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Ecotoxicology and Human Environmental Health

Effects of Arsenic on Gut Microbiota and Its Biotransformation Genes in Earthworm Metaphire sieboldi Hong-Tao Wang, Dong Zhu, Gang Li, Fei Zheng, Jing Ding, Patrick J O’Connor, Yong-Guan Zhu, and Xi-Mei Xue Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.8b06695 • Publication Date (Web): 15 Mar 2019 Downloaded from http://pubs.acs.org on March 16, 2019

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Effects of Arsenic on Gut Microbiota and Its Biotransformation

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Genes in Earthworm Metaphire sieboldi

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Hong-Tao Wang,a,b Dong Zhu,a,b Gang Li, a Fei Zheng,a,b Jing Ding,c Patrick J

4

O’Connor,d Yong-Guan Zhu,a,b,c and Xi-Mei Xue*,a

5

a

6

Chinese Academy of Sciences, 1799 Jimei Road, Xiamen 361021, China

7

b

8

China

9

c

Key Laboratory of Urban Environment and Health, Institute of Urban Environment,

University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing 100049,

State Key Laboratory of Urban and Regional Ecology, Research Center for

10

Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China

11

d

12

Australia

Centre for Global Food and Resources, University of Adelaide, Adelaide 5005,

13 14

*Address Correspondence to Xi-Mei Xue,

15

Address: Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei

16

Road, Xiamen 361021, China

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Phone number: +86(0)592 6190559

18

Fax number: +86(0)592 6190977

19

Email address: [email protected]

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ABSTRACT:

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Arsenic biotransformation mediated by gut microbiota can affect arsenic

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bioavailability and microbial community. Arsenic species, arsenic biotransformation

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genes (ABGs) and the composition of gut microbial community were characterized

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after the earthworm Metaphire sieboldi was cultured in soils spiked with different

30

arsenic concentrations. Arsenite (As(III)) was the major component in the earthworm

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gut, while arsenate (As(V)) was predominant in the soil. A total of 16 ABGs were

32

quantified by high-throughput quantitative polymerase chain reaction (HT-qPCR).

33

Genes involved in arsenic redox and efflux were predominant in all samples, and the

34

abundance of ABGs involved in arsenic methylation and demethylation in the gut was

35

very low. These results reveal that the earthworm gut can be a reservoir of microbes

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with the capability of reducing As(V) and extruding As(III), but with little

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methylation of arsenic. Moreover, gut microbial communities were dominated by

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Actinobacteria, Firmicutes and Proteobacteria at the phylum level, and were

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considerably different from those in the surrounding soil. Our work demonstrates that

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exposure to As(V) disturbs the gut microbiota of earthworms and provides some

41

insights into arsenic biotransformation in the earthworm gut.

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INTRODUCTION

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Arsenic is widely distributed in the soil and can be bio-accumulated through the food

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web in soil, plants and animals.1-3 Arsenic bioaccumulation can result in toxicity for

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soil biota and may ultimately affect human health. Most of previous studies

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concentrated on the bio-concentration and toxicity of environmental arsenic in the

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earthworm. Using a laboratory vermicomposting system, Fischer and Koszorus4

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studied the sublethal effects, lethal concentrations, accumulation and elimination of

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arsenic, selenium, and mercury in Eisenia foetida. The effect of edaphic factors (pH,

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depth in soil profile, and soil organic matter content) on the toxicity and accumulation

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of arsenate (As(V)) were investigated in the earthworm Lumbricus terrestris.5

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Furthermore, a few laboratory and field surveys investigated diverse arsenic species in

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earthworm body tissue.6,

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Dendrodrilus rubidus collected from the arsenic mine and an uncontaminated soil was

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arsenobetaine.8 In addition, earthworm activity may influence the species, mobility,

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and partitioning of metals and metalloids in soil and pore waters by changing soil pH,

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soluble organic carbon, or microbial communities.9 However, these studies mostly

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focused on arsenic toxicity on earthworm and arsenic species in earthworm body

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tissues or gut, with little attention to the mechanism of arsenic detoxification or

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biotransformation in the earthworm gut.

7

The only organoarsenicals found in L. rubellus and

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Many of the ecosystem processes attributed to soil fauna may in fact be mediated

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by the microbiome of those fauna, which is an important part of soil microorganism

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process and will exert influence on the host metabolism and health.10-12 For example, 3

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earthworm gut microbiota has been shown to be involved in organic matter

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decomposition, denitrification, nutrient stabilization, and other biogeochemical

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cycles.13-15 The earthworm gut is considered to be a transient habitat for the microbes

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of aerated soils.14 During passage through the gut, the unique micro-environment of

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the gut of different species of earthworms from different environments appears to

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selectively stimulate a specific subset of ingested soil microbes.14, 15 This selection of

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earthworm gut microbiota has been shown to be influenced in the presence of

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environment contaminants such as triclosan,16 and arsenic.17 In addition, the use of the

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earthworm as an bioindicator of arsenic contamination was assessed by analyzing the

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effects of arsenic on earthworm toxicity.18 Only a recent study revealed that soil

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arsenic contamination could altered microbiome of the earthworm.17 However,

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comprehensive studies of the interactions between arsenic species and the gut

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bacterial flora of earthworms have not been undertaken.

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Microbe-mediated arsenic metabolism plays an important role in arsenic

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biogeochemical cycle, different types of genes involving in arsenic metabolism

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encode proteins regulating arsenic species and solubility in environment.19-21 For

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example, arsenic redox genes encoding cytoplasmic As(V) reductase (ArsC),

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respiratory As(V) reductase (ArrAB), and As(III) oxidase (AioAB) perform an impact

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on the species transformation between As(V) and As(III),21 and then change arsenic

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toxicity and bioavailability. Arsenic methylation or demethylation is catalyzed by an

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As(III) S-adenosylmethionine methyltransferase (ArsM) or a nonheme iron-dependent

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dioxygenase with C·As lyase activity (ArsI).22 Organisms can also mobilize arsenic 4

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via phosphate transporters, aquaglyceroporins, or As(III) efflux systems.23 Using

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qPCR amplifications with five primer pairs, Zhang et al.24 showed that ABGs

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involved in arsenic redox reactions and methylation were widely distributed in paddy

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soils. Metagenomic analysis was applied to reveal the co-existence of different arsenic

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resistance system of microbes in low-arsenic soil habitats.25 Arsenic species changes

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in earthworm body tissues associated with the related genes of arsenic detoxification

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and biotransformation in the earthworm gut which is an anaerobic environment, like

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flooded paddy soil.15 However, there is still relatively little known about the

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distribution, diversity and abundance of

arsenic biotransformation genes (ABGs) in

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soil fauna, not to mention the relationship between arsenic species and ABGs in the

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gut of soil fauna.

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To understand the influence of arsenic contamination in soils on earthworm gut

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microflora and the relationships between arsenic species and ABGs in the gut, this

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study was designed to: 1) determine arsenic species in the earthworm gut and tissues

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after exposure to arsenic contaminated soils; 2) characterize the diversity and

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abundance of ABGs in the earthworm gut; 3) profile the microbial communities in the

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soil and the earthworm gut; and 4) examine the difference in the diversity of gut

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microbial communities after earthworms were exposed to different

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concentrations.

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MATERIALS AND METHODS

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Soil and Earthworm Preparation. Soil samples, which were not contaminated with

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arsenic, were collected in 2017 from disused farmland in Xiamen City, south-east

arsenic

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China. Detailed physical-chemical properties of the soil are described in Table S1 of

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the Supporting Information (SI). The soil was ground in an agate mortar and sieved

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through 2 mm nylon sieves after being separated from gravel particles and litter, and

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then air-dried at room temperature. The stock solution of As(V) (448 mg L-1),

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prepared by dissolving Na3AsO4·12H2O (Chemically pure, Chemical Reagent

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Purchasing and Supply Station, Shanghai, China) in Milli-Q water (18.2 MΩ,

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Millipore, UK), was mixed thoroughly with 900 g of the homogenized soil in

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polyethylene plastic containers (25×15×12 cm) (Runpeng Plastic Co., Ltd., Jieyang,

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Guangdong, China) to yield a final concentration of control (7), 70, 140 and 280 mg

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As(V) kg−1 dry soil. The spiked soils had a water content of 30% and were activated

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for 14 days under laboratory conditions (20 oC, 12 h light: 12 h dark cycle).

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Adult earthworms (M. sieboldi) of the same age, with well-developed clitellum,

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purchased from an earthworm company in Nanjing City, were acclimated for 14 days

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in the untreated soil under laboratory conditions prior to the experiment. Oatmeal

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(Nanguo Food Industry Co., Ltd., Haikou, Hainan, China) as food source was added

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to the soil. Earthworm species was confirmed by sequencing the cytochrome oxidase I

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(COI)

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(5’-GGTCAACAAATCATAAAGATATTGG-3’)

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(5’-TAAACTTCAGGGTGACCAAAAAATCA-3’)).17, 26, 27 The sequences obtained

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were submitted to the National Center for Biotechnology Information (NCBI) via the

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Basic Local Alignment Search Tool (BLAST) to identify the species of earthworm.

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M. sieboldi was rinsed with Milli-Q water to remove adhering soils. Ten earthworms

barcode

gene

(primers: and

LCO-1490 HCO-2198

6

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with similar magnitude and wet mass were transferred to the spiked soils.

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Arsenic-free oatmeal was mixed into the soil as a food source at the initial stage of the

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experiment. The culture containers were covered with a lid, in which holes were

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punched to maintain ventilation, and containers were maintained in an artificial

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incubator (Saifu Laboratory Instruments Co., Ltd., Ningbo, Zhejiang, China) (20 oC,

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70% relative humidity) with a 12:12 h light/dark cycle. The experiment consisted of a

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control (no added As(V)) and three treatments with three replicates of each treatment,

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giving a total of 12 containers. During the culture, dead earthworms were observed

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and removed. The soil water content was maintained at 30% through providing

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Milli-Q water at regular intervals.

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DNA Extraction, High-Throughput Sequencing and Bioinformatic Analysis. The

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earthworms, exposed to As(V) for 28 days according to US Environmental Protection

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Agency (USEPA) (1988)28 and Organization for Economic Co-operation and

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Development (OECD)

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with absolute ethyl alcohol (Analytical pure, Sinopharm Chemical Reagent Co., Ltd,

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Ningbo, Zhejiang, China). Worms were gently shaken and rinsed in sterilized water

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five times to remove surface microbiota. The earthworm gut was obtained using

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sterile forceps under sterile conditions.

(No.222) protocols,29 were collected and immediately killed

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Earthworm gut and 0.5 g soil from each treatment (a total of 24 samples including

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12 gut and 12 soil, i.e., control soil and gut (SC/GC); 70 mg As(V) kg-1 soil and gut

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(S70/G70); 140 mg As(V) kg-1 soil and gut (S140/G140); 280 mg As(V) kg-1 soil and

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gut (S280/G280)) were used to extract DNA using a FastDNA Spin Kit for soil (MP 7

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Biomedicals, Santa Ana, California, USA) according to the manufacturer's

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instructions. In the end, 100 μL and 70 μL of DNA elution solution was used to

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dissolve the soil and earthworm gut DNA, respectively. The extracted DNA was

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stored at -20 oC after concentration and the quality of DNA were measured by

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Nanodrop ND-1000 (Thermo Fisher, USA) and agarose gel electrophoresis.

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The V4-V5 region of 16S rRNA was amplified and sequenced on the Illumina

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platform (Majorbio, China) as previously described.30 Briefly, a 392-bp fragment of

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16S

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GTGCCAGCMGCCGCGGTAA-3’)

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(5’-CCGTCAATCMTTTRAGTTT-3’), with R907 modified to contain a unique 8 nt

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barcodes at the 5’ terminus to distinguish different source samples in the same pool.

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The amplicons were purified and combined into one pool.

rRNA

was

PCR

amplified

using

the

and

the

forward reverse

primer

F515

primer

(5’R907

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The Illumina sequencing data were analyzed using Quantitative Insights Into

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Microbial Ecology (QIIME, version1.8.0) following the instructions at Getting Help

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with QIIME.31 The default method was used to pick the operational taxonomic units

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(OTUs) which were defined at the 97% similarity level by UCLUST clustering32 after

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the raw reads were filtered, and representative sequences of the OUTs obtained. A

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phylogenetic tree was constructed using the Fast tree algorithm33 based on the

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multiple sequence alignment generated by a PyNAST prior to downstream analysis.34

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Phylogenetic Distance (PD) Whole tree, Chao1 estimator, rarefaction curves and

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Shannon entropy were used to describe alpha diversity for each sample. Principal

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coordinate analysis (PCoA) based on Bray-Curtis distance was performed to evaluate 8

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the profiles of microbial communities in different treatments. The sequence has been

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deposited in the NCBI Sequence Read Archive under the accession number

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PRJNA516551.

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HT-qPCR of ABGs. The abundance of ABGs in the gut and soil was estimated using

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the Wafergen SmartChip Real-Time PCR System (WaferGen Biosystems, Fremont,

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CA) as described in the study35 with minor modifications. A total of 80 primer pairs

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(Table S2) was designed to target 19 ABGs and a 16S rRNA gene. The 100 nL

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HT-qPCR reaction contained LightCycler 480 SYBR Green I Master, primers,

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nuclease-free PCR-grade water, bovine serum albumin, and DNA template. The

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thermal conditions were 95 oC denaturation for 10 min, 40 cycles of 95 oC for 30 sec

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(denaturation), 58 oC for 30 sec (annealing), and a final 6-min extension step at 72

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oC.47

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(1), a threshold cycle (CT) of 31 was utilized as the detection limit. When three

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replicates for each DNA sample were all above the detection limit, ABGs were

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considered to be detected. Moreover, in order to minimize bias from background

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bacterial abundances and DNA extraction efficiencies, ABG copy number was

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normalized to the number of ABG copies per bacterial cell using the equation (2). The

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bacterial cell numbers in one sample were estimated by dividing 16S rRNA gene

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quantities by 4.1 based on the Ribosomal RNA Operon Copy Number Database.36

The gene copy number of ABGs or 16S rRNA was calculated using the equation

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Relative Gene Copy Number = 10(31−CT)/ (10/3)

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Normalized ABG Abundance = 4.1× (Relative ABG Copy Number/Relative 16S

200

rRNA Gene Copy Number)

(1)

(2) 9

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Determination of Total Arsenic Concentration and Arsenic Species. The

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freeze-dried earthworm body tissues and gut contents were ground in an agate mortar

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with liquid nitrogen to a fine powder prior to digestion and arsenic extraction. The

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soil (200 mg, weighed to a precision of 0.1 mg), earthworm body tissues (30 mg,

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weighed to a precision of 0.1 mg), or gut contents (30 mg, weighed to a precision of

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0.1 mg) for the analysis of total arsenic concentration was precisely weighed into 50

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mL polypropylene digestion tubes. A HNO3 (Merck Millipore, 65%, Darmstadt,

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Germany):HF (Thermo Fisher Scientific, 49%, USA) mixture (5+1 v/v, 6 mL) for soil

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or a HNO3:H2O2 (Merck Millipore, 30%, Darmstadt, Germany) mixture (2+1 v/v, 6

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mL) for earthworm body tissues or gut contents was added to the samples and allowed

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to stand at room temperature for 2 h before the tubes were covered with caps and

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transferred to the microwave-accelerated system (CEM Microwave Technology Ltd.,

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Buckingham, UK). The microwave-assisted digestion for earthworm body tissues or

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gut contents in closed tubes was carried out as described previously.37 The

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temperature ramping program in the microwave digested for soil samples was shown

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as the following: 105 oC for 20 min, 180 oC for 10 min, 180 oC for 30 min. Upon

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reaching room temperature, samples were diluted to 50 mL with Milli-Q water and

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filtered through 0.45 μm syringe filters (PVDF, Millipore, USA). Arsenic

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concentrations of soil, earthworm body tissues, and gut contents were determined by

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ICP-MS (Agilent 7500 ce, Agilent technologies, USA) in collision cell mode to avoid

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interference from argon chloride (40Ar35Cl) on arsenic (75As). The total arsenic

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measurement was validated against the certified reference material GBW07403, 10

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GBW07406, and GBW10050 bought from the National Institute of Metrology of

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China with a certified value for arsenic of 4.4 ± 0.6 mg kg-1, 220 ± 14 mg kg-1, and

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2.5 mg kg-1 (reference value); we obtained 4.3 ± 0.4 mg kg-1, 216 ± 15 mg kg-1, and

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2.4 ± 0.4 mg kg-1 (n = 4), respectively. The recovery rates of the CRMs ranged from

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90.0% to 108.2%.

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The following extractants for arsenic species were varied for each sample type. Soil

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(200 mg, weighed to a precision of 0.1 mg) was extracted with 5 mL of 0.05 M

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aqueous ammonium sulfate,38 and freeze-dried earthworm tissues or gut (30 mg,

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weighed to a precision of 0.1 mg) was weighed into a polyethylene vessel with 5 mL

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of MeOH (HPLC Grade, Thermo Fisher Scientific, USA): H2O mixture (1:1 v/v).7

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Arsenic species were extracted on a rotary wheel at 150 rpm overnight. The mixture

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was centrifuged (4754 g, 15 min) at 4 oC to separate the supernatant from the pellet.

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Soil extract was filtered through a 0.22 µm filter and stored at -80 oC prior to analysis.

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The extract containing methanol was evaporated to dryness under a nitrogen stream at

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room temperature and re-dissolved in Milli-Q water. HPLC (Agilent 1200, Agilent

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technologies, USA)-ICP-MS (Agilent 7700, Agilent technologies, USA) was used to

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analyze arsenic species. The species analysis was carried out on a PRP-X100 anion

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column (250 mm × 4.1 mm length, 10 μm particle size) and a pre-column (11.2 mm

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length, 12-20 μm particle size) from Hamilton (Reno, NV, USA) with the mobile

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phase comprised of 10 mM diammonium hydrogen phosphate and 10 mM ammonium

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nitrate (pH = 9.25, adjusted with aqueous ammonia).39 In addition, four normal

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arsenic species including As(III), monomethylarsonic acid (MAs(V)), dimethylarsinic 11

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acid (DMAs(V)) and As(V), four arsenosugars (glycerol arsenosugar (sugar 1),

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phosphate arsenosugar (sugar 2), sulfonate arsenosugar (sugar 3), and sulfate

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arsenosugar (sugar 4)) purified from Fucus serratus, and arsenobetaine from shrimp

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were analyzed in the column. The injection volume was 20 μL and flow rate was 1.0

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mL min-1. ICP-MS signals were recorded at m/z 75 (75As and 40Ar35Cl) at dwell times

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of 300 ms, at m/z 77 (77Se and 40Ar37Cl) for possible chloride interferences and at m/z

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74 (74Ge) for an internal standard at dwell times of 100 ms. Quantification was based

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on peak areas against external calibration with standards (0, 0.1, 0.5, 1, 5, 10, 50, and

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100 μg L-1) containing four arsenic species (As(III), As(V), MAs(V) and DMAs(V)).

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The calibration standard (10 ppb) and blank were analyzed every 10 samples to assure

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instrumental stability based on our previous study.39

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Statistical Analysis. The data analysis including basic statistics (mean-value, variable

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coefficient, standard deviation (SD), standard error (SE), the percentage of arsenic

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species and ABGs value) and alpha-diversity (PD whole tree, Chao1, rarefaction

259

curves, and Shannon index) were performed in Origin 8.5 (OriginLab, USA). The

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PCoA and Adonis test were carried out using R version 3.4.3. Analysis of variance

261

(ANOVA) and the Pearson correlation test were performed using the statistical

262

software SPSS V18.0 (IBM, USA). Microsoft Excel 2010 (Microsoft, USA) was used

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to generate other tabulations and graphics.

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RESULTS

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Body Weight, Mortality and Arsenic Bioaccumulation. The body weight of M.

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sieboldi was remarkably lower in treatments with additions of 140 and 280 mg As(V) 12

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kg-1 than in the control, corresponding to a reduction of 35.5 and 41.6%, respectively

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(ANOVA, P < 0.01) after 28 days (Table 1). Earthworm mortality was significantly

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different between all treatments (ANOVA, P < 0.001), and exhibited a clear

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dose-response relationship (Table 1). Earthworm mortality increased sharply with

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exposure to arsenic at 280 mg kg-1 (86.7%) compared to the control (16.7%)

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(ANOVA, P < 0.001). With the increase in arsenic concentration in soil, total arsenic

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concentrations of M. sieboldi body tissues or gut contents increased significantly

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(ANOVA, P < 0.05). The bioaccumulation factor (BAF) of earthworms was estimated

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to be 1.0~1.4.

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Arsenic Species and Abundance of ABGs in Soil and Gut. Figure S1 shows that

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cationic species including arsenobetaine and sugar 1, usually co-eluted at the solvent

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front with As(III), can be separated from As(III) by the anion exchange column under

279

the condition. The results indicated that inorganic arsenic (As(III) and As(V)) alone

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was detectable in soil, earthworm body tissues, and gut contents (Table S3). The

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average extraction rate was 12.6, 52.6 and 79.5% for soil, body tissues and gut

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contents, respectively (Table S3). The concentration of extracted arsenic species was

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up to 119.3 mg kg-1 in G140 consisting of 90.2 mg kg-1 As(III) and 29.1 mg kg-1As(V)

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(Table S3). As(V) (>71.7%) was the dominant species found in soils, while the major

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form of arsenic in earthworm body tissues was As(III) (>77.9%) (Figure 1).

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Moreover, As(III) was the predominant arsenic species (>75.6%) detected in the gut

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contents (Figure 1).

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The ABGs were divided into four types based on their function, namely, As(III) 13

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oxidation, As(V) reduction, arsenic (de)methylation, and arsenic transport. A total of

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16 ABGs were detected in the soil and gut samples (Figure S2), in which some genes

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involved in As(III) oxidation (aoxC, aoxD, and arxA) were absent (Figure 2A). More

292

ABG species in soil were found than those in gut contents (Figure S2), for example,

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aoxR, aoxS and arsI were found only in soil and were not detected in earthworm gut

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(Figure 2A). The normalized copy numbers of ABGs ranged from 0.017 to 0.032

295

copies per cell, with S280 and G280 harboring the lowest and highest gene copies of

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ABGs, respectively (Figure 2B). The arsI and arsM were rarely detected in gut and

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soil. The predominant ABGs in gut and soil were involved in As(V) reduction and

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arsenic transport (Figure 2B).

299

Differences in Microbial Communities between Earthworm Gut Contents and

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the Surrounding Soil. Across all samples, 2 635 484 nonsingleton reads were

301

calculated, and counts of sequences per sample ranged from 41 999 to 173 030. 49

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993 OTUs in gut samples and 67 807 OTUs in soil samples were obtained,

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respectively. The Venn diagram shows that a total of 28 381 OTUs are shared by the

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two sources, accounting for 56.8% and 41.9% of the total reads from the gut and soil

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sources, respectively (Figure S3A). Actinobacteria (accounting for 57.5% of the total

306

reads), Firmicutes (20.7%), and Proteobacteria (13.5%) were the major phyla in the

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gut, while the predominant phyla in soil were Bacteroidetes (26.1%), Proteobacteria

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(27.0%), and Actinobacteria (24.6%) (Figure S4). Actinobacteria, Bacteroidetes, and

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Firmicutes varied greatly in earthworm guts and inhabited soil (t-test, P < 0.05)

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(Figure S4). The relative abundance of Rhizobiales in the soil (7.8%) was 14

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significantly higher than that in the gut (1.8%) (t-test, P < 0.01). The relative

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abundance of the shared bacterial families shows a statistically significant difference

313

between the gut and soil sources (t test, P < 0.05) (Figure 3). Bacillaceae (17.3%),

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Mycobacteriaceae (15.5%), Streptomycetaceae (15.4%), and Microbacteriaceae

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(13.9%) were the four most abundant families in the gut, whereas their abundance

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was only 3.1%, 7.8%, 3.2%, and 3.0% in soil, respectively. Sphingobacteriaceae

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(12.7%) and Xanthomonadaceae (7.9%) were the most abundance families detected in

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soil (Figure 3). In addition, the dominant genera in soil and earthworm gut

319

microbiome were different (Figure S7). The relative abundance of Bacillus in the gut

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(12.2%) was significantly higher than that in the soil (4.4%) (t-test, P < 0.01).

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The Chao1 index shows that the diversity of the soil bacterial community is

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significantly higher than that in gut (t-test, P < 0.01) (Figure S5). The result was

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further confirmed by the PD whole tree and Shannon index measures (Figure S5).

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PCoA analysis (Figure 4) demonstrates a significant shift (Adonis test, P < 0.01)

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between gut contents and soil along with PC1 (which explained 30.8% of the total

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variance).

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Effect of Arsenic on the M. sieboldi Gut Microbial Community. The maximum

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OTUs (26 452) and minimum OTUs (12 071) were found in G280 and G70,

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respectively. Only 2 202 OTUs were shared (Figure S3B) between gut contents from

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different treatments, accounting for 4.4% of the total OTUs in gut samples. The

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unique OTUs in the GC, G70, G140 and G280 account for 11.7%, 8.6%, 11.0% and

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27.6% of the total OTUs in gut contents, respectively. At the phylum level, the 15

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abundance of Bacteroidetes increased significantly with increasing arsenic

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concentration (t-test, P < 0.05) in the earthworm gut (Figure S6). Compared to the

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control (GC), Acidobacteria and Gemmatimonadetes in G280 were both notably

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increased (t-test, P < 0.05). At the family level, the abundance of Flavobacteriaceae,

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Cytophagaceae, Chitinophagaceae, Weeksellaceae, and Sphingobacteriaceae in G280

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dramatically exceeded that in gut samples from other arsenic concentration treatments

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(t-test, P