We investigated whether development of resistance to a Bt crop in the presence of a natural enemy would be slower than without the natural enemy and whether biological control, in conjunction with a Bt crop, could effectively suppress the pest population. Additionally, we investigated whether insecticide-sprayed refuges of non-Bt crops would delay or accelerate resistance to the Bt crop. We used a system of Bt broccoli expressing Cry1Ac, a population of the pest Plutella xylostella with a low frequency of individuals resistant to Cry1Ac and the insecticide spinosad, and a natural enemy, Coleomegilla maculata, to conduct experiments over multiple generations. The results demonstrated that after 6 generations P. xylostella populations were very low in the treatment containing C. maculata and unsprayed non-Bt refuge plants. Furthermore, resistance to Bt plants evolved significantly slower in this treatment. In contrast, Bt plants with no refuge were completely defoliated in treatments without C. maculata after 4–5 generations. In the treatment containing sprayed non-Bt refuge plants and C. maculata, the P. xylostella population was low, although the speed of resistance selection to Cry1Ac was significantly increased. These data demonstrate that natural enemies can delay resistance to Bt plants and have significant implications for integrated pest management (IPM) with Bt crops.
Citation: Liu X, Chen M, Collins HL, Onstad DW, Roush RT, Zhang Q, et al. (2014) Natural Enemies Delay Insect Resistance to Bt Crops. PLoS ONE 9(3): e90366. doi:10.1371/journal.pone.0090366
Editor: Nicolas Desneux, French National Institute for Agricultural Research (INRA), FRANCE
Received: September 20, 2013; Accepted: January 30, 2014; Published: March 3, 2014
Copyright: © 2014 Liu 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: This project was supported by the Biotechnology Risk Assessment Program Competitive Grant no. 2008-33120-19536 from the USDA National Institute of Food and Agriculture and the Special Research Projects for Developing Transgenic Plants (2011zx08011-002) in China. 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.
The commercialization of plants expressing insecticidal crystal (Cry) proteins from Bacillus thuringiensis (Bt) for insect management has revolutionized agriculture and become a major tool for integrated pest management (IPM) programs –. In 2011, Bt crops were grown on nearly 70 million ha in 27 countries in 2012 . Bt crops have provided economic benefits to growers and reduced the use of other insecticides , –, suppressed pest populations on a regional basis –, conserved natural enemies  and promoted biological control services in agricultural landscapes . However, the development of insect resistance is a major threat to the sustainable use of Bt crops –.
Since Bt crops were first commercialized in 1996, there is evidence that three lepidopteran pests have evolved resistance to Bt crops in the open field – and one case of a coleopteran pest . Resistance to Bt plants is a serious concern, but the relatively few number of cases is in stark contrast to many cases of resistance to conventional insecticides, which has occurred much more rapidly . Commonly proposed reasons for the few confirmed cases of resistance to Bt plants are the high dose of Bt proteins expressed in plants and the use of refuges of non-Bt plants that can serve as a pool of Bt susceptible alleles in the population –.
Another possible reason for the relatively few cases of resistance to Bt plants could be their safety to natural enemies that help suppress pest populations. Numerous studies have investigated the effects of Bt crops and Cry proteins on natural enemies (predators and parasitoids) in the laboratory and field –. A meta-analysis has confirmed the safety of Bt proteins, especially when compared to traditional insecticides . When negative effects on natural enemies have been observed with Bt proteins, they appear to be due to the poor quality of the host and not the Cry protein , but see Desneux et al., 2010 . The safety of several Bt proteins has been verified in tritrophic studies conducted with Bt-resistant or non-susceptible herbivores that avoided the problems of prey-quality in some previous studies . Allowing Bt-resistant hosts to ingest Bt proteins and then feeding the hosts to natural enemies (both predators and parasitoids) has revealed no effects on the natural enemies –. However, some reports continue to suggest natural enemies may be harmed by Bt proteins , but these have been challenged .
The conservation of natural enemies by the use of Bt plants could also influence the development of resistance to Bt crops. This question was first studied by Gould et al.  in their conceptual and mathematical models on tritrophic interactions of a plant, an herbivore and a natural enemy. Their simplest conclusion was that natural enemies that increase differential fitness between susceptible and resistant phenotypes on host plants will accelerate resistance; those that decrease the differential will delay resistance. Johnson et al. – carried out controlled studies of a parasitoid and a pathogenic fungus that attack Heliothis virescens on Bt tobacco and concluded that the parasitoid would likely delay the development of resistance to transgenic tobacco, while the pathogen would likely promote the development of resistance. Mallampalli et al.  discovered that different prey species of a generalist predator had different effects on the development of resistance by Leptinotarsa decemlineata to Bt potato: the presence of one prey species delayed resistance while the other accelerated resistance. Heimpel et al.  reported that the form of egg mortality could influence the rate of resistance, but the importance of egg mortality depended on other ecological processes in the pest population. Other simulation models reported that natural enemies could slow insect resistance to Bt crops or Bt pesticides –. As this summary indicates, the literature contains suggestions that natural enemies could delay or accelerate resistance, depending on whether there is a differential impact on susceptible or resistant phenotypes.
In the present study we used a unique system, composed of broccoli plants transformed to express Cry1Ac protein, a population of Plutella xylostella, a global pest of crucifers  with a low frequency of resistant individuals to Cry1Ac and the insecticide spinosad, and the predaceous ladybird beetle, Coleomegilla maculata, to conduct a multigenerational study in the greenhouse. Our objectives were to determine: (1) if a natural enemy can delay the development of insect resistance to a Bt crop; and (2) if biological control in conjunction with Bt crops can effectively suppress the pest population. In addition, to simulate field-realistic conditions for both the predator and prey, we sprayed refuges with insecticide in some treatments, but not others, and observed those effects on the development of insect resistance.
Population Density of P. xylostella
The predator, presence of a refuge, and use of a spray on the refuge each influenced the population dynamics of P. xylostella per Bt plant over the 6 generations of the experiment. A repeated-measures ANOVA, with generation and treatment as factors, yielded a significant effect for generations (F3.164 = 77.101, P<0.001), for treatments (F4 = 31.788, P<0.001), and the interaction term generation*treatments (F12.656 = 16.250, P<0.001). During the 1st generation, few P. xylostella were found on Bt plants (Fig. 1A), and there were no significant differences between treatments using one-way ANOVA (F4 = 0.258, P = 0.900). By the 2nd generation, there was an average of 7 P. xylostella larvae and pupae per Bt plant in the treatment with only Bt plants, but the number of P. xylostella was still about 1 per plant in the other treatments (F4 = 3.767, P = 0.026). Bt plants were completely defoliated and control failure was evident in the Bt plant-only treatment at the 3rd generation when the number of P. xylostella had increased to 51 per Bt plant (F4 = 8.667, P = 0.001).
Bt+R: 75% Bt and 25% non-Bt refuge plants; Bt+R+Cm: 75% Bt and 25% non-Bt refuge plants with C. maculata; Bt+SR: 75% Bt and 25% spinosad-sprayed non-Bt refuge plants; Bt+SR+Cm: 75% Bt and 25% spinosad-sprayed non-Bt refuge plants with C. maculata; Bt Only: 100% Bt plants only, Non-Bt+Cm: 100% non-Bt refuge plants with C. maculata. Different letters within the same generations denote significant differences (P<0.05, one-way ANOVA, Games-Howell test for G3 and G6 in A, G1, G3 and G5 in B, other comparsions by Tukey HSD test).
At the 4th generation, the number of P. xylostella increased to 12 per Bt plant in treatment Bt+R (75% Bt plants +25% non-Bt refuge plants) and 29 per Bt plant in Bt+SR (75% Bt plants +25% spinosad-sprayed non-Bt refuge plants), significantly higher than those in treatments Bt+R+Cm (75% Bt plants +25% non-Bt refuge plants + predator) and Bt+SR+Cm (75% Bt plants +25% spinosad- sprayed non-Bt refuge plants + predator) (F4 = 21.294, P<0.001). There was still only about 1 P. xylostella per Bt plant in treatment Bt+R+Cm at the 5th and 6th generations, significantly lower than other treatments (5th generation: F4 = 59.203, P<0.001; 6th generation: F4 = 61.164, P<0.001). Most importantly, over the 6 generations of the test, only treatment Bt+R+Cm maintained <2 P. xylostella per Bt plant at each generation, suggesting the important role that the predator played in maintaining a low pest population.
When spinosad was used (treatment Bt+SR+Cm), the pest population was also maintained at a low level, except for a flare-up in the 5th generation when the P. xylostella population was >40 per Bt plant. Without the use of the predator (Bt+R), the pest population gradually rose and peaked at 61 per plant by the 6th generation, compared to being maintained at about 1 for all generations when the predator was used (Bt+R+Cm). When the predator was replaced by the insecticide spinosad (Bt+SR), the pest population increased more rapidly and peaked at 107 per plant in the 6th generation, again showing the strong and lasting benefit of the predator in maintaining a low pest population.
Examining the pest population on the refuge plants in the cages provided another indication of the overall performance of the treatments. Using repeated measures analysis, there were significant differences for generations (F3.740 = 29.341, P<0.001), for treatments (F4 = 60.288, P<0.001), and the interaction term generation*treatments (F14.960 = 10.071, P<0.001). On refuge plants, the density of P. xylostella varied between 5–120 P. xylostella per plant between generations and treatments (Fig 1B). Only the populations in Bt+SR+Cm, which combined Bt plants, spinosad and the predator, were consistently the lowest and did not exceed 20 per plant in any generation. Use of the predator alone (Bt+R+Cm) maintained a relatively low and stable pest population over all 6 generations. In treatments of 100% non-Bt refuge plants, P. xylostella densities exceeded 100 per plant at each generation despite keeping only 3 defoliated plants with their larvae and pupae in each cage to reduce the overall population. Therefore, we did not include the treatment of only non-Bt plants in Figure 1B.
Population Density of C. maculata
In treatments Bt+R+Cm and Bt+SR+Cm, predator populations generally increased as the pest, P. xylostella, populations increased. A repeated-measures ANOVA yielded a significant effect for generations (F1.838 = 11.873, P = 0.002), for treatments (F1 = 9.410, P = 0.022), and the interaction term generation*treatments (F1.838 = 11.225, P = 0.003). Only a few C. maculata adults were found in the 1st generation because only 3 pairs were released at the start of experiment (Fig. 2A). Predator populations on Bt plants in treatment Bt+R+Cm remained about 1 per plant because of the low pest population, especially on Bt plants through the 6th generation (Fig. 1A). In treatment Bt+SR+Cm, predator populations remained about 1 per plant until the 5th generation when they increased to >4.5 in the 5th and 6th generations (Fig. 2A). Mean values for the 5th and 6th generations by the independent-test between the two treatments, respectively, differed significantly (G5: t(6) = 4.562, P = 0.004; G6: t(6) = 6.268, P = 0.001). This likely maintained the pest population on the Bt plants at a low population (Fig. 1A), although resistance increased (Table 1).
Bt+R+Cm: 75% Bt and 25% non-Bt refuge plants with C. maculata; Bt+SR+Cm: 75% Bt and 25% spinosad-sprayed non-Bt refuge plants with C. maculata; Non-Bt+Cm: 100% non-Bt refuge plants with C. maculata. Different letters within the same generations denote significant differences (P<0.05, one-way ANOVA, Tukey HSD test).
Predator populations were generally higher on the refuge plants (Fig. 2B) than on the Bt plants (Fig. 2A), likely reflecting the higher pest density on these plants. For the three treatments Bt+R+Cm, Bt+SR+Cm, and non-Bt+Cm, there were no significant differences in predator density in most generations. The repeated measures showed significant effects for generations (F3.460 = 12.234, P<0.001) and the interaction term generation*treatments (F6.920 = 3.241, P = 0.012), but not for the treatments (F2 = 2.181, P = 0.175).
Resistance to Cry1Ac
Survival of P. xylostella larvae indicates resistance and, on Bt broccoli, it was significantly affected when analyzed using repeated-measures for generations (F2.714 = 35.792, P<0.001), for treatments (F6 = 81.199, P<0.001), and the interaction term generation*treatments (F16.282 = 6.719, P<0.001). Resistance levels reached 74.9% after only 3 generations in the treatment with Bt plants only, significantly greater than the survival in other treatments (F6 = 50.049, P<0.001) and >2x the next highest treatment of Bt+SR (75% Bt plants + 25% spinosad-sprayed non-Bt refuge plants) (Table 1). The high rate of resistance in the treatment with only Bt plants was sustained through the 6th generation. In treatment Bt+SR, resistance also developed rapidly, with 56.0% P. xylostella surviving at the 4th generation, significantly greater than the treatments Bt+R, Bt+R+Cm, Bt+SR+Cm and the control cages (Non-Bt Only and Non-Bt+Cm) (F6 = 33.319, P<0.001). The survival rates were 4–7% in treatment Bt+R+Cm (with predators) at all generations, but increased to 32.5% and 39.5% in treatment Bt+R (without predators) at the 5th and 6th generations, respectively. There were significant differences among treatments (5th generation: F6 = 26.302, P<0.001; 6th generation: F6 = 38.850, P<0.001) with <10% survival in Bt+R+Cm, Non-Bt Only and Non-Bt+Cm, and >70% survival in Bt+SR, Bt+SR+Cm and Bt Only, while Bt+R had nearly 40% survival in the 6th generation. These significant differences at the 6th generation among Bt+R, Bt+R+Cm and Bt+SR+Cm highlight the ability of the predator to slow the rate of resistance to Bt plants. Treatment Bt+R+Cm, which included the predator, had the lowest survival (6.0%) while the treatment without the predator (Bt+R) had 39.5% survival. Including the predator but using spinosad (Bt+SR+Cm), which has some toxicity to Cm , increased the development of resistance to Bt plants as indicated by the 72.8% survival (Table 1).
A large body of literature has evaluated the potential ecological risks of Bt crops to non-target organisms including natural enemies of insect pests , , , . However, as is the case with conventional insecticides, the interaction of natural enemies and resistance development in their hosts has received far less attention.
Our present results indicate that the predator, C. maculata, combined with non-Bt and unsprayed refuge plants, delayed resistance in the P. xylostella population to Bt broccoli plants, when compared to treatments without the predator. Some theoretical work predicted a similar conclusion, that natural enemies could slow the development of insect resistance to Bt crops or Bt sprayed on crops , –. The present work, conducted over multiple generations, adds empirical evidence to the theory that natural enemies can slow the development of resistance to Bt crops.
Arpaia et al.  reported that the distribution of C. maculata in potato fields is driven by the prey's density but, in spite of this aggregation, a significant number of them occur in areas where food density is low. In the present study, we observed some C. maculata adults and larvae on Bt plants, although the prey density was very low on these plants. Still the likelihood of a Bt-resistant P. xylostella individual reaching adulthood on transgenic plants will be lowered if there are natural enemies on Bt plants, and this, in turn, will slow the rate at which the resistance alleles increase in frequency. In our tests, C. maculata were found on Bt plants (Fig. 2B) where they likely encountered Bt-resistant P. xylostella and removed them, thus eliminating resistance alleles from the population. This is the likely cause of the slower rate of resistance in the treatment with the refuge and predator. Although spinosad is considered relatively non-toxic to natural enemies, it does have a toxic effect on C. maculata, although much less than “harder insecticides” .
Widespread planting of Bt crops places strong selection pressure on pest populations, which could result in resistance to Bt and control failure , –. Currently, an accepted cornerstone of resistance management programs for Bt crops in the United States, Australia, and elsewhere, is a refuge consisting of plants free of Bt insecticidal proteins, thus allowing Bt-susceptible alleles to persist in the population. When resistance is recessive, as has been the case so far for many key pests, then matings between resistant individuals emerging from Bt plants and those from refuge plants will greatly reduce the possibility of creating homozygous resistant offspring that can damage Bt plants . In the United States, the Environmental Protection Agency (EPA) mandates non-Bt refuges of different sizes for different Bt crops.
Empirical data have demonstrated the usefulness of refuges for Bt crops. Tang et al.  reported that pest population growth was influenced by refuge size, with the highest populations occurring in treatments that had either no refuge plants or all refuge plants. That study also confirmed other models  that the development of resistance was inversely proportional to the size of the refuge. Most importantly, Tang et al.  demonstrated that a balance could be struck by refuge sizes that would delay resistance while at the same time limit the growth of the pest population and damage to the crop, as has been observed in the field , .
In the present study, results indicate that refuges slow resistance, but a sprayed refuge could accelerate it. These findings are in line with our previous field study . In the treatment with only Bt plants without refuge plants, control failure and high insect densities were observed in the 3rd generation (two replications) and the 4th generation (the other two replications). Plants in the treatment of spinosad-sprayed non-Bt broccoli plants (Bt+SR) were completely defoliated between the 4th and 5th generations.
In the treatment (Bt+SR+Cm) in which the predator and spinosad were used, 36.8% of the pest population survived on Bt plants by the 5th generation and by the 6th generation that had increased to 72.8% (Table 1). Spinosad killed most susceptible P. xylostella on refuge plants, and not enough susceptible individuals mated with the resistant individuals on Bt plants. Therefore, resistance development was quick although there were C. maculata in the treatment (Bt+SR+Cm). However, the pest populations were very low in this treatment with 16.5 P. xylostella larvae per refuge plant (Fig. 1A) and 8.9 per Bt plant (Fig. 1B) at the 6th generation. In the 6th generation, we found >100 C. maculata in each cage. This indicates that the high predator population controlled P. xylostella density to a low level, despite the fact that the pest had developed resistance to the Bt toxin.
While farmers are concerned with reducing the likelihood of resistance, they are more immediately concerned with lowering the pest population to avoid crop injury. It is well worth noting that in our experiments we not only saw the lowest rate of resistance development in the prey when the predator was not decimated by the use of an insecticide, but also the lowest and least fluctuating pest population on Bt plants (Fig. 1A) and low and stable pest populations on non-Bt plants in the refuge (Fig. 1B). Thus, our data suggest that farmers can have sustainable management of pests if they combine Bt plants with biological control.
In conclusion, this study provides empirical evidence to confirm the theory that natural enemies can delay resistance development to Bt plants, but also demonstrates that it can do so while maintaining a low pest density and low crop damage. Non-Bt refuges are necessary to delay resistance to Bt plants, but spraying refuges could accelerate resistance if sprays reduce the function of important biological control agents of the pest. We suggest that host-plant resistance with Bt plants and biological control can be fully compatible within an overall integrated pest management (IPM) program. Our results have significant implications for IPM and insect resistance management (IRM) for Bt crops.
Three strains of Plutella xylostella were used to create a hybrid population for the cage tests: the susceptible Geneva 88 (SS), the Cry1Ac-resistant (Cry1Ac-RR), and the spinosad-resistant (Pearl-RR) , ,  strains. The hybrid population was created by releasing 100 F1 RS1 (G88 female × Cry1Ac-RR male), 100 RS2 (G88 female × Pearl-RR male) and 300 G88 moths into a cage. The total number of moths in the cage was 500 with a 1∶1 ratio for female and male moths from each strain. Eggs were collected from the cage and put on artificial diet to rear F1 larvae. About 1,000 moths from F1-F4 were used to produce a synthetic population. F5 pupae were used in the selection experiments. The expected allele frequency of the synthetic population (square root of survival rate) was 0.1 for Cry1Ac and spinosad resistance. The mean survival of F5 larvae was 0.033 on Cry1Ac plants and 0.025 on spinosad-sprayed plants. Therefore, the actual initial allele frequency at the start of the experiment was estimated to be 0.057 (square root of 0.033) for Cry1Ac resistance and 0.050 (square root of 0.025) for spinosad resistance . While this is higher than would be expected in the field initially when Bt crops are released (perhaps 10−3 or lower ), we expected that these initial frequencies would allow us to see differences among the treatments in a reasonable time frame.
Larvae and adult C. maculata were obtained from DuPont Pioneer (Johnston, IA) and maintained in a climatic chamber at 27±1°C, 65±5% RH and 16∶8 L: D at Cornell University's Department of Entomology at Geneva, NY. Both larvae and adults were reared on decapsulated eggs of brine shrimp, Artemia franciscana, (Brine Shrimp Direct, Ogden UT) and 1.5% agar solution provided separately as a water source.
Transgenic broccoli plants and insecticide
We used Brassica oleracea producing high levels of Cry1Ac for our Bt broccoli plants . Bt broccoli plants with 8 true leaves were used, and analysis by ELISA indicated that the Cry1Ac protein level was 12.33±1.62 µg/g fresh leaf tissue (n = 7). To ensure the activity of the Bt broccoli, the plants were screened with P. xylostella neonates of F1 heterozygotes (G88 × Cry1Ac-RR) when plants were 4 to 5 wk old . The Cry1Ac plants that killed 100% of neonates of F1 heterozygotes (SS x Cry1Ac-RR), indicating high levels of expression in the Bt plants, were used in the greenhouse experiments. Non-Bt broccoli (cv. Packman) was used in the refuge.
A commercial formulation of spinosad (SpinTor 2 SC, 240 g [AI]/Liter) was used. Refuge plants in the treatments B1 and B2 were sprayed in the cages using a small hand-held sprayer. The Cry1Ac plants were covered during the sprays to avoid drift. The concentration we used was 90 ppm, which was the lowest field dose listed on the insecticide label. The insecticide-treated refuges were sprayed at the 1st, 3rd and 5th generations in order to keep the P. xylostella population in check in the cages.
The selection experiment was conducted in greenhouses at Cornell University's New York State Agricultural Experiment Station and followed the general procedures used in previous studies , . Each cage was 1.8 m long×0.9 m wide×1.7 m high and constructed of nylon netting. Adults, but not larvae, could easily move between the different broccoli types, which were separated by a nylon-netting barrier (0.9 m high). This arrangement simulated adjoining fields with frequent inter-field movement by adults but negligible movement of larvae.
Seven treatments were included in the experiment (Table 2). There were 16 plants total in each cage (12 Bt plants plus 4 non-Bt refuge plants). 250 F4 pupae of the synthetic P. xylostella population were released into each cage. Three pairs of 1-week old C. maculata were released into cages of the treatments Bt+R+Cm, Bt+SR+Cm and non-Bt+Cm when the P. xylostella larvae were 2nd instars. During the pupal period, all old plants were cut at the base of the stem, and plants and pots (which might have pupae on them) were kept in the cages for a week in order to allow adults to emerge. New plants were introduced into the cage to provide foliage for egg laying or existing larvae that had defoliated plants. There were four replications (cages) of Bt-plant treatments (Bt+R, Bt+R+Cm, Bt+SR, Bt+SR+Cm and Bt Only) and three of the controls (Non-Bt Only and non-Bt+Cm).
Older larvae (primarily 3rd or 4th instars) and pupae of P. xylostella, and pupae and adults of C. maculata on broccoli plants were counted every generation when larval and pupal densities peaked. To test for resistance, 30–40 larvae from non-Bt refuge plants were collected from each cage at the 3rd, 4th and 5th generations. The larvae were reared on diet in the laboratory, and then adults were allowed to mate and eggs were harvested and tested as described below. At the 6th generation, we collected at least 60 pupae on refuge plants from most of the cages. The survival of 2nd instars derived from the pupae collected in each cage was tested on Cry1Ac broccoli leaf disks in 30-ml plastic cups . For each cage, a total of 100 larvae in 10 replications were tested on Bt broccoli, and non-Bt broccoli was used as a control. We also tested survival of 2nd instars derived from B1 and B2 treatments on spinosad-dipped broccoli leaf disks in 30-ml plastic cups at the diagnostic dose of 10 ppm . A total of 100 larvae were tested (10 replications, 10 larvae/rep) for each cage. For both Cry1Ac plants and spinosad treatments, survival was determined after 3 days at 27±1°C, 50±10% RH and 16∶8 L:D photoperiod.
All statistical analyses were conducted using SPSS 17.0 Windows . Descriptive statistics are given as mean values and standard errors of the mean. Because the data fit the assumptions for parametric analysis, the repeated measures ANOVA was used with the factors of generations and treatments for analysis of the population of P. xylostella on Bt and non-Bt plants and the survival on Cry1Ac leaves of P. xylostella larvae from adults taken from cages. The survival rates were transformed by square root before analysis. For each generation, the differences of resistance development and the population of P. xylostella and C. maculata were analyzed by one-way ANOVA, and means were compared by Tukey HSD, if the data fit homoscedasticity, and Games-Howell test if not. Differences of the mean values in the population of C. maculata per Bt plants between the treatments of refuge + C. maculata and sprayed-refuge + C. maculata were examined by independent t-tests. In all tests P values <0.05 were considered significant.
Conceived and designed the experiments: XXL MC DO RR AMS. Performed the experiments: XXL MC AMS. Analyzed the data: XXL MC AMS. Contributed reagents/materials/analysis tools: HLC EDE. Wrote the paper: XXL AMS. Discussed and helped analyze the results: QWZ.
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