A survey of petal-specific proteomes of soybean(Glycine max(L.) Merr[Non-italic].) was conducted comparing protein expression profiles in different petals. Two-dimensional polyacrylamide gel electrophoresis reference ...A survey of petal-specific proteomes of soybean(Glycine max(L.) Merr[Non-italic].) was conducted comparing protein expression profiles in different petals. Two-dimensional polyacrylamide gel electrophoresis reference maps of protein extracts from standard petals(SP), lateral wings(LW), keel petals(KP), and reproductive organs(RO)(a mixture of stamen and carpel) were obtained. Protein expression in the three petal types was compared using Image Master TM 2 D platinum 6.0 software. This indicated that the proportion of homologous proteins between SP and LW was 59.27%, between SP and KP was 61.48%, and between LW and KP was 60.05%. Within a mass range of 6.5-200.0 ku and pH 4.0-7.0, approximately 590, 646, 544, and 700 protein spots were detected in SP, LW, KP, and RO, respectively. A total of 82 differentially expressed proteins were detected. Sixty-four of these detected spots were differentially expressed and showed more than 2-fold changes in abundance; of these 64 proteins, 26 showed increased expression and 38 showed decreased expression. Among these spots, single organ-specific proteins were also identified.They were ID 49(60.9 ku), ID 45(50.0 ku), and ID 46(40.5 ku) in RO, ID 98(42.0 ku) in SP, and ID 05(29.0 ku) in KP. A total of 14 protein spots from 82 differentially expressed proteins were identified with LC-MS/MS. Further protein identification was conducted using the SwissProt and NCBInr databases. The identified proteins and their putative functions were discussed further. This was the first study reporting the comparison of petal protein profiles of soybean florets using proteomics tools.展开更多
Seeding rate is an important management practice for soybean production.Chinese and U.S.soybean growers use different seeding rates,and breeders in the two countries have developed cultivars adapted to respective plan...Seeding rate is an important management practice for soybean production.Chinese and U.S.soybean growers use different seeding rates,and breeders in the two countries have developed cultivars adapted to respective plant densities.The objective of this study was to compare the effect of plant density on cultivars recently released in different breeding programs,using four cultivars developed in Liaoning,China and four in Ohio,USA.We used 3 plant density treatments(7.5,15.0,22.5 x 104 plants/hm2) and assessed yield and agronomic traits from 2004 to 2006 in Liaoning.There was no significant effect of plant density on yield for either group of the cultivars.The average yield of Ohio cultivars was higher than that of Liaoning cultivars,and there was no significant interaction between plant density and cultivar for all the assessed traits.The plant height of Liaoning cultivars was significantly higher than that of Ohio cultivars,and there was a significant effect of plant density on plant height.The average branch number of Ohio cultivars was larger than that of Liaoning cultivars;higher plant density reduced the branch number per plant greatly.Plant density had a signifi-cant effect on the node number and internode length,Liaoning cultivars generally had longer internode length.Plant density had a significant effect on seed yield:stem ratio,as the plant density increased the seed yield:stem ratio decreased for both groups of cultivars.However,100-seed weight was not affected by plant density.展开更多
涝害是世界上许多国家的重大自然灾害。耐涝性可分为耐湿(渍)性和耐淹性。以科丰1号(高度耐淹)×南农1138-2(不耐淹)衍生的RIL群体(NJRIKY)为材料,以盆栽全淹条件下的存活率为耐淹性指标,采用主基因+多基因混合遗传模型分离分析法...涝害是世界上许多国家的重大自然灾害。耐涝性可分为耐湿(渍)性和耐淹性。以科丰1号(高度耐淹)×南农1138-2(不耐淹)衍生的RIL群体(NJRIKY)为材料,以盆栽全淹条件下的存活率为耐淹性指标,采用主基因+多基因混合遗传模型分离分析法进行遗传分析,并利用WinQTL Cartographer Version 2.5程序的复合区间作图法(CIM)及多区间作图法(MIM)进行QTL定位。结果表明,两次试验的耐淹性均存在超亲变异,试验间、家系间以及试验与家系互作间的差异均极显著;NJRIKY大豆群体的耐淹性为3对等加性主基因遗传模型,主基因遗传率为42.40%;在QTL分析中,用CIM和MIM共同检测到3个耐淹QTL,分别位于A1、D1a和G连锁群上的Satt648~K418_2V、Satt531~A941V、Satt038~Satt275(B53B^Satt038)区间,表型贡献率为4.4%~7.6%。分离分析与QTL定位的结果相对一致,可相互印证。展开更多
大豆油中脂肪酸的种类与含量是衡量其品质的主要指标。目前,对大豆脂肪酸组分相关的QTL研究较多,然而这些结果之间由于作图群体、分析方法以及环境条件的差异造成了QTL定位的区间过大或定位区间重叠等问题。通过搜集已报道的与大豆脂肪...大豆油中脂肪酸的种类与含量是衡量其品质的主要指标。目前,对大豆脂肪酸组分相关的QTL研究较多,然而这些结果之间由于作图群体、分析方法以及环境条件的差异造成了QTL定位的区间过大或定位区间重叠等问题。通过搜集已报道的与大豆脂肪酸含量相关的83个QTL,提取相对有效且可靠的QTL标记信息,利用元分析软件B ioM ercator2.1将这些QTL映射到大豆公共遗传连锁图谱Soym ap2上,构建了一张大豆脂肪酸组分相关QTL一致性图谱。并利用QTL的95%的置信区间来元分析推断"真实"QTL的位置。结果共得到定位在10个连锁群上的19个"真实"QTLs,他们主要分布在A1、B2、D1b、D2、E、G、L这7条连锁群上且成簇分布,明显缩短了其QTL的置信区间。研究结果为大豆脂肪酸组分相关的QTL的精细定位以及脂肪酸组分相关基因挖掘提供了有力的依据。展开更多
基金Supported by Harbin Science and Technology Bureau(2016RQYXJ018,2017RAQXJ104)the Key Laboratory of Soybean Biology in the Chinese Ministry of Education,Northeast Agricultural University(SB17A01)+3 种基金the National Natural Science Foundation of China(31801386)Heilongjiang Natural Science Foundation(LC2018008)Heilongjiang General Young Innovative Talents Training Plan(UNPYSCT-2018158)Certificate of China Postdoctoral Science Foundation Grant(2018M641839)
文摘A survey of petal-specific proteomes of soybean(Glycine max(L.) Merr[Non-italic].) was conducted comparing protein expression profiles in different petals. Two-dimensional polyacrylamide gel electrophoresis reference maps of protein extracts from standard petals(SP), lateral wings(LW), keel petals(KP), and reproductive organs(RO)(a mixture of stamen and carpel) were obtained. Protein expression in the three petal types was compared using Image Master TM 2 D platinum 6.0 software. This indicated that the proportion of homologous proteins between SP and LW was 59.27%, between SP and KP was 61.48%, and between LW and KP was 60.05%. Within a mass range of 6.5-200.0 ku and pH 4.0-7.0, approximately 590, 646, 544, and 700 protein spots were detected in SP, LW, KP, and RO, respectively. A total of 82 differentially expressed proteins were detected. Sixty-four of these detected spots were differentially expressed and showed more than 2-fold changes in abundance; of these 64 proteins, 26 showed increased expression and 38 showed decreased expression. Among these spots, single organ-specific proteins were also identified.They were ID 49(60.9 ku), ID 45(50.0 ku), and ID 46(40.5 ku) in RO, ID 98(42.0 ku) in SP, and ID 05(29.0 ku) in KP. A total of 14 protein spots from 82 differentially expressed proteins were identified with LC-MS/MS. Further protein identification was conducted using the SwissProt and NCBInr databases. The identified proteins and their putative functions were discussed further. This was the first study reporting the comparison of petal protein profiles of soybean florets using proteomics tools.
文摘Seeding rate is an important management practice for soybean production.Chinese and U.S.soybean growers use different seeding rates,and breeders in the two countries have developed cultivars adapted to respective plant densities.The objective of this study was to compare the effect of plant density on cultivars recently released in different breeding programs,using four cultivars developed in Liaoning,China and four in Ohio,USA.We used 3 plant density treatments(7.5,15.0,22.5 x 104 plants/hm2) and assessed yield and agronomic traits from 2004 to 2006 in Liaoning.There was no significant effect of plant density on yield for either group of the cultivars.The average yield of Ohio cultivars was higher than that of Liaoning cultivars,and there was no significant interaction between plant density and cultivar for all the assessed traits.The plant height of Liaoning cultivars was significantly higher than that of Ohio cultivars,and there was a significant effect of plant density on plant height.The average branch number of Ohio cultivars was larger than that of Liaoning cultivars;higher plant density reduced the branch number per plant greatly.Plant density had a signifi-cant effect on the node number and internode length,Liaoning cultivars generally had longer internode length.Plant density had a significant effect on seed yield:stem ratio,as the plant density increased the seed yield:stem ratio decreased for both groups of cultivars.However,100-seed weight was not affected by plant density.
文摘涝害是世界上许多国家的重大自然灾害。耐涝性可分为耐湿(渍)性和耐淹性。以科丰1号(高度耐淹)×南农1138-2(不耐淹)衍生的RIL群体(NJRIKY)为材料,以盆栽全淹条件下的存活率为耐淹性指标,采用主基因+多基因混合遗传模型分离分析法进行遗传分析,并利用WinQTL Cartographer Version 2.5程序的复合区间作图法(CIM)及多区间作图法(MIM)进行QTL定位。结果表明,两次试验的耐淹性均存在超亲变异,试验间、家系间以及试验与家系互作间的差异均极显著;NJRIKY大豆群体的耐淹性为3对等加性主基因遗传模型,主基因遗传率为42.40%;在QTL分析中,用CIM和MIM共同检测到3个耐淹QTL,分别位于A1、D1a和G连锁群上的Satt648~K418_2V、Satt531~A941V、Satt038~Satt275(B53B^Satt038)区间,表型贡献率为4.4%~7.6%。分离分析与QTL定位的结果相对一致,可相互印证。
文摘大豆油中脂肪酸的种类与含量是衡量其品质的主要指标。目前,对大豆脂肪酸组分相关的QTL研究较多,然而这些结果之间由于作图群体、分析方法以及环境条件的差异造成了QTL定位的区间过大或定位区间重叠等问题。通过搜集已报道的与大豆脂肪酸含量相关的83个QTL,提取相对有效且可靠的QTL标记信息,利用元分析软件B ioM ercator2.1将这些QTL映射到大豆公共遗传连锁图谱Soym ap2上,构建了一张大豆脂肪酸组分相关QTL一致性图谱。并利用QTL的95%的置信区间来元分析推断"真实"QTL的位置。结果共得到定位在10个连锁群上的19个"真实"QTLs,他们主要分布在A1、B2、D1b、D2、E、G、L这7条连锁群上且成簇分布,明显缩短了其QTL的置信区间。研究结果为大豆脂肪酸组分相关的QTL的精细定位以及脂肪酸组分相关基因挖掘提供了有力的依据。
