Abstract
Schistosoma japonicum had once caused the greatest disease burden in China and has still been transmitted in some hilly areas, for example, in Shitai of Anhui province, where rodents are projected to be the main reservoir. This may lead to a critical need of molecular tools with high efficiency in monitoring the dynamic of the rodent-associated S. japonicum, as an appropriate amount of schistosome input can re-establish its life cycle in a place with snails and then result in the re-emergence of schistosomiasis. Therefore, the goal of this study was to develop high polymorphic microsatellites from the whole genome of rodent-associated S. japonicum strain to monitor its transmission dynamic. We sampled the hilly schistosome isolate from Shitai of Anhui in China and sequenced the parasite with the next-generation sequencing technology. The whole genome was assembled with four different approaches. We then developed 71 microsatellite markers at a genome-wide scale throughout two best assembled genomes. Based on their chromosome mapping and the expected length of targeted sequences, we selected 24 markers for the development of multiplex reactions. Two multiplexes composed of 10 loci were finally developed, and their potential was revealed by their successful application on and capturing the genetic diversity of three schistosome populations. The selected 10 markers, each with clear chromosome location and characteristics, will be greatly useful in tracing the dispersal pathways or/and dynamics of the rodent-associated S. japonicum or others in the hilly area of China or elsewhere.
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References
Aird D et al (2011) Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries. Genome Biol 12(2):R18. https://doi.org/10.1186/gb-2011-12-2-r18
Assaré RK et al (2014) Sustaining control of schistosomiasis mansoni in moderate endemicity areas in western Côte d’Ivoire: a SCORE study protocol. BMC Public Health 14:1290. https://doi.org/10.1186/1471-2458-14-1290
Bankevich A et al (2012) SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 19(5):455–477. https://doi.org/10.1089/cmb.2012.0021
Bao W, Kojima KK, Kohany O (2015) Repbase Update, a database of repetitive elements in eukaryotic genomes. Mob DNA 6:11. https://doi.org/10.1186/s13100-015-0041-9
Barendregt JJ, Doi SA, Lee YY, Norman RE, Vos T (2013) Meta-analysis of prevalence. J Epidemiol Community Health 67(11):974-8. https://doi.org/10.1136/jech-2013-203104
Beier S, Thiel T, Munch T, Scholz U, Mascher M (2017) MISA-web: a web server for microsatellite prediction. Bioinformatics 33(16):2583–2585. https://doi.org/10.1093/bioinformatics/btx198
Bian CR, Gao YM, Lamberton PH, Lu DB (2015) Comparison of genetic diversity and population structure between two Schistosoma japonicum isolates--the field and the laboratory. Parasitol Res 114(6):2357–2362. https://doi.org/10.1007/s00436-015-4433-z
Bing Y et al (2015) Development and evaluation of microsatellite markers in Parargyrops edita. South China Fisheries Science 11(4):116–120. https://doi.org/10.3969/j.issn.2095-0780.2015.04.017
Botstein D, White RL, Skolnick M, Davis RW (1980) Construction of a genetic linkage map in man using restriction fragment length polymorphisms. Am J Hum Genet 32(3):314–331
Carlton EJ, Bates MN, Zhong B, Seto EY, Spear RC (2011) Evaluation of mammalian and intermediate host surveillance methods for detecting schistosomiasis reemergence in southwest China. PLoS Negl Trop Dis 5(3):e987. https://doi.org/10.1371/journal.pntd.0000987
Chen S, Zhou Y, Chen Y, Gu J (2018) fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 34(17):i884–i890. https://doi.org/10.1093/bioinformatics/bty560
Chikhi R, Medvedev P (2014) Informed and automated k-mer size selection for genome assembly. Bioinformatics 30(1):31–37. https://doi.org/10.1093/bioinformatics/btt310
Flynn JM et al (2020) RepeatModeler2 for automated genomic discovery of transposable element families. Proc Natl Acad Sci U S A 117(17):9451–9457. https://doi.org/10.1073/pnas.1921046117
Forouzan E, Shariati P, Mousavi Maleki MS, Karkhane AA, Yakhchali B (2018) Practical evaluation of 11 de novo assemblers in metagenome assembly. J Microbiol Methods 151:99–105. https://doi.org/10.1016/j.mimet.2018.06.007
Gao YM, Lu DB, Ding H, Lamberton PHL (2015) Detecting genotyping errors at Schistosoma japonicum microsatellites with pedigree information. Parasit Vectors 8(1):452. https://doi.org/10.1186/s13071-015-1074-0
Gurevich A, Saveliev V, Vyahhi N, Tesler G (2013) QUAST: quality assessment tool for genome assemblies. Bioinformatics 29(8):1072–1075. https://doi.org/10.1093/bioinformatics/btt086
He YX, Salafsky B, Ramaswamy K (2001) Host-parasite relationships of Schistosoma japonicum in mammalian hosts. Trends Parasitol 17(7):320–324. https://doi.org/10.1016/s1471-4922(01)01904-3
Holland MM, Parson W (2011) GeneMarker(R) HID: a reliable software tool for the analysis of forensic STR data. J Forensic Sci 56(1):29–35. https://doi.org/10.1111/j.1556-4029.2010.01565.x
Holleley CE, Geerts PG (2009) Multiplex Manager 1.0: a cross-platform computer program that plans and optimizes multiplex PCR. Biotechniques 46(7):511–517. https://doi.org/10.2144/000113156
Jackman SD et al (2017) ABySS 2.0: resource-efficient assembly of large genomes using a Bloom filter. Genome Res 27(5):768–777. https://doi.org/10.1101/gr.214346.116
Kajitani R et al (2014) Efficient de novo assembly of highly heterozygous genomes from whole-genome shotgun short reads. Genome Res 24(8):1384–1395. https://doi.org/10.1101/gr.170720.113
Kalinowski ST, Taper ML, Marshall TC (2007) Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment. Mol Ecol 16(5):1099–1106. https://doi.org/10.1111/j.1365-294X.2007.03089.x
Kovach JD et al (2021) A Schistosoma mansoni tri- and tetramer microsatellite catalog for genetic population diversity and differentiation. Int J Parasitol 51(12):1007–1014. https://doi.org/10.1016/j.ijpara.2021.04.002
Lalitha S (2000) Primer Premier 5. Biotech Software Internet Rep 1(6):270–272
Lei ZL, Zhou XN (2015) Eradication of schistosomiasis : a new target and a new task for the National Schistosomiasis Control Porgramme in the People’s Republic of China. Chin J Schisto Control 27(1):1–4. https://doi.org/10.16250/j.32.1374.2015036
Li D, Liu CM, Luo R, Sadakane K, Lam TW (2015) MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph. Bioinformatics 31(10):1674–1676. https://doi.org/10.1093/bioinformatics/btv033
Li GQ, Song LX, Jin CQ, Li M, Gong SP, Wang YF (2019) Genome survey and SSR analysis of Apocynum venetum. Biosci Rep 39(6). https://doi.org/10.1042/BSR20190146
Li H, Durbin R (2009) Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25(14):1754–1760. https://doi.org/10.1093/bioinformatics/btp324
Li H et al (2009) The sequence alignment/map format and SAMtools. Bioinformatics 25(16):2078–2079. https://doi.org/10.1093/bioinformatics/btp352
Liu M et al (2019) Genome-wide developed microsatellites reveal a weak population differentiation in the hoverfly Eupeodes corollae (Diptera: Syrphidae) across China. PloS One 14(9):e0215888. https://doi.org/10.1371/journal.pone.0215888
Lu DB, Wang TP, Rudge JW, Donnelly CA, Fang GR, Webster JP (2009) Evolution in a multi-host parasite: chronobiological circadian rhythm and population genetics of Schistosoma japonicum cercariae indicates contrasting definitive host reservoirs by habitat. Int J Parasitol 39(14):1581–1588. https://doi.org/10.1016/j.ijpara.2009.06.003
Lu DB, Wang TP, Rudge JW, Donnelly CA, Fang GR, Webster JP (2010) Contrasting reservoirs for Schistosoma japonicum between marshland and hilly regions in Anhui, China--a two-year longitudinal parasitological survey. Parasitology 137(1):99–110. https://doi.org/10.1017/S003118200999103x
Lu DB et al (2021) Extended survival and reproductive potential of single-sex male and female Schistosoma japonicum within definitive hosts. Int J Parasitol 51(11):887–891. https://doi.org/10.1016/j.ijpara.2021.03.005
Luo F et al (2019) An improved genome assembly of the fluke Schistosoma japonicum. PLoS Negl Trop Dis 13(8):e0007612. https://doi.org/10.1371/journal.pntd.0007612
Marcais G, Kingsford C (2011) A fast, lock-free approach for efficient parallel counting of occurrences of k-mers. Bioinformatics 27(6):764–770. https://doi.org/10.1093/bioinformatics/btr011
Meglecz E et al (2014) QDD version 3.1: a user-friendly computer program for microsatellite selection and primer design revisited: experimental validation of variables determining genotyping success rate. Mol Ecol Resour 14(6):1302–1313. https://doi.org/10.1111/1755-0998.12271
Nakayama Y, Yamaguchi H, Einaga N, Esumi M (2016) Pitfalls of DNA quantification using DNA-binding fluorescent dyes and suggested solutions. PloS One 11(3):e0150528. https://doi.org/10.1371/journal.pone.0150528
Nikolic N et al (2015) Discovery of genome-wide microsatellite markers in scombridae: a pilot study on Albacore Tuna. PloS One 10(11):e0141830. https://doi.org/10.1371/journal.pone.0141830
Peakall R, Smouse PE (2012) GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update. Bioinformatics 28(19):2537–2539. https://doi.org/10.1093/bioinformatics/bts460
Queiros J, Godinho R, Lopes S, Gortazar C, de la Fuente J, Alves PC (2015) Effect of microsatellite selection on individual and population genetic inferences: an empirical study using cross-specific and species-specific amplifications. Mol Ecol Resour 15(4):747–760. https://doi.org/10.1111/1755-0998.12349
Rollinson D, Webster JP, Webster B, Nyakaana S, Jorgensen A, Stothard JR (2009) Genetic diversity of schistosomes and snails: implications for control. Parasitology 136(13):1801–1811. https://doi.org/10.1017/S0031182009990412
Rudge JW, Webster JP, Lu DB, Wang TP, Fang GR, Basanez MG (2013) Identifying host species driving transmission of schistosomiasis japonica, a multihost parasite system, in China. Proc Natl Acad Sci U S A 110(28):11457–11462. https://doi.org/10.1073/pnas.1221509110
Santonoceto C et al (2019) Morpho-agronomic characterization and genetic variability assessment of a guar germplasm collection by a novel SSR panel. Ind Crop Prod 138. https://doi.org/10.1016/j.indcrop.2019.111568
Shi HP, Lu DB, Shen L, Shi T, Gu J (2014) Single- or mixed-sex Schistosoma japonicum infections of intermediate host snails in hilly areas of Anhui. China Parasitol Res 113(2):717–721. https://doi.org/10.1007/s00436-013-3700-0
Simão FA, Waterhouse RM, Ioannidis P, Kriventseva EV, Zdobnov EM (2015) BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs. Bioinformatics 31(19):3210–3212. https://doi.org/10.1093/bioinformatics/btv351
Shrivastava J et al (2003) Isolation and characterization of polymorphic DNA microsatellite markers from Schistosoma japonicum. Mol Ecol Notes 3(3):406–408. https://doi.org/10.1046/j.1471-8286.2003.00466.x
Shrivastava J, Qian BZ, McVean G, Webster JP (2005) An insight into the genetic variation of Schistosoma japonicum in mainland China using DNA microsatellite markers. Mol Ecol 14(3):839–849. https://doi.org/10.1111/j.1365-294X.2005.02443.x
Song W, Cao LJ, Wang YZ, Li BY, Wei SJ (2017) Novel microsatellite markers for the oriental fruit moth Grapholita molesta (Lepidoptera: Tortricidae) and effects of null alleles on population genetics analyses. Bull Entomol Res 107(3):349–358. https://doi.org/10.1017/S0007485316000936
Spear RC et al (2011) The challenge of effective surveillance in moving from low transmission to elimination of schistosomiasis in China. Int J Parasitol 41(12):1243–1247. https://doi.org/10.1016/j.ijpara.2011.08.002
Tarailo-Graovac M, Chen N (2009) Using RepeatMasker to identify repetitive elements in genomic sequences. Curr Protoc Bioinformatics 4:4.10.1–4.10.14. https://doi.org/10.1002/0471250953.bi0410s25
The Schistosoma japonicum Genome SFA, Consortium (2009) The Schistosoma japonicum genome reveals features of host-parasite interplay. Nature 460(7253):345–351. https://doi.org/10.1038/nature08140
Vurture GW et al (2017) GenomeScope: fast reference-free genome profiling from short reads. Bioinformatics 33(14):2202–2204. https://doi.org/10.1093/bioinformatics/btx153
Wang L, Utzinger J, Zhou XN (2008) Schistosomiasis control: experiences and lessons from China. The Lancet 372(9652):1793–1795. https://doi.org/10.1016/s0140-6736(08)61358-6
Wang LD et al (2009) A strategy to control transmission of Schistosoma japonicum in China. N Engl J Med 360(2):121–128. https://doi.org/10.1056/NEJMoa0800135
Wang YZ, Cao LJ, Zhu JY, Wei SJ (2016) Development and characterization of novel microsatellite markers for the peach fruit moth Carposina sasakii (Lepidoptera: Carposinidae) Using Next-Generation Sequencing. Int J Mol Sci 17(3):362. https://doi.org/10.3390/ijms17030362
Xiao N et al (2011) Polymorphic microsatellites in the human bloodfluke, Schistosoma japonicum, identified using a genomic resource. Parasit Vectors 4(1):13. https://doi.org/10.1186/1756-3305-4-13
Yin M et al (2008) Multiple near-identical genotypes of Schistosoma japonicum can occur in snails and have implications for population-genetic analyses. Int J Parasitol 38(14):1681–1691. https://doi.org/10.1016/j.ijpara.2008.05.015
Zerbino DR, Birney E (2008) Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res 18(5):821–829. https://doi.org/10.1101/gr.074492.107
Zhang LJ et al (2020) Endemic status of schistosomiasis in People’s Republic of China in 2019. Chin J Schisto Control 32(6):551–558. https://doi.org/10.16250/j.32.1374.2020263
Zhou XN (2016) Implementation of precision control to achieve the goal of schistosomiasis elimination in China. Chin J Schisto Control 28(1):1–4. https://doi.org/10.16250/j.32.1374.2016001
Zou HY, Yu QF, Qiu C, Webster JP, Lu DB (2020) Meta-analyses of Schistosoma japonicum infections in wild rodents across China over time indicates a potential challenge to the 2030 elimination targets. PLoS Negl Trop Dis 14(9):e0008652. https://doi.org/10.1371/journal.pntd.0008652
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This research was funded by National Science Foundation of China, grant number 81971957.
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Contributions
Conceptualization: Mengtao Sun and Dabing Lu.
Data curation: Mengtao Sun and Yuheng Cheng.
Formal analysis: Mengtao Sun, Hanqi Peng, Changzhe Gao, and Yuheng Cheng.
Funding acquisition: Da-Bing Lu and Weiling Gu.
Investigation: Mengtao Sun and Yuheng Cheng.
Methodology: Mengtao Sun and Ning Wang.
Project administration: Dabing Lu.
Resources: Mengtao Sun and Weiling Gu.
Software: Mengtao Sun and Yuheng Cheng.
Supervision: Dabing Lu.
Validation: Yuheng Cheng and Changzhe Gao.
Visualization: Hanqi Peng and Ning Wang.
Writing–original draft preparation: Mengtao Sun.
Writing, review, and editing: Mengtao Sun and Dabing Lu.
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All ICR mice were purchased from the laboratory center of Soochow University. The care and use procedures for all experimental animals comply with the Regulations for the Administration of Affairs Concerning Experimental Animals (Ministry of Science and Technology, China, 2004). The Ethical Committee of Soochow University (No. 81971957) approved the research protocols in this study. The study was conducted based on the ARRIVE guidelines. Experiments were conducted in accordance with animal ethics guidelines and approved protocols.
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Supplementary information
ESM 1
S1 Table. Summary of BUSCO results for completeness assessment (using lineage datasets eukaryota_odb10 and metazoa_odb10). (XLS 32 kb)
ESM 2
S2 Table. Number of microsatellites with different motifs. (XLS 43 kb)
ESM 3
S3 Table. Detailed information of all designed primer pairs. (XLS 121 kb)
ESM 4
S4 Table. Chromosome mapping of the 71 microsatellite markers. (XLS 59 kb)
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Sun, M., Cheng, Y., Gao, C. et al. Construction and characterization of microsatellite markers for the Schistosoma japonicum isolate from a hilly area of China based on whole genome sequencing. Parasitol Res 122, 2737–2748 (2023). https://doi.org/10.1007/s00436-023-07976-3
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DOI: https://doi.org/10.1007/s00436-023-07976-3