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用于储存病毒系统发育树相关的代码和数据

一组:2019-nCoV 系统发育分析与微进化研究

数据来源:

基因组序列数据库:

GISAID: Global Initiative on Sharing Avian Influenza Database

NCBI: National Center for Biotechnology Information

National Microbiological Data Center (accession number NMDC10013002 and genome accession numbers NMDC60013002-01 to NMDC60013002-10)

China National GeneBank (accession numbers CNA0007332–35)

软件工具:

序列比对

BLAST

构建进化树

Lasergene 7.0

MEGA 6.0

PHYLIP

评估分子进化率

BEAST

FUBAR: fast-unconstrained Bayesian approximation

研究方案

1.基因组序列下载

Name Source Database (ID) Sequence Length Download URL
SARS-CoV Human GenBank (NC_004718)
bat-SL-CoVZC45 Bat GenBank (MG772933)
bat-SL-CoVZXC21 Bat GenBank (MG772934)
2019-nCoV Human
SHC014

建议包含蝙蝠、猪、穿山甲、水貂、猴子源的冠状病毒,建议包含人工合成的 SHC014 重组病毒全基因组序列

2.序列比对构建进化树

序列比对

  • 全基因组比对
  • 同源基因比对
  • 非编码区域比对

选取最优模型

构建进化树

  • 最大简约法(Maximum Parsimony, MP)
  • 最大似然法(Maximum Likelihood, ML)
  • 贝叶斯推断法(Bayesian Inference, BI)

3. 推测变异时间

参考文献:

  1. The 2019-new coronavirus epidemic: evidence for virus evolution
  2. Evolution and variation of 2019-novel coronavirus
  3. Discovery of a rich gene pool of bat SARS-related coronaviruses provides new insights into the origin of SARS coronavirus
  4. Genomic characterisation and epidemiology of 2019 novel coronavirus: Implications for virus origins and receptor binding
  5. Discovery of a novel coronavirus associated with the recent pneumonia outbreak in humans and its potential bat origin

==请各组组长补充详细步骤,也请同学们先阅读文献,尝试重复文献工作==

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