Hostname: page-component-745bb68f8f-b6zl4 Total loading time: 0 Render date: 2025-02-11T09:41:26.723Z Has data issue: false hasContentIssue false

Morphological and molecular characterization of larval trematodes infecting the assassin snail genus Anentome in Thailand

Published online by Cambridge University Press:  27 July 2022

N. Chomchoei
Affiliation:
Ph.D.'s Degree Program in Biodiversity and Ethnobiology (International Program), Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand Applied Parasitology Research Laboratory, Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand
T. Backeljau
Affiliation:
Royal Belgian Institute of Natural Sciences (BopCo - Barcoding facility for organisms and tissues of policy concern), Vautierstraat 29, B-1000 Brussels, Belgium Evolutionary Ecology Group, University of Antwerp, Universiteitsplein 1, B-2610 Antwerp, Belgium
B. Segers
Affiliation:
Royal Belgian Institute of Natural Sciences (BopCo - Barcoding facility for organisms and tissues of policy concern), Vautierstraat 29, B-1000 Brussels, Belgium
C. Wongsawad
Affiliation:
Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand Applied Parasitology Research Laboratory, Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand Research Center in Bioresources for Agriculture, Industry and Medicine, Faculty of Science, Chiang Mai University, Chiang Mai, 50200, Thailand
P. Butboonchoo
Affiliation:
Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand Applied Parasitology Research Laboratory, Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand Research Center in Bioresources for Agriculture, Industry and Medicine, Faculty of Science, Chiang Mai University, Chiang Mai, 50200, Thailand
N. Nantarat*
Affiliation:
Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand Applied Parasitology Research Laboratory, Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand Research Center in Bioresources for Agriculture, Industry and Medicine, Faculty of Science, Chiang Mai University, Chiang Mai, 50200, Thailand
*
Author for correspondence: N. Nantarat, E-mail: n_nantarat@yahoo.com
Rights & Permissions [Opens in a new window]

Abstract

The assassin snail genus Anentome is widespread in Southeast Asia, and is distributed all over the world via the aquarium trade. One species of genus Anentome, Anentome helena, is known to act as intermediate host of parasitic trematodes. This study investigates the taxonomic diversity of larval trematodes infecting A. helena and Anentome wykoffi in Thailand. Larval trematodes were identified by combining morphological and DNA sequence data (cytochrome c oxidase I and internal transcribed spacer 2). Species delimitation methods were used to explore larval trematode species boundaries. A total of 1107 specimens of Anentome sp. were collected from 25 localities in Thailand. Sixty-two specimens of A. helena (n = 33) and A. wykoffi (n = 29) were infected by zoogonid cercariae, heterophyid metacercariae and echinostome metacercariae, with an overall prevalence of 5.6% (62/1107) and population-level prevalences in the range of 0.0–22.3%. DNA sequence data confirmed that the larval trematodes belong to the families Echinostomatidae, Heterophyidae and Zoogonidae. As such, this is the first report of zoogonid cercariae and heterophyid metacercariae in A. helena, and echinostome metacercariae in A. wykoffi. Moreover, this study provides evidence of tentative species-level differentiation between Thai Echinostoma sp. and Cambodian Echinostoma mekongi, as well as within Echinostoma caproni, Echinostoma trivolvis and Echinostoma revolutum.

Type
Research Paper
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

Introduction

Trematode parasites can cause serious risks to the health of their vertebrate hosts, including humans, and as such, can have negative agricultural and economic impacts (Abe et al., Reference Abe, Guan and Guo2018; Dodangeh et al., Reference Dodangeh, Daryani, Sharif, Gholami, Kialashaki, Moosazadeh and Sarvi2019). The life cycles of parasitic trematodes are usually complex, but a common feature is that various freshwater snails can act as the first and/or the second intermediate hosts (Keiser & Utzinger, Reference Keiser and Utzinger2009). In Thailand, trematode larval stages have been reported parasitizing snails like Filopaludina spp., Bithynia spp., Melanoides tuberculata, Tarebia granifera, Thiara scabra and Anentome sp. (Chantima et al., Reference Chantima, Chai and Wongsawad2013, Reference Chantima, Suk-Ueng and Kampan2018; Chontananarth & Wongsawad, Reference Chontananarth and Wongsawad2013; Chomchoei et al., Reference Chomchoei, Wongsawad and Nantarat2018).

The freshwater assassin snail (genus Anentome Cossmann, 1901) belongs to the family Nassariidae (Galindo et al., Reference Galindo, Puillandre and Utge2016; Strong et al., Reference Strong, Galindo and Kantor2017) and occurs in lower river reaches, lakes and ponds in southern China and throughout Southeast Asia, including Thailand. They are non-selective predators and scavengers of a wide variety of gastropods (Bogan & Hanneman, Reference Bogan and Hanneman2013; Strong et al., Reference Strong, Galindo and Kantor2017). Recently, Anentome sp., in particular Anentome helena (von dem Busch, 1847), has become a popular ornamental pet to control herbivorous snails in aquaria (Ng et al., Reference Ng, Tan, Wong, Meier, Chan, Tan and Yao2016). Yet, Anentome sp. is also an intermediate host of several trematode parasites (Chantima et al., Reference Chantima, Chai and Wongsawad2013; Chomchoei et al., Reference Chomchoei, Wongsawad and Nantarat2018), and in Thailand, it acts as intermediate host of the families Brachylaimidae (Brachylaima virginianum), Cyathocotylidae (Mesostephanus appendiculatoides), Echinostomatidae (Echinostoma revolutum), Lissorchiidae (Apatemon gracilis) and Opecoelidae (Allopodocotyle lepomis) (Krailas et al., Reference Krailas, Chotesaengsri, Dechruksa, Namchote, Chuanprasit, Veeravechsukij, Boonmekam and Koonchornboon2012; Chantima et al., Reference Chantima, Chai and Wongsawad2013, Reference Chantima, Suk-Ueng and Kampan2018; Yutemsuk et al., Reference Yutemsuk, Krailas, Anancharoenkit, Phanpeng and Dechruksa2017; Chomchoei et al., Reference Chomchoei, Wongsawad and Nantarat2018; Wiroonpan et al., Reference Wiroonpan, Chontananarth and Purivirojkul2020). Moreover, the families Brachylaimidae, Cyathocotylidae and Echinostomatidae include zoonotic trematodes that cause various clinical infections in humans (Chai & Jung, Reference Chai and Jung2019; Wiroonpan et al., Reference Wiroonpan, Chontananarth and Purivirojkul2020). Given that Anentome sp. is widespread in Thailand and is exported all over the world via the aquarium trade, it is necessary to assess its importance as a reservoir and vector for these parasitic trematodes.

The morphological identification of larval trematodes is difficult due to their small size, the limited number of taxonomically useful morphological characters and the intraspecific variability, but at the same time interspecific or even intergeneric homogeneity of these characters (Choudhary et al., Reference Choudhary, Ray, Pandey and Agrawal2019). Therefore, the morphological identification of larval trematodes should be corroborated by DNA sequence data, since these are capable of identifying trematodes in any stage of their life cycle (Choudhary et al., Reference Choudhary, Ray, Pandey and Agrawal2019). In this context, the nuclear ribosomal internal transcribed spacer 2 (ITS2) and the mitochondrial cytochrome c oxidase subunit 1 (COI) genes are popular and informative markers for the identification and taxonomic interpretation of larval trematodes (Barnett et al., Reference Barnett, Miller and Cribb2014; Anucherngchai et al., Reference Anucherngchai, Tejangkura and Chontananarth2016; Dunghungzin & Chontananarth, Reference Dunghungzin and Chontananarth2020), particularly if they are used in combination with species delimitation methods (Pérez-Ponce De León et al., Reference Pérez-Ponce De León, Garciá-Varela, Pinacho-Pinacho, Sereno-Uribe and Poulin2016; Gordy & Hanington, Reference Gordy and Hanington2019).

Against this background, this study aims to investigate the diversity and prevalence of trematode larvae in two species of the assassin snail genus Anentome in Thailand based on morphological and DNA sequence data.

Materials and methods

Freshwater snails sampling and identification

Anentome samples were collected throughout Thailand (table 1 and fig. 1) from January 2017 to February 2021 using the count per minute method (Chomchoei et al., Reference Chomchoei, Wongsawad and Nantarat2018). Specimens were obtained from streams, rivers, irrigation canals, weirs and ponds. The snails were identified based on shell morphology and by comparison with their original descriptions (Brandt, Reference Brandt1974).

Fig. 1. Sampling localities of Anentome sp. in Thailand. Trematode-infected localities are marked in red and uninfected localities are marked in black.

Table 1. List of localities and Anentome species examined and infected with trematode larvae in Thailand.

Larval trematode identification

Larval trematode infections were investigated using crushing methods (Caron et al., Reference Caron, Rondelaud and Losson2008) under a stereomicroscope Olympus SZ40. The cercarial and metacercarial cysts were morphologically observed, excysted under a stereomicroscope and photographed with a microscope camera Optikam Pro 3LT-4083.11LT under a compound microscope Olympus CX31. The specimens were fixed with 4% formalin, stained with haematoxylin, dehydrated using an ethanol gradient, cleared with xylene and mounted in Permount. The permanent slides of specimens were measured in μm using an eyepiece micrometre under a compound microscope. The cercariae and metacercariae were then classified according to morphological characteristics described by Frandsen & Christensen (Reference Frandsen and Christensen1984), Kanev et al. (Reference Kanev, Fried and Radev2009) and Schell (Reference Schell1970). Next, individual cercariae and metacercariae were stored in 95% ethanol until use for DNA sequencing. Four parameters were estimated: (1) prevalence of the parasite species (percentage of individual host snails infected by parasite species); (2) mean intensity of the metacercariae infection (the mean number of metacercariae per individual infected host snail); (3) mean abundance of the metacercariae infection (the mean number of metacercariae per individual host snail); and (4) population prevalence (percentage of populations infected per host species). The population prevalence between host species populations was compared by a t-test (p < 0.05) using IBM SPSS Statistics version 20.0 (IBM Corp, 2013).

DNA extraction, polymerase chain reaction (PCR) amplification and sequencing

Genomic DNA was extracted from individual cercariae or metacercariae using 150 μl of Chelex® 100 and 3 μl of Proteinase K. Samples were incubated at 55°C for 1 h and 95°C for 30 min, then centrifugated at 13000 rpm. DNA extracts were stored at −20°C until use. ITS2 and COI were amplified using the following primers: ITS3 (5′-GCATCGATGAAGAACGCAGC-3′) and ITS4 (5′-TCCTCCGCTTATTGATATGC-3′) for ITS2 (Barber et al., Reference Barber, Mkoji and Loker2000) and JB3 (5′-TTTTTTGGGCATCCTGAGGTTTAT-3′) and JB4.5 (5′-TAAAGAAAGAACATAATGAAAATG-3′) for COI (Bowles et al., Reference Bowles, Blair and McManus1992). PCR reaction mixtures contained 0.3 μL of Taq DNA polymerase, 0.7 μl of 50 mm magnesium chloride, 1 μl of each primer, 2 μl of 10X ViBuffer A, 0.4 μl of Deoxynucleoside triphosphates (dNTPs) and 1 μl of the DNA template. Thermal cycling conditions were as follows: 94°C for 2 min, followed by 35 cycles of 94°C for 1 min, 48°C for 30 s, 72°C for 45 s and a final extension step of 72 C for 7 min for ITS2 and 95°C for 3 min, followed by 40 cycles of 95°C for 1 min, 50°C for 1 min, 72°C for 1 min and a final extension step of 72°C for 7 min for COI. The amplified products were checked with 1% (w/v) agarose gel electrophoresis using 1x TBE buffer (Tris-Borate-EDTA). Gels were run at 100 V for 20 min and visualized with RedSafe® nucleic acid staining solution and ultraviolet transillumination. PCR products were purified and sequenced using the BigDye® Terminator v3.1 cycle sequencing kit chemistry and 1st BASE DNA Sequencing Services (Applied Biosystems, Selangor, Malaysia).

Phylogenetic analysis

DNA sequences were edited and aligned with ClustalW (Thompson et al., Reference Thompson, Higgins and Gibson1994) in MEGA version 7 (Kumar et al., Reference Kumar, Stecher and Tamura2016). COI sequences were checked for stop codons and frameshift mutations. All sequences have been deposited in GenBank (see supplementary table S1). Phylogenetic trees were inferred using neighbour joining (NJ), maximum likelihood (ML) and Bayesian inference (BI). The genus Schistosoma was used as outgroup. The best-fit evolutionary substitution models based on the Akaike Information Criterion (Akaike, Reference Akaike1974) implemented in jModelTest version 0.1.1 (Darriba et al., Reference Darriba, Taboada, Doallo and Posada2012) were applied: GTR + I + G for both COI and ITS2, and HKY + G for concatenated datasets. NJ (Saitou & Nei, Reference Saitou and Nei1987) trees were constructed using PAUP* version 4.0 (Swofford, Reference Swofford2003) with 1000 bootstrap replicates. ML (Sullivan, Reference Sullivan2005) trees were constructed using PhyML version 3 (Guindon et al., Reference Guindon, Delsuc, Dufayard and Gascuel2009) with 1000 bootstrap replicates. Bootstrap values higher than 70% were considered as providing strong support (Hillis & Bull, Reference Hillis and Bull1993). Bayesian inference was performed using MrBayes version 3.1.2 (Ronquist et al., Reference Ronquist, Teslenko and van der Mark2012). The Markov Chain Monte Carlo (MCMC) search was run with four chains for 10,000,000 generations, with the heating parameter set at 0.07, tree sampling every 100 generations and burn-in set at 25%. Posterior probabilities were considered significant when ≥0.95 (San Mauro & Agorreta, Reference San Mauro and Agorreta2010). Tree topologies were drawn with FigTree version 1.4.3 (Rambaut, Reference Rambaut2010). Genetic distances between species were examined using Kimura 2-parameter (K2P) (Srivathsan & Meier, Reference Srivathsan and Meier2012) distances calculated in MEGA version 7 (Kumar et al., Reference Kumar, Stecher and Tamura2016).

Species delimitation

Species delimitation methods were applied to the COI data using the (1) assemble species by automatic partitioning (ASAP) (Puillandre et al., Reference Puillandre, Brouillet and Achaz2021), (2) generalized mixed Yule-coalescent (GMYC) (Fujisawa & Barraclough, Reference Fujisawa and Barraclough2013) and (3) Bayesian Poisson tree processes (bPTP) (Zhang et al., Reference Zhang, Kapli, Pavlidis and Stamatakis2013) methods.

ASAP was run on the web server (https://bioinfo.mnhn.fr/abi/public/asap/) with the default settings. The input tree for GMYC and bPTP was produced using the relaxed log-normal clock algorithm implemented in the BEAST version 1.8.2 package (Suchard et al., Reference Suchard, Lemey, Baele, Ayres, Drummond and Rambaut2018). The GTR + I+G model was applied to reconstruct the tree for 1 × 107 generations with sampling every 1000 steps. The MCMC output was examined in Tracer version 1.645 (Rambaut et al., Reference Rambaut, Drummond, Xie, Baele and Suchard2018) and analysed with TreeAnnotator version 1.7.4. The tree file was displayed in FigTree version 1.4.3 (Rambaut, Reference Rambaut2010). GMYC was performed using both a single and a multiple threshold and run on the web server (https://species.h-its.org/gmyc/). bPTP was carried out on the bPTP web server (https://species.h-its.org/ptp/).

Results

Larval trematode infections in Anentome spp.

In total, 1107 specimens of Anentome sp. were identified from 25 localities (table 1 and fig. 1), involving two species: A. helena (n = 822) and A. wykoffi (n = 285). Sixty-two individuals of A. helena (n = 33) and A. wykoffi (n = 29) were infected by parasites. The overall prevalence was 5.6% (62/1107; table 1), and the infected specimens came from five localities (seen fig. 1): A. helena from four localities, the districts of Mae Rim (no. 3), San Kamphaeng (no. 4), Chom Thong (no. 6) and Meuang Pan (no. 8); and A. wykoffi from one locality – Aranyaprathet district (no. 18).

There were three types of larval trematodes infecting A. helena and A. wykoffi, including zoogonid cercariae, heterophyid metacercariae and echinostome metacercariae. The highest prevalence was found for echinostome metacercariae in A. wykoffi with 10.2% prevalence (29/285; table 2). The population prevalences were as follows: A. helena = 21.1% (4/19) and A. wykoffi = 16.7% (1/6) (table 3).

Table 2. Overview of larval trematode infections in Anentome sp. from Thailand.

Table 3. Population prevalence of larval trematode infections in Anentome sp. from Thailand.

* Significant difference at p < 0.05.

Larval trematode morphology

Zoogonid cercariae (number of larvae = 11)

Host. Anentome Helena.

Localities. Mae Rim district, Chiang Mai province (18°53′35.0″N, 98°57′39.3″E) (no. 3; fig. 1).

GenBank accession numbers. MZ822059 and MZ822060 for COI, and MZ825155 and MZ825156 for ITS2.

Description. Body, no tail, fusiform, mean length 322.0 μm (range: 240.0–392.5 μm) and mean width 140.2 μm (range: 107.5–197.5 μm), with widest point immediately anterior to ventral sucker. Oral sucker, with stylet, ventrally subterminal, mean length 40.9 μm (range: 22.5–55.0 μm) and mean width 35.5 μm (range: 20–57.5 μm). Ventral sucker, near the middle of part of the body, mean length 50.5 μm (range: 27.5–75.0 μm) and mean width 42.7 μm (range: 20.0–72.5 μm). Pharynx, mean length 9.5 μm (range: 7.5–10.0 μm) and mean width 7.0 μm (range: 5.0–7.5 μm). Excretory bladder, oval, mean length 32.6 μm (range: 29.0–37.0 μm) and mean width 26.4 μm (range: 23.4–30.1 μm). Penetration glands, numerous (fig. 2a).

Fig. 2. Light microscopic photographs of trematode cercariae and metacercariae infecting Anentome sp. in Thailand: (a) zoogonid cercariae; (b) heterophyid metacercarial cyst; (c) excysted heterophyid metacercaria; (d) echinostome metacercarial cyst; (e, f) excysted echinostome metacercaria. Abbreviations: c, caecum; cs, collar spine; cw, cyst wall; e, oesophagus; eb, excretory bladder; eg, excretory granule; os, oral sucker; p, pharynx; s, stylet and vs, ventral sucker.

Heterophyid metacercariae (number of larvae = 3)

Host. Anentome helena.

Localities. Mae Rim district, Chiang Mai province (18°53′35.0″N, 98°57′39.3″E) (no. 3; fig. 1) and Meuang Pan district, Lampang province (18°32′04.0″N, 99°28′26.8″E) (no. 8; fig. 1).

GenBank accession numbers. MZ822061 and MZ822062 for COI, and MZ825157 and MZ825158 for ITS2.

Description. The metacercarial cyst, almost spherical, mean diameter 110.99 μm (range: 109.6–112.8 μm), with a thick outer wall of about 8 μm (fig. 2b). The excysted metacercaria, elongated, oval, mean length 197.7 μm (range: 184.5–222.5 μm) and mean width 92.5 μm (range: 76.1–105.6 μm). Body, with fine spines. Oral sucker, globular or oval, ventrally subterminal, mean length 50.2 μm (range: 45.1–57.7 μm) and mean width 50.2 μm (range: 45.1–53.5 μm). Ventral sucker, globular or oval, mean length 35.2 μm (range: 32.4–39.4 μm) and mean width 35.7 μm (range: 33.8–38.0 μm). Pharynx, spherical, mean length 23.9 μm (range: 21.1–25.4 μm) and mean width 22.1 μm (range: 21.1–22.5 μm). Excretory bladder, c-shaped, rather small (fig. 2c).

Echinostome metacercariae (number of larvae = 9)

Host. Anentome helena and A. wykoffi.

Localities. For A. helena, the districts San Kamphaeng (18°46′02.8″N, 99°07′06.3″E) (no. 4; fig. 1) and Chom Thong (18°16′36.2″N, 98°38′38.2″E) (no. 6; fig. 1) in Chiang Mai province, and for A. wykoffi, Aranyaprathet district, Sa Kaeo province (13°40′05.6″N, 102°31′24.8″E) (no. 18; fig. 1).

GenBank accession numbers. MZ822063, MZ822064, MZ822065 and MZ822066 for COI, and MZ825159, MZ825160, MZ825161 and MZ825162 for ITS2.

Description. The metacercarial cyst, with collar spines, almost spherical, mean diameter 208.9 μm (range: 189.4–227.7 μm), with a thick outer wall of about 10 μm. Excretory granules, large, round in two descending canals of the main excretory bladder (fig. 2d). The excysted metacercariae, elongated and oval, mean length 600.0 μm (range: 584.6–623.1 μm) and mean width 151.9 μm (range: 146.2–161.5 μm). Oral sucker, ventrally subterminal, with a prominent head crown, mean length 61.2 μm (range: 59.6–63.8 μm) and mean width 54.3 μm (range: 51.1–61.7 μm). Collar spines, 37 in total, clearly visible around the head collar, with five corner spines on each side and 27 ventral, lateral, and dorsal spines, in two alternating rows. Ventral sucker, near the equatorial line of the body, mean length 84.1 μm (range: 82.6–84.6 μm) and mean width 75.0 μm (range: 73.1–76.9 μm). Pharynx, mean length 32.7 μm (range: 30.8–38.5 μm) and mean width 32.7 μm (range: 30.8–38.5 μm). The metacercariae, mainly in the stomach of the snails (fig. 2e, f). No morphological differences were observed between the echinostome metacercariae of the different populations.

Phylogenetic analyses

Nucleotide sequences of the COI (387 bp), ITS2 (715 bp) and the concatenated dataset of the two DNA fragments (1102 bp) were aligned, along with Schistosoma mansoni and Schistosoma intercalatum as outgroups. The numbers of variable/parsimony-informative characters were: 196/186 (COI), 377/328 (ITS2) and 573/514 (concatenated dataset). The phylogenetic trees obtained by applying NJ, ML and BI to the concatenated dataset showed three well-supported clades (fig. 3) coinciding with five trematode families: Echinostomatidae (clade A), Heterophyidae and Opisthorchiidae (clade B), and Zoogonidae and Microphallidae (clade C), with clades B and C jointly forming a clade with strong supports. The trees based on the concatenated datasets will be used for further discussion. Not unexpectedly, the trees based on the separate analyses of COI and ITS2 (see supplementary figs S1 and S2) were somewhat less well resolved, but were still largely congruent or did not significantly contradict the concatenated analyses.

Fig. 3. The BI tree obtained from DNA sequence analysis of the concatenated dataset of ITS2 and COI (1102 bp). Numbers at the branches are NJ bootstrap (BP)/ML bootstrap (BP)/BI posterior probability (PP) values, respectively. Values of BP < 0.95 and PP < 70 are not shown. New sequences from this study are highlighted in bold. Scale bar refers to a phylogenetic distance of nucleotide substitutions per site.

Clade A included sequences of the genera Echinostoma, Echinoparyphium and Hypoderaeum from the family Echinostomatidae that were joined with maximum supports. Within clade A, the sequences of the echinostome metacercariae from Thai A. helena and A. wykoffi were joined in a well-supported clade with sequences of Echinostoma mekongi. The mean K2P distance between echinostome species was 12.61% (3.02–23.93%) for COI and 5.92% (1.53–13.59%) for ITS2.

Clade B consisted of the families Heterophyidae and Opisthorchiidae. The heterophyid metacercariae from Thai A. helena were joined and nested in this clade with strong supports. The mean K2P distance between heterophyid species was 23.37% (14.92–31.39%) for COI, and 13.65% (2.00–19.66%) for ITS2. However, the family Heterophyidae appeared to be paraphyletic with respect to the Opisthorchiidae.

Clade C consisted of the families Zoogonidae and Microphallidae. The zoogonid cercariae from Thai A. helena were nested in this clade as a sister group of Cercaria capricornia XI with good support. The mean K2P distance between zoogonid species was around 12.04% for COI and 24.82% (9.87–37.69%) for ITS2.

The mean K2P COI divergence between Cambodian E. mekongi and Thai Echinostoma sp. was 3.02%, whereas the mean K2P COI divergences within Thai Echinostoma sp. or within Cambodian E. mekongi were 0.01% and 0.54%, respectively. Moreover, the mean K2P COI divergences within Echinostoma caproni and within Echinostoma trivolvis were 1.64% and 1.63%, respectively (table 4). The mean K2P COI divergences between Thai Echinostoma sp. or Cambodian E. mekongi and the most closely related Echinostoma species in the tree of fig. 3 (E. trivolvis) were 7.65% and 8.23%, respectively.

Table 4. Mean COI divergences (K2P model: % ± standard error) among the Echinostomatidae taxa included in the phylogenetic tree of fig. 3. Average intraspecific distances within each taxon are shown in bold.

Species delimitation

The three species delimitation methods (ASAP, GMYC and bPTP) confirmed the classical species boundaries in the Echinostomatidae included in fig. 3. Yet, they also separated Cambodian E. mekongi and Thai Echinostoma sp. into two putative species, while GMYC and bPTP split E. caproni and E. trivolvis each into two putative species (fig. 4).

Fig. 4. Species delimitation analyses of Echinostoma spp. based on COI using ASAP, GMYC and bPTP. Putative species are indicated in the columns on the right. Numbers at the branches are the highest Bayesian support values.

Discussion

This is the first nationwide study of the diversity and prevalence of larval trematodes in the assassin snail genus Anentome in Thailand. It shows that in Thailand, A. helena is a first intermediate host for zoogonid cercariae and a second intermediate host for heterophyid metacercariae and echinostome metacercariae, while A. wykoffi is a second intermediate host for echinostome metacercariae. For A. helena, this was already reported in previous studies (Krailas et al., Reference Krailas, Chotesaengsri, Dechruksa, Namchote, Chuanprasit, Veeravechsukij, Boonmekam and Koonchornboon2012; Chantima et al., Reference Chantima, Chai and Wongsawad2013, Reference Chantima, Suk-Ueng and Kampan2018; Yutemsuk et al., Reference Yutemsuk, Krailas, Anancharoenkit, Phanpeng and Dechruksa2017; Chomchoei et al., Reference Chomchoei, Wongsawad and Nantarat2018; Wiroonpan et al., Reference Wiroonpan, Chontananarth and Purivirojkul2020); however, it is the first record of an infection of A. wykoffi by larval trematodes. Although A. wykoffi showed the highest prevalence within a single population (22.3%, compared to the maximum of 16.3% in an A. helena population), the population prevalence in A. wykoffi (1/6 = 16.7%) was somewhat significantly lower than that of A. helena (4/19 = 21.1%), demonstrating again that prevalence is highly variable. Yet, there was no obvious geographic patterning in the prevalence. This is not surprising since the local prevalence of larval trematodes may depend on a plethora of factors, such as the abundance and diversity of the intermediate snail hosts, the presence of definitive hosts, water levels, season, water temperature, pH, salinity, habitat complexity, surrounding land use, etc. (Thaenkham et al., Reference Thaenkham, Phuphisut and Nuamtanong2017; Butboonchoo et al., Reference Butboonchoo, Wongsawad, Wongsawad and Chai2020).

Zoogonid cercariae and heterophyid metacercariae were only detected in A. helena. This may relate to their strict intermediate host specificity and the ecology of their definitive hosts (e.g. feeding habits, abundance, habitat or environmental factors). As such, zoogonid cercariae and heterophyid metacercariae seem to show a strict specificity to nassariid hosts (Barnett & Miller, Reference Barnett and Miller2018; Gilardoni et al., Reference Gilardoni, Etchegoin, Cribb, Pina, Rodrigues, Diez and Cremonte2020), which may be linked to the hosts’ physiological and behavioural resistance strategies with respect to controlling parasite growth, recovery from infection and tolerance against infection (Moore, Reference Moore2002).

The zoogonid cercariae observed in this study are morphologically similar to C. capricornia XI (Barnett et al., Reference Barnett, Miller and Cribb2014), but differ from this species by their morphometrics and by having a stylet, which C. capricornia XI lacks (Barnett et al., Reference Barnett, Miller and Cribb2014). Still, both the morphology and phylogenetic position of these cercaraeium cercarcariae tentatively suggest that they belong to the family Zoogonidae. This family includes intestinal trematodes of teleosts and elasmobranchs (Wardle, Reference Wardle1993; Barnett et al., Reference Barnett, Miller and Cribb2014; Gilardoni et al., Reference Gilardoni, Etchegoin, Cribb, Pina, Rodrigues, Diez and Cremonte2020), with gastropod species from the families Buccinidae, Columbellidae, Fasciolariidae, Nassariidae and Naticidae as first intermediate hosts (Barnett et al., Reference Barnett, Miller and Cribb2014; Gilardoni et al., Reference Gilardoni, Etchegoin, Cribb, Pina, Rodrigues, Diez and Cremonte2020). All of these gastropods are marine, except for the freshwater nassariid genera Anentome and Clea (Strong et al., Reference Strong, Galindo and Kantor2017). As such, this study is the first report of zoogonid parasites infecting freshwater nassariids of the genus Anentome.

The heterophyid metacercariae found in this study are morphologically similar to heterophyid metacercariae with a c-shaped and rather small excretory bladder (Scholz et al., Reference Scholz, Ditrich and Giboda1991). The DNA data nested them with strong support within a heterophyid clade comprising several genera. Moreover, the mean K2P distance between heterophyid species was 23.37% (14.92–31.39%) for COI and 13.65% (2.00–19.66%) for ITS2. Similar COI distances are indicative of species-level differentiation in other heterophyids, such as in the genus Stellantchasmus (Wongsawad et al., Reference Wongsawad, Nantarat, Wongsawad, Butboonchoo and Chai2019), so both the morphological and DNA evidence suggest that the heterophyid metacercariae in this study indeed belong to Heterophyidae. Still, this tentative conclusion needs further corroboration since heterophyid metacercariae are usually found encysted in fish (Waikagul & Thaenkham, Reference Waikagul, Thaenkham, Waikagul and Thaenkham2014) and the family Heterophyidae appeared paraphyletic with respect to the Opisthorchiidae; however, if the assignment of Heterophyidae is correct, then this is the first report of heterophyid metacercariae infecting the snail A. helena.

The echinostome metacercariae in this study have 37 collar spines and belong to the ‘Echinostoma revolutum group’, which comprises at least 16 valid and ten tentatively valid species worldwide (Chai et al., Reference Chai, Cho, Chang, Jung and Sohn2020). Based on the phylogenetic tree (fig. 3), the Thai echinostome metacercariae are well separated from E. mekongi in Cambodia by a mean K2P distance for COI of 3.02% (table 4), whereas the mean K2P divergence among E. mekongi haplotypes of COI was 0.54%. Given this pattern of divergence, it may be no surprise that ASAP, GMYC and bPTP supported a tentative species-level distinction between the Thai and Cambodian echinostome metacercariae (fig. 4); however, further research is needed to assess whether this tentative species-level differentiation is corroborated by the adult morphology of the parasites or whether it reflects geographical variation and population structuring.

A similar situation is observed in E. caproni, E. trivolvis and E. revolutum (fig. 4), where GMYC and bPTP supported species-level divergences within each of these three species, while ASAP further underpinned this suggestion within E. revolutum. In these cases, further research is needed to determine if geographic separation and host–parasite specificity limit gene flow between the trematode populations (Brunner & Eizaguirre, Reference Brunner and Eizaguirre2016; Wongsawad et al., Reference Wongsawad, Nantarat and Wongsawad2017) to the extent that they might represent different species. Hence, the current data suggest that the taxonomy of genus Echinostoma in Asia needs to be revised.

In conclusion, based on morphological and DNA sequence data, we found cercaraeium cercariae, heterophyid metacercariae and echinostome metacercariae in two species of assassin snails (genus Anentome). As such, this is the first report of (1) A. wykoffi being infected by larval trematodes, (2) putative zoogonid cercariae in A. helena and (3) putative heterophyid metacercariae in A. helena. We also provide evidence of tentative species-level differentiation between Thai Echinostoma sp. and Cambodian E. mekongi, as well as within E. caproni, E. trivolvis and E. revolutum.

Supplementary material

To view supplementary material for this article, please visit http://dx.doi.org/10.1017/S0022149X22000463

Acknowledgements

This research work was partially supported by Chiang Mai University. We are grateful for the financial support that we received from the Human Resource Development in Science Project (Science Achievement Scholarship of Thailand, SAST). We are indebted to the Applied Parasitology Research Laboratory for allowing us to use their lab infrastructure.

Financial support

This work was supported financially by the Human Resource Development in Science Project (Science Achievement Scholarship of Thailand, SAST).

Conflicts of interest

None.

Ethical standards

All experimental hosts were managed according to the guidelines approved by the Institute of Animals for Scientific Purpose Development (IAD), National Research Council of Thailand (permit number U1-07724-2561, issued to Nithinan Chomchoei). This study complied with all the relevant national regulations and institutional policies for the humane care and use of animals.

References

Abe, EM, Guan, W, Guo, YH, et al. (2018) Differentiating snail intermediate hosts of Schistosoma spp. using molecular approaches: fundamental to successful integrated control mechanism in Africa. Infectious Diseases of Poverty 7, 113.CrossRefGoogle ScholarPubMed
Akaike, H (1974) A new look at the statistical model identification. IEEE Transactions on Automatic Control 19, 716723.CrossRefGoogle Scholar
Anucherngchai, S, Tejangkura, T and Chontananarth, T (2016) Epidemiological situation and molecular identification of cercarial stage in freshwater snails in Chao-Phraya Basin, Central Thailand. Asian Pacific Journal of Tropical Biomedicine 6, 539545.CrossRefGoogle Scholar
Barber, KE, Mkoji, GM and Loker, ES (2000) PCR-RFLP analysis of the ITS2 region to identify Schistosoma haematobium and S. bovis from Kenya. American Journal of Tropical Medicine and Hygiene 62, 434440.CrossRefGoogle ScholarPubMed
Barnett, LJ and Miller, TL (2018) Host specificity and ecology of digenean parasites of nassariid gastropods in Central Queensland, Australia, with comments on host-parasite associations of the Nassariidae. Yale Journal of Biology and Medicine 91, 361374.Google ScholarPubMed
Barnett, LJ, Miller, TL and Cribb, TH (2014) A review of the currently recognised zoogonid cercariae, including the identification and emergence ecology of Cercaria capricornia XI (Digenea: Zoogonidae) from Nassarius olivaceus (Gastropoda: Nassariidae) in Central Queensland, Australia. Folia Parasitologica 61, 322330.CrossRefGoogle ScholarPubMed
Bogan, A and Hanneman, EH (2013) A carnivorous aquatic gastropod in the pet trade in North America: the next threat to freshwater gastropods. Ellipsaria 15, 1819.Google Scholar
Bowles, J, Blair, D and McManus, DP (1992) Genetic variants within the genus Echinococcus identified by mitochondrial DNA sequencing. Molecular and Biochemical Parasitology 54, 165173.CrossRefGoogle ScholarPubMed
Brandt, RAM (1974) The non-marine aquatic Mollusca of Thailand. Archiv für Molluskenkunde 105, 1423.Google Scholar
Brunner, FS and Eizaguirre, C (2016) Can environmental change affect host/parasite-mediated speciation? Zoology 119, 384394.CrossRefGoogle ScholarPubMed
Butboonchoo, P, Wongsawad, C, Wongsawad, P and Chai, JY (2020) Morphology and molecular identification of Echinostoma revolutum and Echinostoma macrorchis in freshwater snails and experimental hamsters in upper northern Thailand. Korean Journal of Parasitology 58, 499511.CrossRefGoogle ScholarPubMed
Caron, Y, Rondelaud, D and Losson, B (2008) The detection and quantification of a digenean infection in the snail host with special emphasis on Fasciola sp. Parasitology Research 103, 735744.CrossRefGoogle ScholarPubMed
Chai, JY and Jung, BK (2019) Epidemiology of trematode infections: an update. Advances in Experimental Medicine and Biology 1154, 359409.CrossRefGoogle ScholarPubMed
Chai, JY, Cho, J, Chang, T, Jung, BK and Sohn, WM (2020) Taxonomy of Echinostoma revolutum and 37-collar-spined Echinostoma spp.: a historical review. Korean Journal of Parasitology 58, 343371.CrossRefGoogle ScholarPubMed
Chantima, K, Chai, JY and Wongsawad, C (2013) Echinostoma revolutum: freshwater snails as the second intermediate hosts in Chiang Mai, Thailand. Korean Journal of Parasitology 51, 183189.CrossRefGoogle ScholarPubMed
Chantima, K, Suk-Ueng, K and Kampan, M (2018) Freshwater snail diversity in Mae Lao agricultural basin (Chiang Rai, Thailand) with a focus on larval trematode infections. Korean Journal of Parasitology 56, 247257.CrossRefGoogle Scholar
Chomchoei, N, Wongsawad, C and Nantarat, N (2018) Investigation of cryptic diversity and occurrence of echinostome metacercariae infection in Anentome helena (von dem Busch, 1847). Asian Pacific Journal of Tropical Medicine 11, 590596.Google Scholar
Chontananarth, T and Wongsawad, C (2013) Epidemiology of cercarial stage of trematodes in freshwater snails from Chiang Mai province, Thailand. Asian Pacific Journal of Tropical Biomedicine 3, 237243.CrossRefGoogle Scholar
Choudhary, K, Ray, S, Pandey, KC and Agrawal, N (2019) Morphological and molecular characterization of six Indian Tetracotyle type metacercariae (Digenea: Strigeidae Railliet, 1919), using ribosomal and mitochondrial DNA. Parasitology International 70, 3340.CrossRefGoogle Scholar
Darriba, D, Taboada, GL, Doallo, R and Posada, D (2012) JModelTest 2: more models, new heuristics and parallel computing. Nature Methods 9, 772.CrossRefGoogle ScholarPubMed
Dodangeh, S, Daryani, A, Sharif, M, Gholami, S, Kialashaki, E, Moosazadeh, M and Sarvi, S (2019) Freshwater snails as the intermediate host of trematodes in Iran: a systematic review. Epidemiology and Health 41, 113.CrossRefGoogle ScholarPubMed
Dunghungzin, C and Chontananarth, T (2020) Prevalence of cercarial infections in freshwater snails and morphological and molecular identification and phylogenetic trends of trematodes. Asian Pacific Journal of Tropical Medicine 13, 439447.Google Scholar
Frandsen, F and Christensen, NO (1984) An introductory guide to the identification of cercariae from African freshwater snails with special reference to cercariae of trematode species of medical and veterinary importance. Acta Tropica 41, 181202.Google Scholar
Fujisawa, T and Barraclough, TG (2013) Delimiting species using single-locus data and the generalized mixed Yule coalescent approach: a revised method and evaluation on simulated data sets. Systematic Biology 62, 707724.CrossRefGoogle ScholarPubMed
Galindo, LA, Puillandre, N and Utge, J (2016) The phylogeny and systematics of the Nassariidae revisited (Gastropoda: Buccinoidea). Molecular Phylogenetics and Evolution 99, 337353.CrossRefGoogle Scholar
Gilardoni, C, Etchegoin, J, Cribb, T, Pina, S, Rodrigues, P, Diez, ME and Cremonte, F (2020) Cryptic speciation of the zoogonid digenean Diphterostomum flavum n. sp. Demonstrated by morphological and molecular data. Parasite 27, 111.CrossRefGoogle Scholar
Gordy, MA and Hanington, PC (2019) A fine-scale phylogenetic assessment of digenean trematodes in Central Alberta reveals we have yet to uncover their total diversity. Ecology and Evolution 9, 31533238.CrossRefGoogle ScholarPubMed
Guindon, S, Delsuc, F, Dufayard, JF and Gascuel, O (2009) Estimating maximum likelihood phylogenies with PhyML. Methods in Molecular Biology 537, 113137.CrossRefGoogle ScholarPubMed
Hillis, DM and Bull, JJ (1993) An empirical test of bootstrapping as a method for assessing confidence in phylogenetic analysis. Systematic Biology 42, 182192.CrossRefGoogle Scholar
IBM Corp (2013) IBM SPSS statistics for windows, version 20.0. Armonk, New York, IBM Corp.Google Scholar
Kanev, I, Fried, B and Radev, V (2009) Collar spine models in the genus Echinostoma (Trematoda: Echinostomatidae). Parasitology Research 105, 921927.CrossRefGoogle Scholar
Keiser, J and Utzinger, J (2009) Food-borne trematodiases. Clinical Microbiology Reviews 22, 466483.CrossRefGoogle ScholarPubMed
Krailas, D, Chotesaengsri, S, Dechruksa, W, Namchote, S, Chuanprasit, C, Veeravechsukij, N, Boonmekam, D and Koonchornboon, T (2012) Species diversity of aquatic mollusks and their cercarial infections; Khao Yai National Park, Thailand. The Journal of Tropical Medicine and Parasitology 35, 3747.Google Scholar
Kumar, S, Stecher, G and Tamura, K (2016) MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Molecular Biology and Evolution 33, 18701874.CrossRefGoogle ScholarPubMed
Moore, J (2002) Parasites and the behavior of animals. New York, Oxford University Press, p. 326.Google Scholar
Ng, TH, Tan, SK, Wong, WH, Meier, R, Chan, SY, Tan, HH and Yao, DC (2016) Molluscs for sale: assessment of freshwater gastropods and bivalves in the ornamental pet trade. PLoS One 11, 123.CrossRefGoogle ScholarPubMed
Pérez-Ponce De León, G, Garciá-Varela, M, Pinacho-Pinacho, CD, Sereno-Uribe, AL and Poulin, R (2016) Species delimitation in trematodes using DNA sequences: middle-American Clinostomum as a case study. Parasitology 143, 17731789.CrossRefGoogle ScholarPubMed
Puillandre, N, Brouillet, S and Achaz, G (2021) ASAP: assemble species by automatic partitioning. Molecular Ecology Resources 21, 609620.CrossRefGoogle ScholarPubMed
Rambaut, A (2010) FigTree v1.4.3. Available at http://tree.bio.ed.ac.uk/software/figtree/ (accessed 22 March 2022).Google Scholar
Rambaut, A, Drummond, AJ, Xie, D, Baele, G and Suchard, MA (2018) Posterior summarization in Bayesian phylogenetics using Tracer 1.7. Systematic Biology 67, 901904.CrossRefGoogle ScholarPubMed
Ronquist, F, Teslenko, M, van der Mark, P, et al. (2012) MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Systematic Biology 61, 539542.CrossRefGoogle ScholarPubMed
Saitou, N and Nei, M (1987) The neighbor-joining method: a new method for reconstructing phylogenetic trees. Molecular Biology and Evolution, 406425.Google ScholarPubMed
San Mauro, D and Agorreta, A (2010) Molecular systematics: a synthesis of the common methods and the state of knowledge. Cellular and Molecular Biology Letters 15, 311341.CrossRefGoogle ScholarPubMed
Schell, SC (1970) How to know the trematodes. Iowa, W.C. Brown Company, p. 355.Google Scholar
Scholz, T, Ditrich, O and Giboda, M (1991) Differential diagnosis of opisthorchiid and heterophyid metacercariae (Trematoda) infecting flesh of cyprinid fish from Nam Ngum Dam Lake in Laos. The Southeast Asian Journal of Tropical Medicine and Public Health 22, 171173.Google ScholarPubMed
Srivathsan, A and Meier, R (2012) On the inappropriate use of Kimura-2-parameter (K2P) divergences in the DNA-barcoding literature. Cladistics 28, 190194.CrossRefGoogle ScholarPubMed
Strong, EE, Galindo, LA and Kantor, YI (2017) Quid est Clea helena? Evidence for a previously unrecognized radiation of assassin snails (Gastropoda: Buccinoidea: Nassariidae). PeerJ 5, 141.CrossRefGoogle Scholar
Suchard, MA, Lemey, P, Baele, G, Ayres, DL, Drummond, AJ and Rambaut, A (2018) Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10. Virus Evolution 4, 15.CrossRefGoogle ScholarPubMed
Sullivan, J (2005) Maximum-likelihood methods for phylogeny estimation. Molecular Evolution: Producing the Biochemical Data 395, 757779.Google ScholarPubMed
Swofford, DL (2003) PAUP*. Phylogenetic analysis using parsimony (*and other methods). Version 4.0b10. Sunderland, Massachusetts, Sinauer Associates.Google Scholar
Thaenkham, U, Phuphisut, O, Nuamtanong, S, et al. (2017) Genetic differences among Haplorchis taichui populations in Indochina revealed by mitochondrial COX1 sequences. Journal of Helminthology 91, 597604.CrossRefGoogle ScholarPubMed
Thompson, JD, Higgins, DG and Gibson, TJ (1994) CLUSTAL w: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Research 22, 46734680.CrossRefGoogle ScholarPubMed
Waikagul, J and Thaenkham, U (2014) Collection of fish-borne trematodes in infective stage from the fish: the second intermediate host. pp. 4960 in Waikagul, J and Thaenkham, U (Eds) Approaches to research on the systematics of fish-borne Trematodes. Cambridge, Massachusetts, Academic Press.CrossRefGoogle Scholar
Wardle, WJ (1993) A new zoogonid cercaria (Trematoda: Digenea) from the Florida horse conch, Pleuroploca gigantea in the Northwestern Gulf of Mexico. Journal of the Helminthological Society of Washington 60, 216218.Google Scholar
Wiroonpan, P, Chontananarth, T and Purivirojkul, W (2020) Cercarial trematodes in freshwater snails from Bangkok, Thailand: prevalence, morphological and molecular studies, and human parasite perspective. Parasitology 148, 366383.CrossRefGoogle ScholarPubMed
Wongsawad, C, Nantarat, N and Wongsawad, P (2017) Phylogenetic analysis reveals cryptic species diversity within minute intestinal fluke, Stellantchasmus falcatus Onji and Nishio, 1916 (Trematoda, Heterophyidae). Asian Pacific Journal of Tropical Medicine 10, 165170.CrossRefGoogle Scholar
Wongsawad, C, Nantarat, N, Wongsawad, P, Butboonchoo, P and Chai, JY (2019) Morphological and molecular identification of Stellantchasmus dermogenysi n. sp. (Digenea: Heterophyidae) in Thailand. Korean Journal of Parasitology 57, 257264.CrossRefGoogle Scholar
Yutemsuk, N, Krailas, D, Anancharoenkit, C, Phanpeng, L and Dechruksa, W (2017) Trematode infections of freshwater snails genus Clea A. Adams, 1855 in the reservoir of lower northeast Thailand. Joint International Tropical Medicine Meeting 6, 716.Google Scholar
Zhang, J, Kapli, P, Pavlidis, P and Stamatakis, A (2013) A general species delimitation method with applications to phylogenetic placements. Bioinformatics 29, 28692876.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1. Sampling localities of Anentome sp. in Thailand. Trematode-infected localities are marked in red and uninfected localities are marked in black.

Figure 1

Table 1. List of localities and Anentome species examined and infected with trematode larvae in Thailand.

Figure 2

Table 2. Overview of larval trematode infections in Anentome sp. from Thailand.

Figure 3

Table 3. Population prevalence of larval trematode infections in Anentome sp. from Thailand.

Figure 4

Fig. 2. Light microscopic photographs of trematode cercariae and metacercariae infecting Anentome sp. in Thailand: (a) zoogonid cercariae; (b) heterophyid metacercarial cyst; (c) excysted heterophyid metacercaria; (d) echinostome metacercarial cyst; (e, f) excysted echinostome metacercaria. Abbreviations: c, caecum; cs, collar spine; cw, cyst wall; e, oesophagus; eb, excretory bladder; eg, excretory granule; os, oral sucker; p, pharynx; s, stylet and vs, ventral sucker.

Figure 5

Fig. 3. The BI tree obtained from DNA sequence analysis of the concatenated dataset of ITS2 and COI (1102 bp). Numbers at the branches are NJ bootstrap (BP)/ML bootstrap (BP)/BI posterior probability (PP) values, respectively. Values of BP < 0.95 and PP < 70 are not shown. New sequences from this study are highlighted in bold. Scale bar refers to a phylogenetic distance of nucleotide substitutions per site.

Figure 6

Table 4. Mean COI divergences (K2P model: % ± standard error) among the Echinostomatidae taxa included in the phylogenetic tree of fig. 3. Average intraspecific distances within each taxon are shown in bold.

Figure 7

Fig. 4. Species delimitation analyses of Echinostoma spp. based on COI using ASAP, GMYC and bPTP. Putative species are indicated in the columns on the right. Numbers at the branches are the highest Bayesian support values.

Supplementary material: PDF

Chomchoei et al. supplementary material

Chomchoei et al. supplementary material

Download Chomchoei et al. supplementary material(PDF)
PDF 294.6 KB