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. 2013 Nov 4;8(11):e79144. doi: 10.1371/journal.pone.0079144

DNA Barcode Identification of Freshwater Snails in the Family Bithyniidae from Thailand

Jutharat Kulsantiwong 1, Sattrachai Prasopdee 1, Jiraporn Ruangsittichai 2, Wipaporn Ruangjirachuporn 1, Thidarut Boonmars 1, Vithoon Viyanant 3, Paola Pierossi 4, Paul D N Hebert 4, Smarn Tesana 1,*
Editor: Donald James Colgan5
PMCID: PMC3817070  PMID: 24223896

Abstract

Freshwater snails in the family Bithyniidae are the first intermediate host for Southeast Asian liver fluke (Opisthorchis viverrini), the causative agent of opisthorchiasis. Unfortunately, the subtle morphological characters that differentiate species in this group are not easily discerned by non-specialists. This is a serious matter because the identification of bithyniid species is a fundamental prerequisite for better understanding of the epidemiology of this disease. Because DNA barcoding, the analysis of sequence diversity in the 5’ region of the mitochondrial COI gene, has shown strong performance in other taxonomic groups, we decided to test its capacity to resolve 10 species/ subspecies of bithyniids from Thailand. Our analysis of 217 specimens indicated that COI sequences delivered species-level identification for 9 of 10 currently recognized species. The mean intraspecific divergence of COI was 2.3% (range 0-9.2 %), whereas sequence divergences between congeneric species averaged 8.7% (range 0-22.2 %). Although our results indicate that DNA barcoding can differentiate species of these medically-important snails, we also detected evidence for the presence of one overlooked species and one possible case of synonymy.

Introduction

Molecular taxonomic methods have been used extensively to complement morphological approaches for species identification, and for establishing phylogenetic relationships [1-10]. Particularly, species identification through DNA barcoding has seen rapid adoption over the past decade. Prior DNA barcode studies have clearly established their effectiveness in the delimitation of animal species, and also contributed several advantages [11-13]. The ability of DNA barcoding to identify all life stages has particular importance in medical parasitology, where it is not only important to identify the parasite and its final host, but also all its life stages and its intermediate hosts. Thus, a multidisciplinary method of classification that includes morphological, molecular and distributional data is an essential prerequisite for understanding the epidemiology of any parasite-induced disease [7].

Freshwater snails of the family Bithyniidae serve as intermediate hosts for the liver fluke, Opisthorchis viverrini, and related species common in the Greater Mekong subregion (Cambodia, Lao People’s Democratic Republic, Vietnam, and Thailand). The infection of this parasite has been associated with several hepatobiliary diseases, including opisthorchiasis, cholangitis, obstructive jaundice, hepatomegaly, cholecystitis, and biliary lithiasis [14-18]. Furthermore, both experimental and epidemiological evidence suggest that liver fluke infections can be an etiological factor of cholangiocarcinoma [19-25]. Three taxa of Bithynia are involved in the transmission of this parasite [26-28] with different species reported as intermediate hosts in different parts of Thailand. B. siamensis goniomphalos is a dominant host in the northeast, while B. funiculata and B. siamensis siamensis serve as hosts in the north and B. siamensis siamensis in the central region [26,29]. Taxonomic keys for differentiation to species in the family Bithyniidae utilized size, shape, color, and sculpture on the shell surface, operculum structure, and shape and arrangement patterns of radular teeth. Because these characters often demonstrate both geographic variation and phenotypic plasticity, morphological characters used to separate species are difficult to score and identifications require expert malacologists [30]. DNA barcoding has effectively identified snail species in other settings [31-34], therefore we decided to test its effectiveness on Bithyniidae.

The present study is the first to explore the application of DNA barcoding in species identification in the family Bithyniidae. We analyzed variation of the COI barcode region within 10 species/subspecies of Bithyniidae using pairwise sequence comparisons. We then examined the effectiveness of DNA barcoding in differentiating among these species.

Materials and Methods

Snail collections and preparation

Adult snails of the family Bithyniidae (superfamily Rissoacea) were collected with wire-mesh scoops or by hand in 2009 and 2010 from four regions of Thailand: north, northeast, south, and central (Figure 1, Table 1). These regions were selected based on results from previous studies [26,28,35]. Each collection site was recorded and its GPS coordinates were determined using a Garmin®nuvi 203 (Garmin (Asia) Co.,Taiwan). The specimens for this study were collected mostly from public water reservoirs where no permits were required. Owners of the private localities (a rice paddy and a waterfall) were asked for their permission. The owners gave their verbal consent for samples to be collected. All species of those snails are not endangered or protected. The snails were sorted and identified following the protocols in Brandt [26], Chitramvong [36], and Upatham et al. [37]. In addition two subspecies (B. s. siamensis and B. s. goniomphalos) were categorized by geographic distribution.

Figure 1. Schematic map of Thailand showing collection localities.

Figure 1

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Table 1. Collection sites for each species from Thailand.

Species Collection Date Country State/Province Region* Latitude Longitude
Bithynia funiculata 09-May-2009 Thailand Chiang Mai Mae Rim1 18.68280029 98.97660065
(Walker, 1927) 09-May-2009 Thailand Chiang Mai Mae Rim2 18.91769981 98.97409821
09-May-2009 Thailand Chiang Mai Saraphi3 18.68889999 98.9536972
09-May-2009 Thailand Chiang Mai Mae Rim4 18.91139984 98.96800232
Bithynia siamensis 13-Oct-2010 Thailand Nong Khai Sangkhom5 18.09830093 102.2419968
goniomphalos 13-Oct-2010 Thailand Nong Khai Tha Bo6 17.78840065 102.6009979
(Morelet, 1866) 04-Jun-2010 Thailand Roi Et Muang Roi Et7 15.90060043 103.7320023
03-May-2008 Thailand Maha Sarakham Barabue8 16.03829956 103.1190033
11-May-2008 Thailand Khon Kaen Chum Phae9 16.54809952 102.0940018
04-Apr-2008 Thailand Khon Kaen Ubolratana10 16.75279999 102.6330032
10-May-2008 Thailand Nong Bua Lamphu Non Sang11 16.86380005 102.5680008
04-Apr-2008 Thailand Khon Kaen Ban Phai12 16.16609955 102.6829987
04-Apr-2008 Thailand Khon Kaen Waeng Noi13 15.80589962 102.4110031
09-Dec-2008 Thailand Khon Kaen Ubolratana14 16.75300026 102.6330032
04-Apr-2008 Thailand Khon Kaen Ban Phai15 16.16609955 102.6829987
10-May-2010 Thailand Buriram Nong Ki16 14.66600037 102.5439987
12-May-2008 Thailand Khon Kaen Muang Khon Kaen17 16.44829941 102.8499985
Bithynia siamensis siamensis 26-Feb-2011 Thailand Songkhla Hat Yai18 7.013070107 100.4520035
(Morelet, 1866) 10-Oct-2009 Thailand Khon Kaen Muang Khon Kaen19 16.44799995 102.8499985
10-May-2009 Thailand Bangkok Kasertsat University20 13.85270023 100.5699997
10-May-2009 Thailand Bangkok Kasertsat University21 13.8494997 100.5680008
08-May-2009 Thailand Phitsanulok Bang Rakam22 16.67480087 100.1600037
08-May-2009 Thailand Phichit Bueng Na Rang23 16.17670059 100.1279984
09-May-2009 Thailand Chiang Mai Muang Chiang Mai24 18.80529976 98.95020294
09-May-2009 Thailand Chiang Mai Muang Chiang Mai25 18.79179955 98.94629669
10-May-2009 Thailand Suphan Buri Si Pranchan26 14.6697998 100.1159973
10-Jun-2010 Thailand Lop Buri Chai Badan27 15.20429993 101.137001
26-Feb-2011 Thailand Songkhla Hat Yai28 7.013070107 100.4520035
10-May-2009 Thailand Sing Buri Muang Sing Buri29 14.8604002 100.3939972
Species Collection Date Country State/Province Region* Latitude Longitude
Bithynia siamensis siamensis 10-Jun-2010 Thailand Lop Buri Patthana Nikhom30 14.85579967 100.9899979
(Morelet, 1866)
Filopaludina 10-Aug-2010 Thailand Khon Kaen Khon Kaen 16.46800041 102.8310013
martensi martensi University31
Gabbia erawanensis 11-May-2009 Thailand Kanchanaburi Erawan32 14.36789989 99.14369965
(Prayoonhong, Chitramvong& 17-May-2009 Thailand Kanchanaburi Erawan33 14.36800003 99.14399719
Upatham 1990) 11-May-2009 Thailand Kanchanaburi Erawan34 14.3689003 99.145401
Gabbia pygmaea 09-May-2009 Thailand Chiang Mai Mae Rim35 18.91139984 98.96800232
(Preston, 1908)
Gabbia wykoffi 09-May-2009 Thailand Chiang Mai Saraphi36 18.68560028 99.04979706
(Brandt 1968) 04-Apr-2010 Thailand Loei Chiang Khan37 17.90600014 101.6880035
04-Apr-2010 Thailand Loei Chiang Khan38 17.89599991 101.6699982
04-Apr-2010 Thailand Loei Chiang Khan39 17.89489937 101.6709976
12-Oct-2009 Thailand Saraburi Muang Saraburi40 14.53129959 100.9260025
10-May-2009 Thailand Suphan Buri Muang Sing Buri41 14.85379982 100.3779984
09-May-2009 Thailand Chiang Mai Saraphi42 18.68560028 99.04979706
09-May-2009 Thailand Chiang Mai Hang Dong43 18.68889999 98.9536972
09-May-2009 Thailand Chiang Mai Hang Dong44 18.68280029 98.97660065
09-May-2009 Thailand Bangkok Kasertsat University45 13.8494997 100.5680008
20-Oct-2009 Thailand Khon Kaen Ubolratana46 16.75279999 102.6330032
20-Oct-2009 Thailand Khon Kaen Muang Khon Kaen47 16.45019913 103.0270004
10-Aug-2009 Thailand Chaiyaphum Chatturat48 15.56820011 101.8430023
10-May-2009 Thailand Bangkok Kasertsat University49 13.8494997 100.5680008
11-May-2009 Thailand Kanchanaburi Erawan50 14.36789989 99.14369965
20-Oct-2009 Thailand Khon Kaen Muang Khon Kaen51 16.45019913 103.0270004
10-May-2010 Thailand Loei Chiang Khan52 17.90600014 101.6880035
10-May-2010 Thailand Loei Chiang Khan53 17.8946991 101.6699982
11-May-2008 Thailand Khon Kaen Ubolratana54 16.75279999 102.6330032
Species Collection Date Country State/Province Region* Latitude Longitude
Hydrobioides nassa 18-Jan-2009 Thailand Sing Buri Muang Sing Buri55 14.86400032 100.3960037
(Theobald, 1865) 09-May-2009 Thailand Lamphun Muang Lamphun56 18.62989998 99.04989624
08-May-2009 Thailand Phichit Bueng Na Rang57 16.17670059 100.1279984
09-May-2009 Thailand Chiang Mai San Kamphaeng58 18.91139984 98.96800232
10-May-2009 Thailand Sing Buri Khai Bang Rachan59 14.80000019 100.3089981
10-May-2009 Thailand Sing Buri Muang Sing Buri60 14.91609955 100.3850021
09-May-2009 Thailand Chiang Mai San Kamphaeng61 18.76029968 99.07859802
Wattebledia baschi 10-Oct-2010 Thailand Surat Thani Phunphin62 9.11400032 99.23000336
(Brandt 1968) 10-Oct-2009 Thailand Surat Thani Phunphin63 9.113780022 99.229599
Wattebledia crosseana 04-Apr-2010 Thailand Loei Chiang Khan64 17.89599991 101.6699982
(Wattebled 1886) 04-Apr-2010 Thailand Loei Chiang Khan65 17.89100075 101.6439972
04-Apr-2010 Thailand Loei Pak Chom66 18.02479935 101.9000015
10-May-2010 Thailand Loei Chiang Khan67 18.08709908 101.9520035
25-Dec-2008 Thailand Loei Chiang Khan68 18.08699989 101.9520035
11-May-2008 Thailand Khon Kaen Ubolratana69 16.75279999 102.6330032
11-May-2008 Thailand Nong Bua Lamphu Muang Nong Bua Lum 17.24449921 102.5169983
Phu70
12-Feb-2009 Laos Vientiane Pakse71 15.12049961 105.8130035
04-Apr-2010 Thailand Loei Chiang Khan72 17.89599991 101.6699982
25-Dec-2008 Thailand Khon Kaen Ubolratana73 16.75279999 102.6330032
10-May-2010 Thailand Nong Khai Tha Bo74 17.78800011 102.6009979
Wattebledia siamensis 20-Jan-2008 Thailand Khon Kaen Muang Khon 16.4484005 102.8499985
(Moellendorff, 1902) Kaen75
20-Jan-2008 Thailand Khon Kaen Ubolratana76 16.75279999 102.6330032
20-Jan-2008 Thailand Khon Kaen Muang Khon 16.45319939 102.4530029
Kaen77
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*

represent the collection sites in the map

Each snail was subsequently examined for trematode infections by testing for cercarial shedding twice within a week. Prior to cercarial shedding, the snails were cleaned with dechlorinated tap-water. Shedding was induced under 25 W electric light bulbs for 2 hours at room temperature during the day. For species that shed cercaria at night, black covers were used to achieve total darkness and snails were allowed to shed overnight. Uninfected snails were soaked in phosphate buffered saline (PBS) containing antibiotics (200 unit/ml of penicillin and 100 µg/ml of streptomycin) for 3 to 4 hours before extraction of DNA to ensure that bacterial contamination was minimized.

Each snail was dissected to remove its soft body parts, and kept at -20 °C until further analysis. Each specimen was labeled, databased and imaged. All specimen records are in the project ‘JUT- Mitochondrial DNA barcodes identification for snail in family Bithyniidae in Thailand’ on BOLD, the Barcode of Life Data Systems [38].

DNA extraction

Total genomic DNA was extracted from whole snail tissue using methods similar to those in Winnepenninckx et al. [39]. Snail tissue was first homogenized in lysis buffer (2% w/v Cetyltri-ammonium bromide; CTAB, 1.4 M NaCl, 0.2% v/v β-mercaptoethanol, 20 mM EDTA, 100 mM TrisHCl pH 8, 0.2 mg/ml proteinase K), and then incubated at 55 °C for 6 hours. Subsequently, proteins were precipitated using phenol/chloroform (1:1) once, followed by phenol/ chloroform/ isoamylalcohol (25:24:1), centrifuged at 13,000 g for 10 min (4 °C) twice, and finally washed with chloroform (1:1). The upper aqueous layer was removed, and DNA was precipitated in isopropanol (2:3 v/v), mixed gently by inverting the tube a few times, put on ice for 15 min, and then spun in a microcentrifuge at 13,000 g for 5 min. After centrifugation, the supernatant was discarded; the DNA pellets were washed in 75% absolute ethanol, and centrifuged at 13,000 g for 5 min. After air-drying, the DNA pellet was re-suspended in TE buffer (10 mM Tris, 1mM EDTA, pH 8.0) and stored at -20 °C until analysis. The DNA concentration and purity were estimated by spectrophotometer (NanoVue, GE Healthcare UK limited, Buckinghamshire, UK) at an absorbance of 260 and 280 nm wavelengths. The extracted genomic DNA was then diluted to a working concentration of 10 ng/µl.

Amplification and sequencing

PCR protocols followed those used by the Canadian Centre for DNA Barcoding [40], with slight modifications. The PCR reaction was performed on a GeneAmp® PCR System 9700 Thermo Cycler (Applied Biosystem, Foster City, CA). The partial mitochondrial COI gene was amplified using the primers shown in Table 2 [41,42] in a total reaction volume of 50 µl. The amplification reaction consisted of 10xPCR buffer for 5 µl, 10 mM dNTP for 0.25 µl, 50 mM MgCl2 for 2.5 µl, forward primer for 0.5 µl, reverse primer for 0.5 µl, Platinum Taq polymerase for 0.24 µl, H2O for 36.01 µl and template for 5 µl. Standard conditions for COI gene amplification included initial denaturation at 94 °C for 1 min, five cycles of 94 °C for 30 sec, annealing at 45-50 °C for 40 sec, and extension at 72 °C for 1 min, following by 30 to 35 cycles of 94 °C for 30 sec, 51 to 54 °C for 40 sec, and 72 °C for 1 min, with a final extension at 72 °C for 10 min, followed by an indefinite hold at 4 °C [43-45]. PCR products were visualized on a 1.5% agarose gel and the specific band was cut and its DNA purified and then sequenced in the Biochemistry Department, Faculty of Medicine, Khon Kaen University; Pacific Science Co. LTD (Bangkok, Thailand) and at the Biodiversity Institute of Ontario, Canada.

Table 2. Primers used for PCR amplification and sequencing [41,42].

Primer name Sequence Forward or Reverse
LCO1490 5′ GGTCAACAAATCATAAAGATATTGG 3′ Forward
HCO2198 5′ TAAACTTCAGGGTGACCAAAAAATCA 3′ Reverse
GasF1_t1 5′ TGTAAAACGACGGCCAGTTTTCAACAAACCATAARGATATTGG 3′ Forward
GasF2_t1 5′ TGTAAAACGACGGCCAGTATTCTACAAACCACAAAGACATCGG 3′ Forward
GasF3_t1 5′ TGTAAAACGACGGCCAGTTTTCWACWAATCATAAAGATATTGG 3′ Forward
GasR1_t1 5′ CAGGAAACAGCTATGACACTTCWGGRTGHCCRAARAATCARAA 3′ Reverse
MGasF1_t1 5′ TGTAAAACGACGGCCAGTATAAGATTTCCTCGWWTRAATAATA 3′ Forward
MGasR1_t1 5′ CAGGAAACAGCTATGACTCCTGTWCCWRCWCCWCCTTC 3′ Reverse
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Remark Degenerate base; R = A or G, W = A or T, H = C or A or T

Data analysis

Forward and reverse DNA sequences were assembled, and edited using Chromas version 2.23 [46], BioEdit v. 5.0.6 [47] and CodonCode v.3.01 (CodonCode Corporation, Dedham, MA). Alignment and homology analysis were performed using CLUSTAL X v. 1.8 [48] and MEGA 4 [49] with pairwise nucleotide sequence divergences calculated using the Kimura 2-parameter (K2P) model [50]. Base composition and distance summaries were obtained using the tools provided on the BOLD workbench (www.boldsystems.org) [38], but only sequences ≥ 350 bp were included in the analysis. A neighbour-joining (NJ) tree was also created using BOLD to provide a preliminary display of the sequence divergences.

Results and Discussion

Ten species/subspecies of Bithyniidae were collected from sites across Thailand (Figure 1 and Figure 2). A total of 217 individuals of these species/subspecies were analyzed for COI, and Neotricula aperta gamma strain (family Hydrobiidae, superfamily Rissoacea) from GenBank (Accession: AF AF188222.1 GI: 11493624 and AF188220.1 GI: 11493620) was used as outgroup. All 217 specimens were identified using morphological characteristics of the adult shells, radular patterns, geographic distribution [35-37], and confirmed by a malacologist. From 1-6 individuals of each species/subspecies from each of the five regions were analyzed, as shown in the neighbour-joining tree (Figure S1). The sequences, and trace files, are available on BOLD (project: JUT).

Figure 2. The shell morphology of bithyniid snails (A) B. funiculata; (B) B. siamensis goniomphalos; (C) B. siamensis siamensis; (D) H. nassa ; (E) W. crosseana; (F) W. siamensis; (G) W. baschi; (H) G. wykoffi; (I) G. pygmaea; (J) G. erawanensis.

Figure 2

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Scale bars: A-J = 1 mm.

The pairwise sequence divergences were different among species/subspecies (Table S1). Intraspecific K2P distances averaged 2.3±0.001% (range 0-9.2 %), 4-fold less than the mean congeneric sequence divergence of 8.7±0.002% (range 0-22.2 %). The highest mean intraspecific sequence divergence for an individual species was 4.93±0.22% (range 0-9.2%) for Wattebledia crosseana reflecting the fact that members of this species fell into two distinct sequence clusters (Table 3). The mean sequence divergence across the family was also high, averaging 17.1% (range 13.0-21.3%).The distributions of intraspecific and interspecific divergences showed limited overlap (Figure 3), because most (65.4%) intraspecific sequences showed less than 2% divergence while 83.4% of the interspecific sequences possessed more than 3% divergence. As a result, sequence divergences for these snails are similar to those in previous barcoding reports on other organisms [2,12]. Hebert et al. [12] reported that COI sequence divergences among animal species from interspecific COI divergences within the phylum Mollusca averaged 11.1±5.1%.

Table 3. Species with nearest neighbour and intraspecific and interspecific divergence.

Species Nearest Neighbor (NN) Intraspecific Intraspecific
(Number of specimens)
Nearest Neighbor Distance to Count Mean SE Max Min Count Mean SE Max Min
NN% Comparisons Comparisons
Bithynia funiculata (13) B. siamensis siamensis 7.11 78 1.08 0.10 2.17 0
B. siamensis goniomphalos (30) B. siamensis siamensis 1.49 435 2.39 0.04 3.95 0
B. siamensis siamensis (40) B. siamensis goniomphalos 1.49 780 0.62 0.50 1.81 0 2110 2.27 0.13 10.77 0
Wattebledia crosseana (26) W. baschi 6.00 330 4.93 0.22 9.11 0
W. siamensis (8) W. baschi 11.39 28 0.32 0.44 0.82 0
W. baschi (7) W. crosseana 6.00 28 0.05 0.35 0.35 0 446 6.02 0.32 14.19 6.33
Gabbia wykoffi (59) G. pygmaea 0 1761 3.14 0.05 6.69 0
G. pygmaea (3) G. wykoffi 0 3 0.00 0.00 0.00 0
G. erawanensis (8) B. siamensis goniomphalos 15.73 28 0.30 0.07 0.82 0 673 6.62 0.29 22.16 0
Hydrobioides nassa (23) W. crosseana 14.13 253 0.47 0.03 2.20 0 0 0 0 0 0
Total (217) 63.34 3724 13.30 1.81 27.91 0 3229 14.91 0.74 47.12 0
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Figure 3. Pairwise distances (K2P) for COI sequences from snail species in the family Bithyniidae separated into two categories: (a) intraspecific; (b) interspecific.

Figure 3

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The high intraspecific divergences in W. crosseana and G. wykoffi could indicate the presence of previously unrecognized cryptic species. DNA barcoding has proven invaluable at detecting cryptic species, which in many cases, are subsequently corroborated by life history, morphological or other character sets [51-54]. For these two snail species, the clusters represent allopatric populations with no apparent morphological differences, so it is currently unclear if they represent merely isolated populations or separate entities with differences yet to be revealed. Conversely, the sharing of identical barcode sequence in G. pygmaea and one northern Thailand population of G. wykoffi may be indicative of introgressive hybridization, incomplete lineage sorting, misidentification, or a previously unrecognized synonymy. Further investigations into these groups are necessary to untangle and confirm these predictions and the use of more holistic approaches to delimit species boundaries will be beneficial.

An important finding in the present study is that the three first intermediate hosts (B. s. siamensis, B. s. goniomphalos and B. funiculata) of Southeast Asian liver fluke can all be distinguished by COI barcodes. All three taxa of Bithynia sp. form monophyletic clusters, with 1.5% divergence between the two subspecies of B. siamensis and both subspecies had 7.1% divergence from B. funiculata (Table 3). Because the two subspecies of B. siamensis are morphologically indistinguishable, the capacity of DNA barcoding to discriminate them is significant. Moreover, morphological similarity has created taxonomic confusion and difficulties in the accurate identification of B. s. siamensis and B. s. goniomphalos which are currently believed to be distributed in the north, central, south and northeast of Thailand [26,29,36-38]. As well, the capacity to rapidly diagnose all stages of the host’s life cycle is essential for better understanding of the epidemiology of this parasite-induced disease.

The barcoding success for the Bithyniid species examined in this project was 80%, with nearly all taxa forming discrete monophyletic clusters (Figure 4). The two exceptions are G. pygmaea and one population of G. wykoffi, which share an identical COI sequence (see above). These two taxa might possibly be cryptic species. However, the adult size of G. wykoffi is double that of G. pygmaea. Distinct paraphyly was found in W. crosseana. The results indicated that W. crosseana samples from different localities may well represent cryptic species because they are morphologically similar but genetically distinct. Cryptic species of W. crosseana might be resulted from some factors such as different localities which would develop to different genotype. G. wykoffi was separated into more than one geographically-restricted cluster respectively comprising collection localities from the central, north or northeast regions of Thailand. These clusters might be cryptic species according to this analysis as same as W. crosseana. However, more comprehensive analyses of the systematics of these taxa using more specimens, representing their known geographic distribution, as well as more evidence from independent biological investigations, are required before this hypothesis can be verified.

Figure 4. Neighbour- joining tree (K2P) for 10 species/subspecies of snails in the family Bithyniidae.

Figure 4

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The number of individuals for each branch is given in parentheses. A detailed version of this tree, including locality information, is provided in Figure S1.

Similar studies which have also been reported in other organisms [52-59], yet over all DNA barcoding has proven reliable in identifying species in more than 90% of the organisms investigated [60]. The neighbour-joining tree and ME analysis also revealed that in general, individuals tended to cluster in accordance with collection localities (Supporting Information, Figure S1, S2). The results from ME analysis were very similar to the neighbor-joining analysis so the latter was used to generate diagrams.

The genera Wattebledia and Bithynia formed monophyletic clusters as well, but Gabbia did not. The selection of Neotricula aperta gamma strain (in the same superfamily) from GenBank as the outgroup appeared legitimate as it clustered separately from other snails in family Bithyniidae. Increased taxon, geographic, and gene sampling would be worthwhile to further explore the two ‘barcode outliers’ and the ability of COI to infer geographic provenance and phylogenetic affinities in this group.

In summary, the present study has studied genetic-variation in ten species/subspecies of Bithyniidae from Thailand using COI. Sequence divergences were lower for intraspecific than congeneric comparison. Using COI, 80% of the studied snail taxa could accurately identified. In comparison with other methods for identifying snails in this family, DNA barcoding is quicker, easier and more applicable, it is suitable for young snail identification which will be beneficial for understanding the epidemiology of opisthorchiasis transmission.

Supporting Information

Table S1

Genetic distances for all specimens in family Bithyniidae.

(XLS)

Click here for additional data file. (194.5KB, xls)
Figure S1

Neighbour-joining tree (Distance model: Kimura-2-Parameter) of profile and test taxa; includes a list of BOLD with Process ID, taxa names, length of sequence and locality.

(JPG)

Click here for additional data file. (3.7MB, jpg)
Figure S2

Minimum Evolution tree (ME) of 218 COI sequences of 10 species/subspecies of snails in the family Bithyniidae. The number of individuals for each branch is given in parentheses.

(TIF)

Click here for additional data file. (991.3KB, tif)

Acknowledgments

We thank the staffs of the Biodiversity Institute of Ontario, University of Guelph, Ontario, Canada, especially Mr. Sean Prosser for providing technical advice. Dr. Jeff Webb aided with data analysis, while Dr. Jeremy R. deWaard provided valuable comments on the manuscript. We also thank Assistant Professor Dr. Pairat Tarbsripair, the Malacologist who confirmed our identification species of the specimens. Fieldwork that provided the basis for this work would not have been completed without the gracious support from Dr. Pairat Tarbsripair, Dr. Supawadee Piratae, Dr. Panita Khampoosa, Chalermlap Donthaisong, Patpicha Arunsan, Dr. Apiporn Suwannatrai, and Kulwadee Suwannatrai.

Funding Statement

The study was supported by the Higher Education Research Promotion and National Research University Project (NRU) of Thailand, and the Office of the Higher Education Commission, Ministry of Education of Thailand and through the Health Cluster (SHeP-GMS), Khon Kaen University, Thailand. Jutharat Kulsantiwong thanks the Office of the Higher Education Commission for supporting her PhD program (CHE) in the Department of Parasitology, Faculty of Medicine, Khon Kaen University, Thammasat University, and UdonThani Rajabhat University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Table S1

Genetic distances for all specimens in family Bithyniidae.

(XLS)

Click here for additional data file. (194.5KB, xls)
Figure S1

Neighbour-joining tree (Distance model: Kimura-2-Parameter) of profile and test taxa; includes a list of BOLD with Process ID, taxa names, length of sequence and locality.

(JPG)

Click here for additional data file. (3.7MB, jpg)
Figure S2

Minimum Evolution tree (ME) of 218 COI sequences of 10 species/subspecies of snails in the family Bithyniidae. The number of individuals for each branch is given in parentheses.

(TIF)

Click here for additional data file. (991.3KB, tif)

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