Eleven evaluating parameters for rice core collection were assessed based on genotypic values and molecular marke＇ information. Monte Carlo simulation combined with mixed linear model was used to eliminate the interf...Eleven evaluating parameters for rice core collection were assessed based on genotypic values and molecular marke＇ information. Monte Carlo simulation combined with mixed linear model was used to eliminate the interference from environment in order to draw more reliable results. The coincidence rate of range （CR） was the optimal parameter. Mean Simpson index （MD）, mean Shannon-Weaver index of genetic diversity （M1） and mean polymorphism information content （MPIC） were important evaluating parameters. The variable rate of coefficient of variation （VR） could act as an important reference parameter for evaluating the variation degree of core collection. Percentage of polymorphic loci （p） could be used as a determination parameter for the size of core collection. Mean difference percentage （MD） was a determination parameter for the reliability judgment of core collection. The effective evaluating parameters for core collection selected in the research could be used as criteria for sampling percentage in different plant germplasm populations.展开更多
Genetic diversity plays an essential role in plant breeding and utilization.Pepper is an important vegetable and spice crop worldwide.The genetic diversity of 1 904 accessions of pepper conserved at the National Mid-t...Genetic diversity plays an essential role in plant breeding and utilization.Pepper is an important vegetable and spice crop worldwide.The genetic diversity of 1 904 accessions of pepper conserved at the National Mid-term Genebank for Vegetables,Beijing,China was analyzed based on 29 simple sequence repeat(SSR)markers,which were evenly distributed over 12 pepper chromosomes.The pepper accessions were divided into two groups in a genetic structure analysis,and the two groups showed obvious differences in fruit type and geographical distribution.We finally selected 248 accessions capturing 75.6%of the SSR alleles as the core collection for further research.Insights into the genetic structure of pepper provide the basis for population-level gene mining and genetic improvement.展开更多
Based on the genetic clustering from 42 microsatellite （SSR） markers with a combination of their geographic origin and germplasm characteristics, 124 maize landraces from Wuling Mountain region in China were used fo...Based on the genetic clustering from 42 microsatellite （SSR） markers with a combination of their geographic origin and germplasm characteristics, 124 maize landraces from Wuling Mountain region in China were used for constructing a core collection. Four evaluating parameters for maize landrace core collection, including mean difference percentage （MD）, variance difference percentage （VD）, coincidence rate of range （CR）, and variable rate of coefficient of variation （VR）, were assessed With 20 quantitative traits. It was shown that genetic relationships among landraces in Wuling Mountain region had the tendency to associate with their geographic origins. The 124 landraces were clustered into 18 subgroups when the coefficient of genetic similarity （GS） is 0.28. Eighteen landraces, each of which was from one subgroup, were applied to construct the core collection with a sampling percentage of 15%. Comparison of the initial and core collection indicated that there existed no significant differences in most quantitative traits. An average of 6.3 and 6.5 alleles were detected in the initial and core collection, respectively. Mean polymorphism information content in the core collection （0.75） was higher than that in the initial one （0.72）. MD was lesser than 20% and CR was more than 80%. The results showed that the sampling strategy would be feasible for constructing the core collection that well represents the genetic diversity of the initial one.展开更多
Wheat processing quality is greatly influenced by the seed proteins especially the high molecular weight glutenin subunit (HMW-GS) components, the low molecular weight glutenin subunit (LMW-GS) components and gliadin ...Wheat processing quality is greatly influenced by the seed proteins especially the high molecular weight glutenin subunit (HMW-GS) components, the low molecular weight glutenin subunit (LMW-GS) components and gliadin components. Genes encoding the HMW-GS and LMW-GS components were located on the long arms and the short arms of homoeologous group 1 chromosomes, respectively. HMW-GS components in 5 129 accessions of wheat germplasms were analyzed systematically, including 3 459 landraces and 1 670 modern varieties. These accessions were chosen as candidate core collections to represent the genetic diversity of Chinese common wheat ( Triticum aestivum) germplasms documented and conserved in the National Gene Bank. These candidate core collections covered the 10 wheat production regions in China. In the whole country, the dominating alleles at the three loci are Glu-A1b (null), Glu-B1b (7 + 8), and Glu-D1a (2 + 12), respectively. The obvious difference between the land race and the modern variety is the dramatic frequency increase of alleles Glu-A1a (1), Glu-B1c (7 + 9), Glu-B1h (14 + 15), Glu-D1d (5 + 10) and allele cording 5 + 12 subunits in the later ones. In the whole view, there is minor difference on the genetic(allelic)richness between the landrace and the modern variety at Glu-1, which is 28 and 30 respectively. However, the genetic dispersion index (Simpson index) based on allelic variation and frequencies at Glu-A1, Glu-B1 and Glu-D1 suggested that the modern varieties had much higher genetic diversity than the landraces. This revealed that various isolating mechanisms (such as auto-gamous nature, low migration because of undeveloped transposition system) limited the gene flow and exchange between populations of the landraces, which led up to some genotypes localized in very small areas. Modern breeding has strongly promoted gene exchanges and introgression between populations and previous isolated populations. In the three loci, Glu-Bl has the highest genetic diversity , then Glu-D1, while Glu-A1 always ke展开更多
The method for constructing core collection ofMalus sieversii based on molecular marker data was proposed. According to 128 SSR allele of 109 M. sieversii, an allele preferred sampling strategy was used to construct M...The method for constructing core collection ofMalus sieversii based on molecular marker data was proposed. According to 128 SSR allele of 109 M. sieversii, an allele preferred sampling strategy was used to construct M. sieversii core collection, using the UPGMA （unweighted pair-group average method） cluster method according to Nei ＆ Li, SM, and Jaccard genetic distances, by stepwise clustering, and compared with the random sampling strategy. The number of lost allele and t-test of Nei＇s gene diversity and Shannon＇s information index were used to evaluate the representative core collections. The results showed that compared with the random sampling strategy, allele preferred sampling strategy could construct more representative core collections. SM, difference for construction of M. sieversii core collection. Jaccard, and Nei ＆ Li genetic distances had no significant SRAP （sequence-related amplified polymorphism） data and morphological data showed that allele preferred sampling strategy was a good sampling strategy for constructing core collection of M. sieversii. Allele preferred sampling strategy combined with SM, Jaccard, and Nei ＆ Li genetic distances using stepwise clustering was the suitable method for constructing M. sieversii core collection.展开更多
Correlations between four grain quality, 24 plant morphological traits and eight element contents of 653 accessions from Yunnan rice were analyzed. P, K, Ca and Mg contents of core collection were closely correlated t...Correlations between four grain quality, 24 plant morphological traits and eight element contents of 653 accessions from Yunnan rice were analyzed. P, K, Ca and Mg contents of core collection were closely correlated to the most plant morphological and grain quality traits, and there were highly significant correlations （P 〈0.01） among some traits including P content to number of stems and tillers, K content and amylose content, Ca content and plant height, Mg content and protein content. Mn, Zn, Cu and Fe contents of core collection were closely related to a few traits, such as Fe content and gel consistency （-0.1121^＊＊）, Zn content and seed setting rate （-0.1411^＊＊）, Cu content and number of grains per panicle （-0.1398^＊＊）, Mn content and plant height （-0.2492^＊＊）.展开更多
Eight-element contents of 653 unpolished rice samples harvested from Xingping experiment farm, Yunnan Province under the same ecological conditions were analyzed by ICP-AES method. The mineral elements content were cl...Eight-element contents of 653 unpolished rice samples harvested from Xingping experiment farm, Yunnan Province under the same ecological conditions were analyzed by ICP-AES method. The mineral elements content were closely related to low diversity, high-yielding, and multi-resistance breeding; The K, Mg, Ca and Mn content in high-yielding and resistant varieties were high, and other nutrients such as P, Fe, Zn and Cu were low, which was connected with the heredity and physiological mechanism of mineral nutrients. There is zonal distribution of mineral elements content from Yunnan rice, especially for P, Fe, Zn and Cu co-related with the diversity center, paddy versus upland, glutinous and non-glutinous, glume-hair versus nuda, rice color, rice flavor, soft rice versus non-soft rice, but it did not find any association with indica-japonica types. The results supported the ecological variety group view of 5-grade taxonomic system species-subspecies-ecological groups-ecological variety groups - varietal types' .展开更多
The phylogenetic relationship for classification traits and eight mineral elements in brown rice （Oryza sativa L.） from Yunnan Province in China was carried out using microwave assisted digestion followed by inducti...The phylogenetic relationship for classification traits and eight mineral elements in brown rice （Oryza sativa L.） from Yunnan Province in China was carried out using microwave assisted digestion followed by inductively coupled plasma atomic emission spectroscopy, and the analytical procedures were carefully controlled and validated. In general, the results show that the mean levels of K, Ca, Mg, Fe and Cu in brown rice for 789 accessions of rice landraces was distinctly lower than that of improved cultivars. They further demonstrate that Ca plays an important role in the differentiation of subspecies indica-japonica, especially to enhance adaptation of cold stress, and that five mineral elements in brown rice enhance the eurytopicity from landrace to improved cultivar. Hierarchical cluster analysis, using average linkage from SPSS software based on eight mineral elements in brown rice, showed that Yunnan rice could be grouped into rice landrace and improved cultivar, with the rice landrace being further clustered into five subgroups, and that, interestingly, purple rice does not cluster with either of the groups. Our present data confirm that indica is the closest relative of late rice and white rice, and that they constitute rice landraces together, whereas japonica is the closest relatives of non-nuda, early-mid and glutinous rice. It is further shown that japonica, non-nuda, early-mid, glutinous, white and red rice might be more primitive than indica, nuda, late, non-glutinous and purple rice, respectively.展开更多
基金the National Natural Science Foundation of China （Grant No. 30270759） the Science and Technology Department of Zhejiang Province （Grant No. 2005C32001）.
文摘Eleven evaluating parameters for rice core collection were assessed based on genotypic values and molecular marke＇ information. Monte Carlo simulation combined with mixed linear model was used to eliminate the interference from environment in order to draw more reliable results. The coincidence rate of range （CR） was the optimal parameter. Mean Simpson index （MD）, mean Shannon-Weaver index of genetic diversity （M1） and mean polymorphism information content （MPIC） were important evaluating parameters. The variable rate of coefficient of variation （VR） could act as an important reference parameter for evaluating the variation degree of core collection. Percentage of polymorphic loci （p） could be used as a determination parameter for the size of core collection. Mean difference percentage （MD） was a determination parameter for the reliability judgment of core collection. The effective evaluating parameters for core collection selected in the research could be used as criteria for sampling percentage in different plant germplasm populations.
基金funded by the National Key Technology Research and Development Program of China (2016YFD0100200 and 2016YFD0101700)the earmarked fund for China Agriculture Research System (CARS-25 and CARS-24-A-01)+1 种基金the Core Research Budget of the Non-profit Governmental Research Institute, Chinese Academy of Agricultural Sciences (1610032011011)the Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences (CAAS-ASTIPIVFCAAS)
文摘Genetic diversity plays an essential role in plant breeding and utilization.Pepper is an important vegetable and spice crop worldwide.The genetic diversity of 1 904 accessions of pepper conserved at the National Mid-term Genebank for Vegetables,Beijing,China was analyzed based on 29 simple sequence repeat(SSR)markers,which were evenly distributed over 12 pepper chromosomes.The pepper accessions were divided into two groups in a genetic structure analysis,and the two groups showed obvious differences in fruit type and geographical distribution.We finally selected 248 accessions capturing 75.6%of the SSR alleles as the core collection for further research.Insights into the genetic structure of pepper provide the basis for population-level gene mining and genetic improvement.
基金the National High Tech-nology Research and Development Program of China(863 Program, 2004BA525B04)Program for Changjiang Scholars and Innovative Research Team in University of China (IRTO453)
文摘Based on the genetic clustering from 42 microsatellite （SSR） markers with a combination of their geographic origin and germplasm characteristics, 124 maize landraces from Wuling Mountain region in China were used for constructing a core collection. Four evaluating parameters for maize landrace core collection, including mean difference percentage （MD）, variance difference percentage （VD）, coincidence rate of range （CR）, and variable rate of coefficient of variation （VR）, were assessed With 20 quantitative traits. It was shown that genetic relationships among landraces in Wuling Mountain region had the tendency to associate with their geographic origins. The 124 landraces were clustered into 18 subgroups when the coefficient of genetic similarity （GS） is 0.28. Eighteen landraces, each of which was from one subgroup, were applied to construct the core collection with a sampling percentage of 15%. Comparison of the initial and core collection indicated that there existed no significant differences in most quantitative traits. An average of 6.3 and 6.5 alleles were detected in the initial and core collection, respectively. Mean polymorphism information content in the core collection （0.75） was higher than that in the initial one （0.72）. MD was lesser than 20% and CR was more than 80%. The results showed that the sampling strategy would be feasible for constructing the core collection that well represents the genetic diversity of the initial one.
文摘Wheat processing quality is greatly influenced by the seed proteins especially the high molecular weight glutenin subunit (HMW-GS) components, the low molecular weight glutenin subunit (LMW-GS) components and gliadin components. Genes encoding the HMW-GS and LMW-GS components were located on the long arms and the short arms of homoeologous group 1 chromosomes, respectively. HMW-GS components in 5 129 accessions of wheat germplasms were analyzed systematically, including 3 459 landraces and 1 670 modern varieties. These accessions were chosen as candidate core collections to represent the genetic diversity of Chinese common wheat ( Triticum aestivum) germplasms documented and conserved in the National Gene Bank. These candidate core collections covered the 10 wheat production regions in China. In the whole country, the dominating alleles at the three loci are Glu-A1b (null), Glu-B1b (7 + 8), and Glu-D1a (2 + 12), respectively. The obvious difference between the land race and the modern variety is the dramatic frequency increase of alleles Glu-A1a (1), Glu-B1c (7 + 9), Glu-B1h (14 + 15), Glu-D1d (5 + 10) and allele cording 5 + 12 subunits in the later ones. In the whole view, there is minor difference on the genetic(allelic)richness between the landrace and the modern variety at Glu-1, which is 28 and 30 respectively. However, the genetic dispersion index (Simpson index) based on allelic variation and frequencies at Glu-A1, Glu-B1 and Glu-D1 suggested that the modern varieties had much higher genetic diversity than the landraces. This revealed that various isolating mechanisms (such as auto-gamous nature, low migration because of undeveloped transposition system) limited the gene flow and exchange between populations of the landraces, which led up to some genotypes localized in very small areas. Modern breeding has strongly promoted gene exchanges and introgression between populations and previous isolated populations. In the three loci, Glu-Bl has the highest genetic diversity , then Glu-D1, while Glu-A1 always ke
基金financially supported by the National Natural Science Foundation of China (30871679)National 863 Program of China (2006AA100108)Agricultural Improved Variety Project of Shandong Province, China.
文摘The method for constructing core collection ofMalus sieversii based on molecular marker data was proposed. According to 128 SSR allele of 109 M. sieversii, an allele preferred sampling strategy was used to construct M. sieversii core collection, using the UPGMA （unweighted pair-group average method） cluster method according to Nei ＆ Li, SM, and Jaccard genetic distances, by stepwise clustering, and compared with the random sampling strategy. The number of lost allele and t-test of Nei＇s gene diversity and Shannon＇s information index were used to evaluate the representative core collections. The results showed that compared with the random sampling strategy, allele preferred sampling strategy could construct more representative core collections. SM, difference for construction of M. sieversii core collection. Jaccard, and Nei ＆ Li genetic distances had no significant SRAP （sequence-related amplified polymorphism） data and morphological data showed that allele preferred sampling strategy was a good sampling strategy for constructing core collection of M. sieversii. Allele preferred sampling strategy combined with SM, Jaccard, and Nei ＆ Li genetic distances using stepwise clustering was the suitable method for constructing M. sieversii core collection.
基金supported by the National Natural Science Foundation of China(30260060)a grant from the Natural Science Foundation of Yunnan,China(2002C0077M).
文摘Correlations between four grain quality, 24 plant morphological traits and eight element contents of 653 accessions from Yunnan rice were analyzed. P, K, Ca and Mg contents of core collection were closely correlated to the most plant morphological and grain quality traits, and there were highly significant correlations （P 〈0.01） among some traits including P content to number of stems and tillers, K content and amylose content, Ca content and plant height, Mg content and protein content. Mn, Zn, Cu and Fe contents of core collection were closely related to a few traits, such as Fe content and gel consistency （-0.1121^＊＊）, Zn content and seed setting rate （-0.1411^＊＊）, Cu content and number of grains per panicle （-0.1398^＊＊）, Mn content and plant height （-0.2492^＊＊）.
文摘Eight-element contents of 653 unpolished rice samples harvested from Xingping experiment farm, Yunnan Province under the same ecological conditions were analyzed by ICP-AES method. The mineral elements content were closely related to low diversity, high-yielding, and multi-resistance breeding; The K, Mg, Ca and Mn content in high-yielding and resistant varieties were high, and other nutrients such as P, Fe, Zn and Cu were low, which was connected with the heredity and physiological mechanism of mineral nutrients. There is zonal distribution of mineral elements content from Yunnan rice, especially for P, Fe, Zn and Cu co-related with the diversity center, paddy versus upland, glutinous and non-glutinous, glume-hair versus nuda, rice color, rice flavor, soft rice versus non-soft rice, but it did not find any association with indica-japonica types. The results supported the ecological variety group view of 5-grade taxonomic system species-subspecies-ecological groups-ecological variety groups - varietal types' .
基金Supported by the National Natural Science Foundation of China (30660092)the Cooperation Program between Province and Zhejiang University from Yunnan Provincial Scientific and Technology Department (2006YX12)the Yunnan Introduction and Foster Talent Program (2005PY01-14)
文摘The phylogenetic relationship for classification traits and eight mineral elements in brown rice （Oryza sativa L.） from Yunnan Province in China was carried out using microwave assisted digestion followed by inductively coupled plasma atomic emission spectroscopy, and the analytical procedures were carefully controlled and validated. In general, the results show that the mean levels of K, Ca, Mg, Fe and Cu in brown rice for 789 accessions of rice landraces was distinctly lower than that of improved cultivars. They further demonstrate that Ca plays an important role in the differentiation of subspecies indica-japonica, especially to enhance adaptation of cold stress, and that five mineral elements in brown rice enhance the eurytopicity from landrace to improved cultivar. Hierarchical cluster analysis, using average linkage from SPSS software based on eight mineral elements in brown rice, showed that Yunnan rice could be grouped into rice landrace and improved cultivar, with the rice landrace being further clustered into five subgroups, and that, interestingly, purple rice does not cluster with either of the groups. Our present data confirm that indica is the closest relative of late rice and white rice, and that they constitute rice landraces together, whereas japonica is the closest relatives of non-nuda, early-mid and glutinous rice. It is further shown that japonica, non-nuda, early-mid, glutinous, white and red rice might be more primitive than indica, nuda, late, non-glutinous and purple rice, respectively.
