Phylogenetic and phylodynamic analysis of a classical swine fever virus outbreak in Japan (2018-2020)

被引:13
作者
Sawai, Kotaro [1 ]
Nishi, Tatsuya [2 ]
Fukai, Katsuhiko [2 ]
Kato, Tomoko [2 ]
Hayama, Yoko [1 ]
Yamamoto, Takehisa [1 ]
机构
[1] Natl Agr & Food Res Org, Epidemiol Unit, Viral Dis & Epidemiol Res Div, Natl Inst Anim Hlth, 3-1-5 Kannondai, Tsukuba, Ibaraki 3050856, Japan
[2] Natl Agr & Food Res Org, Exot Dis Res Stn, Div Transboundary Anim Dis, Natl Inst Anim Hlth, Kodaira, Tokyo, Japan
关键词
BEAST; classical swine fever (CSF); Japan; most recent common ancestor; phylogenetic analysis; phylogeographic analysis; MODEL; VISUALIZATION; PERFORMANCE; EVOLUTION; HISTORY;
D O I
10.1111/tbed.14117
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
After 26 years, another classical swine fever virus (CSFV) outbreak in domestic pigs and wild boars occurred in Japan 2018. Herein, we investigated the entry and the spatial dynamics of the CSFV outbreak in Japan using the nearly complete genomes of strains isolated from both wild boars and domestic pigs during this epidemic. Phylogenetic analysis showed that the most recent common ancestor (MRCA) of the Japanese lineage emerged 146 days (95% highest posterior density (HPD): 85-216 days) before the index case was detected. Based on epidemiological analysis, the period for the 95% HPD was 1 month earlier than the time of virus introduction into the index farm. The disease mainly spreads to the adjoining regions during the epidemic, with no spread to the nonadjacent regions. This result indicates that human activities, such as the movement of vehicles, contributed to the infection spread. As cases occurred in nonadjacent regions, the MRCA for the epidemic in the Saitama prefecture was estimated to have emerged 93 days before the date of detection in the initial farm in this region. Similarly, the MRCA for the epidemic in Okinawa prefecture, more than 1,300 km away from the other infected regions, was estimated to have emerged 34 days before the date of detection in the region's primary farm. Therefore, our results indicate that if exotic diseases emerge after a long period of absence or in a disease-free country, a longer period of time will elapse before detection, resulting in further spread. Additionally, subsequent infections occurring in regions distant from the original infected region will require less time for detection than in the original region. This study provides valuable insights into a CSFV outbreak that occurred in a previously CSFV-free country and thus beneficial in enhancing producers' awareness and allow for better preparation for infections.
引用
收藏
页码:1529 / 1538
页数:10
相关论文
共 40 条
  • [21] MAFF, 2020, 12 EP INV REP OV CLA
  • [22] MAFF, 2019, 10 EP INV REP OV CLA
  • [23] RDP4: Detection and analysis of recombination patterns in virus genomes
    Martin, Darren P.
    Murrell, Ben
    Golden, Michael
    Khoosal, Arjun
    Muhire, Brejnev
    [J]. VIRUS EVOLUTION, 2015, 1 (01)
  • [24] Zika virus evolution and spread in the Americas
    Metsky, Hayden C.
    Matranga, Christian B.
    Wohl, Shirlee
    Schaffner, Stephen F.
    Freije, Catherine A.
    Winnicki, Sarah M.
    West, Kendra
    Qu, James
    Baniecki, Mary Lynn
    Gladden-Young, Adrianne
    Lin, Aaron E.
    Tomkins-Tinch, Christopher H.
    Ye, Simon H.
    Park, Daniel J.
    Luo, Cynthia Y.
    Barnes, Kayla G.
    Shah, Rickey R.
    Chak, Bridget
    Barbosa-Lima, Giselle
    Delatorre, Edson
    Vieira, Yasmine R.
    Paul, Lauren M.
    Tan, Amanda L.
    Barcellona, Carolyn M.
    Porcelli, Mario C.
    Vasquez, Chalmers
    Cannons, Andrew C.
    Cone, Marshall R.
    Hogan, Kelly N.
    Kopp, Edgar W.
    Anzinger, Joshua J.
    Garcia, Kimberly F.
    Parham, Leda A.
    Gelvez Ramirez, Rosa M.
    Miranda Montoya, Maria C.
    Rojas, Diana P.
    Brown, Catherine M.
    Hennigan, Scott
    Sabina, Brandon
    Scotland, Sarah
    Gangavarapu, Karthik
    Grubaugh, Nathan D.
    Oliveira, Glenn
    Robles-Sikisaka, Refugio
    Rambaut, Andrew
    Gehrke, Lee
    Smole, Sandra
    Halloran, M. Elizabeth
    Villar, Luis
    Mattar, Salim
    [J]. NATURE, 2017, 546 (7658) : 411 - +
  • [25] Meyers G, 1996, ADV VIRUS RES, V47, P53, DOI 10.1016/S0065-3527(08)60734-4
  • [26] IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies
    Lam-Tung Nguyen
    Schmidt, Heiko A.
    von Haeseler, Arndt
    Bui Quang Minh
    [J]. MOLECULAR BIOLOGY AND EVOLUTION, 2015, 32 (01) : 268 - 274
  • [27] Nishi T, 2019, MICROBIOL RESOUR ANN, V8, DOI [10.1128/MRA.01362-18, 10.1128/mra.01362-18]
  • [28] Genetic typing of classical swine fever virus
    Paton, DJ
    McGoldrick, A
    Greiser-Wilke, I
    Parchariyanon, S
    Song, JY
    Liou, PP
    Stadejek, T
    Lowings, JP
    Björklund, H
    Belák, S
    [J]. VETERINARY MICROBIOLOGY, 2000, 73 (2-3) : 137 - 157
  • [29] Selecting the best-fit model of nucleotide substitution
    Posada, D
    Crandall, KA
    [J]. SYSTEMATIC BIOLOGY, 2001, 50 (04) : 580 - 601
  • [30] Reemergence of Classical Swine Fever, Japan, 2018
    Postel, Alexander
    Nishi, Tatsuya
    Kameyama, Ken-ichiro
    Meyer, Denise
    Suckstorff, Oliver
    Fukai, Katsuhiko
    Becher, Paul
    [J]. EMERGING INFECTIOUS DISEASES, 2019, 25 (06) : 1228 - 1231