林业研究(英文版)
林業研究(英文版)
임업연구(영문판)
JOURNAL OF FORESTRY RESEARCH
2004年
3期
203-206
,共4页
绿孔雀%基因组DNA%随机扩增多态DNA(RAPD)
綠孔雀%基因組DNA%隨機擴增多態DNA(RAPD)
록공작%기인조DNA%수궤확증다태DNA(RAPD)
Green peafowl%Pavo muticus%Genomic DNA%Random amplified polymorphic DNA (RAPD)
利用随机扩增多态DNA (RAPD)技术对野生14个和笼养18个绿孔雀 (Pavo muticus)个体进行了种群遗传多样性分析.用23个随机引物对野生与笼养绿孔雀基因组DNA扩增,分别获得161和166个扩增片段.计算发现野生与笼养绿孔雀的种群内平均相对遗传距离分别是0.0555和0.1355,两种群间的平均相对遗传距离为0.1635;野生绿孔雀和笼养绿孔雀种群的Shannon多样性指数平均分别是0.4348和1.0163,表明有显著性差异.以上分析都显示野生绿孔雀的遗传多样性很低.利用UPGMA法聚类显示两个种群都是分别来源于两个家系,可据此进行绿孔雀的繁育管理.图1表3参5.
利用隨機擴增多態DNA (RAPD)技術對野生14箇和籠養18箇綠孔雀 (Pavo muticus)箇體進行瞭種群遺傳多樣性分析.用23箇隨機引物對野生與籠養綠孔雀基因組DNA擴增,分彆穫得161和166箇擴增片段.計算髮現野生與籠養綠孔雀的種群內平均相對遺傳距離分彆是0.0555和0.1355,兩種群間的平均相對遺傳距離為0.1635;野生綠孔雀和籠養綠孔雀種群的Shannon多樣性指數平均分彆是0.4348和1.0163,錶明有顯著性差異.以上分析都顯示野生綠孔雀的遺傳多樣性很低.利用UPGMA法聚類顯示兩箇種群都是分彆來源于兩箇傢繫,可據此進行綠孔雀的繁育管理.圖1錶3參5.
이용수궤확증다태DNA (RAPD)기술대야생14개화롱양18개록공작 (Pavo muticus)개체진행료충군유전다양성분석.용23개수궤인물대야생여롱양록공작기인조DNA확증,분별획득161화166개확증편단.계산발현야생여롱양록공작적충군내평균상대유전거리분별시0.0555화0.1355,량충군간적평균상대유전거리위0.1635;야생록공작화롱양록공작충군적Shannon다양성지수평균분별시0.4348화1.0163,표명유현저성차이.이상분석도현시야생록공작적유전다양성흔저.이용UPGMA법취류현시량개충군도시분별래원우량개가계,가거차진행록공작적번육관리.도1표3삼5.
The genetic diversity of the populations for 14 wild green peafowls (Pavo muticus) and 18 captive green peafowls was investigated by using the technology of random amplified polymorphic DNA (RAPD). Totally 161 and 166 amplified bands were obtained by using 23 arbitrary primers to amplify the genomic DNA of wild and captive green peafowls respectively. The results showed that the average relative genetic distance of the wild and captive green peafowls populations was 0.0555 and 0.1355, respectively, and difference of the average relative genetic distances between the two populations was 0.1635. The Shannon diversity index for the wild and captive green peafowl populations was 0.4348 and 1.0163, respectively, which means that there exists significant difference in genetic diversity between the two populations, and the genetic diversity of wild green peafowl was low. The two populations originated from two different families according to analysis by the UPGMA method. This research can provide the theoretical basis for supervising genealogies management of peafowl populations.