Pichelin & Cribb (2001) described the family Transvenidae with two genera: monotypic
While, several studies have been published about sequence data for acanthocephalans including two
For extraction of genomic DNA, five adult worms of
PCR reactions were performed in 30 μL volumes containing 2 × red PCR premix (Ampliqon, Odense, Denmark), 20 pmol of each primer and 3 μL of extracted DNA. The partial 18S rRNA gene was amplified using the forward primer (5′-AGATTAAGCCATGCATG-CGTAAG-3′) and reverse primer (5′- ACCCACCGAATCAAGAAA-GAG-3′). Also, primers used for the amplification of the partial mitochondrial cytochrome oxidase subunit1 (
The obtained sequence results were manually edited and trimmed using Chromas software v.2.01 (Technelysium Pty Ltd., Brisbane, Queensland, Australia). Next, generated sequences were compared with GenBank submitted sequences using the Basic Local Alignment Search Tool (BLAST;
The phylogenetic tree was constructed using Maximum-Likelihood model and Tamura-3-parameter model by Molecular and Evolution Genetic Analysis software v.6 (MEGA 6). The reliability of topology of the tree was supported with Bootstrap value based on 1000 replications. The whole scientific names of acanthocephalan species, names of host species,
The authors declare compliance with all relevant ethical standards.
The specimens of
The phylogenetic reconstruction based on the partial sequence spanning the 18S rDNA showed that our sequence of
Recently, molecular methods are applied for species identification, classification and phylogenetic analysis of acanthocephalan species (García-Varela et al., 2002). To date, molecular profile has been provided for few species of the family Transvenidae including
This study showed that the interspecific variation between
The phylogenetic analysis of the 18S rDNA sequence (Fig. 1) showed that
Acanthocephalan species represented in the phylogenetic analysis with their family, host species, GenBank accession numbers, locations, and references.
Species | Host | GenBank | GenBank | Location | Reference |
---|---|---|---|---|---|
MK014866 | MK012665 | Japan | Steinauer et al. (2019) | ||
KJ590123 | KJ590125 | Brazil | Braicovich et al. (2014) | ||
- | MG757444 | China | Li et al. (2018) | ||
AF064814 | DQ089722 | Na* | García-Varela et al. (2000), García-Varela and Nadler (2006) | ||
JX014229 | - | Indonesia | Verweyen et al. (2011) | ||
MK457183 | MK572744 | Vietnam | Amin et al. (2019a) | ||
AY062433 | DQ089712 | Na | García-Varela et al. (2002), García-Varela and Nadler (2006) | ||
- | MF134296 | Australia | Barton et al. (2018) | ||
JX014227 | - | Indonesia | Verweyen et al. (2011) | ||
Na | KC291715 | KC291713 | Na | Paul et al. (unpublished) | |
AY830154 | DQ089715 | Na | Garcia-Varela and Nadler (2005, 2006) | ||
JX014224 | - | USA | Verweyen et al. (2011) | ||
JX014226 | - | USA | Verweyen et al. (2011) | ||
Percid fishes | MK770616 | MK770615 | Marine waters of Iraq and Iran | Present study | |
AY830153 | DQ089711 | Na | Garcia-Varela and Nadler (2005, 2006) | ||
MN105736, MN105737 | MN 104895, MN 104896 | South Africa | Lisitsyna et al. (2019) | ||
MN 105738 | - | South Africa | Lisitsyna et al. (2019) | ||
HM545903 | - | China | Wang et al. (unpublished) | ||
LC129278 | LC100044 | Japan | Nakao (2016) | ||
LC129279 | LC100057 | Japan | Nakao (2016) | ||
AY830152 | Na | Garcia-Varela and Nadler (2005), Benesh et al. (2006) | |||
AM039837 | England | Garcia-Varela and Nadler (2005), Benesh et al. (2006) | |||
AM039865 | Austria | Benesh et al. (2006) | |||
AY830151 | DQ089718 | Na | Garcia-Varela and Nadler (2005, 2006) | ||
AM039866 | Ireland | Benesh et al. (2006) | |||
LC129889 | Japan | Nakao (2016) | |||
KP261017 | Finland | Wayland et al. (2015) | |||
Na | AY218123 | AY218095 | Na | Giribet et al. (2004) | |
KP261018 | Finland | Wayland et al. (2015) | |||
AY830156 | DQ089710 | Na | Garcia-Varela and Nadler (2005, 2006) | ||
KP261015 | Atlantic Ocean: Porcupine Seabight | Wayland et al. (2015) | |||
KP261014 | Finland | Wayland et al. (2015) | |||
LC195887 | - | Japan | Mekata et al. (unpublished) | ||
- | KY490048 | China | Li et al. (2017) | ||
- | KY490045 | China | Li et al. (2017) | ||
- | DQ089709 | Na | Garcia-Varela and Nadler (2006) | ||
- | KY911281 | Na | Garcia-Varela et al. (2017) | ||
- | JF694273 | Na | Vijayan et al. (unpublished) | ||
AY423346 | AY423348 | France | Perrot-Minnot (2004) | ||
AY423347 | AY423351 | France | Perrot-Minnot (2004) | ||
AY830149 | DQ089713 | Na | Garcia-Varela and Nadler (2005, 2006) | ||
- | KP967562 | Peru | Lisitsyna et al. (2015) | ||
Na | - | DQ320484 | Na | Baker and Sotka(unpublished) | |
JX460865 | JX460877 | Croatia | Vardić Smrzlić et al. (2013) | ||
Na | AY830158 | DQ089705 | Na | Garcia-Varela and Nadler (2005, 2006) | |
AF001840 | DQ089706 | Na | |||
EU090950 | EU090949 | Na | Near et al. (1998), Garcia-Varela and Nadler (2006) | ||
AF092433 | DQ089707 | Na | García-Varela and Nadler (2005, 2006) | ||
AY830157 | DQ089708 | Na | García-Varela and Nadler (2005, 2006) | ||
JN830849 | Na | Pinacho-Pinacho et al. (2012) | |||
Na | DQ089704 | Na | García-Varela and Nadler (2006) | ||
Na | AF064811 | DQ089723 | Na | García-Varela and Nadler (2006), García-Varela et al. (2000) | |
Na | KU363969 | - | Iran | Dadar and Adel (unpublished) | |
KU363973 | - | Iran | Dadar and Adel (unpublished) |
*Na = not available
Our phylogenetic analysis of the
One of the most commonly used molecular markers for classification of acanthocephalans is the small subunit from RNA ribosomal gene or 18S rRNA. This gene displays a slow evolution rate and is highly conserved. It was used to infer phylogenetic relationships among the major classes of Acanthocephala (García-Varela & Pérez-Ponce de León, 2015). Most of phylogenetic studies of acanthocephalans similar to this research showed that 18S rDNA sequences appear to be suitable marker for phylogenies among acanthocephalans (García-Varela
Finally, the genetic data collected in the current study provide a better understanding of the taxonomic status of