Next Article in Journal
Identification and Characterization of a New Microalga Dysmorphococcus globosus-HI from the Himalayan Region as a Potential Source of Natural Astaxanthin
Previous Article in Journal
MTBP and MYC: A Dynamic Duo in Proliferation, Cancer, and Aging
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Elevated CO2 Altered Rice VOCs Aggravate Population Occurrence of Brown Planthoppers by Improving Host Selection Ability

Department of Entomology, College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, China
*
Author to whom correspondence should be addressed.
Biology 2022, 11(6), 882; https://doi.org/10.3390/biology11060882
Submission received: 18 May 2022 / Revised: 4 June 2022 / Accepted: 6 June 2022 / Published: 8 June 2022

Abstract

:

Simple Summary

In recent years, the atmospheric CO2 concentration was increasing continuously, which has led to the change in the photosynthesis and chemical composition of rice plants. The growth and development of brown planthopper (BPH) Nilaparvata lugens are further affected. Plants release volatile organic compounds (VOCs) to mediate intra- and inter-specific interactions with other organisms in the surrounding environment. Therefore, here we aim to explore the effect of rice VOCs on the host selection ability of BPH under elevated CO2. Among the identified thirty-six rice VOCs, the contents of heptadecane, linalool and limonene from rice plants were significantly decreased under elevated CO2. Moreover, we found that the VOCs of rice damaged by BPH were also changed. Undecane, hexadecane, nonanal and 2,6-diphenylphenol from BPH-damaged rice plants under elevated CO2 were all significantly higher than those from healthy rice plants, which might lead to enhancement of the host selection ability of BPH, eventually aggravating the damage caused by BPH. However, the role of these VOCs in host selection ability of BPH is not clear, and more experiments are needed to verify their function.

Abstract

It is predicted that plant volatile organic compounds (VOCs) are affected by the atmospheric CO2 levels rising globally, which further affects the interaction between plants and herbivorous insects, especially the host selection behavior of herbivorous insects. In this study, the effects of elevated CO2 on the host-selection behavior of the brown planthopper (BPH) Nilaparvata lugens, and the emission of VOCs from the healthy and BPH-damaged rice plants were studied simultaneously to make clear the population occurrence of BPH under global climate change. Compared with ambient CO2, elevated CO2 significantly increased the host selection percent of BPH for the healthy (CK) and BPH-damaged rice plants, and the host selection percent of BPH for the BPH-damaged rice plants was significantly higher than that for the healthy rice plants under elevated CO2, which might be regulated by the transcription levels of OBP1, OBP2 and CSP8 in BPH due to the upregulated transcriptional levels of these three genes of BPH under elevated CO2. In addition, we analyzed and quantified the emission of VOCs in rice plants grown under ambient CO2 and elevated CO2 by GS-MS. A total of 36 VOCs from rice plants were identified into eight categories, including alkanes, alkenes, alcohols, aldehydes, ketones, esters, phenols and aromatic hydrocarbons. Elevated CO2 significantly decreased the contents of heptadecane, linalool and limonene from rice plants compared with ambient CO2. Besides, the contents of linalool, phytol, decanal, 1-methyldecalin and 2,6-diphenylphenol from BPH-damaged rice plants under ambient CO2, and undecane, hexadecane, nonanal and 2,6-diphenylphenol from BPH-damaged rice plants under elevated CO2 were all significantly higher than those from healthy rice plants. The percentage composition of phenols was positively correlated with the host selection rate of BPH. Our study indicates that elevated CO2 is beneficial to promote the host selection ability of BPH for rice plants damaged by BPHs due to the changed plant VOCs.

1. Introduction

In recent years, the main greenhouse gas CO2 concentration has gradually increased. According to the report published by the National Oceanic and Atmospheric Administration (NOAA), the atmospheric CO2 concentration increased by nearly 10 ppm in the past five years, and it was still growing continuously [1], and was predicted to reach 800 ppm by the end of the 21st century [2]. As a raw material for photosynthesis, elevated CO2 can directly affect the photosynthetic rate of plants [3], further affect the C/N ratio of plant tissues [4,5,6], and simultaneously change the allocation of primary and secondary metabolites in plant tissues [7,8,9,10,11].
Plant secondary metabolites play an essential role in plant adversity adaptation (including insect pests’ damage, etc.). The increase in atmospheric CO2 concentration affects the distribution of photosynthetic products by affecting plant photosynthesis, which might lead to changes in the contents of plant secondary metabolites (including terpenes, flavonoids, alkaloids, etc.) and affect plant resistance to insects [12,13]. It was found that the N-based secondary metabolites (e.g., terpenoids) decreased, while the C-based secondary metabolites increased (e.g., total phenols, condensed tannins and flavonoids) under elevated CO2 [14,15,16]. Those volatile organic compounds (VOCs) released by plants mainly included alkanes, alkenes, terpenoids, aromatic compounds, etc. [17,18], which were also included in the changes in the composition and contents of plant secondary metabolites caused by elevated CO2 [19,20]. The effects of elevated CO2 on VOCs differed specifically among plant species and different plant tissues [21]. For example, the isoprene emission from the green tissues of plants decreased with the increase in CO2 concentration, while the isoprene emission from woody tissues was not affected by CO2 concentration [22,23]. However, the emission of the three most abundantly emitted monoterpenes (α-pinene, sabinene and β-pinene) was inhibited under elevated CO2 [24]. Ballhorn et al. [25] also reported that the total release of VOCs from lima bean plants significantly increased in response to elevated CO2. In addition, the change of VOCs released by host plants under elevated CO2 would affect the interaction between plants and insect herbivores [26,27], indicating potential functions of agricultural and natural ecosystems [28].
Plants release VOCs to mediate intra- and inter-specific interactions with other organisms in the surrounding environment. Herbivorous insects could distinguish host plants releasing VOCs using their olfactory senses in the environment [29,30]. The olfactory receptors of insects are located on the antenna and maxillary palpi. Both organs have olfactory receptor neurons (ORNs), which are covered with different types of olfactory receptors [31,32,33]. Herbivorous insects use the receptors on the antennae and chin whiskers to receive odor molecules. The odor-binding proteins combine with the odor molecules and transport them to the olfactory receptors, thus transmitting tactile information to the brain [34]. The odorant-binding proteins (OBPs), chemosensory proteins (CSPs), odorant degrading enzymes (ODEs) and sensory neuron membrane proteins (SNMPs) play important roles in the insects’ initial identification of host plants, and the OBPs and CSPs are the primary peripheral olfactory proteins that play critical roles in odor detection [35]. Studies have shown that the OBPs of the brown planthopper, Nilaparvata lugens, could recognize terpenes and ketones [36,37], and several CSPs were identified from BPH [38].
The brown planthopper (BPH), N. lugens, is one of the most severe and destructive economic insect pests of rice crops in Asia [39]. Long-term misuse of pesticides has led to the high resistance of BPH, which threatens natural enemy insects and destroys ecosystem diversity, causing frequent BPH outbreaks and bringing considerable losses to rice production in China [40,41]. Green prevention and biological control should be vigorously promoted to avoid rampant pests caused by insecticide resistance. There were some cases of using plant VOCs to control pests in agricultural production [42,43]. It will be a potential application of using plant VOCs to control insect pests during climate change in the future. In this study, the host-selection behavior of BPH, BPH for the healthy rice plants and the BPH-damaged rice plants was measured under ambient and elevated CO2, as well as the expression levels of OBPs (including OPB1, OBP2 and OBP3) and CSPs (including CSP3, CSP8 and CSP10) in BPH, and the emission of VOCs from the healthy and BPH-damaged rice plants, in order to make clear how plant VOCs from rice plants affect the host-selection behavior of BPH in responding to elevated CO2.

2. Materials and Methods

2.1. CO2 Level and Environmental Condition

Two CO2 levels, including elevated CO2 (800 ppm; predicted level at the end of this century) [44,45] and ambient CO2 (400 ppm; current atmospheric CO2 level), were set up in separate artificial climate chambers (ACCs; GDN-400D-4-CO2, Ningbo Southeast Instrument CO2, Ningbo, China) with 14 h light and 27 °C/10 h dark and 26.5 °C, and 70% relative humidity (RH), and each CO2 level had three ACCs. CO2 gas was supplied to each ACC of elevated CO2 all day, and the CO2 level was automatically monitored and adjusted once every 20 min. The automatic-control system for the CO2 concentrations and ACCs was detailed in Qian et al. [46,47].

2.2. Plant Materials and Insect Stocks

A susceptible rice variety, Taichung Native 1, (TN1, carrying no BPH resistance genes) was grown in artificial climate chambers (ACCs; GDN-400D-4-CO2, Ningbo Southeast Instrument CO2, Ningbo, China) at Nanjing Agricultural University, Nanjing, Jiangsu Province of China (32°03′ N, 118°84′ E). The TN1 rice seeds were soaked in water for 24 h, then placed on wet gauze to accelerate germination, and then sowed in seeding trays (one seed per hole). The TN1 plants grown for 15 days were transplanted into plastic pots (23 cm diameter and 16 cm height) filled with potting soil (three rice plants per pot), watered with nutrition solution [48] every three days. The potted rice plants in each ACC were randomly changed every week to avoid the position effect of pots. The rice plants grown for 50 days (i.e., tillering stage) were selected for the following experiment.
The BPH adults were collected from the paddy fields of Jiangsu Academy of Agricultural Science, Nanjing, Jiangsu Province of China (32°04′ N, 118°88′ E), and they were reared with TN1 rice seedlings for more than 40 generations in ACCs under ambient CO2 in the laboratory. The photoperiod, temperature and RH in these ACCs were the same as above.

2.3. Host Selection Assays of N. lugen Adults for the Healthy and BPH-Damaged Rice Plants

In this study, the healthy (CK) and BPH-damaged rice plants were used under ambient and elevated CO2, i.e., there were four treatments, including ambient CO2 + healthy (CK) rice, ambient CO2 + BPH-damaged rice, elevated CO2 + healthy (CK) rice, and elevated CO2 + BPH-damaged rice. The pots with BPH-damaged rice plants were covered with plastic buckets, and five pairs of newly emerged female and male adults of BPH were released onto each rice plant, and then the openings at both ends of plastic buckets were sealed with gauze to prevent the BPHs from escaping. After the inoculation for 24 h, the BPH-damaged and healthy (CK) rice plants were collected, and the rice roots were cleaned and wrapped with tinfoil for the host selection assays and plant VOCs collection.
The effects of the elevated CO2 on the host-selection behavior of BPHs for the healthy (CK) and BPH-damaged rice plants were quantified by using a four-chamber olfactometer (PSM4-150; Nanjing Pusen Instrument Co. Ltd., Nanjing, China). The diagonal ends of the four-chamber olfactometer were set as the treatment areas for the above four treatments. An 8 W fluorescent lamp was placed above the four-arm motherboard and the flow meter was adjusted to deliver a consistent airflow of 200 mL/min to both sides. Thirty BPH adults within three days of new emergence were selected randomly and starved for two hours, and then released to the center of the four-arm motherboard to observe their host-selection behavior. If the sampled BPH adults reached the nesting area of one arm within 20 min, the treatment corresponding to that arm was considered as the choice of the released BPH adults. Those BPH adults that did not reach any nesting area within 20 min after release were considered non-responders (i.e., no choice). Three replicates per experiment were set up. The four-arm olfactometers were rotated horizontally by 90° every time the experiment was repeated to avoid the position influence. In order to avoid biases in the behavioral observations between tests, the air compressor was turned off for 10 min and wiped with anhydrous alcohol after each test. The intake pipe was also exchanged after each test. All of the tests were carried out in a clean, uniform, well-ventilated and relatively closed laboratory. The BPH adults fed on rice plants grown under ambient and elevated CO2 were collected for the following gene expression analysis of OBP genes and CSP genes.

2.4. RNA Extraction, cDNA Synthesis and qRT-PCR Analysis

Six BPH adults (including three females and three males) were collected from each biological replicate of each treatment (i.e., three biological replicates) for RNA isolation to analyze the gene transcript expression levels of OBP genes (including OPB1, OBP2 and OBP3) and CSP genes (including CSP3, CSP8 and CSP10). Total RNA was isolated from the whole body of BPH adults by using the TRIzol® reagent (Invitrogen, Carlsbad, CA, USA). The concentration and quality of samples were determined by using the NanoDropTM spectrophotometer (Thermo Scientific, Waltham, MA, USA) and 1.5% agarose gel electrophoresis. The cDNA synthesis was carried out with 100 ng of total RNA via the PrimeScriptTM RT reagent Kit with gDNA Eraser (Takara, Osaka, Japan). Reverse transcriptase reactions were performed in a reaction volume of 20 μL. The qRT-PCR was performed with a 7500 real-time PCR detection system (Applied Biosystems, Foster City, CA, USA) by using 1× SYBR® Premix Ex TaqTM (TaKaRa, Osaka, Japan), 2 μL cDNA products (diluted from 20 μL to 200 μL with RNase-free water) and 0.2 μM primers in a final reaction volume of 20 μL. The specific primers for the genes of OPB1, OBP2 and OBP3 [37], and CSP3 [49], CSP8 [50] and CSP10 [51], and the reference genes β-Actin [52] and ug-Actin [37] were listed in Table 1. The genes’ expression level was quantified following the 2−ΔΔCt normalization method, respectively [53]. The relative expression level was represented as the fold changes by comparing the samples of ambient CO2 and elevated CO2 treatments. Three technical replicates were performed for cDNA.

2.5. Collection and Identification Assays of the VOCs from the Healthy and BPH-Damaged Rice Plants Grown under Ambient and Elevated CO2

Plant volatile organic compounds (VOCs) were collected using the dynamic headspace adsorption method from the healthy (CK) and BPH-damaged rice plants grown under ambient and elevated CO2, respectively. The device consists of air pump, flow meter, washing cylinder, drying tower, cylinder and adsorption tubes. The reagent consumables used included N-hexane (chromatographically pure) and Tenax (200 nm), transparent screw mouth sample bottle (4 mL volume), brown thread mouth automatic sample injection bottle (caliber 9 mm) (Shanghai amps experimental technology Co. Ltd.; Shanghai, China) and high purity nitrogen. GC-MS (320-MS; Brook Dalton mass spectrometry Co.; Brook, IL, USA) was performed to analyze the species and concentrations of the volatile samples above (shown in Supplementary Materials). GC was equipped with a HP-5 Agilent capillary column (30 m × 0.32 mm × 0.25 μm), and the injector temperature was set at 250 °C; Helium was used as the carrier gas at an average flow rate of 1 mL/min. The MS method was as follows: ionization mode was set at EI 70 eV; the source and transfer line were maintained at the temperature of 230 °C and 280 °C, respectively; and the scanned area reached 50–550 m/Z. The VOCs from healthy and BPH-damaged rice plants grown under ambient and elevated CO2 were identified by comparing mass spectra with those of authenticated samples in the database.

2.6. Statistical Analysis

All data were analyzed using SPSS 20.0 software (IBM Corporation, Armonk, NY, USA). All measured index values were shown in mean ± standard errors (SE). Two-way ANOVAs were used to analyze the effects of CO2 level (ambient CO2 versus elevated CO2), BPH-damaged treatment (healthy (CK) versus BPH-damaged rice plants) and their interaction on the host-selection rate of BPH adults, and on the relative percent of VOCs (including eight groups, and each type of VOCs) from the healthy (CK) and BPH-damaged rice plants grown under ambient and elevated CO2. One-way ANOVA was used to analyze the effect of CO2 level on the transcript expression of OBP genes (OPB1, OBP2 and OBP3) and CSP genes (CSP3, CSP8 and CSP10) of BPH fed on rice plants grown under ambient and elevated CO2, In addition, significant differences between the two CO2 levels (ambient CO2 versus elevated CO2) and between two types of rice plants (i.e., healthy (CK) and BPH-damaged rice plants) were analyzed by the independent-sample t-test at p < 0.05.

3. Results

3.1. Effect of Elevated CO2 on the Host Selection of BPH for the Healthy and BPH-Damaged Rice Plants

Two-way ANOVAs indicated that the CO2 level significantly affected the host selection rate of BPH adults (F = 22.022, p < 0.001), while neither BPH-damaged (F = 1.011, p = 0.327) nor the interaction between CO2 level and BPH-damaged treatment (F = 4.045, p = 0.058) had a significant effect on the host selection rate of BPH adults (Table 2). The host selection rate of BPHs for the healthy (CK) rice plants was 20.00% under the ambient CO2, which was significantly lower than that (24.44%) under the elevated CO2 (+22.22%; p < 0.05, Figure 1). The host selection rate of BPH for the BPH-damaged rice plants was 15.00% under the ambient CO2, which was lower than that (26.11%) under the elevated CO2 (+74.07%; p < 0.05, Figure 1). Meanwhile there was no significant difference in the host selection rate of BPHs for the healthy (CK) rice plants in contrast to that of the BPHs for the BPH-damaged rice plants, under ambient or elevated CO2 (p > 0.05, Figure 1).

3.2. Relative Expression Levels of OBP and CSP Genes in BPH Adults Fed on Rice Plants Grown under Ambient and Elevated CO2

CO2 level significantly affected the relative expression levels of OBP1 (F = 3.471, p = 0.006), OBP2 (F = 4.084, p < 0.001) and CSP8 (F = 3.076, p = 0.007) in BPH adults (Table 2). The relative expression levels of OBP1 and OBP2 were significantly upregulated by 29.56% and 75.56% (p < 0.05, Figure 2A), as well as the gene expression level of CSP8, which was significantly upregulated by 38.56% (p < 0.05, Figure 2B) when BPH adults fed on rice plants grown under elevated CO2 in contrast to the ambient CO2.

3.3. Effect of Elevated CO2 on the Components and Contents of VOCs from the Healthy and BPH-Damaged Rice Plants

Eight chemical groups of VOCs were identified from the healthy (CK) and BPH-damaged rice plants grown under ambient and elevated CO2, mainly including alkanes, alcohols, alkenes, ketones, aldehyde, esters, aromatic hydrocarbon and phenols (shown in Figure 3). CO2 levels significantly affected the relative percentage composition of alkenes (F = 9.195, p = 0.016), and BPH-damaged treatment significantly affected the relative percentage compositions of esters (F = 9.069, p = 0.017), aromatic hydrocarbon (F = 6.917, p = 0.030) and phenols (F = 27.186, p < 0.001) from rice plants (Table 2). Moreover, the relative percentage composition of phenols was also significantly affected by the interaction between CO2 level and BPH-damaged treatment (F = 7.912, p = 0.023; Table 2). Compared with ambient CO2, elevated CO2 had no significant effects on the percentage composition of eight groups of VOCs from the healthy (CK) rice plants (p > 0.05), but it significantly reduced the percentage composition of alkenes from the BPH-damaged rice plants (p < 0.05, Figure 3). In addition, the percentage composition of phenols from the BPH-damaged rice plants was significantly higher than that from the healthy (CK) rice plants grown under ambient and elevated CO2 by 35.29% and 13.11%, respectively (p < 0.05, Figure 3).
Moreover, there were 36 kinds of VOCs identified from the healthy (CK) and BPH-damaged rice plants, the largest components were alkanes with 18 species, the lowest components were phenols with one species (shown in Figure 4). The relative percentages of linalool (F = 21.416, p = 0.002) and limonene (F = 12.893, p = 0.007) were significantly affected by the CO2 level, and the BPH-damaged treatment significantly affected the relative percentages of hexadecane (F = 10.462, p = 0.012), linalool (F = 6.098, p = 0.039), nonanal (F = 10.012, p = 0.013), methyl cis-9,10-epoxystearate (F = 9.180, p = 0.016) and 2,6-diphenylphenol (F = 27.186, p < 0.001) from rice plants (Table 3). The interaction between CO2 level and BPH-damaged treatment also significantly affected the relative percentages of heptadecane (F = 10.157, p = 0.013), linalool (F = 9.206, p = 0.016), limonene (F = 7.430, p = 0.026) and 2,6-diphenylphenol (F = 7.912, p = 0.023) from rice plants (p < 0.05, Table 3). Compared with ambient CO2, the elevated CO2 had no significant effect on the relative percentage contents of the measured 36 kinds of VOCs from the healthy (CK) rice plants (p > 0.05), while it significantly decreased the relative percentage contents of heptadecane, linalool and limonene from the BPH-damaged rice plants (p < 0.05; Table 4). In addition, the relative percentage components of linalool, phytol, decanal, 1-methyldecalin and 2,6-diphenylphenol from the healthy (CK) rice plants were significantly higher than those from the BPH-damaged rice plants grown under ambient CO2 (p < 0.05), and the relative percentages of undecane, hexadecane, nonanal and 2,6-diphenylphenol from the BPH-damaged rice plants were significantly higher than those from the healthy (CK) rice plants grown under elevated CO2 (p < 0.05; Table 4).

3.4. Correlation Analysis among the Host-Selection Rate, the Transcript Expression Levels of OBPs and CSPs in BPH Adults and the Relative Percentages of Rice Plant VOCs

The Pearson analysis showed that the host selection rate of BPH adults was positively correlated with the expression levels of OBP1 and OBP2, and negatively correlated with the expression level of CSP10 in the BPH adults, and it also indicated that the host selection rate of BPH adults was just positively correlated with the relative percentage composition of phenols (Phe) in the eight chemical groups of VOCs released from rice plants (shown in Figure 5).

4. Discussion

It is found that the host selection by phytophagous insects is influenced by many factors, such as the species, quantity and volatile odor of host plants [54,55,56], and environmental factors, including atmospheric CO2 concentrations [57,58]. Elevated CO2 changes the primary metabolism and secondary metabolism of plants, which affects the host selection of phytophagous insects [57,58]. In this study, we used the plant selection methods through a four-chamber olfactometer to measure the host selection rate of the brown planthopper (BPH), Nilaparvata lugens adults for the healthy (CK) and BPH-damaged rice plants. The results indicated that elevated CO2 significantly increased the host selection rate of BPH adults for the healthy (CK) and BPH-damaged rice plants compared with the ambient CO2. There was no significant difference in the host selection rate of the BPH adults for the healthy (CK) compared to the BPH-damaged rice plants. Interestingly, the host selection of BPH adults for the BPH-damaged rice plants was significantly lower than that for the healthy (CK) rice plants under ambient CO2, while it was just the opposite tendency under elevated CO2. Qian et al. [58] reported that the western flower thrips, Frankliniella occidentalis, have a higher potential host selection ability for the kidney bean, Phaseolus vulgaris, damaged by F. occidentalis under elevated CO2. Hu et al. [59] also indicated that BPH favored rice plants damaged by the Chilo suppressalis. Since the emission of VOCs from damaged plants could repel or attract herbivorous insects [60,61], it is speculated that elevated CO2 would probably aggravate the BPH damage for the BPH-damaged rice plants due to changes in the VOCs released under future climate change.
Herbivorous insects have evolved sensitive olfactory systems, which can sense and deal with specific volatiles emitted by their host plants [62]. It is believed that both OBP and CSP genes carry some functional proteins which participate in the initial recognition of odor perception by capturing hydrophobic odor molecules and transporting them to olfactory receptor neurons through hydrophobic lymph [63,64]. The combination of OBPs and odor molecules is the first biochemical reaction of herbivorous insects’ specificity to identify the external odor substances, which is also the critical component of the first function [65,66]. In this study, the expression levels of OBP1 and OBP2 genes were upregulated by elevated CO2, which may further enhance the olfactory ability of BPH. Similarly, the expression levels of OBP2 and OBP7 in A. gossypii adults were also significantly enhanced under elevated CO2 compared with the ambient CO2 [57]. The expression of OBP genes in insects could be considered a critical factor for their physiological function in regulating insects’ host-selection behavior [67]. In addition, the CSP genes are assumed to have more important functions than OBP genes, and they play an essential role in dissolving and transporting different chemoreceptor fat-affinity ligands, participating in the functional part of olfaction and sensory chemical stimulation [68]. The gene expression level of CSP8 was upregulated by elevated CO2. Consistent results including the upregulated expression of CSP4 and CSP6 in A. gossypii adults [57], as well as CSP1 and CSP1-q in F. occidentalis, under elevated CO2 compared with ambient CO2 [58] were also found. Moreover, the host selection of BPH was positively correlated with the expression levels of OBPs. These results indicated that the transcription levels of OBP genes and CSP genes of BPH upregulated under elevated CO2, improving the host selection behavior of BPH adults at the molecular level. On the one hand, the host selection behavior of BPH responses to elevated CO2 in the future might aggravate the risk of BPH damage. On the other hand, it might provide a theoretical basis for field pest control under climate change.
The emission of VOCs from plants is affected by individual biotic and abiotic stresses, such as insect feeding, CO2 and so on [69]. In this study, thirty-six kinds of VOCs belonging to eight chemical groups were detected from the healthy (CK) and BPH-damaged rice plants, mainly including alkanes, olefins, alcohols, aldehydes, ketones, esters, phenols and aromatic hydrocarbons. Among them, alkanes accounted for more than 87%, which was similar to that detected by Ghaninia and Tabari [70]. We also found that, compared with ambient CO2, elevated CO2 significantly decreased the relative percentage compositions of heptadecane, linalool and limonene from the BPH-damaged rice plants. The relative percentage composition of phenols from the BPH-damaged rice plants was significantly higher than that from the healthy (CK) rice plants under ambient and elevated CO2, respectively. In addition, the relative percentage compositions of linalool, phytol, decanal, 1-methyldecalin and 2,6-diphenylphenol from the BPH-damaged rice plants grown under ambient CO2, and the relative percentage compositions of undecane, hexadecane, nonanal and 2,6-diphenylphenol from the BPH-damaged rice plants grown under elevated CO2 were significantly higher than those from the healthy (CK) rice plants. In comparison, the relative percentage composition of VOCs released from the healthy (CK) rice plants was not affected by the CO2 level. There are species-specific differences in the response of plant VOCs to the CO2 level. Some studies showed that the VOCs’ emission induced by the leaf-chewing herbivores would not be influenced by elevated CO2 [71]. However, other studies indicated that the total release of VOCs from Phaseolus lunatus significantly increased in response to higher CO2 concentration (e.g., Ballhorn et al., 2011) [25]. It was also found that the synthesis of sterols and phytol in the BPH-damaged rice plants was upregulated [72], and the emission of linalool, methyl salicylate and α-zingiberene from the BPH-damaged rice plants was also increased, respectively [73]. Our results also indicated that the host selection of BPH adults was positively correlated with the relative percentage composition of phenols released from rice plants. Meanwhile, the relative percentage composition of 2,6-Diphenylphenol significantly increased under elevated CO2. Based on these results, we speculated that more phenolic volatiles were released from rice plants under elevated CO2, which would attract more BPH. Therefore, we concluded that the emission of VOCs from host plants would be changed, especially after the damage by herbivorous insects, because of the defensive response of plants to the damage of insect pests. Moreover, the change in the emission of host plant VOCs acted as secondary metabolites, due to a shift in the primary and secondary metabolites under elevated CO2, which further repels or attracts herbivorous insects, and finally affects their growth and development by influencing host selection behavior [60,61].

5. Conclusions

In conclusion, this study reported that the BPH have stronger host selection abilities for rice plants under elevated CO2. A subsequent transcription level study revealed the mechanism of host selection behavior. We explored preliminarily the relationship between the host selection behavior of BPH, and the VOCs of healthy and BPH-damaged rice plants grown under ambient and elevated CO2, and found that the phenols play an important role in the selection of rice plants by BPH.

Supplementary Materials

The following supporting information can be downloaded at: https://doi.org/10.6084/m9.figshare.20017538. All original data can be found in it.

Author Contributions

Data curation, Y.W., X.W. and F.C.; Formal Analysis, Y.W. and X.W.; Writing—original draft, Y.W.; Writing—review and editing, Y.W., X.L. and F.C.; Investigation, R.L.; Supervision, R.L. and F.C.; Conceptualization, X.W. and F.C.; Data collection, X.L.; Validation, F.C.; Methodology, F.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by National Natural Science Foundation of China, Grant/Award Number: 31871963 and 31272051.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data obtained in this study has been presented “as is” on at least one of the figures or tables embedded in the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. NOAA: Ed Dlugokencky and Pieter Tans, NOAA/GML. Available online: https://gml.noaa.gov/ccgg/trends/ (accessed on 17 May 2022).
  2. IPCC. Climate Chang. 2013: Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Chang.; Stocker, T.F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.K., Boschung, J., Nauels, A., Xia, Y., Bex, V., Midgley, P.M., Eds.; Cambridge University Press: Cambridge, UK; New York, NY, USA, 2013; 1535p. [Google Scholar]
  3. Heena, R.; Rahul, S. Impact of elevated CO2 and temperature on plant carbon metabolism. Food Sci. Rep. 2020, 1, 25–28. [Google Scholar]
  4. Ainsworth, E.A.; Rogers, A.; Leakey, A.D.B.; Heady, L.E.; Gibon, Y.; Stitt, M.; Schurr, U. Does elevated atmospheric [CO2] alter diurnal C uptake and the balance of C and N metabolites in growing and fully expanded soybean leaves? J. Exp. Bot. 2007, 58, 579–591. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Vicente, R.; Martínez-Carrasco, R.; Pérez, P.; Morcuende, R. New insights into the impacts of elevated CO2, nitrogen, and temperature levels on the regulation of C and N metabolism in durum wheat using network analysis. New Biotechnol. 2018, 40, 192–199. [Google Scholar] [CrossRef] [PubMed]
  6. Wang, C.T.; Sun, Y.; Chen, H.Y.H.; Ruan, H.H. Effects of elevated CO2 on the C:N stoichiometry of plants, soils, and microorganisms in terrestrial ecosystems. Catena 2021, 201, 105219. [Google Scholar] [CrossRef]
  7. Sun, Y.C.; Jing, B.B.; Ge, F. Response of amino acid changes in Aphis gossypii (Glover) to elevated CO2 levels. J. Appl. Entomol. 2009, 133, 189–197. [Google Scholar] [CrossRef]
  8. Lindroth, R.L. Impacts of elevated atmospheric CO2 and O3 on forests: Phytochemistry, trophic interactions, and ecosystem dynamics. J. Chem. Ecol. 2010, 36, 2–21. [Google Scholar] [CrossRef]
  9. Dáder, B.; Fereres, A.; Moreno, A.; TręBicki, P. Elevated CO2 impacts bell pepper growth with consequences to Myzus persicae life history, feeding behaviour and virus transmission ability. Sci. Rep. 2016, 6, 19120. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Vassiliadis, S.; Plummer, K.M.; Powell, K.S.; Trębicki, P.; Luck, J.E.; Rochfort, S.J. The effect of elevated CO2 and virus infection on the primary metabolism of wheat. Funct. Plant Biol. 2016, 43, 892–902. [Google Scholar] [CrossRef]
  11. Teawkul, P.; Hwang, S.Y. Carbon dioxide- and temperature-mediated changes in plant defensive compounds alter food utilization of herbivores. J. Appl. Entomol. 2019, 143, 289–298. [Google Scholar] [CrossRef]
  12. Peñuelas, J.; Estiarte, M. Can elevated CO2 affect secondary metabolism and ecosystem function? Trends Ecol. Evol. 1998, 13, 20–24. [Google Scholar] [CrossRef]
  13. Jamieson, M.A.; Burkle, L.A.; Manson, J.S.; Runyon, J.B.; Trowbridge, A.M.; Zientek, J. Global change effects on plant-insect interactions: The role of phytochemistry. Curr. Opin. Insect Sci. 2017, 23, 70–80. [Google Scholar] [CrossRef] [PubMed]
  14. Stiling, P.; Cattell, M.; Moon, D.C.; Rossi, A.; Drake, B. Elevated atmospheric CO2 lowers herbivore abundance but increases leaf abscission rates. Glob. Chang. Biol. 2010, 8, 658–667. [Google Scholar] [CrossRef]
  15. Zvereva, E.L.; Kozlov, M.V. Consequences of simultaneous elevation of carbon dioxide and temperature for plant–herbivore interactions: A metaanalysis. Glob. Chang. Biol. 2010, 12, 27–41. [Google Scholar] [CrossRef]
  16. Robinson, E.A.; Ryan, G.D.; Newman, J.A. A meta-analytical review of the effects of elevated CO2 on plant-arthropod interactions highlights the importance of interacting environmental and biological variables. New Phytol. 2012, 194, 321–336. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Arimura, G.I.; Kost, C.; Boland, W. Herbivore-induced, indirect plant defences. Biochim. Biophys. Acta 2005, 1734, 91–111. [Google Scholar] [CrossRef] [PubMed]
  18. War, A.R.; Sharma, H.C.; Paulraj, M.G.; War, M.Y. Herbivore induced plant volatiles: Their role in plant defense for pest management. Plant Signal. Behav. 2011, 6, 1973–1978. [Google Scholar] [CrossRef] [Green Version]
  19. Valkama, E.; Koricheva, J.; Oksanen, E. Effects of elevated O3, alone and in combination with elevated CO2, on tree leaf chemistry and insect herbivore performance: A meta-analysis. Glob. Chang. Biol. 2007, 13, 184–201. [Google Scholar] [CrossRef]
  20. Bidart-Bouzat, M.G.; Imeh-Nathaniel, A. Global change effects on plant chemical defenses against insect herbivores. J. Integr. Plant Biol. 2008, 50, 1339–1354. [Google Scholar] [CrossRef]
  21. Mumm, R.; Dicke, M. Variation in natural plant products and the attraction of bodyguards involved in indirect plant defense. Can. J. Zool. 2010, 88, 628–667. [Google Scholar] [CrossRef]
  22. Rosenstiel, T.N.; Potosnak, M.J.; Griffin, K.L.; Fall, R.; Monson, R.K. Increased CO2 uncouples growth from isoprene emission in an agriforest ecosystem. Nature 2003, 421, 256–259. [Google Scholar] [CrossRef]
  23. Monson, R.; Trahan, N.; Rosenstiel, T.N.; Veres, P.; Moore, D.J.; Wilkinson, M.; Norby, R.J.; Volder, A.; Tjoelker, M.G.; Briske, D.D. Isoprene emission from terrestrial ecosystems in response to global change. Philos. Trans. R. Soc. A-Math. Phys. Eng. Sci. 2007, 365, 1677–1695. [Google Scholar] [CrossRef] [PubMed]
  24. Loreto, F.; Fischbach, R.; Schnitzler, J.P.; Ciccioli, P.; Brancaleoni, E.; Calfapietra, C.; Seufert, G. Monoterpene emission and monoterpene synthase activities in the Mediterranean evergreen oak Quercus ilex L. grown at elevated CO2 concentrations. Glob. Chang. Biol. 2001, 7, 709–717. [Google Scholar] [CrossRef]
  25. Ballhorn, D.J.; Reisdorff, C.; Pfanz, H. Quantitative effects of enhanced CO2 on jasmonic acid induced plant volatiles of lima bean (Phaseolus lunatus L.). J. Appl. Bot. Food Qual. 2011, 84, 65–71. [Google Scholar] [CrossRef]
  26. Guerenstein, P.G.; Hildebrand, J.G. Roles and effects of environmental carbon dioxide in insect life. Annu. Rev. Entomol. 2008, 53, 161–178. [Google Scholar] [CrossRef] [PubMed]
  27. Zavala, J.A.; Nabity, P.D.; Delucia, E.H. An emerging understanding of mechanisms governing insect herbivory under elevated CO2. Annu. Rev. Entomol. 2013, 58, 79–97. [Google Scholar] [CrossRef] [Green Version]
  28. Jackson, R.B.; Cook, C.W.; Pippen, J.S.; Palmer, S.M. Increased belowground biomass and soil CO2 fluxes after a decade of carbon dioxide enrichment in a warm-temperate forest. Ecology 2009, 90, 3352–3366. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Hansson, B.S. Olfaction in Lepidoptera. Experientia 1995, 51, 1003–1027. [Google Scholar] [CrossRef]
  30. Dicke, M.; Loon, J. Multitrophic effects of herbivore-induced plant volatiles in an evolutionary context. Entomol. Exp. Appl. 2000, 97, 237–249. [Google Scholar] [CrossRef] [Green Version]
  31. Liu, Z.; Hua, B.Z.; Lu, L. Ultrastructure of the sensilla on larval antennae and mouthparts in the peach fruit moth, Carposina sasakii Matsumura (Lepidoptera: Carposinidae). Micron 2011, 42, 478–483. [Google Scholar] [CrossRef]
  32. Wang, Q.K.; Zhang, M.; Li, K.; Dong, Z. Olfactory sensilla on antennae and maxillary palps of Fannia hirticeps (Stein, 1892) (Diptera: Fanniidae). Microsc. Res. Tech. 2012, 75, 1313–1320. [Google Scholar] [CrossRef] [PubMed]
  33. Chen, Y.; Ulyshen, M.D.; Poland, T.M. Abundance of volatile organic compounds in white ash phloem and emerald ash borer larval frass does not attract Tetrastichus planipennisi in a Y-tube olfactometer. Insect Sci. 2016, 23, 712–719. [Google Scholar] [CrossRef] [PubMed]
  34. Thomas, C.; Faisal, Y.; Claudia, S.; Nicolas, D.; Coppin, C.W.; Gunjan, P.; Oakeshott, J.G.; Martine, M. An antennal carboxylesterase from Drosophila melanogaster, esterase 6, is a candidate odorant-degrading enzyme toward food odorants. Front. Physiol. 2015, 6, 315. [Google Scholar] [CrossRef] [Green Version]
  35. Zhao, J.J.; Zhang, Y.; Fan, D.S.; Feng, J.N. Identification and expression profiling of odorant-binding proteins and chemosensory proteins of Daktulosphaira vitifoliae (Hemiptera: Phylloxeridae). J. Econ. Entomol. 2017, 110, 1812–1820. [Google Scholar] [CrossRef] [PubMed]
  36. Xu, Y.L.; Peng, H.; Lan, Z.; Fang, S.Q.; Li, F. Large-scale identification of odorant-binding proteins and chemosensory proteins from expressed sequence tags in insects. BMC Genom. 2009, 10, 632. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. He, P.; Zhang, J.; Liu, N.Y.; Zhang, Y.N.; Yang, K.; Dong, S.L. Distinct expression profiles and different functions of odorant binding proteins in Nilaparvata lugens Stål. PLoS ONE 2011, 6, e28921. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. He, P.; Zhang, Y.N.; Li, Z.Q.; Yang, K.; Zhu, J.Y.; Liu, S.J.; Dong, S.L. An antennae-enriched carboxylesterase from Spodoptera exigua displays degradation activity in both plant volatiles and female sex pheromones. Insect Mol. Biol. 2014, 23, 475–486. [Google Scholar] [CrossRef]
  39. Sogawa. Windborn displacements of the rice planthoppers related to the seasonal weather patterns in Kyushu district. Bull. Kushu Natl. Agric. Exp. Stn. 1995, 28, 219–278. [Google Scholar] [CrossRef] [Green Version]
  40. Sun, B.; Zhang, L.X.; Yang, L.Z.; Zhang, F.S.; Norse, D.; Zhu, Z. Agricultural non-point source pollution in China: Causes and mitigation measures. Ambio 2012, 41, 370–379. [Google Scholar] [CrossRef] [Green Version]
  41. Zhang, X.; Xu, Q.; Lu, W.; Liu, F. Sublethal effects of four synthetic insecticides on the generalist predator Cyrtorhinus lividipennis. J. Pest Sci. 2015, 88, 383–392. [Google Scholar] [CrossRef]
  42. Khan, Z.R.; Ampong-Nyarko, K.; Chiliswa, P.; Hassanali, A.; Kimani, S.; Lwande, W.; Overholt, W.A.; Picketta, J.A.; Smart, L.E.; Woodcock, C.M. Intercropping increases parasitism of pests. Nature 1997, 388, 631–632. [Google Scholar] [CrossRef]
  43. Pickett, J.A.; Khan, Z.R. Plant volatile-mediated signalling and its application in agriculture: Successes and challenges. New Phytol. 2016, 212, 856–870. [Google Scholar] [CrossRef] [Green Version]
  44. Mastrandrea, M.D.; Mach, K.J.; Plattner, G.K.; Edenhofer, O.; Stocker, T.F.; Field, C.B.; Ebi, K.L.; Matschoss, P.R. The IPCC AR5 guidance note on consistent treatment of uncertainties: A common approach across the working groups. Clim. Chang. 2011, 108, 675. [Google Scholar] [CrossRef] [Green Version]
  45. Singh, S.K.; Badgujar, G.; Reddy, V.R.; Fleisher, D.H.; Bunce, J.A. Carbon dioxide diffusion across stomata and mesophyll and photo-biochemical processes as affected by growth CO2 and phosphorus nutrition in cotton. J. Plant Physiol. 2013, 170, 801–813. [Google Scholar] [CrossRef] [PubMed]
  46. Qian, L.; Liu, X.W.; Huang, Z.J.; Wang, L.; Zhang, Y.F.; Gao, Y.L.; Gui, F.R.; Chen, F.J. Elevated CO2 enhances the host resistance against the western flower thrips, Frankliniella occidentalis, through increased callose deposition. J. Pest Sci. 2019, 94, 55–68. [Google Scholar] [CrossRef]
  47. Qian, L.; Huang, Z.J.; Liu, X.W.; Li, C.X.; Gao, Y.L.; Gui, F.R.; Chang, X.L.; Chen, F.J. Effect of elevated CO2 on interactions between the host plant Phaseolus vulgaris and the invasive western flower thrips, Frankliniella occidentalis. J. Pest Sci. 2021, 94, 43–54. [Google Scholar] [CrossRef]
  48. Kumar, A.; Silim, S.N.; Okamoto, M.; Siddiqi, M.Y.; Glass, A.D.M. Differential expression of three members of the AMT1 gene family encoding putative high-affinity NH4+ transporters in roots of Oryza sativa subspecies indica. Plant Cell Environ. 2003, 26, 907–914. [Google Scholar] [CrossRef]
  49. Waris, M.I.; Younas, A.; Ameen, A.; Rasool, F.; Wang, M.Q. Expression profiles and biochemical analysis of chemosensory protein 3 from Nilaparvata lugens (Hemiptera: Delphacidae). J. Chem. Ecol. 2020, 46, 363–377. [Google Scholar] [CrossRef] [PubMed]
  50. Waris, M.I.; Younas, A.; Ul Qamar, M.T.; Hao, L.; Ameen, A.; Ali, S.; Abdelnabby, H.E.; Zeng, F.F.; Wang, M.Q. Silencing of chemosensory protein gene NlugCSP8 by RNAi induces declining behavioral responses of Nilaparvata lugens. Front. Physiol. 2018, 9, 379. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Waris, M.I.; Younas, A.; Adeel, M.M.; Duan, S.G.; Quershi, S.R.; Kaleem Ullah, R.M.; Wang, M.Q. The role of chemosensory protein 10 in the detection of behaviorally active compounds in brown planthopper, Nilaparvata lugens. Insect Sci. 2020, 27, 531–544. [Google Scholar] [CrossRef]
  52. Zhang, Y.X.; Yang, Y.X.; Sun, H.H.; Liu, Z.W. Metabolic imidacloprid resistance in the brown planthopper, Nilaparvata lugens, relies on multiple P450 enzymes. Insect Biochem. Mol. Biol. 2016, 79, 50–56. [Google Scholar] [CrossRef]
  53. Schmittgen, T.D.; Livak, K.J. Analyzing real-time PCR data by the comparative CT method. Nat. Protoc. 2008, 3, 1101–1108. [Google Scholar] [CrossRef] [PubMed]
  54. Jallow, M.; Zalucki, M. Within and between population variation in host-plant preference and specificity in Australian Helicoverpa Armigera (Hubner) (Lepidoptera: Noctuidae). Aust. J. Zool. 1996, 44, 503–519. [Google Scholar] [CrossRef]
  55. Cao, Y.; Zhi, J.R.; Zhang, R.Z.; Li, C.; Liu, Y.; Lv, Z.Y.; Gao, Y. Different population performances of Frankliniella occidentalis and Thrips hawaiiensis on flowers of two horticultural plants. J. Pest Sci. 2018, 91, 79–91. [Google Scholar] [CrossRef]
  56. Cao, Y.; Li, C.; Yang, H.; Li, J.; Li, S.; Wang, Y.W. Laboratory and field investigation on the orientation of Frankliniella occidentalis (Thysanoptera: Thripidae) to more suitable host plants driven by volatiles and component analysis of volatiles. Pest. Manag. Sci. 2019, 75, 598–606. [Google Scholar] [CrossRef]
  57. Dai, Y.; Wang, M.F.; Jiang, S.L.; Zhang, Y.F.; Parajulee, M.N.; Chen, F.J. Host-selection behavior and physiological mechanisms of the cotton aphid, Aphis gossypii, in response to rising atmospheric carbon dioxide levels. J. Insect Physiol. 2018, 109, 149–156. [Google Scholar] [CrossRef]
  58. Qian, L.; Huang, Z.J.; Liu, H.; Liu, X.W.; Jin, Y.X.; Pokharel, S.S.; Chen, F.J. Elevated CO2-mediated plant VOCs change aggravates invasive thrips occurrence by altering their host-selection behaviour. J. Appl. Entomol. 2021, 145, 777–788. [Google Scholar] [CrossRef]
  59. Hu, X.Y.; Su, S.L.; Liu, Q.S.; Jiao, Y.Y.; Peng, Y.F.; Li, Y.H.; Turlings, T.C.J. Caterpillar-induced rice volatiles provide enemy-free space for the offspring of the brown planthopper. eLife 2020, 9, e55421. [Google Scholar] [CrossRef]
  60. Veyrat, N.; Robert, C.; Turlings, T.; Erb, M.; Deyn, G.D. Herbivore intoxication as a potential primary function of an inducible volatile plant signal. J. Ecol. 2016, 104, 591–600. [Google Scholar] [CrossRef] [Green Version]
  61. Aartsma, Y.; Bianchi, F.; Werf, W.; Poelman, E.H.; Dicke, M. Herbivore-induced plant volatiles and tritrophic interactions across spatial scales. New Phytol. 2017, 216, 1054–1063. [Google Scholar] [CrossRef] [Green Version]
  62. Chapman, R.F. Contact chemoreception in feeding by phytophagous insects. Annu. Rev. Entomol. 2003, 48, 455–484. [Google Scholar] [CrossRef]
  63. Honson, N.S.; Gong, Y.; Plettner, E. Chapter nine-structure and function of insect odorant and pheromone-binding proteins (OBPs and PBPs) and chemosensory-specific proteins (CSPs). Recent Adv. Phytochem. 2005, 39, 227–268. [Google Scholar]
  64. Sachse, S.; Krieger, P. Olfaction in insects. e-Neuroforum 2011, 2, 49–60. [Google Scholar] [CrossRef]
  65. You, L.; Wang, G.L.; Wei, H.Y. Advances in neuron transferring pathways in insects’ olfactory signals. Biol. Disaster Sci. 2012, 35, 7–11. [Google Scholar] [CrossRef]
  66. Hu, Y.Y.; Xu, S.F.; Wubie, A.J.; Li, W.; Guo, Z.B.; Zhou, T. Research advance of olfactory proteins and olfactory mechanism in insects. Genom. Appl. Biol. 2013, 32, 667–676. [Google Scholar]
  67. Li, Z.Q.; Zhang, S.; Luo, J.Y.; Cui, J.J.; Ma, Y.; Dong, S.L. Two minus-C odorant binding proteins from Helicoverpa armigera, display higher ligand binding affinity at acidic pH than neutral pH. J. Insect Physiol. 2013, 59, 263–272. [Google Scholar] [CrossRef]
  68. Pelosi, P.; Zhou, J.J.; Ban, L.P.; Calvello, M. Soluble proteins in insect chemical communication. Cell. Mol. Life Sci. CMLS 2006, 63, 1658–1676. [Google Scholar] [CrossRef]
  69. Holopainen, J.K.; Gershenzon, J. Multiple stress factors and the emission of plant VOCs. Trends Plant Sci. 2010, 15, 176–184. [Google Scholar] [CrossRef] [PubMed]
  70. Ghaninia, M.; Tabari, M.A. Olfactory cues explain differential attraction of the striped rice stem borer to different varieties of rice plant. J. Appl. Entomol. 2016, 140, 376–385. [Google Scholar] [CrossRef]
  71. Vuorinen, T.; Reddy, G.; Nerg, A.M.; Holopainen, J.K. Monoterpene and herbivore-induced emissions from cabbage plants grown at elevated atmospheric CO2 concentration. Atmos. Environ. 2004, 38, 675–682. [Google Scholar] [CrossRef]
  72. Zhang, J.J.; Li, Y.; Guo, J.P.; Du, B.; He, G.C.; Zhang, Y.J.; Chen, R.Z.; Li, J.R. Lipid profiles reveal different responses to brown planthopper infestation for pest susceptible and resistant rice plants. Metabolomics 2018, 14, 120. [Google Scholar] [CrossRef]
  73. Li, C.Z.; Sun, H.; Gao, Q.; Bian, F.Y.; Noman, A.; Xiao, W.H.; Zhou, G.X.; Lou, Y.G. Host plants alter their volatiles to help a solitary egg parasitoid distinguish habitats with parasitized hosts from those without. Plant Cell Environ. 2020, 43, 1740–1750. [Google Scholar] [CrossRef] [PubMed]
Figure 1. The host selection rate (%) of the adults of brown planthopper (BPH), Nilaparvata lugens, for the healthy and BPH-damaged rice plants grown under ambient and elevated CO2. (Note: Different uppercase and lowercase letters indicate significant differences between ambient and elevated CO2 level, and between the healthy (CK) and BPH-damaged rice plants by the independent sample t-test at p < 0.05, respectively).
Figure 1. The host selection rate (%) of the adults of brown planthopper (BPH), Nilaparvata lugens, for the healthy and BPH-damaged rice plants grown under ambient and elevated CO2. (Note: Different uppercase and lowercase letters indicate significant differences between ambient and elevated CO2 level, and between the healthy (CK) and BPH-damaged rice plants by the independent sample t-test at p < 0.05, respectively).
Biology 11 00882 g001
Figure 2. Relative gene expression levels of OBPs (A) and CSPs (B) in the adults of brown planthopper (BPH), N. lugens under ambient and elevated CO2. (Note: Different lowercase letters indicate significant differences between ambient and elevated CO2 level by the independent sample t-test at p < 0.05).
Figure 2. Relative gene expression levels of OBPs (A) and CSPs (B) in the adults of brown planthopper (BPH), N. lugens under ambient and elevated CO2. (Note: Different lowercase letters indicate significant differences between ambient and elevated CO2 level by the independent sample t-test at p < 0.05).
Biology 11 00882 g002
Figure 3. Percentage composition (%) of eight groups of volatile organic compounds (VOCs) from the healthy (CK) and BPH-damaged rice plants grown under ambient and elevated CO2. (Note: BPH -Brown planthopper, Nilaparvata lugens; Different uppercase and lowercase letters indicate significant differences between ambient and elevated CO2 level, and between the healthy (CK) and BPH-damaged rice plants by the independent sample t-test at p < 0.05, respectively. The same is true in the following Figure 4).
Figure 3. Percentage composition (%) of eight groups of volatile organic compounds (VOCs) from the healthy (CK) and BPH-damaged rice plants grown under ambient and elevated CO2. (Note: BPH -Brown planthopper, Nilaparvata lugens; Different uppercase and lowercase letters indicate significant differences between ambient and elevated CO2 level, and between the healthy (CK) and BPH-damaged rice plants by the independent sample t-test at p < 0.05, respectively. The same is true in the following Figure 4).
Biology 11 00882 g003
Figure 4. Percentage composition (%) of thirty-six kinds of volatile organic compounds (VOCs) in the healthy (CK) and BPH-damaged rice plants grown under ambient and elevated CO2.
Figure 4. Percentage composition (%) of thirty-six kinds of volatile organic compounds (VOCs) in the healthy (CK) and BPH-damaged rice plants grown under ambient and elevated CO2.
Biology 11 00882 g004
Figure 5. The Pearson analysis of the correlation among the host selection rate, the expression levels of OBPs and CSPs in N. lugens adults and the relative percentage compositions of the measured eight groups of volatile organic compounds (VOCs) from rice plants. (Note: The scale color of the filled squares indicates the strength of the correlation (r) and whether it is negative (blue) or positive (red). The correlation is stronger when the number corresponding to the color and size of circles is closer to 1 or −1.).
Figure 5. The Pearson analysis of the correlation among the host selection rate, the expression levels of OBPs and CSPs in N. lugens adults and the relative percentage compositions of the measured eight groups of volatile organic compounds (VOCs) from rice plants. (Note: The scale color of the filled squares indicates the strength of the correlation (r) and whether it is negative (blue) or positive (red). The correlation is stronger when the number corresponding to the color and size of circles is closer to 1 or −1.).
Biology 11 00882 g005
Table 1. QRT-PCR primers for the odorant-binding protein genes (OPB1, OBP2 and OBP3), chemoreceptor protein genes (CSP3, CSP8 and CSP10) and internal reference genes (Nlβ-Actin and Nlug-Actin) of brown planthopper (BPH), Nilaparvata lugens.
Table 1. QRT-PCR primers for the odorant-binding protein genes (OPB1, OBP2 and OBP3), chemoreceptor protein genes (CSP3, CSP8 and CSP10) and internal reference genes (Nlβ-Actin and Nlug-Actin) of brown planthopper (BPH), Nilaparvata lugens.
PrimerSequence (5′-3′)Description
NlugOBP1-FTTTGGCACAGAAACGATTTGGAGOdorant-binding protein gene (OBPs)
NlugOBP1-RCATTGGGCACTTGTCTTTGGAG
NlugOBP2-FCATCAAGAGTGTACCAGAAGGAGAC
NlugOBP2-RAATCATCAGTTCATACCAGCAAGC
NlugOBP3-FAAGCCACTGACGAGGATGTAATG
NlugOBP3-RTTCACACCTTCCAAGTTGAGATTCTG
NlugCSP3-FTGATTGTGGTCGCGTTTGGAChemosensory protein gene (CSPs)
NlugCSP3-RTAGGGCGTCCGGTATTGTTG
NlugCSP8-FTTTTGTGGCGGTTTTGTGCT
NlugCSP8-RCCACCCATCAGGCACTTGAA
NlugCSP10-FAGCTCTGAAAGCCGGACTAC
NlugCSP10-RATGAACGCTTTGATGTGGGG
Nlβ-Actin-FACTCCGGTGATGGTGTCTCTReference genes
Nlβ-Actin-RGTCGGTCAAGTCACGACCA
Nlug-Actin-FTCAACCCAAAGGCCAACC
Nlug-Actin-RCACCGGAGTCAAGCACGATA
Table 2. Two-way ANOVAs on the effects of CO2 level (ambient CO2 versus elevated CO2), damaged treatment (no damage (i.e., healthy) rice plants versus BPH-damaged rice plants) and their interaction on the host-selection rate of brown planthopper (BPH) N. lugens, and on the percent of eight groups of volatile organic compounds (VOCs) from the healthy (CK) and BPH-damaged rice plants grown under ambient and elevated CO2; and one-way ANOVA on the effects of the CO2 level on the transcript expression of OBP and CSP genes of N. lugens adults fed on rice plants grown under ambient and elevated CO2 (F/p values).
Table 2. Two-way ANOVAs on the effects of CO2 level (ambient CO2 versus elevated CO2), damaged treatment (no damage (i.e., healthy) rice plants versus BPH-damaged rice plants) and their interaction on the host-selection rate of brown planthopper (BPH) N. lugens, and on the percent of eight groups of volatile organic compounds (VOCs) from the healthy (CK) and BPH-damaged rice plants grown under ambient and elevated CO2; and one-way ANOVA on the effects of the CO2 level on the transcript expression of OBP and CSP genes of N. lugens adults fed on rice plants grown under ambient and elevated CO2 (F/p values).
IndexesCO2 Level (CO2)BPH-Damaged TreatmentCO2 × BPH-Damaged Treatment
Host-selection rate (%)22.022/<0.001 ***1.011/0.3274.045/0.058
Odorant-binding proteins (OBPs)OBP112.045/0.003 **//
OBP216.679/<0.001 ***//
OBP30.052/0.823//
Chemosensory proteins (CSPs)CSP30.042/0.840//
CSP89.462/0.007 **//
CSP101.844/0.193//
Volatile organic compounds (VOCs) Alkane0.445/0.5243.783/0.0882.480/0.154
Alcohols0.009/0.9260.468/0.5130.607/0.459
Alkenes9.195/0.016 *0.687/0.4315.160/0.053
Ketones0.050/0.8290.116/0.7420.243/0.635
Aldehydes0.042/0.8443.992/0.0810.156/0.703
Esters0.002/0.9649.069/0.017 *0.249/0.631
Aromatic hydrocarbons0.203/0.6646.917/0.030 *1.404/0.27
Phenols1.914/0.20427.186/<0.001 ***7.912/0.023 *
* p < 0.05, ** p < 0.01, *** p < 0.001.
Table 3. Two-way ANOVAs on the effects of CO2 level (ambient CO2 versus elevated CO2), damaged treatment and their interaction on the percent of each kind of volatile organic compounds (VOCs) from the healthy (CK) and BPH-damaged rice plants grown under ambient and elevated CO2 (F/p values).
Table 3. Two-way ANOVAs on the effects of CO2 level (ambient CO2 versus elevated CO2), damaged treatment and their interaction on the percent of each kind of volatile organic compounds (VOCs) from the healthy (CK) and BPH-damaged rice plants grown under ambient and elevated CO2 (F/p values).
Volatile TypesVOCsCO2BPH-DamagedCO2 × BPH-Damaged
AlkaneUndecane0.011/0.9214.515/0.0660.044/0.839
Tridecane0.932/0.3632.022/0.1930.348/0.572
Pentadecane0.170/0.6910.336/0.5780.477/0.509
Hexadecane0.358/0.56610.462/0.012 *0.357/0.567
Heptadecane1.670/0.2320.021/0.88810.157/0.013 *
Octadecane0.203/0.6640.164/0.6960.510/0.495
Icosane0.491/0.5042.573/0.1472.515/0.151
Tetracosane0.023/0.8840.203/0.6641.505/0.255
Heptacosane0.000/0.9950.011/0.9200.983/0.350
5-Ethyl-2,2,3-trimethylheptane0.302/0.5980.852/0.3830.137/0.721
2,4,6-Trimethyldecane0.946/0.3590.000/1.0000.447/0.523
4,7-Dimethylundecane0.037/0.8522.039/0.1910.156/0.703
2,6-Dimethylundecane0.001/0.9750.207/0.6610.067/0.803
3-Methyltetradecane0.907/0.3690.992/0.3480.920/0.366
4-Methylpentadecane1.074/0.3300.260/0.6241.929/0.202
2,6,8-Trimethyldecane0.003/0.9560.111/0.7480.597/0.462
2,6-Dimethylheptadecane0.294/0.6030.016/0.9021.842/0.212
4-Methylnonadecane0.013/0.9120.040/0.8470.114/0.744
AlcoholsLinalool21.416/0.002 **6.098/0.039 *9.206/0.016 *
Trans-2-Undecen-1-ol0.333/0.5800.858/0.3810.008/0.929
Falcarinol1.482/0.2580.686/0.4320.035/0.855
2-Hexyl-1-decanol0.000/0.9920.136/0.7210.061/0.811
Phytol0.411/0.5390.612/0.4571.691/0.230
Hexacosan-1-ol0.689/0.4310.082/0.7810.418/0.536
1-Eicosanol0.531/0.4870.383/0.5530.894/0.372
AlkenesLimonene12.893/0.007 **1.758/0.2227.430/0.026 *
Myrcene0.076/0.7890.537/0.4851.769/0.220
1-Docosene0.171/0.6900.288/0.6060.456/0.518
Ketones2-Dodecanone0.050/0.8290.116/0.7420.243/0.635
AldehydeNonanal0.011/0.91810.012/0.013 *0.105/0.754
Decanal0.164/0.6964.718/0.0620.056/0.819
(Z)-9-Tetradecenal0.045/0.8380.421/0.5350.836/0.387
EstersMethyl cis-9,10-epoxystearate0.003/0.9559.180/0.016 *0.275/0.614
Aromatic hydrocarbon1-Methyldecalin2.165/0.1793.262/0.1094.603/0.064
2-Methyltetralin0.298/0.6003.136/0.1150.031/0.865
Phenols2,6-Diphenylphenol1.914/0.20427.186/<0.001 ***7.912/0.023 *
BPH-Brown planthopper, N. lugens; * p < 0.05, ** p < 0.01, *** p < 0.001.
Table 4. Composition and percentage (%) of the volatile organic compounds (VOCs) from the healthy (CK) and BPH-damaged rice plants grown under ambient and elevated CO2.
Table 4. Composition and percentage (%) of the volatile organic compounds (VOCs) from the healthy (CK) and BPH-damaged rice plants grown under ambient and elevated CO2.
Volatile TypesVOCsHealthy (CK) Rice PlantsBPH-Damaged Rice Plants
Ambient CO2Elevated CO2Ambient CO2Elevated CO2
AlkaneUndecane16.61 ± 1.1216.43 ± 0.10b17.72 ± 0.1817.78 ± 0.21a
Tridecane21.51 ± 0.6921.70 ± 0.4821.94 ± 0.6422.76 ± 0.04
Pentadecane6.83 ± 0.096.68 ± 0.036.81 ± 0.196.85 ± 0.16
Hexadecane3.78 ± 0.103.78 ± 0.05b3.95 ± 0.044.03 ± 0.04a
Heptadecane8.47 ± 0.039.26 ± 0.349.06 ± 0.08A8.72 ± 0.02B
Octadecane2.47 ± 0.172.36 ± 0.012.37 ± 0.052.39 ± 0.01
Icosane10.58 ± 0.419.84 ± 0.469.55 ± 0.139.84 ± 0.14
Tetracosane4.84 ± 0.314.47 ± 0.234.40 ± 0.284.68 ± 0.23
Heptacosane3.61 ± 0.293.37 ± 0.313.40 ± 0.163.64 ± 0.18
5-Ethyl-2,2,3-trimethylheptane0.19 ± 0.010.20 ± 0.020.21 ± 0.010.21 ± 0.02
2,4,6-Trimethyldecane0.21 ± 0.010.21 ± 0.010.22 ± 0.000.21 ± 0.00
4,7-Dimethylundecane0.94 ± 0.110.96 ± 0.021.07 ± 0.031.03 ± 0.09
2,6-Dimethylundecane0.53 ± 0.030.52 ± 0.010.53 ± 0.020.54 ± 0.01
3-Methyltetradecane0.63 ± 0.001.14 ± 0.530.62 ± 0.020.62 ± 0.02
4-Methylpentadecane0.83 ± 0.050.75 ± 0.010.77 ± 0.040.78 ± 0.02
2,6,8-Trimethyldecane2.26 ± 0.212.19 ± 0.032.14 ± 0.062.23 ± 0.04
2,6-Dimethylheptadecane3.19 ± 0.232.94 ± 0.083.03 ± 0.083.14 ± 0.08
4-Methylnonadecane0.42 ± 0.050.41 ± 0.060.39 ± 0.030.41 ± 0.03
AlcoholsLinalool0.19 ± 0.003b0.17 ± 0.010.23 ± 0.00Aa0.17 ± 0.01B
Trans-2-Undecen-1-ol0.29 ± 0.010.29 ± 0.010.30 ± 0.010.30 ± 0.01
Falcarinol0.59 ± 0.070.52 ± 0.020.65 ± 0.080.56 ± 0.06
2-Hexyl-1-decanol1.28 ± 0.191.26 ± 0.061.22 ± 0.021.25 ± 0.02
Phytol0.37 ± 0.07b0.87 ± 0.220.91 ± 0.10a0.74 ± 0.45
Hexacosan-1-ol1.24 ± 0.061.16 ± 0.091.22 ± 0.041.21 ± 0.02
1-Eicosanol0.83 ± 0.060.76 ± 0.050.76 ± 0.040.77 ± 0.01
AlkenesLimonene0.78 ± 0.190.67 ± 0.151.30 ± 0.08A0.49 ± 0.02B
Myrcene0.16 ± 0.030.18 ± 0.030.17 ± 0.030.13 ± 0.02
1-Docosene0.67 ± 0.050.63 ± 0.040.63 ± 0.020.64 ± 0.03
Ketones2-Dodecanone0.12 ± 0.030.13 ± 0.020.13 ± 0.020.11 ± 0.03
AldehydeNonanal0.44 ± 0.030.42 ± 0.00b0.56 ± 0.080.57 ± 0.03a
Decanal0.18 ± 0.02b0.20 ± 0.060.26 ± 0.02a0.27 ± 0.02
(Z)-9-Tetradecenal0.72 ± 0.070.77 ± 0.020.73 ± 0.030.70 ± 0.06
EstersMethyl cis-9,10-epoxystearate3.05 ± 0.883.48 ± 1.041.21 ± 0.550.87 ± 0.04
Aromatic hydrocarbon1-Methyldecalin0.29 ± 0.01b0.33 ± 0.010.33 ± 0.01a0.32 ± 0.01
2-Methyltetralin0.34 ± 0.020.33 ± 0.020.36 ± 0.010.36 ± 0.00
Phenols2,6-Diphenylphenol0.55 ± 0.02b0.61 ± 0.02b0.85 ± 0.07a0.69 ± 0.01a
BPH-Brown planthopper, N. lugens; Different uppercase and lowercase letters indicate significant difference between ambient and elevated CO2, and between CK and BPH-damaged by the independent sample t test at p < 0.05.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Wang, Y.; Li, R.; Wang, X.; Liu, X.; Chen, F. Elevated CO2 Altered Rice VOCs Aggravate Population Occurrence of Brown Planthoppers by Improving Host Selection Ability. Biology 2022, 11, 882. https://doi.org/10.3390/biology11060882

AMA Style

Wang Y, Li R, Wang X, Liu X, Chen F. Elevated CO2 Altered Rice VOCs Aggravate Population Occurrence of Brown Planthoppers by Improving Host Selection Ability. Biology. 2022; 11(6):882. https://doi.org/10.3390/biology11060882

Chicago/Turabian Style

Wang, Yanhui, Runzhao Li, Xiaohui Wang, Xiaowei Liu, and Fajun Chen. 2022. "Elevated CO2 Altered Rice VOCs Aggravate Population Occurrence of Brown Planthoppers by Improving Host Selection Ability" Biology 11, no. 6: 882. https://doi.org/10.3390/biology11060882

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop