Genetic differentiation between sexes of and development of a sex identification method for <i>Angiostrongylus cantonensis</i> based on whole-genome sequencing

CHINESE JOURNAL OF PARASITOLOGY AND PARASITIC DISEASES ›› 2026, Vol. 44 ›› Issue (4): 493-499.doi: 10.12140/j.issn.1000-7423.2026.04.005

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Genetic differentiation between sexes of and development of a sex identification method for Angiostrongylus cantonensis based on whole-genome sequencing

WANG Kun1,2,3(), CHEN Shenbo2, SHEN Haimo2, GUO Yunhai2,3, HONG Yang2,3, WU Xiaonen3, GAO Mingfei3, CHEN Junhu1,2,3,*()()   

  1. 1 School of Public Health, Hangzhou Medical College, Hangzhou 310013, Zhejiang, China
    2 National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; NHC Key Laboratory of Parasite and Vector Biology; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
    3 Hainan Provincial Center for Disease Control and Prevention, Haikou 571199, Hainan, China
  • Received:2026-03-17 Revised:2026-05-21 Online:2026-08-30 Published:2026-05-26
  • Contact: * E-mail: chenjh@nipd.chinacdc.cn
  • Supported by:
    Key R&D Program of Hainan Province(ZDYF2024SHFZ083)

Abstract:

Objective To investigate the genome-wide genetic differentiation between male and female Angiostrongylus cantonensis populations based on whole-genome sequencing, establish a gender inference method for unknown samples, and explore the functional characteristics of potential sex-related genomic regions. Methods A total of 20 adult worms of morphologically identified A. cantonensis were obtained, including 10 males and 10 females. Whole-genome sequencing of adult worms was performed, and single nucleotide polymorphism (SNP) data were subjected to principal component analysis, population structure analysis, nucleotide diversity (π) analysis, and population differentiation index (F_ST) analysis. Candidate X-linked assembly sequences were screened through the difference in sequencing coverage between males and females, and candidate genes in sex-related regions were subjected to functional annotation and gene ontology (GO) enrichment analysis to decipher their potential biological functions. A gender determination threshold was defined by the ratio of the average sequencing depth of X-linked assembly sequences to the average sequencing depth of autosomal regions (X/A). The inference strategy was tested using a training set and a validation set (10 samples each), and the effectiveness was evaluated using machine learning tools. Results Whole-genome analysis revealed no stable gender clustering of male and female worms, with similar overall genetic diversity, consistent changing trends of π values, and similar overall fluctuation range. The average whole-genome F_ST was -0.005 8, and the weighted F_ST was -0.002 7, both approaching to 0. A few windows exhibited significantly increased F_ST values, with multiple extreme high values reaching up to 1.0. Based on coverage analysis screening, 2 631 candidate X-linked assembly sequences with coverage ratios ranging from 0.4 to 0.6 were yielded. The significantly enriched entries in candidate genes involved processes such as chromatin structure regulation, nucleosome assembly, and DNA helicase activity regulation, and the enriched entries shared linker histone H1 family proteins such as H1FOO and H1F0. In the training set, the average X/A ratios of female and male samples were 1.808 ± 0.090 (range, 1.659 to 1.879) and 0.977 ± 0.078 (range, 0.879 to 1.080), with a significant deviation in the distribution intervals, and an X/A coverage ratio of 1.4 was defined as a gender determination indicator. In the validation set, the X/A ratios of female samples were all above the threshold (mean, 1.852 ± 0.047; range, 1.809 to 1.924), while the ratios of male samples were all below the threshold (mean, 1.137 ± 0.073; range, 1.042 to 1.217). Among the 20 samples, the X/A ratio of female samples was higher than that of male samples (t = 18.582, P < 0.01). The classification results using machine learning tools further supported that the X/A coverage ratio had a high stability and accuracy for sex identification. Conclusion Male and female A. cantonensis populations show no remarkable genetic differentiation at a whole-genome level, and the X/A coverage ratio-based approach is stable for sex identification. Chromatin regulation-related genes enriched in candidate sex-related regions suggest their potential involvement in sex-related chromosome structure formation and epigenetic regulation.

Key words: Angiostrongylus cantonensis, Whole-genome sequencing, Gender inference, Population genetics

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