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Strain name Origin Year Month No. GenBank gC gB gD gE ANHUI-1 China: Anhui 2018 Janurary MK922082 MK922098 MK610394 MK610413 ANHUI-2 China: Anhui 2018 Janurary MK922083 MK922099 MK610395 MK610414 ANHUI-3 China: Anhui 2018 March MK922084 MK922100 MK610396 – ANHUI-4 China: Anhui 2018 April MK922085 MK922101 MK610397 – ANHUI-5 China: Anhui 2018 April MK922086 MK922102 – – Anhui-CZ33 China: Anhui 2017 Janurary MK934521 MK922119 – MK934522 Anhui-BB11 China: Anhui 2017 Janurary MK922079 MK922120 – – Anhui-ZJ1 China: Anhui 2018 October – MK922121 – – FJ-1620 China: Fujian 2018 April – MK922103 MK610398 MK610415 FJ-2125 China: Fujian 2018 April – MK922104 MK610399 MK610416 FJ-5 China: Fujian 2018 May MK922087 MK922105 MK610400 MK610417 FJ-Z1 China: Fujian 2018 May MK922088 MK922106 MK610401 MK610418 FJ-Y21 China: Fujian 2018 May – MK922107 MK610402 MK610419 FJ-N1 China: Fujian 2018 May MK922089 MK922108 MK610403 MK610420 FJ-N2 China: Fujian 2018 May MK922081 MK922109 MK610404 MK610421 FJ-N3 China: Fujian 2018 May MK922090 MK922110 MK610405 MK610422 FJ-N4 China: Fujian 2018 May MK922091 MK922111 MK610406 MK610423 FJ-W2 China: Fujian 2018 May – MK922112 MK610407 MK610424 FJ-ZXF China: Fujian 2018 July MK922080 MK922113 MK610408 MK610425 FJ-YXJSJ1 China: Fujian 2019 Janurary MK922092 MK922116 MK610409 MK610428 FJ-YXJSJ2 China: Fujian 2019 Janurary MK922093 MK922117 MK610410 MK610429 FJ-YY China: Fujian 2019 Janurary MK922094 MK922118 MK610411 MK610430 FJ-QYQ3 China: Fujian 2019 Janurary MK922096 – MK610412 – FJ-QYQ4 China: Fujian 2019 Janurary MK922097 – – – FJ-QYQ2 China: Fujian 2019 Janurary MK922095 – – – FJ-SHS1 China: Fujian 2019 Janurary – MK922114 – MK610426 FJ-GSG5 China: Fujian 2019 Janurary – MK922115 – MK610427 Table 1. Sequence information of strains isolated in this study.
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Statistic Observed mean Lower 95% CI Upper 95% CI Nulsl mean Lower 95% CI Upper 95% CI Significance AI 13.08 11.37 14.72 28.24 27.39 28.93 0.00 PS 102.28 98.00 107.00 201.63 198.27 204.85 0.00 MC Eastern China 11.06 11.00 12.00 1.74 1.48 2.09 0.01 MC USA 2.03 2.00 2.00 1.06 1.00 1.15 0.01 MC Brazil 3.52 2.00 6.00 1.37 1.14 1.94 0.01 MC Hungary 2.14 2.00 3.00 1.04 1.00 1.14 0.01 MC China 6.65 3.00 10.00 2.44 2.21 3.02 0.01 MC Malaysia 1 1.00 1.00 1.00 1.00 1.00 1.00 MC Spain 4.26 2.00 7.00 1.06 1.00 1.17 0.01 MC Germany 3.06 2.00 5.00 1.17 1.03 1.40 0.01 MC Slovakia 2.07 2.00 3.00 1.02 1.00 1.06 0.02 MC Italy 7.55 4.00 13.00 2.13 1.85 2.71 0.01 MC Argentina 2.9 1.00 5.00 1.09 1.00 1.31 0.01 MC Austria 1.8 1.00 2.00 1.01 1.00 1.03 0.01 MC Croatia 5.47 3.00 7.00 1.05 1.00 1.13 0.01 MC Belgium 1.47 1.00 3.00 1.09 1.00 1.29 1.00 MC Central China 1.45 1.00 2.00 1.20 1.06 1.39 1.00 MC North China 1.52 1.00 2.00 1.00 1.00 1.01 0.01 MC Western China 1.01 1.00 1.00 1.00 1.00 1.01 1.00 MC Greece 1.37 1.00 2.00 1.00 1.00 1.01 1.00 MC South China 3.03 3.00 4.00 1.56 1.32 2.02 0.01 MC United Kingdom 1 1.00 1.00 1.00 1.00 1.00 1.00 Bold number remind the difference in geographic associations significantly.
AI association index, PS parsimony score, MC monophyletic clade.Table 2. Geographical correlation analysis of PRV based on gC.
Figure 5 个
Table 2 个
