[Objective] The genetic diversity of major mango cultivars in China was analyzed by using SSR markers, and their fingerprints were constructed so as to provide theoretical basis for germplasm innovation and breeding o...[Objective] The genetic diversity of major mango cultivars in China was analyzed by using SSR markers, and their fingerprints were constructed so as to provide theoretical basis for germplasm innovation and breeding of mango. [Method] With 115 pairs of SSR primers, genetic diversity analysis and cluster analysis were performed for 30 mango cultivars, among which the genetic relationships were analyzed. [Result] Total 64 pairs of polymorphic primers were screened out from the 115 pairs of primers, and total 343 bands were amplified from the 30 cultivars with 73.2% of polymorphic bands. On average, 3.9 allelic loci were detected for each pair of primers with genetic diversity index of 0.5, Shannon＇s diversity index of 1.00 and polymorphism information content of 0.49, indicating higher genetic diversity. The cluster analysis showed that the 30 major cultivars could be classified into four categories. The first category included 14 cultivars; the second category included 11 cultivars, most of which were introduced from abroad; the third category included 4 cultivars, Le., Miansan, Parayinda, Baiyu and Hongxiangya： the fourth category included only one cultivar Maqiesu.By using 7 pairs of SSR markers, i.e., M42, M49, M54, M55, M96, M99 and M103, digital fingerprints were constructed for the 30 mango cultivars. [Conclusion] The 30 mango cultivars present more complex genomic genetics and abundant genetic information, and they have higher genetic diversity.展开更多
The standard gliadin fingerprints and their database of 68 major cultivars and a part of backbone parents, which have ever been extensively grown in North China since the 1950' s, were constructed by using CAWGES ...The standard gliadin fingerprints and their database of 68 major cultivars and a part of backbone parents, which have ever been extensively grown in North China since the 1950' s, were constructed by using CAWGES software and an improved method of pH 3.2 A-PAGE. In the meantime, investigations were made on the utilization of the database in the area of gliadin fingerprints analysis, variety identification and genetic relationship study. The results showed that it provided an effective method for building core collections and variety identification.展开更多
【目的】采用SSR标记构建2008年中国3大棉区8个棉花主产省份32份棉花主栽品种的DNA指纹图谱并进行遗传多样性分析。【方法】从214对候选引物中筛选出36对多态性高、稳定性好且在染色体上分布均匀的引物作为核心引物,构建棉花主栽品种DN...【目的】采用SSR标记构建2008年中国3大棉区8个棉花主产省份32份棉花主栽品种的DNA指纹图谱并进行遗传多样性分析。【方法】从214对候选引物中筛选出36对多态性高、稳定性好且在染色体上分布均匀的引物作为核心引物,构建棉花主栽品种DNA指纹图谱。【结果】36对SSR引物在32份材料中共扩增出142种多态性基因型,每对引物的基因型从2—11种不等,平均每对引物扩增出3.94种基因型。9对引物在10个品种上具有特征带型。最少采用5对引物进行组合鉴定即可将32个棉花品种完全区分开。NTSYS-pc V 2.10软件分析表明,长江流域棉区品种间遗传差异最大,新疆棉区次之,黄河流域棉区最小。常规品种的遗传基础窄于杂交陆地棉。【结论】核心引物组合法相比特征谱带法更适用于构建中国棉花主栽品种DNA指纹图谱,品种间的亲缘关系与地理来源有一定的相关性。展开更多
【目的】对中国68个主推小麦品种进行抗白粉病分析和基因推导,为白粉病流行预警和防治提供依据。【方法】2011年春季在西南、西北、长江中下游、华北、黄淮和新疆麦区等12个省(自治区)采集1 094个单孢子堆白粉病菌株,并用每个菌株分别接...【目的】对中国68个主推小麦品种进行抗白粉病分析和基因推导,为白粉病流行预警和防治提供依据。【方法】2011年春季在西南、西北、长江中下游、华北、黄淮和新疆麦区等12个省(自治区)采集1 094个单孢子堆白粉病菌株,并用每个菌株分别接种68个品种离体叶段进行抗感性测定;应用NTSYSpc2.10e软件对表型抗感性数据进行UPGAMA(unweighted pair group arithmetic mean analysis)聚类分析;用实验室长期收集保存的31个毒谱不同的菌株作为鉴别菌株对30个含已知抗白粉病基因材料和68个主推品种的离体叶段进行接种,比较68个品种和单基因材料对31个鉴别菌株的抗性谱,从而推导68个主推品种所含的抗白粉病基因。【结果】抗性测定结果表明,品种间抗谱存在明显差异。内麦8号、内麦9号和绵麦37抗谱宽,对各省菌群的抗性频率均大于99%;济麦22、扬麦11、扬麦12、扬麦13和轮选987等5个品种抗性频率在70%—90%;有54个品种的抗性频率小于40%,占供试品种总数的79.4%,表明大部分主推品种的抗性已被克服。某品种对该品种推广种植区域菌群的抗性频率低于对其它非种植区域菌群的抗性频率。聚类分析可将68个品种分成4大类,第I类包括6个品种,其中5个品种抗性频率在40%—70%;第II类包括7个品种,抗性频率均大于70%;第III类包括54个品种,抗性频率均小于40%;第IV类包括1个品种,抗性频率为46.1%;聚类显示来自于同一省的品种、抗性频率相近的品种具有相似或相近的抗性遗传背景。基因推导表明,内麦8号、内麦9号含有Pm21,偃展4110、新麦208和扬麦11均含有Pm4b;济麦22含有Pm2+ta;其余品种含有其它未知抗白粉病因子。【结论】当前中国主推小麦品种中近80%的品种对全国白粉病菌群的抗性频率不高,特别是就单个品种而言,对该品种种植区的白粉菌群抗性频率更低,存在小麦白粉病在条件适合时暴发流行的风险,必须加强病害预警。同省品种的抗性频率聚类大多聚到同一组,说明同省品种的抗源异质性不高,中国小麦白粉病育种应该引进更丰富抗源。展开更多
基金Supported by Natural Science Foundation of Hainan Province(34128)Fundamental Scientific Research Funds of Chinese Academy of Tropical Agricultural Sciences(1630032013031)~~
文摘[Objective] The genetic diversity of major mango cultivars in China was analyzed by using SSR markers, and their fingerprints were constructed so as to provide theoretical basis for germplasm innovation and breeding of mango. [Method] With 115 pairs of SSR primers, genetic diversity analysis and cluster analysis were performed for 30 mango cultivars, among which the genetic relationships were analyzed. [Result] Total 64 pairs of polymorphic primers were screened out from the 115 pairs of primers, and total 343 bands were amplified from the 30 cultivars with 73.2% of polymorphic bands. On average, 3.9 allelic loci were detected for each pair of primers with genetic diversity index of 0.5, Shannon＇s diversity index of 1.00 and polymorphism information content of 0.49, indicating higher genetic diversity. The cluster analysis showed that the 30 major cultivars could be classified into four categories. The first category included 14 cultivars; the second category included 11 cultivars, most of which were introduced from abroad; the third category included 4 cultivars, Le., Miansan, Parayinda, Baiyu and Hongxiangya： the fourth category included only one cultivar Maqiesu.By using 7 pairs of SSR markers, i.e., M42, M49, M54, M55, M96, M99 and M103, digital fingerprints were constructed for the 30 mango cultivars. [Conclusion] The 30 mango cultivars present more complex genomic genetics and abundant genetic information, and they have higher genetic diversity.
文摘The standard gliadin fingerprints and their database of 68 major cultivars and a part of backbone parents, which have ever been extensively grown in North China since the 1950' s, were constructed by using CAWGES software and an improved method of pH 3.2 A-PAGE. In the meantime, investigations were made on the utilization of the database in the area of gliadin fingerprints analysis, variety identification and genetic relationship study. The results showed that it provided an effective method for building core collections and variety identification.
文摘【目的】采用SSR标记构建2008年中国3大棉区8个棉花主产省份32份棉花主栽品种的DNA指纹图谱并进行遗传多样性分析。【方法】从214对候选引物中筛选出36对多态性高、稳定性好且在染色体上分布均匀的引物作为核心引物,构建棉花主栽品种DNA指纹图谱。【结果】36对SSR引物在32份材料中共扩增出142种多态性基因型,每对引物的基因型从2—11种不等,平均每对引物扩增出3.94种基因型。9对引物在10个品种上具有特征带型。最少采用5对引物进行组合鉴定即可将32个棉花品种完全区分开。NTSYS-pc V 2.10软件分析表明,长江流域棉区品种间遗传差异最大,新疆棉区次之,黄河流域棉区最小。常规品种的遗传基础窄于杂交陆地棉。【结论】核心引物组合法相比特征谱带法更适用于构建中国棉花主栽品种DNA指纹图谱,品种间的亲缘关系与地理来源有一定的相关性。
文摘【目的】对中国68个主推小麦品种进行抗白粉病分析和基因推导,为白粉病流行预警和防治提供依据。【方法】2011年春季在西南、西北、长江中下游、华北、黄淮和新疆麦区等12个省(自治区)采集1 094个单孢子堆白粉病菌株,并用每个菌株分别接种68个品种离体叶段进行抗感性测定;应用NTSYSpc2.10e软件对表型抗感性数据进行UPGAMA(unweighted pair group arithmetic mean analysis)聚类分析;用实验室长期收集保存的31个毒谱不同的菌株作为鉴别菌株对30个含已知抗白粉病基因材料和68个主推品种的离体叶段进行接种,比较68个品种和单基因材料对31个鉴别菌株的抗性谱,从而推导68个主推品种所含的抗白粉病基因。【结果】抗性测定结果表明,品种间抗谱存在明显差异。内麦8号、内麦9号和绵麦37抗谱宽,对各省菌群的抗性频率均大于99%;济麦22、扬麦11、扬麦12、扬麦13和轮选987等5个品种抗性频率在70%—90%;有54个品种的抗性频率小于40%,占供试品种总数的79.4%,表明大部分主推品种的抗性已被克服。某品种对该品种推广种植区域菌群的抗性频率低于对其它非种植区域菌群的抗性频率。聚类分析可将68个品种分成4大类,第I类包括6个品种,其中5个品种抗性频率在40%—70%;第II类包括7个品种,抗性频率均大于70%;第III类包括54个品种,抗性频率均小于40%;第IV类包括1个品种,抗性频率为46.1%;聚类显示来自于同一省的品种、抗性频率相近的品种具有相似或相近的抗性遗传背景。基因推导表明,内麦8号、内麦9号含有Pm21,偃展4110、新麦208和扬麦11均含有Pm4b;济麦22含有Pm2+ta;其余品种含有其它未知抗白粉病因子。【结论】当前中国主推小麦品种中近80%的品种对全国白粉病菌群的抗性频率不高,特别是就单个品种而言,对该品种种植区的白粉菌群抗性频率更低,存在小麦白粉病在条件适合时暴发流行的风险,必须加强病害预警。同省品种的抗性频率聚类大多聚到同一组,说明同省品种的抗源异质性不高,中国小麦白粉病育种应该引进更丰富抗源。
