高粱種質(zhì)資源SSR標(biāo)記遺傳多樣性與農(nóng)藝性狀關(guān)聯(lián)分析.doc

1、高粱種質(zhì)資SSR標(biāo)記遺傳多樣性與農(nóng)藝性狀關(guān)聯(lián)分析p 【摘要】：p 目的為充分了解高粱育種資各性狀特性，指導(dǎo)高粱雜交組合的配置及分子標(biāo)記輔助育種，應(yīng)用分子標(biāo)記對高粱種質(zhì)進(jìn)行遺傳多樣性分析p ，并尋找部分與農(nóng)藝性狀相關(guān)聯(lián)的分子標(biāo)記。方法利用SSR（simple sequence repeat，SSR）標(biāo)記分析p 55份高粱種質(zhì)資的遺傳多樣性，同時(shí)對8個(gè)農(nóng)藝性狀作表型鑒定，并利用GLM模型進(jìn)行分子標(biāo)記與農(nóng)藝性狀的關(guān)聯(lián)分析p 。結(jié)果株高、穗寬、穗長、葉片數(shù)、旗葉長及寬等生長期性狀都符合正態(tài)分布，單穗粒重和千粒重也符合正態(tài)分布；各供試材料的8個(gè)農(nóng)藝性狀均有極顯著差異。10對SSR引物共擴(kuò)增出64條帶并檢

2、測到39個(gè)等位變異；多態(tài)性信息量（polymorphism information content，PIC）變化范圍為0.685 60.948 3，平均為0.841 3；Shannon信息指數(shù)（I）和Neis基因多樣性指數(shù)（H）平均為1.195 8和0.617 0。在遺傳相似系數(shù)為0.731 7處UPGMA法將55份高粱材料聚為三大類，其中13份材料聚為A類，3份材料聚為B類，其余36份材料聚為C類。利用GLM模型分析p 結(jié)果表明，與穗寬、穗長、旗葉長、旗葉寬和千粒重5個(gè)農(nóng)藝性狀相關(guān)聯(lián)的標(biāo)記有4個(gè)，單個(gè)標(biāo)記對表型變異的解釋率為0.014 71.360 5。結(jié)論該研究為高粱種質(zhì)資精準(zhǔn)分類、種質(zhì)優(yōu)

3、勢利用、育種效率提高等方面以及分子標(biāo)記輔助育種提供基礎(chǔ)資料?！娟P(guān)鍵詞】：p 高粱；SSR標(biāo)記；農(nóng)藝性狀；遺傳多樣性；關(guān)聯(lián)分析p 中圖分類號 S514 文獻(xiàn)標(biāo)識碼 A 文章編號 0517-6611（20_）32-0026-07Geic Diversity and Association Analysis Using SSR Markers and Agronomic Traits in SorghumTIAN Chenghua， CHENG Qingjun， GAO Haiyan et al（Sorghum Institute， Shan_i Academy of Agricultural Sc

4、iences / Key Laboratory of Geic and Germplasm Innovation in Sorghum for Shan_i Province， Jinzhong， Shan_i 030600）Abstract Objective To understand the agronomic traits of sorghum germplasm and to direct sorghum hybrid binations as well as molecular marker assisted breeding， the geic diversity of sorg

5、hum germplasm was analyzed and the molecular markers associated with agronomic traits were searched.Method The geic diversity of 55 sorghum germplasm resources were assessed by simple sequence repeat （SSR） markers.We identified the phenotypic of eight agronomic traits and found SSR markers associate

6、d with plant height， spike width， spike length， leaf blade number， flag length and width， spike weight and thousandgrain weight using GLM （General Linear Model）.Result Eight agronomic traits were consistent with normal distribution and there are very significant differences， a total of 39 alleles we

7、re identified with 10 SSR markers.The average polymorphism information content （PIC） varied widely from 0.685 6 to 0.948 3 with an average value of 0.841 3，the average of Shannons information inde_ （I） and Neis gene diversity inde_ （H） were 1.195 8 and 0.617 0， respectively.Clustering analysis with

8、UPGMA showed that the 55 materials could be divided into three groups at the geic similarity coefficient of 0.731 7， thirteen materials were grouped into Class A， three materials were grouped into Class B， and the remaining thirtysi_ materials were grouped into Class C.Four markers were found to be

9、associated with spike width， spike length， flag leaf length， flag leaf width and thousandgrain weight using GLM （General Linear Model）， and the phenotypic variation e_plained by a single marker ranged from 0.014 7 to 1.360 5.Conclusion This research provided fundamental data for the accurate classification of germplasm