5 µg total RNA, 1× first strand buffer, 10 mM DTT, 1 mM dNTP, 1 µM Capfinder primer CFB1-rG (5′- GAGAGAACGCGTGACGAGAGAGACTGACArGrGrG -3′), 1 µM dT-T7 Primer, 0.8 mM MnCl2, 1 U RNase inhibitor, 10 U Superscript III (Invitrogen), followed by reaction termination at 65°C for 10 min. RT-PCR was carried out with the Epicentre Biotechnologies TAQurate™ GREEN Real-Time PCR Mastermix kit and the LightCycler System, using for each RT-PCR run and primer pair two replicates of non-template controls and two replicates of template samples based on the following reaction conditions: initial denaturation for 135 sec at 95°C, followed by 35 cycles of 5 sec at 94°C, 15 sec at 60°C and 15 sec at 72°C (temperature transition rate of 20°C/sec). Amplification was followed by a melting-temperature identification cycle in order to assess PCR product purity (10 sec at 95°C, cooling to 60°C (temperature transition rate of 20°C/sec), followed by slow heating to 95°C (temperature transition rate of 0.1°C/sec)).
For N2, RT-PCR was performed by the Microarray Facility of Tuebingen University, Germany, using the LightCycler System 480 (Roche Diagnostics). cDNA was synthesized with the QuantiTect cDNA Synthesis Kit (Qiagen) using 0.5 µg RNA an incubation for 15 min at 42°C in 1× RT buffer, 1 µM per primer mix (oligo-dT plus random hexamer primer), and reverse transcriptase, followed by reaction termination at 95°C for 5 min. RT-PCR generally followed the above protocol using a 1∶10 cDNA dilution and analysis in 384-well plate format. For each primer pair, one replicate of a non-template control and three replicates of template samples were prepared, containing 5 µl 2× QuantiTect SYBR Green Mix, 300 µM forward and reverse primer, and either 2 µl cDNA (equivalent to 5 ng total RNA) or no cDNA (non-template control). The reaction consisted of initial denaturation for 15 min at 95°C, followed by 45 cycles of 45 sec at 95°C, 20 sec at 55°C, and 15 sec at 72°C. After amplification the melting curve was recorded as above.
Expression data was obtained as CT values, which corresponds to the cycle number of the amplification reaction, at which the fluorescence of the sample exceeds the background level for the first time, and which were measured within the linear amplification ranges. Linear regression was used for baseline correction of each sample as implemented in the program LinRegPCR (http://LinRegPCR.nl) , . Analysis of relative gene expression followed the comparative 2−ΔΔCT method . Transcription differences larger than 2 or smaller than −2 were then taken as an indication for significant differential gene expression. A significant difference from 0 was additionally evaluated with t tests and an adjustment of significance levels according to FDR. The statistical analyses were performed with the programme JMP 8.0 (SAS Inst. Inc.) and the graphical summary was produced with SigmaPlot 11.0 (Systat Software Inc.).
Functional analysis of selected lysozyme genes
We investigated the role of the protist-type lysozymes lys-2, lys-5,and lys-7 in defense against pathogenic Bt by gene knock-out and transgenic lines with gene overexpression, followed by phenotypic analysis. Resistance was evaluated as survival rate and infection load. We furthermore assessed nematode body size, feeding rate and population size, the latter being a compound fitness measure determined by reproductive rate and developmental time that indicates the pace at which worms could colonize a new habitat. Population size and body size assays were performed in 5 cm (diameter) “wormballs” containing PF medium , . The wormballs were inoculated with 700 µl bacterial suspensions (350 µl per half) containing E. coli OP50, and - in a 1∶10 dilution - either Bt18247 or DSM350 (final Bt concentration of 1.5×109 spores/ml). All other assays were performed in 3 cm petri dishes containing PF medium.
The survival rate of the KO mutants was examined using a total of 20 replicates per treatment combination (two runs with ten replicates). The survival assays for the transgenic worms were conducted on three different dates with five replicates per run yielding 15 replicates in total, with the exception of MY1022 and all strains on the non-pathogenic control, for which ten replicates were assayed. Ten L4 hermaphrodites per worm strain were transferred manually to each plate. Survival rate of the worms was checked daily for seven days by recording the number of alive worms, dead worms and lost worms (e.g., dead worms on the edge of the agar plate, lost worms on day of transfer or alive worms on day 7). Worms were transferred to fresh plates every other day.
Body size was measured after 8 h Bt exposure (either control or nematocidal strain) in two independent runs with five replicates per run and treatment combination. Infection load was determined for three to five surviving worms exposed to pathogenic Bt for 8 h using five replicates per strain. For body size and infection load measurements, worms were transferred into a drop of M9 buffer on a diagnostic microscope slide, frozen at −20°C, and then photographed with a LeicaDFC 320 camera (Leica Microsystems Imaging solutions Ltd, Cambridge, UK) attached to a Leica DM 5000 B microscope (Leica Microsystems, Wetzlar, Germany), using Normarski settings and 10× magnification for body size and 100× magnification for infection. Body size was measured as the two-dimensional area of an animal using the program ImageJ , followed by calculation of the average body size for each replicate. The infection level was inferred from surviving worms using a similar approach as previously described  based on seven infection categories: (i) no infection; (ii) no more than 20 spores in the gut; (iii) more than 20 and no more than 100 spores, accumulation in either the anterior or posterior part of the gut, no vegetative cells; (iv) as category iii, but accumulations in both anterior and posterior part of the gut; (v) more than 100 spores with massive accumulations in the anterior and/or posterior part of the gut, first intestinal cells destroyed, no vegetative cells; (vi) as category v, but with vegetative cells inside the gut; (vii) as category vi but spores and vegetative cells in high concentrations in all parts of the gut and body. For each replicate, we calculated an overall infection index as the average from at least three and maximal five surviving worms. For body size and infection load analysis, we excluded replicates with data from less than three surviving worms.
Feeding rate was assessed on minimum agar (3.4% w/v), inoculated with 40 µl of a mixture of E. coli (1.5×1010 cells/ml) and Bt (either the nematicidal or the nonpathogenic BT; concentration in both cases, 3.67×107 spores/ml). Ten L4 were transferred onto each plate. After 8 h, the feeding rate was determined for five individuals from within the bacterial lawn by counting pharynx grinder movements within a 30 s period . Data was considered from 5 independent experiments, yielding 25 worms per factor combination. Nematode population size was examined in parallel to the above assays using a total of ten replicates per treatment combination (two runs with five replicates each). Ten L4 worms per strain were transferred manually to each wormball. After five days the total number of worms per population was determined.
Statistical differences in body size, infection load, feeding rate, and population size were separately tested for significance using pair-wise comparisons of KO mutants with corresponding N2 controls within each treatment, using rank-based Wilcoxon tests. Differences in infection load were evaluated with a One-Way-ANOVA, followed by Tukey HSD post-hoc tests. Differences in survival rate were evaluated with the Kaplan-Meier approach followed by log-rank tests. KO-mutants were always compared to the wildtype N2. Transgenic worms were compared to N2 and also the corresponding KO mutant strain. Significance levels were adjusted using FDR . The statistical analysis was performed with the programme SPSS 16.0 (SPSS Inc.).
Lists of significantly differentially regulated genes upon exposure of three C. elegans strains to nematocidal B. thuringiensis B-18247.
Summary of the significantly differentially regulated genes upon pathogen exposure of C. elegans .
Phenotypes of lysozyme knock-out mutants. Control treatment was performed with the non-nematocidal Bt DSM-350, the pathogen treatment with the nematocidal Bt strain B-18247. Phenotypic measures are given as means and, in brackets, standard errors. Survival rate was followed daily over 7 days (mean given as number of days of survival), infection load was determined after 8 h, and body size (multiplied by 102 in mm2) was determined after 1 day, and population size after 5 days. After 8 h, the pumping rate was determined for five individuals by counting the pharynx grinder movements within a 30 s period. Infection load under control conditions was not determined (nd). Survival experiments were performed on two separate dates for a total of 20 replicates per treatment combination (10 replicates per date and treatment combination). For body size (10 replicates in total) and infection load (5 replicates in total), replicates were excluded if less than 3 worms were available for analysis. Survival rates were analysed using the Kaplan-Meier approach followed by a post-hoc log-rank test for comparisons between the KO mutants and N2. Differences in infection load were evaluated using One-Way-ANOVA followed by the post-hoc Tukey HSD test for pairwise comparisons between KO mutants and N2. Statistical analyses of differences in pumping rate, body size and population size were based on rank-based Wilcoxon test, p-values were adjusted using FDR to account for multiple testing. For all nematode strains, exposure to pathogenic Bt (factor Bt treatment) led to a significant decrease in survival rate, pumping rate, body size, and population size. Significant differences between N2 and the KO mutants under pathogenic conditions are shown in bold and indicated by *. The infection load of lys-7(ok1386) only showed a trend in being different to N2 (indicated by +).
Survival rate of lysozyme knock-out mutants and transgenic worms on pathogenic and non-pathogenic B. thuringiensis. The pathogen treatment was performed with Bt strain B-18247. Survival measures are given as means and, in brackets, standard errors. Survival rate was followed daily over 7 days. The survival experiment on the pathogen was repeated on 3 separate occasions for a total of 15 replicates per strain. Only 10 replicates were assayed on the pathogen for N2+lys-5 (i.e., overexpression of lys-5 in N2 background) and all strains on the non-pathogenic control. Under control conditions, individuals of almost all strains survived until the end of the assay period of seven days. Survival rates were analysed using the Kaplan-Meier approach followed by a post-hoc Log-rank test for comparisons between the KO mutants and the corresponding transgenic strain as well as for comparisons between the transgenic strains and N2. Significant differences between transgenic strains and the corresponding KO mutant are shown in bold and indicated by *. Significant differences between N2 and transgenic strains are indicated with +. Because of multiple testing we adjusted significance levels using FDR.
We thank the members of the Schulenburg, the May, the Ewbank, the Roeder, and the Michiels labs for support and advice, particularly Katja Dierking, Jonathan Ewbank, Nathalie Pujol, Barbara Hasert, Rebecca Schulte, Daniela Tonn, Martin Hasshoff, Nadine Timmermeyer, and Thomas D'Souza. We also thank two referees for valuable comments on the manuscript. We are very grateful to the Japanese National Bioresource Project for the experimental animal “nematode C. elegans”, coordinated by the Shohei Mitani laboratory (Tokyo Women's Medical College, Tokyo, Japan), and the American C. elegans gene knockout consortium (Oklahoma Medical Research Foundation) for generating KO mutants, and the Caenorhabditis Genetics Center for providing C. elegans strains.
Conceived and designed the experiments: CB RCM NKM TR HS. Performed the experiments: CB DW KI. Analyzed the data: CB MH HS. Wrote the paper: HS CB RCM.
- 1. Beintema JJ, Terwisscha van Scheltinga AC (1996) Plant lysozymes. In: Jollès P, editor. Lysozymes: Model enzymes in biochemistry and biology. Basel, Switzerland: Birkhäuser Verlag. pp. 75–86.
- 2. Fastrez J (1996) Phage lysozymes. In: Jollès P, editor. Lysozymes: Model enzymes in biochemistry and biology. Basel, Switzerland: Birkhäuser Verlag. pp. 35–64.
- 3. Höltje J-V (1996) Bacterial lysozymes. In: Jollès P, editor. Lysozymes: Model enzymes in biochemistry and biology. Basel, Switzerland: Birkhäuser Verlag. pp. 65–74.
- 4. Hultmark D (1996) Insect lysozymes. In: Jollès P, editor. Lysozymes: Model enzymes in biochemistry and biology. Basel, Switzerland: Birkhäuser Verlag. pp. 87–101.
- 5. Prager EM, Jollès P (1996) Animal lysozymes c and g: An overview. In: Jollès P, editor. Lysozymes: Model enzymes in biochemistry and biology. Basel, Switzerland: Birkhäuser Verlag. pp. 9–31.
- 6. Leippe M (1999) Antimicrobial and cytolytic polypeptides of amoeboid protozoa - effector molecules of primitive phagocytes. Dev Comp Immunol 23: 267–279.
- 7. Irwin DM (1996) Molecular evolution of ruminant lysozymes. In: Jollès P, editor. Lysozymes: Model enzymes in biochemistry and biology. Basel, Switzerland: Birkhäuser Verlag. pp. 347–361.
- 8. Regel R, Matioli SR, Terra WR (1998) Molecular adaptation of Drosophila melanogaster lysozymes to a digestive function. Insect Biochem Mol Biol 28: 309–319.
- 9. Irwin DM (2004) Evolution of cow nonstomach lysozyme genes. Genome 47: 1082–1090.
- 10. Schulenburg H, Boehnisch C (2008) Diversification and adaptive sequence evolution of Caenorhabditis lysozymes (Nematoda: Rhabditidae). BMC Evol Biol 8: 114.
- 11. Jacobs T, Leippe M (1995) Purification and molecular cloning of a major antibacterial protein of the protozoan parasite Entamoeba histolytica with lysozyme-like properties. Eur J Biochem 231: 831–838.
- 12. Jolles J, Jolles P (1975) The lysozyme from Asterias rubens. Eur J Biochem 54: 19–23.
- 13. Pujol N, Zugasti O, Wong D, Couillault C, Kurz CL, et al. (2008) Anti-fungal innate immunity in C. elegans is enhanced by evolutionary diversification of antimicrobial peptides. PLoS Pathog 4: e1000105.
- 14. Mallo GV, Kurz CL, Couillault C, Pujol N, Granjeaud S, et al. (2002) Inducible antibacterial defense system in C. elegans. Curr Biol 12: 1209–1214.
- 15. Jensen VL, Simonsen KT, Lee YH, Park D, Riddle DL (2010) RNAi screen of DAF-16/FOXO target genes in C. elegans links pathogenesis and dauer formation. PLoS ONE 5: e15902.
- 16. Nandakumar M, Tan MW (2008) Gamma-linolenic and stearidonic acids are required for basal immunity in Caenorhabditis elegans through their effects on p38 MAP kinase activity. PLoS Genet 4: e1000273.
- 17. O'Rourke D, Baban D, Demidova M, Mott R, Hodgkin J (2006) Genomic clusters, putative pathogen recognition molecules, and antimicrobial genes are induced by infection of C. elegans with M. nematophilum. Genome Res 16: 1005–1016.
- 18. Kawli T, Tan MW (2008) Neuroendocrine signals modulate the innate immunity of Caenorhabditis elegans through insulin signaling. Nat Immunol 9: 1415–1424.
- 19. Marsh EK, van den Berg MC, May RC (2011) A two-gene balance regulates Salmonella Typhimurium tolerance in the nematode Caenorhabditis elegans. PLoS ONE 6: e16839.
- 20. Simonsen KT, Moller-Jensen J, Kristensen AR, Andersen JS, Riddle DL, et al. (2011) Quantitative proteomics identifies ferritin in the innate immune response of C. elegans. Virulence 2: 120–130.
- 21. Schulenburg H, Hoeppner MP, Weiner J, Bornberg-Bauer E (2008) Specificity of the innate immune system and diversity of C-type lectin domain (CTLD) proteins in the nematode Caenorhabditis elegans. Immunobiol 213: 237–250.
- 22. Irazoqui JE, Ng A, Xavier RJ, Ausubel FM (2008) Role for beta-catenin and HOX transcription factors in Caenorhabditis elegans and mammalian host epithelial-pathogen interactions. Proc Natl Acad Sci U S A 105: 17469–17474.
- 23. Irazoqui JE, Troemel ER, Feinbaum RL, Luhachack LG, Cezairliyan BO, et al. (2010) Distinct pathogenesis and host responses during infection of C. elegans by P. aeruginosa and S. aureus. PLoS Pathog 6: e1000982.
- 24. Hahm JH, Kim S, Paik YK (2011) GPA-9 is a novel regulator of innate immunity against Escherichia coli foods in adult Caenorhabditis elegans. Aging Cell 10: 208–219.
- 25. Sun JY, Singh V, Kajino-Sakamoto R, Aballay A (2011) Neuronal GPCR controls innate immunity by regulating noncanonical unfolded protein response genes. Science 332: 729–732.
- 26. Griffitts JS, Huffman DL, Whitacre JL, Barrows BD, Marroquin LD, et al. (2003) Resistance to a bacterial toxin is mediated by removal of a conserved glycosylation pathway required for toxin-host interactions. J Biol Chem 278: 45594–45602.
- 27. Griffitts JS, Haslam SM, Yang T, Garczynski SF, Mulloy B, et al. (2005) Glycolipids as receptors for Bacillus thuringiensis crystal toxin. Science 307: 922–925.
- 28. Barrows BD, Griffitts JS, Aroian RV (2006) Caenorhabditis elegans carbohydrates in bacterial toxin resistance. Methods Enzymol 417: 340–358.
- 29. Barrows BD, Haslam SM, Bischof LJ, Morris HR, Dell A, et al. (2007) Resistance to Bacillus thuringiensis toxin in Caenorhabditis elegans from loss of fucose. J Biol Chem 282: 3302–3311.
- 30. Griffitts JS, Aroian RV (2005) Many roads to resistance: how invertebrates adapt to Bt toxins. Bioessays 27: 614–624.
- 31. de Maagd RA, Bravo A, Crickmore N (2001) How Bacillus thuringiensis has evolved specific toxins to colonize the insect world. Trends Ecol Evol 17: 193–199.
- 32. Schnepf E, Crickmore N, Van Rie J, Lereclus D, Baum J, et al. (1998) Bacillus thuringiensis and its pesticidal crystal proteins. Microbiol Mol Biol Rev 62: 775–806.
- 33. Borgonie G, Claeys M, Leyns F, Arnaut G, De Waele D, et al. (1996) Effect of nematicidal Bacillus thuringiensis strains on free-living nematodes. 1. Light microscopic observations, species and biological stage specificity and identification of resistant mutants of Caenorhabditis elegans. Fundam appl Nematol 19: 391–398.
- 34. Borgonie G, Claeys M, Leyns F, Arnaut G, De Waele D, et al. (1996) Effect of nematicidal Bacillus thuringiensis strains on free-living nematodes. 2. Ultrastructural analysis of the intoxication process in Caenorhabditis elegans. Fundam appl Nematol 19: 407–414.
- 35. Wei JZ, Hale K, Carta L, Platzer E, Wong C, et al. (2003) Bacillus thuringiensis crystal proteins that target nematodes. Proc Natl Acad Sci U S A 100: 2760–2765.
- 36. Schulenburg H, Müller S (2004) Natural variation in the response of Caenorhabditis elegans towards Bacillus thuringiensis. Parasitology 128: 433–443.
- 37. Schulte RD, Makus C, Hasert B, Michiels NK, Schulenburg H (2010) Multiple reciprocal adaptations and rapid genetic change upon experimental coevolution of an animal host and its microbial parasite. Proc Natl Acad Sci U S A 107: 7359–7364.
- 38. Schulte RD, Makus C, Hasert B, Michiels NK, Schulenburg H (2011) Host-parasite local adaptation after experimental coevolution of Caenorhabditis elegans and its microparasite Bacillus thuringiensis. Proc R Soc Lond B 278: 2832–2839.
- 39. Griffitts JS, Whitacre JL, Stevens DE, Aroian RV (2001) Bt toxin resistance from loss of a putative carbohydrate-modifying enzyme. Science 293: 860–864.
- 40. Ideo H, Fukushima K, Gengyo-Ando K, Mitani S, Dejima K, et al. (2009) A Caenorhabditis elegans glycolipid-binding galectin functions in host defense against bacterial infection. J Biol Chem 284: 26493–26501.
- 41. Los FC, Kao CY, Smitham J, McDonald KL, Ha C, et al. (2011) RAB-5- and RAB-11-dependent vesicle-trafficking pathways are required for plasma membrane repair after attack by bacterial pore-forming toxin. Cell Host Microbe 9: 147–157.
- 42. Huffman DL, Abrami L, Sasik R, Corbeil J, van der Goot FG, et al. (2004) Mitogen-activated protein kinase pathways defend against bacterial pore-forming toxins. Proc Natl Acad Sci U S A 101: 10995–11000.
- 43. Kao CY, Los FC, Huffman DL, Wachi S, Kloft N, et al. (2011) Global functional analyses of cellular responses to pore-forming toxins. PLoS Pathog 7: e1001314.
- 44. Bellier A, Chen CS, Kao CY, Cinar HN, Aroian RV (2009) Hypoxia and the hypoxic response pathway protect against pore-forming toxins in C. elegans. PLoS Pathog 5: e1000689.
- 45. Chen CS, Bellier A, Kao CY, Yang YL, Chen HD, et al. (2010) WWP-1 is a novel modulator of the DAF-2 insulin-like signaling network involved in pore-forming toxin cellular defenses in Caenorhabditis elegans. PLoS ONE 5: e9494.
- 46. Hasshoff M, Boehnisch C, Tonn D, Hasert B, Schulenburg H (2007) The role of Caenorhabditis elegans insulin-like signalling in the behavioural avoidance of pathogenic Bacillus thuringiensis. FASEB J 21: 1801–1812.
- 47. Payne JM (1992) Isolates of Bacillus thuringiensis that are active against nematodes. US patent 5151363.
- 48. Payne JM, Cannon RJC, Bagley AL (1993) Bacillus thuringiensis isolates for controlling acarides. US patent 5424410.
- 49. Schnepf HE, Schwab GE, Payne JM, Narva KE, Foncerrada L (2001) Nematicidal proteins. US patent 20010010932.
- 50. Haber M, Schüngel M, Putz A, Muller S, Hasert B, et al. (2005) Evolutionary history of Caenorhabditis elegans inferred from microsatellites: evidence for spatial and temporal genetic differentiation and the occurrence of outbreeding. Mol Biol Evol 22: 160–173.
- 51. Troemel ER, Chu SW, Reinke V, Lee SS, Ausubel FM, et al. (2006) p38 MAPK regulates expression of immune response genes and contributes to longevity in C. elegans. PLoS Genet 2: e183.
- 52. Wong D, Bazopoulou D, Pujol N, Tavernarakis N, Ewbank JJ (2007) Genome-wide investigation reveals pathogen-specific and shared signatures in the response of Caenorhabditis elegans to infection. Genome Biol 8: R194.
- 53. Cui X, Hwang JT, Qiu J, Blades NJ, Churchill GA (2005) Improved statistical tests for differential gene expression by shrinking variance components estimates. Biostatistics 6: 59–75.
- 54. Wu H, Yang H, Churchill GA (2008) R/MAANOVA: An extensive R environment for the analysis of microarray experiments. Available: http://churchill.jax.org/software/rmaanova.shtml. Accessed 2011 August 18.
- 55. Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 25: 402–408.
- 56. Schulenburg H, Ewbank JJ (2007) The genetics of pathogen avoidance in Caenorhabditis elegans. Mol Microbiol 66: 563–570.
- 57. Schmid-Hempel P (2008) Parasite immune evasion: a momentous molecular war. Trends Ecol Evol 23: 318–326.
- 58. Evans EA, Kawli T, Tan MW (2008) Pseudomonas aeruginosa suppresses host immunity by activating the DAF-2 insulin-like signaling pathway in Caenorhabditis elegans. PLoS Pathog 4: e1000175.
- 59. Mysliwy J, Dingley AJ, Stanisak M, Jung S, Lorenzen I, et al. (2010) Caenopore-5: the three-dimensional structure of an antimicrobial protein from Caenorhabditis elegans. Dev Comp Immunol 34: 323–330.
- 60. Roeder T, Stanisak M, Gelhaus C, Bruchhaus I, Grotzinger J, et al. (2010) Caenopores are antimicrobial peptides in the nematode Caenorhabditis elegans instrumental in nutrition and immunity. Dev Comp Immunol 34: 203–209.
- 61. Hobert O (2002) PCR fusion-based approach to create reporter gene constructs for expression analysis in transgenic C. elegans. Biotechniques 32: 728–730.
- 62. Mello C, Fire A (1995) DNA transformation. In: Epstein HF, Shakes DC, editors. Methods in Cell Biology Caenorhabditis elegans: Modern Biological Analysis of an Organism. San Diego: Academic Press. pp. 451–482.
- 63. Borgonie G, van Driessche R, Leyns F, Arnaut G, De Waele D, et al. (1995) Germination of Bacillus thuringiensis spores in bacteriophagous nematodes (Nematoda: Rhabditida). J Invert Path 65: 61–67.
- 64. Leyns F, Borgonie G, Arnaut G, De Waele D (1995) Nematicidal activity of Bacillus thuringiensis isolates. Fundam appl Nematol 18: 211–218.
- 65. Stiernagle T, The_C._elegans_Research_Community, editor (2006) Maintenance of C. elegans. WormBook. doi/10.1895/wormbook.1.101.1.
- 66. Cui X, Kerr MK, Churchill GA (2003) Transformations for cDNA microarray data. Stat Appl Genet Mol Biol 2: 4.
- 67. Cui X, Churchill GA (2003) Statistical tests for differential expression in cDNA microarray experiments. Genome Biology 4: 210.
- 68. Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B 57: 289–300.
- 69. Ramakers C, Ruijter JM, Deprez RH, Moorman AF (2003) Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data. Neurosci Lett 339: 62–66.
- 70. Ruijter JM, Ramakers C, Hoogaars WM, Karlen Y, Bakker O, et al. (2009) Amplification efficiency: linking baseline and bias in the analysis of quantitative PCR data. Nucleic Acids Res 37: e45.
- 71. Sicard M, Hering S, Schulte R, Gaudriault S, Schulenburg H (2007) The effect of Photorhabdus luminescens (Enterobacteriaceae) on the survival, development, reproduction and behaviour of Caenorhabditis elegans (Nematoda: Rhabditidae). Environm Microbiol 9: 12–25.
- 72. Rasband WS (2007) ImageJ. Bethesda, Maryland, USA: U. S. National Institutes of Health.