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Population genetic structure of Indoplanorbis exustus (Gastropoda: Planorbidae) in Thailand and its infection with trematode cercariae

  • Abdulhakam Dumidae,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing

    Affiliation Department of Microbiology and Parasitology, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand

  • Chanakan Subkrasae,

    Roles Methodology, Visualization, Writing – review & editing

    Affiliation Department of Microbiology and Parasitology, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand

  • Jiranun Ardpairin,

    Roles Methodology, Visualization, Writing – review & editing

    Affiliation Department of Microbiology and Parasitology, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand

  • Supawan Pansri,

    Roles Methodology, Visualization, Writing – review & editing

    Affiliation Department of Microbiology and Parasitology, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand

  • Raxsina Polseela,

    Roles Methodology, Visualization, Writing – review & editing

    Affiliation Department of Microbiology and Parasitology, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand

  • Aunchalee Thanwisai,

    Roles Formal analysis, Resources, Software, Visualization, Writing – original draft, Writing – review & editing

    Affiliations Department of Microbiology and Parasitology, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand, Centre of Excellence in Medical Biotechnology (CEMB), Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand, Center of Excellence for Biodiversity, Faculty of Sciences, Naresuan University, Phitsanulok, Thailand

  • Apichat Vitta

    Roles Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    apichatv@nu.ac.th

    Affiliations Department of Microbiology and Parasitology, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand, Centre of Excellence in Medical Biotechnology (CEMB), Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand, Center of Excellence for Biodiversity, Faculty of Sciences, Naresuan University, Phitsanulok, Thailand

Abstract

Indoplanorbis exustus is a freshwater gastropod belonging to the family Planorbidae. This snail is widely distributed across the tropics and plays an important role as the intermediate host for trematodes. However, relatively little is understood regarding the genetic relationship between I. exustus and trematodes. The goals of this study were to investigate the current transmission status of trematode cercariae in I. exustus in Thailand and to examine the genetic diversity, genetic structure, and demographic history of I. exustus. We collected 575 I. exustus from 21 provinces across six regions of Thailand and investigated cercarial infections by using the shedding method. I. exustus from two provinces were infected with cercarial trematodes, and two types of cercarial stages were molecularly identified as furcocercous cercaria and xiphidiocercariae. Phylogenetic tree analysis based on 28S rDNA and ITS2 sequences demonstrated that furcocercous cercaria and xiphidiocercariae were closely clustered with a clade of Euclinostomum sp. and Xiphidiocercariae sp., respectively. Phylogenetic and network analyses of I. exustus haplotypes based on the COI, 16S rDNA, and ITS1 genes demonstrated four main clades. Only snails in clade A were distributed in all regions of Thailand and harbored trematode cercariae. The level of genetic diversity of I. exustus was relatively high, but most populations were not genetically different, thus suggesting the appearance of gene flow within the I. exustus populations. Overall, the haplotype network was star-shaped, thus suggesting the recent demographic expansion of populations. This result was also supported by the unimodal mode of the mismatch distribution graph and the large negative values of the neutrality tests. Therefore, the I. exustus snail was likely another freshwater snail of the invasive species in Thailand. This information will aid in monitoring the spread of the parasitic trematodes carried by I. exustus from different populations.

Introduction

Indoplanorbis exustus (Deshayes, 1834) (Gastropoda: Planorbidae) is a freshwater snail found in various tropical regions. Currently, I. exustus is widely distributed in Asia, Africa, and the Caribbean region [14]. This organism has been reported as an intermediate host for various trematode parasites (Trematoda: Digenea) in veterinary and medical fields [5, 6]. I. exustus is known as the intermediate host for Schistosoma indicum, S. nasale, and S. spindale, as well as other trematodes such as Clinostomum giganticum and Echinostoma spp. [5, 6]. Moreover, I. exustus has been reported in association with outbreaks of cercarial dermatitis in humans in Thailand, Malaysia, Laos, and India [69]. Cercarial dermatitis, also known as swimmers itch is caused by an acute allergic reaction in the skin that is a result of repeated penetration of the skin by larvae (cercariae) of animal blood flukes. Humans become infected with trematode cercariae by contact water in ponds, rice paddy fields, and lakes contaminated with cercariae, which are shed by infected snails into freshwater [10].

In addition, I. exustus is an important intermediate host for parasitic trematodes in veterinary and medical settings. This snail is commonly found attached to aquatic plants in small ponds, pools, lakes, and rice paddy fields, including in semi-permanent pool flooding fields. I. exustus acts as an important plant pest because it reduces the vigor of some crops by killing seeds or seedlings, destroying stems or growing points, or causing leaf damage, which subsequently causes economic loss [11, 12].

Within the snail population, derived data on genetic variation can provide valuable information about colonization and spread into new areas [13]. The most commonly used genes for genetic analysis in I. exustus snails are the mitochondrial, cytochrome c oxidase subunit I (COI), and 16S rDNA genes [1, 3, 4]. Additionally, the internal transcribed spacer I (ITS1) region, nuclear 18S rRNA, and 28S rRNA genes have been used as genetic markers for studying phylogeny [14]. The phylogenetic analysis of I. exustus using mitochondrial DNA sequences has demonstrated four to five genetically distinct clades. These clades were always congruent, thus suggesting that I. exustus was a species complex [35]. Moreover, it was initially divided into the clades found in northern India and Cratonic India, as well as being ubiquitous in Thailand, Nepal, the Philippines, Sundaic in Indonesia, and Malay-Occidental and Arabian clades [1]. Subsequently, these were classified into five clades (specifically, clades A to E), of which clade E was widely distributed, encompassing South Asia, Southeast Asia, and Southwest Asia [15]. Recently, Saijuntha et al. (2021) [4] reported the genetic variation of I. exustus from new geographical areas in South and Southeast Asia, which phylogenetic tree revealed five major clades (A to E). Clade A, clade B, and clade C were found only in South Asia, whereas clade D was specifically found in Southeast Asia. The high self‐fertilization capacity of I. exustus likely facilitates geographical expansion [16] and may have important parasitological implications, as it is the natural intermediate host of digenean trematodes. Certainly, when the vector of parasitosis is present in a geographical area, no factor excludes the emergence of the disease if the parasite is introduced.

Given that I. exustus may represent a species complex, it is also necessary to consider host-parasite relationships. Devkota et al. (2015) [5] first proposed the existence of a snail-host complex and classified I. exustus into four different lineages. Lineage I included I. exustus infected with echinostome and Schistosoma sp. Lineage II comprised snails infected with xiphidiocercariae, strigeids, and sanguinicolid cercariae. Lineage III consisted of snails positive for S. nasale, and lineage IV comprised snails infected with strigeids, sanguinicolids, xiphidiocercariae, S. indicum, S. spindale, S. nasale, and Schistosoma sp. This study could not identify any specific host lineage-parasite species relationships based on parasitological screening. This suggests that schistosomes may be able to switch hosts within the Indoplanorbis species complex. This confirms the importance of an enlarged parasitological survey, despite the absence of host specificity for Indoplanorbis.

In invasive host populations, the number of available genetic variants allows them to ‘fight’ the infection. The level-standing genetic variation of invasive populations may be crucial in successfully adapting to new environments and in resisting diseases [17]. However, relatively little is understood regarding the genetic relationship of hosts/parasites between I. exustus and digenean trematodes in Thailand. Thus, this study aimed to investigate the current status of trematode cercariae in I. exustus in Thailand and to analyze the genetic diversity of I. exustus by using the mitochondrial cytochrome c oxidase subunit I (COI), 16S rDNA, and nuclear internal transcribed spacer I region (ITS1).

Materials and methods

Ethical approval

The experiments involved with the use of invertebrate animals (snails) in this study were approved by the Center for Animal Research of Naresuan University (Project Ethics Approval No: NU-AQ640803). The experimental protocols of biosafety and biosecurity were approved by the Naresuan University Institutional Biosafety Committee (Project Approval No: NUIBC MI 64-09-34).

Collection and morphological identification of snails

Indoplanorbis exustus snails were randomly collected from 21 provinces in six geographical regions of Thailand (Table 1). The snails were collected from their natural habitats, such as paddy fields, irrigation canals, ponds, wetland ponds, and lotus ponds, by using handpicking and scooping methods. The snails were kept in a plastic box with water and air ventilation and were transported to the Department of Microbiology and Parasitology, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand. All of the snails were cleaned with several changes of tap water and were preliminarily identified through the comparison of shell morphology, as described by Brandt [18] and Frandsen [19]. Morphological characteristics of I. exustus were taxonomically identified based on a discoid shell with brownish or olive colors, dorso-ventrally flat shapes with rapidly increasing whorls, and dimensions nearly as high as wide [18, 19].

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Table 1. Collection data of I. exustus in this study.

https://doi.org/10.1371/journal.pone.0297761.t001

Screening of infected snails and morphological identification of cercariae

Each individual snail was investigated for cercarial infections by using the shedding method [20]. Snails were individually placed into 50 ml capacity containers (4 cm in diameter and 6.5 cm in height) containing 20 ml of dechlorinated tap water. The container was maintained for 24 h at room temperature [21]. Afterwards, snails were screened for shedding cercariae by using a stereomicroscope. Living cercariae were classified according to morphological characteristics by using cercarial keys according to Chontananarth and Wongsawad (2013) [22], Anucherngchai et al. (2016, 2017) [23, 24], and Dunghungzin and Chontananarth (2020) [25]. After preliminary identification, cercariae from individual snails were collected by using a micropipette under a stereomicroscope, transferred to a 1.5 ml microcentrifuge, and kept at -20°C for DNA extraction. In addition, the body of the snail was removed from its shell, and a small piece of foot tissue (approximately 25 mg) was cut from each individual and stored at -20°C until DNA extraction.

DNA extraction

Genomic DNA from individual snails and from cercariae was extracted by using the NucleoSpin® Tissue Kit (Macherey-Nagel, Duren, Germany) according to the manufacturer’s instructions. The quality of the genomic DNA was verified on a 0.8% agarose gel in 1× TBE buffer at 100 V for 35 min. Furthermore, the genomic DNA solution was stored at -20°C for later use in the PCR analysis.

Polymerase chain reaction (PCR) and sequencing

Partial fragments of the mitochondrial COI and 16S rDNA genes and ITS1 of I. exustus were amplified via PCR by using specific primer pairs. For cercariae, PCR was used to amplify the selected nucleotide regions (28S rDNA for furcocercous cercariae and ITS2 for xiphidiocercariae). The specific primers that were used in the present study are listed in Table 2. All of the polymerase chain reactions (PCRs) were performed by using a Biometra TOne Thermal Cycler (Analytik Jena AG, Jena, Germany). The PCR components (30 μl final reaction volume) contained 15 μl of Quick Taq™ HS DyeMix (Toyobo, Shanghai Biotech, China), 1.5 μl of each primer at 5 μM (0.25 μM), 9 μl of distilled water, and 3 μl of the DNA template (20–200 ng). The details of the PCR parameters that were used in each targeted nucleotide region are shown in Table 2. The amplified products were analyzed by using 1.2% agarose gel electrophoresis at 100 V. The PCR products were then purified by using a NucleoSpin® Gel and PCR Clean-Up Kit (Macherey-Nagel, Germany) according to the manufacturer’s instructions. The purified PCR products were shipped to Macrogen Inc., Seoul, Korea, for sequencing in both forward and reverse directions.

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Table 2. PCR primers and parameters used in this study.

https://doi.org/10.1371/journal.pone.0297761.t002

Sequence analysis

The nucleotide sequences were checked for errors and manually edited in the software program SeqMan II (DNASTAR, Madison, WI, USA). All of the nucleotide sequences were aligned by using Clustal W in the MEGA Version 7.0 program [31]. Species identification of I. exustus and cercariae was supported by a BLASTN search to identify similarities to sequences deposited in the NCBI database (http://blast.ncbi.nlm.nih.gov/Blast.cgi).

Phylogenetic analysis

Phylogenetic trees were constructed via the maximum likelihood (ML), neighbor-joining (NJ), and Bayesian inference (BI) methods. The ML tree was performed based on the Tamura-Nei model [32], and the NJ tree was analyzed with the Kimura two-parameter model [33] with 1,000 bootstrap replicates by using MEGA Version 7.0 [31]. The BI analysis was performed by using the MrBayes 3.2.0 program [34]. The Bayesian posterior probabilities (BPPs) were estimated by using Markov chain Monte Carlo (MCMC) analysis with 2,000,000 generations. Moreover, trees were sampled every 1,000th generation, thus resulting in 2,000 trees. Although three methods were used for building phylogeny, only the ML tree is shown in the present study. The bootstrap values from the two methods (ML and NJ) and the percentage of Bayesian posterior probabilities are indicated on the branch of the ML tree.

Network analysis

The number of haplotypes and polymorphic sites were calculated by using DnaSP version 5 [35] and ARLEQUIN version 3.5.1.2 [36]. The haplotype relationships of each COI, 16S rDNA, and ITS1 gene and the combined mtDNA of I. exustus were estimated by using the median-joining algorithm [37] in Network 5.0.1.1 (http://www.fluxus-engineering.com).

Population analysis

Sequences were analyzed by grouping into two datasets based on which previously published GenBank sequences were added to our dataset, in order to analyze the genetic population. Group 1 included all of the sequences of our I. exustus population from Thailand (n = 486) complemented with 120 published I. exustus sequences from other countries, and Group 2 consisted of all of the sequences of our I. exustus population from different provinces of Thailand (Table 3).

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Table 3. Number of nucleotide sequences of I. exustus used for genetic analyses.

https://doi.org/10.1371/journal.pone.0297761.t003

Haplotype diversity and nucleotide diversity for I. exustus were calculated in ARLEQUIN version 3.5.1.2 [36]. The genetic differentiation among the populations was calculated in ARLEQUIN based on pairwise FST.

Mismatch distribution analysis was used to test the history of population expansion. The sum-of-squares deviation (SSD) and Harpending’s raggedness index [38] were used to test the deviation from the sudden expansion model [39]. Furthermore, historical demographic expansions were determined by using neutrality tests conducted via the following two approaches: Fu’s Fs test [40] and Tajima’s D [41] tests, which are related to natural selection. Mismatch distribution analysis and neutrality tests were estimated by using ARLEQUIN.

Results

Infection of I. exustus with trematode cercaria

Two out of 575 snails (0.35%) were found to be infected with cercariae (Table 1). Two types of cercarial stages of trematodes were identified as furcocercous cercaria (Fig 1B) and xiphidiocercaria (Fig 1C). Additionally, the furcocercous cercaria was released from one I. exustus that was collected from the irrigation canal in Nakhon Sawan province (Central Thailand). Moreover, the xiphidiocercaria was liberated from one I. exustus that was collected from the lotus pond in Songkhla province (Southern Thailand).

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Fig 1. Maximum likelihood phylogenetic tree of I. exustus and trematode cercariae.

(A) ML phylogenetic tree of the haplotypes generated from 206 sequences of a partial COI sequence (569 bp) of I. exustus (162 sequences from Thailand and 44 sequences from other geographical regions). Samples in bold indicate infection with trematode cercariae. Biomphalaria pfeifferi was used as an out-group. (B) ML phylogenetic tree of the current furcocercous cercaria and related trematodes based on a partial 28S rDNA sequence (838 bp). (C) ML phylogenetic tree of the current xiphidiocercaria and related trematodes based on a partial ITS2 sequence (349 bp). The bold taxa represent the cercaria samples obtained from the current study. Support values (ML bootstrap/NJ bootstrap/Bayesian posterior probabilities) are shown above the branches of the phylogenetic tree. At the branches of the tree, a dash (-) indicates less than 50% support value or that a certain grouping was not observed via that method of analysis. The red color on the map represents the locations found to be I. exustus infected with trematode cercariae. Abbreviations: NSN, Nakhon Sawan province; SKA, Songkhla province. The map was created using MapChart software’s free version licence https://www.mapchart.net/terms.html#licensing-maps, under a CC BY license with permission of Minas Giannekas (owner and creator of the map-making website mapchart.net).

https://doi.org/10.1371/journal.pone.0297761.g001

Morphology of cercaria

A furcocercous cercaria was oval-elongated in shape. Its oral sucker was globular and situated at the terminal anterior part of the body, whereas the ventral sucker was located at three-fourths distance down the length of the body. In addition, it had one pair of eyespots. The tail was substantially longer than the body. Moreover, it had a dominant unique tail with two furcae, and each furca was obviously shorter than the tail stem (Fig 1B). The morphological characteristics of xiphidiocercaria were relatively small. Additionally, the body was oval-elongated in shape and unpigmented, and its oral sucker was globular and located in the subterminal region of the anterior part of the body, whereas the ventral sucker was situated in the middle of the body. This cercarial type had a dominant stylet present within the center of the oral sucker. The tail of this cercarial type was shorter than the body length (Fig 1C).

Molecular characterization of cercaria

The partial sequence data from PCR fragments of the 28S rDNA and ITS2 region were used to identify phylogenetic relationships of furcocercous cercaria and xiphidiocercaria, respectively. Based on 838 bp of the 28S rDNA gene, 5 samples (GenBank accession nos. OP600054-OP600058) of furcocercous cercaria from one I. exustus showed a high degree of identity (99%) with Euclinostomum sp. (GenBank accession no. MW604803). The ML tree derived from all of the sequences of 28S rDNA from the present study was clustered with a clade of Euclinostomum sp. in the family Clinostomidae with branch support values of 90, 90, and 98% for the ML, NJ, and Bayesian posterior probabilities, respectively (Fig 1B). The ITS2 sequence (349 bp) from one sample of xiphidiocercaria (GenBank accession no. OP586621) from one I. exustus displayed 99% similarity to Xiphidiocercariae sp. (GenBank accession no. MW020045). A maximum likelihood tree showed that the sequence in the present study was clustered with a clade of Xiphidiocercariae sp. with high bootstrap support values for ML, NJ, and Bayesian posterior probabilities of 100% (Fig 1C).

Molecular identification of I. exustus

To identify the Indoplanorbis species, 162 individual snails from 21 provinces in six regions of Thailand were randomly selected for genetic studies. Based on 569 bp of the COI gene, all 162 sequences (GenBank accession nos. OP588466-OP588627) in this study demonstrated the highest similarity (98–100%) with known COI sequences of I. exustus (GenBank accession nos. MH037077, MH037081, and MT274331). Moreover, the 16S rDNA gene (381 bp) from 162 specimens (GenBank accession nos. OP585918-OP586079) displayed 99–100% similarity with I. exustus (GenBank accession no. MH037103). In addition, the ITS1 sequences (GenBank accession nos. OP586437-OP586598) in this work showed 99–100% identity to I. exustus (GenBank accession no. MH037127) after a BLASTN search by using 600 bp of the ITS1 region.

Genetic diversity of I. exustus

The cytochrome oxidase subunit I (COI) (569 bp), 16S ribosomal DNA (rDNA) (381 bp), internal transcribed spacer I (ITS1) (600 bp), and combined dataset of two mtDNA regions (950 bp) were genetically analyzed from the 162 individual I. exustus samples, which represented 21 populations from Thailand, along with sequences from other geographical regions in GenBank (Table 3).

Analysis of the mitochondrial COI was conducted on 206 samples. This analysis identified 48 haplotypes (C1-C48) with 170 variable nucleotide sites. Of these, 45 haplotypes were unique, and three were shared by multiple populations. Haplotype C25 was the most shared among the populations found in Benin, Gabon, Ivory Coast, and Malaysia. Additionally, the haplotype diversity in each population ranged from 0 to 1.0000, with an overall of 0.5803. The nucleotide diversity in each population ranged from 0 to 0.0816, with an overall of 0.0224 (Table 4). In addition, among the 162 samples in the present study, 23 haplotypes (C1-C23) were identified. Only the C1 and C4 haplotypes of I. exustus were infected with furcocercous cercaria and xiphidiocercariae, respectively. Haplotype C1 was widely distributed in 20 populations encompassing six geographic regions of Thailand, accounting for 79.0%. The haplotype diversity in each population in Thailand ranged from 0 to 0.7167, with an overall of 0.3756. Furthermore, the nucleotide diversity in each population ranged from 0 to 0.0046, with an overall of 0.0021 (Table 5).

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Table 4. Diversity indices of COI and 16S rDNA sequences in the I. exustus populations from Thailand and other geographical regions.

https://doi.org/10.1371/journal.pone.0297761.t004

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Table 5. Diversity indices of COI and 16S rDNA sequences in the I. exustus populations from 21 populations of Thailand.

https://doi.org/10.1371/journal.pone.0297761.t005

Analysis of the 16S rDNA (206 sequences) identified 73 variable nucleotide sites, which were identified and classified into 18 haplotypes (S1-S18). Seventeen haplotypes were unique, and one was shared by multiple populations. Haplotype S2 was found in populations in Thailand, Benin, Gabon, Indonesia, Ivory Coast, Laos, Malaysia, Nepal, Oman, Philippines, and Vietnam. In addition, the haplotype diversity in each population ranged from 0 to 0.9333, with an overall of 0.2954. Nucleotide diversity in each population ranged from 0 to 0.0718, with an overall of 0.0136 (Table 4). Among the I. exustus (162 sequences) from Thailand, 4 haplotypes (S1-S4) were identified. Only the S2 haplotype was infected with furcocercous cercaria and xiphidiocercariae. Moreover, haplotype S2 was dispersed in all populations, accounting for 93.80% of the haplotypes. Haplotype diversity for Thailand ranged from 0 to 1.0000, with an overall of 0.1214, and nucleotide diversity ranged from 0 to 0.0026, with an overall of 0.0003 (Table 5).

Regarding the analysis of 950 bp of combined mtDNA sequences (COI + 16S rDNA) that were obtained from 206 individuals, a total of 53 haplotypes (CS1-CS53) were identified with 243 variable nucleotide sites. Of these, 50 haplotypes were unique, and three were shared by multiple populations. Haplotype CS28 was the most shared among the populations found in Benin, Gabon, Ivory Coast, and Malaysia. Moreover, haplotype diversity ranged from 0 to 1.0000, with an overall of 0.6419, and nucleotide diversity ranged from 0 to 0.0780, with an overall of 0.0189 (S1 Table). Among the samples from Thailand, 26 haplotypes (CS1-CS26) were identified. Only CS2 and CS4 haplotypes were infected with furcocercous cercaria and xiphidiocercariae, respectively. Additionally, the CS2 haplotype had the highest frequency and was dispersed in all populations (except for Chanthaburi Province), accounting for 72.80%. Haplotype diversity in Thailand ranged from 0 to 1.0000, with an overall of 0.4701, and nucleotide diversity ranged from 0 to 0.0029, with an overall of 0.0014 (S2 Table).

The sequence alignment of 194 I. exustus samples based on the ITS1 region showed 131 variable nucleotide sites. These nucleotide samples were classified into 22 haplotypes (T1-T22), of which there were twenty unique haplotypes and two shared haplotypes. Haplotype T1 was the most shared among the populations found in Thailand, Benin, Gabon, Ivory Coast, Malaysia, Oman, and Vietnam. Moreover, haplotype diversity ranged from 0 to 0.9000, with an overall of 0.3487, and nucleotide diversity ranged from 0 to 0.0815, with an overall of 0.0122 (S3 Table). Among the I. exustus in Thailand, 10 haplotypes (T1-T10) were identified. Only the T1 haplotype was infected with furcocercous cercaria and xiphidiocercariae. Haplotype T1 was dispersed in all populations (except Sukhothai Province), accounting for 89.50% of the haplotypes. Furthermore, haplotype diversity for Thailand ranged from 0 to 1.0000, with an overall of 0.2040, and nucleotide diversity ranged from 0 to 0.0033, with an overall of 0.0003 (S4 Table).

Comparatively, when examining the genetic variability among the genetic markers in I. exustus in Thailand, the genetic distances of COI, 16S rDNA, ITS1, and combined mtDNA sequences among I. exustus in Thailand were 0–5.82%, 0–0.53%, 0–0.67%, and 0–3.49%, respectively. When comparing the genetic distance between I. exustus infected with furcocercous cercaria from Nakhon Sawan province (I410NSN1) and I. exustus from other regions in Thailand, genetic differences based on four genetic markers (COI, 16S rDNA, ITS1, and combined mtDNA) were observed between both groups, with the highest genetic difference observed in the COI gene (0.09%). In contrast, between I. exustus infected with furcocercous cercaria from Nakhon Sawan province (I410NSN1) and I. exustus uninfected from Nakhon Sawan province, genetic differences were found in three genetic markers (COI, ITS1, and combined mtDNA), with the highest genetic difference observed in the ITS1 region (0.04%). Furthermore, the genetic difference between I. exustus infected with xiphidiocercaria from Songkhla province (I532SKA2) and I. exustus from other regions in Thailand was highest in the COI gene (0.09%), but no genetic difference of the four genetic markers between I. exustus infected with xiphidiocercaria from Songkhla province (I532SKA2) and I. exustus uninfected from Songkhla province was observed (Table 6). There was no genetic difference was observed between I. exustus infected with furcocercous cercaria (I410NSN1) and I. exustus infected with Xiphidiocercaria (I532SKA2).

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Table 6. Pairwise genetic distances (%) among genetic markers of I. exustus samples.

https://doi.org/10.1371/journal.pone.0297761.t006

Phylogenetic and network analyses of I. exustus

The phylogenetic tree and haplotype network constructed from COI, 16S rDNA, ITS1, and combined mtDNA sequences demonstrated consistent results, which can be divided into four clades (A to D) (Figs 1A and 2 and S1S3 Figs). I. exustus clade A was the largest group and the most widely distributed in many regions throughout the world. Furthermore, only clade A of I. exustus was infected with furcocercous cercaria and xiphidiocercariae (Fig 1A).

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Fig 2. Median-joining haplotype networks of I. exustus from Thailand and other geographical regions.

(A) Haplotype network of the COI gene. (B) Haplotype network of 16S rDNA. (C) Haplotype network of combined mtDNA. (D) Haplotype network of ITS1. Each haplotype is represented by a circle, and circle sizes are proportional to haplotype frequency. Colors indicate the geographic origin of the haplotypes. Number on each branch represents the mutational step number, while the branch with no number represents one mutation step. Median vectors (small red dots) represent ancestral haplotypes that are either not sampled or missing haplotypes.

https://doi.org/10.1371/journal.pone.0297761.g002

The MJ network mitochondrial COI sequences (569 bp) were obtained from 162 sequences from individual I. exustus of Thailand and 44 sequences from other geographical regions in GenBank. Clade A was the largest group (186 sequences, 34 haplotypes) and contained all of the haplotypes from Thailand (C1-C23) together with haplotypes from South Asia, Southeast Asia, Southwest Asia, West Africa, Central Africa, and the Caribbean region. Clades B, C, and D contained haplotypes from only South Asia (Figs 1A and 2A). The estimates of evolutionary divergence showed that the percentages “within clade” (between 0% and 7.05%) were lower than “among clade” (between 8.11% and 16.93%) (S5 Table).

The 16S rDNA sequences (381 bp) demonstrated topologies similar to those of the COI gene. Based on the 16S rDNA sequences, four genetically divergent clades were found among 162 individuals of I. exustus from Thailand and 44 sequences from other geographical regions. Levels of genetic differentiation among four clades were much higher than those within clades. The genetic divergence of the 16S rDNA within clades was 0–1.84%, and that among clades was 3.16–10.05% (S5 Table). Moreover, clade A included 7 haplotypes (186 sequences), with four haplotypes (S1-S4) from Thailand together with 3 other haplotypes from South Asia, Southeast Asia, Southwest Asia, West Africa, Central Africa, and the Caribbean region. Clades B, C, and D comprised haplotypes from only South Asia (Fig 2B and S1 Fig).

The MJ network of combined mtDNA sequences (950 bp) demonstrated four genetically distinct clades similar to those of COI and 16S rDNA sequences. Clade A consisted of 37 haplotypes (186 sequences) with haplotypes CS1-CS26 from Thailand and was closely related to haplotypes from South Asia, Southeast Asia, Southwest Asia, West Africa, Central Africa, and the Caribbean region. Clades B, C, and D contained haplotypes from only South Asia (Fig 2C and S2 Fig). The estimates of evolutionary divergence within clades and among clades are shown in S5 Table.

The MJ network based on ITS1 sequences (600 bp) identified four genetically distinct clades similar to those of COI and 16S rDNA and combined mtDNA (Fig 2D and S3 Fig). The estimates of evolutionary divergence within clades and among clades are shown in S5 Table.

The haplotype network structure of I. exustus in Thailand represented a star-like phylogeny, with the most common haplotypes in the star’s center. For the MJ network in Thailand based on COI sequences, the most frequent haplotype C1 (128 sequences) was located at the center of the network and was widely distributed in 20 provinces in six regions. Moreover, based on the 16S rDNA gene, haplotype S2 (152 sequences) was the most widely distributed in 21 provinces in six regions. In addition, haplotype CS2 (118 sequences) of the MJ network based on the combined mtDNA was the most widely distributed in 20 provinces. Furthermore, based on ITS1 sequences, haplotype T1 (145 sequences) was the most widely distributed in 20 provinces in six regions of Thailand (Fig 3).

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Fig 3. Distribution of the haplotype for I. exustus in Thailand.

(A) Median joining network of 162 I. exustus in Thailand based on COI, 16S rDNA, combined mtDNA, and ITS1 sequences. Each haplotype is represented by a circle, and circle sizes are proportional to haplotype frequency. Colors indicate the geographic origin of the haplotypes. Number on each branch represents the mutational step number, while the branch with no number represents one mutation step. Median vectors (small red dots) represent ancestral haplotypes that are either not sampled or missing haplotypes. (B) Distribution of COI haplotypes of I. exustus in Thailand. Colors represent different regions: North = pink; Northeast = orange; Central = red; West = green; East = blue; and South = yellow. The map was created using MapChart software’s free version licence https://www.mapchart.net/terms.html#licensing-maps, under a CC BY license with permission of Minas Giannekas (owner and creator of the map-making website mapchart.net).

https://doi.org/10.1371/journal.pone.0297761.g003

Population genetic structure of I. exustus

Genetic differentiation among populations (FST) of I. exustus was analyzed based on COI, 16S rDNA, ITS1, and combined mtDNA. Population pairwise FST values for the COI, 16S rDNA, and combined mtDNA sequences of I. exustus from Thailand in 16 populations demonstrated that most populations were not genetically significantly different (Fig 4 and S6S8 Tables). Moreover, the population pairwise FST values based on the ITS1 sequences demonstrated that most populations between Sukhothai and the other populations were significantly different (Fig 4 and S9 Table).

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Fig 4.

Graphical representation of the pairwise FST distance matrix among the I. exustus populations estimated from COI sequences (A), 16S rDNA sequences (B), combined mtDNA sequences (C), and ITS1 sequences (D). Statistically significant FST values are marked with an asterisk (*).

https://doi.org/10.1371/journal.pone.0297761.g004

Demographic history of I. exustus

Mismatch distribution analysis demonstrated a unimodal mismatch graph (Fig 5), which was a characteristic of a recent population expansion. Both the sum-of-squares deviation and Harpending’s raggedness index were not significantly different from the simulated data under the sudden population expansion model (Fig 5). Population expansion was also supported by highly significant negative values of both Tajima’s D (−2.7186, P < 0.001 in COI; −2.7292, P < 0.001 in mtDNA) and Fu’s FS (−28.5901, P < 0.001 in COI; −28.6235, P < 0.001 in mtDNA) tests.

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Fig 5. Mismatch distribution of the 162 sequences of I. exustus for Thailand demonstrating observed and expected pairwise differences based on the predictions of the sudden population expansion model.

(A) Mismatch distribution of COI sequences of I. exustus consistent with the predictions of the sudden population expansion model (SSD = 0.0008, P = 0.6330; Harpending’s raggedness index = 0.2006, P = 0.7740). (B) Mismatch distribution of combined mtDNA sequences of I. exustus consistent with the predictions of the sudden population expansion model (SSD = 0.0034, P = 0.3980; Harpending’s raggedness index = 0.1121, P = 0.7920).

https://doi.org/10.1371/journal.pone.0297761.g005

Discussion

The present study described the low infection rate of trematode cercariae in I. exustus across Thailand. A wide range of infective investigations of cercaria-stage trematodes in I. exustus have been performed in Thailand. Spotted studies have demonstrated high degrees of diversities of trematode larvae infected in I. exustus [6, 42]. Our current study observed an overall 0.35% prevalence of cercarial infection in I. exustus collected from several habitats from 21 provinces in six regions of Thailand. The overall prevalence of infection was lower than in previous reports. Chontananarth et al. (2017) [43] surveyed the cercarial stages of trematodes in I. exustus from Nakhon Nayok province and reported a prevalence of 0.64%, whereas Wiroonpan et al. (2021) [42] demonstrated a 7.39% overall prevalence of trematode cercariae infection in I. exustus from Bangkok province. Most recently, Krailas et al. (2022) [6] reported of a 2.05% prevalence of cercariae-infected I. exustus, which was collected from Songkhla province of Thailand. The low cercarial infection rate may reflect the low diversity of secondary intermediate hosts and definitive hosts because of the lack of suitable habitats in urbanized areas. According to McKinney (2008) [44], localities with extremely urbanized areas tend to have low species diversity of mammals, reptiles, amphibians, and invertebrates. In addition, lower levels of certain anthropogenic activities, such as open-field defecation and urination, as well as a comparatively low proportion of livestock farming, can lead to low trematode infection rates in freshwater snails [45]. Another aspect (the low infection rates) could also be due to low parasite pressure due to infrequent miracidia and snail contact or to the acquisition of a level of resistance to infection by hosts [46]. Based on field observations, the I. exustus snail was commonly found to exist near or at the water surface level by attaching to floating aquatic plants or floating objects that move with the water current. Thus, it is possible that the low cercarial infection rate that was observed in this study results from a low probability of encounter between this snail species and miracidium-stage trematodes.

In the current study, only two cercarial types (furcocercous cercaria and xiphidiocercariae) were detected in I. exustus collected from Nakhon Sawan and Songkhla provinces, respectively. The external features of the furcocercous cercaria in the present investigation were consistent with the characteristics of furcocercous cercaria emerging from I. exustus [6]. The morphological features of the xiphidiocercariae in the current study were also consistent with the characteristics of the xiphidiocercaria collected from Bithynia siamensis siamensis [42]. In this study, the furcocercous cercaria were molecularly classified and closely clustered with a clade of Euclinostomum sp. in the family Clinostomidae. The family Clinostomidae is one of the parasites belonging to the digenetic trematode, with a life cycle requiring two intermediate hosts (snail and fish or frog) and one definitive host (bird). Adult flukes live in the oral cavities, pharynxes, and esophagi of reptiles and fish-eating birds (especially piscivorous birds) [47, 48]. At present, Euclinostomum sp. has never been reported to be involved in human diseases. For xiphidiocercariae, this cercaria was molecularly classified as having a close relationship to Xiphidiocercariae sp. with high bootstrap support values for ML, NJ, and Bayesian posterior probabilities of 100%. This type of cercaria has been previously observed in only Prosobranch snail (B. s. siamensis) collected from Bangkok province of Thailand [42]. However, there have been no reports on the pathogenesis and lifecycle of this cercaria.

In the present study, genetic characterization based on sequencing of the COI, 16S rDNA, ITS1, and combined mtDNA genes of I. exustus collected from across Thailand was performed with sequences from other geographical regions in GenBank. These genetic markers provided congruent results from the phylogenetic tree and haplotype network, which divided I. exustus into four different clades (A to D). For the phylogenetic tree and haplotype network based on COI sequences, clade A was the largest group containing haplotypes from all samples of Thailand together with South Asia, Southeast Asia, Southwest Asia, West Africa, Central Africa, and Caribbean region. Clade B contained all of the haplotype samples from South Asia, whereas clades C and D consisted of only samples from Nepal in South Asia. These results indicated that I. exustus clade A is the most widely distributed clade in many regions throughout the world. Genetic groups that were classified in our study were in concordance with all previous studies [3, 5, 15]. Mouahid et al. (2018) [3] revealed a phylogenetic tree of I. exustus divided into four clades (A-D). Clade A was specifically found in South Asia, clades B and C occurred in Southeast Asia and South Asia, and clade D occurred throughout a wide geographical range encompassing South Asia, Southeast Asia, Southwest Asia, West Africa, Central Africa, and the Caribbean region. The very high level of genetic divergence between the four clades ranged from 8.11% to 16.93% for COI, 3.16% to 10.05% for 16S rDNA, 6.34% to 13.74% for combined mtDNA, and 2.38% to 9.01% for ITS1. Indoplanorbis exustus was likely a complex of cryptic species, which was proposed by Devkota et al. (2015) [5], Gauffre‐Autelin et al. (2017) [15], and Saijuntha et al. (2021) [4].

With regard to the genetic variation of I. exustus, we examined the genetic variation of I. exustus covering 31 localities in 21 provinces in six regions of Thailand. I. exustus in Thailand showed high genetic divergence with 23 haplotypes (COI sequence), which was congruent with a previous report by Saijuntha et al. (2021) [4]. These scholars reported of a high genetic divergence with 21 haplotypes of I. exustus in Thailand based on the COI sequence. In addition, our results demonstrated that all of the haplotypes of I. exustus in Thailand (based on COI, 16S rDNA, ITS1, and combined mtDNA) belonged to clade A, which was the most common genetic group distributed worldwide. However, there were several unique haplotypes found in specific localities, thus leading to genetic differences between many localities. The high rate of self-fertilization in I. exustus [16] may lead to levels of population genetic differences because self-fertility allows for a single individual to rapidly establish populations in new habitats [49]. In addition, the different rivers in several areas of Thailand may also affect genetic differences and the genetic structure of I. exustus because the water flow was limited or not possible between various catchments. This would subsequently lead to limited gene flow and migration between the I. exustus populations across catchments, thus resulting in high degrees of genetic differences between areas. This phenomenon has been previously observed in other freshwater snails in Thailand, such as Bithynia siamensis and Hydrobioides nassa [50, 51].

Population genetic structure analysis of I. exustus in Thailand demonstrated that most comparisons were not genetically significantly different. This suggests that the gene flow within the I. exustus population in Thailand may elicit genetic homogeneity [52]. In addition, the MJ network analysis demonstrated that most specimens shared the central haplotype, with almost all of the remaining haplotypes connected to this central haplotype with a short branch length. The overall pattern resembles a star-like shape, which is characteristic of the recent demographic expansion of populations [53]. This effect was also supported by the unimodal mode of the mismatch distribution graph and highly negative values of both Tajima’s D and Fu’s Fs tests. Therefore, it is probable that the I. exustus snail is another freshwater snail invasive species in Thailand.

Our study was in concordance with the previous studies of Saijuntha et al. (2021) [4], which revealed that I. exustus in Thailand was commonly found in paddy fields, canals, and swamps, which were widely distributed in more than 30 provinces covering six regions of Thailand. This study also demonstrated that I. exustus in Thailand shared haplotypes throughout multiple populations, despite some areas being geographically distant localities. The presence of I. exustus far from its “original” geographic region is possibly linked to human activities of trading aquatic plants on which I. exustus can be attached. This scenario is one of the main sources of migration and gene flow of I. exustus in Thailand and worldwide [54].

I. exustus is a hermaphroditic invasive snail species with high fecundity. Within one year of introduction, the snail can colonize habitats with well-established populations of other pulmonate snails [54]. The capacity for self-fertilization and high fecundity likely underlies the invasive potential of the species [55] and may be important for the distribution of the parasite, as it is the natural intermediate host of many trematodes, such as Schistosoma indicum, S. nasale, S. spindale, and Echinostoma spp. [5, 6]. Therefore, when the vector of parasitosis is present in a geographical area, nothing excludes the emergence of the disease if the parasite is introduced [56].

Remarkably, our study found that only I. exustus clade A was infected with trematode cercariae, which is the most widely distributed clade in many regions throughout the world. In contrast to a previous study, Devkota et al. (2015) [5] reported of the existence of a snail-host complex and classified I. exustus into four different lineages. Lineage I included I. exustus infected with echinostome and Schistosoma sp. Lineage II comprised snails infected with xiphidiocercariae, strigeids, and sanguinicolid cercariae. Lineage III consisted of snails positive for S. nasale, and lineage IV comprised snails infected with strigeids, sanguinicolids, and xiphidiocercariae, S. indicum, S. spindale, S. nasale, and Schistosoma sp. The genetic composition of intermediate snail hosts could be an important factor determining the establishment success of parasites in a certain area [57]. At the molecular level, this scenario complies with the hypothesis of a matching phenotype model, wherein the interactions between parasite antigens and host immune receptors during the early stages of the infection determine the success or failure of the infection [58]. Snails compatible with parasites have little or no immunopathic responses upon infection, thus allowing parasites to successfully establish and develop [59]. However, the simultaneous characterization of host and parasite population genetic structure from natural populations is essential to understand coevolutionary trajectories [60].

Conclusion

In conclusion, we provide comprehensive data on cercarial infection and I. exustus snail distribution in Thailand. The snails from two provinces were infected with cercarial trematodes, and two types of cercarial stages were identified, including furcocercous cercaria and xiphidiocercaria. The haplotype network structure of I. exustus of Thailand has a star-like phylogeny, which is a characteristic of the recent demographic expansion of populations. This scenario is also supported by the unimodal mode of the mismatch distribution graph and highly negative values of both Tajima’s D and Fu’s Fs tests. Therefore, it is probable that the I. exustus snail is another freshwater snail invasive species in Thailand. In the future, more samples and a broader distribution of sampling sites are essential initial steps to investigate the genetic distribution patterns of I. exustus. Additionally, evaluating intricate causal connections between trematode infections and genetic alterations in snail hosts is a critical aspect that should not be disregarded.

Supporting information

S1 Fig. Maximum likelihood tree of 16S rDNA sequences (381 bp) of 18 haplotypes generated from 206 sequences of I. exustus (162 sequences from Thailand and 44 sequences from other geographical regions).

Support values (ML bootstrap/NJ bootstrap/Bayesian posterior probabilities) are shown above the branches. At the branches of the tree, a dash (-) indicates less than 50% support value or that a certain grouping was not seen by that method of analysis. Samples in bold indicate infected with trematode cercariae. Biomphalaria pfeifferi was used as an out-group. Abbreviations: NSN, Nakhon Sawan Province; SKA, Songkhla Province.

https://doi.org/10.1371/journal.pone.0297761.s001

(TIF)

S2 Fig. Maximum likelihood tree of the combined mitochondrial genes of COI and 16S rDNA (950 bp) of 53 haplotypes generated from 206 sequences of I. exustus (162 sequences from Thailand and 44 sequences from other geographical regions).

Support values (ML bootstrap/NJ bootstrap/Bayesian posterior probabilities) are shown above the branches. At the branches of the tree, a dash (-) indicates less than 50% support value or that a certain grouping was not seen by that method of analysis. Samples in bold indicate infected with trematode cercariae. Biomphalaria pfeifferi was used as an out-group. Abbreviations: NSN, Nakhon Sawan Province; SKA, Songkhla Province.

https://doi.org/10.1371/journal.pone.0297761.s002

(TIF)

S3 Fig. Maximum likelihood tree of ITS1 sequences (600 bp) of 22 haplotypes generated from 194 sequences of I. exustus (162 sequences from Thailand and 32 sequences from other geographical regions).

Support values (ML bootstrap/NJ bootstrap/Bayesian posterior probabilities) are shown above the branches. At the branches of the tree, a dash (-) indicates less than 50% support value or that a certain grouping was not seen by that method of analysis. Samples in bold indicate infected with trematode cercariae. Biomphalaria pfeifferi was used as an out-group. Abbreviations: NSN, Nakhon Sawan Province; SKA, Songkhla Province.

https://doi.org/10.1371/journal.pone.0297761.s003

(TIF)

S1 Table. Diversity indices of the combined mtDNA in the I. exustus populations from Thailand and other geographical regions.

https://doi.org/10.1371/journal.pone.0297761.s004

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S2 Table. Diversity indices of the combined mt DNA in the I. exustus populations from 21 provinces of Thailand.

https://doi.org/10.1371/journal.pone.0297761.s005

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S3 Table. Diversity indices of ITS1 sequences in the I. exustus populations from Thailand and other geographical regions.

https://doi.org/10.1371/journal.pone.0297761.s006

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S4 Table. Diversity indices of ITS1 sequences in the I. exustus populations from 21 provinces of Thailand.

https://doi.org/10.1371/journal.pone.0297761.s007

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S5 Table. Estimates of genetic differences (%) within (bold) and among clades of I. exustus based on COI, 16S rDNA, combined mtDNA, and ITS1 sequences.

https://doi.org/10.1371/journal.pone.0297761.s008

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S6 Table. Population pairwise FST between 16 populations of I. exustus based on mitochondrial cytochrome c oxidase I gene sequences.

https://doi.org/10.1371/journal.pone.0297761.s009

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S7 Table. Population pairwise FST between 16 populations of I. exustus based on mitochondrial 16S rDNA sequences.

https://doi.org/10.1371/journal.pone.0297761.s010

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S8 Table. Population pairwise FST between 16 populations of I. exustus of the combined mtDNA sequences.

https://doi.org/10.1371/journal.pone.0297761.s011

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S9 Table. Population pairwise FST between 16 populations of I. exustus based on ITS1 sequences.

https://doi.org/10.1371/journal.pone.0297761.s012

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Acknowledgments

We are grateful to Inham Dumidae, Siwanut Sonpom, Ketsarin Tipphet, and Prapasiri Worranuch for helping us to collect snails.

References

  1. 1. Liu L, Mondal MM, Idris MA, Lokman HS, Rajapakse PJ, Satrija F, et al. The phylogeography of Indoplanorbis exustus (Gastropoda: Planorbidae) in Asia. Parasit. Vectors. 2010; 3: 57. https://doi.org/10.1186/1756-3305-3-57.
  2. 2. Ng TH, Tan SK, Wong WH, Meier R, Chan SY, Tan HH, et al. Molluscs for Sale: Assessment of Freshwater Gastropods and Bivalves in the Ornamental Pet Trade. PLoS One. 2016; 11: e0161130. pmid:27525660
  3. 3. Mouahid G, Clerissi C, Allienne JF, Chaparro C, Al Yafae S, Mintsa Nguema R, et al. The phylogeny of the genus Indoplanorbis (Gastropoda, Planorbidae) from Africa and the French West Indies. Zool. Scr. 2018; 47: 558–564. https://doi.org/10.1111/zsc.12297.
  4. 4. Saijuntha W, Tantrawatpan C, Agatsuma T, Rajapakse R, Karunathilake KJK, Pilap W, et al. Phylogeographic genetic variation of Indoplanorbis exustus (Deshayes, 1834) (Gastropoda: Planorbidae) in South and Southeast Asia. One Health. 2021; 12: 100211. https://doi.org/10.1016/j.onehlt.2021.100211.
  5. 5. Devkota R, Brant SV, Loker ES. The Schistosoma indicum species group in Nepal: presence of a new lineage of schistosome and use of the Indoplanorbis exustus species complex of snail hosts. Int. J. Parasitol. 2015; 45: 857–870. https://doi.org/10.1016/j.ijpara.2015.07.008.
  6. 6. Krailas D, Namchote S, Komsuwan J, Wongpim T, Apiraksena K, Glaubrecht M, et al. Cercarial dermatitis outbreak caused by ruminant parasite with intermediate snail host: schistosome in Chana, South Thailand. Evol. Syst. 2022; 6: 151–173. https://doi.org/10.3897/evolsyst.6.87670.
  7. 7. Palmieri JR, Sullivan JT, Ow-Yang C.K. A survey of snail hosts and larval trematodes collected by peninsular Malaysia and Singapore from 1972 to 1977. Southeast Asian J. Trop. Med. Public Health. 1977; 8: 275–277. pmid:918717
  8. 8. Ditrich O, Nasincova V, Scholz T, Giboda M. Larval stages of medically important flukes (Trematoda) from Vientiane province, Laos. Part II. Cercariae. Ann. Parasitol. Hum. Comp. 1992; 67: 75–81. pmid:1290378
  9. 9. Narain K, Mahanta J. Dermatitis associated with paddy field environment in Assam, India. In: Bhasin, MK, Bhasin V, editors. Man-Environment Relationship. Kamla-Raj: Kolkatta; 2000. pp. 213–220.
  10. 10. Juhász A, Majoros G, Cech G. Threat of cercarial dermatitis in Hungary: A first report of Trichobilharzia franki from the mallard (Anas platyrhynchos) and European ear snail (Radix auricularia) using molecular methods. Int. J. Parasitol. Parasites Wildl. 2022; 18: 92–100. https://doi.org/10.1016/j.ijppaw.2022.04.009.
  11. 11. Singla N, Islam S, Kaur R, Singla LD. Studies on snails inhabiting rice crop fields in Punjab state. J. Vet. Parasitol. 2017; 31: 40–42
  12. 12. Faiz AH, Faiz LZ. Diversity and Damage Assessment of Snail in Cultivated Crops of Neelabut Bagh Azad Jammu and Kashmir (Pakistan). J. Biores. Manag. 2020; 7: 112–116. https://doi.org/10.35691/JBM.0202.0157.
  13. 13. Gittenberger E, Groenberg DSJ, Kokshoom B, Preece RC. Molecular trails from hitch hiking snails. Nature. 2006; 439: 409. https://doi.org/10.1038/439409a.
  14. 14. Jørgensen A, Kristensen TK, Stothard J. An investigation of the "Ancyloplanorbidae" (Gastropoda, Pulmonata, Hygrophila): preliminary evidence from DNA sequence data. Mol. Phylogenet. Evol. 2004; 32: 778–787. https://doi.org/10.1016/j.ympev.2004.02.011.
  15. 15. Gauffre-Autelin P, von Rintelen T, Stelbrink B, Albrecht C. Recent range expansion of an intermediate host for animal schistosome parasites in the indo-Australian Archipelago: phylogeography of the freshwater gastropod Indoplanorbis exustus in south and Southeast Asia, Parasit. Vectors. 2017; 10: 126. https://doi.org/10.1186/s13071-017-2043-6.
  16. 16. Bony KY, Konan KF, Edia OE, Kouassi N’Gouan C, Diomande D, Ouattara A. Anatomie et stratégies de reproduction de Indoplanorbis exustus (Deshayes, 1834), un mollusque invasif d’eau douce en Côte d’Ivoire (Afrique de l’Ouest). J. Appl. Biosci. 2013; 71: 5742–5752. https://doi.org/10.4314/jab.v71i1.98822.
  17. 17. Biedrzycka A, Popiołek M, Zalewski A. Host-parasite interactions in non-native invasive species are dependent on the levels of standing genetic variation at the immune locus. BMC. Evol. Biol. 2020; 20: 43. pmid:32299345
  18. 18. Brandt RA. The non-marine mollusca of Thailand. Archiv für Molluskenkunde; 1974.
  19. 19. Frandsen F. A field guide to freshwater snails in countries of the WHO Eastern Mediterranean region. Danish Bilharziasis Laboratory: Copenhagen; 1983.
  20. 20. Caron Y, Rondelaud D, Losson B. The detection and quantification of a digenean infection in the snail host with special emphasis on Fasciola sp. Parasitol. Res. 2008; 103: 735–744. https://doi.org/10.1007/s00436-008-1086-1.
  21. 21. Ramitha UC, Vasandakumar MV. Survey of freshwater snails in malabar, kerala and an account on the prevalence of infection by digenean (platyhelminth) parasites. J. Chem. Biol. Phys. Sci. 2015; 5: 4065–4070.
  22. 22. Chontananarth T, Wongsawad C. Epidemiology of cercarial stage of trematodes in freshwater snails from Chiang Mai province, Thailand. Asian Pac. J. Trop. Biomed. 2013; 3: 237–243. pmid:23620846
  23. 23. Anucherngchai S, Tejangkura T, Chontananarth T. Epidemiological situation and molecular identification of cercarial stage in freshwater snails in Chao-Phraya Basin, Central Thailand. Asian Pac. J. Trop. Biomed. 2016; 6: 539–545. https://doi.org/10.1016/j.apjtb.2016.01.015.
  24. 24. Anucherngchai S, Tejangkura T, Chontananarth T. Molecular confirmation of trematodes in the snail intermediate hosts from Ratchaburi Province, Thailand. Asian Pac. J. Trop. Dis. 2017; 7: 286–292. https://doi.org/10.12980/apjtd.7.2017D6-399.
  25. 25. Dunghungzin C, Chontananarth T. Prevalence of cercarial infections in freshwater snails and morphological and molecular identification and phylogenetic trends of trematodes. Asian Pac. J. Trop. Med. 2020; 13: 439–447. https://doi.org/10.4103/1995-7645.291037.
  26. 26. Folmer O, Black M, Hoeh W, Lutz R, Vrijenhoek R. DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Mol. Mar. Biol. Biotechnol. 1994; 3: 294–299. https://doi.org/10.1071/ZO9660275. pmid:7881515
  27. 27. Kessing B, Croom H, Martin A, Mcintosh C, Mcmillan WO, Palumbi S. The simple fool’s guide to PCR. University of Hawaii: Honolulu; 1989.
  28. 28. Ebbs ET, Loker ES, Brant SV. Phylogeography and genetics of the globally invasive snail Physa acuta Draparnaud 1805, and its potential to serve as an intermediate host to larval digenetic trematodes. BMC Evol. Biol. 2018; 18: 103. https://doi.org/10.1186/s12862-018-1208-z.
  29. 29. Sandoval N. Siles-Lucas M, Perez-Arellano JL, Carranza C, Puente S, Lopez-Aban J, et al. A new PCR-based approach for the specific amplification of DNA from different Schistosoma species applicable to human urine samples. Parasitology. 2006; 133: 581–587. https://doi.org/10.1017/S0031182006000898.
  30. 30. Barber KE, Mkoji GM, Loker ES. PCR-RFLP analysis of the ITS2 region to identify Schistosoma haematobium and S. bovis from Kenya. Am. J. Trop. Med. Hyg. 2000; 62: 434–440. https://doi.org/10.4269/ajtmh.2000.62.434.
  31. 31. Kumar S, Stecher G, Tamura K. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. Mol. Biol. Evol. 2016; 33: 1870–1874. pmid:27004904
  32. 32. Tamura K, Nei M. Estimation of number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzee. Mol. Biol. Evol. 1993; 10: 512–526. https://doi.org/10.1093/oxfordjournals.molbev.a040023.
  33. 33. Kimura M. A simple method for estimating evolutionary rate of base substitutions through comparative studies of nucleotide sequences. J. Mol. Evol. 1980; 16: 111–120. https://doi.org/10.1007/BF01731581.
  34. 34. Ronquist F, Teslenko M, van der Mark P, Ayres DL, Darling A, Höhna S, et al. MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst. Biol. 2012; 61: 539–542. pmid:22357727
  35. 35. Librado P, Rozas J. DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics. 2009; 25: 1451–1452. pmid:19346325
  36. 36. Excoffier L, Lischer HE. Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol. Ecol. Resour. 2010; 10: 564–567. pmid:21565059
  37. 37. Bandelt HJ, Forster P, Rohl A. Median-joining networks for inferring intraspecific phylogenies. Mol. Biol. Evol. 1999; 16: 37–48. pmid:10331250
  38. 38. Harpending HC. Signature of ancient population growth in a low-resolution mitochondrial DNA mismatch distribution. Hum. Biol. 1994; 66: 591–600. pmid:8088750
  39. 39. Roger AR, Harpending H. Population growth makes waves in the distribution of pairwise genetic differences. Mol. Biol. Evol. 1992; 9: 552–569. pmid:1316531
  40. 40. Fu YX. Statistical test of neutrality of mutations against population growth, hitch hiking and background selection. Genetics 1997; 147: 915–925.
  41. 41. Tajima F. Statistical methods for testing the neutral mutation hypothesis by DNA polymorphism. Genetics. 1989; 123: 585–595.
  42. 42. Wiroonpan P, Chontananarth T, Purivirojkul W. Cercarial trematodes in freshwater snails from Bangkok, Thailand: prevalence, morphological and molecular studies and human parasite perspective. Parasitology. 2021; 148: 366–383. pmid:33100233
  43. 43. Chontananarth T, Tejangkura T, Wetchasart N, Chimburut C. Morphological Characteristics and Phylogenetic Trends of Trematode Cercariae in Freshwater Snails from Nakhon Nayok Province, Thailand. Korean J. Parasitol. 2017; 55: 47–54. pmid:28285506
  44. 44. McKinney ML. Effects of urbanization on species richness: A review of plants and animals. Urban Ecosyst. 2008; 11: 161–176. https://doi.org/10.1007/s11252-007-0045-4.
  45. 45. Mereta ST, Bedewi J, Yewhalaw D, Mandefro B, Abdie Y, Tegegne D, et al. Environmental determinants of distribution of freshwater snails and trematode infection in the Omo Gibe River Basin, southwest Ethiopia. Infect. Dis. Poverty. 2019; 8: 93. pmid:31744539
  46. 46. Kigadye ESP. Studies on larval digeneans infecting freshwater snails. M.Sc. Thesis, The University of Dar es Salam. 1998.
  47. 47. McAllister CT, Bursey CR, Crawford JA, Kuhns AR, Shaffer C, Trauth SE. Metacercariae of Clinostomum (Trematoda: Digenea) from three species of Ambystoma (Caudata: Ambystomatidae) from Arkansas and Illinois, U.S.A. Comp. Parasitol. 2010; 77: 25–30. https://doi.org/10.1654/4385.1.
  48. 48. Calhoun DM, Leslie KL, Riepe TB, Achatz TJ, McDevitt-Galles T, Tkach VV, et al. Patterns of Clinostomum marginatum infection in fishes and amphibians: integration of field, genetic, and experimental approaches. J. Helminthol. 2019; 94: e44. https://doi.org/10.1017/S0022149X18001244.
  49. 49. Ryland JS, Bishop JDD. Prevalence of cross-fertilisation in the hermaphroditic compound ascidian Diplosoma listerianum. Mar. Ecol. Prog. Ser. 1990; 61: 125–132.
  50. 50. Bunchom N, Tantrawatpan C, Agatsuma T, Suganuma N, Pilap W, Suksavate W, et al. Genetic structure and evidence for coexistence of three taxa of Bithynia (Gastropoda: Bithyniidae), the intermediate host of Opisthorchis viverrini sensu lato (Digenea: Opisthorchiidae) in Thailand examined by mitochondrial DNA sequences analysis. Acta Trop. 2021; 221: 105980. https://doi.org/10.1016/j.actatropica.2021.105980.
  51. 51. Bunchom N, Saijuntha W, Vaisusuk K, Pilap W, Suksavate W, Suganuma N, et al. Genetic variation of a freshwater snail Hydrobioides nassa (Gastropoda: Bithyniidae) in Thailand examined by mitochondrial DNA sequences. Hydrobiologia. 2021; 848: 2965–2976. https://doi.org/10.1007/s10750-019-04013-2.
  52. 52. Szalanski AL, Austin JW, McKern JA, Steelman CD, Gold RE. Mitochondrial and ribosomal internal transcribed spacer 1 diversity of Cimex lectularius (Hemiptera: Cimicidae). J. Med. Entomol. 2008; 45: 229–236.
  53. 53. Slatkin M, Hudson RR. Pairwise comparisons of mitochondrial DNA sequences in stable and exponentially growing populations. Genetics. 1991; 129: 555–562. pmid:1743491
  54. 54. Pointier JP, David P, Jarne P. Biological invasions: the case of planorbid snails. J. Helminthol. 2005; 79: 249–256. pmid:16153319
  55. 55. Raut S, Rahman M, Samanta S. Influence of temperature on survival, growth and fecundity of the freshwater snail Indoplanorbis exustus (Deshayes). Mem. Inst. Oswaldo Cruz. 1992; 87: 15–19. https://doi.org/10.1590/s0074-02761992000100003.
  56. 56. Boissier J, Grech-Angelini S, Webster BL, Allienne JF, Huyse T, Mas-Coma S, et al. Outbreak of urogenital schistosomiasis in Corsica (France): An epidemiological case study. Lancet. Infect. Dis. 2016; 16: 971–979. pmid:27197551
  57. 57. Van den Broeck F, Maes GE, Larmuseau MH, Rollinson D, Sy I, Faye D, et al. Reconstructing Colonization Dynamics of the Human Parasite Schistosoma mansoni following Anthropogenic Environmental Changes in Northwest Senegal. PLoS Negl. Trop. Dis. 2015; 9: e0003998. https://doi.org/10.1371/journal.pntd.0003998.
  58. 58. Mitta G, Adema CM, Gourbal B, Loker ES, Theron A. Compatibility polymorphism in snail/schistosome interactions: From field to theory to molecular mechanisms. Dev. Comp. Immunol. 2012; 37: 1–8. pmid:21945832
  59. 59. Richards CS, Knight M, Lewis FA. Genetics of Biomphalaria glabrata and its effect on the outcome of Schistosoma mansoni infection. Parasitol. Today. 1992; 8: 171–174. https://doi.org/10.1016/0169-4758(92)90015-t.
  60. 60. Prugnolle F, Théron A, Pointier JP, Jabbour-Zahab R, Jarne P, Durand P, et al. Dispersal in a parasitic worm and its two hosts: consequence for local adaptation. Evolution 2005; 59: 296–303. https://doi.org/10.1111/j.0014-3820.2005.tb00990.x. pmid:15807416