exists widely in aquatic environments throughout the world. It is highly pathogenic and infection with this bacterium entails extremely high mortality. To facilitate the prevention and treatment of the diseases caused by AH10 (CCTCC AB2014155), to fully understand its information structure and functions and to provide a basis for future molecular pathology research. Genomic DNA was extracted from strain AH10, and a library was constructed and sequenced. The raw data were filtered and their quality was assessed, the sequence was assembled, and the genome was annotated and analyzed comparatively. The full-length genome of strain AH10 is 4.91 Mb, with a G+C content of 61.1%, and encodes 4570 predicted genes, including 3351 genes with a clear biological function, 2592 genes found in the Clusters of Orthologous Groups (COG) database, 1281 genes related to metabolic pathways, and 31 genomic islands. The study of comparative genomics showed that AH10 has 102481 single-nucleotide polymorphisms (SNPs), 402 insertions/deletions, and a linear genomic organization most similar to ATCC7966, the standard strain in the USA. The pathogenicity of AH10 is closely associated with the hemolysin gene (), serine protease gene (). These genes are highly homologous in different strains. Autoinducer-2 (AI-2) quorum sensing (QS) and AhyI/ QS are found in AH10, but there is no type Ⅲ secretion system (TTSS). With a comparative analysis, we demonstrate the specificity of the A10 genomic structure, its SNPs, and the pathogenic system differences in different strain. Our analysis not only provides a guide to distinguishing the specificities of different species, but also a reference for the analysis of the genomic information of genome has accelerated related studies of its pathogenicity. Identifying the causes of disease requires that the accuracy of their clinical diagnosis be effectively improved. This, in turn, will offer clues to their pathogenic mechanisms in humans. The study of genome also provides the foundation to the research of proteomics. According to the specific functional areas of protein conservative sequences, setting up a corresponding protein database can help to quickly find the protein function area. In this way, we can not only study the cell wall composition and the functions of the membrane proteins and secreted proteins of , but can also predict the functions of related proteins based on genomic information. This research provides unlimited opportunities for the development of new drugs that not only effectively avoid the generation of drug resistance, but also circumvent the abuse of antibiotics, thus providing people with a healthy environment. Studies of the genome should also promote vaccine research. With the comparison of homologous sequences, effective antigen can be rapidly identified and vaccines prepared, efficiently reducing the incidence of disease. Genomic information has potentially wide applications, and its use in the prevention and treatment of the diseases caused by will continue to increase.