Physiological Effects of Copper Oxide Nanoparticles and Arsenic on

20 hours ago - User Resources. About Us · ACS Members · Librarians · ACS Publishing Center · Website Demos · Privacy Policy · Mobile Site ...
0 downloads 0 Views 2MB Size
Subscriber access provided by Kaohsiung Medical University

Environmental Processes

Physiological Effects of Copper Oxide Nanoparticles and Arsenic on the Growth and Life Cycle of Rice (O.sativa japonica 'Koshihikari') Jing Liu, Madie Simms, Shuai Song, Ryan S. King, and George P. Cobb Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.8b03731 • Publication Date (Web): 07 Nov 2018 Downloaded from http://pubs.acs.org on November 9, 2018

Just Accepted “Just Accepted” manuscripts have been peer-reviewed and accepted for publication. They are posted online prior to technical editing, formatting for publication and author proofing. The American Chemical Society provides “Just Accepted” as a service to the research community to expedite the dissemination of scientific material as soon as possible after acceptance. “Just Accepted” manuscripts appear in full in PDF format accompanied by an HTML abstract. “Just Accepted” manuscripts have been fully peer reviewed, but should not be considered the official version of record. They are citable by the Digital Object Identifier (DOI®). “Just Accepted” is an optional service offered to authors. Therefore, the “Just Accepted” Web site may not include all articles that will be published in the journal. After a manuscript is technically edited and formatted, it will be removed from the “Just Accepted” Web site and published as an ASAP article. Note that technical editing may introduce minor changes to the manuscript text and/or graphics which could affect content, and all legal disclaimers and ethical guidelines that apply to the journal pertain. ACS cannot be held responsible for errors or consequences arising from the use of information contained in these “Just Accepted” manuscripts.

is published by the American Chemical Society. 1155 Sixteenth Street N.W., Washington, DC 20036 Published by American Chemical Society. Copyright © American Chemical Society. However, no copyright claim is made to original U.S. Government works, or works produced by employees of any Commonwealth realm Crown government in the course of their duties.

Page 1 of 26

Environmental Science & Technology

225x127mm (300 x 300 DPI)

ACS Paragon Plus Environment

Environmental Science & Technology

Page 2 of 26

1

Physiological Effects of Copper Oxide Nanoparticles and Arsenic on the Growth and

2

Life Cycle of Rice (O.sativa japonica ’Koshihikari’)

3

Jing Liu a*, Madie Simms a, Shuai Song b, Ryan S King a, George P Cobb a

4

a

5

One Bear Place #97266, Waco, Texas, USA, 76798-7266

6

b

7

Yingze West Street # 79, Taiyuan, Shanxi, China 030024

8

Emails:

9

*Jing

Department of Environmental Science, Baylor University

Department of Civil Engineering, Taiyuan University of Technology

Liu (Corresponding author): [email protected]

10

Madie Simms: [email protected]

11

Shuai Song: [email protected]

12

Ryan S King: [email protected]

13

George P Cobb: [email protected]

1 ACS Paragon Plus Environment

Page 3 of 26

Environmental Science & Technology

14

ABSTRACT

15

A factorial study was conducted to evaluate the phytotoxicity of copper oxide nanoparticles

16

(nCuO, 0.1–100 mg/L), arsenic (As, 0 and 10 mg/kg) and their interaction to rice plants (O.sativa

17

japonica ’Koshihikari’) during the life cycle. No significant effect was observed on seed

18

germination. Main effects of nCuO and As were observed on lengths and biomasses of seedling

19

shoots and roots, and on root branching. The interaction between nCuO and As also significantly

20

influenced these parameters. nCuO addition increased Cu uptake in seedlings and generally

21

improved seedling growth. With As addition, As was highly concentrated in roots and increased

22

in shoots, and seedling growth was also inhibited. Additionally, nCuO and As had significant

23

main and interaction effects on mature plant dry biomass, panicle number, total grain weight,

24

average grain weight, and several other panicle parameters. Moreover, nCuO and As interacted

25

to affect panicle emergence. nCuO also decreased As accumulation in dehusked-grains. The

26

accelerated heading stage by nCuO may help shorten the life cycle of rice plants, thereby

27

reducing As accumulation in grains. This study is the first to examine the influence of nCuO in

28

combination with As on the life cycle of rice plants.

29

Keywords: physiological effects, copper oxide nanoparticles, arsenic, rice, life cycle

30

INTRODUCTION

31

High geogenic content of arsenic (As) or anthropogenic activities (e.g., mining, smelting,

32

agrochemical application) elevate As concentrations in biota and abiotic media, which poses

33

direct or indirect ecological and human health risks. Arsenic causes phytotoxicity in various

34

plants, including rice (Oryza sativa) 1-5. Soil/water-plant systems also limit the transfer of

35

excessive metals to the food chain. Even so, food from terrestrial and aquatic plants can be a

36

primary source of metals for humans. Rice is the main food source of inorganic As for humans,

2 ACS Paragon Plus Environment

Environmental Science & Technology

Page 4 of 26

37

relative to other dietary staples 6, because the unique physiology of rice plants for living in

38

flooded conditions facilitates As accumulation from water 7. Rice-dominated diets present a

39

chronic exposure route that may cause global health concerns, since rice nourishes about half of

40

the world’s population 8. The relationship between As concentrations in human hair and those in

41

rice and agricultural soils supports the soil-plant exposure pathway of humans to As and the

42

inextricable linkage between ecosystems and humans 9.

43

Nanotechnology serves various industrial and domestic purposes including removal of heavy

44

metals (e.g., As, Cr, Cd, Pb, etc.) from water systems using nano-absorbents 10, 11. Particularly,

45

nano-copper oxide (nCuO), one of the most widely used nanoparticles (NPs), has advantages

46

over other nanomaterials as an As sorbent 12, which may in turn alleviate As phytotoxicity.

47

Moreover, Cu-based chemicals have been used in agriculture over several centuries 13. nCuO has

48

the potential to enhance the antimicrobial and fungicidal efficiencies of Cu due to the large

49

surface area to volume ratio. Soils in certain areas of the world are copper deficient, which

50

affects plant growth and crop food quality 14. nCuO exposure can increase Cu concentrations in

51

growing plants 15, 16. Rapid nanotechnology development may pose environmental and human

52

health risks while benefiting society. nCuO can enter the environment from manufacturing

53

byproducts, wastewater discharge in nano-industry, and nano-product disposal after application.

54

Adverse effects of nanomaterials, including nCuO, have been observed in plants including rice

55

17, 18.

56

plants before widespread agricultural application, and to evaluate any differentiating effects as

57

compared to bulk CuO. Furthermore, the interaction of nCuO and As in the environment is

58

poorly understood, as are the mechanisms of resultant uptake by rice plants. This research

59

investigated the effects of nCuO and As co-exposure during the entire life cycle of rice plants.

60

The hypotheses are: 1) nCuO and As have individual main effects on rice seed germination and

Understanding of potential nCuO effects on crops is needed to minimize phytotoxicity to

3 ACS Paragon Plus Environment

Page 5 of 26

Environmental Science & Technology

61

developmental parameters during the life cycle, 2) nCuO and As interactions alter rice plant

62

growth during the life cycle, and 3) nCuO can alleviate some adverse effects of As on rice plant

63

growth and reduce As accumulation in dehusked rice grains.

64

MATERIALS AND METHODS

65

Life Cycle Test in the Greenhouse

66

Two types of commercial soils (60% Grainger, Catalog # 2258, 40% Lowe’s, # 235384) were

67

homogenized as growth media for rice (O.sativa japonica ’Koshihikari’, Kitazawa Seed

68

Company, CA, USA). Arsenic (0 and 10 mg/kg) in the form of Na2HAsO4·7H2O (Sigma-

69

Aldrich, lot # BCBM0939V) was added to the soil mixture and equilibrated for one week. nCuO

70

(Nano-Arc®, 97.5%, 23–37 nm, APS powder, Alfa Aesar, MA, USA) was prepared at six

71

concentrations (0, 0.1, 1.0, 10, 50,100 mg/L) in 20% Hoagland’s solution [Supporting

72

Information (SI), Table S1]. There were 12 treatments (2×6 combinations of nCuO and As),

73

including one control with neither As nor nCuO, and one treatment that received only As.

74

Twenty replicate growth containers (Berry Plastics ID: T60785CP, 2.5 L) were prepared for each

75

treatment. Ten seeds were wet-seeded in each container, and seedlings were thinned to 2 well-

76

established ones on day 18. The study was conducted in a greenhouse for 131 d. Procedural

77

details are included in SI.

78

Characterization of Nanoparticles and Soils

79

Hydrodynamic diameter and zeta potential of nCuO in Hoagland’s solution were determined

80

with a Malvern Zetasizer Nano ZS before addition to growth containers (SI Table S2). nCuO dry

81

powder was imaged with a scanning electron microscope (SEM, FEI Company). NPs in

82

solutions were sampled on day 14 and characterized using a transmission electron microscope

83

(TEM, JEM-1010, JEOL Inc.) with a dried aliquot on a formvar-carbon coated 200 mesh Cu4 ACS Paragon Plus Environment

Environmental Science & Technology

Page 6 of 26

84

TEM grid (SI Figure S4). Soil particles were characterized with Mastersizer 2000 for size

85

distribution. Standard soil properties were also characterized using standard methods (SI Table

86

S3).

87

Seed Germination and Seedling Growth Measurements

88

Seed germination was monitored daily until seedling collection on day 18. Shoot length (SL,

89

from the root-shoot junction to the tip of the longest leaf) and root length (RL, from the root-

90

shoot junction to the tip of the primary root) were measured along with the number of root

91

branches (NRB) (primary root and adventitious roots) and dry weights (DWs) of shoots and

92

roots.

93

Heading Process, Panicle and Plant Biomass Measurements

94

Panicles numbers were recorded daily once the heading process began, when the tip of a panicle

95

emerged from the sheath of a flag leaf. The following parameters were recorded for each

96

replicate container after harvesting panicles and plants: total number of ripe panicles (TNRP),

97

each panicle axis length (PAL), numbers of primary branches and secondary branches per

98

panicle (PBN and SBN), spikelet numbers per panicle (SN), total dry weight of panicles (TPW,

99

including the axes of panicles and branches, and all spikelets), total grain dry weight (TGW), dry

100

weights (DWs) of mature plant straw and roots. Average grain dry weight (AGW) was

101

determined for each treatment. Grain to straw and root to straw dry weight ratios (GSR and RSR)

102

were also determined.

103

Copper and Arsenic Concentrations in Growth Media, Seedlings, and Grains

104

Total Cu and As concentrations in the growth media (soil and solution), 18-d seedling shoots and

105

roots, and dehusked-grains were determined by ICP-MS (Agilent 7900) after digestion (adapted

106

method from USEPA 3050B for solid samples, adapted method from USEPA 200.8 for solution 5 ACS Paragon Plus Environment

Page 7 of 26

Environmental Science & Technology

107

samples) 19, 20. Total Cu and As concentrations were measured in the test solution and in the soil

108

mixture before adding solutions and after harvesting plants (SI Table S4-6).

109

Statistical Analysis

110

Statistical analyses were performed with individual growth containers as the statistical unit.

111

Generalized linear models (GLMs) were used to analyze the effects of nCuO and As on the

112

growth parameters of rice plants and the interaction of nCuO and As on these parameters.

113

Generalized linear mixed modeling (GLMM) was used to analyze the effect of nCuO and As on

114

the heading process with repeated measurement throughout the experiment. Analysis of variance

115

(ANOVA) was conducted to determine the main effects of nCuO and As, and their interaction

116

effects. Means were considered significantly different when p < 0.05. Regression models were

117

developed between parameters to analyze their relationships. All statistical analyses were

118

performed in R (version 3.3.2) with details provided in SI.

119

RESULTS

120

The soil particle characterized by size with Mastersizer 2000 was 4.2% ± 0.2%, 56% ± 1% and

121

40% ± 1.2% of clay, silt and sand, respectively. The soil texture was classified as silt loam 21.

122

Organic matter content ranged from 3.5% to 3.9% in soils before growing plants, which

123

explained the high exchange capacity (18.8–29.0 meq /100 g) of soil colloids (SI Table S3).

124

Exchangeable cations associated with soil colloids were Ca2+, Mg2+, K+, and Na+. Their base

125

saturation percentages were 70.2%–76.1%, 12.3%–15.4%, 9.0%–11.6%, 2.7%–4.1%,

126

respectively. These exchangeable cations are generally available to plants by replacing hydrogen

127

ions from root hairs 21. The measured high phosphorus in basic soils after rice harvest indicated a

128

proper nutrient application 22.

6 ACS Paragon Plus Environment

Environmental Science & Technology

Page 8 of 26

129

Seed Germination and 18-d Seedling Growth

130

Mean rice seed germination success ranged from 87%–94% and was independent of nCuO or As

131

addition (p > 0.31, SI Figure S5).

132

Significant individual main effects of As and nCuO were observed on the SL, although no

133

difference was found in nCuO treatments compared with control. The interaction between As

134

and nCuO was also significant (p < 0.05) (Figure 1, SI Table S7). nCuO decreased SL at 100

135

mg/L compared with 1.0 mg/L, and As alone increased SL by 12% compared with control.

136

Arsenic addition to the high nCuO treatment (100 mg/L) increased the SL by 18% relative to the

137

corresponding nCuO treatment alone. More prominent main effects and interaction of As and

138

nCuO were observed for shoot DW compared to the SL. nCuO treatments at or above 1.0 mg/L

139

increased shoot DW by 20%–30% (p < 0.05). Whereas, As addition to higher nCuO

140

concentrations (50 and 100 mg/L) decreased shoot DW by 13% and 15%, respectively,

141

corresponding to the same nCuO concentration alone (p < 0.05).

142

Seedling RL was influenced by both As and nCuO (p < 0.05), and there was a significant

143

interaction between the two substances. Specifically, nCuO alone increased RL by 34%–49%

144

compared with control (in treatments at or above 1.0 mg/L), while RL was decreased by 16%–

145

18% by As addition compared with the same concentration (1.0, 10 and 100 mg/L) of nCuO (p
6.2 mg/L phosphorus), which were observed in our study, may also have enhanced

336

As desorption from nCuO or other sorption surfaces due to the competition for adsorption sites12.

337

In addition, organic and inorganic root exudates (e.g., low molecular organic acids such as citrate

338

and malate, and CO2) also changed the environment (e.g., pH, Eh, organic matter content, CEC)

339

in the rhizosphere 39, 45. Thus, the interaction of As with nCuO was more complex in our study.

340

The increase in shoot biomass that we observed at high nCuO concentrations (50 and 100 mg/L)

341

was possibly due to the adequate uptake of Cu in the shoot (17.3 and 18.3 mg/kg), which is

342

within the range of 15–26 mg/kg found by other research groups 46. For example, organic matter

343

decreases the Cu bioavailability, while polyfunctional acids in plant exudates increase Cu

344

bioavailability 40, 45. According to our previous 72-h aggregation and dissolution experiment 38,

345

decreased seedling biomass caused by 0.1 mg/L nCuO, was probably because nCuO equilibrated

346

at a smaller size after the aggregation dominated phase (48 h) and these smaller nCuO particles

347

interacted with plants.

348

Intrinsic Regulatory Mechanism

349

Overall, roots are more sensitive than shoots to environmental stressors because roots are the

350

dominant location for hormone (e.g., cytokinins) generation 47. Roots not only anchor the plant,

351

assure supplies of water, minerals and nutrients, but also influence hormonal messages in shoots.

352

Roots can change the output of root hormones or precursors (e.g. cytokinins or the ethylene

353

precursor 1-aminocyclopropane-1-carboxylic acid) to shoots or act as sinks for shoot produced

354

phloem-mobile hormones [e.g. abscisic acid (ABA)] 48. 19 ACS Paragon Plus Environment

Page 21 of 26

Environmental Science & Technology

355

Effects on root growth can be explained by inter-regulated intrinsic and extrinsic response

356

pathways. External stress (e.g., As) can influence hormone messages in roots and shoots by

357

altering gene expressions that regulate phytohormone biosynthesis, inactivation, and signaling 49.

358

In our study, RBN was increased by nCuO and decreased by As, indicating that both chemicals

359

may have differentially influenced processes that regulate root cell division and branching

360

process, which needs further study.

361

Human Health Implication of Copper and Arsenic Accumulation in Dehusked-grains

362

Dehusked rice grains, the edible part for humans, present an exposure pathway for As to

363

potentially affect human health. In our study, As accumulation in dehusked-grains decreased at

364

all test nCuO+As treatments compared with As alone treatment (SI, Table S12). The lowest As

365

accumulation in the dehusked-grains among all As treatments was 128 ± 15.4 ng/g, which was

366

observed in the As+nCuO 50 mg/L treatment and was 36% lower than the WHO maximum safe

367

concentration of As in white rice (200 ng/g) for humans 50. Whereas, the confidence interval of

368

As in dehusked-grains for As alone treatment included 200 ng/g (SI Table S12). A 60-kg person

369

with a daily ingestion of 200 g of rice containing 200 ng/g As would experience an As exposure

370

rate at 0.67 µg/kg/day. This is lower than the no-observed-adverse-effect level (NOAEL, 0.80

371

µg/kg/day) for human cardiovascular effects (ischemic heart disease, mortality), hepatic effects

372

(increased serum alkaline phosphatase and bilirubin), dermal effects (hyperkeratosis and

373

hyperpigmentation), and intelligence performance 51. In contrast, rice containing 128 ng/g As

374

translates to an exposure of 0.43 µg/kg/day, which approximates the NOAEL (0.40 µg/kg/day)

375

for gastrointestinal effects (gastrointestinal irritation, diarrhea, nausea), dermal effects

376

(pigmentation changes with hyperkeratosis). The Minimal Risk Level for effects (other than

377

cancer) is also set at 0.4 µg/kg/day 51. Therefore, 128 µg/kg/day can lower As exposure and

20 ACS Paragon Plus Environment

Environmental Science & Technology

Page 22 of 26

378

avoid known human effects as reported by US ATSDR for humans who consume at least 200 g

379

of rice per day 51.

380

Furthermore, although As inhibited nCuO induced increases in panicle emergence, the negative

381

correlation between Cu and As accumulation in dehusked-grains indicated an antiport process of

382

the two elements by rice grains, of which the mechanism is yet unclear.

383

Our study is the first study to evaluate the interaction of As and nCuO on the effects during the

384

life cycle of rice plants 52. By combining nCuO and As into one study and working in silt loam

385

growth media containing As at concentrations near the average As concentration in soil from

386

Texas, USA and lower than previously reported experiments, we have extended the knowledge

387

of rice sensitivity to commonly encountered elements in the environments. nCuO not only

388

contains the essential element Cu which can serve as an antimicrobial agent for rice plant, nCuO

389

also has the potential to decrease As bioavailability These are promising characteristics for

390

application in agriculture. More studies are underway to better understand nCuO and As

391

accumulation and speciation in rice plants and grains, which may facilitate existing work to

392

address possible influences of nCuO and As on food safety and the nutritional quality of rice.

393

21 ACS Paragon Plus Environment

Page 23 of 26

Environmental Science & Technology

394

ACKNOWLEDGMENT

395

This work was supported by “C. Gus Glasscock, Jr. Endowed Fund for Excellence in

396

Environmental Sciences in the College of Arts and Sciences” at Baylor University. The authors

397

thank Robert Doyle for sharing the greenhouse. The authors thank Dr.Alejandro Ramirez (Baylor

398

University Mass Spectrometry Center) and Dr. Bernd Zechmann (Center for Microscopy and

399

Imaging, Baylor University) for technical support, and Steve Dorwkin for facilitating soil

400

particle size analysis.

401

DECLARATION OF INTEREST STATEMENT

402

The authors report no competing financial interest, and are responsible for the publication.

403

SUPPORTING INFORMATION AVAILABLE.

404

Additional text describing fertilizer application, soil property characterization and statistical

405

analysis; 6 figures showing the conceptual model of treatment preparation and exposure process,

406

record of light intensity, temperature and humidity, images with SEM and TEM of grain husk

407

and nanoparticles, seed germination percentages, and relationships between rice panicle

408

parameters; 13 tables showing Hoagland’s solution composition, nCuO characterization, Cu and

409

As concentrations in the growth media, and physiological parameters of 18-d rice seedlings and

410

mature rice plants, uptake of Cu and As in seedling shoots and roots, and accumulation of Cu

411

and As in dehusked-grains. This information is available free of charge via the Internet at

412

http://pubs.acs.org.

22 ACS Paragon Plus Environment

Environmental Science & Technology

Page 24 of 26

413

REFERENCES

414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456

1. Li, C.-X.; Feng, S.-L; Yun, S.; Jiang, L.-N; Lu, X.-Y.; Hou, X.-L. Effects of arsenic on seed germination and physiological activities of wheat seedlings. J Environ Sci. 2007, 19, (6), 725-732. 2. Shri, M.; Kumar, S.; Chakrabarty, D.; Trivedi, P. K.; Mallick, S.; Misra, P.; Shukla, D.; Mishra, S.; Srivastava, S.; Tripathi, R. D. Effect of arsenic on growth, oxidative stress, and antioxidant system in rice seedlings. Ecotoxicol Environ Saf 2009, 72, (4), 1102-1110. 3. Carbonell, A.; Aarabi, M.; DeLaune, R.; Gambrell, R.; Patrick Jr, W. Arsenic in wetland vegetation: availability, phytotoxicity, uptake and effects on plant growth and nutrition. Sci Total Environ 1998, 217, (3), 189-199. 4. Farooq, M. A.; Islam, F.; Ali, B.; Najeeb, U.; Mao, B.; Gill, R. A.; Yan, G.; Siddique, K. H.; Zhou, W. Arsenic toxicity in plants: cellular and molecular mechanisms of its transport and metabolism. Environ Exper Bot 2016, 132, 42-52. 5. Meharg, A. A.; Rahman, M. M. Arsenic contamination of Bangladesh paddy field soils: implications for rice contribution to arsenic consumption. Environ Sci Technol 2003, 37, (2), 229-234. 6. Dudka, S.; Miller, W. P. Accumulation of potentially toxic elements in plants and their transfer to human food chain. J Environ Sci Health B. 1999, 34, (4), 681-708. 7. Williams, P. N.; Villada, A.; Deacon, C.; Raab, A.; Figuerola, J.; Green, A. J.; Feldmann, J.; Meharg, A. A. Greatly enhanced arsenic shoot assimilation in rice leads to elevated grain levels compared to wheat and barley. Environ Sci Technol 2007, 41, (19), 6854-9. 8. Callaway, E. Domestication: the birth of rice. Nature 2014, 514, (7524), S58-S59. 9. Anawar, H. M.; Rengel, Z.; Damon, P.; Tibbett, M. Arsenic-phosphorus interactions in the soil-plant-microbe system: Dynamics of uptake, suppression and toxicity to plants. Environ Pollut. 2018, 233, 1003-1012. 10. Sadegh, H.; Ali, G. A.; Gupta, V. K.; Makhlouf, A. S. H.; Shahryari-ghoshekandi, R.; Nadagouda, M. N.; Sillanpää, M.; Megiel, E. The role of nanomaterials as effective adsorbents and their applications in wastewater treatment. J. Nanostructure Chem. 2017, 7, (1), 1-14. 11. Singh, S.; Barick, K.; Bahadur, D. Functional oxide nanomaterials and nanocomposites for the removal of heavy metals and dyes. Nanomater Nanotechno. 2013, 3, 20. 12. Martinson, C. A.; Reddy, K. Adsorption of arsenic (III) and arsenic (V) by cupric oxide nanoparticles. J Colloid Interf Sci. 2009, 336, (2), 406-411. 13. Mukerjee, L.; Srivastava, S. Bordeaux mixture and related compounds as emulsifiers. Kolloid-Zeitschrift. 1957, 150, (2), 148-151. 14. Purves, D.; Ragg, J. M. Copper-deficient soils in southeast scotland. Eur J Soil Sci. 1962, 13, (2), 241-246. 15. Dimkpa, C. O.; McLean, J. E.; Latta, D. E.; Manangón, E.; Britt, D. W.; Johnson, W. P.; Boyanov, M. I.; Anderson, A. J. CuO and ZnO nanoparticles: phytotoxicity, metal speciation, and induction of oxidative stress in sand-grown wheat. J Nanopart Res. 2012, 14, (9), 1-15. 16. Ma, X.; Geiser-Lee, J.; Deng, Y.; Kolmakov, A. Interactions between engineered nanoparticles (ENPs) and plants: phytotoxicity, uptake and accumulation. Sci Total Environ. 2010, 408, (16), 3053-3061. 17. Lin, D.; Xing, B. Phytotoxicity of nanoparticles: Inhibition of seed germination and root growth. Environ Pollut.2007, 150, (2), 243-250.

23 ACS Paragon Plus Environment

Page 25 of 26

457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502

Environmental Science & Technology

18. Yang, Z.; Chen, J.; Dou, R.; Gao, X.; Mao, C.; Wang, L., Assessment of the phytotoxicity of metal oxide nanoparticles on two crop plants, maize (Zea mays L.) and rice (Oryza sativa L.). Int J Environ Res Public Health. 2015, 12, (12), 15100-15109. 19. USEPA, EPA Method 200.8: Determination of trace elements in waters and wastes by Inductively Coupled Plasma-Mass Spectrometry. 1994. 20. USEPA, EPA Method 3050B: Acid digestion of sediments, sludges, and soils. 1996. 21. Weil. Ray R; Brady, N. C.; Weil, R. R., The Nature and Properties of Soils. 15th ed.; Pearson Education: Columbus, 2016. 22. Mallarino, Antonio P.; Sawyer, John E.; and Barnhart, Stephen K., A General Guide for Crop Nutrient and Limestone Recommendations in Iowa. Extension and Outreach Publications: Iowa State University, 2013. 23. Moldenhauer, K.; Slaton, N. Rice growth and development. In Arkansas Rice production Handbook; Hardke J.T., Eds.; University of Arkansas Division of Agriculture Cooperative Extension Service: Arkansas 2001; 7–14. 24. Yoshida, S., Fundamentals of Rice Crop Science. The International Rice Research Institute: Los Baños, Philippiones 1981. 25. Counce, P.A.; Gealy, Davidi R.; Sung, Shi-Jean Susana. Rice Physiology. In: Smith, C.W., comps., eds. Rice. New York, NY: John Wiley and Sons Ltd. 2002; 129-152. 26. Maclean, J.L.; Dawe,D.C.; Hardy,B.; and Hettel,G.P.; Rice Almanac: Source Book for the Most Important Economic Activities on Earth. 3rd ed.; CABI publishing: Los Baños, Philippines, 2013. 27. Peng, C.; Xu, C.; Liu, Q.; Sun, L.; Luo, Y.; Shi, J. Fate and transformation of CuO nanoparticles in the soil-rice system during the life cycle of rice plants. Environ Sci Technol. 2017, 51, (9), 4907-4917. 28. Rahman, M. A.; Hasegawa, H.; Rahman, M. M.; Islam, M. N.; Miah, M. M.; Tasmen, A. Effect of arsenic on photosynthesis, growth and yield of five widely cultivated rice (Oryza sativa L.) varieties in Bangladesh. Chemosphere 2007, 67, (6), 1072-1079. 29. Fageria, N. K. Yield physiology of rice. J Plant Nutr 2007, 30, (4-6), 843-879. 30. Schiere, J. B.; Joshi, A. L.; Seetharam, A.; Oosting, S. J.;, Goodchild, A. V.; Deinum, B.; and Van Keulen, H. Grain and straw for whole plant value: implications for crop management and genetic improvement strategies. Experimental Agriculture 2004, 40, (3), 277–94. 31. Zhang, R.; Jenkins, B. M., Commercial uses of straw. Agricultural Mechanization and Automation 2009, 2, 308. 32. Ito, Ryuji. Significance of grain/straw ratio in rice breeding. Japan Agricultural Research Quarterly 1975, 9, (4), 181–90. 33. Poeplau, C. Estimating root: shoot ratio and soil carbon inputs in temperate grasslands with the RothC model. Plant and Soil 2016, 407, (1), 293–305. 34. Lin, Z.; Puls, R. W. Adsorption, desorption and oxidation of arsenic affected by clay minerals and aging process. Environ Geol 2000, 39, (7), 753-759. 35. Tang, X.-Y.; Zhu, Y.-G.; Shan, X.-Q.; McLaren, R.; Duan, J. The ageing effect on the bioaccessibility and fractionation of arsenic in soils from China. Chemosphere 2007, 66, (7), 1183-1190. 36. Onken, B.; Hossner, L. Plant uptake and determination of arsenic species in soil solution under flooded conditions. J Environ Qual. 1995, 24, (2), 373-381. 37. Abedin, M. J.; Meharg, A. A. Relative toxicity of arsenite and arsenate on germination and early seedling growth of rice (Oryza sativa L.). Plant and soil. 2002, 243, (1), 57-66.

24 ACS Paragon Plus Environment

Environmental Science & Technology

503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538

Page 26 of 26

38. Liu, J.; Dhungana, B.; Cobb, G. P. Copper oxide nanoparticles and arsenic interact to alter seedling growth of rice (Oryza sativa japonica). Chemosphere 2018, 206, 330-337. 39. Conway, J. R.; Adeleye, A. S.; Gardea-Torresdey, J.; Keller, A. A. Aggregation, dissolution, and transformation of copper nanoparticles in natural waters. Environ Sci Technol. 2015, 49, (5), 2749-2756. 40. Warren, L. A.; Outridge, P. M.; and Zimmerman, A. P. Geochemical partitioning and bioavailability of copper to aquatic plants in an artificial oxide-organic sediment. Hydrobiologia 1995, 304, (3), 197–207. 41. Summers, A. O., Damage control: regulating defenses against toxic metals and metalloids. Curr Opin Microbiol. 2009, 12, (2), 138-144. 42. Atha DH; Wang H; Petersen EJ; Cleveland D; Holbrook RD; Jaruga P, Dizdaroglu M; Xin B; and Nelson BC. Copper oxide nanoparticle mediated DNA damage in terrestrial plant models. Environ Sci Technol 2012, 46, 1819–1827. 43. Wang S; Liu H; Zhang Y; Xin H. The effect of CuO nanoparticles on reactive oxygen species and cell cycle gene expression in roots of rice. Environ Toxicol Chem 2015.34, 554–561. 44. Shaw AK, Hossain Z. Impact of nano-CuO stress on rice (Oryza sativa L.) seedlings. Chemosphere 2013, 93, 906–915. 45 Anderson, A.; McLean, J.; McManus, P.; Britt, D. Soil chemistry influences the phytotoxicity of metal oxide nanoparticles. Int J Nanotechnol 2017, 14, (1-6), 15-21. 46. Fageria, N. K. Adequate and toxic levels of copper and manganese in upland rice, common bean, corn, soybean, and wheat grown on an oxisol. Commun Soil Sci Plan. 2001, 32, (9–10), 1659–76. 47. Walter, A.; Schurr, U. Dynamics of leaf and root growth: endogenous control versus environmental impact. Ann. Bot. 2005, 95, (6), 891-900. 48. Jackson, M. B. Are plant hormones involved in root to shoot communication? In Advances in Botanical Research; Academic Press: Bristol, UK 1993; 19,103–87. 49. Huang, Tsai-Lien; Quynh Thi Thuy, Nguyen; Fu, Shih-Feng; Lin, Chung-Yi; Chen, Ying-Chih; and Huang, Hao-Jen. Transcriptomic changes and signaling pathways induced by arsenic stress in rice roots. Plant Molecular Biology 2012, 80, (6), 587–608. 50. Commission, C. A. Proposed Draft Maximum Levels for Arsenic in Rice. Codex Committee on Contaminants in Foods; Sixth Session; Maastricht, The Netherlands, 2012. 51. ATSDR. Toxicological Profile for Arsenic; Agency for Toxic Substances and Disease Registry, Atlanta, GA: U.S. 2007. 52. Liu, J.; Dhungana, B.; Cobb, G. P. Environmental behavior, potential phytotoxicity, and accumulation of copper oxide nanoparticles and arsenic in rice plants. Environ Toxicol Chem. 2018, 37, (1), 11-20.

25 ACS Paragon Plus Environment