| Literature DB >> 32795373 |
Fred D Chibwana1,2, Immaculate Tumwebaze3, Anna Mahulu3, Arthur F Sands3, Christian Albrecht3.
Abstract
BACKGROUND: The Lake Victoria basin is one of the most persistent hotspots of schistosomiasis in Africa, the intestinal form of the disease being studied more often than the urogenital form. Most schistosomiasis studies have been directed to Schistosoma mansoni and their corresponding intermediate snail hosts of the genus Biomphalaria, while neglecting S. haematobium and their intermediate snail hosts of the genus Bulinus. In the present study, we used DNA sequences from part of the cytochrome c oxidase subunit 1 (cox1) gene and the internal transcribed spacer 2 (ITS2) region to investigate Bulinus populations obtained from a longitudinal survey in Lake Victoria and neighbouring systems during 2010-2019.Entities:
Keywords: African lakes; Epidemiology; Neglected tropical diseases; Phylogeography; Schistosoma haematobium
Mesh:
Substances:
Year: 2020 PMID: 32795373 PMCID: PMC7427762 DOI: 10.1186/s13071-020-04281-1
Source DB: PubMed Journal: Parasit Vectors ISSN: 1756-3305 Impact factor: 3.876
Fig. 1Study area map of East African countries that share Lake Victoria and the sampling sites for this study are shown
Locality, voucher, sequence and haplotype information for the Bulinus spp. from Lake Victoria studied
| Species | Locality | Country | Latitude | Longitude | Voucher No. | Sequence ID | Habitat | Haplotype ID | GenBank ID | |
|---|---|---|---|---|---|---|---|---|---|---|
| ITS2 | ||||||||||
| Igabiro | Tanzania | − 1.17769 | 31.87792 | UGSB 22907 | Bkt26885 | Stone and rocks | BKT1 | MT707360 | MT707212 | |
| Igabiro | Tanzania | − 1.17769 | 31.87792 | UGSB 22908 | BKt26886 | Stone and rocks | BKT2 | MT707361 | ||
| Kemondo | Tanzania | − 1.47796 | 31.7498 | UGSB 22909 | Ket26887 | Stone and rocks | KET1 | MT707362 | MT707222 | |
| Kemondo | Tanzania | − 1.47796 | 31.7498 | UGSB 22910 | Ket26888 | Stone and rocks | KET2 | MT707363 | ||
| Bumbire Island | Tanzania | − 1.61476 | 31.85625 | UGSB 22911 | Bit26889 | Island | BIT1 | MT707364 | ||
| Bumbire Island | Tanzania | − 1.61476 | 31.85625 | UGSB 22912 | Bit26890 | Island | BIT2 | MT707365 | MT707234 | |
| Bumbire Island | Tanzania | − 1.61476 | 31.85625 | UGSB 22946 | Bit26924 | Island | BIT3 | MT707366 | ||
| Bumbire Island | Tanzania | − 1.61476 | 31.85625 | UGSB 23464 | Bit27073 | Island | BIT4 | MT707367 | ||
| Bumbire Island | Tanzania | − 1.61476 | 31.85625 | UGSB 23465 | Bit27074 | Island | BIT5 | MT707368 | ||
| Kabunyorwa | Tanzania | − 2.06018 | 31.61382 | UGSB 22913 | Kbt26891 | Papyrus | KBT1 | MT707369 | ||
| Kabunyorwa | Tanzania | − 2.06018 | 31.61382 | UGSB 22914 | Kbt26892 | Papyrus | KBT2 | MT707370 | MT707235 | |
| Muganza | Tanzania | − 2.33702 | 31.75166 | UGSB 22915 | Mut26893 | Open water | MUT1 | MT707371 | ||
| Muganza | Tanzania | − 2.33702 | 31.75166 | UGSB 22916 | Mut26894 | Open water | MUT2 | MT707372 | MT707220 | |
| Muganza | Tanzania | − 2.33702 | 31.75166 | UGSB 22940 | Mut26918 | Water Hyasin | MUT3 | MT707373 | MT707236 | |
| Muganza | Tanzania | − 2.33702 | 31.75166 | UGSB 22941 | Mut26919 | Water Hyasin | MUT4 | MT707374 | ||
| Muganza | Tanzania | -2.33702 | 31.75166 | UGSB 22945 | Mut26923 | Open water | MUT5 | MT707375 | ||
| Chato | Tanzania | − 2.63292 | 31.76368 | UGSB 23463 | Cht27072 | Papyrus | CHT1 | MT707376 | ||
| Nungwe | Tanzania | − 2.77446 | 32.0136 | UGSB 22919 | Nut26897 | Papyrus | NUT1 | MT707377 | ||
| Nungwe | Tanzania | − 2.77446 | 32.0136 | UGSB 22920 | Nut26898 | Papyrus | NUT2 | MT707378 | MT707233 | |
| Nungwi | Tanzania | − 2.77446 | 32.0136 | UGSB 23466 | Nut27075 | Papyrus | NUT3 | MT707379 | ||
| Nzera | Tanzania | − 2.51209 | 32.09845 | UGSB 22921 | Nzt26899 | Sand beach | NZT1 | MT707380 | ||
| Nzera | Tanzania | − 2.51209 | 32.09845 | UGSB 22922 | Nzt26900 | Sand beach | NZT2 | MT707381 | MT707229 | |
| Nyakalilo | Tanzania | − 2.43669 | 32.41158 | UGSB 22923 | Nyt26901 | Stone beach | NYT1 | MT707382 | MT707221 | |
| Nyakalilo | Tanzania | − 2.43669 | 32.41158 | UGSB 22924 | Nyt26902 | Papyrus | NYT2 | MT707383 | MT707237 | |
| Busisi | Tanzania | − 2.72626 | 32.87034 | UGSB 22925 | But26903 | Water Hyasin | BUT1 | MT707384 | MT707230 | |
| Busisi | Tanzania | − 2.72626 | 32.87034 | UGSB 22926 | But26904 | Water Hyasin | BUT2 | MT707385 | ||
| Nyegezi A | Tanzania | − 2.585 | 32.88541 | UGSB 22927 | Sat26905 | Water Hyasin | SAT1 | MT707386 | MT707238 | |
| Nyegezi A | Tanzania | − 2.585 | 32.88541 | UGSB 22928 | Sat26906 | Stone and rocks | SAT2 | MT707387 | MT707223 | |
| Nyegezi B | Tanzania | − 2.58434 | 32.88331 | UGSB 22929 | Sbt26907 | Stone and rocks | SBT1 | MT707387 | MT707216 | |
| Nyegezi B | Tanzania | − 2.58434 | 32.88331 | UGSB 22930 | Sbt26908 | Stone and rocks | SBT2 | MT707387 | ||
| Nyegezi C | Tanzania | − 2.58388 | 33.51714 | UGSB 22942 | Sct26920 | Sand beach | SCT1 | MT707390 | MT707228 | |
| Nyegezi C | Tanzania | − 2.58388 | 33.51714 | UGSB 22943 | Sct26921 | Sand beach | SCT2 | MT707391 | ||
| Nyegezi C | Tanzania | − 2.58388 | 33.51714 | UGSB 22944 | Sct26922 | Sand beach | SCT3 | MT707392 | MT707226 | |
| Nyanguge | Tanzania | − 2.51911 | 33.20884 | UGSB 22933 | Ngt26911 | Marshes/papyrus | NGT1 | MT707393 | ||
| Nyanguge | Tanzania | − 2.51911 | 33.20884 | UGSB 22934 | Ngt26912 | Marshes/papyrus | NGT2 | MT707394 | MT707232 | |
| Nyanguge | Tanzania | − 2.51911 | 33.20884 | UGSB 23467 | Ngt27076 | Marshes/papyrus | NGT3 | MT707395 | ||
| Mwamanyiri | Tanzania | − 2.43022 | 33.5424 | UGSB 22935 | Mwt26913 | Marshes/papyrus | MWT1 | MT707396 | MT707231 | |
| Mwamanyiri | Tanzania | − 2.43022 | 33.5424 | UGSB 22936 | Mwt26914 | Marshes/papyrus | MWT2 | MT707397 | ||
| Mwamanyiri | Tanzania | − 2.43022 | 33.5424 | UGSB 23468 | Mwt27077 | Marshes/papyrus | MWT3 | MT707398 | ||
| Lamadi | Tanzania | − 2.23738 | 33.84236 | UGSB 22937 | Lat26915 | Marshes/papyrus | LAT1 | MT707399 | ||
| Lamadi | Tanzania | − 2.23738 | 33.84236 | UGSB 22938 | Lat26916 | Marshes/papyrus | LAT2 | MT707400 | MT707240 | |
| Lamadi | Tanzania | − 2.23738 | 33.84236 | UGSB 23469 | Lat27078 | Marshes/papyrus | LAT4 | MT707401 | ||
| Kisumu | Kenya | − 0.12739 | 34.74232 | UGSB 23446 | Kik27055 | Water Hyasin | KIK1 | MT707402 | ||
| Kisumu | Kenya | − 0.12739 | 34.74232 | UGSB 23447 | Kik27056 | Water Hyasin | KIK2 | MT707403 | MT707239 | |
| Kisumu | Kenya | − 0.12739 | 34.74232 | UGSB 23448 | kik27057 | Water Hyasin | KIK3 | MT707406 | ||
| Nile | Uganda | 0.42084 | 33.19639 | UGSB 23452 | Niu27061 | Open water | JIU1 | MT707407 | MT707214 | |
| Mayuge | Uganda | 0.14067 | 33.60258 | UGSB 16758 | Myu22513 | Open water | MYU1 | MT707404 | ||
| Mayuge | Uganda | 0.14067 | 33.60258 | UGSB 16757 | Myu22514 | Open water | MYU2 | MT707405 | ||
| Mayuge | Uganda | 0.14067 | 33.60258 | UGSB 23453 | Myu27062 | Open water | MYU3 | MT707408 | ||
| Mayuge | Uganda | 0.14067 | 33.60258 | UGSB 23454 | Myu27063 | Open water | MYU4 | MT707409 | ||
| Mayuge | Uganda | 0.14067 | 33.60258 | UGSB 23603 | Myu27108 | Open water | MYU5 | MT707411 | ||
| Mayuge | Uganda | 0.14067 | 33.60258 | UGSB 23604 | Myu27109 | Open water | MYU6 | MT707410 | MT707218 | |
| Masindi | Uganda | 2.12852 | 32.32919 | UGSB 23457 | Msu27066 | Nile river | MSU1 | MT707412 | ||
| Masindi | Uganda | 2.12852 | 32.32919 | UGSB 23458 | Msu27067 | Nile river | MSU2 | MT707413 | ||
| Masindi | Uganda | 2.12852 | 32.32919 | UGSB 23459 | Msu27068 | Nile river | MSU3 | MT707414 | ||
| Masindi | Uganda | 2.12852 | 32.32919 | UGSB 23460 | Msu27069 | Nile river | MSU4 | MT707415 | MT707217 | |
| Masindi | Uganda | 2.12852 | 32.32919 | UGSB 23607 | Msu27112 | Nile river | MSU5 | MT707416 | ||
| Masindi Port | Uganda | 1.69249 | 32.09664 | UGSB 16759 | Mpu22515 | Nile river | MPU1 | MT707417 | ||
| Masindi Port | Uganda | 1.69249 | 32.09664 | UGSB 16760 | Mpu22516 | Nile river | MPU2 | MT707418 | ||
| Masindi Port | Uganda | 1.69249 | 32.09664 | UGSB 23610 | Mpu27115 | Nile river | MPU3 | MT707419 | MT707219 | |
| Masaka | Uganda | − 0.27263 | 32.02691 | UGSB 23461 | Mku27070 | Water Hyasin | MKU1 | MT707420 | ||
| Kampala | Uganda | − 0.27263 | 32.02691 | UGSB 23596 | Kau27101 | Water Hyasin | KAU1 | MT707421 | MT707241 | |
| Kampala | Uganda | − 0.27263 | 32.02691 | UGSB 23598 | Kau27103 | Open water | KAU2 | MT707422 | MT707215 | |
| Kampala | Uganda | − 0.27263 | 32.02691 | UGSB 23599 | Kau27104 | Water Hyasin | KAU3 | MT707423 | ||
| Amotar | Uganda | 1.55822 | 32.88828 | UGSB 23613 | Amu27118 | Marshes/papyrus | AMU1 | MT707424 | ||
| Kalangala | Uganda | 0.30371 | 32.28927 | UGSB 16774 | Klu22530 | Open water | KLU1 | MT707425 | ||
| Kalangala | Uganda | 0.30371 | 32.28927 | UGSB 23616 | Klu27121 | Open water | KLU2 | MT707426 | MT707213 | |
| Lake Mburo | Uganda | − 0.638 | 30.9528 | UG3 | BspJDUG3 | MNU1 | MT707427 | |||
| River Rwizi | Uganda | − 0.6863 | 30.8856 | UG19 | BspJUG19 | MNU2 | MT707428 | |||
| River Rwizi | Uganda | − 0.6863 | 30.8856 | UG22 | BspJUG22 | MNU3 | MT707429 | |||
| Lake Mburo | Uganda | − 0.6951 | 30.8514 | UG27 | BspJUG27 | MNU4 | MT707430 | |||
| Lake Nakivale | Uganda | − 0.8205 | 30.8559 | UG7 | BspJDUG7 | MNU5 | MT707431 | |||
| Lake Nakivale | Uganda | − 0.8205 | 30.8559 | UG98 | BspJUG98 | MNU6 | MT707432 | |||
| Lake Nakivale | Uganda | − 0.8205 | 30.8559 | UG76 | BspJUG76 | MNU7 | MT707403 | |||
| Lake Albert | Uganda | A1 | HQ121558 | LAU1 | HQ121558 | |||||
| Lake Albert | Uganda | A2 | HQ121559 | LAU2 | HQ121559 | |||||
| Lake Albert | Uganda | A3 | HQ121560 | LAU3 | HQ121560 | |||||
| Katosho swamp | Tanzania | T1 | HQ121562 | KST1 | HQ121562 | |||||
| Lake Albert | Uganda | BO (Booma) | GU176747 | LAU4 | GU176747 | |||||
| Lake Albert | Uganda | 1PD (Piida) | GU176748 | LAU5 | GU176748 | |||||
| Lake Albert | Uganda | TO (Toonya) | GU176749 | LAU6 | GU176749 | |||||
| Nyanguge | Tanzania | Nyanguge | AM286313 | NGT | AM286313 | |||||
| Kisumu | Kenya | ADC farm | AM286297 | AFK1 | AM286297 | |||||
| Lake Sagara | Tanzania | T04em43A | AM286298 | LST | AM286298 | |||||
Abbreviation: UGSB, University of Giessen Systematics and Biodiversity collection
Fig. 2The BI phylogenetic tree of Bulinus species with bars, on the right, denoting different species delimitation results, based on the dataset of concatenated cox1 and ITS2 sequences. Within the phylogeny, nodes supported and shared between BI and ML methods are marked with stars where support equates to 90–100% (ML) and 0.95–1 (BI). Names in bold are for specimens collected in the present study and the rest have been retrieved from GenBank: B. truncatus (a); B. tropicus (b); Bulinus sp. 1 (c); Bulinus sp. 2 (d). Locality details are provided in Table 1. Abbreviations: CLI, Clade I; CLII, Clade II; SCI, Subclade I; SCII, Subclade II. The three-letter abbreviation for countries is also given. Notes: the blue colour represents different species, while green stands for the same species according to species delimitation methods. The three-letter abbreviations represent countries: NIG, Nigeria; SAF, South Africa; UGA, Uganda; MLW, Malawi; TZA, Tanzania; CAM, Cameroon; SEN, Senegal; ZNZ, Zanzibar; KEN, Kenya; ANG, Angola. The information for sequences retrieved from the GenBank is presented in Additional file 1: Table S1
Fig. 3Statistical parsimony network of cox1 sequences (connecting limit: 95%) of Bulinus species from Lake Victoria; Bulinus sp. 2 (a), B. truncatus (b), B. tropicus (c), Bulinus sp. 1 (d), B. nasutus (e) and B. forskalii (f). The size of the circles corresponds to the number of individuals belonging to the respective haplotype. Mutational steps for the missing haplotypes are presented as small circles, and numbers correspond to the number of individuals with a given haplotype. Green stands for GenBank material
Fig. 4A map of Lake Victoria showing Bulinus species haplotypes distribution. Specimen details are provided in Table 1
Results of genetic diversities, AMOVAs and mismatch distribution for populations of Bulinus spp. in Lake Victoria
| Mean ( | Lentic sand substrate ( | Lentic stone & rocks substrate ( | River systems ( | Mean ( | Islands ( | Swamp papyrus ( | Marshes water hyacinth ( | |
|---|---|---|---|---|---|---|---|---|
| Haplotype (h) | 22 | 11 | 8 | 5 | 17 | 4 | 10 | 7 |
| Haplotype diversity ( | 0.978 ± 0.005 | 0.956 ± 0.0156 | 1.000 ± 0.022 | 0.905 ± 0.040 | 0.940 ± 0.005 | 0.900 ± 0.016 | 0.895 ± 0.022 | 0.909 ± 0.041 |
| Nucleotide diversity ( | 0.01067 | 0.01134 | 0.01014 | 0.08387 | 0.00753 | 0.005 | 0.010 | 0.084 |
| 0.034 (0.045) | 0.014 (0.297) | 0.048 (0.072) | 0.047 (0.027) | 0.064 (0.020) | 0.077 (0.081) | − 0.016 (0.432) | 0.080 (0.000) | |
| Tajima’s | − 0.126 (0.484) | − 1.092 | 0.096 (0.575) | 0.618 (0.733) | − 1.158 (0.112) | − 1.162 | − 0.606 (0.279) | − 0.317 (0.414) |
| Fu’s | − 1.735 (0.237) | − 2.549 (0.097) | − 3.273 (0.022) | 0.617 (0.585) | − 5.439 (0.014) | − 0.445 (0.277) | − 2.088 (0.149) | 0.644 (0.312) |
Note: The ordering of specimens was based on the habitats they were found
Results of the mismatch distribution analyses for the demographic and spatial expansions of the Bulinus species from Lake Victoria populations and time since expansion
| Demographic expansion | Spatial expansion | Demographic expansion | Spatial expansion | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Lentic sand substrate | Lentic stones & rock substrates | Lotic habitats | Lentic sand substrate | Lentic stones & rock substrates | Lotic habitats | Islands | Swamp papyrus | Marshesa | Islands | Swamp papyrus | Marshesa | |
| SSD (P-value) | 0.095 (0.280) | 0.079 (< 0.0001) | 0.024 (0.160) | 0.095 (0.430) | 0.069 (0.040) | 0.020 (0.600) | 0.023 (0.130) | 0.087 (0.010) | 0.069 (0.170) | 0.021 (0.370) | 0.059 (0.100) | 0.063 (0.410) |
| RI (P-value) | 0.310 (0.280) | 0.219 (< 0.0001) | 0.073 (0.280) | 0.310 (0.510) | 0.219 (0.110) | 0.073 (0.640) | 0.032 (0.450) | 0.092 (0.580) | 0.213 (0.200) | 0.032 (0.680) | 0.092 (0.430) | 0.213 (0.390) |
| Theta0/Theta | 0.000 | 1.900 | 0.000 | 0.05589 | 0.001 | 0.001 | 0.000 | 5.500 | 1.622 | 0.010 | 0.010 | 1.180 |
| Theta1 | 16.211 | 3414.978 | 34.961 | 46.951 | 3414.978 | 49.882 | ||||||
| τ (Cl) | 3.469 (2.258-6.211) | 4.000 (2.822–7.725) | 5.556 (2.994–7.803) | 3.233 (1.555-6.146) | 5.811 (2.309–7.509) | 5.363 (2.788–7.639) | 6.277 (3.646–8.352) | 5.000 (3.555–13.682) | 5.438 (3.344–10.984) | 6.121 (3.805–7.578) | 7.234 (2.901–8.282) | 5.453 (2.619–10.173) |
| T in years | 222,824 | 256,951 | 356,946 | 207,694 | 373,288 | 344,497 | 403,243 | 321,188 | 349,293 | 393,184 | 464,678 | 350,287 |
| ΔT in years | ± 77,788 | ± 75,655 | ± 164,610 | ± 107,823 | ± 224,936 | ± 165,400 | ± 169,000 | ± 92,843 | ± 134,498 | ± 148,784 | ± 278,312 | ± 182,033 |
Abbreviations: SSD, sum of squared deviations; RI, raggedness index; CI, 95% confidence interval; τ, population parameter Tau; T, time since expansion
aWater hyacinth
Species diversity of the genus Bulinus in the Lake Victoria basin
| Species | Occurrence | Role as host | Reference | Present study |
|---|---|---|---|---|
| Near LV in Kenya, Mwanza, Tanzania | Main host in South Africa, NW Tanzania | Brown [ | Not found | |
| Mwanza, LV, Kisumu | Southern Africa, Main host in NW Tanzania | Loker et al [ | Not found | |
| LV | not confirmed | Brown [ | ||
| Eastern shore LV | Main host in NW Tanzania | Brown [ | ||
| Not mentioned before | Not known | |||
| Near Kisumu and Mwanza | Not known | Brown [ | Not found | |
| LV and Lake Edward | Brown [ | |||
| LV and Victoria Nile | Not known | Brown [ | Not found | |
| LV, NW Tanzania | Not known | Brown [ |
Notes: Taxa mentioned in the literature, their distribution, assumed or proven roles as intermediate hosts for S. haematobium are provided. Where possible, findings from the recent study are compared to the previous information
Abbreviation: LV, Lake Victoria