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Journal of Parasitology Research
Volume 2013 (2013), Article ID 310605, 9 pages
Genetic Variation and Population Genetics of Taenia saginata in North and Northeast Thailand in relation to Taenia asiatica
Department of Helminthology, Faculty of Tropical Medicine, Mahidol University, 420/6 Ratchawithi Road, Bangkok 10400, Thailand
Received 24 April 2013; Accepted 2 June 2013
Academic Editor: Wej Choochote
Copyright © 2013 Malinee Anantaphruti et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Taenia saginata is the most common human Taenia in Thailand. By cox1 sequences, 73 isolates from four localities in north and northeast were differentiated into 14 haplotypes, 11 variation sites and haplotype diversity of 0.683. Among 14 haplotypes, haplotype A was the major (52.1%), followed by haplotype B (21.9%). Clustering diagram of Thai and GenBank sequences indicated mixed phylogeny among localities. By MJ analysis, haplotype clustering relationships showed paired-stars-like network, having two main cores surrounded by minor haplotypes. Tajima’s D values were significantly negative in T. saginata world population, suggesting population expansion. Significant Fu’s values in Thai, as well as world population, also indicate that population is expanding and may be hitchhiking as part of selective sweep. Haplotype B and its dispersion were only found in populations from Thailand. Haplotype B may evolve and ultimately become an ancestor of future populations in Thailand. Haplotype A seems to be dispersion haplotype, not just in Thailand, but worldwide. High genetic T. saginata intraspecies divergence was found, in contrast to its sister species, T. asiatica; among 30 samples from seven countries, its haplotype diversity was 0.067, while only 2 haplotypes were revealed. This extremely low intraspecific variation suggests that T. asiatica could be an endangered species.
Human taeniasis occurs worldwide. It is caused by Taenia saginata and T. solium. A third species, T. asiatica, is an additional source of intestinal infection in a number of Asian countries. Cattle are the most common source of T. saginata infection, while the most common cause of both T. solium and T. asiatica infection is swine. T. solium metacestodes, called Cysticercus cellulosae, reside in the animal’s muscle, whereas T. asiatica metacestodes, called C. viscerotropica, parasitize the liver. In its evolution, speciation of Taenia appears to be linked primarily to host switching among carnivore definitive hosts . This association between Taenia and humans is thought to have developed about 10,000 years ago, coincidental with the development of agriculture and the domestication of food animals, like cattle and pigs . Contraction of Taenia tapeworms by humans happened independently twice, both times by host switching from carnivore definitive hosts to primate definitive hosts . One is an ancestor of T. saginata + T. asiatica, and the other is T. solium. Geographical distribution has been extensively modified by European exploration and colonization since the 1500s and by ongoing globalization of agriculture and the changing patterns of human migration .
Understanding the genetic population structure of parasites helps to elucidate parasite transmission patterns and develop control measures . The population structure and genetic variation of T. solium revealed two separate groups: Asian and African/Latin American genotypes . Intraspecies strain variation among T. solium has been found to be minimal [7, 8]. Livestock farming of intermediate swine hosts may be reducing the possibility of genetic variation in T. solium. On the other hand, cattle, an intermediate host of T. saginata, are found in herds in a wide range of pastures. With different farming methods of this intermediate host, the population structure of T. saginata requires investigation.
Cytochrome c oxidase subunit I (cox1) genes of mitochondrial DNA have been commonly used for studying phylogenetic relationships among taeniid cestodes. Distinct intraspecific variations have been detected among various species, for example, Echinococcus granulosus , E. multilocularis , and T. taeniaeformis . However, little is known about cox1 genetic variation within a human Taenia species. A minor variation was observed in one isolate of T. saginata from Kenya and Poland , which compared mitochondrial cox1 and nuclear rDNA 28S sequences. In this study, we focused on the genetic variation of T. saginata among samples collected from various geographical localities in north and northeast Thailand, where this parasite is highly prevalent among local inhabitants [13, 14]. In-depth studies of the genetic divergence of T. saginata specimens in Thailand have never been conducted. Indeed, the genetic structure among populations of this species and its evolution in Thailand and throughout the world remains limited. Our aim, using partial sequencing of the mitochondrial cox1 gene, was to examine intraspecific variations and the population genetics of T. saginata in Thailand. The genetic divergence of the sister species, T. asiatica, from Thailand was also considered.
2. Materials and Methods
2.1. Studied Host Population and Parasites
Parasites were collected during the years 2009-2010 from four sites in north and northeast Thailand. The two sites in the north—one in the lowlands, the other in the upland hill tribe communities—are both in the Thung Chang district, Nan province, an area on the northern border with Lao PDR. The two sites in the northeastern region are in two different provinces: Ubon Ratchathani and Khon Kaen. Ubon Ratchathani shares borders with both southern Lao PDR and northern Cambodia. Khon Kaen lies closer to the center in the upper half of Thailand (Figure 1).
T. saginata was collected from both Taenia egg-positive persons and from persons who spontaneously discharged gravid proglottids. The worms were identified morphologically as T. saginata by scolex and/or gravid proglottids. Male infection rates were almost double females, at a ratio of 43 : 23. The ages of the infected individuals ranged between 12 and 83 years. The worms were fixed in 70% ethanol for molecular analysis. This study was approved by the Ethics Committees of the Faculty of Tropical Medicine, Mahidol University, and the Ministry of Public Health, Thailand. Informed consent was obtained prior to subject participation.
Twelve T. asiatica, previously collected from Kanchanaburi Province , were coprocessed with T. saginata. The cox1 sequences of 33 T. saginata and 18 T. asiatica from various different countries in the world, deposited in the GenBank database (Table 1), were also analyzed.
2.2. Molecular Studies
2.2.1. DNA Analysis
Partial proglottid fragments of individual strobila were separated and washed with distilled water to remove any ethanol remaining from the fixation process. The genomic DNA of each worm was extracted using a Genomic DNA Mini Kit (Geneaid, Sijhih City, Taiwan) per the manufacturer’s instructions. DNA was resuspended in 50 elution buffer (provided as part of the kit). The PCR amplicons were amplified using two oligonucleotide primers: cox1 (forward), 5′-CATGGAATAATAATGATTTTC-3′, and cox1 (reverse), 5′-ACAGTACACACAATTTTAAC-3′. These primers were designed from the alignment of T. saginata and T. asiatica mitochondrial cox1 genes (AB533171 and AB533175, resp.). PCR amplicons were produced in 50 of reaction mixture, containing: 10 ng genomic DNA; 0.5 of each primer; and 1x TopTaq Master Mix Kit (comprising TopTaq DNA Polymerase, PCR Buffer with 1.5 mM MgCl2, and 200 each dNTP) (QIAGEN, Germany). Amplification conditions were as follows: initial heating at 94°C for 3 min, followed by 30 amplification cycles, consisting of denaturation at 95°C for 30 sec, annealing at 53°C for 30 sec, and elongation at 72°C for 50 sec. PCR products were run into 1.2% agarose gel and visualized with a UV illuminator. The PCR amplicons were purified and sequenced by dideoxytermination method, using an ABI3730XL sequencer and BigDye v 3.1 (Applied Biosystems, Foster City, CA, USA) at Macrogen Inc. (Geumcheon-gu, Seoul, Republic of Korea). DNA sequences were aligned using the BioEdit program, version 7.0 . There is no conflict of interests with the commercial identities in this paper.
2.2.2. Population Genetic Analysis
The 924 bp cox1 gene population genetics of T. saginata samples from four different localities was analyzed. Genetic diversity values, including polymorphic sites between populations (S), haplotype numbers (h), haplotype diversity (Hd), nucleotide diversity (), theta-w (), and theta- () estimators to measure DNA polymorphism [17–19], were calculated using DnaSP version 4.0  and the Arlequin computer program, version 3.1 [21, 22]. These programs were also used to evaluate the genetic structure of the parasites under the population expansion effect, via Tajima’s D test and Fu’s test .
2.2.3. Clustering Diagram and Haplotype Network Analysis
The cox1 sequences were aligned by ClustalX version 2.0 , and the haplotypes then distinguished. A neighbor-joining (NJ) phylogram was constructed under p-distance model by MEGA version 5.0 . Bootstrap analyses were conducted using 1,000 replicates. A median-joining (MJ) network of cox1 haplotypes was illustrated by Network 188.8.131.52 Software (Fluxus Technology Ltd. (http://www.fluxus-engineering.com/)). The T. saginata world populations (Table 1) were also tested for genetic differentiation without regional separation by global AMOVA.
3.1. Parasites and Infections
A total of 73 Taenia saginata isolates were collected from 66 cases across the four study sites in north (Nan lowland, NL; Nan highland, NH) and northeast (Ubon Ratchathani, UB; Khon Kaen, KK) Thailand (Figure 1). The samples studied were 16 and 32 isolates from lowland and highland Nan Province in the north, and 9 and 16 isolates from Ubon Ratchathani and Khon Kaen provinces, in the northeast.
3.2. Mitochondrial cox1 DNA Sequence Analyses
Total DNA was extracted from 73 Taenia samples from four different geographical localities and then processed for sequencing. The partial cytochrome c oxidase subunit 1 (cox1) sequences confirmed that they were all T. saginata (GenBank accession nos. JN986646 to JN986718). The 924 bp cox1 sequences of these samples were divided into 14 discrete groups, represented as haplotypes A–N, and revealed 11 segregation (polymorphic) sites (S). Percentage intraspecific variation was 1.2%, with 1–5 nucleotide substitutions (Tables 2 and 3). Among these diverse haplotypes, two main ones had the highest ratio. Haplotype A was the most dominant haplotype (38/73, 52.1% of samples), in total and across all four localities. Haplotype B was the second most dominant (16/73 isolates, 21.9%) and was also detected in all localities. Between the two main haplotypes, A and B, there were two nucleotide substitutions (0.2%). The other haplotypes (haplotypes C–N) were detected in only 1–3 isolates (Table 2).
3.3. Population Genetics
The genetic diversity value of the 73 samples taken from the four localities, determined by haplotype diversity (Hd), was ; the nucleotide diversity () was . was greater than . Tajima’s D test of neutrality showed no significant value (−1.102, ) in these samples. A significant Fu’s value was, however, revealed (−7.565, ) (Table 3). The cox1 gene sequences of 33 T. saginata in different geographical areas from the GenBank database (Table 1) were included in the analysis. From 106 samples, 23 haplotypes (h) and 23 polymorphic sites (S) were revealed. Entire intraspecific variation was 2.5%. Mean haplotype diversity (Hd) was 0.686, and mean intrapopulation nucleotide diversity () was 0.00155. was greater than (Table 3). The nucleotide sequence of Haplotype A in our study (38) was identical to T. saginata in GenBank data for Thailand(7) and the other countries analyzed (China(2), Korea(1), Japan(1), Indonesia(2), Nepal(1), Ecuador(1), Brazil(2), Ethiopia(1), and Belgium(1)). The nucleotide sequence of Haplotype B was unique among the Thailand isolates, that is, 16 samples in this study and 3 from GenBank. The frequency of Haplotype A was 53.8% (57/106 samples); the frequency of Haplotype B was 17.9% (19 from 106 samples). Our sample sequences of Haplotype C–N and the GenBank sequences of Haplotype O–Q were unique among the Thailand isolates (Table 2). Some samples from China, Cambodia, Ecuador, Brazil, and Ethiopia showed nonidentical sequences (Haplotype R–W) (Table 2). In the GenBank data samples analyzed, noteworthy Tajima’s D value and Fu’s value (−1.878, −18.798) were observed (Table 3).
In looking at the sister species, T. asiatica, significant differences between T. asiatica and T. saginata were discovered. The 924 bp cox1 gene sequences of the 12 isolates from Kanchanaburi Province, Thailand, were all identical. Among 30 samples from seven different countries—China (4), Taiwan (1), Korea (2), Japan (3), the Philippines (1), Indonesia (3), and Thailand (16)—only two haplotypes of the cox1 gene were found, where the major haplotype comprised 29 samples. Only one sample from China had other haplotypes, and only one polymorphic site was found. Haplotype diversity Hd was 0.067. However, the value of nucleotide diversity of each of the two species was very low (Table 3).
3.4. Clustering Diagram and Haplotype Network
The clustering diagram of T. saginata cox1 gene indicated no significant genetic differentiation among the populations from the four different localities studied. T. saginata could not be separated by geographical locality, that is, upper north, east of, northeast, and central northeast Thailand (Figure 2). Similarly, T. saginata from the different countries (see Table 1) was not geographically discriminated. The median-joining (MJ) clustering relationship was constructed as a haplotype network (Figure 3). All haplotypes appeared to be separated into two groups which each cored at the two main haplotypes, A and B. Connectivity between them was seen with a number of shared divergent haplotypes. In addition, unique sequences of samples from different geographical countries, Haplotypes Q–W, showed connectivity to Haplotype A. Among these haplotypes, 1–4 nucleotide substitutions were revealed (Table 2). Additionally, of samples from Thailand only in the GenBank database, three had Haplotype B sequences; two unique sequence haplotypes (O and P) were connected to Haplotype B (Figure 3).
In this study, we investigated the population variation of Taenia saginata in Thailand. The results showed 11 haplotypes where distribution was not related to geographical locality. Samples in our study from the north (), northeast (), and west () (AB465231-3, AB465242, AB465247-8, AB465236, and AB465239) of Thailand were mixed together. Intraspecific variations in cox1 genes have been reported among T. saginata samples from a number of different localities, including China, Ethiopia, France, Indonesia, Korea, Lao PDR, the Philippines, Taiwan, Thailand, and Switzerland. Global genetic divergence was 1.2–1.8% in the nucleotide variant positions of the total 1620 bp length [26, 27]. In terms of nucleotide divergence of large-scale samples from Thailand, 11S, 1.2% displayed the results of isolates from global infection. However, among the worldwide T. saginata populations (), the Thai isolates () and GenBank isolates () used in this analysis, a high level of genetic variation (23S, 2.5%) was found. The genetic diversity values, haplotype diversity (Hd), and nucleotide diversity () found in populations in this study and in other combined populations were similar.
By MJ network, Haplotype B showed connectivity to Haplotype A in the T. saginata world population. In the T. saginata sequences, 19 of 33 (57.6%) from GenBank were identical to Haplotype A. Consequently, the star-like expansion in the MJ network of the major haplotype confirms Haplotype A as an ancestor among the T. saginata world population. It also suggests that the subpopulation of minor haplotypes recently experienced a significant increase from its ancestors. Haplotype B and its star-like expansion network were unique to the Thailand isolates. Indeed, it is possible for Haplotype B diverged genetically to be the recent common ancestor of T. saginata in Thailand. However, the major Haplotype A contained half () of the total population we analyzed. This means that T. saginata Haplotype A may share its genetic ancestry with populations from a variety of different geographical areas, in Asia as well as those in other continents. less than indicates purifying selection, which results in selective removal of the deleterious allele in the population . Tajima’s D value is significantly negative in the world population but not in the Thailand population. The significant Fu’s value revealed in isolates from both Thailand and the world population, however, suggests that the population is growing and is hitchhiking due to population expansion and selective sweep . The samples analyzed from each country were too small to be able to estimate this expansion and the genetic structure of T. saginata populations worldwide.
T. asiatica is the third Taenia tapeworm of humans and is reported only in Asian countries. It is distributed in specific areas across several countries, including Taiwan , Korea , China , Vietnam , Indonesia , and Thailand . It is estimated that T. saginata and T. asiatica diverged from other human tapeworms about one million years ago (Mya), 0.414–1.616 Mya. T. saginata lineages emerged at an earlier period than T. asiatica. Lineages of T. saginata emerged at 238,000 years, while that of T. asiatica were at 41,000 years . Very low intraspecies diversity of T. asiatica has been observed. Identical partial cox1 gene nucleotide sequences have been found in 5 isolates (366 bp) from unspecified areas of Taiwan ; 17 isolates (337 bp) have been found across different localities in Korea ; and 12 isolates (924 bp) have been found in Kanchanaburi Province of Thailand. Of the total 1620 bp sequence length, only two variant nucleotide positions (0.1%) were detected in 5 isolates from China (2), the Philippines (1), and Korea (2) . The low genetic variation of T. asiatica suggests populations of T. asiatica tapeworm to be small. The prevalence of T. asiatica is low when compared to T. saginata infections in most countries [35–37]. Also, Tajima’s D value revealed no gene flow in T. asiatica, a result which indicates obvious differences in the population structures of T. saginata and T. asiatica. To date, since the emergence of T. saginata and T. asiatica, cattle have been known to be the intermediate hosts for T. saginata and swine for T. asiatica. The livestock management of these two intermediate host species has been different, and this may be an impact factor for these parasites. Pigs are raised feeding in restricted shed areas; gene flow among parasite populations in pigs, therefore, is diminished. In cattle farming, especially in Thailand, the animals are herded by grazing on naturally grown pastures, particularly pastures of postharvest rice which often cover wide distances. Furthermore, such cattle are frequently untransported, while daily herds are moved to a main city slaughterhouse over a relatively long period of time. The chances of cattle coming into contact with contaminated Taenia eggs, whether from human carriers during grazing or whilst drinking stream water from place to place, remain. This supports no specific locality in T. saginata populations for each genotype. It may even suggest that T. saginata tapeworm populations migrated during host cattle farming. Gene flow among T. saginata may have been influenced by host population migration. The difference in population genetics found in T. saginata suggests that intraspecies populations are growing. On the other hand, its sister species, T. asiatica, reveals very low genetic diversity. Such low divergence may indicate a loss of potential adaptive alleles for surviving in a changing environment, which could lead to the overall reduction of T. asiatica populations.
Cattle also act as definitive hosts for the liver fluke Fasciola spp. Ichikawa et al.  investigated the 535 bp partial nucleotide sequences of the nad1 gene in 88 adult Fasciola flukes from three localities in Myanmar and found 27 substitution sites that yielded 20 haplotypes. A major haplotype revealed 54.6% (48/88 flukes) frequency and was seen in all three areas regardless of locality. The intraspecies genetic variation in Fasciola spp. is thought to have been introduced to Myanmar through ancient anthropogenetic movements of domestic ruminants. This seems to be the main factor determining mixing of the parasite population. Likewise, cattle host movements suggest intraspecific genetic variations of T. saginata populations in our study. Despite the fact that cattle serve as the definitive host for Fasciola spp. but the intermediate hosts for T. saginata, this status of intermediate host and definitive host does not influence different genetic variation of parasite species.
Our work shows that T. saginata adult worm isolates from humans, from two locations in the north and two provinces in northeast Thailand, exploited intraspecific genetic variability, without correlation with the geographical region of origin. The phylogenetic network of cox1 sequences revealed 14 haplotypes from 73 samples. Thirty-three sequences from GenBank were added, and 23 haplotypes were exploited among the 106 samples. The genetic divergence of world T. saginata populations was 2.5%. Two main haplotypes, A and B, showed connectivity between them. Haplotype A seems to be an ancestor of T. saginata in the world population. Haplotype B and its dispersion are unique to the Thailand population. Intensive studies and a greater number of samples from different geographical areas are required to clarify the population genetics of T. saginata both in Thailand and worldwide.
Special thanks are extended to staff of the various health centers at each study site and particularly to Mr. Somjet Yos-alai at Thung Chang Hospital in Nan Province. The authors would also like to thank the Director of the Northeastern Region Hydro Power Plant of the Electricity Generating Authority of Thailand and its staff for aiding their cooperation with local health centers and communities and for providing accommodation at Sirindhorn Dam and Ubolratana Dam during their stay in Ubon Ratchathani and Khon Kaen. The authors sincerely thank Dr. Yukifumi Nawa for his comments and suggestions for improving this Paper. This study was supported by an internal research grant from Mahidol University.
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