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Article

Water Mite Diversity (Acariformes: Prostigmata: Parasitengonina: Hydrachnidiae) from Karst Ecosystems in Southern of Mexico: A Barcoding Approach

El Colegio de la Frontera Sur, Department of Aquatic Ecology and Systematics, Av. Centenario Km.5.5, Chetumal, 77014 Quintana Roo, Mexico
*
Author to whom correspondence should be addressed.
Diversity 2020, 12(9), 329; https://doi.org/10.3390/d12090329
Received: 15 July 2020 / Revised: 21 August 2020 / Accepted: 21 August 2020 / Published: 29 August 2020
(This article belongs to the Special Issue Biodiversity of Mites)

Abstract

Water mites represent the most diverse and abundant group of Arachnida in freshwater ecosystems, with about 6000 species described; however, it is estimated that this number represents only 30% of the total expected species. Despite having strong biotic interactions with their community and having the potential to be exceptional bioindicators, they are frequently excluded from studies of water quality or ecology, due to actual and perceived difficulties of taxonomic identification in this group. The objective of this study is to use the variations in the sequences of the mitochondrial cytochrome oxidase subunit I (COI), also known as the DNA barcodes region, as a tool to assess the diversity of water mites at 24 sites in the Yucatan Peninsula of Mexico. We found 77 genetic groups or putative species corresponding to 18 genera: Arrenurus, Atractides, Centrolimnesia, Eylais, Geayia, Hydrodroma, Hydryphantes, Hygrobates, Koenikea, Krendowskia, Limnesia, Limnochares, Mamersellides, Mideopsis, Neumania, Piona, Torrenticola, and Unionicola. This was significant, since there are only 35 species described for this region. Furthermore, this molecular information has allowed us to infer that there are characteristic assemblies per site. These data will facilitate the incorporation of water mites in different studies while the curatorial work continues to assign a Linnaean name.
Keywords: COI; Yucatan Peninsula; assemblages; richness; Acari COI; Yucatan Peninsula; assemblages; richness; Acari

1. Introduction

Water mites belong to the Hydrachnidiae subcohort and represent the most important, abundant, and diverse group of the Arachnida in freshwater ecosystems [1,2]. There are about 6000 named species, with 1300 of them reported from the Neotropics. According to Goldschmidt [3], the neotropical water mite fauna is far from being completely described, and approximately 5440 species could reasonably be expected in this area.
Mexico is a mega-diversity country due to its position in a transition region between the Nearctic and Neotropical zones and its complex physiography [4]. As a result, it is the country in the world with the second highest number of ecosystems and the fourth in terms of biodiversity [4]. In relation to aquatic environments, we know only a small fraction of their biological diversity. Regarding water mites, 317 species have been described and some reported here in the last 40 years [5]. Only 35 were from the Yucatán Peninsula that comprises three Mexican states (Quintana Roo, Yucatan, and Campeche) [6,7,8].
The Yucatan region includes one of the world’s largest karstic aquifers and that represents a mosaic of different geochemistry and hydrogeologic properties on its water ecosystems [9,10]. For example, the Cenote Azul, located in the southern part of the Yucatan Peninsula (18.647 N and 88.412 W, Datum WGS84), is a unique extreme environment, characterized by a high sulfate and strontium content water [10]. Lake Bacalar, also located in the south, hosts the largest living freshwater microbialites in the world [11,12] and has a rich mite fauna, which is still unknown [13].
According to Cook (1980), we were far from knowing all the local water mite diversity in the neotropics, and this situation has not improved significantly over the last 40 years. Other authors have observed that neotropical water mite fauna shows regional diversification, and a high degree of richness and endemism should be expected in this region [1,3].
The taxonomy of water mites is difficult, and systematics is constantly subject to changes [14,15,16], first, due to the complex life cycle composed of three active stages: parasitic larva, depredatory deutonymph, and adult and three resting stages, namely prelarva, protonymph, and tritonymph, plus the egg [2]. Some groups, such as adults arrenurids, also present a strong sexual dimorphism, where males and females are completely different morphologically. In other cases, this dimorphism is visible in the modification of the legs IV for males. Finally, the diagnostic characteristics, such as setaes, coxal groups, acetabular plate, glandularias, or palps are difficult to identify without taxonomic training. Due to these challenges, many synonyms, cryptic species, subspecies, and “forms” with questionable identity exist in the literature [6,14,17].
The application of molecular biology techniques adds new characters to taxonomy. A particular region of the mitochondrial COI (cytochrome c oxidase I) gene, one of the groups known as DNA barcode region, is the most common sequence used in water mite taxonomy research. Public databases, including the Barcode of Life Database (www.boldsystems.org) or GenBank (www.ncbi.nlm.nih.gov), and the use of new bioinformatic tools represent a breakthrough in species identification [18,19]. On the other hand, these molecular data allow us to understand, from another perspective, not only the identity of species, but also ecological relationships that exist between these animals. It is also another important character for new species descriptions [20,21] that can solve problems related to cryptic species complexes [14,15], and matching of different development stages from eggs to adult males and females despite their morphological differences [16,21,22,23,24].
Additionally, DNA barcoding and the BOLD database (boldsystems.org) can be used to obtain a preliminary approximation of distribution patterns, species assemblages, richness, and diversity among other analysis [25]. The Barcode Index Number (BIN) is a fast-computational algorithm based on differences of the COI fragment. It is a unique Operational Taxonomic Unit (OTU) that highlights a putative species, assigning an exclusive code composed of alphanumeric characters [26]. The BIN system provides information about specimens with their associated metadata (taxonomy, distribution, images, sequences, collector, identifier, and institution where the voucher/specimens is deposited) [26]. This system has been used with success in diverse invertebrate surveys, biodiversity assessments, and species delimitation [13,25,27,28]. Currently there are 77,666 Trombidiformes records in the database where Hydrachnidia is a subcohort.
The aim of this study was to assess water mite diversity in different water bodies from the Center to the Southern Yucatan Peninsula, using DNA barcoding and the subsequent BIN representing each OTU, and their correspondence with identified morphotaxa, as the main approach.

2. Materials and Methods

2.1. Collection of Samples

Data were mined from both BOLD corresponding to previous published studies by the authors [13,23] and unpublished data from a last sampling survey carried out in April and August corresponding to the dry and rainy seasons. By the end, all data represented 24 sites (Table 1) from Yucatan Peninsula (PY), Mexico (Figure 1 and Figure 2). All the samples were collected according to the methods in earlier studies [23], with the exception of two systems: Acapulquito and Palmar, where the collection was carried out by using manual nets with a mesh of 100 µm.

2.2. Specimen Preparational Analysis

In the laboratory, the fixed samples were viewed under a stereo microscope, and water mites were removed from each one. Representatives of each morphologically distinct group were separated and stored in 5 mL vials with 4 mL of 96° ethanol. All the water mites were identified to genus, using published keys [2,14,28]. All mites were photographed in a stereo microscope Zeizz Stereo Discovery with an Eos Rebel T3i camera.

2.3. DNA Extraction and Amplification

Whenever it was possible, five individuals of each genus were selected for genetic analysis. The whole water mite specimens were placed into 96-well plates, and DNA extraction was carried out by using a standard glass fiber method [29]. After the DNA extraction, the vouchers were recovered and preserved in Koenike’s solution for future curatorial labor and deposited in the Reference Collection at El Colegio de la Frontera Sur, Unidad Chetumal (ECOCH-Z-10339-10364).
The PCR mixtures contained a final volume of 14 µL and were prepared as follows: 2 μL of Hyclone ultra-pure water, 6.25 μL of 10% trehalose (previously prepared: 5 g D-(+)-trehalose dehydrate, in 50 mL of total volume of molecular grade ddH2O), 1.25 μL of 10X PCR buffer, 0.625 μL of MgCl2 (50 mM), 0.0625 μL of dNTP (10 mM), 0.125 μL of each primer (10 μM), 0.06 μL of Platinum Taq DNA polymerase, and 3 μL of DNA template. All specimens were amplified with the zooplankton primers (ZplankF1_tl and ZplankR1_tl). The reactions were cycled at 94 °C for 1 min, followed by five cycles of 94 °C for 40 s, 45 °C for 40 s, and 72 °C for 1 min, followed by 35 cycles of 94 °C for 40 s, 51 °C for 40 s, and 72 °C for 1 min, with a final extension of 72 °C for 5 min. PCR products were visualized on 2% agarose gel (E-Gel 96 Invitrogen); finally, positive PCR products were selected for sequencing.
PCR products were sequenced, using a modified BigDye © Terminator v. 3.1 Cycle Sequencing Kit (Applied Biosystems, Inc., Foster City, CA, USA), and sequenced bidirectionally on an ABI 3730 capillary sequencer at Eurofins Scientific. Sequences were edited by using Codon Code v.3.0.1 (CodonCode Corporation, Dedham, MA, USA). Sequence data, trace files, collection data, and primer details for all specimens are available within the public dataset DS-YUCWM through the public data portal of the Barcode of Life Data Systems (www.boldsystems.org) and in GenBank (www.ncbi.nlm.nih.gov).

2.4. Sequencing and Data Analysis

All sequences that met minimal quality standards (≥500 bp, without ambiguous bases or stop codons) were assigned to a BIN [19,26]. These BINs are considered putative species or OTUs [13].
The analysis of all sequences with a BIN assignment was conducted by using MEGA v.6. We constructed Neighbor Joining trees for the most families with large numbers of BINs (Arrenuridae, Limnesiidae, Unionicolidae, and Hygrobatidae). The simplified trees were prepared by using Figtree v1 4.4.
A Jaccard index and a dendrogram were calculated with Excel software, to assess beta diversity and the similarity of water mites’ BINs among the 24 locations.

3. Results

A total of 607 water mite sequences representing 77 BINs were obtained. These corresponded to 13 families: Anisitsiellidae, Arrenuridae, Eylaidae, Hydrodromidae, Hydryphantidae, Hygrobatidae, Krendowskiidae, Limnesiidae, Limnocharidae, Mideopsidae, Pionidae, Torrenticolidae, and Unionicolidae.
The number of BINs per site varied from one at Cueva de las serpientes to 21 at Cenote Cocalitos (Table 1).
We observed a correspondence between the BINs and the morphospecies for all the mite specimens. In Figure 3, we can see the correspondence between BINs and representatives of the Krendowskiidae family and Limnesia genera. In most cases, we matched molecularly and morphologically each BIN to a genus level, except for the following 15 that could only be assigned to families: Torrenticolidae, Limnesiidae, Hygrobatidae, Pionidae, Unionicolidae, and Eylaidae; and three BINs pertaining to Trombidiformes (Table 2).

3.1. Water Mite BINs Richness

Unionicolidae was the most diverse and abundant family, with 20 BINs and 230 sequences distributed among three genera, which were identified as Unionicola, Koenikea, and Neumania, and unidentified specimens. Fifty percent of the BINs of this family appear to have a restricted distribution inhabiting only one locality, while the other half was found in two to eight localities as Koenikea with the BIN ADI3114 (Figure 4 and Table 2).
The Arrenuridae was the second most diverse family, with 123 sequences and 17 BINs. All of them belonged to the genus Arrenurus. For nine BINs from this group, it was possible to correlate males and females and nymphs for three of them (Figure 5. Most of the BINs apparently inhabit only one location, and only three of them seem to have a wide distribution: ACX8463, ACX8464, and ACY6809 (Figure 6 and Table 2).
The Hygrobatidae and Limnesiidae families each had a moderate number of BINs. Hygrobatidae was represented by 48 sequences corresponding to eight BINs; two of them could be identified to genera Hygrobates and Atractides, and two more BINs could be identified only to family. Most of the Hygrobatidae occur only in one or two localities (Figure 7 and Table 2).
The Limnesiidae are represented by 68 sequences and six BINs, with four of them identified as Limnesia, one Centrolimnesia, and one unidentified genus. More than 80% of the limnesiids occurred in in two or more localities (Figure 8 and Table 2).
Other, less diverse families were the Limnocharidae, represented by nine sequences and four BINs, all of them Limnochares. Each BIN was found in a single locality, except for ACY6840, which was found in three close systems: Cenote Azul, Cenote Cocalitos, and North Bacalar Lake. Mideopsidae was represented by 36 sequences clustering in four BINs, with three of them from Mideopsis and the other one identified only at the family level; Mideopsis BIN ACX8679 seems to have a wide distribution, as it was found in ten localities (Table 2).
Pionidae and Eylaidae were composed of three BINs and were each represented by one genus, Piona and Eylais, respectively; however, in both families, there were BINs with no genus assignment. In the case of Eylaidae, each BIN inhabited one system, while Piona ACX8296 was found in eight localities (Table 2).
Krendowskiidae was represented by two genera, Geayia and Krendowskia, with 32 sequences and two BINs (Figure 3). Krendowskia ACX8435 was widely distributed. Hydrodromidae was represented by one BIN and 22 sequences belonging to Hydrodroma genus. This OTU is widely distributed in eight systems in the sampled area, and all the morphotypes corresponded with one putative species.
Hydryphantidae was a singleton of the genus Hydryphantes. Finally, there were five sequences represented by three BINs that belonged to the order Trombidiformes. These individuals were nymphs, which are not included in any taxonomic keys. They cannot be further identified until an adult can be sequenced, as for Arrenurus specimens (Figure 5).
From the 77 BINs, 51 were sequenced for the first time and appear as unique in the BOLD database (Table 2). Only four BINs had a wide distribution, from Neotropical Mexico to Eastern– Central Canada. These are the Unionicola ADP1665, Arrenurus ACL2418, Geayia ACT6195, and Piona ACX8296.

3.2. BIN Assemblies in the PY

From the total, 58 BINs were present in one or a maximum of three localities, possibly forming unique species assemblages (Table 1 and Table 2). The Jaccard index value, in general, for all the localities, was zero or extremely low. However, some systems shared a percentage of their water mite fauna composition as follows: Chichancanab lagoon and Cenote El Padre (44%), Chichancanab lagoon and Cenote Km 48 (44%), Cenote El Toro and Cenote Santa Teresa (33%), Cenote Tres Reyes II and Cenote El Toro (33%), and Cenote Cocalitos and Cenote Escuela Normal (43%). The two latter are important because they are two different water systems inside the Bacalar Lagoon. Despite having such spatial relationship, each system seemed to have a different composition of water mites (Figure 9 and Figure A1, Appendix A).

4. Discussion

For the first time, a general analysis of the potential richness of water mite fauna in the central–southern part of the Yucatan Peninsula (Mexico), based on DNA barcodes was completed. Our results indicate an 11-fold increase in the number of species found previously in Quintana Roo state and twice the number of species registered in all the PY (in the three states, namely Campeche, Quintana Roo, and Yucatan) [6,7,8]. Out of 77 BINs, 58 are new in BOLD and seem to have a restricted distribution. This result indicates the presence of a unique set of environmental conditions and a particular water mite fauna composition of which most likely could be undescribed taxa. We need to study mite fauna in a wider geographic region to support this point; however, we have seen that most species are not widely distributed in our study area.
In the case of Hydrodroma, our results indicate the presence of only one morphospecies in eight sampling sites and has a proper correspondence with the unique BIN ADF3732. Previous research identified two species in the PY, H. peregrina Cook, 1980, and H. despiciens Marshall, 1936. However, for both species, Cook (1980) noticed distinctions from the type specimen. A recent study, using integrative taxonomy [30], compared sequences with the specimens collected from the Cenote Azul (Mexico) (Hydrodroma ADF3732), and the authors concluded that it was not H. despiciens [30] and probably not H. peregrina, due to the differences noticed by Cook [6]. Consequently, Hydrodroma BIN ADF3732 is probably a new species that needs to be formally described and is likely endemic to Southern Mexico.
Similarly, in the case of Unionicolidae, we registered 18 BINs (Figure 4 and Table 2). Previous records include ten species for the PY. Three of them correspond to descriptions of Koenikea indistincta Marshall, 1936; Koenikea neopectinifera Cook, 1980; and Neumania cenotea Marshall, 1936. All of them were apparently restricted to this region. The rest are described from other localities in Mexico or different regions. For example, Unionicola gracilipalpis tenuis Cook, 1980, was recorded in Campeche, Michigan, and Canada, but the type locality is in Haiti. Nevertheless, U. gracilipalpis was originally described from Europe. It is possible that this subspecies could be a full species, but we need to compare the type material to reach such a conclusion. Unionicola (Pentatax) furculopsis Cook, 1980, was described from Oaxaca state, but it was found in the Cenote Azul and Bacalar Lagoon by Otero-Colina [7]. Nevertheless, he noticed a similarity with U. furcula (Lundblad, 1935) and described some characteristics that the type species did not have, such as denticles in the gnathosoma base. These differences could be critical to identifying a different species, but more detailed research is required. Neumania (Neumania) diversipalpa Cook, 1980, was originally described from a single male in a river in Chiapas, based on an adult female, was recorded in the Cenote Azul by Otero-Colina [7]. The match male–female should be made from the same locality or at least after DNA barcodes have been obtained.
These are some examples of the taxonomic uncertainties that exist for water mites from the PY; however, our goal was not to discuss all previous identifications. These are just examples of the taxonomic impediment that still exists about “subspecies”, “forms”, and species recorded far away from the type locality or in an extremely different habitat from the original site. Some studies have revealed that species previously considered to be cosmopolitan are not really [30]. Many of them could be actually new species or species complexes. We consider that at least 15 OTUs of the Unionicolidae recognized by different BINs are possible new species.
Likewise, for Arrenuridae, there are seven species reported from the PY [8], six Arrenurus from the subgenus Megaluracarus, and one from the subgenus Arrenurus. Most of these reports are from Campeche and only one from Quintana Roo and Yucatan. We found 17 putative species of Arrenurus (Table 2 and Figure 6). Only three of these 17 BINs appear in multiple locations. The remaining 14 were found in only one or two close sampling sites (Table 2). After a comparison with the 135 BINs of arrenurids currently in BOLD, 94% of the BINs that we found appear juts in the south of Mexico. Other studies have previously documented the endemism of this family in other regions of the world [31,32,33]; however, this cannot be verified until a detailed morphological review of the specimens is made.
Another important achievement of this study is the pairing of males and females in nine BINs of this group that exhibit a high sexual dimorphism. Pairing the nymphal state in another three BINs will also allow us to make more complete formal descriptions if this species turns out to be undescribed (Figure 5).
The Hygrobatidae were the third richest group that we found (Table 2 and Figure 7). These are the first records for the PY. They were common in some locations (personal observation) that were previously surveyed [6,7]. This family seemed to be rare in the 1980s, when the previous studies took place. Some authors [2,34,35] suggest that several members of this family, Hygrobates included, are indicators of pollution and environmentally stressed water bodies. They were found in places like Cenote Cocalitos, Palmar, and Cenote Azul, with strong development of tourism (Table 1 and Table 2). However, we must clarify the identity and habitat preferences of the species found in order to conclude if they indicate some level of environmental degradation. They may just be adapted to the extreme conditions of these places due to the presence of carbonates [10]. Nevertheless, previous surveys overlooked them.
The uniqueness of each aquatic system is clearly supported by the low values of the Jaccard index between the localities (Figure 9 and Appendix A Figure A1). For example, Cenote Azul and Cenote Cocalitos (Figure 1 and Figure 2) are two localities with a distance of 160 m, but their similarity index is only 0.13 (Figure 9). This supports previous studies that found a difference in water quality and absence of communication between Cenote Azul and Bacalar [10]. Of the 14 BINS found in Cenote Azul and 21 found in Cocalitos, they only share four: Limnochares ACY6840, Hydrodroma ADF3732, Unionicola ACX8034, and Arrenurus ACX8463. These two systems have been extensively sampled, and their differences are also reflected in the composition of their planktonic communities [13,23]. Related studies have found that water mite assemblages are partially explained by environmental parameters such as temperature, conductivity, or pH and can almost be predicted by the potential prey groups, mainly cladocerans, copepods, and chironomids [36].
The PY ecosystems are characterized for being a mosaic of multiple habitats, with extreme differences in hydrogeochemistry conditions [9,10,12]. Their unique configuration that is structured after faults, underground and surface intermittent connections, and sinkholes (the most common surface water systems) suggests that they could be isolated. Therefore, they exhibit a distinctive diversity. Additionally, the distribution of water mites is known to be influenced by the substrate, type of vegetation, water flow, and depth. For example, El Palmar and Acapulquito present microhabitats with slow flow current combined with pools and submerged vegetation. As a result, we found a mixture of taxa with lotic environment preferences as Torrenticola and species with lentic preferences as Arrenurus or Unionicola [2].
Evidently there are still several unanswered questions in terms of the diversity of water mites in the PY. For example, are there specific assemblies for microhabitats? What causes differences in abundance between species? What are the phylogenetic relationships between them, or how is their evolutive history in the PY? Finally, we consider this analysis as a preliminary step toward the formal description of all the species that we found, including morphological details of the vouchers, in order to assign them a Linnaean name; once this step has been carried out, many of our hypotheses about restricted distributions and new endemic species could be fully tested.

Author Contributions

Conceptualization, L.M.-O. and M.E.-G.; methodology, M.E.-G.; software, L.M.-O.; validation, M.E.-G.; formal analysis, L.M.-O.; investigation, L.M.-O.; resources, M.E.-G.; data curation, L.M.-O.; writing—original draft preparation, L.M.-O.; writing—review and editing, M.E.-G. and L.M.-O.; visualization, L.M.-O. and M.E.-G.; supervision, M.E.-G.; project administration, M.E.-G.; funding acquisition, M.E.-G. All authors have read and agreed to the published version of the manuscript.

Funding

This study is a result of the PhD thesis of Lucia Montes Ortiz, at El Colegio de la Frontera Sur, supported by a scholarship by the National Council of Science and Technology (CONACYT). Some of the results presented here were obtained from the Project financed by Global Environment Fund through the Programa de Naciones Unidas para el Desarrollo (PNUD México), Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO) and Comisión Nacional de Áreas Naturales Protegidas (CONANP): Programa de detección temprana piloto de especies acuáticas invasoras a través de los métodos de código de barras de la vida y análisis de ADN ambiental en la Reserva de la Biosfera Sian Ka’an. Proyecto 00089333 “Aumentar las capacidades de México para manejar especies exóticas invasoras a través de la implementación de la Estrategia Nacional de Especies Invasoras” conducted by Martha Valdez-Moreno.

Acknowledgments

We thank Tom Goldschmidt for the support on morphological identifications, Alexei and Iurthitsi Elías Valdéz, and Jonas Goldschmidt for the field assistance, and all the team that worked in the Project 000089333, in particular Martha Valdez Moreno, José Angel Cohuo Colli, Adrian Emmanuel Uh Navarrete, Ivan Canul Palma, and Georgina Alexandra Prisco Pastrana. Alma Estrella García Morales from the Mexican Barcode of Life (MEXBOL), node Chetumal assisted with DNA extraction, PCR reactions, and sequence edition of all material presented here. Isaac Farraz Montes assisted with the map presented here, and Humberto Bahena provided the pictures from Cenote Azul, Cenote Cocalitos, Bacalar, and the Microbialites. Brianna Jacobson kindly performed a style review on the manuscript. ME-G wants to recall about the lack of interest of the Mexican Government on Biodiversity studies in a country that is the fourth place in the world. It’s always been the same, but recently it’s been worst. We will continue training human resources in this area as a commitment to Mexico and our planet.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Appendix A

Figure A1. Matrix of Jaccard index values for all pairs of sampled locations, based on water mite BINs. AC = Acapulquito, PAL = Palmar, CAZ = Cenote Azul, COC = Cenote Cocalitos, CEN = Cenote Escuela Normal, BAN = Bacalar Norte, CP1 = Cenote Pucte 1, CP2 = Cenote Pucte 2, CT = Cenote El Toro, RAM = Ramonal, CSN = Cenote Sijil Noh Ha, CCV = Cenote Chancah Veracruz, CP = Cenote del Padre, MIC = Minicetonte, CR1 = Cenote Tres Reyes 1, CR2 = Cenote Tres Reyes 2, CST = Cenote Santa Teresa, CHI = Chichancanab, CS = Cueva de las serpientes, K48 = Cenote Km.48, CH1 = Chunyaxche 1, CH2 = Chunyaxche 2, MU1 = Muyil 1, and MU2 = Muyil 2.
Figure A1. Matrix of Jaccard index values for all pairs of sampled locations, based on water mite BINs. AC = Acapulquito, PAL = Palmar, CAZ = Cenote Azul, COC = Cenote Cocalitos, CEN = Cenote Escuela Normal, BAN = Bacalar Norte, CP1 = Cenote Pucte 1, CP2 = Cenote Pucte 2, CT = Cenote El Toro, RAM = Ramonal, CSN = Cenote Sijil Noh Ha, CCV = Cenote Chancah Veracruz, CP = Cenote del Padre, MIC = Minicetonte, CR1 = Cenote Tres Reyes 1, CR2 = Cenote Tres Reyes 2, CST = Cenote Santa Teresa, CHI = Chichancanab, CS = Cueva de las serpientes, K48 = Cenote Km.48, CH1 = Chunyaxche 1, CH2 = Chunyaxche 2, MU1 = Muyil 1, and MU2 = Muyil 2.
Diversity 12 00329 g0a1

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Figure 1. Location of the studied karstic systems. Names and coordinates for each site are in Table 1.
Figure 1. Location of the studied karstic systems. Names and coordinates for each site are in Table 1.
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Figure 2. Examples of some sampled localities: (a) Cenote Azul, (b) Cenote Cocalitos, (c) Bacalar lake, and (d) large microbialites from Bacalar lake. Photos taken by ©HBahena/ECOSUR.
Figure 2. Examples of some sampled localities: (a) Cenote Azul, (b) Cenote Cocalitos, (c) Bacalar lake, and (d) large microbialites from Bacalar lake. Photos taken by ©HBahena/ECOSUR.
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Figure 3. Members of Krendowskiidae family and Limnesia genus. (A,B) Lateral and ventral view of Geayia BIN ACT6195; (C,D) Dorsal and ventral view of Krendowskia BIN ACX8435; (E,F) dorsal and ventral view of Limnesia BIN ACY7380; and (G,H) dorsal and ventral view of Limnesia BIN AEA5595.
Figure 3. Members of Krendowskiidae family and Limnesia genus. (A,B) Lateral and ventral view of Geayia BIN ACT6195; (C,D) Dorsal and ventral view of Krendowskia BIN ACX8435; (E,F) dorsal and ventral view of Limnesia BIN ACY7380; and (G,H) dorsal and ventral view of Limnesia BIN AEA5595.
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Figure 4. Neighbor Joining (NJ) tree for Unionicolidae family.
Figure 4. Neighbor Joining (NJ) tree for Unionicolidae family.
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Figure 5. Arrenurus sp. BIN ACX8463: (A,B) dorsal and ventral view of male, (C,D) dorsal and ventral view of female, and (E,F) dorsal and ventral view of nymph.
Figure 5. Arrenurus sp. BIN ACX8463: (A,B) dorsal and ventral view of male, (C,D) dorsal and ventral view of female, and (E,F) dorsal and ventral view of nymph.
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Figure 6. NJ tree for Arrenuridae family.
Figure 6. NJ tree for Arrenuridae family.
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Figure 7. NJ tree for Hygrobatidae family.
Figure 7. NJ tree for Hygrobatidae family.
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Figure 8. NJ tree for Limnesiidae family.
Figure 8. NJ tree for Limnesiidae family.
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Figure 9. Similarity in water mites’ composition between locations. Numbers in front of location name are the same as in Table 1.
Figure 9. Similarity in water mites’ composition between locations. Numbers in front of location name are the same as in Table 1.
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Table 1. Collection locations and Barcode Index Numbers (BINs) associated.
Table 1. Collection locations and Barcode Index Numbers (BINs) associated.
NumberSiteLat NLong WBINs
1Acapulquito18.432188.531211
2El palmar18.4407−88.52736
3Cenote Azul18.651−88.409814
4Cenote Cocalitos18.652−88.40821
5Cenote Escuela Normal18.651−88.4099
6North Bacalar Lake18.9176−88.17114
7Cenote Pucte 119.079−87.99411
8Cenote Pucte 219.091−87.9949
9Cenote el Toro19.098−88.0212
10Ramonal19.3921−88.624210
11Cenote Sijil Noh Ha19.475−88.0523
12Cenote Chancah Veracruz19.486−87.9884
13Cenote del Padre19.604−88.0036
14Minicenote19.607−87.9892
15Cenote Tres Reyes 119.668−87.8813
16Cenote Tres Reyes 219.692−87.8776
17Santa Teresa19.723−87.8132
18Chichancanab19.924−88.77087
19Cueva de las serpientes19.93−88.8061
20Cenote km 4819.943−87.7946
21Chunyaxche Lagoon 120.042−87.5813
22Chunyaxche Lagoon 220.06−87.57612
23Muyil Lagoon 120.069−87.5948
24Muyil Lagoon 220.075−87.6074
Table 2. Summary of taxa identified, BIN, and location.
Table 2. Summary of taxa identified, BIN, and location.
FamilyGeneraBINLocation
LimnocharidaeLimnocharesADI4862 *3
AEA4515 *14
AEB4511 *24
ACY68403, 6, 4
HydrodromidaeHydrodromaADF3732 *3, 4, 23, 6, 18, 2, 20, 8.
HydryphantidaeHydryphantesAEA5005 *3
TorrenticolidaeTorrenticolaAEA7372 *1
Unknown generaAEA4395 *1
LimnesiidaeLimnesiaAEA5595 *13, 6, 18, 7, 12.
AEA6471 *10
ACX77595,4
ACY738019, 5, 22, 4, 2, 6
CentrolimnesiaAEA3914 *9, 8, 16, 17
Unknown generaAEA4382 *16, 9
KrendowskiidaeKrendowskiaACX843520, 13, 5, 16, 24, 18, 6, 4
GeayiaACT61951
MideopsidaeMideopsisAEA6512 *1
ACX867920, 13, 18, 5, 4, 24, 11, 23, 22, 8.
ACY71697, 4, 22, 5.
Unknown generaAEB4633 *12
HygrobatidaeHygrobatesAEA3689 *1
AEA3690 *2
AEA3924 *1, 2
ACX78873, 18
ADO70986
AtractidesACX77865, 4
Unknown generaAEA4089 *23
AEA5236 *21, 22, 23
PionidaePionaAEB1670 *6
ACX829613, 12, 3, 6, 4, 23, 24, 7.
Unknown generaAEA4809 *22
UnionicolidaeUnionicolaACX8035 *4
AEB4634 *8
ACX80345, 4, 3, 7, 8, 14
ACX90084, 5, 6
ADM793621, 22, 23, 3
ADP16654, 7, 22, 6
KoenikeaADI2928 *3
ACY73844, 5, 22
ADI31142, 22, 6, 20, 3, 18, 8, 1.
NeumaniaAEA8101 *20, 7, 10
AEA5358 *10
ACY68296, 4
Unknown generaAEA4829 *22, 8, 16
AEA6062 *23, 22.
AEA6668 *16
AEA7951 *16
AEB1594 *8
ACY73814
AEA3726 *7
AEA4514 *1
EylaidaeEylaisADD9174 *4
Unknown generaAEA4696 *15
AEA5669 *15
ArrenuridaeArrenurusACX8462 *4
ACX8780 *4, 2, 1
ADI3752 *3
AEA3972 *10
AEA7182 *7, 20
AEA784210
AEA7843 *10
AEA7844 *1
AEA8234 *10
ACL24184
ACX84636, 4, 18, 23, 3, 12, 11, 13.
ACX84644, 3, 13, 10, 6, 18.
ACX87885
ACY68097, 4, 21, 22, 24, 4,3
AEB70951
ADI4458 *3
AEA4828 *17
AnisitsiellidaeMamersellidesAEA6955 *10
AEA6956 *10
UnknownAEA4343 *11
AEA3823 *15
AEB18988
Localities are the same as Table 1. * Unique BINs in the Barcode of Life Database (BOLD) system.
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