Abstract
Anthropogenic sound has increased significantly in the past decade. However, only a few studies to date have investigated its effects on marine bivalves, with little known about the underlying physiological and molecular mechanisms. In the present study, the effects of different types, frequencies, and intensities of anthropogenic sounds on the digging behavior of razor clams (Sinonovacula constricta) were investigated. The results showed that variations in sound intensity induced deeper digging. Furthermore, anthropogenic sound exposure led to an alteration in the O:N ratios and the expression of ten metabolism-related genes from the glycolysis, fatty acid biosynthesis, tryptophan metabolism, and Tricarboxylic Acid Cycle (TCA cycle) pathways. Expression of all genes under investigation was induced upon exposure to anthropogenic sound at ~80 dB re 1 μPa and repressed at ~100 dB re 1 μPa sound. In addition, the activity of Ca2+/Mg2+-ATPase in the feet tissues, which is directly related to muscular contraction and subsequently to digging behavior, was also found to be affected by anthropogenic sound intensity. The findings suggest that sound may be perceived by bivalves as changes in the water particle motion and lead to the subsequent reactions detected in razor clams.
Anthropogenic sounds generated by large cargo ships, seismic surveys, drilling and pile drivers, recreational holiday boats, and offshore constructions have significantly increased in the past decade1,2,3,4,5,6, creating a new type of pollution—ocean noise—which affects marine organisms inhabiting coastal areas and the open sea. In comparison to other environmental pollutions, ocean noise is regarded as more hazardous, owing to its universal and uncontrollable characteristics7. Since marine organisms utilize sound intensively to obtain information about their surrounding environments, noise pollution poses considerable hindrances to intra-specific and inter-specific communication, orientation, mate searching, predator/prey detection, and object identification through acoustic perception8,9,10,11. To date, a wide variety of marine organisms, including invertebrates, fish, and marine mammals has been reported to be affected by anthropogenic sound12,13,14. Moreover, the impact of sounds on marine organisms has been shown to be variable and species-specific. Anthropogenic sound may result in no effect15, temporary/permanent shifts in hearing threshold or auditory masking5,8,16,17, individual and social behavior alteration9,18,19,20, physiological damage to sensory organs10,21,22,23, altering body metabolisms4,24,25, hampering embryogenesis12 and even immediate death26. Although numerous studies have investigated the effects of anthropogenic sound on marine organisms such as fish and mammals, to the best of our knowledge, only a few have been performed on mollusk species20,21,22, especially marine bivalves12, putting a constraint on a more comprehensive understanding of ocean noise pollution. Furthermore, the underlying molecular mechanisms remain unclear for many organisms, such as bivalves.
The razor clam Sinonovacula constricta (Lamarck, 1818) is an important aquaculture species that is widely distributed in the estuaries and intertidal zones of China, Japan, and Korea27,28,29. As a typical bottom-burrowing bivalve, the slender-shaped razor clam has a muscular foot, a light-weight shell, and two vimineous siphons that are adapted to a digging lifestyle. Digging and hiding are crucial in helping S. constricta to avoid predators and harsh environments. Furthermore, alterations in digging behavior pose a significant impact on the razor clam aquaculture industry since an increase in digging depth of the organism will increase harvest workload. Digging behavior is the direct result of foot muscular movement and is closely linked to the biological energy supply of the muscle30. The supply of movement energy is mainly provided through the glycolysis pathway and TCA cycle30. However, the present knowledge of S. constricta is mainly limited to its ecological traits31,32,33, nutritional content34, cultivation techniques35,36, and genetic background37,38,39,40,41,42. The effects of anthropogenic sounds on the digging behavior and the underlying mechanisms remain elusive.
The main objectives of the present study were to: 1) explore if anthropogenic sounds affect the digging behavior of the razor clam; 2) find out whether sound type, frequency, and/or intensity contribute to the changes detected in digging behavior; 3) investigate the effects of anthropogenic sounds on the metabolism of the razor clam; and 4) identify genes associated with the altered digging behavior in response to sound changes.
Results
Acoustic conditions in seawater
As shown in Table 1, due to sound reflection and mud absorption43, the intensities of experimental sounds were significantly lower in the sediment than that at the interface between seawater and the sediment. With the same sound source, there was no significant difference found in the sound intensity at different distances (5, 15, 25cm), taken from the center of the concentric circle vertically below the sound source.
Table 1. The acoustic conditions in the experimental setup in the sediment and at the interface between seawater and sediment (data were presented as means and 1st quartile to 3rd quartile of the data in the parentheses, and different superscripts indicate significant differences between trials by Tukey’s test).
Sound level measured in air | Hydrophone position in the experimental setup |
Underwater sound intensities at distances to the center of the concentric circle of the sediment (dB re 1 μPa) |
||
---|---|---|---|---|
5 cm | 15 cm | 25 cm | ||
Control ~50dB re 20 μPa | Interface between water and sediment | 63.19a (61.91~64.41) | 62.22a (60.96~63.42) | 61.67a (60.43~62.86) |
In the sediment | 56.13b (55.01~57.40) | 55.51b (53.91~57.68) | 54.71b (53.12~55.76) | |
1000Hz~100dB re 20 μPa | Interface between water and sediment | 95.55a (86.79~101.54) | 94.74a (85.71~~100.89) | 93.62a (83.86~100.60) |
In the sediment | 87.35b (78.21~94.41) | 85.63b (77.67~89.86) | 86.93b (78.45~92.32) | |
1000Hz~80dB re 20 μPa | Interface between water and sediment | 87.09a (82.59~88.49) | 85.43a (82.08~86.97) | 82.15a (79.91~82.64) |
In the sediment | 77.92b (76.54~79.44) | 77.6504b (76.28~79.21) | 77.8985b (76.38~79.11) | |
500Hz~100dB re 20 μPa | Interface between water and sediment | 100.87a (92.77~107.05) | 100.16a (92.19~106.54) | 96.36a (89.04~103.39) |
In the sediment | 85.30b (79.12~89.49) | 84.94b (78.91~89.47) | 83.5212b (78.55~85.99) | |
500Hz~80dB re 20 μPa | Interface between water and sediment | 86.36a (84.09~86.56) | 82.19a (80.29~82.93) | 82.69a (79.09~84.48) |
In the sediment | 77.48b (75.91~78.92) | 77.46b (75.94~78.95) | 78.59b (77.28~79.16) | |
White noise ~100dB re 20 μPa | Interface between water and sediment | 103.25a (94.96~109.57) | 102.45a (94.30~108.97) | 102.21a (94.45~108.67) |
In the sediment | 88.82b (82.34~93.18) | 88.34b (81.94~93.18) | 87.86b (81.49~92.17) | |
White noise ~80dB re 20 μPa | Interface between water and sediment | 92.20a (90.34~96.73) | 91.69a (89.84~96.19) | 91.17a (89.33~95.65) |
In the sediment | 83.09b (81.42~84.64) | 84.03b (82.33~85.59) | 84.96b (83.24~85.78) |
Effects of sound type, frequency, and intensity on the digging behavior of razor clams
As shown in Fig. 1 and Table 2, the digging depths of the razor clams exposed to the 500 Hz sine wave (aeration background noise plus anthropogenic sine wave sound input) were not significantly different from those exposed to 1000 Hz of the same sound type. P values were 0.21 and 0.96 from the ANOVA for the ~80 dB re 1 μPa and ~100 dB re 1 μPa trials, respectively. Similarly, the digging behavior was not affected much by various anthropogenic input sound types, where no significant difference in digging depths was detected between the “white noise” (broad frequency sound generated with anthropogenic white noise input) and sine wave sound input groups, with trials carried out at the same underwater sound intensity. Interestingly, the three sound intensities tested led to a significant difference in the digging depths (p < 0.05) of the clams. Generally, digging depth increased with underwater sound intensity. The digging depths of razor clams exposed to anthropogenic sound of “white noise”, 500 Hz sine wave, and 1000 Hz sine wave at ~80 dB re 1 μPa were 1.05, 1.05, and 1.13 times deeper respectively than those exposed to the control (~60 dB re 1 μPa of ambient aeration noise). When the underwater sound intensity was increased to ~100 dB re 1 μPa, the digging depths of razor clams exposed to anthropogenic sound of “white noise”, 500 Hz sine wave, and 1000 Hz sine wave were 1.20, 1.15, and 1.14 times deeper, respectively, than those exposed to the control. These results indicated that the digging behavior of the razor clams was significantly affected by underwater sound intensity.
Table 2. Digging depths of razor clams after 24-hours’ exposure to underwater sounds of different types, frequencies, and intensities (ANOVA).
Comparison purposes | df | SS | MS | F-ratio | p-value |
---|---|---|---|---|---|
a. Comparisons between different anthropogenic input sound frequencies | |||||
1) 500 Hz vs 1000 Hz sine wave at ~80 dB re 1 μPa | |||||
Model | 1 | 7.96 | 7.96 | 1.63 | 0.21 |
Error | 76 | 370.90 | 4.88 | ||
Total | 77 | 378.86 | |||
2) 500 Hz vs 1000 Hz sine wave at ~100 dB re 1 μPa | |||||
Model | 1 | 0.01 | 0.01 | 2.29E-3 | 0.96 |
Error | 76 | 306.97 | 4.04 | ||
Total | 77 | 306.98 | |||
b. Comparisons between different anthropogenic input sound types | |||||
1) “White noise” vs 500 Hz sine wave at ~80 dB re 1 μPa | |||||
Model | 1 | 9.35E-4 | 9.35E-4 | 1.95E-4 | 0.99 |
Error | 76 | 363.45 | 4.78 | ||
Total | 77 | 363.45 | |||
2) “White noise” vs 500 Hz sine wave at ~100 dB re 1 μPa | |||||
Model | 1 | 4.84 | 4.84 | 1.00 | 0.32 |
Error | 76 | 366.10 | 4.82 | ||
Total | 77 | 370.94 | |||
3) “White noise” vs 1000 Hz sine wave at ~80 dB re 1 μPa | |||||
Model | 1 | 7.79 | 7.79 | 1.37 | 0.25 |
Error | 76 | 432.54 | 5.69 | ||
Total | 77 | 440.33 | |||
4) “White noise” vs 1000 Hz sine wave at ~100 dB re 1 μPa | |||||
Model | 1 | 5.27 | 5.27 | 1.09 | 0.30 |
Error | 76 | 367.96 | 4.84 | ||
Total | 77 | 373.22 | |||
c. Comparisons among different underwater sound intensities | |||||
1) Control vs ~80 dB re 1 μPa vs ~100 dB re 1 μPa “white noise” | |||||
Model | 2 | 64.24 | 32.12 | 5.52 | 0.005 |
Error | 114 | 662.73 | 5.81 | ||
Total | 116 | 726.97 | |||
2) Control vs ~80 dB re 1 μPa vs ~100 dB re 1 μPa 500Hz sine wave | |||||
Model | 2 | 31.45 | 15.72 | 3.32 | 0.04 |
Error | 114 | 540.10 | 4.74 | ||
Total | 116 | 571.55 | |||
3) Control vs ~80 dB re 1 μPa vs ~100 dB re 1 μPa 1000Hz sine wave | |||||
Model | 2 | 35.91 | 17.95 | 3.35 | 0.04 |
Error | 114 | 611.05 | 5.36 | ||
Total | 116 | 646.95 |
Effects of anthropogenic sound exposures on oxygen consumption, ammonia excretion, O:N ratio, and Ca2+/Mg2+ ATPase activity of razor clams
The oxygen consumption rates, ammonium excretion rates, and O:N ratios of razor clams exposed to the ambient aeration sound (control) or to ~80 dB re 1 μPa or ~100 dB re 1 μPa of “white noise” for one week were listed in Table 3. Results from ANOVA showed that while both the rates of oxygen consumption and ammonia excretion were not significantly different among trials, the O:N ratios were significantly affected by underwater sound intensity. The highest and lowest O:N ratios were detected in the samples exposed to the ~80 dB re 1 μPa and ~100 dB re 1 μPa of underwater sound respectively.
Table 3. Oxygen consumption rates, ammonium excretion rates, and O:N ratios of Sinonovacula constricta after one week of exposure to the ambient control, ~80 or ~100 dB re 1 μPa of underwater sounds (mean ± SE) (Different superscripts indicate significant differences between trials by Tukey’s test).
Measurements |
Experimental trials |
p-value | ||
---|---|---|---|---|
Ambient control | ~80dB re 1 μPa | ~100dB re 1 μPa | ||
oxygen consumption rate (mg/g·h) | 0.88 ± 0.08 | 1.04 ± 0.06 | 0.89 ± 0.06 | 0.21 |
ammonium excretion rate (μmol/g·h) | 8.63 ± 1.02 | 9.28 ± 0.75 | 9.99 ± 0.83 | 0.56 |
O:N ratio | 6.51 ± 0.13ab | 7.40 ± 0.19a | 5.72 ± 0.37b | 0.01 |
As shown in Fig. 2, the intensity of exposed sound exerted a significant effect on the activity of Ca2+/Mg2+-ATPase, with the highest (8.97 ± 0.49 U/mg protein) and lowest activity (2.95 ± 0.56 U/mg protein) observed in clams exposed to ~80 dB re 1 μPa and ~100 dB re 1 μPa of underwater sound, respectively.
Effects of sound exposures on the relative expression of metabolic genes
As shown in Fig. 3a,b, the 6-phosphofructokinase-1 and pyruvate kinase genes, both function in the glycolysis pathway, showed similar relative gene expression patterns. In clams exposed to ~80 dB re 1 μPa of underwater sound, both genes showed significantly higher expression than those of control or exposed to ~100 dB re 1 μPa of sound. Between the groups exposed to quiet ambient sound or ~100 dB re 1 μPa of sound, gene expression was found to be higher in clams exposed to quiet ambient sound, but the difference was not statistically significant.
The relative expression of acetyl-CoA carboxylase and arylformamidase genes in the fatty acid biosynthesis and tryptophan metabolism pathways showed a similar trend (Fig. 3c,d) as well. The only difference was found in a lower relative expression of the arylformamidase gene in clams exposed to the quiet ambient sound, albeit not significant when compared to that in the clams exposed to ~100 dB re 1 μPa of underwater sound.
All six genes in the TCA cycle (Fig. 4) displayed similar relative expression patterns, where highest values were detected in clams exposed to ~80 dB re 1 μPa of sound. Relative gene expression was significantly lower in clams exposed to ~100 dB re 1 μPa of sound than those of the control, with the exception of the oxoglutarate dehydrogenase gene.
Discussion
Theoretically, in the far field of an acoustic source, the pressure (p) and velocity components (v) are related as p = v × z, where z is the parameter that indicates the impedance of the medium12. Therefore, with the same sound type and frequency, higher intensity sound, such as the ~80 re 1 μPa and ~100 dB re 1 μPa of underwater sound tested in the present study, will give rise to a more intense particle motion and subsequently lead to a higher sound pressure level in the seawater. Though sensory hearing has not been reported in bivalve species, both the mantle and gills of a bivalve possess sensory palps that are sensitive to environmental disturbances such as water proton movement. In S. constricta, in addition to the mantle and gills, foot, exhalent siphon, inhalant siphon, and the palps around these organs are sensitive to the motion of surrounding water as well. Few studies have suggested that sound may exert influences on the embryonic development and settlement of marine bivalves12,44,45. With field experiments, it has been shown that the addition of replayed habitat-related sounds significantly increased the settlement of free-swimming larvae of the eastern oyster (Crassostrea virginica), compared to no-sound controls44,45. Whereas a laboratory study carried out in New Zealand scallop (Pecten novaezelandiae) has shown that the noise generated by a seismic air gun significantly increased the percentage of body malformations and retarded the growth and development of the larvae12, probably owing to the increase in sound pressure. Similarly, the variations detected in the present study in digging behavior, metabolism, and expression of metabolic genes in response to noise exposure at different intensities could attribute to the changes in water particle motion as well.
The digging behavior of the razor clam, a bottom burrower that lives in the intertidal zone, is an adaptation to its surroundings and is closely related to water movement. With alterations in the ebb and flow, the razor clam exhibits corresponding digging or emerging behaviors. Importantly, the digging behavior of the razor clam is closely related to its metabolism status. On the one hand, as a result of muscular movement of the foot, digging, or emerging behavior is an energy-consuming process that relies on the energy produced through pathways such as glycolysis and the TCA cycle. On the other hand, digging behavior is associated with active feeding because shallow digging increases the contact with oxygen and food supplies in seawater, albeit accompanied by an increased risk of encountering predators and environmental stressors.
In the present study, exposure to the intensified ~100 dB re 1 μPa of underwater sound induced an avoidance response in the razor clams, resulting in a significantly more active digging activity. Similar to other environmental stressors such as unfavorable temperature, salinity, and pH, exposure to ~100 dB re 1 μPa of underwater sound also led to a significant decrease in the O:N ratio, indicating a higher rate of protein catabolism relative to lipid and carbohydrate catabolism31,32. This observation may be due to the reduction in oxygen availability associated with deeper digging, a behavior that may occur in response to stress, as previously reported in other species46,47. When razor clams were exposed to the intensified ~100 dB re 1 μPa of underwater sound, the expression of all tested genes from the glycolysis48, fatty acid biosynthesis49, tryptophan metabolism50,51, and TCA cycle52,53 pathways were repressed, suggesting a slowing of metabolic activity as the individual retreat deeper into the mud. To give a brief summary, the intensified water particle movement brought about by ~100 dB re 1 μPa of underwater sound rendered the clams digging deeper into the mud and entering an inactive state, as a means to avoid environmental disturbance.
Unlike the ambient aeration sound from indoor cultivation and the ~100 dB re 1 μPa of underwater sound, the ~80 dB re 1 μPa of sound rendered the clams more active, as indicated by the significantly higher O:N ratio46,47,54 and increased expression of genes from the glycolysis48, fatty acid biosynthesis49, tryptophan metabolism50,51, and TCA cycle pathways52,53. Anthropogenic sound at ~80 dB re 1 μPa is comparable to the natural ambient sound level in the intertidal zone when the bottom substrates are covered by seawater55,56. Therefore, exposure to ~80 dB re 1 μPa of broad frequency underwater sound probably created a similar water particle movement condition indicating high food and oxygen availability for razor clams and subsequently induced shallow digging behavior for feeding. The expression of genes involved in glycolysis and the TCA cycle in clams exposed to ~80 dB re 1 μPa of underwater sound was in accordance with the O:N data obtained, which was significantly higher than those in clams exposed to ambient control and ~100 dB re 1 μPa of intensified underwater sound. Upon activation by ~80 dB re 1 μPa of underwater sound, the clams exhibited more catabolism of carbohydrates and lipids relative to protein to meet the new energy demands associated with the induced active feeding behavior. Similarly, as tryptophan catabolism will produce a series of biologically active substances that play important roles in physiological metabolism51,57, the arylformamidase gene in the tryptophan catabolism pathway was found to be activated. The increase in active feeding behavior also triggered the storage of energy as fatty acids, which was indicated by a significantly higher expression of the acetyl-CoA carboxylase gene from the fatty acid synthesis pathway49.
Less digging depth was observed when razor clams were exposed to the relatively quiet ambient aeration sound. This indoor cultivation sound was quieter than the natural ambient sound in the intertidal zone. As discussed above, sound is probably perceived by bivalve species as a variation in water particle movement, which delivers information about the magnification of flow or tides. Therefore, less digging was probably exhibited because the quiet ambient sound was regarded as “risk-free” by the individual razor clams. Moreover, the mild water particle movement driven by the quiet ambient sound neither activated nor inhibited the metabolism of the razor clams, which was observed with the ~80 dB re 1 μPa and ~100 dB re 1 μPa underwater sound treatments.
The digging and/or emerging behaviors of bottom-burrowing bivalves are directly controlled by foot muscular movement through an energy-consuming process30. The digging behavior has been reported to be Mg2+-concentration dependent in the hard clam Meretrix lusoria58,59. The Ca2+/Mg2+-ATPase is an Mg2+-dependent enzyme and directly related to muscular contraction60,61,62,63,64; therefore, the status of Ca2+/Mg2+-ATPase in the foot can be used as an indicator of digging and/or emerging activities. In the present study, the highest enzyme activity of the Ca2+/Mg2+-ATPase was found in razor clams exposed to ~80 dB re 1 μPa of underwater sound when active feeding was induced. The high enzyme activity could be accounted by the increase in foot movement during feeding. Though with deeper digs, exposure to the ~100 dB re 1 μPa of underwater sound led to the lowest activity of the Ca2+/Mg2+-ATPase. As the clams has already dug into the substrate and entered an inactive state to avoid the disturbance before the sampling time-point, the low enzyme activity reflected the resting condition of the individuals at the time of sampling. Similarly, the clams were neither activated nor inhibited by exposure to the ambient sound, with moderate Ca2+/Mg2+-ATPase activity found in samples under these conditions.
Methods
Animal collection and maintenance
Adult razor clams were collected from Yueqing Bay (28.28°N and 121.11°E), Wenzhou, China, before the spawning season from late May to early July of 2014. Once transported to the lab, the clams were acclimated in a 2000 L tank with 500 L aerated flowing seawater (temperature 23.9 ± 1.0 °C, pH 7.95 ± 0.40, salinity 20.0 ± 0.5%, dissolved oxygen 8.01 ± 0.3 mg/L, and total alkalinity 1.91 ± 0.40 mmol/L) for a week before the commencement of experiment. Clams were fed with microalgae Platymonas subcordiformis twice a day, at 8:00 a.m. and 8:00 p.m. Healthy individuals with no shell damage and of regular size (shell length at 5.3 ± 1.1 cm) were used for the experiments.
Sound treatment and record
Referring to preliminary survey results and published literatures, underwater sound levels of ~80 dB re 1 μPa and ~100 dB re 1 μPa were selected to simulate normal sound level in the intertidal zone when covered by tide and under situations of intensive anthropogenic sound, respectively55,56. An ambient aeration sound level of the culture system without any addition of anthropogenic sound input was used as control. To find out the factor of the anthropogenic sound affecting digging behavior, the various combinations of two types of sound-input signals (white noise and sine wave) and two frequencies of sine wave sound (500 Hz and 1000 Hz) were tested. In total, the following seven sound exposures with basal ambient aeration noise were investigated: 1) no additional anthropogenic sound (control), 2) ~80 dB re 1 μPa of “white noise” , 3) ~100 dB re 1 μPa of “white noise”, 4) ~80 dB re 1 μPa 500 Hz sine wave, 5) ~100 dB re 1 μPa 500 Hz sine wave, 6) 80 dB re 1 μPa 1000 Hz sine wave, and 7) 100 dB re 1 μPa 1000 Hz sine wave. Experiments were carried out in 160 L plastic buckets containing 20 cm of mud (with particle diameters of 7.34 ± 0.76 μm) covered by 30 cm deep-sand-filtered seawater. Sound broadcast systems is consisted of an submersible loudspeaker (UW-30, Electro-Voice®; South Bend, Indiana, USA; frequency response 0.1–10 kHz; impedance 8 ohms; power-handling capacity 30 watts; operate depth for optimum efficiency at no more than 1.2 m) connected to a power amplifier player (PA-1050, JKA®; Jinan, Shandong, China; power-handling capacity 50 watts), coupled with a computer with sound-producing software (MyToneTest). The submersible loudspeaker was suspended at 10 cm under water surface to generate the corresponding experimental sound effect. The acoustic conditions in seawater were monitored using acoustics recording units that consisted of a bioacoustics recorder (Song Meter SM2+, Wildlife Acoustics®; Concord, Massachusetts, USA; 96 kHz sampling rate, 16 bit, zero recorder gain), and a calibrated omni-directional hydrophone (HIT-96-MIN, High Tech®; Long Beach, Mississippi, USA; flat frequency response 0.02–30 kHz, sensitivity −164 dB re 1 V/μPa). The hydrophone was deployed in the sediment (the hydrophone was completely buried in the mud) and at the interface between seawater and sediment at 5 cm, 15 cm, 25 cm away from the center of the concentric circle located vertically below the submersible loudspeaker (Fig. 5).
Acoustic data were analyzed by Soundscape Analysis Software SACS V1.0 (Register number: 2014SR216788) in MATLAB R2013a. The spectral density measurement with bandwidth of 86 Hz was applied to calculate the sound pressure levels of the control and experimental trials and the mean of sound intensity was subsequently obtained by taking the average of each 30 seconds acoustic data. In this calculation method, the sound signals in a very short period of time (10~30 ms) were deemed as smooth and underwent Fourier transformation as following.
Let x(n) be an acoustic signal defined for all n (n is the number of sample points in time number) and be the short-time Fourier transformation of x(n) evaluated at time n and frequency ωk. Following the method described by Ronald65 and Jont66, the short-time Fourier transformation was conducted through equation (1).
The discrete time Fourier transformation (DTFT) of x(n) was then obtained via equation (2), in which, m is the time serial number which synchronizes with n and N is the length of given acoustic signal.
The discrete Fourier transformation (DFT) was then estimated using equation (3), where is the short-time magnitude of spectra.
The power spectral density at time m was calculated through equation (4).
The sound pressure level at each bandwidth was subsequently measured via equation (5), where P(k) is short-time Fourier spectral density at center frequency and P0 is the reference pressure (1μpa in water).
The sound pressure level was calculated through equation (6).
Since the frequency bandwidth is determined by the signal sampling rate and the parameter n of the Fourier transformation, the bandwidth analyzed in the present study is therefore 11025 Hz/128 = 86 Hz (the frequency range after Fourier transformation and n are 0~11025 Hz and 128, respectively).
Digging behavior trials
Three replicates, each containing 40 experimental individuals, were performed for each trial. A fishing line (0.18 mm in diameter and 1.5 m in length), with a label identifying the clam, was attached with waterproof glue to the shell of each razor clam in a longitudinal direction to facilitate estimations of the digging depth. Upon a gentle straight pull, the change in length of the attached fishing line before and after experiment was defined as the digging depth. With preliminary experiments indicating that all digging behavior of the razor clams was completed within 24 hours after upload onto the bucket, an experimental period of 24 hours was monitored for all the digging behavior trials. The seawater of each trial was aerated throughout the entire experiment, serving as the main ambient sound.
Oxygen consumption rate, ammonia excretion rate, O:N ratio and Ca2+/Mg2+ ATPase activity assays
According to the results obtained in the digging behavior trials, digging behavior was mainly affected by sound intensity. Therefore, the effects of underwater sounds with anthropogenic “white noise” input at ~80 dB re 1 μPa and ~100 dB re 1 μPa on oxygen consumption rate, ammonia excretion rate, and Ca2+/Mg2+-ATPase activity were investigated in the present study.
Apart from exposure timings and fishing line attachment, similar methods described in Digging behavior trials were carried out for the sound exposure experiments. During the one-week exposure, one-half of the seawater volume was replaced daily with fresh filtered seawater, and the clams were fed with microalgae P. subcordiformis at 8:00 a.m. and 8:00 p.m every day. Upon introduction to the ambient sound of control, ~80 dB re 1 μPa or ~100 dB re 1 μPa of underwater sounds for a week, individual razor clams were used to analyze oxygen consumption, ammonia excretion, and Ca2+/Mg2+-ATPase activity.
Twenty-five individuals from each trial were divided equally into 5 respiratory chambers (2 L) filled with seawater. In total, each sound level tested consisted of 5 replicates containing 5 individuals in each chamber, and a blank trial was conducted with no individual assigned. After buffering the clams in still water for 1 hour, the oxygen consumption rate and the ammonia excretion rate were analyzed. To obtain the oxygen consumption rate, the dissolved oxygen concentrations before and after the experiment were determined by an oxygen meter (Multi 3410 SET4, WTW, Germany). To obtain the ammonia excretion rate, seawater ammonia concentrations before and after the experiment were measured using the standard indophenol blue photometric method67. After measurement, the soft tissue of each individual was peeled off carefully with a scalpel and then dehydrated in an 80 °C oven for 10 days. Dry weights of soft tissues were estimated using a Sartorius electronic balance (BSA2245). The oxygen consumption and ammonia excretion rates were calculated using the equation (7):
where R(E) is the oxygen consumption (or ammonium excretion) rate, t0 and t1 represent oxygen consumption (or ammonium excretion) before and after the experiment, t is the total respiration (or excretion) time, w is the dry weight of the soft tissues, and V is the volume of the respiratory (or excretion) chamber. The atomic ratio of oxygen to nitrogen (O:N) was obtained by dividing the oxygen consumption rate by the ammonia excretion rate.
After one week of sound exposure, another 5 individuals of each experimental trial were used to carry out the Ca2+/Mg2+-ATPase activity assay. Once carefully peeled off on ice, the foot of each razor clam was used in enzyme activity analysis, following the protocol of the Minim ATP enzyme test kit (Ca2+/Mg2+ ATPase) from Nanjing Jiancheng Bioengineering Institute®. The enzyme Ca2+/Mg2+ ATPase decomposes ATP into ADP and inorganic phosphate. The concentrations of the inorganic phosphate produced from ATP hydrolysis were determined using a spectrophotometer (UV-2100, Shanghai Jinghua Instruments) at 636 nm. The Ca2+/Mg2+-ATPase activity was then estimated according to the equation (8). One Ca2+/Mg2+-ATPase activity unit was defined as the amount of enzyme decomposing 1 μmol ATP per milligram tissue protein per hour.
where ODmeasured, ODcontrol, ODstandard, and ODblank indicate the OD values for the tested sample, control, standard sample, and the blank respectively; C indicates the concentration of the standard protein; and t indicates the reaction time.
Quantitative real time PCR of metabolic genes
After being exposed to the ambient control, ~80 dB re 1 μPa or ~100 dB re 1 μPa underwater sounds for a week, 5 razor clams from each exposure trial were dissected on ice. The foot of each individual was carefully peeled off with a scalpel and immediately frozen in liquid nitrogen for later use in real-time PCR analysis. Total RNA from different groups was extracted using TRIpure Reagent (Aidlab Biotechnologies Co., Ltd) according to the manufacturer’s instructions. After validating total RNA quality, cDNA was synthesized with an M-MLV First Strand Kit (Invitrogen®) and stored at −80 °C.
Based on previous transcriptomic data, the software Primer Premier 5.0 was used to design real-time PCR primers for 10 genes, which encode for 6-phosphofructokinase-1 (JZ897777) and pyruvate kinase (JZ897768) in the glycolysis pathway; acetyl-CoA carboxylase (JZ897769) in the fatty acid biosynthesis pathway; arylformamidase (JZ897770) in the tryptophan metabolism pathway (tryptophan is the first limiting amino acid in razor clams); and citrate synthase (JZ897771), isocitrate dehydrogenase (both NAD+ (JZ897772) and NADP+ (JZ897773) dependent types) and α-oxoglutarate dehydrogenase (with all the three parts, E1, E2, and E3, representing oxoglutarate dehydrogenase (JZ897774), dihydrolipoamide succinyltransferase (JZ897775) and dihydrolipoamide dehydrogenase (JZ897776), respectively) in the TCA (citrate cycle) pathway respectively. The 18S ribosomal RNA gene was used as an internal reference68. The sequences of all primers were listed in Table 4.
Table 4. The primer sequences for the 10 tested genes and the internal reference 18 S rRNA.
Primers for the genes analyzed | Sequence (5′ to 3′) |
---|---|
6-phosphofructokinase-1-F | GGAATCGTCAGGATAGGTATA |
6-phosphofructokinase-1-R | TGCTCTCGTTATTGTTGGA |
Pyruvate kinase-F | TCGTGTAATGGCAATAATCG |
Pyruvate kinase-R | GTAGAAGCATCGTTCAAGTC |
Acetyl-CoA carboxylase-F | TGGATGGCAATGTTGATGA |
Acetyl-CoA carboxylase-R | GGCACTGATGGTAGAGAAG |
Arylformamidase-F | TTCTTGAAGGCTGGACATT |
Arylformamidase-R | GTTAGTGGCAGGCATCTAT |
Citrate synthase-F | CAGTTCAGTGCTGCCATA |
Citrate synthase-R | CAAGTTACGGTAGATGATAGAC |
Isocitrate dehydrogenase(NAD+)-F | GCAGGCAAGATGGTATGA |
Isocitrate dehydrogenase(NAD+)-R | GATGCTGAGATGTCTATGGA |
Isocitrate dehydrogenase(NADP+)-F | ATGTTGCTAAGGATGTTACC |
Isocitrate dehydrogenase(NADP+)-R | TTAGGAGATGGACTGTTCTT |
Oxoglutarate dehydrogenase-F | GGCATTACAACAGAAGAGAAG |
Oxoglutarate dehydrogenase-R | GTAGACACGCTGGAAGATG |
Dihydrolipoamide succinyltransferase-F | GCATAGGTCTGGATAGCA |
Dihydrolipoamide succinyltransferase-R | CTTGTTGTTCTACCATGTTG |
Dihydrolipoamide dehydrogenase-F | ACAGGCTCTGAAGTCACA |
Dihydrolipoamide dehydrogenase-R | GCACCAATCACAATCATCTT |
18S ribosomal RNA-F | TCGGTTCTATTGCGTTGGTTTT |
18S ribosomal RNA-R | CAGTTGGCATCGTTTATGGTCA |
Quantitative PCR was performed in a CFX 96TM Real-Time System. Amplifications were carried out in triplicate in a total volume of 10 μL containing 5 μL SsoFast EvaGreen Supermix (Bio-Rad®), 3 μL PCR-grade water, 1 μL cDNA, and 1 μL primers (100 μM). The reaction conditions included an initial denaturation at 95 °C for 5 min; 39 cycles of 95 °C for 20 sec, 61 °C for 20 sec; and 72 °C for 20 sec. After the reaction, the Bio-Rad CFX Manager was used for melting-curve analysis to confirm that a specific PCR product was amplified. The 2−△△CT method was applied to analyze the relative gene expression of target genes.
Statistics
The intensities of sounds in the sediment and at the interface between seawater and sediment at 5 cm, 15 cm, and 25 cm away from the center of concentric circle were analyzed using a one-way ANOVA. To investigate the effect of sound frequency on the digging depth of S. constricta, the digging depths of clams exposed to the sine wave anthropogenic sound input with different noise frequencies and constant intensity (~80 or ~100 dB re 1 μPa) were analyzed using a one-way ANOVA. Similarly, a one-way ANOVA was performed on data of the digging depths of razor clams exposed to different types (white noise versus sine wave anthropogenic sound input) and intensities (ambient control, ~80, or ~100 dB re 1 μPa) of sounds to estimate the effects of sound types and intensities on the digging behavior of S. constricta. One-way ANOVA followed by Tukey’s post hoc test was conducted to compare the oxygen consumption rates, ammonia excretion rates, O:N ratios, and Ca2+/Mg2+-ATPase activities among experimental trials. The expression level of each target gene was compared against the control using t-test. All statistics were performed with the statistical package “R” 69,70, and a p-value <0.05 was accepted as statistically significant.
Additional Information
How to cite this article: Peng, C. et al. Effects of anthropogenic sound on digging behavior, metabolism, Ca2+/Mg2+ ATPase activity, and metabolism-related gene expression of the bivalve Sinonovacula constricta. Sci. Rep. 6, 24266; doi: 10.1038/srep24266 (2016).
Acknowledgments
This work was funded by National Natural Science Foundation of China (No. 31372503), Open Fund of Key Laboratory of Exploration and Preservation of Costal Bio-resources of Zhejiang (No. J2013003, J2015002), Major Science and Technology Project of Zhejiang (2012C13005), and Open Fund of Key Laboratory for Ecological and Environment in Costal Areas, SOA (No. 201603) awarded to G. Liu.
Footnotes
Author Contributions C.P. conducted the whole experiments, which was designed by G.L., S.L., W.S., Y.H. and C.G. contributed in data collection. J.J., H.W. and T.S. helped with acoustic measurements. The data were analysed by C.P., X.Z. and G.L. Other than the first author and corresponding author, X.Z. and G.L. also contributed to manuscript writing. All authors gave final approval for publication.
References
- Peng C., Zhao X. & Liu G. Noise in the sea and its impacts on marine organisms. Inter. J. Env. Res. Pub. Heal. 12, 12304–12323 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Buscaino G. et al. Impact of an acoustic stimulus on the motility and blood parameters of European sea bass (Dicentrarchus labrax L.) and gilthead sea bream (Sparus aurata L.). Mar. Environ. Res. 69, 136–142 (2010). [DOI] [PubMed] [Google Scholar]
- Engås A., Løkkeborg S., Ona E. & Soldal A. Effects of seismic shooting on local abundance and catch rates of cod (Gadus morhua) and haddock (Melanogrammus aeglefinus). Can. J. Fish. Aquat. Sci. 53, 2238–2249 (1996). [Google Scholar]
- Johansson K., Impact of anthropogenic noise on fish behaviour and ecology. Introductory research essay. (2011) Available at: http://pub.epsilon.slu.se/8366/1/Johansson_K_111013.pdf. (Accessed: 8th March 2016)
- Popper A. et al. Effects of exposure to seismic airgun use on hearing of three fish species. J. Acoust. Soc. Am. 117, 3958–3971 (2005). [DOI] [PubMed] [Google Scholar]
- Vasconcelos R., Amorim M. & Ladich F. Effects of ship noise on the detectability of communication signals in the Lusitanian toadfish. J. Exp. Biol. 210, 2104–2112 (2007). [DOI] [PubMed] [Google Scholar]
- André M. The sperm whale sonar: monitoring and use in mitigation of anthropogenic noise effects in the marine environment. Nucl. Instrum. Methods Phys. Res. Sect. A. 602, 262–267 (2009). [Google Scholar]
- Codarin A., Wysocki L., Ladich F. & Picciulin M. Effects of ambient and boat noise on hearing and communication in three fish species living in a marine protected area (Miramare, Italy). Mar. Pollut. Bull. 58, 1880–1887 (2009). [DOI] [PubMed] [Google Scholar]
- Kastelein R. et al. Startle response of captive North Sea fish species to underwater tones between 0.1 and 64 kHz. Mar. Environ. Res. 65, 369–377 (2008). [DOI] [PubMed] [Google Scholar]
- Popper A., Fay R., Platt C. & Sand O. Sensory processing in aquatic environments (Springer, New York, 2003). [Google Scholar]
- Simard Y., Lepage R. & Gervaise C. Anthropogenic sound exposure of marine mammals from seaways: estimates for Lower St. Lawrence Seaway, eastern Canada. Appl. Acoust. 71, 1093–1098 (2010). [Google Scholar]
- Aguilar de Soto N. et al. Anthropogenic noise causes body malformations and delays development in marine larvae. Sci. Rep. 3, 2831 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Slabbekoorn H. et al. A noisy spring: the impact of globally rising underwater sound levels on fish. Trends. Ecol. Evol. 25, 419–427 (2010). [DOI] [PubMed] [Google Scholar]
- Wright A. et al. Do marine mammals experience stress related to anthropogenic noise? Int. J. Comp. Psychol. 20, 275–316 (2007). [Google Scholar]
- Parry G. & Gason A. The effect of seismic surveys on catch rates of rock lobsters in western Victoria, Australia. Fish. Res. 79, 272–284 (2006). [Google Scholar]
- Lucke K., Siebert U., Lepper P. & Blanchet M. Temporary shift in masked hearing thresholds in a harbor porpoise (Phocoena phocoena) after exposure to seismic airgun stimuli. J. Acoust. Soc. Am. 125, 4060–4070 (2009). [DOI] [PubMed] [Google Scholar]
- Nachtigall P., Supin A., Pawloski J. & Au W. Temporary threshold shifts after noise exposure in the bottlenose dolphin (Tursiops truncatus) measured using evoked auditory potentials. Mar. Mamm. Sci. 20, 673–687 (2004). [Google Scholar]
- Popper A., Fewtrell J., Smith M. & McCauley R. Anthropogenic Sound: effects on the behavior and physiology of fishes. Mar. Technol. Soc. J. 37, 35–40 (2003). [Google Scholar]
- Bruintjes R. & Radford A. Context-dependent impacts of anthropogenic noise on individual and social behaviour in a cooperatively breeding fish. Anim. Behav. 85, 1343–1349 (2013). [Google Scholar]
- Fewtrell J. & McCauley R. Impact of air gun noise on the behaviour of marine fish and squid. Mar. Pollut. Bull. 64, 984–993 (2012). [DOI] [PubMed] [Google Scholar]
- André M. et al. Low-frequency sounds induce acoustic trauma in cephalopods. Front. Ecol. Environ. 9, 489–493 (2011). [Google Scholar]
- Guerra Á., González Á., Pascual S. & Dawe E. The giant squid Architeuthis: an emblematic invertebrate that can represent concern for the conservation of marine biodiversity. Biol. Conserv. 144, 1989–1997 (2011). [Google Scholar]
- McCauley R., Fewtrell J. & Popper A. High intensity anthropogenic sound damages fish ears. J. Acoust. Soc. Am. 113, 638–642 (2003). [DOI] [PubMed] [Google Scholar]
- Romano T. et al. Anthropogenic sound and marine mammal health: measures of the nervous and immune systems before and after intense sound exposure. Can. J. Fish. Aquat. Sci. 61, 1124–1134 (2004). [Google Scholar]
- Santulli A. et al. Biochemical responses of european sea bass (Dicentrarchus labrax L.) to the stress induced by off shore experimental seismic prospecting. Mar. Pollut. Bull. 38, 1105–1114 (1999). [Google Scholar]
- Popper A. & Hastings M. The effects of human-generated sound on fish. Integr. Zool. 4, 43–52 (2009). [DOI] [PubMed] [Google Scholar]
- Feng B. et al. Identification of immune genes of the Agamaki clam (Sinonovacula constricta) by sequencing and bioinformatic analysis of ESTs. Mar. Biotechnol. 12, 282–291 (2010). [DOI] [PubMed] [Google Scholar]
- Li C., Li H., Su X. & Li T. Identification and characterization of a clam ferritin from Sinonovacula constricta. Fish. Shellfish. Immun. 30, 1147–1151 (2011). [DOI] [PubMed] [Google Scholar]
- Niu D., Jin K., Wang L., Feng B. & Li J. Molecular characterization and expression analysis of four cathepsin L genes in the razor clam, Sinonovacula constricta. Fish. Shellfish. Immun. 35, 581–588 (2013). [DOI] [PubMed] [Google Scholar]
- Gosling E. Bivalve molluscs: biology, ecology and culture (John Wiley & Sons, New York, 2008). [Google Scholar]
- Fan D., Pan L., Ma S. & Dong S. Effects of salinity and pH on oxygen consumption rate and ammonia excretion rate of Sinonovacula constricta. J. Fish. Sci. China 9(3), 234–238 (2002). (with abstract in English) [Google Scholar]
- Fan D., Pan L., Ma S. & Dong S. Effects of temperature on oxygen consumption rate and ammonia excretion rate of Sinonovacula constricta. J. Ocean. Univ. Qingdao 32(1), 56–62 (2002). (with abstract in English) [Google Scholar]
- Pan L., Fan D., Ma S. & Dong S. Influence of environmental factors on the filtration rate of Sinonovacula constricta. J. Fish. China. 26(3), 226–230 (2002). (with abstract in English) [Google Scholar]
- An X. Analysis and evalution of the nutrition and healthiness in some Sinonovacula constricta. T. Oceanol. Limnol. 4, 99–103 (2005). (with abstract in English) [Google Scholar]
- Zhang C. et al. Effects of starvation and refeeding on digestive enzyme activity and antioxidative capacoty of razor clam (Sinonovacula constricta). J. Fish. China 34(7), 1106–1112 (2010). (with abstract in English) [Google Scholar]
- Wu T. & Lin B. Effects of several environmental factors on survival rate of young shells of Sinonovacula constricta (Lamarck). J. Oceanogr. Taiwan. Strait. 6(2), 120–126 (1987). (with abstract in English) [Google Scholar]
- Wu R., Wang J., Su Y., Zheng J. & Chen X. The polymorphism of genomic DNA in three species of razor shell. J. Xiamen Univ. 47(5), 739–742 (2008). (with abstract in English) [Google Scholar]
- Jiang Z., Niu D., Chen H., Shen H. & Li J. The genetic analysis of ITS-1 and ITS-2 between wild and cultured populations of Sinonovacula constricta in Fujian. Mar. Fish. 29(4), 314–318 (2007). (with abstract in English) [Google Scholar]
- Niu D., Li J., Feng B. & Liu D. ISSR analysis on genetic structure of six Sinonovacula constricta populations. China. J. Appl. Environ. Bio. 15(3), 332–336 (2009). (with abstract in English) [Google Scholar]
- Niu D. et al. The genetic diversity of mitochondrial 16S rRNA gene fragment in six populations of Sinonovacula constricta. J. Shanghai. Fish Uni. 16(1), 1–16 (2007). (with abstract in English) [Google Scholar]
- Niu D., Li J., Shen H. & Jiang Z. Sequence variability of mitochondrial DNA-COI gene fragment and population genetic structure of six Sinonovacula constricta populations. ACTA. Oceanol. SINICA. 30(3), 110–116 (2008). (with abstract in English) [Google Scholar]
- Niu D., Li J. & Zheng R. Isolation and sequence characterization of microsatellite DNA in razor clam (Sinonovacula constricta). Periodical. Ocean. Univ. China 38(5), 733–738 (2008). (with abstract in English) [Google Scholar]
- Chapman D. M. & Ward P. D. The normal-mode theory of air-to-water sound transmission in the ocean. J. Acoust. Soc. Am. 87, 601–618 (1990). [Google Scholar]
- Lillis A., Eggleston D. B. & Bohnenstiehl D. R. Soundscape variation from a larval perspective: the case for habitat-associated sound as a settlement cue for weakly swimming estuarine larvae. Mar. Ecol. Prog. Ser. 509, 57–70 (2014). [Google Scholar]
- Lillis A., Bohnenstiehl D. W. R. & Eggleston D. B. Soundscape manipulation enhances larval recruitment of a reef-building mollusk. PeerJ. 3, e999 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dall W. & Smith D. Oxygen consumption and ammonia-N excretion in fed and starved tiger prawns, Penaeus esculentus Haswell. Aquaculture. 55, 23–33 (1986). [Google Scholar]
- Mayzaud P. & Conover R. O: N atomic ratio as a tool to describe zooplankton metabolism. Mar. Ecol. Prog. Ser. 45, 289–302 (1988). [Google Scholar]
- Roos D. & Loos J. A. Changes in the carbohydrate metabolism of mitogenically stimulated human peripheral lymphocytes: II. Relative importance of glycolysis and oxidative phosphorylation on phytohaemagglutinin stimulation. Exp. Cell. Res. 77(1): 127–135 (1973). [DOI] [PubMed] [Google Scholar]
- Abu-Elheiga L., Matzuk M. M., Abo-Hashema K. A. & Wakil S. J. Continuous fatty acid oxidation and reduced fat storage in mice lacking acetyl-CoA carboxylase 2. Science 291(5513), 2613–2616 (2001). [DOI] [PubMed] [Google Scholar]
- Le Floc’h N., Otten W. & Merlot E. Tryptophan metabolism, from nutrition to potential therapeutic applications. Amino. Acids. 41(5): 1195–1205 (2011). [DOI] [PubMed] [Google Scholar]
- Li J., Zhang X. & Xu Q. Physiological and biochemical effects of tryptophan and its application. Amino Acids. Biot. Resour. 27(3), 58–62 (2005). (with abstract in English) [Google Scholar]
- Koubaa M., Cocuron J. C., Thomasset B. & Alonso A. P. Highlighting the tricarboxylic acid cycle: liquid and gas chromatography-mass spectrometry analyses of 13 C-labeled organic acids. Anal. Biochem. 436(2), 151–159 (2013). [DOI] [PubMed] [Google Scholar]
- Owen O. E., Kalhan S. C. & Hanson R. W. The key role of anaplerosis and cataplerosis for citric acid cycle function. J. Biol. Chem. 277(34), 30409–30412 (2002). [DOI] [PubMed] [Google Scholar]
- Snow N. B. & Williams P. J. A simple method to determine the O: N ratio of small marine animals. J. Mar. Bio. Assoc. UK 51(01), 105–109 (1971). [Google Scholar]
- Arveson P. & Vendittis D. Radiated noise characteristics of a modern cargo ship. J. Acoust. Soc. Am. 107, 118–129 (2000). [DOI] [PubMed] [Google Scholar]
- Zou C., Chen D. & Hua H. Study on characteristics of ship underwater radiation noise. J. ship mech. 8, 113–124 (2004). (with abstract in English) [Google Scholar]
- Lin Y., Su X., Sun B. & He Y. A comparative study on amino acid and fatty acid in Sinonovacula constricta of varied populations. Food. Sci. 27(12), 675–678 (2006). (with abstract in English) [Google Scholar]
- Lee A., Lin C. & Chen S. The effect of temperature and components of artificial seawater on digging ability of hard clam (Meretrix lusoria). Taiwan J. Aquaculture. 31, 251–262 (2004). [Google Scholar]
- Lee A., Lin Y., Lin C., Lee M. & Chen Y. Effects of components in seawater on the digging behavior of the hard clam (Meretrix lusoria). Aquaculture 272, 636–643 (2007). [Google Scholar]
- Hammer J. & Sellers J. Walking to work: roles for class V myosins as cargo transporters. Nat. Rev. Mol. Cell Bio. 13, 13–26 (2012). [DOI] [PubMed] [Google Scholar]
- Ji L., Chauhan A., Brown W. & Chauhan V. Increased activities of Na+/K+-ATPase and Ca2+/Mg2+-ATPase in the frontal cortex and cerebellum of autistic individuals. Life Sci. 85, 788–793 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Migdalis I. et al. Ca2+-Mg2+-ATPase activity and ionized calcium in Type 2 diabetic patients with neuropathy. Diabetes. Res. Clin. Pr. 49, 113–118 (2000). [DOI] [PubMed] [Google Scholar]
- Ogi M., Yokomori H., Inao M., Oda M. & Ishii H. Hepatic stellate cells express Ca2+ pump-ATPase and Ca2+-Mg2+-ATPase in plasma membrane of caveolae. J. Gastroentero. 35, 912–918 (2000). [DOI] [PubMed] [Google Scholar]
- Yokomori H. et al. Bile canalicular contraction and dilatation in primary culture of rat hepatocytes-possible involvement of two different types of plasma membrane Ca2+-Mg2+-ATPase and Ca2+-pump-ATPase. Med. Electron. Microsc. 34, 115–122 (2001). [DOI] [PubMed] [Google Scholar]
- Ronald W. S. & Lawrence R. R. Design and simulation of a speech analysis synthesis system based on short-time Fourier analysis. IEEE. T. Audio. Electroacoustics. 21, 165–174 (1973). [Google Scholar]
- Jont B. A. & Lawrence R. R. A unified approach to short-time Fourier analysis and synthesis. P. IEEE. 65, 1558–1564 (1977). [Google Scholar]
- Ivančič I. & Degobbis D. An optimal manual procedure for ammonia analysis in natural waters by the indophenol blue method. Water. Res. 18, 1143–1147 (1984). [Google Scholar]
- Feng B. et al. Molecular characteristics and expression analysis of β-actin 1 gene from Sinonovacula constricta. J. Fish. China. 35(5), 650–659 (2011). (with abstract in English) [Google Scholar]
- Ihaka R. & Gentleman R. R: a language for data analysis and graphics. J. comput. graph. stat. 5, 299–314 (1996). [Google Scholar]
- Core Team R. (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL: https://www.r-project.org/