Page 52 - Demo
P. 52
%u57f7%u884c%u60c5%u5f62%uff1a1. %u63a1%u96c6%u91ce%u5916%u65cf%u7fa4%u6a23%u672c%u30022. %u8403%u53d6 DNA%uff0c%u8a2d%u8a08 primer %u589e%u5e45%u76ee%u6a19%u7247%u6bb5%u30023. %u9001%u5b9a%u5e8f%u516c%u53f8%u9032%u884c%u76ee%u6a19%u7247%u6bb5 DNA %u5b9a%u5e8f%u30024. %u9032%u884c DNA %u5b9a%u5e8f%u5e8f%u5217%u6574%u7406%u8207%u5206%u6790%u3002%u8fa6%u7406%u60c5%u5f62%uff1a1. %u9032%u884c%u7814%u7a76%u6a23%u672c%u63a1%u96c6%uff0c%u4ee5 95% %u9152%u7cbe%u6d78%u6ce1%uff0c%u9032%u5165%u5be6%u9a57%u5ba4%u4ee5 -20%u2103%u51b7%u51cd%u4fdd%u5b58%u6a23%u672c%u30022. %u4ee5 Genomic DNA Purification Kit %u8403%u53d6 DNA%uff0c%u4e26%u4ee5%u7c92%u7dda%u9ad4 cytb %u57fa%u56e0%u5340%u6bb5%u9032%u884c%u57fa%u56e0%u589e%u5e45 (PCR)%u30023. %u5e8f%u5217%u7d93 Clustal X 1.81 %u8edf %u9ad4 %u6bd4 %u5c0d %u6392 %u5217%uff0c %u4e26 %u7d93 %u904e %u4eba %u5de5 %u6aa2 %u67e5%u3002 %u5229 %u7528 MEGA-X %u5206%u5225%u69cb%u7bc9 Maximum Likelihood %u9032%u884c%u7cfb%u7d71%u767c%u80b2%u5206%u6790%uff0cBootstrapping %u5206%u6790%u70ba 1000 %u91cd%u8907%u30024. %u4ee5 DnaSP 4.10.8 %u8edf%u9ad4%u5206%u6790%u65cf%u7fa4%u5167%u7684%u907a%u50b3%u591a%u6a23%u6027%uff0c%u5982%u55ae%u578b%u591a%u6a23%u6027 h (haplotype diversity) %u53ca%u6838%u7518%u9178%u591a%u6a23%u6027 %u03b8%u03c0%uff08nucleotide diversity%uff09%u3002%u4e26%u5206%u6790%u65cf%u7fa4%u9593%u7684%u907a%u50b3%u5206%u5316%u6307%u6578 FST %u3002%u5229%u7528 Arlequin version 3.5%u8edf%u9ad4%u69cb%u7bc9%u55ae%u578b%u7db2%u72c0%u95dc%u4fc2%u5716%uff08haplotype network%uff09%u3002%u6700%u5f8c%u4ee5 DIYABC v.2.0 %u8edf%u9ad4%uff0c%u4f86%u5206%u6790%u6bd4%u8f03%u4e0d%u540c%u7684%u6b77%u53f2%u904e%u7a0b%uff0c%u5305%u62ec%u65cf%u7fa4%u5206%u6b67%u6642%u9593%u3001%u6df7%u5408%u53ca%u65cf%u7fa4%u91cf%u8b8a%u5316%u7b49%u907a%u50b3%u7d50%u69cb%u5206%u6790%u3002%u6210%u679c%u5831%u544a%uff1a1. %u672c%u7814%u7a76%u5206%u6790%u5171 206 %u500b%u6a23%u672c%uff0c%u5b9a%u5e8f%u5176%u7c92%u7dda%u9ad4 DNA %u4e2d%u7684 cytb %u57fa%u56e0%uff0c%u5171 1,141 base pairs%uff0c206 %u500b%u6a23%u672c%u5171%u6709 101 %u500b%u55ae%u500d%u578b%uff08haplotype%uff09%uff0c%u5e8f%u5217%u6bd4%u5c0d%u7d50%u679c%u4e26%u7121%u63d2%u5165%u7f3a%u5931%u5e8f%u5217%u3002%u55ae%u500d%u578b%u591a%u6a23%u6027%u7684%u7bc4%u570d%u662f%u5f9e0.875%uff08%u65cf%u7fa4 JU%uff09%u5230 0.969%uff08%u65cf%u7fa4 PH%uff09%u3002%u6838%u82f7%u9178%u591a%u6a23%u6027%u7684%u7bc4%u570d%u662f%u5f9e 0.0036%uff08%u65cf%u7fa4 JU%uff09%u5230 0.0054%uff08%u65cf%u7fa4 TK %u548c MA%uff09%u3002%u5728 101 %u500b%u55ae%u500d%u578b%u4e2d%uff0c%u6709 13 %u500b%u65cf%u7fa4%u5171%u4eab%u55ae%u500d%u578b%uff0cPH %u5177%u6709%u6700%u591a%u5171%u4eab%u55ae%u500d%u578b%uff08%u4e5d%u500b%u55ae%u500d%u578b%uff09%u3002%u65cf%u7fa4 KM %u5177%u6709%u6700%u9ad8%u7684%u5171%u4eab%u55ae%u500d%u578b%u983b%u7387%u30022. %u5728%u7cfb%u7d71%u767c%u80b2%u5206%u6790%u4e2d%u4e4b%u89aa%u7de3%u95dc%u4fc2%u5716%u53ca%u9023%u63a5%u7db2%u72c0%u5716%uff0c101 %u500b%u55ae%u500d%u578b%u5206%u70ba%u4e8c%u500b%u6f14%u5316%u7cfb%u7fa4 (clade)%uff08%u7cfb%u7fa4 A%u548c B%uff09%u3002%u9019%u5169%u500b%u7cfb%u7fa4%u5448%u540c%u57df%u5206%u4f48%uff0c%u4e14%u7cfb%u7fa4 B %u5728%u9664%u65cf%u7fa4 MA %u4e4b%u5916%u7684%u6240%u6709%u65cf%u7fa4%u4e2d%u51fa%u73fe%u983b%u7387%u8f03%u9ad8%u3002%u4e8c%u500b%u7cfb%u7fa4%u56fa%u5b9a%u6307%u6578 (fixation indices) NST %u548c GST %u7684%u6bd4%u8f03%u986f%u793a NST (0.039) %u5927%u65bc GST (0.007)%u3002%u4e8c%u500b%u7cfb%u7fa4%u907a%u50b3%u8ddd%u96e2%u6307%u6578 FST %u70ba 0.669%uff0c%u5177%u6709%u5206%u5316%u73fe%u8c61%u30023. %u5728%u6b77%u53f2%u65cf%u7fa4 (Demographic history) %u7d71%u8a08%u5206%u6790%u4e2d%u6240%u6709%u6a23%u672c%u932f%u4f4d%u5206%u5e03 (mismatch distribution) %u7684%u5206%u6790%u7d50%u679c%u986f%u793a%u5448%u73fe%u96d9%u5cf0 (bimodal) %u72c0%u614b%uff0c%u800c%u57fa%u65bc%u5169%u500b A %u548c B %u7cfb%u7fa4%u7684%u932f%u4f4d%u5206%u5e03%u662f%u55ae%u5cf0 (unimodal)%u3002%u9019%u4e9b%u7d50%u679c%u4e5f%u652f%u6301 A %u548c B %u5169%u500b%u7cfb%u7fa4%u4e4b%u9593%u5b58%u5728%u5dee%u7570%u3002%u9032%u4e00%u6b65%u5206%u6790%u5169%u500b%u7cfb%u7fa4%u548c%u6240%u6709%u6a23%u672c%u7684%u6b77%u53f2%u65cf%u7fa4%u7d71%u8a08%uff0c%u8c9d%u6c0f%u5929%u969b%u7dda (Bayesian skyline plot) %u986f%u793a%u5728 A %u548c B %u5169%u500b%u7cfb%u7fa4%u548c%u6240%u6709%u6a23%u672c%u7684%u4e09%u500b%u8cc7%u6599%u4e2d%uff0c%u65cf%u7fa4%u5728%u7d04 6 %u842c%u5e74%u524d%u64f4%u5f35%uff0c%u800c%u6240%u6709%u6a23%u672c%u548c B %u7cfb%u7fa4%u4e2d%u7684%u65cf%u7fa4%u5728%u8fd1%u671f%u5747%u5448%u73fe%u4e0b%u964d%u73fe%u8c61%uff0cA %u7cfb%u7fa4%u4e2d%u7684%u65cf%u7fa4%u5247%u5448%u73fe%u8da8%u7de9%u73fe%u8c61%u30024. %u6240%u6709%u5927%u68d8%u5927%u773c%u9bdb%u6a23%u672c%u5206%u70ba%u5169%u500b%u540c%u57df%u55ae%u500d%u7cfb%u7fa4%uff08A %u548c B%uff09%uff0c%u4f46%u7cfb%u7fa4 B %u5728%u6bcf%u500b%u65cf%u7fa4%u4e2d%u6240%u4f54%u6bd4%u4f8b%u8f03%u9ad8%uff0c%u9019 A %u548c B %u5169%u500b%u7cfb%u7fa4%u4e0d%u50c5%u5728%u907a%u50b3%u4e0a%u4e0d%u540c%uff0c%u800c%u4e14%u5728%u751f%u614b%u4e0a%u4e5f%u4e0d%u540c%uff0c%u63a8%u6e2c%u6d77%u5e73%u9762%u6ce2%u52d5%u548c%u74b0%u5883%u56e0%u7d20%u7684%u8b8a%u5316%u53ef%u80fd%u5f71%u97ff%u4e86%u907a%u50b3%u591a%u6a23%u5316%u3002%u6b77%u53f2%u65cf%u7fa4%u5206%u6790%u7d50%u679c%u4e5f%u986f%u793a%u4e8c%u8005%u6709%u5dee%u7570%uff0c%u7cfb%u7fa4 B %u7684%u65cf%u7fa4%u6578%u5927%u5e45%u4e0b%u964d%uff0c%u800c%u7cfb%u7fa4 A %u7684%u65cf%u7fa4%u6578%u8f03%u70ba%u6046%u5b9a%uff0c%u7cfb%u7fa4 B %u65cf%u7fa4%u6578%u4e0b%u964d%u672a%u4f86%u61c9%u52a0%u4ee5%u95dc%u6ce8%u3002%u9019%u4e9b%u7d50%u679c%u63d0%u4f9b%u672a%u4f86%u9032%u4e00%u6b65%u7814%u7a76%u53ca%u6f01%u696d%u8cc7%u6e90%u7ba1%u7406%u91cd%u8981%u53c3%u8003%u4f9d%u64da%u300250 5104 %u751f%u7269%u99b4%u990a

