- Research article
- Open Access
Characterization of necrosis-inducing NLP proteins in Phytophthora capsici
© Feng et al.; licensee BioMed Central Ltd. 2014
- Received: 1 June 2013
- Accepted: 2 May 2014
- Published: 8 May 2014
Effector proteins function not only as toxins to induce plant cell death, but also enable pathogens to suppress or evade plant defense responses. NLP-like proteins are considered to be effector proteins, and they have been isolated from bacteria, fungi, and oomycete plant pathogens. There is increasing evidence that NLPs have the ability to induce cell death and ethylene accumulation in plants.
We evaluated the expression patterns of 11 targeted PcNLP genes by qRT-PCR at different time points after infection by P. capsici. Several PcNLP genes were strongly expressed at the early stages in the infection process, but the expression of other PcNLP genes gradually increased to a maximum at late stages of infection. The genes PcNLP2, PcNLP6 and PcNLP14 showed the highest expression levels during infection by P. capsici. The necrosis-inducing activity of all targeted PcNLP genes was evaluated using heterologous expression by PVX agroinfection of Capsicum annuum and Nicotiana benthamiana and by Western blot analysis. The members of the PcNLP family can induce chlorosis or necrosis during infection of pepper and tobacco leaves, but the chlorotic or necrotic response caused by PcNLP genes was stronger in pepper leaves than in tobacco leaves. Moreover, PcNLP2, PcNLP6, and PcNLP14 caused the largest chlorotic or necrotic areas in both host plants, indicating that these three genes contribute to strong virulence during infection by P. capsici. This was confirmed through functional evaluation of their silenced transformants. In addition, we further verified that four conserved residues are putatively active sites in PcNLP1 by site-directed mutagenesis.
Each targeted PcNLP gene affects cells or tissues differently depending upon the stage of infection. Most PcNLP genes could trigger necrotic or chlorotic responses when expressed in the host C. annuum and the non-host N. benthamiana. Individual PcNLP genes have different phytotoxic effects, and PcNLP2, PcNLP6, and PcNLP14 may play important roles in symptom development and may be crucial for virulence, necrosis-inducing activity, or cell death during infection by P. capsici.
- Phytophthora capsici
- Necrosis-inducing proteins (NLPs)
- PcNLP genes
- Chlorotic or necrotic response
- mRNA expression
- PcNLPs protein expression
Plant cells respond to attack signals from pathogens that activate their systemic defense systems . Pathogens secrete a diverse effector proteins into the apoplast and cytoplasm of host cells. Effector proteins not only function directly as toxins to induce plant cell death, but also suppress or evade plant defense responses, thereby favoring early pathogen colonization [2–7]. While some bacteria and fungi produce structurally diverse cytolytic toxins that kill plant cells directly , a much broader group of organisms, including prokaryotes [9–13], and eukaryotic oomycetes (Kingdom Stramenopila) [14–21] and fungi produce necrosis-inducing proteins (NLPs) that cause cell death while stimulating the plant’s immune reaction [22–27]. NLPs were first purified from culture filtrate of Fusarium oxysporum f. sp. erythroxyli and named ‘necrosis and ethylene-inducing proteins’ (NEP1) . Many other NLPs have been isolated from bacteria, fungi, and oomycete plant-pathogens and there is increasing evidence that the different NLPs have the ability to induce cell death and ethylene accumulation in plants [28, 29]. The NLP proteins usually possess an N-terminal secretion signal peptide and are apoplastic effectors that compose a superfamily of secreted phytotoxic proteins . Notably, NLPs are expressed inside cells, which may make them less active, but cell lysis and subsequent release of the proteins into the apoplast induces cell death for some of the constructs . In addition to plasma membrane targets, the association of NLP proteins with nuclei of sensitive plant cells has also been recorded . Most identified NLPs not only trigger cell death but also elicit strong immune responses in a large number of dicotyledonous plants and are frequently associated with plant perception of pathogen-associated molecular patterns (PAMPs) [15, 18, 25, 30].
The disruption of some NLP genes in some pathogens such as F. oxysporum f. sp. erythroxyli and Mycosphaerella graminicola does not reduce their virulence [31, 32]. Similarly, mutants of Bcnep1 or Bcnep2 in pathogenic strains of Botrytis cinerea result in virulence similar to that of the wild type strains . However, there is strong evidence that NLPs function as virulence factors that accelerate disease and pathogen growth in host plants. For example, the disruption of both EccNLP and EcaNLP isolated from Erwinia carotovora subsp. carotovora and subsp. atroseptica result in decreased virulence on potato [12, 13]. Likewise, the over-expression of Nep1 in a hypovirulent strain of the fungus Colletotrichum coccodes markedly increased its virulence toward Abutilon theophrasti and extended the host range of this pathogen . NLPPya was identified from Pythium aphanidermatum, a species that causes similar responses in host and nonhost dicotyledonous plants . All those reports indicate that NLPs from different pathogens play distinct roles and that the characteristics of NLPs during infection of plants by pathogens merit further exploration.
The genus Phytophthora comprises a group of filamentous fungus-like organisms that includes some of the most notorious plant pathogens . Pathogenesis by Phytophthora species requires their ability to induce cell death in their hosts [35, 36]. Until now, only a few Phytophthora NLP proteins have been studied in any detail. PsNLP1 codes for a necrosis inducing protein that is secreted by P. sojae during infection of Nicotiana benthamiana, but the varying patterns of expression of other members of the PsNLP family suggest that it has been a positive selection for diversification of function of genes within the family during infection of soybean . NPP1 from P. parasitica induces a rapid immune response and mitogen-activated protein kinase activation in its hosts [17, 25]. Notably, the NPP gene family of P. infestans was shown recently to encode a different type of phytotoxic protein that was not correlated with the sequence of NLPs . The genes PiNPP1.1, PiNPP1.2, and PiNPP1.3 (Pi = P. infestans) were shown to undergo a diversifying selection in late blight during infection of potato by P. infestans. These PiNPP genes are similar to PiNPP1.1, but not PiNPP1.2 or PiNPP1.3 encoded the putative secreted proteins that triggered cell death in potato . One NLPp gene was identified from P. parasitica that induced similar responses in host and nonhost dicotyledonous plants . However, some NLP genes from P. infestans and P. megakarya were always strongly expressed during the early biotrophic infection phase [19, 35]. All these reports suggest that NLPs from Phytophthora species have different functions in the infection process, but there has been little done to functionally characterize these proteins. Moreover, expansion of NLP gene families in the genomes of P. capsici, P. infestans, P. ramorum, and P. sojae, which provided sufficient data for further functional evaluation of relaxed selection by a different process.
The structure of NLPs is remarkably conserved over extraordinary phylogenetic distance. The structure of NLPs of stramenopiles P. parasitica and P. aphanidermatum, and the bacterium Pectobacterium carotovorum have a high level of conservation of a central hepta-peptide motif “GHRHDWE”, and four amino acid residues within their crystallized structures (D93A, H101A, D104A, and E106A) correlate with the qualitative and quantitative biological activities of respective NLPs . The folding of NLPs is also similar to that of cytolytic toxins secreted from marine organisms. Despite the recognized influence of NLPs in the complex plant/pathogen interaction, questions persist concerning NLPs . Are NLPs from unrelated organisms functionally conserved as well? Do the necrotic-inducing activities of NLPs facilitate the pathogen’s ability to infect and induce symptoms? Are the toxic/necrotic and defense-stimulating activities of NLPs mechanistically linked?
P. capsici causes various disease symptoms in a number of important vegetable  and has been found around world [40–42]. P. capsici was originally considered to be specific to pepper, but is now known to cause blight disease on many other plants [43, 44]. P. capsici also secretes a class of effectors, termed RXLRs, that enable parasitic infection and reproduction during infection of different plants [2, 3, 45, 46]. Secretion and translocation of the effectors require the presence of a signal peptide, followed by a conserved N-terminal RXLR motif [45, 47, 48]. More than 400 putative candidate RXLR effectors in the P. capsici genome have been identified by genome-wide searches for RXLR coding genes . However, the roles of the RXLR effectors in P. capsici-host interactions are unknown. The potential studies will reveal the exact roles of RXLR effectors during P. capsici–host interactions. Another class of cytoplasmic effectors has been identified in the secreted proteins of P. infestans; these cause ‘crinkling and necrosis’ phenotypes, named ‘CRN’ , in leaves. CRN proteins share a highly conserved LQLFLAK motif required for translocation and a conserved N-terminal region, and in some cases they have a predictable signal peptide. Approximately 80 full-length CRN coding genes and more than 200 pseudogenes have been identified in the P. capsici genome by computational surveys . Feng et al.  identified additional secreted proteins of 18 PcNLPs in P. capsici as possible virulence factors. Considering the activity of PcNLPs in the induction of cell death, these PcNLPs were proposed to contribute to the transition from biotrophy to necrotrophy , in which 11 PcNLP genes were shown to be highly expressed during infection by P. capsici. However, their functional roles in virulence remain to be determined. Thus, further functional investigation of the PcNLPs should illuminate their roles in the virulence of P. capsici. Notably, INF1 elicitin induced necrosis activity is required for full virulence of P. infestans, P. sojae, and P. cryptogea[18, 38, 52–56]. Additionally, several bacterial and fungal pathogens produce elicitins that induce avirulence toward a resistant host species [9–11, 14, 16, 23, 53]. At the same time, the function of INF1 elicitin has been confirmed to act as an avirulence factor in P. parasitica-tobacco interactions [53–55] and has also been proposed to be a component of nonhost resistance of Nicotiana species to P. infestans and other elicitin-producing Phytophthora species [53–55]. Overall, INF1 could be regarded as a reference function gene when analyzing the function of NLPs from Phytophthora species that secrete a different type of phototoxic protein.
In the current publication we provide an analysis of the function of the 11 highly expressed PcNLP genes that have been previously identified in P. capsici in our laboratory . Our objectives were to define variation in their function, to use leaf infiltration assays to determine whether any of them play important roles in necrosis or cell death-inducing activity, and to determine whether any of them have phytotoxic activity in host and non host species.
Expression patterns of PcNLP genes during P. capsiciinfection
The data of 15 PcNLP genes and PcINF 1 from P. capsici SD33
Extracellular protein/Signal peptide length
Protein molecular weight (kDa)
Multicopy of each gene in JGI of P. capsicigenome
70849, 23286, 7756, 82067
23292, 7613, 37194,70852, 23292, 7613, 122619, 37194
71103, 23660, 7723, 82430, 116399
65858, 41937, 41936, 41935, 41934
70850, 23459, 1237
70621, 81778, 55432, 55431, 55430, 55429, 55428, 55427, 55426, 55425, 55424, 55423, 55422, 23123, 22825, 9413, 9410, 122465, 116044
On the basis of sequence homology analysis, these 11 PcNLPs shared a conserved GHRHDWE motif and a relatively conserved hexapeptide QDLIMW at the C-terminal end. These characteristics identify any new peptide sequence as an NLP. Each PcNLP gene has four potentially coding residues that most likely correspond to the residues existing in the crystal structure of an NLP of Pythium aphanidermatum. These residues were numbered as D112, H120, D123, and E125 in the PcNLP1 structure (Additional file 1: Figure S1).
Functional analysis of PcNLPgenes by PVX vector agroinfection assay in pepper and tobacco plants
The diameter of necrotic spots in both plants was significantly larger when PcINF1 was injected than those of each targeted PcNLP gene. The results were consistent with previous results [18, 53]. Notably, the degree of symptom development in pepper leaves in response to each PcNLP gene was noticeable elevated compared with the response in tobacco leaves. At the same time, the necrotic response in pepper leaves caused by PcINF1 was stronger than that in the tobacco leaves (Figures 2A and 3A). The empty-vector pGR106 and distilled water control did not induce any chlorosis or necrosis in either plant. This experiment demonstrated that the induction of most targeted PcNLP genes could trigger chlorosis or necrosis in leaves of pepper or tobacco independently of the PcINF1 gene.
In our experiments, each targeted PcNLP with an HA tag was associated with a distinct chlorotic or necrotic response in C. annuum and N. benthamiana (Figures 2A and 3A). In order to further determine the necrosis-inducing activity of the PcNLP genes, Western blot was used to determine whether the ability to induce chlorosis or necrosis was associated with the expression of the PcNLP proteins. The total proteins of agroinfiltrated leaves expressing PcNLP or PcINF1 with an HA-tag were extracted for western blot experiments. Western blots revealed that all of the PcNLP proteins and PcINF1 are detectable in the lesions of C. annuum and N. benthamiana (Figures 2B and 3B), but none of the PcNLP genes were detectable in the wild-type leaves (data not shown). Surprisingly, only three (PcNLP2, PcNLP6, PcNLP14) caused the largest necrotic areas in both hosts (C. annuum and N. benthamiana) at 7 dpi (Figures 2A and 3A), suggesting that these three genes could contribute strongly to virulence during infection by P. capsici. In the leaves of C. annuum, the expression of three genes (PcNLP1, PcNLP3, PcNLP9) induced distinct chlorosis at 3 dpi (data not shown), and all the chlorotic areas gradually turned brown and became moderately necrotic at 7 dpi (Figure 2A). The expression of two other genes (PcNLP13, PcNLP15) caused only small yellow areas at 3 dpi; these areas expanded somewhat and became necrotic at 7 dpi (Figure 2A). There was no visible reaction of C. annuum to PcNLP7, PcNLP8, and PcNLP10 for several days, but by 7 dpi small necrotic lesions were visible (Figure 2A). In N. benthamiana, the expression of PcNLP2, PcNLP6, and PcNLP14 caused strong necrosis at 7 dpi, similar to what was seen in C. annuum at 7 dpi (Figure 3A), and the expression of PcNLP9 caused only small necrotic areas at 7 dpi (Figure 3A). Seven genes (PcNLP1, PcNLP3, PcNLP7, PcNLP8, PcNLP10, PcNLP13, PcNLP15) only resulted in chlorotic areas, without necrosis at 7 dpi (Figure 3A). The smallest chlorotic areas were induced by PcNLP3 at 7 dpi, and the chlorotic areas caused by PcNLP1, PcNLP7, PcNLP10, and PcNLP15 were larger than those caused by PcNLP8 and PcNLP13 (Figure 3A). Therefore, the members of the PcNLP family are similar to PcINF1 in their ability to induce chlorosis or necrosis during infection of pepper and tobacco, but the necrotic or chlorotic response caused by the targeted PcNLP genes and PcINF1 was stronger in pepper leaves (the usual host) than in tobacco leaves (an unusual host) (Figures 2A and 3A). In Figures 2B and 3B, all 11 PcNLP genes showed different toxicity on leaves of C. annuum and N. benthamiana within 7 days of agroinfiltration. In summary, PcNLP2, PcNLP6, and PcNLP14 always induced the strongest toxicity on the leaves of both hosts by 7 dpi, but eight other genes induced low toxicity on the leaves of both hosts by 7 dpi (Figures 2A and 3A). However, PcNLP1 and PcNLP9 induced higher toxicity on leaves of C. annuum than that of the six other genes (PcNLP3, PcNLP7, PcNLP8, PcNLP10, PcNLP13, PcNLP15) by 7 dpi (Figure 2B). In contrast, these six other genes induced low toxicity on leaves of C. annuum, especially, PcNLP7, PcNLP8, and PcNLP10 which induced the lowest toxicity by 7 dpi.
These results demonstrated that most of the members of the PcNLP family can express in host C. annuum and non-host N. benthamiana plants by triggering chlorotic or necrotic responses. They further suggest that individual PcNLP genes have different phytotoxic effects during infection by P. capsici, but that PcNLP2, PcNLP6 and PcNLP14 may play important roles in symptom development and may be crucial for virulence and necrosis-inducing activity or cell death. Moreover, the PcNLPs can trigger a disease response in tobacco but the effect in this non-host was muted when compared to the response in the usual host.
Site-directed mutation of PcNLP1
Generation of stable transformation lines, qRT-PCR analysis and impaired virulence
Taken together, the above data reveal that the degree of virulence of different silenced lines is correlated with the repression of the PcNLP genes and the consequent suppression of their expression levels. The repression and expression of the targeted PcNLP genes in silenced lines was variable and showed that ectopic expression of some targeted genes with the heterologous promoter caused mRNA expression levels to be several-fold lower in silenced lines than those in the controls. These results suggested that the variability in expression of PcNLP genes in the different silenced lines probably results from an eligible or ineligible position effect of the introduced DNA within the P. capsici genome. In the present study, the expression of PcNLP2, PcNLP6, and PcNLP14 was strongly repressed in more silenced lines than those of any other genes. PcNLP6 was significant silenced in five lines A6, A13, O18, M1, S5, similar to the expression of PcNLP2 and PcNLP14, which was strongly silenced in four lines. Therefore, these three genes were effectively silenced compared to other members in the PcNLP family. In the lines A6 and S5, moreover, PcNLP2, PcNLP6, and PcNLP14 were highly repressed, which was parallel to the significant reduction in necrotic response after infection of leaves of pepper and tobacco. In the lines O18 and M1, however, the suppressed genes included PcNLP6 and PcNLP14, but the expression of PcNLP2 is similar to SD33 and CK. As a result, both O18 and M1 showed slightly increased virulence when compared to A6 and S5. Therefore, the simultaneous presence of PcNLP2, PcNLP6, and PcNLP14 may be required for a complete necrotic response during P. capsici infection, suggesting that these three PcNLP genes might be more closely linked to the necrotic response than other members in the PcNLP family and might be crucial for virulence and necrosis-inducing activity during P. capsici infection.
Since an NLP was identified in the vascular wilt fungus Fusarium oxysporum, NLPs have been predicted to occur in a great variety of microbes including bacteria, fungi and stramenopiles [28, 59]. NLPs are common and numerous in several stramenopile genomes . We identified 18 NLP paralogs (PcNLP1 to PcNLP18) from P. capsici SD33 . The conserved motif GHRHDWE is always located in the central region of those PcNLPs, and two cysteine residues in the N-terminal position of the PcNLP are essential for biological activity. In these respects, PcNLPs are similar to those in P. megakarya, P. parasitica, P. sojae, and Hyaloperonospora arabidopsidis[17–21]. Thus, the NLPs family of effectors appear to be highly conserved across the genus Phytophthora indicates that it may play an important and conserved role in all species.
To analyze the function of the PcNLP members as toxins responsible for symptom development and cell death, we evaluated the function of 11 PcNLP genes on active transcripts in vitro and in vivo in leaves of pepper and tobacco. We further detected the function of PcNLPs protein in vitro based on the site directed mutagenesis of four amino acid residues in a conserved motif. The qRT-PCR analysis allowed for the detection and quantification of the transcriptional changes of the 11 PcNLP genes in a series of P. capsici-infected pepper leaves at distinct phases of the plant/pathogen interaction. Five (PcNLP1, PcNLP2, PcNLP6, PcNLP9, PcNLP10) achieved peak expression early, at three days following infection. This pattern is similar to the reported expression profiles reported of NLPs in Moniliophthora perniciosa and Phytophthora sojae, where peak expression was associated with the appearance of disease symptoms in the initial stage of the interaction [18, 32]. Six (PcNLP3, PcNLP7, PcNLP8, PcNLP13, PcNLP14, PcNLP15) gradually increased their expression levels, peaking at a late phase of the infection. The pattern of expression has not been observed previously. As shown in Figure 1, the various expression patterns of different PcNLP genes in pepper tissues enable us to speculate about their contributions to differences in pathogenicity or virulence during P. capsici infection. Symptomatic response to different PcNLP genes was related to variation transcription levels in vivo during infection by P. capsici. Four (PcNLP2, PcNLP6, PcNLP9, and PcNLP14) induced the most severe symptom development in pepper or tobacco leaves (Figures 2A and 3A) and showed high transcription levels during infection (Figure 1). In contrast, six (PcNLP3, PcNLP7, PcNLP8, PcNLP10, PcNLP13, PcNLP15) were transcribed at low levels (Figure 1), which were linked to weak symptom development in both tested plants. These combined patterns have been observed previously for other hosts and their parasites. For example, the peak expression of P. sojae NLPs was directly related to the occurrence of disease symptoms in infected plants as the pathogen transitioned from the biotrophic to the necrotrophic growth state , while MgNLP of the fungal pathogen Mycosphaerella graminicola appeared to be highly expressed specifically at the end of the symptomless phase of infection of wheat leaves . The strong expression in plants of some PcNLPs and their multi-copy status in the genome enabled us to answer a difficult question for this pathosystem where NLP genes exist in multiple copies, namely; are NLP genes major virulence factors for the pathogenic lifestyle of P. capsici?. In our analysis, PcNLP2, PcNLP6, and PcNLP14 were proposed to play a crucial role in promoting virulence and inducing necrosis or cell death. Other organisms have provided strong evidence for their function as virulence factors with the characterization of NLPs in Colletotrichum coccodes and Erwinia carotovora subsp. carotovora[12, 13]. On the other hand, the NLP genes in pathogens such as F. oxysporum f. sp. erythroxyli and Mycosphaerella graminicola do not appear to affect their virulence [31, 32], and the NLPs, Bcnep1 and Bcnep2 are apparently not related to virulence during Botrytis cinerea infection . Thus, the members of the NLP families from different pathogens encode functionally different phytotoxic proteins that appear to perform a variety of functions during infection and produce variable extended phenotypes. The reasons for this phenomenon are unclear; however, recent data suggest that the effector proteins of many pathogens including Phytophthora species are under positive selection and are often considered to operate at the forefront of evolution in host-microbe interactions [37, 60]. In addition, the failure to detect expression of 11 PcNLP genes at an early stage of infection is similar to the situation involving PsojNIP transcripts during the transition from biotrophy to necrotroph after infected by P. sojae. This suggests that, as in P. sojae, some PcNLPs initiate the process of infection, but some other PcNLPs play important roles after the initiation of infection. These results might be due to differences in regulation, but it is likely that these genes have distinct functions during infection by P. capsici unrelated to the initiation of infection.
As described above, the expression patterns of all 11 PcNLP genes are shown in Figure 7A. Similar to other Phytophthora species, there are multiple copies of NLPs in the genome of P. capsici and the PcNLPs most likely perform different roles during the infection process. Overall, we conclude that PcNLP genes not only participate in inducing cell death and symptom development but also perform different roles at different phases of infection. In addition, these 11 PcNLP genes are linked to symptom development in pepper and tobacco, but the intensity of the symptoms was much more conspicuous in pepper, the usual host of P. capsici, than those in tobacco (Figures 2A and 3A). Similar variation in host-dependent symptom development in relation to NLPs from P. sojae and the fungus Moniliophthora perniciosa has been observed [21, 26]. The availability of heterologously expressed PcNLPs allowed us to examine other characteristics of this protein. We were able to confirm that PcNLP genes encode chlorosis/necrosis-inducing proteins in leaves of pepper and tobacco, and that these proteins also stimulate the expression of the host’s defense-related genes in tissues of both plants. NLPs have been suggested to have dual functions in plant pathogen interactions: acting both as triggers of defense responses and as toxin-like virulence factors. Here, six PcNLP genes showed low transcription levels corresponding to weak symptom development, suggesting that these NLPs may stimulate immunity-associated defenses or act as triggers of immune responses in plants. These findings call for additional research.
We confirmed that four conserved amino acids (D112, H120, D123, and E125) in the putative active site and conserved motif have the ability to regulate the function of PcNLP1 (Figure 4A, B). This suggests that these four conserved amino acids provide similar function in paralogs. This is in agreement with previous studies in P. aphanidermatum.
In our study, it was difficult to identify isolates in which one targeted gene was silenced alone or all targeted genes were silenced simultaneously. This phenomenon was also observed in the silencing of six hydrophobins in Cladosporium fulvum. Most members in the PcNLP family were not completely silenced but instead were suppressed different degrees. This may be related to the low expression levels of genes in the PcNLP family, or may be related to the difficulty of complete silencing in diploid stramenopiles. Three PcNLP genes (PcNLP2, PcNLP6, PcNLP14) (Figure 1) showing high expression during P. capsici infection were more down-regulated than other tested genes showing lower expression levels, strongly supporting that highly expressed genes are easier to suppress . Several genes (PcNLP3, PcNLP7, PcNLP8, PcNLP9, PcNLP10, PcNLP13, PcNLP15) were linked to a weak necrotic response in plants, but their transformants showed various degrees of reduction. However, the expression levels of the three most similar paralogs (PcNLP1, PcNLP3, PcNLP10) were not significantly decreased in different transformants, but three other more divergent paralogs (PcNLP2, PcNLP6, PcNLP14) were always effectively silenced in several transformants. This corresponds to the results of Wroblewski et al. in which the members of the NBS–LRR gene family showed similar patterns of silencing. In our experiments we targeted relatively large segments of the PcNLP genes (399–1017 bp). This indicates that the size of the silenced plasmid (pHAM34) is not limiting and that it will be feasible to assay multi-interfering constructs. It may also be feasible to interfere with several related genes with conserved domains; permitting coordinated suppression of a gene family . In our study, necrotic lesions observed for several transformants were significantly smaller than those observed for the control strains. This suggests that individuals PcNLP may have an effect on its ability to establish infection on plant. Several studies have considered the function of NLP genes, and most conclude that several NLPs are indispensable for fungal infection [33, 65]. Our study concluded that PcNLP2, PcNLP6, and PcNLP14 contribute greatly to the induction of necrosis during infection by P. capsici, and suggested that the simultaneous presence of PcNLP2, PcNLP6, and PcNLP14 may be required for a complete necrotic response.
Our results suggest that some PcNLPs play important roles in necrosis-inducing or pathogenicity during P. capsici infection. However, many aspects of Phytophthora pathogenicity remain obscure, and investigating the action of specific genes in the infection process has always been an arduous undertaking. However, elucidating the important role of pathogenicity genes in P. capsici will help advance understanding of the biology and pathogenicity of Phytophthora and other stramenopiles on diverse host plant species.
We found that each targeted PcNLP gene affects cells or tissues differently depending upon the stage of infection. Most PcNLP genes could trigger necrotic or chlorotic responses when expressed in the host C. annuum and the non-host N. benthamiana. Moreover, our results showed that individual PcNLP genes have different phytotoxic effects, but PcNLP2, PcNLP6, and PcNLP14 may play important roles in symptom development and may be crucial for virulence, necrosis-inducing activity, or cell death during infection by P. capsici.
We found that each targeted PcNLP gene affects cells or tissues differently depending upon the stage of infection after inoculation with zoospore suspension of highly virulent P. capsici SD33 using qRT-PCR. Most PcNLP genes could trigger necrotic or chlorotic responses when expressed in the host C. annuum (inbred line 06221) and the non-host N. benthamiana after agroinfiltration the host cells of both plants with A. tumefaciens PVX vector carrying each of the PcNLP genes on evaluation of the necrotic response and the PcNLP proteins expression levels in the lesions of both plants. Otherwise, we obtained seven putative PcNLP silenced lines that was initially expected to contain a trigger gene, however, each of the silenced lines contained several silenced genes, and different silenced genes were assigned to the different silenced lines. On the evolution of the virulence of different silenced lines and the mRNA expression levels of different PcNLP genes, PcNLP2, PcNLP6 and PcNLP14 may be required for a complete necrotic response during P. capsici infection. Therefore, our results showed that individual PcNLP genes have different phytotoxic effects, but PcNLP2, PcNLP6, and PcNLP14 may play important roles in symptom development and may be crucial for virulence, necrosis-inducing activity, or cell death during infection by P. capsici.
Pathogen strain, plant cultivation and candidate gene selection
Highly virulent Phytophthora capsici strain SD33 has been tested in our laboratory and routinely cultured on 10% V8-juice agar medium at 25°C [51, 66, 67]. Production of sporangia and zoospores were performed as previously described .
A susceptible cultivar of pepper (Capsicum annuum inbred line 06221), and tobacco (Nicotiana benthamiana) were selected from different inbred lines based on evaluation of pathogenicity after inoculation with zoospores of highly virulent P. capsici SD33. This experiment was repeated over 3 years under controlled conditions and symptom development was documented. Seeds were germinated following surface-sterilization by immersion in sodium hypochlorite (0.5% vol/vol) for 30 min followed by thorough rinsing in sterile water. The seedlings were cultured in a tray containing heat-sterilized soil/sand (1:1) mixed at 25-28°C (16 h light period) in a growth chamber. The light intensity in the chamber was 300 and 450 mol m-2 s-1, which is the intensity that promotes greatest leaf expansion. Single seedlings at the three leaf stage were then transplanted into small plastic trays, and grown for 14 days under the same conditions .
The PcNLP genes were identified in the P. capsici reference genome by searching a six-frame translation of the genome in the DOE Joint Genome Institute database (JGI, http://img.jgi.doe.gov/cgi-bin/w/main.cgi) on the conserved GHRHDWE motif and then searching that subset for signal peptides with the tool SignalP4.0 (citation). Eighteen NLP-encoding genes (GenBank accession numbers HM543167 to HM543184) were identified from P. capsici SD33, RT-PCR detected expression for all but seven , of which 11 were selected for further functional analysis during P. capsici interactions with plants (Table 1).
To amplify the PcINF1 gene (GenBank accession number JX948084) from P. capsici SD33, pairs of primers (INF1F: 5′-ATGAACTTCCGTGCTCTGTTC-3′; INF1R: 5′-TTACAGCGACGCGCACGTGTT-3′) were designed using Primer Express 3.0 software based on sequences in the JGI database. Genomic DNA of SD33 was extracted from mycelium grown in 10% V8 liquid medium according to the protocol described by Tyler et al. . Minor adjustments were made to PCR amplification as previously reported . The PCR products were cloned in the T3-vector and confirmed by sequencing. Nucleotide and amino acid sequence homology searches were compared with the sequences in the NCBI-BLAST program according to previous reports . The available PcNLPs amino acid sequences were aligned using Clustal X 2.0 . Phylogenetic trees were generated by neighbor-joining, as implemented in PAUP*4.0 Beta (Sinauer Associates, Sunderland, MA, USA) with the default parameters. Nodal support of the trees was estimated by bootstrapping, with 1000 pseudoreplicate data sets.
RNA extraction and SYBR green real-time RT-PCR assay
To monitor PcNLP transcript profiling during P. capsici infection of pepper, leaf inoculation using zoospores of P. capsici SD33 was performed as previously described . Samples were collected at 1, 3, 5, and 7 days post infection (dpi) and put into liquid nitrogen immediately. Total RNA was extracted using the TRIZOL procedure (Invitrogen) from freeze-infected leaves, filtered mycelium grown in 10% V8-juice liquid medium at 25°C for three days, and from lesions infected by P. capsici. The RNA was quantified by measuring absorbance at 260/280 nm with a spectrophotometer and the quality was examined by electrophoresis on a 1.2% agarose gel containing formaldehyde. A total of 10 μg RNA was treated with 4 units of Rnase-free DNase (Takara) at 37°C for 30 min, and then used for reverse transcription with an Omniscript RT kit (Qiagen). The complete removal of all DNA was ratified using a PCR reaction run under the same conditions as those used for the RT-PCR, except for omission of the cDNA synthesis step.
For PcNLP transcript profiling analysis, SYBR green real-time PCR analyses were performed. Primers (Additional file 4: Table S1) were designed to anneal specifically to each targeted gene and three housekeeping genes β-Actin, β-Tublin and Ubc (ubiquitin C) of P. capsici and β-Actin of pepper  by using Primer 3.0 software for SYBR green real-time PCR (qRT-PCR). The β-Actin, β-Tublin, and Ubc genes were used as constitutively expressed endogenous controls and were used jointly as a reference to relate to the microarray data of the qRT-PCR detection. The expression of PcNLP genes in different lines was determined relative to the three reference genes followed by the ICycler IQ RT-PCR detection system (Bio-Rad, Denmark) and SYBR primer Script RT-PCR kit (TaKaRa, Japan). The 25 μl PCR reaction included 2.5 μl of cDNA template, 0.8 μM gene-specific primer for each PcNLP gene or housekeeping gene, 12.5 μL of 2 × SYBR Green PCR master mix, and 8.5 μL of distilled H2O. The reactions were performed on the ICycler IQ RT-PCR detection system (Bio-Rad, Denmark) under the following conditions: 95°C for 15 min; 40 cycles at 95°C for 10 s, 60°C for 15 s and 72°C for 30 s to calculate cycle threshold values; followed by a dissociation program of 79 cycles at 55°C to 95°C to obtain melt curves. The expression of each gene at 1 dpi was assigned the value of 1.0 to allow comparison between lines. The values of threshold cycles (CT) were ascertained automatically by instrument, and the fold changes of individual gene were calculated using the equation 2- ΔΔCT according to revious descriptions . The investigation was conducted twice, each with three independent biological replicates.
Construction of recombinant A. tumefaciensbinary PVX vectors
Candidate PcNLP genes were PCR amplified from genomic DNA of P. capsici SD33 using high-fidelity DNA polymerase (TakaRa Inc.) The primers (Additional file 5: Table S2) complementary to the 5′and 3′ends of each respective open reading frame were designed to include restriction site overhangs for cloning into PVX vector pGR106 . Upstream primers contained sequences corresponding to the native signal peptide for extracellular targeting with the exception of PcNLP13, PcNLP14, and PcNLP15 for which their sequences do not encode the signal peptide. The PCR products were digested with appropriate restriction enzymes, size-fractionated and purified from 1.0% agarose gels prior to ligation into pGR106. Recombinant plasmids were maintained and propagated in Escherichia coli DH-5α with 50 μg/ml kanamycin and 12.5 mg/ml-1 tetracycline, grown in LB broth cultures for 48 h at 28°C. The cultures were centrifuged 10,000 g for 1 min. Each clone was verified by PCR using vector primers (forward: 5′-CAATCACAGTGTTGGCTTGC-3′, reverse: 5′-GACCCTATGGGCTGTGTTG-3′) and was then further checked by DNA sequencing. Plasmids were extracted from E. coli DH-5α and then were introduced into Agrobacterium tumefaciens GV3101 by electroporation. The transformants were selected on LB broth agar supplemented with 12.5 ppm tetracycline and 25 ppm kanamycin at 28°C. Plasmids obtained from the transformants and were tested by PCR for the presence of PcNLP gene insert. Individual colonies were toothpick-inoculated onto the lower leaves of C. annuum or N. benthamiana plants. Three days before infiltration, A. tumefaciens cells carrying PcNLP gene were inoculated into LB broth supplemented with tetracycline and kanamycin at 28°C for 48 h. The resultant cultures were prepared as method . Infiltration involved use of a needleless 1-ml syringe placed against the lower side of the leaf. Each of the colony infiltration tests consisted of at least seven plants inoculated on three leaves. Colonies harboring PcINF1  were infiltrated into symmetric sites on the same leaf and were used as positive control. The empty-vector and distilled water were used as negative controls. Routinely, infiltrations were performed on 5-week-old pepper leaves. Symptom development was monitored visually for 10 d after infiltration. Symptoms were scored and photographed at 7 d. All tests were carried out in three replicates.
Protein extraction and western blot
The development of lesions in C. annuum and N. benthamiana was recorded visually 5 d after agro-infiltration by Agrobacterium cultures that carried the different PcNLP genes or PcINF1 with HA-tag, respectively. Western blots were done with tissue from 7 dpi lesions. The total proteins of lesion tissue of C. annuum or N. benthamiana were extracted by grinding 350 mg of 14 leaf lesions leaf or 14 wild leaves in 1 mL extraction buffer (50 mM Tris, pH 7.4, 150 mM NaCl and 1% Triton X-100) in the presence of 5 μL protease inhibitor cocktail (Sigma, P9599). Protein concentrations were determined by the Bradford method  using bovine serum albumin as a standard. Approximately 50 μg of total proteins was loaded on 12% SDS–PAGE gel using equivalent amounts of protein. After electrophoresis, proteins were transferred onto a polyvinylidene difluoride (PVDF) membrane (Millipore). Western blotting was carried out as previously described . Mouse anti-HA monoclonal antibody (Sigma-Aldrich) and Goat anti-mouse IgG-peroxidase conjugate (Sigma-Aldrich) were used as the primary and secondary antibodies. The membrane was treated with Chemiluminescent Peroxidase Substrate-1 (Thermo Scientific Pierce, No. 34080, USA) for 2 min. The membrane was briefly drained and exposed to BioMax (Kodak, USA) light film several times (depending on results) for exposure signal development. The immunoblots were quantified using Quantity one software (Bio-Rad) and the chemoluminescence signal was imaged using a ChemiDoc XRS (Bio-Rad). Culture conditions for strain SD33 and the total proteins extractions were performed as reported previously . The total proteins of lesions tissues of C. annuum and N. benthamiana agro-infiltrated expressing of PcINF1 with HA-tag and each PcNLP gene secreted from SD33 was used as a positive controls. Crude proteins from wild pepper or tobacco leaves were used as negative controls. Each experiment was repeated at least three times.
Site-directed mutagenesis of PcNLP1
Based on the alignment of all PcNLP genes with reported NLP genes, PcNLP1, PcNLP2, PcNLP3, PcNLP6, PcNLP7, PcNLP8, PcNLP9, PcNLP10, PcNLP13, PcNLP14, and PcNLP15 showed high homogeneity to NLPpya from Pythium aphanidermatum, and were presumed to have the putative active sites D112, H120, D123, and E125 (numbered according to each of these 11 PcNLP genes) . These four conserved amino acids in PcNLP1 were individually exchanged for alanine using overlap PCR. The primers are listed in Additional file 6: Table S3. Also simultaneous substitution of all four amino acids by alanine was carried out to further investigate the characters of PcNLP proteins as described above . All the mutants were verified by DNA sequence analysis. The mutants were analyzed for their ability to induce symptoms by agroinfiltration with PVX vector as described above. Each leaf was co-inoculated with PcINF1 at symmetric sites on the leaf. Both PcNLP1 and PcINF1 were used as positive controls. The empty vector pGR106 and distilled water were used as negative controls. The infiltrations were performed on 5-week-old pepper leaves or 4-week-old tobacco leaves. Symptom development was monitored visually 3 to 7 d after infiltration. Photographs were taken at 10 d. Each assay consisted of at least three plants inoculated on three leaves at least two different dates. The experiments were conducted with three replicates.
Construction of recombinant plasmids for stable transformations of P. capsici
Strains of pHAM34 and pHspNpt were kindly provided by professor Wang Yuan Chao. Fragments for generating candidate constructs were amplified from cDNA and were digested with the restriction enzyme SmaI for cloning into the vector pHAM34. The resultant plasmids were verified by DNA sequence analysis. Primers used are in Additional file 7: Table S4. Both sense and antisense plasmids were used for transformation. Sub-cloning of PcNLP genes for orientation of PcNLP genes for transcription of the negative (anti-sense) strand was used for gene silencing. Stable transformation was fulfilled using the method of McLeod et al.  with the following modification: 2-d-old P. capsici mycelium, cultured in pea broth, was rinsed and washed in 0.8 M mannitol and then placed in enzyme solution (0.4 M mannitol, 20 mM KCl, 20 mM MES, pH 5.7, 10 mM CaCl2, 7.5 mg/mL lysing enzyme (Sigma-Aldrich L1412), and 3 mg/mL cellulase (Sigma-Aldrich C8546) and incubated for 40 min at 25°C with 10,000 g shaking. The protoplasts were harvested using centrifugation at 10,000 g for 3 min and resuspended in W5 solution (5 mM KCl, 125 mM CaCl2, 154 mM NaCl, and 31 mg/mL glucose) at a concentration of 1 × 106 protoplasts/mL. After 30 min, the protoplasts were centrifuged at 15000 g for 4 min and resuspended in an equal volume of solution (0.4 M mannitol, 15 mM MgCl2, and 4 mM MES, pH 5.7) to allow the protoplasts to swell. For co-transformation, 75 μg target plasmids and 25 μg helper plasmid pHspNpt DNA were mixed with 1 mL protoplasts of P. capsici. For preparation of CK transformations, 25 μg of pHspNpt DNA was mixed with 1 mL protoplasts. The mixture was kept on ice for 5–10 min, and then 1.74 mL of 40% polyethylene glycol 4000 in 0.5 M CaCl2 and 0.8 M mannitol were added slowly. Subsequently, the suspension was gently mixed and placed on ice for 20 min, followed by addition of 10 mL pea broth containing 0.8 M mannitol. This mixture was then poured into a Petri dish that contained 10 mL pea broth with 50 μg/mL ampicillin and 0.8 M mannitol. After incubation for 14 h at 25°C, the mixture containing regenerated protoplasts was gently centrifuged at 12000 g for 5 min. The supernatant was removed, and the regenerated protoplast pellets were mixed with 10 mL pea broth agar (2%) containing 0.8 M mannitol and 30 μg/mL G418 (Sigma). Transformants appeared in the solid medium within 4 to 10 days at 25°C in dark conditions and were propagated in pea broth medium containing 30 μg/mL G418 (Sigma).
Transcriptional analysis of target genes in silenced lines
To detect mRNA expression of 11 PcNLP targeted genes in the silenced lines, gene-specific primers of each PcNLP gene were designed; these are listed in Additional file 4: Table S1. The β-Actin, β-Tubulin, and Ubc (ubiquitin-conjugating enzyme) of P. capsici were used as constitutively expressed endogenous controls and were used jointly as a reference to relate to the microarray data of the qRT-PCR detection. Each transformed line was first grown in 10% V8-juice liquid medium for three days at 25°C, and then total RNA was extracted from freeze-dried filtered mycelium based on the TRIZOL procedure (Invitrogen). Total RNA extractions of the different silenced lines and qRT-PCR were done as described above. WT is wild strain SD33; CK transformation is a strain expressing only the selected gene. SYBR green qRT-PCR assays were performed to determine individual PcNLP gene expression at the transcriptional levels. The expression levels of individual genes in SD33 or CK were assigned the value of 1.0 to allow comparison between lines. The threshold cycle (CT) values were determined automatically by instrument, and the fold changes of each gene were calculated by the equation 2-△△CT according to a previous description . Results were obtained from three repeated trials.
Analysis of colony growth and sporangial morphology of silence transformants
For growth assays, the P. capsici strain SD33 (WT), CK (only the selected gene expression), and the silenced transformations were subcultured twice on 10% V8-juice agar medium. The colony radius of different strains was measured at 1, 3, 5, 7, 9 days of incubation.
To analyze sporangium production and zoospore release, strains of silenced transformations, SD33 and CK were individually inoculated into 20 mL sterile 10% V8 juice in Petri dishes. After four days incubation, the sporulating mycelia were washed with sterile distilled water at least three times, followed by incubation at 4°C for 1 h. The length and width of sporangia or/and number of zoospores were measured as described . All tests were carried out in three replicates.
Pepper leaf inoculation assay
For pepper leaf inoculation, strain SD33, CK transformations (positive control) and PcNLP-silenced lines were induced to produce zoospores as described above. Detached leaves of pepper at the fifth to sixth-leaf stages were placed in Petri dishes containing 1.5% (w/v) water agar. Each leaflet was spot-incubated with 2.5 μL of a zoospore suspension (1 × 105 zoospores/mL) with each transformation, CK and SD33 strains, and then kept in darkness at 25°C. The leaves were inoculated with distilled water used as negative control. The length and width of the lesions were measured at 3 dpi. Mean lesion areas appearing on the pepper leaves inoculated with individual silenced strains were also calculated at 3 dpi. Bars represent the mean ± standard error of 14 leaves (P = 0.01 or P = 0.05). Pictures of the lesions were taken at 3 dpi, as most of the lesions were not intact at 5 dpi. The tests were repeated three times with 14 leaves in each experiment.
Data were analyzed statistically using JMP Software (SAS Institute Inc., Cary, NC, USA). Data were subjected to one-way analysis of variance (ANOVA), and means were separated using Student’s multiple-range test (P = 0.05 or P = 0.01)
The data supporting the results of this article are included within the article.
This research was supported by Special Fund for Agro-scientific Research in the Public Interest of China (201003004) and 2013ZX08009003-001-006. We thank Prof. Brett Tyler for giving comments on this manuscript. Kurt Lamour very kindly uploaded the P. capsici genome sequence (http://img.jgi.doe.gov/cgi-bin/w/main.cgi).
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