Skip to main content
Advertisement
  • Loading metrics

Complexity of schistosome vector bulinine snails in Kenya: Insights from nuclear genome size variation, complete mitochondrial genome sequence, and morphometric analysis

  • Si-Ming Zhang ,

    Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing

    zhangsm@unm.edu

    Affiliation Center for Evolutionary and Theoretical Immunology, Department of Biology, University of New Mexico, Albuquerque, New Mexico, United States of America

  • Coen M. Adema,

    Roles Investigation, Methodology, Writing – review & editing

    Affiliation Center for Evolutionary and Theoretical Immunology, Department of Biology, University of New Mexico, Albuquerque, New Mexico, United States of America

  • Mohamed R. Habib,

    Roles Investigation, Methodology, Writing – review & editing

    Affiliation Medical Malacology Department, Theodor Bilharz Research Institute, Giza, Egypt

  • Abdelmalek Lekired,

    Roles Investigation, Methodology, Writing – review & editing

    Affiliation Center for Evolutionary and Theoretical Immunology, Department of Biology, University of New Mexico, Albuquerque, New Mexico, United States of America

  • Marijan Posavi,

    Roles Investigation, Methodology, Writing – review & editing

    Affiliation Center for Evolutionary and Theoretical Immunology, Department of Biology, University of New Mexico, Albuquerque, New Mexico, United States of America

  • Martina R. Laidemitt,

    Roles Investigation, Writing – review & editing

    Affiliation Center for Evolutionary and Theoretical Immunology, Department of Biology, University of New Mexico, Albuquerque, New Mexico, United States of America

  • Geoffrey M. Maina,

    Roles Investigation, Writing – review & editing

    Affiliation Centre for Biotechnology Research and Development, Kenya Medical Research Institute, Nairobi, Kenya

  • Ibrahim N. Mwangi,

    Roles Investigation, Writing – review & editing

    Affiliation Centre for Biotechnology Research and Development, Kenya Medical Research Institute, Nairobi, Kenya

  • Joseph M. Kinuthia,

    Roles Investigation, Writing – review & editing

    Affiliation Centre for Biotechnology Research and Development, Kenya Medical Research Institute, Nairobi, Kenya

  • Martin W. Mutuku,

    Roles Investigation, Writing – review & editing

    Affiliation Centre for Biotechnology Research and Development, Kenya Medical Research Institute, Nairobi, Kenya

  • Eric S. Loker

    Roles Funding acquisition, Investigation, Resources, Writing – review & editing

    Affiliation Center for Evolutionary and Theoretical Immunology, Department of Biology, University of New Mexico, Albuquerque, New Mexico, United States of America

Abstract

Investigations of nuclear genome size, complete mitochondrial genome (mitogenome) sequence, and morphometrics were conducted on specimens of Bulinus snails (Gastropoda: Planorbidae) collected from 14 locations across the east coast, central Kenya, and western Kenya around the Lake Victoria region (November 2013 and January 2024). Flow cytometry measurements of DNA content (C-value) revealed unexpected variation in nuclear genome size, with diploid Bulinus africanus and B. forskalii species groups showing C-values ranging from 0.76 to 1.98 pg, while tetraploid B. truncatus had a C-value of 1.82 pg. Additionally, C-values for six B. globosus specimens from different localities ranged from 1.43 to 1.98 pg. These findings suggest that bulinine snails, particularly the B. africanus species group, have undergone genome expansion, whole genome duplication (polyploidization), or both, which have not been previously recognized. Next-generation sequencing was performed to determine and annotate 14 complete mitogenome sequences. Despite the well-conserved arrangement of protein-coding genes, two versions of mtDNA genome structure, distinguished by the tRNA-D (Asp) location, were found, designated as DCF (Asp-Cys-Phe) type (in the B. forskalii group and the B. truncatus/tropicus complex) and CF (Cys-Phe) type (in the B. africanus group). Phylogenetic analyses based on complete mtDNA sequences of bulinines from Kenya, along with cytochrome c oxidase subunit I (COX1) sequences from various localities across Africa, contributed to resolving species identities and provided further support for the presence of multiple or cryptic species in the taxon B. globosus. A landmark-based morphometric analysis was ineffective in distinguishing these species. This study reveals unexpected nuclear genome size variation, provides new mitogenome sequences, and highlights the limitations of morphological analysis. It offers valuable insights into the cytogenetics, polyploidy, genomics, taxonomy, and evolution of bulinines, which serve as intermediate hosts for schistosomes responsible for human urogenital schistosomiasis and intestinal schistosomiasis in domestic and wild mammals.

Author summary

Freshwater snails of the genus Bulinus play a crucial role in supporting the larval development of schistosomes and other trematode parasites responsible for significant diseases in humans and animals in Africa; yet knowledge of their genetics and genomics remains limited. Considerable contradictions exist regarding species identification and classification. Focusing on bulinine specimens from Kenya, we employed flow cytometry, next-generation sequencing, and morphometrics for a simultaneous investigation, making the data comparable and informative. This study uncovers unexpected genome size variation, suggests the presence of unrecognized genome expansion and/or whole genome duplication (polyploidization), provides new mitogenome data, clarifies phylogenetic relationships, illuminates genome evolution, highlights the limitations of morphological analysis, and raises questions about the cytogenetics and classification of the genus Bulinus.

Introduction

Freshwater gastropod snails of the genus Bulinus Müller (1781) (family: Planorbidae) are the most medically important molluscan species in Africa [1]. These snails play an essential role in transmitting parasites that cause disease in humans and animals, serving as obligate intermediate hosts for the trematode parasite Schistosoma haematobium, the causative agent of urogenital schistosomiasis. Urogenital schistosomiasis accounts for over two-thirds of all schistosomiasis cases in Africa, which is home to approximately 90% of global cases [25]. In addition to S. haematobium, Bulinus snails also transmits other schistosomes, including S. intercalatum and S. guineensis, which cause intestinal schistosomiasis in humans, although they are less prevalent [6]. Furthermore, these snails serve as vectors for S. bovis, S. curassoni, and S. mattheei [7,8], as well as for other trematode species, particularly amphistomes [9,10], which infect livestock. Additionally, some schistosomes and their hybrids, such as S. mattheei, transmitted by bulinines, are the causative agents of zoonotic schistosomiasis [8,11,12]. Their predominance and diversification on the African continent also pose interesting biogeographical and evolutionary questions.

Accurate identification of bulinine snails is crucial for understanding schistosomiasis transmission. Historically, identification has relied primarily on morphological characteristics, supplemented by cytogenetic analysis and biochemical assays, such as protein electrophoresis. While a few species, such as B. umbilicatus, can be identified reliably using conchological features [6], there are no definitive morphological traits that clearly distinguish most Bulinus species from one another [13]. The number of bulinine species has fluctuated from more than 120 in early works cited by Wright (1971) [14] to 20 species recognized by Mandahl-Barth (1957) [15], and now to the 37 currently acknowledged, as described by Brown (1994) [6]. These 37 species are categorized into three groups and one complex: the B. africanus group (10 species), the B. forskalii group (11 species), the B. reticulatus group (2 species), and the B. truncatus/tropicus complex (14 species) [6]. For convenience, we refer to them hereafter as the africanus, forskalii, reticulatus, and truncatus/tropicus species groups in this paper.

Early cytogenetic studies suggested that the first three groups consist solely of diploids (2n = 2 x 18), while the latter includes both diploids and polyploids (4n, 6n, and 8n) [6]. Recent molecular studies focusing on species identification, population genetics, and phylogenetics have utilized partial mitochondrial DNA (mtDNA) sequences, such as cytochrome c oxidase subunit I (COX1) and nuclear ribosomal DNA (rDNA) segments, like internal transcribed spacer (ITS) [1624]. These studies have provided valuable insights into a broad range of bulinine species across considerable geographic areas, enabled the assembly of near genus-wide phylogenies, and highlighted persistent questions regarding the presence of still-unresolved species groups and inconsistencies between morphological and molecular data. Genomic data are more informative but remain limited [2528].

In this study, we conducted an integrative analysis of bulinine snails collected from diverse geographical localities across Kenya, including major schistosomiasis-endemic areas. By combining nuclear genome size estimation, complete mitochondrial genome sequencing, and detailed morphometric profiling, we provide novel insights into the cytogenetics, polyploidy, genomics, taxonomy, and evolution of bulinine snails in Africa.

Materials and methods

Ethics statement

The collections were approved by the National Commission for Science, Technology, and Innovation (permit numbers P/15/9609/4270 and P/21/9648), the National Environmental Management Authority (permit numbers NEMA/AGR/46/2014 and NEMA/AGR/149/2021), and the Kenya Wildlife Service (permit numbers KWS 0004754 and KWS-0045-03-21).

Snail collection

The snails for this study were collected in November 2013 and January 2024. Snails in shallow water were collected using long handheld scoops, while a metal dredger was used to collect aquatic plants from deeper waters of Lake Victoria. The snails attached to the aquatic grass were then separated and collected. In each location, the global positioning system (GPS) coordinates were recorded, and photographs of the habitat were taken. Live snails were shipped to the University of New Mexico (UNM) and maintained at the UNM Center for Evolutionary and Theoretical Immunology (CETI). The specimens were assigned temporal codes based on geographical location, but the final species determination for each specimen was based on phylogenetic analyses of mtDNA sequences (see Results section below).

Flow cytometric analysis of DNA content

DNA measurements were conducted at two different times: first in May 2022 for samples collected in November 2013 and second in April 2024 for samples collected in January 2024. For both measurements, propidium iodide-based flow cytometry was employed. The procedure and experimental design for the two measurements were the same, as described by Bu et al. (2023) [29]. In the first experiment, we used the garden plant hosta (Hosta plantaginea) (Praying Hands’ 2-2-2) as a control [29]. In the second experiment, we used the pea (Pisum sativum) (seed resource: Gene Bank Dept., CRI Prague-Ruzyne ACCENUMB: 09L010500; Pisum sativum subsp. sativum ACCENAME: Ctirad; ORIGCTY: Czechoslovakia) since the garden plant hosta was unavailable. The DNA content of the pea is 9.02 picograms (pg) (2C DNA content or diploid genome DNA) [30]. To ensure the reliability of the data, the DNA content of the genetically stable homozygous iM line Biomphalaria glabrata developed at UNM [31] was measured in both experiments (see details in the Results section).

DNA extraction, library preparation, and sequencing

The procedures for DNA extraction, quality control, library preparation, and sequencing to generate Illumina 150 bp x 2 paired-end reads and PacBio HiFi CCS reads (high-fidelity circular consensus sequencing) were outlined by Zhang et al. (2024) [32] and Bu et al. (2023) [29], respectively.

Assembly of mitogenomes

Raw reads were trimmed with Trimmomatic v0.39 to remove low-quality bases and adapter sequences [33]. Four methods were used to assemble the mitogenome from Illumina data: (1) a semi-reference-based assembly with MITOBIM 1.9.1 using an iterative baiting approach [34], (2) de novo assembly with NOVOPlasty using a seed-and-extend algorithm [35], (3) reference-guided de novo assembly with the specialized toolkit GetOrganelle [36], which employs a baiting and iterative mapping approach, and (4) de novo assembly using SPAdes 3.15.1 [37]. If an inconsistency at a particular nucleotide position was found, although very rare, the determination of the nucleotide was based on the majority consensus of the alignments, supported by verifying a functional reading frame. For mitochondrial genome assembly from HiFi reads, we employed the MitoHifi pipeline [38], which is well-suited for long reads with high coverage. HiFi reads were mapped to the reference mitogenome of B. truncatus (NC_060795.1) using Minimap2 [39]. The filtered reads were assembled with Hifiasm [40], and the resulting contigs were subjected to BLAST against the reference mitogenome. The final assembly was determined using the four datasets, with additional corrections made based on alignments and annotations.

Annotation of mitogenomes

Initial mitogenome assemblies were annotated using MITOS2 with RefSeq 63 Metazoa as a reference [41] available from Galaxy Europe [42]. The computational annotation results were used to check the completeness of the mitogenome assemblies. Missing and incomplete gene predictions (including some tRNAs) were corrected manually. Final annotation followed the criteria from Fourdrilis et al. (2018) [43] and Ghiselli et al. (2021) [44], incorporating unique aspects of mitogenome biology, including transcription as polycistronic RNA, the tRNA punctuation model (delimitation of reading frames by tRNA genes or secondary structures), and the completion of stop codons by polyadenylation of mRNA transcripts, as outlined by Zhang et al. (2022) [26]. Mitogenome maps were visualized using SnapGene software (viewer v.7.2.1) (www.snapgene.com).

Phylogenetic analyses of mitogenome and COX1 gene sequences

Complete mitochondrial DNA sequences (14,297 bp) and mitochondrial cytochrome c oxidase subunit I (COX1) gene sequences (611 bp) were aligned using MUSCLE [45] as performed in Molecular Evolutionary Genetics Analysis (MEGA X) [46]. The COX1 sequences analyzed corresponded to the standard DNA barcoding region of the gene [47]. Phylogenetic analyses included sequences from multiple Bulinus species, with Biomphalaria glabrata (iM-line) used as an outgroup. For the COX1 analysis, taxa included both reported sequences from GenBank and newly generated sequences from this study. The best-fit nucleotide substitution models were selected using the Bayesian Information Criterion (BIC) implemented in MEGA X: T92 + G + I for COX1 [48] and GTR + G + I for complete mtDNA [49]. Maximum Likelihood (ML) phylogenetic trees were constructed in MEGA X using the identified best-fit models, with branch support assessed using 1,000 bootstrap replicates [50]. Trees are presented as phylograms with branch lengths proportional to evolutionary distance.

Morphometric analysis

Shell morphometric analysis was conducted using a landmark-based approach by orienting each shell with the aperture facing the observer (Fig 1). Eleven linear shell measurements were recorded using a digital caliper (0.01 mm precision). The measurements included shell length (L), shell width (W), aperture height (A), aperture width (WA), whorl spacing (WS), diagonal shell width (WD), body whorl height above the aperture (LH), and whorl height (WH). Raw measurements were compiled into structured Excel spreadsheets, and seven morphometric ratios were derived to quantify shell proportions: shell elongation (L/W), aperture proportions (A/L), spire development ((L-A)/L), body whorl expansion (LH/L), relative aperture width (WA/WS), diagonal whorl expansion (WD/W), and sutural spacing (WH/L).

thumbnail
Fig 1. Schematic representation of snail shell morphometrics.

The abbreviations are provided in the Materials and Methods section.

https://doi.org/10.1371/journal.pntd.0013305.g001

Data preprocessing, taxonomic grouping, and descriptive statistics (mean ± SD) were performed in RStudio (version 2023.12.0 + 369) using the tidyverse package [51]. To investigate multivariate morphological patterns, Principal Component Analysis (PCA) was implemented via FactoMineR [52], with variance contributions from principal components reported. Pairwise relationships between shell variables were visualized using bivariate plots generated with ggplot2 [53] and RColorBrewer [54].

Results

Snail sampling in Kenya

In two samplings conducted 10 years apart (November 2013 and January 2024), 14 localities were sampled, as shown in Fig 2. For convenience, each locality was assigned a code corresponding to its operational taxonomic group, as detailed in Fig 2 and Table 1. Please note that not all specimens were available for all three analyses (nuclear genome size, mitogenome, and morphometrics) due to limitations in specimen availability.

thumbnail
Table 1. DNA content (C-value) and relevant information of the analyzed samples in this study.

https://doi.org/10.1371/journal.pntd.0013305.t001

thumbnail
Fig 2. Geographical localities and natural habitats of snails collected in Kenya.

The approximate localities are indicated. Detailed information for each locality (GPS) and its corresponding code is provided in Table 1. The photos in this figure were taken by the authors.

https://doi.org/10.1371/journal.pntd.0013305.g002

Flow cytometric analysis of nuclear DNA contents

For each code, three snails were individually measured using flow cytometry. A total of 16 coded samples were analyzed, including 14 from the genus Bulinus, representing three bulinine groups: B. africanus, B. forskalii, and B. truncatus/tropicus, along with 2 from the genus Biomphalaria (Table 1). Three specimens of Biomphalaria reported by Bu et al. (2023) [29] were included to add perspective to the analysis. All DNA contents presented in this study pertain to the C-value, which refers to the amount of DNA in a haploid cell. Table 1 presents the C-values of individual snails and their averages. Fig 3 displays the average C-values of snails from the africanus, forskalii, and truncatus/tropicus groups, as well as Biomphalaria spp. The smallest genome was 0.76 pg from B. forskalii (BuF3), while the highest DNA content, 1.98 pg, was observed in a specimen of B. globosus (BuG2), with similar amounts noted in B. truncatus (BuT19: 1.82 pg) and two other B. globosus specimens (BuG5L: 1.86 pg; BuG5: 1.88 pg). The DNA contents of a UNM-maintained homozygous iM line of Bi. glabrata [31] from this study (code: BiG24) (Table 1) and the same line previously measured and reported (BiG25) [29] were consistent (1.11 pg vs. 1.09 pg: p = 0.58). Moreover, two field-collected B. globosus samples (BuG5L and BuG5) from the same geographical locality (Asao, Kisumu), taken 10 years apart and measured at different times, yielded consistent results (1.88 pg vs. 1.86 pg: p = 0.80) (Table 1). These findings support the reliability of the data presented in this study.

thumbnail
Fig 3. Genome sizes (C-value) of Bulinus and Biomphalaria snails.

Detailed information for the codes is provided in Table 1. Codes Bi25, Bi26, and Bi27 represent the iM line Bi. glabrata (10.9 pg), BB02 Bi. glabrata (1.02 pg), and Bi. pfeifferi (0.91 pg), respectively, as reported by Bu et al. (2023) [29]. All samples of B. globosus are enclosed by dotted lines.

https://doi.org/10.1371/journal.pntd.0013305.g003

Determination of complete mitogenome sequences and structure

Complete mitochondrial genomes (mitogenomes) from 14 bulinine specimens were sequenced, assembled, and annotated (S1 Table). The list of specimen codes and their GenBank accession numbers (in parentheses) is as follows: BuU4 (PV483366), BuU7 (PV483367), BuN6 (PV483368), BuN15 (PV483369), BuG1 (PV483370), BuG2 (PV483371), BuG5L (PV483372), BuG12 (PV483373), BuG13 (PV483374), BuF3 (PV483375), BuF16 (PV483376), BuTp7A (PV4833677), BuTp11 (PV483378), and BuTp14 (PV483379). The species and locality corresponding to the specimen codes are listed in Table 1.

Each mitogenome consists of 37 genes, including 13 protein-coding genes (PCGs), 22 transfer RNA (tRNA) genes, and 2 ribosomal RNA (rRNA) genes. The arrangement and order of the PCGs are consistent across all mitogenome sequences determined in bulinines, including those published previously [26]. A difference was observed in the location of tRNA-D (tRNA-Asp), dividing the 14 mitogenomes into two types: DCF (Asp-Cys-Phe) and CF (Cys-Phe). The distinction between the two types lies in the location of D; in the CF type, D is positioned downstream of the mitogenome between Y and W (YDWGHQL), whereas in the DCF type, DCF are grouped together. All species of the africanus group belong to the CF type, while species of the forskalii and truncatus/tropicus groups belong to the DCF type (S1 Data).

Phylogenetic analyses of mitogenome sequences

A total of 20 complete bulinine mitogenome sequences, including six from a previous report [26], were phylogenetically analyzed (Fig 4). The africanus and truncatus/tropicus species groups appear to cluster together. Two B. forskalii mitogenomes represent the first complete mitogenome sequences from the forskalii species group and cluster with the other two groups. Phylogenetic analysis of mitochondrial COX1 gene sequences supports the topology of the complete mtDNA tree (Fig 5). In the africanus group, B. globosus is more closely related to B. ugandae than to B. nasutus in both mitogenome and COX1 analyses. The phylogenetic analyses indicate that specimen BuTp7A, collected from deep water in Lake Victoria, is B. tropicus (see Discussion below). The divergence between B. truncatus and B. tropicus appears significant, although their morphology and size are very similar.

thumbnail
Fig 4. Maximum Likelihood phylogram of complete mitochondrial genome sequences in Bulinus snails.

The tree is presented as a phylogram with branch lengths proportional to evolutionary distance (scale bar = 0.05 substitutions per site). Phylogenetic relationships were inferred using the GTR + G + I substitution model with 1,000 bootstrap replicates implemented in MEGA X [46]. A total of 21 complete mitogenome sequences (14,297 bp) were analyzed: 14 from the current study (BuF3, BuF16, BuTp7A, BuTp11, BuTp14, BuN6, BuN15, BuU4, BuU7, BuG1, BuG2, BuG5L, BuG12, and BuG13) and 7 published sequences, including 6 from Zhang et al. [26] and Biomphalaria glabrata (iM-line; MG431965.1) used as an outgroup. The tree demonstrates the phylogenetic relationships among major Bulinus species groups: the africanus group (including B. globosus, B. ugandae, and B. nasutus), the truncatus/tropicus complex, the forskalii group, and the reticulatus group. Branch lengths reflect the degree of evolutionary divergence between taxa.

https://doi.org/10.1371/journal.pntd.0013305.g004

thumbnail
Fig 5. Maximum Likelihood phylogram of the mitochondrial COX1 gene in Bulinus snails from Africa.

The tree is presented as a phylogram with branch lengths proportional to evolutionary distance (scale bar = 0.05 substitutions per site). Phylogenetic relationships were inferred using the T92 + G + I substitution model with 1,000 bootstrap replicates implemented in MEGA X [46]. The analysis included 67 COX1 sequences (611 bp): 14 newly generated sequences from this study (indicated by specimen codes with GenBank accession numbers in parentheses) and 53 published sequences from GenBank representing several African Bulinus species and geographic localities. B. glabrata (iM-line; MG431965.1) was used as an outgroup.

https://doi.org/10.1371/journal.pntd.0013305.g005

Morphometric analysis

Morphometric analysis revealed substantial challenges in distinguishing among Bulinus species. As shown in Fig 6, visual examination of shells did not reliably differentiate the species, especially within a given species group. Further analyses of various shell morphometrics (S2 and S3 Tables) indicated that, despite statistically significant ANOVA differences across all groups (all p < 0.01; S4 Table), only the forskalii group (e.g., B. forskalii) was clearly separated from the africanus and truncatus/tropicus groups in PCA analysis (PC1: 40.1% variance; Fig 7A). The latter two groups exhibited significant overlap (Fig 7B), even after excluding B. forskalii (PC1: 56.6%, PC2: 16.8%). Within the truncatus/tropicus group, tetraploid B. truncatus and diploid B. tropicus could not be distinguished morphologically (Fig 7B and S3 Table). Similarly, within the africanus group, species such as B. globosus, B. ugandae, and B. nasutus overlapped in shell dimensions (L, W, A) and aperture characteristics (WA, WS) (S1 and S2 Figs). Additionally, B. globosus specimens from different localities showed no clear morphological differentiation (S3 Table), with overlapping distributions in bivariate plots (S1 and S2 Figs).

thumbnail
Fig 6. Shell morphology of bulinine specimens.

Details about the specimen codes, species, and their localities are provided in Table 1. The photograph was taken by S-MZ.

https://doi.org/10.1371/journal.pntd.0013305.g006

thumbnail
Fig 7. Principal component analysis (PCA) of shell morphometric variables for Bulinus species.

(A) PCA plot including all Bulinus groups, showing the first two principal components that explain 40.8% and 38.7% of the total variance, respectively. (B) PCA plot excluding B. forskalii (BuF3), with the first two principal components explaining 57.3% and 15.4% of the total variance, respectively. Shapes represent different Bulinus groups, with symbol colors corresponding to taxonomic groups (africanus, forskalii, and truncatus/tropicus).

https://doi.org/10.1371/journal.pntd.0013305.g007

Discussion

Unexpected variation in nuclear genome sizes

In the family Planorbidae, which includes Bulinus and Biomphalaria [6], the basic chromosome number is n = 18 [55]. Biomphalaria snails are diploid, as confirmed by cytogenetic studies, DNA content analysis, and whole genome sequencing [29,31,5659]. Some authorities consider Bulinus snails to be in a separate family, the Buliniade, along with Indoplanorbis and a few other genera [60]. Indoplanorbis is also known to contain a haploid number of 18 chromosomes [61]. In Bulinus, chromosome numbers and instances of polyploidy were determined through chromosome counting conducted in the 1960s and 1970s [e.g., 6265]. These studies provided invaluable information for understanding the cytogenetics of Bulinus snails but were not without limitations [64]. Due to technical constraints at that time and the challenges of collecting, transporting, and maintaining live snails, specimens collected in the field were preserved in chemical fixatives (e.g., Carnoy’s solution) and transported to the laboratory for cytogenetic analyses. These chromosome numbers were established from meiotic figures at the diakinesis stage of gonadal tissue (ovotestes). Karyotype analysis based on somatic metaphase chromosomes, which requires tissues or organs from live snails, was performed in the 1980s on only three bulinine species, B. truncatus, B. tropicus, and B. natalensis [56,66,67].

Given the challenge of obtaining somatic metaphase chromosome numbers or conducting karyotype studies, DNA content analysis is a viable option, particularly for polyploid species. Generally, within a closely related group of species, there is a correlation between chromosome number and genome size or DNA content [68,69]. Relative DNA contents among closely related species provide useful indications of ploidy levels and changes in genome sizes. The first effort to measure nuclear DNA content, focusing on three Bulinus species groups: africanus, forskalii, and truncatus/tropicus was performed using flow cytometry and presented in this study. The smallest genome size was found in B. forskalii, where all species in the forskalii group are diploid. Among the representatives of the truncatus/tropicus group we examined, in concordance with cytological studies [6264], two general types of genome sizes were observed, with interspecific and intraspecific variation: tetraploid B. truncatus had significantly more DNA content than diploid B. tropicus. B. truncatus, including a strain from the type locality in Egypt maintained at the Biomedical Research Institute (BRI: www.afbr-bri.org) for decades, has been confirmed to have a total of 72 chromosomes by multiple cytogenetic studies [56,65,7072], serving as a reliable reference for genetic and genomic studies in Bulinus snails.

An unexpected finding was noted in the B. africanus group, particularly for the taxon B. globosus, which is increasingly recognized as a likely species complex [22,24,26]. All species assayed in this group, including B. globosus, B. ugandae, and B. nasutus, are believed to be diploid [6]. However, the variation in DNA content (1.33 to 1.98 pg) is notably high, similar to that of the truncatus/tropicus group (1.03-1.82 pg), which contains both diploid (B. tropicus) and tetraploid (B. truncatus) species. The DNA content of B. globosus ranges from 1.43 to 1.98 pg, with the highest value (1.98 pg) slightly exceeding that of tetraploid B. truncatus (1.82 pg). The C-values of two B. globosus samples from western Kenya (BuG2: 1.98 pg; BuG5L: 1.86 pg) are higher than the C-value of B. globosus from the eastern coastal Kinango dam (BuG1: 1.43 pg) and the central regions, Kwa Katiwa dam (BuG12: 1.50 pg) and Eldoro in Taveta (BuG13: 1.36 pg). The high variability in genome size within the africanus group, particularly among different specimens of B. globosus, suggests dynamic genomic variation and adds further support to the hypothesis that B. globosus may comprise multiple or cryptic species [22,26].

B. ugandae (1.33-1.46 pg) and B. nasutus (1.41 pg) have a small range variation in genome size, but their genome sizes are larger than those of diploid species such as Biomphalaria spp. (0.91-1.11 pg) or B. forskalii (0.76 pg) and B. tropicus (1.03-1.32 pg), while being smaller than that of the tetraploid B. truncatus (1.82 pg). Notably, with the exception of Bulinus forskalii, the genome sizes of known diploid Bulinus snails are larger and more variable than those of the measured Biomphalaria species (Fig 2), despite both sharing the same basal chromosome number of n = 18, characteristic of the family Planorbidae [55]. Early-diverging South American representatives of Biomphalaria [73] are as yet unknown with respect to genome size and variability. With the evidence currently in hand, some representatives of Bulinus have subsequently undergone processes (genome expansion and/or whole genome duplication) that have resulted in much greater variability in genome size, including puzzling variations among species generally considered diploid.

Genome expansion and whole genome duplication (polyploidization)

The profound genome size variation uncovered in the current study suggests that bulinine snails, particularly the africanus group, have undergone genome expansion, whole genome duplication (polyploidization), or both processes.

Genome expansion or variation in genome size without changes in ploidy levels has been documented in many eukaryotes [74], including shrimp of the genus Synalpheus [75,76], flour beetles of the genus Tribolium [77], the fruit fly Drosophila [78], and the rotifer Brachionus plicatilis [79]. The genome size of B. globosus is comparable to that of the tetraploid B. truncatus, and significantly higher than that of recognized diploid species such as B. forskalii, B. tropicus, and Biomphalaria spp. If the B. africanus group species are indeed true diploids, they must have undergone significant genome expansion (i.e., increased chromosome sizes without changing chromosome numbers). Furthermore, given the known genome sizes of three species of Biomphalaria (Bi. glabrata, Bi. pfeifferi, and Bi. sudanica) and B. forskalii, it appears that most diploid bulinines have undergone some degree of genome expansion, while B. forskalii may have experienced slight genome depletion.

Polyploidization resulting from whole genome duplication has been found in animals, including the New Zealand snail Potamopyrgus antipodarum [8082]. In bulinine snails, it has been documented only in the truncatus/tropicus group, where tetraploidy, hexaploidy, and octoploidy have been recorded [6]. Our genome size data imply that the africanus group may possess triploid and tetraploid forms, assuming that homologous chromosome sizes are conserved across the family Planorbidae. Triploidy has not been reported for any Bulinus species, while tetraploidy has only been found in the truncatus/tropicus group. Although early cytogenetic studies indicate that there are no polyploids in the africanus group [6], a recent population genetics study suggests that polyploidy may be present in B. globosus, a taxon from the africanus group, in Kenyan populations [24]. To clarify these intriguing questions, further investigations are needed to analyze nuclear DNA content and/or somatic chromosomes in various populations, particularly within the B. globosus species complex.

Polyploidy can influence an organism’s phenotypes, including its refractoriness to parasites. Increased allelic diversity may enable hosts to recognize a broader range of parasites [8385]. Alternatively, the combination of subgenomes from different species may alter gene expression, also affecting the degree of parasite resistance [8689]. Triploid P. antipodarum have greater resistance to allopatric parasites than diploids, suggesting the advantages of increased ploidy for hosts facing coevolving parasites [83]. In bulinines, the host-trematode (including schistosomes) systems are highly complex; several trematode species, including multiple schistosome parasites, as described in the Introduction section, employ bulinines as hosts. For the human parasite S. haematobium, some bulinine species or ecotypes are susceptible, while others are not [6,90]. The role of genome duplication and expansion in influencing infection outcomes presents a compelling question in evolutionary biology and schistosomiasis transmission.

The origin of polyploidy in Bulinus remains unknown. Diploid and tetraploid species from the B. truncatus/tropicus complex are widely distributed across Africa, while hexaploid and octoploid forms are confined to the highlands of Ethiopia [65]. In Kenya, diploids and tetraploids, but no hexaploids or octoploids, have been found in the highlands [1,70]. The tetraploid B. permembranacea found in the Kenyan highlands is morphologically different from B. truncatus found in other regions, suggesting at least two independent origins of tetraploidy in Africa [70]. Our findings add further complexity to the understanding of bulinine snails in Africa. Using a comparative karyotype approach, Goldman et al. (1983) hypothesized a hybrid origin for tetraploid B. truncatus [67]. Modern genomic technologies, such as subgenome analysis that have been applied in other polyploid organisms [9194], may yield valuable insights into the origin of polyploidy in bulinines.

Conservation and variation of complete mitogenomes

Our study adds 14 new complete and annotated bulinine mitogenome sequences to public databases, bringing the total to 20 complete and annotated bulinine mitogenome sequences available to date [26]. We demonstrate that the protein-coding genes (PCGs) of all bulinine mitogenomes are well conserved. However, a difference was noted in the location of tRNA-D, which divides the Bulinus snails we sampled into two types: DCF and CF, as noted in our previous study [26]. In terms of gene organization, the sampled members of the forskalii and truncatus/tropicus groups share the same structure, referred to as the DCF type, while the africanus group exhibits the CF type. This difference results from the open reading frame (ORF) of the ND4 gene terminating with an incomplete stop codon (T--) followed by an inverted repeat (TAACAGAATTCTGTTA), forming a hairpin structure at the 3’ end of the transcript in the DCF group. The forskalii and truncatus/tropicus groups are more closely related to each other than to the africanus group from a mitogenome structure perspective.

Implications for phylogenetic analyses

The availability of twenty Bulinus and six Biomphalaria mitogenomes [26, 95, this study] provides valuable genetic markers for population genetics and phylogenetic analyses. This enables a more comprehensive investigation of mitogenome evolution in schistosomiasis-transmitting planorbid snails, which are responsible for most global schistosomiasis transmission. Our full-length mtDNA tree indicated that the B. forskalii group is more closely related to the B. truncatus/tropicus complex than to the B. africanus group (Figs 4 and 8A), aligning with the pattern revealed by mitogenome structure (see above). This relationship, despite the exclusion of the B. reticulatus group, differs from patterns revealed by COX1 and ITS (Fig 8B and 8C) [16,17,19,20,23,96100]. Our COX1 tree also indicated that species from the B. africanus group cluster with species from the B. truncatus/ tropicus group (Figs 5 and 8B) [16,17,20,97,98,100], which is different from the finding that the B. forskalii and B. truncatus/tropicus are more closely related to each other than to the B. africanus group (Fig 8C) [19,23,99]. These variable patterns among the species groups within Bulinus suggest that establishing species concepts in Bulinus requires more evidence. Employing whole genome sequencing, rather than focusing on a few loci, may provide a more robust pattern of relationships.

thumbnail
Fig 8. A summary of the relationship patterns among bulinine species groups based on the current study and published papers.

References for each type of relationship (A, B, and C) are provided. The species studied from the B. reticulatus group is normally B. wright, as there are only two species (B. reticulatus and B. wright) in this group.

https://doi.org/10.1371/journal.pntd.0013305.g008

The phylogenetic analyses also support the complexity of the taxon B. globosus as revealed by nuclear genome size variation in this study and previous mtDNA analyses [22,24,26]. It also helps clarify ambiguous species. The specimen BuTp7A, found in the deep waters of Lake Victoria, is much smaller than B. tropicus but similar in size to B. truncatus. Morphometric analysis cannot easily differentiate the two species. In Lake Victoria, three species with type localities in the lake are present: B. ugandae (2n = 36), B. transversalis (2n = 72), and B. trigonus (2n: unknown) [6]; however, our phylogenetic analysis indicates that BuTp7A is closer to B. tropicus than to these three species. This is surprising, as B. tropicus has been commonly found elsewhere but not in deep waters. Furthermore, the DNA content of BuTp7A (1.32 pg) is higher than that of B. tropicus (BuTp14; 1.03 pg), collected from Lake Jipe, but smaller than that of tetraploid B. truncatus (1.82 pg). These findings suggest a complex relationship within the B. truncatus/tropicus group, which includes diploid, tetraploid, hexaploid, octoploid, and possibly other polyploids such as triploids.

Limitations of morphometric analysis

Among the four species groups, the forskalii group is easily identified due to its distinct long shell shape. Differentiating between B. forskalii and B. senegalensis, both from the forskalii group using morphometric analysis, is feasible, mainly due to the different whorl shapes in these species [101]. The challenge lies with the remaining africanus and truncatus/tropicus groups, which consist of 24 species and play a crucial role in schistosomiasis transmission. Similar difficulties in differentiating B. africanus group species using shell morphology alone have been reported [102]. Nevertheless, caution is warranted in morphological analysis, as misidentifications from morphological data can lead to misinformation in molecular data in public databases. It is critical to integrate molecular data for reliable species identification, particularly within taxonomically challenging groups where shell morphology exhibits high variability or overlap among species.

Bulinine species and species identification

In bulinine snails, high morphological variation, the lack of clear conchological characteristics, and the existence of ecotypes and intermediate forms between species make accurate species identification highly challenging. Early cytogenetic work relied on meiotic figures of the ovotestis and requires verification through DNA content and somatic chromosome analysis. While these snails are polyploid, it remains uncertain whether polyploidy can serve as a criterion for species distinction, given that B. permembranaceus (4n), B. hexaploidus (6n), and B. octoploidus (8n)—the polyploid complex found in Ethiopia—were primarily named based on their polyploid characteristics [6,65]. It is common for a single species to exhibit multiple ploidy levels [103]. For example, the New Zealand mud snail P. antipodarum has diploid, triploid, and tetraploid forms; yet, they all belong to one species [8082]. The freshwater fish Misgurnus anguillicaudatus has diploid, triploid, tetraploid, pentaploid, and hexaploid forms in natural populations [104]. It seems that ploidy level may not be a reliable characteristic for species identification. At the molecular level, protein electrophoresis was previously employed to assist in species identification. For example, the primary evidence for the distinct species B. browni and B. hightoni from Kenya was established by protein electrophoretic patterns [6,105,106]. However, caution should be exercised regarding protein expression patterns, as they are controlled by gene regulation, which is highly influenced by ecosystems, environments, and developmental stages. For molecular markers such as proteins and mtDNAs, which have been commonly used, it is unclear what level of genetic differentiation can be considered species level. Furthermore, it is uncertain which molecular marker—mtDNA or nuclear marker—is best to use, given the discordance found between nuclear and mitochondrial genes (mitonuclear discordance) in many species [107110]. Although these issues are being addressed, defining species remains a challenge, especially since they exhibit hermaphroditism. A combined study of datasets from the nuclear genome, mitochondrial genome, and morphology, as shown in this study, revealed unexpected findings and raised unanswered questions, further highlighting the complexity of bulinine snails in Africa. More comprehensive investigations from various biological perspectives, utilizing modern technologies such as genomics and AI-assisted 3D analysis, while considering specimens from type localities, are necessary to address these complex questions.

Conclusion

We measured nuclear DNA content, determined complete mitogenomes, and analyzed morphometric data of bulinine snails from three Bulinus species groups collected across various localities in Kenya. We uncovered significant variation in DNA content among bulinine specimens, suggesting genome expansion, whole genome duplication (polyploidization), or both in the B. africanus group—phenomena that were previously unrecognized, with the mechanisms still unknown. Adding 14 new complete mitogenome sequences enhances our understanding of comparative mitogenomics and provides valuable resources for studies in taxonomy, evolution, population genetics, phylogenetics, and epidemiology. Both genome size and mitogenome analyses indicate that B. globosus may comprise multiple or cryptic species (i.e., the B. globosus species complex). Our findings confirmed that morphometric data alone are inadequate for reliably identifying Bulinus species, reiterating the need for molecular approaches in bulinine identification. This study also raises significant questions about defining and identifying bulinine species as well as the relationships among species groups within the genus Bulinus. Analyzing all three types of data simultaneously highlights the complexity of bulinine snails, not only in Kenya but also across the African continent. Further studies are needed to focus on these important yet understudied species, which may enhance our understanding of bulinine biology and disease transmission.

Supporting information

S1 Table. Annotation of 14 complete mitogenomes.

https://doi.org/10.1371/journal.pntd.0013305.s001

(XLSX)

S2 Table. Raw shell morphometric measurements (mm) and derived ratios.

https://doi.org/10.1371/journal.pntd.0013305.s002

(XLSX)

S3 Table. Mean ± standard deviation (SD) of shell morphometric parameters and ratios.

https://doi.org/10.1371/journal.pntd.0013305.s003

(XLSX)

S4 Table. ANOVA results for shell morphometric variables.

https://doi.org/10.1371/journal.pntd.0013305.s004

(XLSX)

S1 Fig. Bivariate relationships of shell morphometric variables among Bulinus species.

https://doi.org/10.1371/journal.pntd.0013305.s005

(TIFF)

S2 Fig. Bivariate relationships of shell morphometric variables among Bulinus species after excluding B. forskalii.

https://doi.org/10.1371/journal.pntd.0013305.s006

(TIFF)

S1 Data. Map and SnapGene file of 14 bulinine mitogenomes.

https://doi.org/10.1371/journal.pntd.0013305.s007

(ZIP)

Acknowledgments

We thank the UNM Center for Advanced Research Computing (CARC), supported in part by the National Science Foundation, for providing the high-performance computing and large-scale storage resources used in this research. Bulinus truncatus, originating from Egypt, was provided by the NIAID Schistosomiasis Resource Center of the Biomedical Research Institute (Rockville, MD) through NIH-NIAID Contract HHSN272201700014I.

References

  1. 1. Brown DS, Shaw KM. Freshwater Snails Of The Bulinus Truncatus/tropicus Complex In Kenya: Tetraploid Species. J Mollus Stud. 1989;55(4):509–32.
  2. 2. van der Werf MJ, de Vlas SJ, Brooker S, Looman CWN, Nagelkerke NJD, Habbema JDF, et al. Quantification of clinical morbidity associated with schistosome infection in sub-Saharan Africa. Acta Trop. 2003;86(2–3):125–39. pmid:12745133
  3. 3. Hotez PJ, Kamath A. Neglected tropical diseases in sub-saharan Africa: review of their prevalence, distribution, and disease burden. PLoS Negl Trop Dis. 2009;3(8):e412. pmid:19707588
  4. 4. Adenowo AF, Oyinloye BE, Ogunyinka BI, Kappo AP. Impact of human schistosomiasis in sub-Saharan Africa. Braz J Infect Dis. 2015;19(2):196–205. pmid:25636189
  5. 5. Phillips AE, Gazzinelli-Guimarães PH, Aurelio HO, Dhanani N, Ferro J, Nala R, et al. Urogenital schistosomiasis in Cabo Delgado, northern Mozambique: baseline findings from the SCORE study. Parasit Vectors. 2018;11(1):30. pmid:29316983
  6. 6. Brown DS. Freshwater snails of Africa and their medical importance. Second ed. London: Taylor & Francis Ltd. 1994.
  7. 7. Aula OP, McManus DP, Jones MK, Gordon CA. Schistosomiasis with a Focus on Africa. Trop Med Infect Dis. 2021;6(3):109. pmid:34206495
  8. 8. Stothard JR, Juhász A, Musaya J. Schistosoma mattheei and zoonotic schistosomiasis. Trends Parasitol. 2025;41(2):87–90. pmid:39765449
  9. 9. Laidemitt MR, Zawadzki ET, Brant SV, Mutuku MW, Mkoji GM, Loker ES. Loads of trematodes: discovering hidden diversity of paramphistomoids in Kenyan ruminants. Parasitology. 2017;144(2):131–47. pmid:27762185
  10. 10. Pfukenyi DM, Mukaratirwa S. Amphistome infections in domestic and wild ruminants in East and Southern Africa: A review. Onderstepoort J Vet Res. 2018;85(1):e1–13. pmid:30456960
  11. 11. Borlase A, Rudge JW, Léger E, Diouf ND, Fall CB, Diop SD, et al. Spillover, hybridization, and persistence in schistosome transmission dynamics at the human-animal interface. Proc Natl Acad Sci U S A. 2021;118(41):e2110711118. pmid:34615712
  12. 12. Kayuni S, Cunningham L, Mainga B, Kumwenda D, Jnr DL, Chammudzi P, et al. Detection of male genital schistosomiasis (MGS) associated with human, zoonotic and hybrid schistosomes in Southern Malawi. BMC Infect Dis. 2024;24(1):839. pmid:39160482
  13. 13. Berrie AD. Snail problems in African schistosomiasis. Adv Parasitol. 1970;8:43–96. pmid:4997516
  14. 14. Wright CA. Bulinus on Aldabra and the subfamily Bulininae in the Indian Ocean area. Phil Trans R Soc Lond B. 1971;260(836):299–313.
  15. 15. Mandahl-barth G. Intermediate hosts of schistosoma: African Biomphalaria and Bulinus. II. Bull World Health Organ. 1957;17(1):1–65. pmid:13479773
  16. 16. Kane RA, Stothard JR, Emery AM, Rollinson D. Molecular characterization of freshwater snails in the genus Bulinus: a role for barcodes?. Parasit Vectors. 2008;1(1):15. pmid:18544153
  17. 17. Zein-Eddine R, Djuikwo-Teukeng FF, Al-Jawhari M, Senghor B, Huyse T, Dreyfuss G. Phylogeny of seven Bulinus species originating from endemic areas in three African countries, in relation to the human blood fluke Schistosoma haematobium. BMC Evol Biol. 2014;14(1).
  18. 18. Allan F, Sousa-Figueiredo JC, Emery AM, Paulo R, Mirante C, Sebastião A, et al. Mapping freshwater snails in north-western Angola: distribution, identity and molecular diversity of medically important taxa. Parasit Vectors. 2017;10(1):460. pmid:29017583
  19. 19. Tumwebaze I, Clewing C, Dusabe MC, Tumusiime J, Kagoro-Rugunda G, Hammoud C, et al. Molecular identification of Bulinus spp. intermediate host snails of Schistosoma spp. in crater lakes of western Uganda with implications for the transmission of the Schistosoma haematobium group parasites. Parasit Vectors. 2019;12(1):565. pmid:31775865
  20. 20. Chibwana FD, Tumwebaze I, Mahulu A, Sands AF, Albrecht C. Assessing the diversity and distribution of potential intermediate hosts snails for urogenital schistosomiasis: Bulinus spp. (Gastropoda: Planorbidae) of Lake Victoria. Parasit Vectors. 2020;13(1):418. pmid:32795373
  21. 21. Agola EL, Mwangi IN, Maina GM, Kinuthia JM, Mutuku MW. Transmission sites for Schistosoma haematobium and Schistosoma bovis identified in localities within the Athi River basin of Kenya using a PCR-RFLP assay. Heliyon. 2021;7(2):e06114. pmid:33644442
  22. 22. Pennance T, Ame SM, Amour AK, Suleiman KR, Muhsin MA, Kabole F, et al. Transmission and diversity of Schistosoma haematobium and S. bovis and their freshwater intermediate snail hosts Bulinus globosus and B. nasutus in the Zanzibar Archipelago, United Republic of Tanzania. PLoS Negl Trop Dis. 2022;16(7):e0010585. pmid:35788199
  23. 23. Babbitt CR, Laidemitt MR, Mutuku MW, Oraro PO, Brant SV, Mkoji GM, et al. Bulinus snails in the Lake Victoria Basin in Kenya: Systematics and their role as hosts for schistosomes. PLoS Negl Trop Dis. 2023;17(2):e0010752. pmid:36763676
  24. 24. Tantrawatpan C, Vaisusuk K, Tanga CM, Pilap W, Bunchom N, Andrews RH, et al. Nuclear Intron Sequence Variation of the Bulinus globosus Complex (Mollusca: Planorbidae): Implications for Molecular Systematic Analyses. Biology (Basel). 2025;14(1):53. pmid:39857284
  25. 25. Young ND, Stroehlein AJ, Wang T, Korhonen PK, Mentink-Kane M, Stothard JR, et al. Nuclear genome of Bulinus truncatus, an intermediate host of the carcinogenic human blood fluke Schistosoma haematobium. Nat Commun. 2022;13(1):977. pmid:35190553
  26. 26. Zhang S-M, Bu L, Lu L, Babbitt C, Adema CM, Loker ES. Comparative mitogenomics of freshwater snails of the genus Bulinus, obligatory vectors of Schistosoma haematobium, causative agent of human urogenital schistosomiasis. Sci Rep. 2022;12(1):5357. pmid:35354876
  27. 27. Bu L, Habib MR, Lu L, Mutuku MW, Loker ES, Zhang S-M. Transcriptional profiling of Bulinus globosus provides insights into immune gene families in snails supporting the transmission of urogenital schistosomiasis. Dev Comp Immunol. 2024;154:105150. pmid:38367887
  28. 28. Habib MR, Posavi M, Lekired A, Zhang S-M. Exploring the genome-wide transcriptomic responses of Bulinus truncatus to Schistosoma haematobium infection: An important host-parasite system involved in the transmission of human urogenital schistosomiasis. Mol Immunol. 2024;175:74–88. pmid:39307031
  29. 29. Bu L, Lu L, Laidemitt MR, Zhang S-M, Mutuku M, Mkoji G, et al. A genome sequence for Biomphalaria pfeifferi, the major vector snail for the human-infecting parasite Schistosoma mansoni. PLoS Negl Trop Dis. 2023;17(3):e0011208. pmid:36961841
  30. 30. Doležel J, Sgorbati S, Lucretti S. Comparison of three DNA fluorochromes for flow cytometric estimation of nuclear DNA content in plants. Physiologia Plantarum. 1992;85(4):625–31.
  31. 31. Bu L, Zhong D, Lu L, Loker ES, Yan G, Zhang S-M. Compatibility between snails and schistosomes: insights from new genetic resources, comparative genomics, and genetic mapping. Commun Biol. 2022;5(1):940. pmid:36085314
  32. 32. Zhang S-M, Yan G, Lekired A, Zhong D. Genomic basis of schistosome resistance in a molluscan vector of human schistosomiasis. iScience. 2024;28(1):111520. pmid:39758819
  33. 33. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30(15):2114–20. pmid:24695404
  34. 34. Hahn C, Bachmann L, Chevreux B. Reconstructing mitochondrial genomes directly from genomic next-generation sequencing reads--a baiting and iterative mapping approach. Nucleic Acids Res. 2013;41(13):e129. pmid:23661685
  35. 35. Dierckxsens N, Mardulyn P, Smits G. NOVOPlasty: de novo assembly of organelle genomes from whole genome data. Nucleic Acids Res. 2017;45(4):e18. pmid:28204566
  36. 36. Jin J-J, Yu W-B, Yang J-B, Song Y, dePamphilis CW, Yi T-S, et al. GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes. Genome Biol. 2020;21(1):241. pmid:32912315
  37. 37. Prjibelski A, Antipov D, Meleshko D, Lapidus A, Korobeynikov A. Using SPAdes De Novo Assembler. Curr Protoc Bioinformatics. 2020;70(1):e102. pmid:32559359
  38. 38. Uliano-Silva M, Ferreira JGRN, Krasheninnikova K, Darwin Tree of Life Consortium, Formenti G, Abueg L, et al. MitoHiFi: a python pipeline for mitochondrial genome assembly from PacBio high fidelity reads. BMC Bioinformatics. 2023;24(1):288. pmid:37464285
  39. 39. Li H. Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics. 2018;34(18):3094–100. pmid:29750242
  40. 40. Cheng H, Concepcion GT, Feng X, Zhang H, Li H. Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm. Nat Methods. 2021;18(2):170–5. pmid:33526886
  41. 41. Donath A, Jühling F, Al-Arab M, Bernhart SH, Reinhardt F, Stadler PF, et al. Improved annotation of protein-coding genes boundaries in metazoan mitochondrial genomes. Nucleic Acids Res. 2019;47(20):10543–52. pmid:31584075
  42. 42. Galaxy Community. The Galaxy platform for accessible, reproducible, and collaborative data analyses: 2024 update. Nucleic Acids Res. 2024;52(W1):W83–94. pmid:38769056
  43. 43. Fourdrilis S, de Frias Martins AM, Backeljau T. Relation between mitochondrial DNA hyperdiversity, mutation rate and mitochondrial genome evolution in Melarhaphe neritoides (Gastropoda: Littorinidae) and other Caenogastropoda. Sci Rep. 2018;8(1):17964. pmid:30568252
  44. 44. Ghiselli F, Gomes-Dos-Santos A, Adema CM, Lopes-Lima M, Sharbrough J, Boore JL. Molluscan mitochondrial genomes break the rules. Philos Trans R Soc Lond B Biol Sci. 2021;376(1825):20200159. pmid:33813887
  45. 45. Edgar RC. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004;32(5):1792–7. pmid:15034147
  46. 46. Kumar S, Stecher G, Li M, Knyaz C, Tamura K. MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. Mol Biol Evol. 2018;35(6):1547–9. pmid:29722887
  47. 47. Folmer O, Black M, Hoeh W, Lutz R, Vrijenhoek R. DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Mol Mar Biol Biotechnol. 1994;3(5):294–9. pmid:7881515
  48. 48. Tamura K. Estimation of the number of nucleotide substitutions when there are strong transition-transversion and G+C-content biases. Mol Biol Evol. 1992;9(4):678–87. pmid:1630306
  49. 49. Tavaré S. Some probabilistic and statistical problems on the analysis of DNA sequences. Lectures in Mathematics of the Life Sciences. 1986;57–86.
  50. 50. Felsenstein J. Confidence limits on phylogenies: an approach using the bootstrap. Evolution. 1985;39(4):783–91. pmid:28561359
  51. 51. Wickham H, Averick M, Bryan J, Chang W, McGowan L, François R, et al. Welcome to the Tidyverse. JOSS. 2019;4(43):1686.
  52. 52. Lê S, Josse J, Husson F. FactoMineR: AnRPackage for Multivariate Analysis. J Stat Soft. 2008;25(1).
  53. 53. Wickham H. ggplot2. Springer International Publishing. 2016.
  54. 54. Neuwirth E. RColorBrewer: ColorBrewer palettes. 2022.
  55. 55. Patterson CM, Burch JB. Chromosomes of pulmonate mollusks. In: Fretter V, Peake J. Pulmonates, Vol. 2A, Systematics, Evolution and Ecology. London, New York, and San Francisco: Academic Press. 1988;171–217.
  56. 56. Goldman MA, LoVerde PT, Chrisman CL, Frankin DA. Chromosomal evolution in planorbid snails of the genera Bulinus and Biomphalaria. Malacologia. 1984;25(2):427–46.
  57. 57. Adema CM, Hillier LW, Jones CS, Loker ES, Knight M, Minx P, et al. Whole genome analysis of a schistosomiasis-transmitting freshwater snail. Nat Commun. 2017;8:15451. pmid:28508897
  58. 58. Pennance T, Calvelo J, Tennessen JA, Burd R, Cayton J, Bollmann SR, et al. The genome and transcriptome of the snail Biomphalaria sudanica s.l.: immune gene diversification and highly polymorphic genomic regions in an important African vector of Schistosoma mansoni. BMC Genomics. 2024;25(1):192. pmid:38373909
  59. 59. Zhong D, Bu L, Habib MR, Lu L, Yan G, Zhang S-M. A haplotype-like, chromosome-level assembled and annotated genome of Biomphalaria glabrata, an important intermediate host of schistosomiasis and the best studied model of schistosomiasis vector snails. PLoS Negl Trop Dis. 2024;18(2):e0011983. pmid:38421953
  60. 60. Bouchet P, Rocroi JP, Hausdorf B, Kaim A, Kano Y, Nützel A, et al. Revised classification, nomenclator and typification of gastropod and monoplacophoran families. Malacologia. 2017;61(1-2):1–526. doi.org/10.4002/040.061.0201
  61. 61. nam P, Tripathi NK, Kour P. Karyotypic and Morphometric Studies in Two Species of Family Planorbidae (Gastropoda: Mollusca). IntJCurrMicrobiolAppSci. 2018;7(09):1180–7.
  62. 62. Natarajan R, Burch J, Gismann A. Cytological studies of Planorbidae. 2 Some African Planorbidae, Bulininae and Planorbininae. Malacologia. 1965;2:239–51.
  63. 63. Burch JB. Chromosomes of intermediate hoss of human bilharziasis. Malacologia. 1967;5(2):127–35.
  64. 64. Claugher D. Karyotype analysis of bulinid snails. Bull World Health Organ. 1971;45(6):855–8. pmid:5317019
  65. 65. Brown DS, Wright CA. On a polyploid complex of freshwater snails (Planorbidae: Bulinus) in Ethiopia. Journal of Zoology. 1972;167(1):97–132.
  66. 66. Goldman MA, LoVerde PT, Chrisman CL. Comparative karyology of the freshwater snails Bulinus tropicus and B. natalensis. Can J Genet Cytol. 1980;22(3):361–7. pmid:7448622
  67. 67. Goldman MA, LoVerde PT, Chrisman CL. Hybrid origin of polyploidy in freshwater snails of the genus bulinus (mollusca: planorbidae). Evolution. 1983;37(3):592–600. pmid:28563304
  68. 68. McIntyre PJ. Cytogeography and genome size variation in the Claytonia perfoliata (Portulacaceae) polyploid complex. Ann Bot. 2012;110(6):1195–203. pmid:22962302
  69. 69. Rothleutner JJ, Friddle MW, Contreras RN. Ploidy Levels, Relative Genome Sizes, and Base Pair Composition in Cotoneaster. J Amer Soc Hort Sci. 2016;141(5):457–66.
  70. 70. Brown DS. A tetraploid freshwater snail (Planorbidae: Bulinus) in the highlands of Kenya. Journal of Natural History. 1976;10(3):257–67.
  71. 71. Burch JB, Bruce JI, Rudolph PH, Mallett JC, Banhawy MA. The chromosome numbers of four populations of bulinine snails from Lake Nasser, Egypt. Tropenmed Parasitol. 1979;30(2):174–8. pmid:483381
  72. 72. Yaseen AE. Cytogenetics and Biology of the Intermediate Host of Human Bilharziasis, Bulinus truncatus Common in Upper Egypt. cytologia. 1993;58(1):53–60.
  73. 73. DeJong RJ, Morgan JA, Paraense WL, Pointier JP, Amarista M, Ayeh-Kumi PF, et al. Evolutionary relationships and biogeography of Biomphalaria (Gastropoda: Planorbidae) with implications regarding its role as host of the human bloodfluke, Schistosoma mansoni. Mol Biol Evol. 2001;18(12):2225–39. pmid:11719572
  74. 74. Gregory TR, Nicol JA, Tamm H, Kullman B, Kullman K, Leitch IJ, et al. Eukaryotic genome size databases. Nucleic Acids Res. 2007;35(Database issue):D332-8. pmid:17090588
  75. 75. Jeffery NW, Hultgren K, Chak STC, Gregory TR, Rubenstein DR. Patterns of genome size variation in snapping shrimp. Genome. 2016;59(6):393–402. pmid:27171678
  76. 76. Moraes IRR, Pardo LM, Araya-Jaime C, Wolf MR, Yasui GS, Solano-Iguaran JJ, et al. Patterns of genome size variation in caridean shrimps: new estimates for non-gambarelloides Synalpheus species. Genome. 2022;65(8):459–68. pmid:35917258
  77. 77. Alvarez-Fuster A, Juan C, Petitpierre E. Genome size in Tribolium flour-beetles: inter- and intraspecific variation. Genet Res. 1991;58(1):1–5.
  78. 78. Ellis LL, Huang W, Quinn AM, Ahuja A, Alfrejd B, Gomez FE, et al. Intrapopulation genome size variation in D. melanogaster reflects life history variation and plasticity. PLoS Genet. 2014;10(7):e1004522. pmid:25057905
  79. 79. Blommaert J, Riss S, Hecox-Lea B, Mark Welch DB, Stelzer CP. Small, but surprisingly repetitive genomes: transposon expansion and not polyploidy has driven a doubling in genome size in a metazoan species complex. BMC Genomics. 2019;20(1):466. pmid:31174483
  80. 80. Neiman M, Paczesniak D, Soper DM, Baldwin AT, Hehman G. Wide variation in ploidy level and genome size in a New Zealand freshwater snail with coexisting sexual and asexual lineages. Evolution. 2011;65(11):3202–16. pmid:22023586
  81. 81. Larkin K, Tucci C, Neiman M. Effects of polyploidy and reproductive mode on life history trait expression. Ecol Evol. 2016;6(3):765–78. pmid:26865964
  82. 82. McElroy KE, Müller S, Lamatsch DK, Bankers L, Fields PD, Jalinsky JR, et al. Asexuality Associated with Marked Genomic Expansion of Tandemly Repeated rRNA and Histone Genes. Mol Biol Evol. 2021;38(9):3581–92. pmid:33885820
  83. 83. Osnas EE, Lively CM. Host ploidy, parasitism and immune defence in a coevolutionary snail-trematode system. J Evol Biol. 2006;19(1):42–8. pmid:16405575
  84. 84. King KC, Seppälä O, Neiman M. Is more better? Polyploidy and parasite resistance. Biol Lett. 2012;8(4):598–600. pmid:22258448
  85. 85. Hagen ER, Mason CM. Differences in pathogen resistance between diploid and polyploid plants: a systematic review and meta‐analysis. Oikos. 2023;2024(5).
  86. 86. Adams KL. Evolution of duplicate gene expression in polyploid and hybrid plants. J Hered. 2007;98(2):136–41. pmid:17208934
  87. 87. Chen ZJ. Genetic and epigenetic mechanisms for gene expression and phenotypic variation in plant polyploids. Annu Rev Plant Biol. 2007;58:377–406. pmid:17280525
  88. 88. Yoo M-J, Liu X, Pires JC, Soltis PS, Soltis DE. Nonadditive gene expression in polyploids. Annu Rev Genet. 2014;48:485–517. pmid:25421600
  89. 89. Wang L, Jia G, Jiang X, Cao S, Chen ZJ, Song Q. Altered chromatin architecture and gene expression during polyploidization and domestication of soybean. Plant Cell. 2021;33(5):1430–46. pmid:33730165
  90. 90. Rollinson D, Stothard JR, Southgate VR. Interactions between intermediate snail hosts of the genus Bulinus and schistosomes of the Schistosoma haematobium group. Parasitology. 2001;123 Suppl:S245-60. pmid:11769287
  91. 91. Li J-T, Wang Q, Huang Yang M-D, Li Q-S, Cui M-S, Dong Z-J, et al. Parallel subgenome structure and divergent expression evolution of allo-tetraploid common carp and goldfish. Nat Genet. 2021;53(10):1493–503. pmid:34594040
  92. 92. Kuhl H, Du K, Schartl M, Kalous L, Stöck M, Lamatsch DK. Author Correction: Equilibrated evolution of the mixed auto-/allopolyploid haplotype-resolved genome of the invasive hexaploid Prussian carp. Nat Commun. 2022;13(1):4638. pmid:35941146
  93. 93. Liu S, Li K, Dai X, Qin G, Lu D, Gao Z, et al. A telomere-to-telomere genome assembly coupled with multi-omic data provides insights into the evolution of hexaploid bread wheat. Nat Genet. 2025;57(4):1008–20. pmid:40195562
  94. 94. Zan Y, Chen S, Ren M, Liu G, Liu Y, Han Y, et al. The genome and GeneBank genomics of allotetraploid Nicotiana tabacum provide insights into genome evolution and complex trait regulation. Nat Genet. 2025;57(4):986–96. pmid:40140587
  95. 95. Zhang S-M, Bu L, Laidemitt MR, Lu L, Mutuku MW, Mkoji GM, et al. Complete mitochondrial and rDNA complex sequences of important vector species of Biomphalaria, obligatory hosts of the human-infecting blood fluke, Schistosoma mansoni. Sci Rep. 2018;8(1):7341. pmid:29743617
  96. 96. Stothard JR, Hughes S, Rollinson D. Variation within the internal transcribed spacer (ITS) of ribosomal DNA genes of intermediate snail hosts within the genus Bulinus (Gastropoda: Planorbidae). Acta Trop. 1996;61(1):19–29. pmid:9133161
  97. 97. Jørgensen A, Jørgensen LVG, Kristensen TK, Madsen H, Stothard JR. Molecular phylogenetic investigations of Bulinus (Gastropoda: Planorbidae) in Lake Malawi with comments on the topological incongruence between DNA loci. Zoologica Scripta. 2007;36(6):577–85.
  98. 98. Jørgensen A, Madsen H, Nalugwa A, Nyakaana S, Rollinson D, Stothard JR, et al. Molecular phylogenetic analysis of Bulinus (Gastropoda: Planorbidae) with conserved nuclear genes. Zoologica Scripta. 2010;40:126–36.
  99. 99. Nalugwa A, Jørgensen A, Nyakaana S, Kristensen TK. Molecular phylogeny of Bulinus (Gastropoda: Planorbidae) reveals the presence of three species complexes in the Albertine Rift freshwater bodies. Intl J Genet Mol Biol. 2010;2(7):130–9.
  100. 100. Tumwebaze I, Clewing C, Chibwana FD, Kipyegon JK, Albrecht C. Evolution and Biogeography of Freshwater Snails of the Genus Bulinus (Gastropoda) in Afromontane Extreme Environments. Front Environ Sci. 2022;10.
  101. 101. Andrus PS, Joof E, Wade CM. Differentiation of Bulinus senegalensis and Bulinus forskalii Snails in West Africa Using Morphometric Analysis. Acta Parasitol. 2024;69(1):1016–26. pmid:38502474
  102. 102. Stothard JR, Llewellyn-Hughes J, Griffin CE, Hubbard SJ, Kristensen TK, Rollinson D. Identification of snails within the Bulinus africanus group from East Africa by multiplex SNaPshot trade mark analysis of single nucleotide polymorphisms within the cytochrome oxidase subunit I. Mem Inst Oswaldo Cruz. 2002;97 Suppl 1:31–6. pmid:12426591
  103. 103. Bogart JP, Bi K. Genetic and genomic interactions of animals with different ploidy levels. Cytogenet Genome Res. 2013;140(2–4):117–36. pmid:23751376
  104. 104. Zhong J, Yi S, Ma L, Wang W. Evolution and phylogeography analysis of diploid and polyploid Misgurnus anguillicaudatus populations across China. Proc Biol Sci. 2019;286(1901):20190076. pmid:31014220
  105. 105. Brown DS, Wright CA. A new species ofBulinus(Mollusca: Gastropoda) from temporary freshwater pools in Kenya. Journal of Natural History. 1978;12(2):217–29.
  106. 106. Jelnes JE. Experimental taxonomy of Bulinus. 3. Electrophoretic observations on B. forskalii, B. browni, B. barthi and B. scalaris from East Africa, with additional electrophoretic data on the subgenus Bulinus s. s from other part of Africa. Steenstrupia. 1980;6:177–93.
  107. 107. Toews DPL, Brelsford A. The biogeography of mitochondrial and nuclear discordance in animals. Mol Ecol. 2012;21(16):3907–30. pmid:22738314
  108. 108. Paczesniak D, Jokela J, Larkin K, Neiman M. Discordance between nuclear and mitochondrial genomes in sexual and asexual lineages of the freshwater snail Potamopyrgus antipodarum. Mol Ecol. 2013;22(18):4695–710. pmid:23957656
  109. 109. Nolan JR, Bergthorsson U, Adema CM. Physella acuta: atypical mitochondrial gene order among panpulmonates (Gastropoda). J Molluscan Stud. 2014;80(4):388–99. pmid:25368439
  110. 110. David P, Degletagne C, Saclier N, Jennan A, Jarne P, Plénet S, et al. Extreme mitochondrial DNA divergence underlies genetic conflict over sex determination. Curr Biol. 2022;32(10):2325-2333.e6. pmid:35483362