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2018-2020年上海市登革1型病毒全基因组序列特征研究 被引量:2
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作者 王葳 牟嘉斌 +3 位作者 王环茹 房方皓 朱奕奕 滕峥 《中国人兽共患病学报》 CAS CSCD 北大核心 2022年第6期507-514,共8页
目的研究2018-2020年上海市本地感染及输入性来源登革1型病毒(Dengue Serotype 1virus,DENV-1)分离株全基因组序列特征。方法收集登革热疑似病例血清样本,对DENV-1阳性样本进行病毒分离、全基因组扩增与测序,进一步通过构建进化树对全... 目的研究2018-2020年上海市本地感染及输入性来源登革1型病毒(Dengue Serotype 1virus,DENV-1)分离株全基因组序列特征。方法收集登革热疑似病例血清样本,对DENV-1阳性样本进行病毒分离、全基因组扩增与测序,进一步通过构建进化树对全基因组序列进行同源性分析、核苷酸序列及氨基酸序列相似性分析、编码蛋白氨基酸位点差异分析。结果从88份DENV-1阳性样本中获得31株分离株的全基因组核苷酸序列,其中3株为本地感染病例来源,28株为输入病例来源。进化分析显示,28株分离株的基因型为G-I型,与G-I型参考序列的核苷酸(氨基酸)相似性均值为96.47%~97.37%(98.78%~99.16%);3株分离株的基因型为G-IV型,与G-IV型参考序列的核苷酸(氨基酸)相似性均值为96.66%~96.86%(99.01%~99.26%);3株本地感染病例来源分离株均为G-I型,根据同源性分析,存在输入性病例引起本地感染可能。分离株与对照株比较各结构蛋白与非结构蛋白氨基酸位点均存在差异,其中E蛋白的495个氨基酸位点中,有31个位点存在差异。结论2018-2020年上海市DENV-1包含G-I与G-IV两种基因型,以G-I型为主;首次分离得到3株上海市本地感染病例来源DENV-1,为G-I型,存在输入性病例引起本地感染可能。 展开更多
关键词 登革热 登革1型病毒 全基因组测序 同源性分析 氨基酸位点分析
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A study of the spatiotemporal evolution and the driving factors of A-level tourism attractions in Qiandongnan Prefecture, China
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作者 wang huan-ru LUO Yong-chang SHANG Hai-long 《Ecological Economy》 2021年第2期126-136,共11页
The spatial structure of scenic spots to a certain extent determines the spatial pattern of tourism over an entire region.This study examined the spatiotemporal evolution of A-level tourist attractions of Qiandongnan ... The spatial structure of scenic spots to a certain extent determines the spatial pattern of tourism over an entire region.This study examined the spatiotemporal evolution of A-level tourist attractions of Qiandongnan Prefecture during 2012,2015 and 2018 using GIS spatial analysis methods such as the nearest-neighbor index,kernel density,standard deviation ellipse and geographically weighted regression.The results indicated continuous growth of tourist attractions in Qiandongnan Prefecture in 2012–2018,which could be divided into three growth stages,namely low,stable and rapid.Although tourist attractions were clustered,the degree of clustering declined with an unbalanced spatial distribution,mainly concentrated in areas around the city and areas with high tourism value.The area of highest density of tourist attractions shifted from northwest to southeast.Based on these results,resource availability,social and economic conditions,traffic accessibility and policy factors were identified as the main factors influencing the spatiotemporal differentiation of scenic spots in Qiandongnan Prefecture. 展开更多
关键词 tourist scenic spots spatial structure EVOLUTION influencing factors
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