Applying fungicide on earthworms: Biochemical effects of Eisenia fetida exposed to fluoxastrobin in three natural soils

Applying fungicide on earthworms: Biochemical effects of Eisenia fetida exposed to fluoxastrobin in three natural soils

Journal Pre-proof Applying fungicide on earthworms: Biochemical effects of Eisenia fetida exposed to fluoxastrobin in three natural soils Cheng Zhang,...

1MB Sizes 0 Downloads 113 Views

Journal Pre-proof Applying fungicide on earthworms: Biochemical effects of Eisenia fetida exposed to fluoxastrobin in three natural soils Cheng Zhang, Tongtong Zhou, Zhongkun Du, Albert Juhasz, Lusheng Zhu, Jun Wang, Jinhua Wang, Bing Li PII:

S0269-7491(19)34926-7

DOI:

https://doi.org/10.1016/j.envpol.2019.113666

Reference:

ENPO 113666

To appear in:

Environmental Pollution

Received Date: 16 September 2019 Revised Date:

31 October 2019

Accepted Date: 21 November 2019

Please cite this article as: Zhang, C., Zhou, T., Du, Z., Juhasz, A., Zhu, L., Wang, J., Wang, J., Li, B., Applying fungicide on earthworms: Biochemical effects of Eisenia fetida exposed to fluoxastrobin in three natural soils, Environmental Pollution (2019), doi: https://doi.org/10.1016/j.envpol.2019.113666. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2019 Published by Elsevier Ltd.

1

Applying fungicide on earthworms: Biochemical effects of Eisenia fetida exposed to fluoxastrobin in three

2

natural soils

3

Cheng Zhanga, Tongtong Zhoua, Zhongkun Dua, Albert Juhaszb, Lusheng Zhua,*, Jun Wanga, Jinhua Wanga, Bing Lia

4 5

a

6

Environment in Universities of Shandong, National Engineering Laboratory for Efficient Utilization of Soil and

7

Fertilizer Resources, Taian, 271018, PR China

8

b

9

Mawson Lakes, SA 5095, Australia

College of Resources and Environment, Shandong Agricultural University, Key Laboratory of Agricultural

Future Industries Institute, Centre for Environmental Risk Assessment and Remediation, University of South Australia,

10 11

Email: Cheng Zhang: [email protected]

12

Tongtong Zhou: [email protected]

13

Zhongkun Du: [email protected]

14

Albert Juhasz: [email protected]

15

Jun Wang: [email protected]

16

Jinhua Wang: [email protected]

17

Bing Li: [email protected]

18

*

Corresponding Author: Lusheng Zhu* (ORCID: 0000-0001-6212-1965)

19

College of Resources and Environment, Shandong Agricultural University, Taian 271018, China

20

Phone: +86 538 8249789.

21

Fax: +86 538 8242549.

22

E-mail: [email protected]

1

23

Abstract

24

Fluoxastrobin is one of the most widely used strobilurin fungicides, however, application of the fungicides may result in

25

soil residues leading to environmental damage including oxidative stress and damage to sentinel organisms (i.e.

26

earthworms). While this has been demonstrated in artificial soil, the biochemical response of Eisenia fetida exposed to

27

fluoxastrobin in natural soils is unclear. This study utilized three typical natural soils (fluvo-aquic soils, red clay, and

28

black soils) to evaluate the biochemical response of Eisenia fetida exposed to fluoxastrobin (0.1, 1.0, 2.5 mg/kg)

29

including the production of reactive oxygen species, impact on three enzyme activities, lipid peroxidation, and

30

8-hydroxydeoxyguanosine after a 4-week exposure. The effects of fluoxastrobin on Eisenia fetida in different soils were

31

assessed using an integrated biomarker response (IBR). The findings may be possible to state that the toxic effects of

32

fluoxastrobin in artificial cannot exactly represent that in natural soils. Specifically, the fluoxastrobin subchronic

33

toxicity was highest in red clay and lowest in black soil among the three natural soils. Furthermore, the 8-OHdG content

34

was more sensitive to fluoxastrobin in all six environmental indicators of the present study.

35 36

Capsule: The toxicity of fluoxastrobin to Eisenia fetida in natural soils were different from those in artificial soil with

37

the toxicity order: Red clay > Fluvo-aquic soil > Black soil > Artificial soil.

38 39

Keywords: Strobilurin fungicide; Fluvo-aquic soil; Red clay; Black soil; Integrated biomarker response (IBR)

40

2

41

Introduction

42

Strobilurin fungicides, a new formulation following triazole fungicides, are effective agents in controlling fungal

43

disease. The mechanism of action, (i.e. fluoxastrobin transfers electrons between cytochromes b and C1) inhibits

44

respiratory via mitochondria (Zhang et al., 2018d), which led to the wide use of strobilurin fungicides to protect a

45

variety of crops from fungal disease. However, a consequence of their use is the potential for strobilurin fungicides to

46

accumulate in with the potential to exert toxicological impact on other nontarget receptors (Kohlschmid and Ruf, 2016;

47

Wang et al., 2015). One such strobilurin fungicide is fluoxastrobin (Fig. S1), a relative stable fungicide with a half-life

48

of 16-119 days (Zhang et al., 2019). However, very little was found in the literature about the question of fluoxastrobin

49

environmental toxicity.

50

Earthworms (Eisenia fetida) were defined as the soil model animals by the Organization for Economic

51

Cooperation and Development (OECD 222, 2004). Short-term acute toxicity studies have identified that fluoxastrobin

52

exhibits low toxicity to Eisenia fetida (14 d LD50 >1,000 mg/kg). Although high LD50 values have been reported, lower

53

dose (0.1, 1.0, 2.5 mg/kg) exposure of fluoxastrobin to Eisenia fetida for 28 days in artificial soils (Zhang et al., 2018d)

54

may lead to the induction of oxidative stress and damage.

55

Klára and Jakub (2012) identified that differences in POP bioavailability and bioaccumulation may arise when

56

artificial and natural soils are utilized in Eisenia fetida toxicity tests. A similar result was observed by Gestel et al. (2011)

57

when molybdenum bioaccumulation in Eisenia Andrei was assessed in diverse natural soils. This raises the question as

58

to whether the biochemical response of Eisenia fetida exposed to fluoxastrobin in artificial soil is representative of

59

effects that may be observed in natural soils.

60

Three typical natural soils (fluvo-aquic soils, red clay, and black soils) were chosen to evaluate the biochemical

61

response of Eisenia fetida exposed to fluoxastrobin at low dose (0.1, 1.0, 2.5 mg/kg) over 28 days using endpoints

62

including production of reactive oxygen species (ROS), impact on activities of superoxide dismutase (SOD), catalase

63

(CAT), and glutathione S-transferase (GST), lipid peroxidation (LPO), and 8-hydroxydeoxyguanosine (8-OHdG).

64

Integrated Biomarker Response (IBR, v2) was considered to evaluate the ecological and environmental conditions

3

65

(Samanta et al., 2018; Sanchez-Hernandez, 2019; Wang et al., 2011). To clearly compare the fluoxastrobin toxicity to

66

Eisenia fetida in different soil types, the ROS contents, LPO, and enzyme activity of 2.5 mg/kg after a 4-week exposure

67

were selected to calculate the IBR index. The results of each indicator in artificial soil were as per our previous study

68

(Zhang et al., 2018d). The current study aims to determine whether the biochemical effects of Eisenia fetida exposed to

69

fluoxastrobin in artificial soils are representative of those in natural soils.

70 71

Materials and methods

72

Chemicals

73

Fluoxastrobin (CAS 361377-29-9; 99.3% purity) was purchased from Dr. Ehrenstorfer GmbH (Augsburg, Germany),

74

while acetonitrile (chromatographical purity) was purchased from Tedia Co. Inc. (Ohio, USA). The other chemicals of

75

analytical purity are listed in Table S1. 8-OHdG was evaluated using the Earthworm 8-OHdG ELISA kit

76

(hengyuan biological technology Co. Ltd., Shanghai, China).

77 78

Soil, Eisenia fetida, exposure concentration and time

79

The fluvo-aquic soils, red clay, and black soils were collected from Dezhou (Shandong Province, 36.78°N, 116.54°E),

80

Nanning (Guangxi Province, 22.74°N, 109.31°E) and Changchun (Jilin Province, 43.80°N, 125.40°E), respectively.

81

Soils were sieved to < 2-mm prior to exposure studies. Table S2 details the physical-chemical properties of the test soils

82

(Zhang et al., 2018a).

83

Toxicity tests used 1 L beakers containing 500 g (dry weight) of test soil. The moisture content was adjusted to

84

60% water-holding capacity. Perforated plastic wrap was used to seal each beaker to maintain moisture and gas

85

exchange. A 28-day toxicology test (7, 14, 21, and 28 d) was performed with the final doses of fluoxastrobin in test

86

soils (1 L beakers) of 0, 0.1, 1.0, and 2.5 mg/kg dry soil as per Zhang et al. (2018d).

87 88

Eisenia fetida were chosen as sentinel soil organisms for exposure studies with fluoxastrobin. Eisenia fetida were purchased from a supplier (Rizhao, China) and cultured for 2 weeks (Zhang et al., 2018d). Healthy Eisenia fetida

4

89

(weight ranging from 0.3 to 0.5 g) with visible clitellum were chosen at random for sensitivity and subchronic toxicity

90

tests.

91

The principle of using animals in toxicological tests was adopted in the present study (Zhang et al., 2018c). Each

92

control and treatment contained 20 earthworms. Then, the incubator (RXZ-500B-LED, Ningbo Jiangnan Instrument

93

Factory, China) was used to culture each beaker at 20 ± 1

94

exposure trial contained three replicates.

95 96

for 1/1 of light/dark till 28 days. Each toxicological

Furthermore, it was considered that the earthworm sensitivity test would usefully testify the reliability of subchronic toxicity test. The details of the sensitivity test were shown in Supporting Information.

97 98

Assessment of ROS contents

99

ROS content was measured using the DCFH-DA method (Zhang et al., 2018d), using a reactive oxygen species assay

100

kit purchased from Beyotime Biotech. Inc. (Shanghai, China). Earthworms from control and exposure treatments (n=3)

101

were selected for ROS content determination randomly at each sample time point. A fluorescence spectrophotometer

102

(RF-5301PC, Shimadzu, Japan) was used to quantify ROS content.

103 104

Assessment of protein contents, enzyme activities, and malonaldehyde (MDA) content

105

At each sample time point, earthworm from control and treatments (n=3) was selected at random for enzyme extraction

106

(Zhang et al., 2018d). Prepared enzymes were used for the determination of protein content, enzyme activity, and MDA

107

content.

108 109

Protein contents were measured using the method of Bradford (1976) with concentrations quantified using ultraviolet-visible spectrophotometer (UV-2600, Shimadzu, Japan) was used.

110

Enzyme activity was determined as per Zhang et al. (2018d). The UV-2600 was used to quantify activities of SOD,

111

CAT, and GST. The units of SOD, CAT, and GST were U/mg pr (U: enzyme levels inhibited 50% NBT photochemical),

112

U/mg pr (U: enzyme levels inhibited 50% H2O2), and nmol/min/mg pr, respectively.

5

113 114

Box and Maccubbin (1997) consider that MDA content is a suitable biomarker of LPO. MDA content was also assessed using the thiobarbituric acid method (Zhang et al., 2018d) expressed as nmol/mg pr.

115 116

DNA damage assessment

117

Guo et al (2014). consider that 8-OHdG content is a suitable biomarker of DNA damage, which was determined using

118

an Earthworm 8-OHdG ELISA kit following the manufacturer’s instructions. Earthworms from control and exposure

119

treatments (n=3) were chosen for DNA damage determination at random at each sample time point. The ELISA

120

(Multiskan MK3, Thermo Fisher Scientific, Massachusetts, USA) was used to quantify 8-OHdG.

121 122

Statistics

123

The box plot was drawn using Origin 2019 (OriginLab Corporation, Massachusetts, USA). Each toxicological exposure

124

trial contained three replicates. The five lines from top to bottom represent the maximum, means + standard error (SE),

125

median, means – SE, and minimum. The small check in the box plot represents mean values. Statistical Package for

126

Social Sciences (V22.0, SPSS Inc., USA) was used to conduct a one-way analysis of variance (ANOVA) between control

127

and exposure treatments. Specifically, the least significant difference test was adopted with the significance of p < 0.05.

128

Results of indicators of Eisenia fetida exposed to fluoxastrobin at 0.1, 1.0, and 2.5 mg/kg on day 28 were

129

calculated for IBR index using the EXCEL software (Microsoft, Redmond, WA, USA). The calculation details were

130

listed in the section “1.3 Calculation of integrated biomarker response (IBR) index” of the “Supporting Information”.

131 132

Results and discussion

133

ROS contents

134

ROS content in organisms exists in a dynamic balance. However, once ROS is unable to be cleaned by antioxidant

135

enzymes, the balance is impacted (Brendler-Schwaab et al., 2005). 2’,7’-dichlorofluorescein (DCF), the reaction

136

product of ROS and DCFH-DA, can be used to evaluate ROS content due to its fluorescence activity (Zhang et al.,

6

137

2018d). Figure 1 illustrates ROS content in Eisenia fetida exposed to fluoxastrobin in three natural soils at three low

138

dose exposure concentrations.

139



140 141

On days 7 and 14, the ROS contents at diverse exposure concentrations were all notably greater than those in

142

control in all three diverse natural soils. The results showed a dose-response relationship. However, no notable

143

discrepancy was found between 1.0 and 2.5 mg/kg treatments in red clay and between 0.1 and 1.0 mg/kg in black soils.

144

On day 21, the ROS contents at diverse exposure concentrations were all notably greater than those in control in all

145

three diverse natural soils. The results showed a significant dose-response relationship. However, no notable

146

discrepancy was found between 1.0 and 2.5 mg/kg treatments in red clay. On day 28, the ROS contents at diverse

147

exposure concentrations were all notably greater than those in control in all three diverse natural soils. The results

148

showed a significant dose-response relationship. No notable discrepancy was found between 0.1 and 1.0 mg/kg

149

treatments in fluvo-aquic soils.

150

Previously we studied the subchronic effect (at 0.1, 1.0, 2.5 mg/kg) of fluoxastrobin on Eisenia fetida in artificial

151

soil (a mixture of kaolin, quartz sand, and peat as per OECD) (OECD 222, 2004, OECD 207, 1984, Zhang et al., 2018d).

152

Similar results were obtained (i.e. values greater than unexposed Eisenia fetida and dose-response), however ROS

153

content in artificial soil (813.8-1103 fluo-intensity/mg Pr) was lower compared to values determined in natural soils.

154

Our previous study (Zhang et al., 2017) stated ROS can cause oxidative damage including LPO and DNA damage,

155

which were also evaluated in the present study.

156 157

Activities of the antioxidant enzyme (SOD and CAT)

158

The activities of enzymes can be adopted to evaluate environmental pollution (Song et al., 2009; Zhang et al., 2014).

159

ROS can be inactivated by antioxidant enzymes (SOD and CAT) (Guo et al., 2016; Hu et al., 2016; Nel et al., 2006),

160

which are the first line of defense for cellular protection (Liu et al., 2018; Yan et al., 2015). SOD is responsible for the

7

161

dismutation of O2- to H2O2, which is detoxified by CAT (Zhang et al., 2018b). Figures 2, 3 illustrate SOD and CAT

162

activities in Eisenia fetida exposed to fluoxastrobin in three natural soils, respectively.

163



164 165

On day 7, SOD activities following exposure to fluoxastrobin at all concentrations were notably lower than those

166

measured in control soils with the exception of that in the black soil at the lowest exposure dose (0.1 mg/kg). No

167

notable discrepancy was observed between 1.0 and 2.5 mg/kg treatments in all three natural soils. On day 14, the SOD

168

activities showed a notable decline from the control to exposure groups in all three diverse natural soils except for those

169

in 0.1 mg/kg treatments of black soils. No notable discrepancy was found between 0.1 and 1.0 mg/kg treatments and

170

between 1.0 and 2.5 mg/kg in all three diverse natural soils. On day 21, the SOD activities showed a notable decline

171

from the control to exposure groups except for those in 0.1 mg/kg treatments in all three diverse natural soils. No

172

notable discrepancy was found between 0.1 and 1.0 mg/kg treatments in red clay. On day 28, the SOD activities showed

173

a notable decline from the control to exposure groups at the doses of 1.0 and 2.5 mg/kg in fluvo-aquic soil and red clay.

174

No notable discrepancy was found between 0.1 and 1.0 mg/kg treatments in red clay, between 1.0 and 2.5 mg/kg in all

175

three diverse natural soils, and among 0.1, 1.0, and 2.5 mg/kg treatments in black soils. The similar finding in each

176

exposure time was observed by Han et al. (2016) when they studied the effects of another strobilurin-type fungicide on

177

zebrafish at (1, 10, and 100 µg/L). We also studied the subchronic of fluoxastrobin on Eisenia fetida in artificial soil

178

(Zhang et al., 2018d), while the SOD activities in exposure groups were all notably greater than those in control at

179

diverse exposure time.

180

On day 7, the CAT activities showed a notable decline from the control to exposure groups at the dose 2.5 mg/kg

181

in red and black soils, while those in fluvo-aquic soils were greater than in control. No notable discrepancy was found

182

between 0.1 and 1.0 mg/kg treatments in fluvo-aquic soils and red clay. On day 14, the CAT activities showed a notable

183

decline from the control to exposure groups in red clay, while those in fluvo-aquic soils were notably greater than in

184

control. No notable discrepancy was found among the exposure groups and the controls in black soil. On day 21, the

8

185

CAT activities showed a notable decline from the control to exposure groups in red and black soils, while those in

186

fluvo-aquic soils showed a significant dose-response climb. On day 28, the CAT activities showed a notable decline

187

from the control to exposure groups in red and black soils, while those in fluvo-aquic soils were greater than in control.

188

The results showed a significant dose-response relationship in red clay. No notable discrepancy was found between 0.1

189

and 1.0 mg/kg treatments in fluvo-aquic soils and among 0.1, 1.0, and 2.5 mg/kg treatments in black soils. Another

190

important finding was that the CAT activities showed a notable decline from the control to exposure groups in artificial

191

soil (Zhang et al., 2018d), which was similar to the results in red and black soils, differed from those in fluvo-aquic soils.

192

The difference among the results of SOD and CAT activities in artificial and natural soils may state the toxicity of

193

fluoxastrobin in different soils was different. This may be due to the different soil types, including pH, TOC, and so on.

194 195

GST activity

196

As Zhu et al. (2011) stated, GST (detoxifying enzyme) can catalyze the nucleophilic coupling of some endogenous or

197

exotic harmful substances with the mercaptol dipole of the modified glutathione, and increase its hydrophobicity so that

198

it can easily cross the cell membrane and expel it after being decomposed, so as to achieve the purpose of detoxification.

199

Figure 4 illustrated GST activities in Eisenia fetida exposed to fluoxastrobin in three natural soils at low exposure

200

concentrations.

201



202

On day 7, the GST activities at diverse exposure concentrations remain stable in control in fluvo-aquic and black

203

soils except for those of 0.1 mg/kg treatments in fluvo-aquic soils and 1.0 mg/kg in black soils, while those in red clay

204

were notably greater than in control. No notable discrepancy was found between 1.0 and 2.5 mg/kg treatments in all

205

three diverse natural soils. On day 14, the GST activities at diverse exposure concentrations remain stable in control in

206

fluvo-aquic and red clay except for those of 2.5 mg/kg treatments in fluvo-aquic soils and 1.0 mg/kg in red clay, while

207

those in black soils were notably greater than in control. No notable discrepancy was found among 0.1, 1.0, and 2.5

208

mg/kg treatments in black soils. On day 21, the GST activities at diverse exposure concentrations were all notably

9

209

greater than those in control in fluvo-aquic and black soils except for those of 2.5 mg/kg treatments in black soils, while

210

those in red clay were notably lower than in control. No notable discrepancy was found between 0.1 and 1.0 mg/kg

211

treatments in fluvo-aquic and black soils and between 1.0 and 2.5 mg/kg in red clay. On day 28, the GST activities

212

showed a climb from the control to exposure groups in fluvo-aquic and black soils except for those of 2.5 mg/kg

213

treatments in black soils. No notable discrepancy was found among 0.1, 1.0, and 2.5 mg/kg treatments in fluvo-aquic

214

soils, and between 0.1 and 1.0 mg/kg treatments in red clay. The results in black soils showed reached a maximum in

215

1.0 mg/kg treatments (145.9 nmol/min/mg pr) and then reduced. No notable regularity was found in GST activities in

216

all three diverse natural soils, which may be due to the complex process of the stimulation of ROS and detoxifying

217

effects. The aforementioned results showed that GST activities may increase due to stimulation of ROS and LPO (Dong

218

et al., 2009). The values of GST activities in artificial soil were higher compared to those in control not including 0.1

219

mg/kg on days 21 and 28 (Zhang et al., 2018d). Glutathione S-transferase activities reached a maximum in 1.0 mg/kg

220

treatments and then reduced at each exposure time. These results were similar to those in black soils at each exposure

221

time except for those on day 7.

222 223

MDA contents

224

Box and Maccubbin (1997) believed ROS can cause LPO, which was evaluated using MDA contents as the biomarker.

225

Figure 5 illustrated MDA contents in Eisenia fetida exposed to fluoxastrobin in three natural soils.

226



227 228

On day 7, the MDA contents at diverse exposure concentrations were all notably greater than those in control in

229

red clay and black soils. Furthermore, no notable discrepancy was found among 0.1, 1.0, and 2.5 mg/kg treatments and

230

the controls in fluvo-aquic soils and between 0.1 and 1.0 mg/kg in black soils. On day 14, the MDA contents at diverse

231

exposure concentrations were all notably greater than those in control in all three diverse natural soils except for those

232

in 0.1 mg/kg treatments of fluvo-aquic and black soils. On day 21, the MDA contents at diverse exposure concentrations

10

233

were all greater than those in control in all three diverse natural soils except for those in 0.1 mg/kg treatments of red

234

clay, and in 0.1 and 1.0 mg/kg treatments of black soils. On day 28, the MDA contents at diverse exposure

235

concentrations were all notably greater than those in control in all three diverse natural soils except for those in 1.0 and

236

2.5 mg/kg treatments of fluvo-aquic soils and in 0.1 mg/kg treatments of black soils. No notable discrepancy was found

237

between 0.1, and 2.5 mg/kg treatments in both fluvo-aquic and red clay.

238

The excess ROS could induce LPO, and both of the pollutants and LPO could induce DNA damage and product

239

excess ROS (Evert et al., 2004, Zhang et al., 2017). We studied the fluoxastrobin’ subchronic toxicity to Eisenia fetida

240

in artificial soil (Zhang et al., 2018d). The notable increase was only found in 1.0 mg/kg treatments on day 7. The MDA

241

contents were notably higher than those in control except for those in 0.1 mg/kg on day 14, which was similar to the

242

results in fluvo-aquic and black soils. The results in artificial soils reached a maximum of 1.0 mg/kg treatments and then

243

reduced on day 21, which was different from those in the present study. Notable increases were found in 1.0 and 2.5

244

mg/kg treatments on day 28. These results may state that fluoxastrobin toxicity to Eisenia fetida in artificial soil was

245

different from that in natural soils.

246 247

DNA damage (8-OHdG contents)

248

Previous studies (Box and Maccubbin, 1997; Wood et al., 1990) indicated that ROS can cause DNA-protein

249

crosslinking and damage DNA strands including breaks and space structure changes. Deoxyguanosine, one DNA

250

nucleoside component, can be altered to 8-OHdG, which is considered a biomarker to evaluate oxidative stress and

251

DNA damage (Guo et al., 2014). Figure 6 illustrates the 8-OHdG content in Eisenia fetida exposed to fluoxastrobin in

252

the three natural soils.

253



254 255 256

On days 7 and 14, the 8-OHdG contents at diverse exposure concentrations were all notably greater than those in control in all three diverse natural soils except for those in 0.1 mg/kg treatments in all three diverse natural soils. No

11

257

notable discrepancy was found between 1.0 and 2.5 mg/kg treatments in black soil on day 7 and in fluvo-aquic and red

258

clay on day 14. On days 21 and 28, the 8-OHdG contents at diverse exposure concentrations were all notably greater

259

than those in control in all three diverse natural soils except for those in 0.1 mg/kg treatments of fluvo-aquic soils on

260

day 21 and in black soils on day 28. No notable discrepancy was found between 0.1 and 1.0 mg/kg treatments in both

261

fluvo-aquic and black soils and between 1.0 and 2.5 mg/kg in red clay on day 28.

262

The excess ROS could induce the production of 8-OHdG (Zhang et al., 2014). The formation of 8-OHdG indicated

263

that there was oxidative and DNA damage following exposure to fluoxastrobin in Eisenia fetida (Aguirre-Martinez et al.,

264

2013). Another thing stands out in the present study is that in all six environmental indicators of the present study,

265

8-OHdG content was more sensitive to fluoxastrobin.

266 267

Differential toxicity among artificial soil and three test natural soils

268

Integrated Biomarker Response (IBR) was considered the method to evaluate the ecological and environmental

269

conditions (Samanta et al., 2018, Wang et al., 2011). The ROS content, MDA content, and SOD, CAT, GST activity of

270

2.5 mg/kg after 4-week exposure were selected to calculate the IBR index (Figure 7). The values of the fluoxastrobin

271

toxicity to Eisenia fetida in artificial soil were as per our previous study (Zhang et al., 2018d).

272



273 274

In Figure 7A, the IBR values which stand for the fluoxastrobin toxicity were 3.20, 6.35, 6.58, and 4.03 in

275

artificial soil, fluvo-aquic soil, red clay, and black soil, respectively. The higher the IBR value, the higher the

276

fluoxastrobin toxicity. Thus, the fluoxastrobin subchronic toxicity to Eisenia fetida showed a climb form the artificial

277

soil to the natural soils. The subchronic toxicity was highest in red clay and lowest in black soil among the three natural

278

soils.

279 280

In Figure 7B, the crossover points of the orange (red, green, and blue) circle, and the coordinate axis were the end point of each indicator. The length between the original point and end point in the star plot represents the standardized

12

281

value of each index. The black circle was a baseline (zero). The values greater than zero means indicator stimulate,

282

lower than zero means indicator inhibit. The responses of biomarkers indicated the increase of GST activity, ROS and

283

MDA contents in all the artificial and natural soils except for the decrease of GST activity in black soil. The toxic

284

effects were the decrease of SOD and CAT activity in all the artificial and natural soils except for the increase of CAT

285

activity in fluvo-aquic soil and the increase of SOD activity in artificial soil. Besides, the ROS contents in red clay were

286

similar to those in black soil, the GST activities in artificial soils were similar to those in fluvo-aquic soils, and the

287

MDA contents in artificial soils were similar to those in red clay.

288

As the IBR results stated that the subchronic toxic effects of fluoxastrobin to Eisenia fetida in natural soils were

289

different from those in artificial soil. Specifically, the fluoxastrobin subchronic toxicity was highest in red clay and

290

lowest in black soil among the three natural soils. Thus, we considered the toxicology test of fluoxastrobin in artificial

291

soils could not exactly evaluate that in a real environment. The previous study argued that the toxicity of three test

292

pesticides in the field was higher than that in the laboratory (Schnug et al., 2014).

293

Furthermore, the toxic manifestation of fluoxastrobin existed differences in three test natural soils. This important

294

finding stated that the terrestrial toxicity of the test pollutant may be affected by physicochemical properties (Amorim et

295

al., 2005, Stepnowski et al., 2007).

296

Taken together, we evaluated the biochemical responses of Eisenia fetida exposed to fluoxastrobin in natural soils

297

with outcomes significantly different from toxicity observation in artificial soils. Though, fluoxastrobin also induced

298

oxidative and DNA damage in Eisenia fetida in natural soils at different levels, as the IBR results stated that the

299

fluoxastrobin subchronic toxicity was highest in red clay and lowest in artificial soils. Here come questions? Which one

300

or more physicochemical properties of natural soils affect the toxicity of fluoxastrobin? What is the toxicity of

301

fluoxastrobin to soil organisms in the other natural soils? Are the regularities similar to other pesticides or even other

302

environmental pollutants? All these questions may be arbitrated in future studies.

303

13

304

Declarations of interest: None

305 306

Acknowledgements

307

Funding: This work was supported by the National Key R&D Program of China [grant number 2016YFD0800202]; the

308

National Natural Science Foundation of China [grant numbers 41771282, 41701279]; the Natural Science Foundation

309

of Shandong Province, China [grant numbers ZR2017MD005, ZR2017BB075]; the China Scholarship Council program;

310

and the Special Funds of Taishan Scholar of Shandong Province, China.

311

14

312

References

313

Aguirre-Martinez, G.V., Del Valls, T.A., Martin-Diaz, M.L., 2013. Identification of biomarkers responsive to chronic

314 315

exposure to pharmaceuticals in target tissues of Carcinus maenas. Marine Environment Research 7, 1–11. Amorim, M.J.B., Römbke, J., Scheffczyk, A., Soares, A.M.V.M., 2005. Effect of different soil types on the

316

enchytraeids enchytraeus albidus, and enchytraeus luxuriosus, using the herbicide phenmedipham. Chemosphere

317

61, 1102–1114.

318

Box, H.C., Maccubbin, A.E., 1997. Lipid peroxidation and DNA damage. Nutrition 3, 920–921.

319

Bradford, M.M., 1976. A rapid sensitive method for the quantification of microgram quantities of protein utilizing the

320 321 322 323 324 325

principle of protein-dye binding. Analytical Biochemistry 72, 248–254. Brendler-Schwaab, S., Hartmann, A., Pfuhler, S., Speit, G., 2005. The in vivo comet assay: use and status in genotoxicity testing. Mutagenesis 20, 245−254. Dong, X.L., Zhu, L.S., Wang, J.H., Wang, J., Xie, H., Hou, X.X., Jia, W.T., 2009. Effects of atrazine on cytochrome P450 enzymes of zebrafish (Danio rerio). Chemosphere 77, 404−412. Evert, B., Salmon, T., Song, B., Jingjing, L., Siede, W., Doetsch, P.W., 2004. Spontaneous DNA damage in

326

Saccharomyces cerevisiae elicits phenotypic properties similar to cancer cells. Journal of Biological Chemistry 279,

327

22585–22594.

328 329 330

Gestel, C.A.M.V., Ortiz, M.D., Borgman, E., Verweij, R.A., 2011. The bioaccumulation of molybdenum in the earthworm Eisenia andrei: influence of soil properties and ageing. Chemosphere 82, 1614–1619. Guo, Y., Weck, J., Sundaram, R., Goldstone, A.E., Buck, L.G., Kannan, K., 2014. Urinary concentrations of phthalates

331

in couples planning pregnancy and its association with 8-hydroxy-2-deoxyguanosine, a biomarker of oxidative

332

stress: longitudinal investigation of fertility and the environment study. Environmental Science and Technology 48,

333

9804–9811.

334 335

Guo, Y.Y., Liu, T., Zhang, J., Wang, J.H., Wang, J., Zhu, L.S., Yang, J.H., 2016. Biochemical and genetic toxicity of the ionic liquid 1-octyl-3-methylimidazolium chloride on earthworms (Eisenia fetida). Environmental Toxicology

15

336

and Chemistry 35, 411–418.

337

Han, Y.N., Liu, T., Wang, J.H., Wang, J., Zhang, C., Zhu, L.S., 2016. Genotoxicity and oxidative stress induced by the

338

fungicide azoxystrobin in zebrafish (Danio rerio) livers. Pesticide Biochemistry and Physiology 133, 13–19.

339

Hu, S.Q., Zhang, W., Li, J., Lin, K.F., Ji, R., 2016. Antioxidant and gene expression responses of Eisenia fetida

340

following repeated exposure to BDE209 and Pb in a soil-earthworm system. Science of the Total Environment 556,

341

163–168.

342 343 344 345 346

Klára V., Jakub, H., 2012. A comparison of pops bioaccumulation in Eisenia fetida, in natural and artificial soils and the effects of aging. Environmental Pollution 160, 49–56. Kohlschmid, E., Ruf, D., 2016. Is the risk for soil arthropods covered by new data requirements under the eu ppp regulation no. 1107/2009? Environmental Science and Pollution Research 23, 1–8. Liu, T., Chen, D., Li, Y.Q., Wang, X.G., Wang, F.L., 2018. Enantioselective bioaccumulation and toxicity of the

347

neonicotinoid insecticide dinotefuran in earthworms (Eisenia fetida). Journal of Agricultural and Food Chemistry

348

66, 4531–4540.

349

Nel, A, Xia, T., Madler, L., Li, N., 2006. Toxic potential of materials at the nanolevel. Science 311, 622–627.

350

OECD, 1984. Test No 207: Earthworm Acute Toxicity Tests. Organisation for Economic Co-operation and

351 352 353 354 355 356 357 358 359

Development, Paris. OECD, 2004. Test No. 222: Earthworm Reproduction Test (Eisenia fetida/andrei). Organisation for Economic Co-operation and Development, Paris. Samanta, P., Im, H., Na, J., Jung, J., 2018. Ecological risk assessment of a contaminated stream using multi-level integrated biomarker response in, Carassius auratus. Environmental Pollution 233, 429–438. Sanchez, W., Burgeot, T., Porcher, J., 2013. A novel "integrated biomarker response" calculation based on reference deviation concept. Environmental Science and Pollution Research 20, 2721–2725. Sanchez-Hernandez, J.C., Ríos, J.M., Attademo, A.M., Malcevschi, A., Andrade Cares, X., 2019. Assessing biochar impact on earthworms: implications for soil quality promotion. Journal of Hazardous materials 366, 582–591.

16

360

Schnug, L., Jensen, J., Scott-Fordsmand, J.J., Leinaas, H.P., 2014. Toxicity of three biocides to springtails and

361

earthworms in a soil multi-species (SMS) test system. Soil Biology and Biochemistry 74, 115–126.

362 363 364 365 366

Song, Y., Zhu, L.S., Wang, J., Wang, J.H., Liu, W., Xie, H., 2009. DNA damage and effects on antioxidative enzymes in earthworm (Eisenia foetida) induced by atrazine. Soil Biology and Biochemistry 41, 905–909. Stepnowski, P., Mrozik, W., Nichthauser, J., 2007. Adsorption of alkylimidazolium and alkylpyridinium ionic liquids onto natural soils. Environmental Science and Technology 41, 511–516. Wang, C., Lu, G., Peifang, W., Wu, H., Liang, Y., 2011. Assessment of Environmental Pollution of taihu lake by

367

combining active biomonitoring and integrated biomarker response. Environmental Science and Technology 45,

368

3746–3752.

369 370 371

Wang, Y.H., Chen, C., Qian, Y.Z., Zhao, X.P., Wang, Q., 2015. Ternary toxicological interactions of insecticides, herbicides, and a heavy metal on the earthworm Eisenia fetida. Journal of Hazardous materials 284, 233–240. Wood, M.L., Dizdaroglu, M., Gajewski, E., Essigmann, J.M., 1990. Mechanistic studies of ionizing radiation and

372

oxidative mutagenesis: genetic effects of a single 8-hydroxyguanine (7-hydro-8-oxoguanine) residue inserted at a

373

unique site in a viral genome. Biochemistry 29, 7024–7032.

374 375 376 377 378 379 380 381 382 383

Yan, S.H., Wang, J.H., Zhu, L.S., Chen, A.M., Wang, J., 2015. Thiamethoxam induces oxidative stress and antioxidant response in zebrafish (Danio rerio) livers. Environmental Toxicology 31, 1–10. Zhang, C., Du, Z.K., Li, B., Sun, X., Wang, J., Wang, J.H., Zhu, L.S., 2018a. Evaluating toxicity of 1-octyl-3-methylimidazolium hexafluorophosphate to microorganisms in soil. Chemosphere 210, 762–768. Zhang, C., Wang, J., Zhang, S., Zhu, L.S., Du, Z.K., Wang, J.H., 2017. Acute and subchronic toxicity of pyraclostrobin in zebrafish (Danio rerio). Chemosphere 188, 510–516. Zhang, C., Wang, J.H., Dong, M., Wang, J., Du, Z.K., Li, B., Zhu, L.S., 2018b. Effect of 1-methyl-3-hexylimidazolium bromide on zebrafish (Danio rerio). Chemosphere 192, 348–353. Zhang, C., Zhou, T.T., Wang, J., Zhang, S., Zhu, L.S., Du, Z.K., Wang, J.H., 2018c. Acute and chronic toxic effects of fluoxastrobin on zebrafish (Danio rerio). Science of the Total Environment 610-611, 769–775.

17

384

Zhang, C., Zhou, T.T., Zhu, L.S., Du, Z.K., Li, B., Wang, J., Wang, J.H., Sun, Y.A., 2019. Using enzyme activities and

385

soil microbial diversity to understand the effects of fluoxastrobin on microorganisms in fluvo-aquic soil. Science

386

of the Total Environment 666, 89–93.

387

Zhang, C., Zhu, L.S., Wang, J., Wang, J.H., Du, Z.K., Li, B., Zhou, T.T., Cheng, C., Wang, Z.B., 2018d. Evaluating

388

subchronic toxicity of fluoxastrobin using earthworms (Eisenia fetida). Science of the Total Environment 642,

389

567–573.

390

Zhang, L.J., Ji, F.N., Li, M., Cui, Y.B., Wu, B., 2014. Short-term effects of dechlorane plus on the earthworm Eisenia

391

fetida, determined by a systems biology approach. Journal of Hazardous materials 273, 239–246.

392

Zhu, L.S., Dong, X.L., Xie, H., Wang, J., Wang, J.H., Su, J., Yu, C.W., 2011. DNA damage and effects on

393

glutathione-S-transferase activity induced by atrazine exposure in zebrafish (Danio rerio). Environmental

394

Toxicology 26, 480–488.

395

18

396

Figures 7d

Red clay

Fluvo-aquic soil

6000

Black soil c

d

Fluo-intensity/mg pr

5000 b

c

b

a

4000 b

b

c

c

a

3000

2000 a 1000 0

397

5000

c d

14 d

b

b

c c

Fluo-intensity/mg pr

4000

b

c b

a

a

3000

2000 a 1000 0

398

d 6000

Fluo-intensity/mg pr

21 d d

5000

c c

c b

b

c

4000

a

a b 3000

2000 a 1000 0

399 28 d

d 5000 c

d

b

Fluo-intensity/mg pr

c 4000

b

b

0.1

1

a

b

c

a

3000

2000

1000 0

a 0

400

2.5

0

0.1

1

2.5

0

0.1

1

2.5

Concentration (mg/kg)

401

Fig. 1. The ROS content in Eisenia fetida exposed to fluoxastrobin in fluvo-aquic soils, red clay, and black soils at

402

diverse concentrations. The small check in the box plot represents mean values of three replicates. The five lines from

403

top to bottom represent the maximum, means + standard error (SE), median, means – SE, and minimum. Small letter

404

represents significant difference (p < 0.05) among 0 mg/kg and other exposure groups. Pr, protein.

405 19

Fluvo-aquic soil

7d

Red clay

Black soil a

4.5

a

SOD Activity (U/mg pr)

a 4.0

a

b

b

b

bc

3.5

c b

3.0

b

b

2.5

2.0 0

406 14 d

4.5

a

SOD Activity (U/mg pr)

4.0

bc 3.5

b

a

b

ab c

a

b

b

3.0

bc

c

2.5

407 21 d

2.0 0 5.0

b a

SOD Activity (U/mg pr)

4.5

ab

b

a a

4.0

b b

3.5

a

a

3.0

b 2.5

b

2.0

408

28 d

0 5.5

a

SOD Activity (U/mg pr)

5.0 4.5

ab

b

4.0

a 3.5

a

b

a

a

a

a

0.1

1

2.5

3.0

b

2.5

b

2.0 0 0

409

0.1

1

2.5

0

0.1

1

2.5

0

Concentration (mg/kg)

410

Fig. 2. SOD activities in Eisenia fetida exposed to fluoxastrobin in fluvo-aquic soils, red clay, and black soils at diverse

411

concentrations. The small check in the box plot represents mean values of three replicates. The five lines from top to

412

bottom represent the maximum, means + standard error (SE), median, means – SE, and minimum. Small letter

413

represents significant difference (p < 0.05) among 0 mg/kg and other exposure groups. Pr, protein.

414

20

Fluvo-aquic soil

Red clay

Black soil

7d b

7

a

CAT Activity (U/mg pr)

a a

a

6

b b

a a 5

b

a a 4

3 0

415

8

14 d

a a

CAT Activity (U/mg pr)

7

b b 6

c

a

b a a

c

5

a

b

4

3 0

416

8

21 d

d

CAT Activity (U/mg pr)

7

b

c

a

a

6

b

b

bc

b

c

5

4

c

a

3

417

0

7

28 d

CAT Activity (U/mg pr)

6

a

a b

5

b a

a

b

0.1

1

b

c

a 4

b

d

3

2 0 0

418

0.1

1

2.5

0

0.1

1

2.5

0

2.5

Concentration (mg/kg)

419

Fig. 3. CAT activities in Eisenia fetida exposed to fluoxastrobin in fluvo-aquic soils, red clay, and black soils at diverse

420

concentrations. The small check in the box plot represents mean values of three replicates. The five lines from top to

421

bottom represent the maximum, means + standard error (SE), median, means – SE, and minimum. Small letter

422

represents significant difference (p < 0.05) among 0 mg/kg and other exposure groups. Pr, protein.

423

21

7d

Fluvo-aquic soil

180

Red clay

GST Activity (nmol/min/mg pr)

b 160

Black soil

b

b a

140

a

ab

ab 120

a

b

a a

100

b 80

424

0

14 d

a

GST Activity (nmol/min/mg pr)

a

a

140

b b

a 120

a

b

b

a a

100

b 80

60

425

0

21 d

a

180

GST Activity (nmol/min/mg pr)

b 160

c c b

140

b

a

b

b a

120

c a 100

80

426

0

28 d b GST Activity (nmol/min/mg pr)

160

c a

a

140

b

a b 120

b

a

b

a

a

100 0 0

427

0.1

1

2.5

0

0.1

1

2.5

0

0.1

1

2.5

Concentration (mg/kg)

428

Fig. 4. GST activities in Eisenia fetida exposed to fluoxastrobin in fluvo-aquic soils, red clay, and black soils at diverse

429

concentrations. The small check in the box plot represents mean values of three replicates. The five lines from top to

430

bottom represent the maximum, means + standard error (SE), median, means – SE, and minimum. Small letter

431

represents significant difference (p < 0.05) among 0 mg/kg and other exposure groups. Pr, protein.

432 433

22

7d

Fluvo-aquic soil

5.0

Red clay

Black soil

c 4.5

MDA (nmol/mg pr)

c 4.0

b

c

3.5

b

a 3.0

b

a

2.5

a

a

a

a

2.0 1.5 0

434 14 d

4.0

b

c c

b

MDA (nmol/mg pr)

3.5

b

a

a

a

3.0

2.5

c b 2.0

a

a

1.5 0

435 21 d

b

4.5

b

ab

MDA (nmol/mg pr)

4.0

a

3.5

a

a c

3.0

b

2.5

2.0

436

b

a

b a

0

28 d b

4.5

b

b

MDA (nmol/mg pr)

a 4.0

c

3.5

b a 3.0

2.5

a b a

a

ab

2.0 0 0

437

0.1

1

2.5

0

0.1

1

2.5

0

0.1

1

2.5

Concentration (mg/kg)

438

Fig. 5. The MDA content in Eisenia fetida exposed to fluoxastrobin in fluvo-aquic soils, red clay, and black soils at

439

diverse concentrations. The small check in the box plot represents mean values of three replicates. The five lines from

440

top to bottom represent the maximum, means + standard error (SE), median, means – SE, and minimum. Small letter

441

represents significant difference (p < 0.05) among 0 mg/kg and other exposure groups. Pr, protein.

23

7d

Fluvo-aquic soil

190

Black soil

Red clay c

180

8-OHdG (ng/L)

170 160

b

b

c

b

150 a b

140 a 130

a a

a

a

120

442

0

14 d

160

c

150

b

c

b b

ab

8-OHdG (ng/L)

140

bc

a

ab 130

120

a

a a

110

100

443

0

21 d

170

c

160

c d b

150

8-OHdG (ng/L)

c

b

b

140 b 130

a

120 110

a a

a

100

444

0

28 d

160

c c

c

150

c

8-OHdG (ng/L)

140

130

b

ab

b

b

120

bc

a a

a

110

100 0 0

445

0.1

1

2.5

0

0.1

1

2.5

0

0.1

1

2.5

Concentration (mg/kg)

446

Fig. 6. The 8-OHdG content in Eisenia fetida exposed to fluoxastrobin in fluvo-aquic soils, red clay, and black soils at

447

diverse concentrations. The small check in the box plot represents mean values of three replicates. The five lines from

448

top to bottom represent the maximum, means + standard error (SE), median, means – SE, and minimum. Small letter

449

represents significant difference (p < 0.05) among 0 mg/kg and other exposure groups.

450

24

451

Fig. 7. Integrated biomarker response index (A) among all the test toxicology indicators exposed fluoxastrobin to

452

Eisenia fetida at 2.5 mg/kg in different soil types on day 28. The values (B) greater than zero means indicator stimulate,

453

lower than zero means indicator inhibit (Orange line: artificial soil; red line: fluvo-aquic soil; green line: red clay; blue

454

line: black soil).

25

Highlights Effects of fluoxastrobin on earthworms in different types of soils were compared. Subchronic toxicity of fluoxastrobin to Eisenia fetida was systematically evaluated. Toxicity in natural soils may not represent that in artificial soil evaluated by IBR.

Conflicts of interest The authors declare that they have no conflict of interest. All of the authors have read and approved the manuscript. This work has not been published previously, nor is it being considered by any other peer-reviewed journal.