International Journal of Molecular Zoology, 2025, Vol.15, No.2, 58-68 http://animalscipublisher.com/index.php/ijmz 64 show that A. immaculata has A significant advantage in the wild population size, accounting for 70.64% of all samples, and its average shell length (76.00 mm) and maximum shell length (135.83 mm) are significantly larger than those of A. fulica (56.57 mm, 80.18 mm) (Figure 3). The two have similar dietary preferences, but the average daily food intake of A. immaculata is 2.32 times that of A. fulica, demonstrating A stronger resource consumption capacity. Environmental adaptability tests show that A. immaculata recovers 1.92 times faster than A. fulica under low-temperature stress, and enters dormancy more slowly and remains active for A longer time under drought conditions. These characteristics mean that it not only has an advantage in competition within the same domain, but may also accelerate the replacement of A. fulica as the dominant invasive species, posing A greater threat to agricultural and forestry production and ecological security. Figure 3 (a) Phylogenetic tree construction using MEGA software (the size of the black circles indicates the support values). (b) Comparison of the morphologies of the four species (Adopted from Zhang et al., 2024) 7 Technological Progress and Genomic Applications 7.1 Advances in molluscan genomics and SV detection Third-generation sequencing technologies (such as long-read sequencing) have revolutionized the way invertebrate genomes are assembled by analyzing structurally complex gene loci and generating notch-free chromosomal assemblies (Yang et al., 2020; Laufer et al., 2023). These advancements are of great significance to mollusk genomics. They not only greatly enhance the resolution of genomic structure and evolution research, but also promote the detection of structural variations (SV) (Yang et al., 2020). Optical mapping technology has become a powerful tool for constructing highly continuous genomic assembly and accurately identifying large-scale SV (Yuan et al., 2020; Neveling et al., 2021). This technology complements sequencing methods, capable of resolving complex rearrangement events and enhancing the accuracy of genomic structure analysis, which is of great significance for functional genomics and comparative genomics research in mollusks. 7.2 Integrative omics for trait association The fusion omics method, which combines SV detection with transcriptome analysis, can establish associations between structural variations and changes in gene expression and phenotypic traits (Franzosa et al., 2015; Chang et al., 2023). Multi-omics platforms and databases (like MolluscDB) provide support for exploring gene
RkJQdWJsaXNoZXIy MjQ4ODYzNA==