Literature DB >> 35585126

Barcoding and species delimitation of Iranian freshwater crabs of the Potamidae family (Decapoda: Brachyura).

Kamran Rezaei Tavabe1, Mina Tavana1, Ali Reza Mirvaghefi1, Arash Jouladeh-Roudbar1, Paniz Rahimi2,3, Ignacio Doadrio2, Hamid Reza Ghanavi4.   

Abstract

Freshwater ecosystems are under multiple threats in modern times such as water extraction for human consumption, industries and agricultural activities, water contamination and habitat destruction for example. At the same time the biodiversity of these ecosystems are often poorly studied, especially in arid countries such as Iran. In this work, we study one of the ecologically important members of Iranian freshwater fauna, freshwater crab species of the genus Potamon. Here, we barcoded the different populations occurring in the country and delimited the species to allow for a better understanding of their distribution and taxonomy. In this study, we evaluated the taxonomical statues of Potamon species in Iran using genetic data. In addition, we created the first barcoding reference for Iranian freshwater crabs, which is an important resource for future environmental and conservation studies.
© 2022. The Author(s).

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Year:  2022        PMID: 35585126      PMCID: PMC9117283          DOI: 10.1038/s41598-022-12335-w

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


Introduction

Freshwater crabs (Crustacea: Decapoda: Brachyura Linnaeus, 1758) are different groups of Eubrachyurans, comprising approximately 20% of the biodiversity of Brachyuran. They are classified into three superfamilies: Potamoidea (Ortmann, 1896), Gecarcinucoidea Rathbun, 1904 and Trichodactyloidea (H. Milne Edwards, 1853)[1]. A new superfamily Pseudothelphusoidea has been proposed recently[2]. More than 1300 extant species of freshwater crabs have been described to date[1]. Freshwater crabs have a pantropical distribution range in the inland water bodies of the continents and adjacent islands, mainly in tropical and subtropical habitats of Neotropical, Palaearctic, Oriental, Australasian, and Afrotropical biogeographic regions[1]. They are among the largest detritivorous macroinvertebrate species[3] in freshwater ecosystems, where they play vital functional roles in ecological structure[4, 5]. On the other hand, due to the rapid loss and deterioration of habitats in freshwater ecosystems, especially in the tropics, the survival of many species, including crabs, is endangered. Approximately one-sixth of all freshwater crab species are at high risk of extinction, and approximately one-third are endangered[6]. Most species of endangered crabs are endemic to a restricted-range habitat and survive under the pressure of habitat loss, changing drainage patterns, and water pollution. Therefore, more studies are needed to understand their diversity and to protect endangered populations[6]. This is especially important in Middle Eastern countries, where freshwater ecosystems are under numerous environmental pressures. Iran, in the region, has one of the most diverse varieties of freshwater habitats, but most freshwater studies focus on ichthyofauna conservation[7]. Freshwater studies on freshwater crabs usually focus on taxonomy and species descriptions. In Brandis et al.[8], seven species of freshwater crabs of the genus Potamon have been reported from Iran: Potamon persicum Pretzmann, 1962; P. ruttneri Pretzmann, 1962; P. strouhali Pretzmann, 1962; P. transcaspicum Pretzmann, 1962; P. ibericum (Beiberstein, 1808); P. bilobatum Storch and Turkay, Brandis, 2000 and P. gedrosianum Alcock,1909. Later, Keikhosravi and Schubart described a new species, P. ilam Keikhosravi and Schubart, 2014[9], and revalidated P. elbursi Pretzmann, 1976[10]. Posteriorly, P. gedrosianum was reported in Iran from Zabol (southeastern Iran)[11]. The identification of the different species in the field, in collections or in labs is relatively challenging due to the similarity and high variation in the morphological characteristics of these species. The lack of taxonomic expertise and field guides makes it difficult to truly evaluate the conservation statuses and diversity of these important members of freshwater ecosystems. In recent years, with the development and proliferation of molecular techniques, one could easily identify different populations, directly or indirectly (i.e., environmental DNA approaches). Molecular approaches present their own set of challenges, one of them being the availability of easily accessible reference databases. In this study, we sampled different populations of freshwater crabs of the Potamon genus to (i) identify their taxonomic placement, (ii) evaluate the taxonomic validity of the recognized species using molecular data, and (iii) create a barcode reference for different species inhabiting Iranian freshwater ecosystems.

Results

The final sampling resulted in 110 individuals from six species (Table 1), which covers all the major freshwater bodies of Iran inhibited by this genus (Fig. 1). The final dataset consisted of 923 positions (mean sequence length of 798 bp), from which 205 were parsimony informative, 36 singletons and 682 invariable sites. ModelFinder analysis did not merge any partitions; therefore, each codon position formed an independent partition. The resulting phylogenetic tree (Fig. 2) does not have enough resolution to recover the phylogenetic relationships of the genus. However, each species forms a relatively clear cluster, which helps identify the species boundaries. All species recovered highly supported monophyletics, with the exception of Potamon persicum. The only two sequences representing P. bilobatum in our study were clustered inside the P. ibericum clade, making them unidentifiable from the latter mentioned species. Sequences identified as P. gedrosianum were placed with high support as the sister group to all other species of Potamon from Iran. P. transcaspicum was only represented by a single sequence. Despite having a wide distribution and being overrepresented in this study, P. ibericum does not show a clear population structure. The genetic distances observed within each species were highest in P. ibericum, with a 2% genetic distance (Table 2). The shortest genetic distance between sister species is 3% between P. persicum and P. ilam.
Table 1

The list of the samples used in this study.

#TaxaLocalityGenBankReference
1P. bilobatumSouthern Caspian Sea regionMG729765Parvizi et al.[12]
2P. bilobatumSouthern Caspian Sea regionMG729766Parvizi et al.[12]
3P. bilobatumSouthern Caspian Sea regionMG729767Parvizi et al.[12]
4P. elbursiMahneshan, Ghezelozan RiverHG321389Keikhosravi & Schubart[10]
5P. elbursiTehran, Darakeh, Darakeh RKF227379Keikhosravi & Schubart[10]
6P. elbursi55 km Nw Qazvin, Molali River, Trib To ShahroodKF227385Keikhosravi & Schubart[10]
7P. elbursiHableroud, SimindashtLC114291Unpublished
8P. elbursiJajroud, SaiedabadLC114292Unpublished
9P. elbursiHableroud, ZarindashtLC114293Unpublished
10P. elbursiJajroud, KkhajirLC114294Unpublished
11P. elbursiKermanshah ProvinceMZ506902This study
12P. elbursiKurdistan ProvinceMZ506903This study
13P. elbursiKurdistan ProvinceMZ506904This study
14P. elbursiGhezel Ozan River, Kurdistan ProvinceMZ506905This study
15P. elbursiIlanjuq, Ardabil ProvinceMZ506908This study
16P. elbursiIlanjuq, Ardabil ProvinceMZ506909This study
17P. elbursiIlanjuq, Ardabil ProvinceMZ506910This study
18P. elbursiKordan, Alborz ProvinceMZ506913This study
19P. elbursiKolucheh, Kermanshah ProvinceMZ506914This study
20P. elbursiSolehbon, Tehran ProvinceMZ506922This study
21P. elbursiShirin Sou, Qazvin ProvinceMZ506925This study
22P. elbursiSolehbon, Tehran ProvinceMZ506926This study
23P. gedrosianumRāsk, Sistan and Baluchestan ProvinceMZ506937This study
24P. gedrosianumRāsk, Sistan and Baluchestan ProvinceMZ506938This study
25P. gedrosianumRāsk, Sistan and Baluchestan ProvinceMZ506939This study
26P. gedrosianumRāsk, Sistan and Baluchestan ProvinceMZ506940This study
27P. gedrosianumRāsk, Sistan and Baluchestan ProvinceMZ506941This study
28P. gedrosianumRāsk, Sistan and Baluchestan ProvinceMZ506942This study
29P. ibericumGorgan, NaharkhoranKF227380Keikhosravi & Schubart[10]
30P. ibericumSouthern Caspian Sea regionMG729705Parvizi et al.[12]
ToTo
89P. ibericumSouthern Caspian Sea regionMG729764Parvizi et al.[12]
90P. ibericumSolehbon, Tehran ProvinceMZ506907This study
91P. ibericumSangetab, Mazandaran ProvinceMZ506911This study
92P. ibericumSangetab, Mazandaran ProvinceMZ506912This study
93P. ibericumĀstāne, Semnan ProvinceMZ506915This study
94P. ibericumTangrah, Golestan ProvinceMZ506916This study
95P. ibericumTarzuchu, Gilan ProvinceMZ506919This study
96P. ibericumVazesht, Gilan ProvinceMZ506920This study
97P. ibericumTarseh, Golestan ProvinceMZ506921This study
98P. ilamIlam Prv., Shirvavn And Chardavol, Chardavol RKF227381Keikhosravi & Schubart[10]
99P. ilamKhuzestan Prv., Dezfoul, Dez RiverKF227382Keikhosravi & Schubart[10]
100P. persicumHamadan ProvinceMZ506896This study
101P. persicumHamadan ProvinceMZ506897This study
102P. persicumBisotun, Kermanshah ProvinceMZ506898This study
103P. persicumBisotun, Kermanshah ProvinceMZ506899This study
104P. persicumBisotun, Kermanshah ProvinceMZ506900This study
105P. persicumKermanshah ProvinceMZ506901This study
106P. persicumIsfahan, Zayandehrood RKF227383Keikhosravi & Schubart[10]
107P. ruttneriRazavi Khorasan ProvinceMZ506906This study
108P. ruttneriAbgarm, Razavi Khorasan ProvinceMZ506917This study
109P. ruttneriAbgarm, Razavi Khorasan ProvinceMZ506918This study
110P. transcaspicumKhorasan Razavi Prv., Sabzevar, ZardkoohiKF227384Keikhosravi & Schubart[10]

GenBank stands for NCBI’s GenBank accession numbers. For the exact distribution of the samples and their GPS coordinates, see the supplementary materials.

Figure 1

The sampling map of the studied populations. Points marked with an blue pentagon represent P. ibericum, red star P. bilobatum, green circle P. elbursi, pink triangle P. persicum, light blue rectangle P. ilam, yellow asterisk P. transcaspicum, orange hexagon P. ruttneri and brown diamond P. gedrosianum. The colours used for each species correspond to the same colours used in Fig. 2. The map was created using the software ArcGIS 10.8.1.

Figure 2

Tree based on the mitochondrial barcode region of Iranian freshwater crabs. Values on nodes represent a-bayes values/bootstrap. The list of taxa is available in Supplementary Table 1. The colours used for each species correspond to the same colours used in Fig. 1.

Table 2

Estimates of average evolutionary divergence over sequence pairs between and within groups.

#Species1234567
1P. persicum0.011
2P. elbursi0.0510.010
3P. ruttnerii0.1280.1460.004
4P. ibericum0.1270.1380.1240.020
5P. gedrosianum0.1520.1530.1680.1560.001
6P. ilam0.0290.0460.1280.1240.1550.005
7P. transcaspicum0.1280.1430.1550.1410.1590.124n/c

The number of base differences per site from averaging over all sequence pairs within each group is shown in the diagonal and is marked in bold. “n/c” is shown in one case because only one sequence was available for it.

The list of the samples used in this study. GenBank stands for NCBI’s GenBank accession numbers. For the exact distribution of the samples and their GPS coordinates, see the supplementary materials. The sampling map of the studied populations. Points marked with an blue pentagon represent P. ibericum, red star P. bilobatum, green circle P. elbursi, pink triangle P. persicum, light blue rectangle P. ilam, yellow asterisk P. transcaspicum, orange hexagon P. ruttneri and brown diamond P. gedrosianum. The colours used for each species correspond to the same colours used in Fig. 2. The map was created using the software ArcGIS 10.8.1. Tree based on the mitochondrial barcode region of Iranian freshwater crabs. Values on nodes represent a-bayes values/bootstrap. The list of taxa is available in Supplementary Table 1. The colours used for each species correspond to the same colours used in Fig. 1. Estimates of average evolutionary divergence over sequence pairs between and within groups. The number of base differences per site from averaging over all sequence pairs within each group is shown in the diagonal and is marked in bold. “n/c” is shown in one case because only one sequence was available for it.

Discussion

At present, the Iranian members of the genus Potamon are represented by 9 species in the literature: P. bilobatum; P. elbursi; P. gedrosianum; P. ibericum; P. ilam; P. persicum; P. ruttneri; P. strouhali and P. transcaspicum. Based on our results, we suggest that the taxonomic status of P. bilobatum should be studied in more detail, and our study supports the synonymy of P. bilobatum with P. ibericum. As seen in Fig. 2, both nominal species are indifferent from each other in the tree. This result relies on the sequences of samples identified in other studies[12], where the paratypes of the P. bilobatum have been sequenced. Even if the COI barcode region did separate perfectly the other species studied here, a single marker might not be sufficient to confirm the taxonomy of the genus. Therefore, we believe more specific studies on the subject are needed to resolve P. bilobatum’s taxonomic status. The result of our analyses divides the samples identified as P. persicum into two independent lineages, which could be caused by the lack of resolution and support in that part of the tree. This could be improved with a higher sampling size for the populations of this species. On the other hand, the average genetic distance within all samples identified as P. persicum was comparable to the average genetic distances within P. ibericum samples. This supports the idea that the structure observed in the tree for P. persicum corresponds to population structures observable in widespread species and is probably not due to a speciation event. The interspecific and intraspecific genetic distance gap in Iranian members of the Potamon genus seems to be a value between 2 and 3% genetic distance.

Conclusions

In this study, we present the first barcode reference for different populations of potamid crabs inhabiting Iranian freshwater bodies. We evaluated the taxonomic statuses of different described species using molecular data that showed rather high genetic diversity within species. This is a first step to improve the identification of the different species for future studies using molecular techniques. Our results offer an important molecular resource for environmental and conservation studies. We believe these results are especially important these days, as eDNA approaches are becoming an important part of all conservation and biodiversity studies, and these approaches rely strongly on molecular references. Proper species identification is the basis for future studies on the ecology and conservation of these highly susceptible species to climate change.

Methods

Taxon sampling

A total of 35 specimens from 19 localities were sampled in this project, covering the main distribution range of the genus in Iran. In addition, all available barcode sequences from Iran in GenBank, a total of 75, were downloaded and included in the study (Table 1 and Supplementary Material). Other available COI sequences (eleven in total) from Iran (accession numbers LN833869-LN833879) were omitted from the study, as they corresponded mainly to the second half of the COI gene, which overlapped very shortly with the barcode region, and the rest of our dataset. These sequences were identified as P. elbursi, which is represented in our study by other better suited sequences. To root the phylogenetic tree, the barcode sequences for two other potamid species were downloaded from GenBank, Socotra pseudocardisoma (AY803585) and Johara tiomanensis (AB290644). We fixed the specimens sampled directly in absolute or 95% ethanol by injecting them into their body and covering them in jars. The diluted ethanol in the jars was changed multiple times in the first days as it absorbs the water of the samples while dehydrating and, therefore, preserving them. We observed that ethanol injection and multiple changes are crucial to obtain well-preserved DNA quality samples, as other specimens sampled not following this procedure did not amplify successfully in the majority of cases. The samples were deposited in the collections of the National Museum of Natural Sciences of Madrid (MNCN-CSIC).

DNA extraction and sequencing

Genomic DNA was extracted from a small sample (less than 2 mm in size) of muscle tissue of an ambulatory leg using the DNeasy® Blood & Tissue Kit (QIAGEN, Hilden, Germany). DNA purification was carried out using BioSprint 15 and one 5-tube strip per sample. The DNA was eluted in 200 μl of AE buffer and transferred into a 1.5 ml microtube for long-term storage. The barcode region of the cytochrome c oxidase subunit I (COI) gene was amplified using LCO1-1490/HCO1-2198 forward and reverse primers[13]. Amplification was carried out in a total volume of 12 μl per reaction (1–2 μl template DNA, 1 μl of each primer, 2.75–1.75 μl Milli-Q H2O and 6.25 μl of DreamTaq Green PCR Master Mix). After confirmation of successful amplification by electrophoresis, PCR products were purified using Exo-SAP-IT® and sequenced using an external commercial company (Macrogen, Seoul, South Korea) with the same corresponding forward and reverse primers. The obtained sequences were quality checked, trimmed and assembled in Geneious software (Geneious® 10.2.6; Biomatters http://www.geneious.com)[14]. They were aligned with MAFFT[15, 16] implemented in Geneious using the auto algorithm option. Each alignment was trimmed, manually adjusted, and visually verified to maximize positional homology, taking into account the genetic codes and the translation frames of the protein-coding gene. All the sequences have been deposited in GenBank (Table 1).

Alignment, phylogenetic inference and species delimitation

The final dataset was aligned using MAFFT implemented in Geneious and screened for sequencing errors. Such poor-quality sequencing errors were found in data downloaded from GenBank and corrected using IUPAC general degenerate nucleotide codes (ex. Gaps resulting in frameshift were replaced with Ns where possible). The maximum likelihood approach was used to construct a phylogenetic tree in IQ-Tree v 2.1.2[17]. The best partitioning scheme and substitution model were found using ModelFinder[18] as implemented in IQ-Tree (-m MFP + MERGE). For the tree reconstruction, 500 nonparametric bootstraps[19] were used to evaluate the nodal support (-b 500). To delimit species within our dataset, we used bPTP[20]. For the bPTP approach, the phylogenetic tree was analysed using the online portal (https://species.h-its.org/). The “rooted tree” and “delete outgroup” options were selected, and the number of MCMC iterations was increased to 5 * 105. All other parameters were left in default. Alignment statistics and uncorrected distance matrices were obtained using MEGA11[21]. Species delimitation statistics were obtained using the Species Delimitation plugin[22] on Geneious. Supplementary Table 1.
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1.  MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform.

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4.  Ichthyofauna From Iranian Freshwater: Annotated Checklist, Diagnosis, Taxonomy, Distribution and Conservation Assessment.

Authors:  Arash Jouladeh-Roudbar; Hamid Reza Ghanavi; Ignacio Doadrio
Journal:  Zool Stud       Date:  2020-06-29       Impact factor: 2.058

5.  MAFFT multiple sequence alignment software version 7: improvements in performance and usability.

Authors:  Kazutaka Katoh; Daron M Standley
Journal:  Mol Biol Evol       Date:  2013-01-16       Impact factor: 16.240

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7.  MEGA11: Molecular Evolutionary Genetics Analysis Version 11.

Authors:  Koichiro Tamura; Glen Stecher; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2021-06-25       Impact factor: 16.240

8.  Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data.

Authors:  Matthew Kearse; Richard Moir; Amy Wilson; Steven Stones-Havas; Matthew Cheung; Shane Sturrock; Simon Buxton; Alex Cooper; Sidney Markowitz; Chris Duran; Tobias Thierer; Bruce Ashton; Peter Meintjes; Alexei Drummond
Journal:  Bioinformatics       Date:  2012-04-27       Impact factor: 6.937

9.  A general species delimitation method with applications to phylogenetic placements.

Authors:  Jiajie Zhang; Paschalia Kapli; Pavlos Pavlidis; Alexandros Stamatakis
Journal:  Bioinformatics       Date:  2013-08-29       Impact factor: 6.937

10.  ModelFinder: fast model selection for accurate phylogenetic estimates.

Authors:  Subha Kalyaanamoorthy; Bui Quang Minh; Thomas K F Wong; Arndt von Haeseler; Lars S Jermiin
Journal:  Nat Methods       Date:  2017-05-08       Impact factor: 28.547

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