1.Development of EST-SSRs derived from G.barbadense:One hundred and nineteen EST-SSRs were developed based on 98 unique ESTs from a cDNA library constructed in our laboratory using developing fibers from G.barbadense ...1.Development of EST-SSRs derived from G.barbadense:One hundred and nineteen EST-SSRs were developed based on 98 unique ESTs from a cDNA library constructed in our laboratory using developing fibers from G.barbadense cv.3-79.Among the SSRs,trinucleotide AAG appeared展开更多
Genetic diversity of 299 inbred indica rice varieties, including 33 introduced varieties, applied in Guangdong Province of China were assessed using 20 ILP (intron length polymorphism) and 34 SSR (simple sequence r...Genetic diversity of 299 inbred indica rice varieties, including 33 introduced varieties, applied in Guangdong Province of China were assessed using 20 ILP (intron length polymorphism) and 34 SSR (simple sequence repeat) markers. Totally, 154 loci were screened for the 299 varieties, with the average number of alleles (Na), rare alleles (Nr), and polymorphism information content (PIC) scored at 3.4, 0.7 and 0.32, respectively. The Nei's genetic distance (GD) was estimated ranging from 0 to 0.7529 with an average of 0.4797. There was no significant difference of Na, Nr, PIC or GDs between the introduced and local varieties. Neighbor-joining (N J) analysis showed that the 299 varieties failed into three main distinct groups, and the 33 introduced varieties were distributed over all the groups or subgroups. Model-based cluster analysis demonstrated that only 73 (24.4%) of the 299 varieties and 7 (21.2%) of the 33 introduced varieties could be distinctly classified into the three groups. Analysis of molecular variance showed that within the groups divided by NJ analysis, the genetic variations revealed by ILP, SSR and these two combined were 7.7%, 5.6% and 6.6%, and within the groups divided by region (Guangdong local and the introduced varieties), the genetic variables were 2.1%, 4.6%, 5.4%, respectively. These results suggested that the genetic diversity of the 299 inbred rice varieties in Guangdong Province was low, simultaneously relationship among varieties was poor and close in all kind of groups. Hence, it is very necessary to extend the genetic diversity during the breeding and selection practical procedure.展开更多
Advances in genotyping technology, such as molecular markers, have noticeably improved our capacity to characterize genomes at multiple loci. Concomitantly, the methodological framework to analyze genetic data has exp...Advances in genotyping technology, such as molecular markers, have noticeably improved our capacity to characterize genomes at multiple loci. Concomitantly, the methodological framework to analyze genetic data has expanded, and keeping abreast with the latest statistical developments to analyze molecular marker data in the context of spatial genetics has become a difficult task. Most methods in spatial statistics are devoted to univariate data whereas the nature of molecular marker data is highly dimensional. Multivariate methods are aimed at finding proximities between entities characterized by multiple variables by summarizing information in few synthetic variables. In particular, Principal Component analysis (PCA) has been used to study genetic structure of geo-referenced allele frequency profiles, incorporating spatial information with a posteriori analysis. Conversely, the recently developed spatially restricted PCA (sPCA) explicitly includes spatial data in the optimization criterion. In this work, we compared the results of the application of PCA and sPCA in the study of the spatial genetic structure at fine scale of a Prosopis flexuosa and P. chilensis hybrid swarm. Data consisted in the genetic characterization of 87 trees sampled in Córdoba, Argentina and genotyped at six microsatellites, which yielded 72 alleles. As expected, principal components explained more variance than sPCA components, but were less spatially autocorrelated. The maps obtained by the interpolation of sPC1 values allowed a better visualization of a patchy spatial pattern of genetic variability than the PC1 synthetic map. We also proposed a PC-sPC scatter plot of allele loadings to better understand the allele contributions to spatial genetic variability.展开更多
In order to screen molecular markers linked to fertility restoring genes and further improve the breeding efficiency of restorer lines, in this study, wheat varieties 18A, 18B and 99AR144-1 were used as experimental m...In order to screen molecular markers linked to fertility restoring genes and further improve the breeding efficiency of restorer lines, in this study, wheat varieties 18A, 18B and 99AR144-1 were used as experimental materials to establish F2 fertility-segregating population. Plant quantitative trait "major gene + polygene mixed mo- del" separation analysis method and simple sequence repeat (SSR) molecular markers were adopted for genetic analysis of four generations, including the parents (P~ and P2), and hybrid (G and G) populations. The results show that AL-type fertility restoring gene is controlled by two pairs of additive-dominant-epistatic genes and addi- tive-dominant polygene; two primers linked to fertility restoring genes were selected by SSR molecular markers, including Xgwm95 on chromosome 2A and Barc61 on chromosome 1B, with the linkage distance of 15.0 cM and 18.0 cM, respectively. Based on verification, these two markers are reliable for distinguishing AL-type wheat ste- rile lines and restorer lines.展开更多
A rumpled and twisted leaf 1(rtl1) mutant was generated from a japonica cultivar Nipponbare by ethyl methanesulfonate treatment,which was characterized as rumpled and twisted leaf at the seedling stage.The F2 populati...A rumpled and twisted leaf 1(rtl1) mutant was generated from a japonica cultivar Nipponbare by ethyl methanesulfonate treatment,which was characterized as rumpled and twisted leaf at the seedling stage.The F2 populations were constructed by crossing with indica cultivars TN1 and Zhefu 802,respectively.Genetic analysis demonstrated that the phenotype was controlled by a single recessive nuclear gene.The closely linked simple sequence repeat(SSR) marker RM1155 was obtained from bulked segregant analysis.Subsequently,sequence tagged site(STS) markers were developed using the published rice genome sequence.Finally,RTL1 was located between an STS marker T1591 and an SSR marker RM1359,at the distances of 0.48 cM and 0.96 cM,respectively.These results will facilitate the cloning of the target gene in further studies.展开更多
Molecular markers,genome sequencing and genome editing are considered as efficient tools to accomplish demands of plant breeders for crop improvement programs.Morphological and biochemical markers have not been extens...Molecular markers,genome sequencing and genome editing are considered as efficient tools to accomplish demands of plant breeders for crop improvement programs.Morphological and biochemical markers have not been extensively used as these are greatly influenced by environmental factors.Different molecular markers and sequencing techniques are routinely used in evaluation of genetic diversity and evolutionary relationship,accurate classification or taxonomy,characterization of germplasm,identification of hybrids and phylogenetic studies.Desired and undesired traits controlled by genes can be identified through different molecular markers technology all over the globe.These molecular markers are well established and have successfully been used for genetic analysis of different plants during last two decades.Recently,advanced techniques of molecular markers have been developed,which provide advance genotypic platform and tends to merge valuable properties of many basic systems.New class of markers also includes little modifications in basic methods to enhance the sensitivity and resolution.Biotechnologists,plant breeders and strong investment are strongly linked for crop improvement purposes.Current review provides detailed description of different markers,genome sequencing and genome editing that have been utilized for different genetic analyses of horticultural crops.Genome editing technologies based on CRISPR/Cas are now successfully applied in horticultural crops.Moreover,current review encourages the use of molecular marker technology for DNA fingerprinting,bar coding,sequencing,re-sequencing QTL mapping,genome association mapping and genome editing.It is need of time that diverse germplasm should be identified with different molecular techniques and further utilized in breeding purposes to achieve higher yielding and resistant cultivars against biotic and abiotic stresses.展开更多
A segregating population with 410 F2 individuals from the cross MERCIA (Rht-Bla)×Dwarf 123 was made to identify a new major dwarfing gene carrying by novel wheat germplasm Dwarf 123. Combination of bulk segeran...A segregating population with 410 F2 individuals from the cross MERCIA (Rht-Bla)×Dwarf 123 was made to identify a new major dwarfing gene carrying by novel wheat germplasm Dwarf 123. Combination of bulk segerant analysis method was used. A total of 145 SSR markers were tested for polymorphisms among parental lines and DNA bulks of F2 population. Out of 145 primer pairs only three markers revealed corresponding polymorphism among parental lines and F2 DNA bulks. The marker Barc20 was close to the dwarfing gene with a genetic distance of 1.8 cM, and markers Gwm513 and Gwm495 were linked to the gene with genetic distance of 6.7 and 13 cM, respectively. Linkage analysis mapped the dwarfing gene to the long arm of chromosome 4B with the order of Barc20-dwarfing gene-Gwm513-Gwm495. The Comparision between the new gene and the known Rht-B1 alleles showed that dwarfing gene Rht-Ai123 was different from the others. The identification of the new dwarfing gene and its linked markers will greatly facilitate its utilization in wheat high yield breeding for reducing plant height.展开更多
【目的】分析玫瑰及其近缘种之间的遗传多样性并构建指纹图谱,为玫瑰种质资源鉴定与开发利用奠定基础。【方法】在玫瑰的传统品种、杂交繁育品种和国内外引进品种中各选择1种,取其鲜嫩叶片进行转录组测序;基于测序得到的玫瑰转录组数据...【目的】分析玫瑰及其近缘种之间的遗传多样性并构建指纹图谱,为玫瑰种质资源鉴定与开发利用奠定基础。【方法】在玫瑰的传统品种、杂交繁育品种和国内外引进品种中各选择1种,取其鲜嫩叶片进行转录组测序;基于测序得到的玫瑰转录组数据,使用MISA在reads覆盖的基因组数据中查找玫瑰的SSR位点,并根据SSR位点两端的保守序列使用Primer 3.0设计引物。选取10种玫瑰的DNA作为试验材料,筛选设计、合成后的引物。以48份玫瑰及其近缘种的DNA作为试验材料,利用筛选出的峰值较好的引物进行TP-M13-SSR PCR,并对其扩增产物进行毛细管电泳检测,应用GeneMarker 2.2.0(SoftGenetics,USA)读取毛细管电泳数据并用Excel进行整理;使用POPGEN VERSION 1.32计算筛选引物的观测杂合度、期望杂合度、Nei’s遗传多样性指数、观测等位基因数、有效等位基因数、Shannon信息指数,并用CERVUS version 3.0计算多态性信息含量。利用Powermarker计算玫瑰及其近缘种各种质之间的遗传距离;采用NTSYSpc 2.10e计算每2个种质之间的遗传相似性系数,并绘制UPGMA聚类树状图。最后采用引物与基因型组合的方式构建玫瑰及其近缘种的指纹图谱。【结果】基于玫瑰样品转录组测序数据,使用MISA共检测出48796个SSR位点,分布于139712条Unigene中,碱基重复类型数量最多的为二核苷酸重复和三核苷酸重复,分别为20628和12828个。使用Primer 3.0以SSR位点两端的保守序列为依据初步设计并合成了144对引物;以10个玫瑰品种的DNA作为模板筛选引物,共筛选出峰值较好的28对引物。以48份玫瑰及其近缘种的DNA为试验材料,28对引物在48份试验材料中均能扩增出峰型良好、多态性高的DNA片段;28对引物的观测杂合度、期望杂合度、Nei’s遗传多样性指数、观测等位基因数、有效等位基因数、Shannon信息指数和多态性信息含量的平均值分别为0.4101,0.7505,0.7011,4.607个,3.5116个,1.3442和0.6526。大多数供试样品间的遗传距离为0.6000~0.8000;聚类分析结果显示,在遗传相似系数为0.571时,48份玫瑰及其近缘种被分为两类。运用核心引物法筛选出的4对核心引物可将48份试验材料全部区分开,并构建了其指纹图谱。【结论】开发并筛选出28对多态性较好的SSR引物,可用于后续玫瑰的遗传多样性分析、遗传图谱构建、遗传稳定性鉴定等方面。展开更多
文摘1.Development of EST-SSRs derived from G.barbadense:One hundred and nineteen EST-SSRs were developed based on 98 unique ESTs from a cDNA library constructed in our laboratory using developing fibers from G.barbadense cv.3-79.Among the SSRs,trinucleotide AAG appeared
基金supported by the Guangdong Natural Science Foundation of China (Grant No. S2012040007829)the National High Technology Research and Development Program of China (Grant No. 2012AA101201)
文摘Genetic diversity of 299 inbred indica rice varieties, including 33 introduced varieties, applied in Guangdong Province of China were assessed using 20 ILP (intron length polymorphism) and 34 SSR (simple sequence repeat) markers. Totally, 154 loci were screened for the 299 varieties, with the average number of alleles (Na), rare alleles (Nr), and polymorphism information content (PIC) scored at 3.4, 0.7 and 0.32, respectively. The Nei's genetic distance (GD) was estimated ranging from 0 to 0.7529 with an average of 0.4797. There was no significant difference of Na, Nr, PIC or GDs between the introduced and local varieties. Neighbor-joining (N J) analysis showed that the 299 varieties failed into three main distinct groups, and the 33 introduced varieties were distributed over all the groups or subgroups. Model-based cluster analysis demonstrated that only 73 (24.4%) of the 299 varieties and 7 (21.2%) of the 33 introduced varieties could be distinctly classified into the three groups. Analysis of molecular variance showed that within the groups divided by NJ analysis, the genetic variations revealed by ILP, SSR and these two combined were 7.7%, 5.6% and 6.6%, and within the groups divided by region (Guangdong local and the introduced varieties), the genetic variables were 2.1%, 4.6%, 5.4%, respectively. These results suggested that the genetic diversity of the 299 inbred rice varieties in Guangdong Province was low, simultaneously relationship among varieties was poor and close in all kind of groups. Hence, it is very necessary to extend the genetic diversity during the breeding and selection practical procedure.
文摘Advances in genotyping technology, such as molecular markers, have noticeably improved our capacity to characterize genomes at multiple loci. Concomitantly, the methodological framework to analyze genetic data has expanded, and keeping abreast with the latest statistical developments to analyze molecular marker data in the context of spatial genetics has become a difficult task. Most methods in spatial statistics are devoted to univariate data whereas the nature of molecular marker data is highly dimensional. Multivariate methods are aimed at finding proximities between entities characterized by multiple variables by summarizing information in few synthetic variables. In particular, Principal Component analysis (PCA) has been used to study genetic structure of geo-referenced allele frequency profiles, incorporating spatial information with a posteriori analysis. Conversely, the recently developed spatially restricted PCA (sPCA) explicitly includes spatial data in the optimization criterion. In this work, we compared the results of the application of PCA and sPCA in the study of the spatial genetic structure at fine scale of a Prosopis flexuosa and P. chilensis hybrid swarm. Data consisted in the genetic characterization of 87 trees sampled in Córdoba, Argentina and genotyped at six microsatellites, which yielded 72 alleles. As expected, principal components explained more variance than sPCA components, but were less spatially autocorrelated. The maps obtained by the interpolation of sPC1 values allowed a better visualization of a patchy spatial pattern of genetic variability than the PC1 synthetic map. We also proposed a PC-sPC scatter plot of allele loadings to better understand the allele contributions to spatial genetic variability.
基金Special Foundation for "12th Five-year" Biological Germplasm Resources Innovation&Functional Gene Discovery and Utilization of Xinjiang Production and Construction Corps(No.2012BB047)"12th Five-year" Breeding Tacking Program of Xinjiang Production and Construction Corps(No.2011BA002)
文摘In order to screen molecular markers linked to fertility restoring genes and further improve the breeding efficiency of restorer lines, in this study, wheat varieties 18A, 18B and 99AR144-1 were used as experimental materials to establish F2 fertility-segregating population. Plant quantitative trait "major gene + polygene mixed mo- del" separation analysis method and simple sequence repeat (SSR) molecular markers were adopted for genetic analysis of four generations, including the parents (P~ and P2), and hybrid (G and G) populations. The results show that AL-type fertility restoring gene is controlled by two pairs of additive-dominant-epistatic genes and addi- tive-dominant polygene; two primers linked to fertility restoring genes were selected by SSR molecular markers, including Xgwm95 on chromosome 2A and Barc61 on chromosome 1B, with the linkage distance of 15.0 cM and 18.0 cM, respectively. Based on verification, these two markers are reliable for distinguishing AL-type wheat ste- rile lines and restorer lines.
基金supported by the National Major Special Program of Breeding of Transgenetic Organisms New Variety(Grant Nos.2009ZX08001-022B,2009ZX08009-125B)National Natural ScienceFoundation of China(Grant No.30970171)
文摘A rumpled and twisted leaf 1(rtl1) mutant was generated from a japonica cultivar Nipponbare by ethyl methanesulfonate treatment,which was characterized as rumpled and twisted leaf at the seedling stage.The F2 populations were constructed by crossing with indica cultivars TN1 and Zhefu 802,respectively.Genetic analysis demonstrated that the phenotype was controlled by a single recessive nuclear gene.The closely linked simple sequence repeat(SSR) marker RM1155 was obtained from bulked segregant analysis.Subsequently,sequence tagged site(STS) markers were developed using the published rice genome sequence.Finally,RTL1 was located between an STS marker T1591 and an SSR marker RM1359,at the distances of 0.48 cM and 0.96 cM,respectively.These results will facilitate the cloning of the target gene in further studies.
文摘Molecular markers,genome sequencing and genome editing are considered as efficient tools to accomplish demands of plant breeders for crop improvement programs.Morphological and biochemical markers have not been extensively used as these are greatly influenced by environmental factors.Different molecular markers and sequencing techniques are routinely used in evaluation of genetic diversity and evolutionary relationship,accurate classification or taxonomy,characterization of germplasm,identification of hybrids and phylogenetic studies.Desired and undesired traits controlled by genes can be identified through different molecular markers technology all over the globe.These molecular markers are well established and have successfully been used for genetic analysis of different plants during last two decades.Recently,advanced techniques of molecular markers have been developed,which provide advance genotypic platform and tends to merge valuable properties of many basic systems.New class of markers also includes little modifications in basic methods to enhance the sensitivity and resolution.Biotechnologists,plant breeders and strong investment are strongly linked for crop improvement purposes.Current review provides detailed description of different markers,genome sequencing and genome editing that have been utilized for different genetic analyses of horticultural crops.Genome editing technologies based on CRISPR/Cas are now successfully applied in horticultural crops.Moreover,current review encourages the use of molecular marker technology for DNA fingerprinting,bar coding,sequencing,re-sequencing QTL mapping,genome association mapping and genome editing.It is need of time that diverse germplasm should be identified with different molecular techniques and further utilized in breeding purposes to achieve higher yielding and resistant cultivars against biotic and abiotic stresses.
基金supported by the Natural Science Foundation of Hebei Province,China (C200500637)the Key Technologies R&D Program of China during the 11th Five-Year Plan period (2006BAD13B02-08)the Hebei Provincial Science and Technology Underpinning Project,China (06820119D)
文摘A segregating population with 410 F2 individuals from the cross MERCIA (Rht-Bla)×Dwarf 123 was made to identify a new major dwarfing gene carrying by novel wheat germplasm Dwarf 123. Combination of bulk segerant analysis method was used. A total of 145 SSR markers were tested for polymorphisms among parental lines and DNA bulks of F2 population. Out of 145 primer pairs only three markers revealed corresponding polymorphism among parental lines and F2 DNA bulks. The marker Barc20 was close to the dwarfing gene with a genetic distance of 1.8 cM, and markers Gwm513 and Gwm495 were linked to the gene with genetic distance of 6.7 and 13 cM, respectively. Linkage analysis mapped the dwarfing gene to the long arm of chromosome 4B with the order of Barc20-dwarfing gene-Gwm513-Gwm495. The Comparision between the new gene and the known Rht-B1 alleles showed that dwarfing gene Rht-Ai123 was different from the others. The identification of the new dwarfing gene and its linked markers will greatly facilitate its utilization in wheat high yield breeding for reducing plant height.
文摘【目的】分析玫瑰及其近缘种之间的遗传多样性并构建指纹图谱,为玫瑰种质资源鉴定与开发利用奠定基础。【方法】在玫瑰的传统品种、杂交繁育品种和国内外引进品种中各选择1种,取其鲜嫩叶片进行转录组测序;基于测序得到的玫瑰转录组数据,使用MISA在reads覆盖的基因组数据中查找玫瑰的SSR位点,并根据SSR位点两端的保守序列使用Primer 3.0设计引物。选取10种玫瑰的DNA作为试验材料,筛选设计、合成后的引物。以48份玫瑰及其近缘种的DNA作为试验材料,利用筛选出的峰值较好的引物进行TP-M13-SSR PCR,并对其扩增产物进行毛细管电泳检测,应用GeneMarker 2.2.0(SoftGenetics,USA)读取毛细管电泳数据并用Excel进行整理;使用POPGEN VERSION 1.32计算筛选引物的观测杂合度、期望杂合度、Nei’s遗传多样性指数、观测等位基因数、有效等位基因数、Shannon信息指数,并用CERVUS version 3.0计算多态性信息含量。利用Powermarker计算玫瑰及其近缘种各种质之间的遗传距离;采用NTSYSpc 2.10e计算每2个种质之间的遗传相似性系数,并绘制UPGMA聚类树状图。最后采用引物与基因型组合的方式构建玫瑰及其近缘种的指纹图谱。【结果】基于玫瑰样品转录组测序数据,使用MISA共检测出48796个SSR位点,分布于139712条Unigene中,碱基重复类型数量最多的为二核苷酸重复和三核苷酸重复,分别为20628和12828个。使用Primer 3.0以SSR位点两端的保守序列为依据初步设计并合成了144对引物;以10个玫瑰品种的DNA作为模板筛选引物,共筛选出峰值较好的28对引物。以48份玫瑰及其近缘种的DNA为试验材料,28对引物在48份试验材料中均能扩增出峰型良好、多态性高的DNA片段;28对引物的观测杂合度、期望杂合度、Nei’s遗传多样性指数、观测等位基因数、有效等位基因数、Shannon信息指数和多态性信息含量的平均值分别为0.4101,0.7505,0.7011,4.607个,3.5116个,1.3442和0.6526。大多数供试样品间的遗传距离为0.6000~0.8000;聚类分析结果显示,在遗传相似系数为0.571时,48份玫瑰及其近缘种被分为两类。运用核心引物法筛选出的4对核心引物可将48份试验材料全部区分开,并构建了其指纹图谱。【结论】开发并筛选出28对多态性较好的SSR引物,可用于后续玫瑰的遗传多样性分析、遗传图谱构建、遗传稳定性鉴定等方面。