Xin Gao; Wei Zhang; Guangwen Liu; Wen Li; Aiping Yu; Yuan Wang; Xiaoqing Fan; Xiaohui Lu; Xuan Chen; Xiaoyan Li; Xin Gao; Wei Zhang; Guangwen Liu; Wen Li; Aiping Yu; Yuan Wang; Xiaoqing Fan; Xiaohui Lu; Xuan Chen; Xiaoyan Li

doi:10.46234/ccdcw2025.067

[1]

Franc KA, Krecek RC, Häsler BN, Arenas-Gamboa AM. Brucellosis remains a neglected disease in the developing world: a call for interdisciplinary action. BMC Public Health 2018;18(1):125. https://doi.org/10.1186/s12889-017-5016-y.

[2]

Suárez-Esquivel M, Chaves-Olarte E, Moreno E, Guzmán-Verri C. Brucella genomics: macro and micro evolution. Int J Mol Sci 2020;21(20):7749. https://doi.org/10.3390/ijms21207749.

[3]

An CH, Nie SM, Luo BY, Zhou DJ, Wang WJ, Sun YX, et al. Multiple Brucella melitensis lineages are driving the human brucellosis epidemic in Shaanxi Province, China: evidence from whole genome sequencing-based analysis. Front Cell Infect Microbiol 2024;14:1452143. https://doi.org/10.3389/fcimb.2024.1452143.

[4]

Qureshi KA, Parvez A, Fahmy NA, Abdel Hady BH, Kumar S, Ganguly A, et al. Brucellosis: epidemiology, pathogenesis, diagnosis and treatment-a comprehensive review. Ann Med 2023;55(2):2295398. https://doi.org/10.1080/07853890.2023.2295398.

[5]

Abd Eltawab A, El-Hofy F, Hamdy M, Moustafa S, Soliman E, Ahmed W, et al. Isolation and molecular identification of Brucella spp. in bovine herds kept at householders in the Delta region of Egypt by MALDI-TOF and AMOS-PCR. Vet Ital 2020;56(4):297 − 300. https://doi.org/10.12834/VetIt.1980.10596.3.

[6]

Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 2012;19(5):455 − 77. https://doi.org/10.1089/cmb.2012.0021.

[7]

CNCB-NGDC Members and Partners. Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2024. Nucleic Acids Res 2024;52(D1):D18 − 32. https://doi.org/10.1093/nar/gkad1078.

[8]

Kozlov AM, Darriba D, Flouri T, Morel B, Stamatakis A. RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference. Bioinformatics 2019;35(21):4453 − 5. https://doi.org/10.1093/bioinformatics/btz305.

[9]

Xu SB, Li L, Luo X, Chen MJ, Tang WL, Zhan L, et al. Ggtree: a serialized data object for visualization of a phylogenetic tree and annotation data. iMeta 2022;1(4):e56. https://doi.org/10.1002/imt2.56.

[10]

Lounes N, Yahiaoui D, Taftaf D, Zenia S. A survey on the occupational exposure of veterinarians to brucellosis in Algeria. Ger J Microbiol 2022;2(2):28 − 35. https://doi.org/10.51585/gjm.2022.2.0017.