Evidence map›Paper›PMID 41535912›Full record

ArticleInfectious diseases of poverty2026

Invasive patterns of Biomphalaria straminea revealed by genetic mapping in the Greater Bay Area, China.

Yue Hu, Hui Huang, Min-Yu Zhou, Yun-Fei Zhou, Hai-Mo Shen, Jun-Hu Chen, Zhi-Yue Lv

Abstract read
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Article in Infectious diseases of poverty, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yue HuKey Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong, China. huyue73@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0003-2783-7751
Hui HuangKey Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong, China.
Min-Yu ZhouKey Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong, China.
Yun-Fei ZhouNHC Key Laboratory of Tropical Disease Control, Hainan Medical University, Haikou, Hainan, China.
Hai-Mo ShenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission of the People's Republic of China (NHC) Key Laboratory of Parasite and Vector Biology, World Health Organization (WHO) Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, China.
Jun-Hu ChenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission of the People's Republic of China (NHC) Key Laboratory of Parasite and Vector Biology, World Health Organization (WHO) Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, China. chenjh@nipd.chinacdc.cn.
Zhi-Yue LvKey Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong, China. lvzhiyue@mail.sysu.edu.cn.

Funding

Fundamental Research Funds for the Central Universities, Sun Yat-sen University 22qntd4804Key Research and Development Program of Hainan Province ZDYF2020120Major Science and Technology Program of Hainan Province ZDKJ202003Major Science and Technology Program of Hainan Province ZDKJ2021035National Key Research and Development Program of China 2016YFC1202003National Key Research and Development Program of China 2021YFC2300800National Key Research and Development Program of China 2021YFC2300801National Natural Science Foundation of China 82072303National Sharing Service Platform for Parasite Resources TDRC-2019-194-30Open Foundation of Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University 2020TTM007Open Foundation of NHC Key Laboratory of Tropical Disease Control, Hainan Medical University 2022NHCTDCKFKT11003Specific Research Fund of the Innovation Platform for Academicians of Hainan Province YSPTZX202133
6 · The paper itself

Abstract

backgroundBiomphalaria straminea, an intermediate host of Schistosoma mansoni, is originally native to Brazil but has invaded southern China since 1974. Nowadays, increasing human mobility raises the risk of S. mansoni dissemination. Therefore, this study aims to elucidate the genetic variation and structure of B. straminea in China and develop molecular tools for tracing its geographic origins, which could aid in schistosomiasis prevention and control.

methodsWe collected 290 B. straminea individuals from Shenzhen City (GDSZ, n = 171), Dongguan City (GDDG, n = 65), and Hong Kong (HK, n = 54). Double digest restriction associated DNA (ddRAD) sequencing was applied to genotype the samples. A subset of single nucleotide polymorphisms (SNPs) was validated by the Sequenom MassARRAY iPLEX assay. The MaxEnt model was employed to predict suitable habitats for B. straminea in China under current and future climate conditions.

resultsAnalysis of ddRAD sequencing data led to the identification of 80 high-confidence SNPs. B. straminea from GDSZ exhibited higher genetic diversity than those from other locations. The total observed heterozygosity (Ho = 0.35) was higher than the total expected heterozygosity (He = 0.26), resulting in a negative inbreeding coefficient (Fis = - 0.35), indicating that outbreeding has dominated the recent genetic history of B. straminea. Pairwise genetic distance (Fst < 0.05) and number of effective migrants (Nm > 4) indicated low genetic differentiation. The populations in GDSZ, GDDG and HK were genetically similar, with the first two being more closely related. Three high-quality SNPs displayed distinct geographical population specificity and could serve as geographically specific SNP markers. The MaxEnt model predicted an expansion of suitable habitats for B. straminea in China under future climate conditions. High invasion risk in Hainan Province, Guangxi Zhuang Autonomous Region, and Taiwan Province warrants attention.

conclusionsThis study provides the first genome-wide insights into the population structure and genetic diversity of B. straminea in China. The populations are genetically similar, suggesting a common invasion source. Applying the geographically specific SNPs could enable rapid prediction of the geographic origin of B. straminea in future invasion events. Future climate conditions are likely to facilitate the spread of B. straminea, increasing the risk of schistosomiasis transmission in China.

Indexed as

BiomphalariaAnimalsChinaChromosome MappingGenetic VariationGenotypePolymorphism, Single NucleotideBiomphalaria stramineaDouble digest restriction associated DNA sequencingInvasion riskIPLEX assayMaxEnt modelPopulation geneticsSingle nucleotide polymorphism

Identifiers

PMID41535912
PMCPMC12805737

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