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研究生:劉宗華
研究生(外文):Tsung-Hua Liu
論文名稱:利用水稻微衛星分子標誌標定水稻台農67號突變體SA0420之香味基因
論文名稱(外文):Mapping of aroma related genes in SA0420 rice mutant using microsatellite markers
指導教授:古新梅
指導教授(外文):Hsin-Mei Ku, Ph. D.
學位類別:碩士
校院名稱:國立中興大學
系所名稱:農藝學系
學門:農業科學學門
學類:一般農業學類
論文種類:學術論文
論文出版年:2004
畢業學年度:92
語文別:中文
論文頁數:76
中文關鍵詞:水稻riceOryza sativa L.微衛星體microsatellite簡單重複序列simple sequence repeatSSR簡單序列長度多型性simple sequence length polymorphismsSSLPs香米aromatic rice台農67號Tainung 67TNG67
外文關鍵詞:rice (Oryza sativa L.)microsatellitesimple sequence repeat (SSR)simple sequence length polymorphisms (SSLPs)aromatic riceTainung 67 (TNG67)
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中文摘要
水稻(rice, Oryza sativa L.)為全球1/2以上的人口主要糧食作物,在經濟、科學研究上佔有很重要的地位。在2002年大量的水稻微衛星分子標誌(microsatellite marker)被定位到水稻基因組圖譜上,有助於水稻遺傳育種研究。近年來,水稻育種著重在稻米品質上,嘗試改良出具有特殊用途或是具有香味的米。本研究利用185個水稻微衛星分子標誌,以聚合酶連鎖反應(polymerase chain reaction, PCR)分析台農67號(Tainung 67, TNG67)化學誘變突變庫(mutant library),篩選出與香味性狀相關的分子標誌。結果分別在水稻的第二、六、七、八條與第十條染色體上,找到十一個與香味性狀較為相關的微衛星分子標誌。將進一步透過這些相關區域找尋與香味基因更為緊密連鎖的微衛星標誌,以利於下一步的據圖選殖。
Abstract
Rice is the staple food for more than half of the world’s population, and is very impact in economy and scientific research. In 2002, a lot of microsatellite markers had been mapped on the rice genomic map, that were useful for rice research in genetics and breeding. Recently, the breeding of rice was focused on rice quality, and tried to improve? particular application of rice and aromatic rice. In the study, 185 rice microsatellite markers were used to search aromatic genes from mutant pool of Tainung 67. The result indicated that eleven markers were related with aromatic gene on the chromosome 2, 6, 7, 8 and chromosome 10. Finding more SSR markers linked with arometic loci in these linkage region will be benefit for map-based clonig.
目錄
頁次
中文摘要ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַv
英文摘要ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ vi
壹、前言ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ 1
貳、前人研究ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ3
一、水稻在研究上的重要性與優勢ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ 3
二、利用疊氮化鈉誘變擴大水稻遺傳變異ַ ַ ַ ַ ַ ַ ַ ַַ ַ ַ ַ ַ ַ ַ ַ ַ 4
三、水稻香味之研究ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ 6
四、水稻微衛星分子標誌之研究ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ8
五、據圖選殖之研究ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ12
參、材料與方法ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ 16
一、水稻材料準備與處理ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ16
二、植株外表型性狀調查ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ 16
三、總量DNA萃取ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ18
四、水稻SSR分子標誌分析ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ19
五、聚丙醯胺膠體電泳分析與銀染法顯影ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ 20
六、數據分析ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ22
七、香米品種比較與香味性狀模擬分析ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ22
肆、結果ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַַ ַ ַ ַ ַ ַ ַ ַ ַ 24
一、植株外表型性狀調查ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ 24
二、水稻SSR分子標誌對突變香米親本篩選ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ24
三、水稻SSR分子標誌對突變香米F2子代分析ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ25
四、葉片香味性狀分析ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ25
五、水稻第2條染色體之葉片香味性狀進一步分析ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ27
六、香米品種比較與香味性狀模擬分析ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ28
七、其他性狀分析ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ29
八、植株性狀相關性分析ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ 33
伍、討論ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ34
一、水稻SSR分子標誌對突變香米親本篩選ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ 34
二、水稻SSR分子標誌對突變香米F2子代分析ַ ַ ַ ַ ַ ַ ַ ַ ַַ ַ ַ ַ35
三、水稻香味性狀分析ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ37
四、其他性狀綜合比較分析ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ40
五、水稻基因組中的SSR分佈ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ41
陸、結語ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ 42
陸、參考文獻ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ43
圖表目錄
頁次
Figure 1. Figure 1. The phenotype of parents TNG67 and SA0420. ַ ַ ַ 47
Figure 2. The map of rice microsatellite marker. ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ48
Figure 3. The kinds of SSR markers were not analysed and some progenies had different polymorphism in parents.ַ ַ ַ ַ ַ ַ ַ ַ 51
Table 1. the list of phenotypes between TNG67 and SA0420.ַ ַ ַ ַ ַ ַ ַ 52
Table 2. The statistical analysis of leaf aroma and SSR markers in F2 population derived from a cross between TNG 67 x SA0420 in the model of qualitative trait.ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ 53
Table 3. The statistical analysis of leaf aroma and SSR markers in F2 population derived from a cross between TNG 67 x SA0420 in the model of quantitative trait.ַ ַ ַ ַ ַ ַ ַ ַַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ54
Table 4. The further test other SSR markers from chromosome 2 are near RM262 and RM475.ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ56
Table 5 The other arometic rice tested with rice SSR marker.ַ ַ ַ ַ ַ ַ ַ 57
Table 6. The statistical analysis of leaf aroma (change 1) and SSR markers in F2 population derived from a cross between TNG 67 x SA0420 in the model of qualitative trait.ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ60
Table 7. The statistical analysis of leaf aroma (change 2) and SSR markers in F2 population derived from a cross between TNG 67 x SA0420 in the model of qualitative trait.ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ61
Table 8. The statistical analysis of plant height and SSR markers in F2 population derived from a cross between TNG 67 x SA0420 in the model of quantitative trait.ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ 62
Table 9. The statistical analysis of characteristic and SSR markers in F2 population derived from a cross between TNG 67 x SA0420 in the model of qualitative trait.ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ63
Table 10. The statistical analysis of characteristic and SSR markers in F2 population derived from a cross between TNG 67 x SA0420 in the model of quantitative trait.ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ64
Table 11. The statistical analysis of DAP and SSR markers in F2 population derived from a cross between TNG 67 x SA0420 in the model of quantitative trait.ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ65
Table 12. The statistical analysis of weight and SSR markers in F2 population derived from a cross between TNG 67 x SA0420 in the model of quantitative trait.ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ67
Table 13. The statistical analysis of seed weight and SSR markers in F2 population derived from a cross between TNG 67 x SA0420 in the model of quantitative trait.ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ68
Table 14. The statistical analysis of thousand seed weight and SSR markers in F2 population derived from a cross between TNG 67 x SA0420 in the model of quantitative trait.ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ69
Table 15. The statistical analysis of fertility level and SSR markers in F2 population derived from a cross between TNG 67 x SA0420 in the model of quantitative trait.ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַַ ַ ַ ַ ַ ַ 70
Table 16. The statistical analysis of fertility rate and SSR markers in F2 population derived from a cross between TNG 67 x SA0420 in the model of quantitative trait.ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ72
Table 17. The statistical analysis of grain number and SSR markers in F2 population derived from a cross between TNG 67 x SA0420 in the model of quantitative trait. ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ 74
Table 18. The statistical analysis of spikelet number and SSR markers in F2 population derived from a cross between TNG 67 x SA0420 in the model of quantitative trait.ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ75
Table 19 Correlations between all traits for F2 population derived from a cross between TNG 67 x SA0420 with P value below 0.05 (R, P-value).ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ ַ 76
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