Soybean[Glycine max(L.)Merr.]is a global protein source and is currently expanding in Central and Northern Europe.Protein and oil content are two important quality traits that have been studied in different germplasm,...Soybean[Glycine max(L.)Merr.]is a global protein source and is currently expanding in Central and Northern Europe.Protein and oil content are two important quality traits that have been studied in different germplasm,however,their genetic architecture in earlymaturing European soybean has not been investigated yet.In this study,we therefore performed QTL mapping for both traits using 944 recombinant inbred lines derived from eight families from a half-diallel crossing design.We identified five QTL for each trait,with the QTL on chromosomes 8,15,and 20 being identified for both protein content and oil content.The known major QTL on chromosome 20 was detected in four families whereas the other QTL were only found in single families.Further analyses revealed the QTL to have pleiotropic but inverse effects on both traits.The effect of the major QTL was comparable between families,illustrating that it is largely independent from the genetic background.Collectively,our results illustrate the quantitative nature of protein and oil content in early European soybean.Marker-assisted selection for the QTL is possible,but the inverse effect on protein and oil content should be kept in mind.展开更多
Dear Editor Circular RNAs （circRNAs） are a kind of non-coding RNAs; they were first found over 35 years ago but have only become a research hotspot in recent years. CircRNAs are covalently closed loops derived from ...Dear Editor Circular RNAs （circRNAs） are a kind of non-coding RNAs; they were first found over 35 years ago but have only become a research hotspot in recent years. CircRNAs are covalently closed loops derived from precursor mRNAs by non-sequential back-splicing. Based on their genomic location, circRNAs can be classified into exonic, intronic, intergenic, and exon-intronic circRNAs （Chen, 2016）. By taking advantages of recent advances in bioinformatics algorithms, a large number of circRNAs have been detected among diverse organisms,展开更多
基金funded by the German Federal Ministry of Food and Agriculture(BMEL,grants numbers 2814500110,2814EPS011)by the Federal Ministry of Education and Research of Germany(BMBF,grant numbers 031B0339A,031B0339B)。
文摘Soybean[Glycine max(L.)Merr.]is a global protein source and is currently expanding in Central and Northern Europe.Protein and oil content are two important quality traits that have been studied in different germplasm,however,their genetic architecture in earlymaturing European soybean has not been investigated yet.In this study,we therefore performed QTL mapping for both traits using 944 recombinant inbred lines derived from eight families from a half-diallel crossing design.We identified five QTL for each trait,with the QTL on chromosomes 8,15,and 20 being identified for both protein content and oil content.The known major QTL on chromosome 20 was detected in four families whereas the other QTL were only found in single families.Further analyses revealed the QTL to have pleiotropic but inverse effects on both traits.The effect of the major QTL was comparable between families,illustrating that it is largely independent from the genetic background.Collectively,our results illustrate the quantitative nature of protein and oil content in early European soybean.Marker-assisted selection for the QTL is possible,but the inverse effect on protein and oil content should be kept in mind.
基金This work was supported by the National Science Foundation of China （91435111）, the National Basic Research Program of China （2015CB150200）, Shanghai Municipal Commission of Agriculture （2014- 7-1-4）, and Jiangsu Collaborative Innovation Center for Modern Crop Production （JCIC-MCP）.
文摘Dear Editor Circular RNAs （circRNAs） are a kind of non-coding RNAs; they were first found over 35 years ago but have only become a research hotspot in recent years. CircRNAs are covalently closed loops derived from precursor mRNAs by non-sequential back-splicing. Based on their genomic location, circRNAs can be classified into exonic, intronic, intergenic, and exon-intronic circRNAs （Chen, 2016）. By taking advantages of recent advances in bioinformatics algorithms, a large number of circRNAs have been detected among diverse organisms,
