MicroRNAs （miRNAs） are derived from distinct loci in the genome and play crucial roles in RNA-mediated gene silencing mechanisms that regulate cellular processes during development and stress responses of plants. Th...MicroRNAs （miRNAs） are derived from distinct loci in the genome and play crucial roles in RNA-mediated gene silencing mechanisms that regulate cellular processes during development and stress responses of plants. The miRNAs are approximately 21 nucleotides long and code for the complementary strand to a larger genic mRNA. They are often found within the complementary primary transcript （pri-miRNAs）. In the past few years, a growing number of soybean miRNAs have been discovered, however, little is known about the transcriptional regulation of these miRNAs. In this study, promoters and cis-acting elements of soybean miRNAs were analyzed using the genomic data for the first time. A total of 82 miRNAs were located among 122 loci in genome, some were present as double or multiple copies. Five clusters that included ten miRNAs were found in genome, and only one cluster share the same promoter. A total of 191 promoters from 122 loci of the soybean miRNA sequences were found and further analyzed. The results indicated that the conserved soybean miRNA genes had a greater proportion of promoters than that of non-conserved ones, and the distribution of the transcript start sites （TSSs） and TATA-boxes found had different motif styles between conserved and non-conserved miRNA genes. Furthermore, the cis-acting elements 5＇ of the TSSs were analyzed to obtain potential function and spatiotemporal expression pattern of miRNAs. The data obtained here may lead to the identification of specific sequences upstream of pre-miRNAs and the functional annotation of miRNAs in soybean.展开更多
The importance of microRNAs （miRNAs） at the post-transcriptional regulation level has recently been recognized in both animals and plants. In this study, the simple and most effective method of comparative genomic a...The importance of microRNAs （miRNAs） at the post-transcriptional regulation level has recently been recognized in both animals and plants. In this study, the simple and most effective method of comparative genomic approach was used. First known plants miRNAs BLAST against the soybean genome, and then the located candidates were searched for novel miRNAs by RNA folding method in the vicinity （±400 nt） of the candidates. The results showed that a total of 521 novel soybean miRNA genes, including 236 mature miRNAs, were identified. All these mature miRNAs were grouped into 58 families, of which 21 of them were novel family in soybean. The upstream 2 000 nt of potential pre-miRNAs was used for promoter prediction, in order to investigate prediction of miRNAs and detect transcript unit and clustering. In this study, rniRNA genes less tend to be present as clusters in soybean. Only 9 clusters, containing 2l miRNA genes （accounted for 4.0% of the total）, were observed as part of polycistronic transcripts. Detailed analysis of sequence characteristics of novel miRNAs in soybean and all previous known plants miRNAs, were carried out. These results of this study provide a reference point for further study on miRNAs identification in plants, and improve the understanding of genome in soybean.展开更多
Hexanol is a major compound contributing to the off-flavors(the bean-like odor)of soybean derived soymilk.The most effective way to reduce the off-flavors of soymilk is the screening and utilization of soybean cultiva...Hexanol is a major compound contributing to the off-flavors(the bean-like odor)of soybean derived soymilk.The most effective way to reduce the off-flavors of soymilk is the screening and utilization of soybean cultivars with improved hexanol content.However,no genome-wide genetic analysis for this particular trait has been conducted to date.The objective of the present study was to dissect the genetic basis of hexanol content in soybean seed through genome-wide association analysis(GWAS).A total of 105 soybean accessions were analyzed for hexanol content in a three-year experiments and genotyped by sequencing using the specific locus amplified fragment sequencing(SLAF-seq)approach.A total of 25 724 single nucleotide polymorphisms(SNPs)were obtained with minor allele frequencies(MAF)>5%.GWAS showed that 25 quantitative trait nucleotides(QTNs)were significantly associated with the hexanol concentration in soybean seed.These identified QTNs distributed on different genomic regions of the 15 chromosomes.A total of 91 genes were predicted as candidate genes underlying the seed hexanol level and six candidates were predicted possibly underlying the seed hexanol by gene based association.In this study,GWAS has been proven to be an effective way to dissect the genetic basis of the hexanol concentration in multiple genetic backgrounds.The identified beneficial alleles and candidate genes might be valuable for the improvement of marker-assisted breeding efficiency for low hexanol level and help to explore possible molecular mechanisms underlying hexanol content in soybean seed.展开更多
EST-derived SSR marker has been developed in many species,but few methods of high efficiency have been reported for the exploitation of EST-SSR markers.Thus,a high efficiency method for mining millions of redundant ES...EST-derived SSR marker has been developed in many species,but few methods of high efficiency have been reported for the exploitation of EST-SSR markers.Thus,a high efficiency method for mining millions of redundant EST data is needed.A modified method for the EST-SSR development with high efficiency was established based on the redundant EST data of soybean in this study.The method achieved its function through classifying ESTs according to the same SSR motif and detected candidate loci with redundant sequences.In this study,a total of 80 polymorphic EST-SSR markers of soybean were developed,50 of them were exploited by this modified method which proved the higher speed and efficiency of this method.All the 80 polymorphic EST-SSRs were mapped on soybean physical map through in silico mapping and 15 markers were integrated on a genetic map constructed in previous study.A software named hpSSR（high polymorphic SSR） was programmed based on the concept of the up-built method for EST-SSR development.This method is not only pragmatic for EST-SSR exploitation in soybean,but also effective for the development of the marker in other species if the redundancy EST data is available.展开更多
The importance of microRNA （miRNA） at the post-transcriptional regulation level has recently been recognized in both animals and plants. In recent years, many studies focused on miRNA target identification and funct...The importance of microRNA （miRNA） at the post-transcriptional regulation level has recently been recognized in both animals and plants. In recent years, many studies focused on miRNA target identification and functional analysis. However, little is known about the transcription and regulation of miRNAs themselves. In this study, the transcription start sites （TSSs） for 11 miRNA primary transcripts of soybean from 11 miRNA loci （of 50 loci tested） were cloned by a 5＂ rapid amplification of cDNA ends （5＂ RACE） procedure using total RNA from 30-d-old seedlings. The features consistent with a RNA polymerase II mechanism of transcription were found among these miRNA loci. A position weight matrix algorithm was used to identify conserved motifs in miRNA core promoter regions. A canonical TATA box motif was identified upstream of the major start site at 8 （76%） of the mapped miRNA loci. Several cis-acting elements were predicted in the 2 kb 5＂ to the TSSs. Potential spatial and temporal expression patterns of the miRNAs were found. The target genes for these miRNAs were also predicted and further elucidated for the potential function of the miRNAs. This research provides a molecular basis to explore regulatory mechanisms of miRNA expression, and a way to understand miRNA-mediated regulatory pathways and networks in soybean.展开更多
Soybean white mold(SWM) caused by Sclerotinia sclerotiorum is a serious disease of soybean and other plant, which is mainly distributed in the soybean producing areas of north China, east China, southwest and northeas...Soybean white mold(SWM) caused by Sclerotinia sclerotiorum is a serious disease of soybean and other plant, which is mainly distributed in the soybean producing areas of north China, east China, southwest and northeast China. The tolerance of soybean to sclerotium is partial resistance(quantitative trait), which is controlled by multiple genes. Mapping QTL and identifying candidate genes underlying soybean tolerance to SWM can accelerate the process of breeding for disease-resistant varieties. In the present study, a total of 128 lines derived from the susceptible soybean cultivar Hefeng25 and the disease tolerant soybean cultivar Maple Arrow were evaluated by in vitro and in vivo inoculation methods. A total of 78 SSR markers were used to construct linkage groups(D1 a(Chr.01), A2(Chr.08), B1(Chr.11) and F(Chr.13)) which intensively distributed SWM resistance related QTLs. Five QTLs were detected through combining two sets of phenotypic data with the composite interval mapping(CIM) method. A total of seven candidate genes located in the five QTLs were induced by Sclerotinia sclerotiorum. The SSR markers and candidate genes associated with tolerance to Sclerotinia sclerotiorum could be helpful for SWM resistance breeding in soybean.展开更多
Soyasaponins are valuable compounds in certain drugs, industry, food additives and surfactants. Selecting cultivars with higher-soyasaponin content along with agronomic traits is a main goal for many soybean breeders....Soyasaponins are valuable compounds in certain drugs, industry, food additives and surfactants. Selecting cultivars with higher-soyasaponin content along with agronomic traits is a main goal for many soybean breeders. The aim of the present study was to identify the quantitative trait loci （QTLs） associated with total soyasaponin content through a F2 population, which was derived from a cross between Ha 91016 （higher soyasaponin content cultivar, 16.8 mg gl） and N98-9445A （lower soyasaponin content, only 5.7 mg g-l）. A genetic linkage map including a total of 162 simple sequence repeat markers was constructed, which covered the total length 2 735.5 cM, and the average distance between markers was 16.96 cM. Two QTLs associated with total soyasaponin content were identified. One, qSAP1 （located in sat_044-satt102 of linkage group （LG） K）, could explain 12.6% of phenotypic variance. The other, qSAP_2, was located between satt368 and sat413 of LG Dla, which could explain 15.8% of phenotypic variance. It was concluded that the two QTLs would have some potential value for marker-assisted selection for high-soyasaponin content breeding in soybeans.展开更多
As one of the secondary metabolites,the isoflavones formed during the development of soybean[Glycine max(L.)Merr.]seeds.The total and individual isoflavone contents,a typical quantitative trait,were affected by signif...As one of the secondary metabolites,the isoflavones formed during the development of soybean[Glycine max(L.)Merr.]seeds.The total and individual isoflavone contents,a typical quantitative trait,were affected by significant genotypes of environments(GE)interaction and controlled by many genes with main or minor effects.In the present study,99 soybean cultivars,collected from northeastern China,were used to analyze the isoflavone performances.Genotype-genotype×environment(GGE)biplot software demonstrated an ability to provide information on genetic main effects than solely on phenotypic perform.Highperformance liquid chromatography(HPLC)system was used to extract and determine the isoflavone contents.The results indicated that most genotypes significantly varied among six tested environments.P40(Xiaolimoshidou)was the best-performed genotype with mean performance and stability for glycitein content across six different environments.P88(L-59Peking)was the super genotype with mean performance and stability on each tested environment for daidzein,genistein and the total isoflavone.E5(Gongzhuling in 2016)was the best environment for optimal environmental factor mining.P70(Charleston),P67(Baichengmoshidou)and P50(Jiunong 20)were the optimal genotypes with the highest field among 99 cultivars on each tested environment for genistein.P70(Charleston),P67(Baichengmoshidou)and P14(Hefeng 25)were the optimal genotypes with the highest field among 99 cultivars on each tested environment for daidzein.P40(Xiaolimoshidou),P45(Jinshanchamodou),P33(Dongnong 48)and P56(L-5)were the optimal genotypes with the highest field among 99 cultivars on each tested environment for glycitein.P70(Charleston)and P67(Baichengmoshidou)were the optimal genotypes with the highest field among 99 cultivars on each tested environment for the total isoflavone.GGE biplot was a rational method for stability and adaptation evaluation of soybean isoflavones,and could assist soybean breeder to select a good culture and a suitable tested site.It provided a scientific basis for the establishment of a breeding site and a selection site of soybean isoflavones.This study was valuable to identify genotypes with stable performances of isoflavones of these 99 cultivars for developing new cultivars.展开更多
Soybean(Glycine max)is one of the most important food crops and oil crops in the world.According to the role of sucrose transporter in sugar accumulation,GmTST2.1(Glyma.04G000300)and ZmGIF1 of sugar transport related ...Soybean(Glycine max)is one of the most important food crops and oil crops in the world.According to the role of sucrose transporter in sugar accumulation,GmTST2.1(Glyma.04G000300)and ZmGIF1 of sugar transport related genes were separately overexpressed in the soybean cultivar Heihe 43 from the perspective of regulatory source to library relationship in the study.The function of soluble sugar accumulation in grains layed a theoretical foundation for the cultivation of new varieties of high-yield genetically modified soybeans.The results showed that the height and 100-seed weight of the over-expressed GmTST2.1 gene were increased with 7%and 17.7%and the soluble sugar content was increased with 1.575 times as much as that of the wild-type soybean.The overexpressed ZmGIF1 gene was found to be 10%higher than that of plant height,1.8%higher than that of 100-seed weight and larger seed size and 1.3 times higher than that of soluble sugar content.Biological yields were increased in both GmTST2.1 and ZmGIF1 genes.展开更多
基金supported by the National High-Tech R&D Program of China (863 Program,2006AA100104-4)the Project of 948 from Ministryof Agriculture of China (2006-G5)+5 种基金the National Nature Science Foundation of China (30971810,60932008)the National Basic Research Program ofChina (973 Program, 2009CB118400)the Postdoctoral Fund in Heilongjiang Province, China (LBH-Z07228)the Foundation Projects of Northeast Agricultural University, Chinathe Technology Project of Education Ministry of Heilongjiang Province, China(11541025)the Technology Project of Harbin,China (2009RFQXN085)
文摘MicroRNAs （miRNAs） are derived from distinct loci in the genome and play crucial roles in RNA-mediated gene silencing mechanisms that regulate cellular processes during development and stress responses of plants. The miRNAs are approximately 21 nucleotides long and code for the complementary strand to a larger genic mRNA. They are often found within the complementary primary transcript （pri-miRNAs）. In the past few years, a growing number of soybean miRNAs have been discovered, however, little is known about the transcriptional regulation of these miRNAs. In this study, promoters and cis-acting elements of soybean miRNAs were analyzed using the genomic data for the first time. A total of 82 miRNAs were located among 122 loci in genome, some were present as double or multiple copies. Five clusters that included ten miRNAs were found in genome, and only one cluster share the same promoter. A total of 191 promoters from 122 loci of the soybean miRNA sequences were found and further analyzed. The results indicated that the conserved soybean miRNA genes had a greater proportion of promoters than that of non-conserved ones, and the distribution of the transcript start sites （TSSs） and TATA-boxes found had different motif styles between conserved and non-conserved miRNA genes. Furthermore, the cis-acting elements 5＇ of the TSSs were analyzed to obtain potential function and spatiotemporal expression pattern of miRNAs. The data obtained here may lead to the identification of specific sequences upstream of pre-miRNAs and the functional annotation of miRNAs in soybean.
基金supported by the National High-Tech R&D Program of China (863 Program, 2006AA100104-4)the 948 Project, Ministry of Agriculture, China (2006-G5)+5 种基金the National Natural Science Foundation of China (30971810, 60932008)the National Basic Research Program of China (973 Program, 2009CB118400)the National Genetically Modified Organisms Breeding Major Projects of China (2009ZX08009-088B)the Postdoctoral Fund in Heilongjiang Province, China (LBH-Z07228)the Technology Project of Ministry of Education, Heilongjiang Province, China (11541025)the Technology Project of Harbin, China (2009RFQXN085)
文摘The importance of microRNAs （miRNAs） at the post-transcriptional regulation level has recently been recognized in both animals and plants. In this study, the simple and most effective method of comparative genomic approach was used. First known plants miRNAs BLAST against the soybean genome, and then the located candidates were searched for novel miRNAs by RNA folding method in the vicinity （±400 nt） of the candidates. The results showed that a total of 521 novel soybean miRNA genes, including 236 mature miRNAs, were identified. All these mature miRNAs were grouped into 58 families, of which 21 of them were novel family in soybean. The upstream 2 000 nt of potential pre-miRNAs was used for promoter prediction, in order to investigate prediction of miRNAs and detect transcript unit and clustering. In this study, rniRNA genes less tend to be present as clusters in soybean. Only 9 clusters, containing 2l miRNA genes （accounted for 4.0% of the total）, were observed as part of polycistronic transcripts. Detailed analysis of sequence characteristics of novel miRNAs in soybean and all previous known plants miRNAs, were carried out. These results of this study provide a reference point for further study on miRNAs identification in plants, and improve the understanding of genome in soybean.
基金financially supported by the National R&D Program of China (2017YFD0101302)the National Natural Science Foundation of China (31671717 and 31471517)+3 种基金the National Ten-thousand Talents Program, Heilongjiang Provincial Project, China (GX17B002, JC2018007 and C2018016)the Postdoctoral Fund in Heilongjiang Province, China (LBH-Z15017 and LBH-Q17015)the ‘Youth Innovation Talent’ Project of the general undergraduate universities in Heilongjiang Province, China (UNPYSCT-2016145)the ‘Academic Backbone’ Project of Northeast Agricultural University, China (17XG22)
文摘Hexanol is a major compound contributing to the off-flavors(the bean-like odor)of soybean derived soymilk.The most effective way to reduce the off-flavors of soymilk is the screening and utilization of soybean cultivars with improved hexanol content.However,no genome-wide genetic analysis for this particular trait has been conducted to date.The objective of the present study was to dissect the genetic basis of hexanol content in soybean seed through genome-wide association analysis(GWAS).A total of 105 soybean accessions were analyzed for hexanol content in a three-year experiments and genotyped by sequencing using the specific locus amplified fragment sequencing(SLAF-seq)approach.A total of 25 724 single nucleotide polymorphisms(SNPs)were obtained with minor allele frequencies(MAF)>5%.GWAS showed that 25 quantitative trait nucleotides(QTNs)were significantly associated with the hexanol concentration in soybean seed.These identified QTNs distributed on different genomic regions of the 15 chromosomes.A total of 91 genes were predicted as candidate genes underlying the seed hexanol level and six candidates were predicted possibly underlying the seed hexanol by gene based association.In this study,GWAS has been proven to be an effective way to dissect the genetic basis of the hexanol concentration in multiple genetic backgrounds.The identified beneficial alleles and candidate genes might be valuable for the improvement of marker-assisted breeding efficiency for low hexanol level and help to explore possible molecular mechanisms underlying hexanol content in soybean seed.
基金financially supported by the National High-Tech R&D Program of China(2006AA10Z1F1)the National Core Soybean Genetic Engineering Project,China(2008ZX08004-002,2009ZX08004-002B,2009ZX08009-089B)+4 种基金the National Natural Science Foundation of China(60932008,30971810)the National Basic Research Program of China(2009CB118400)the Soybean Molecular Design Team of Education of Ministry,Chinathe Soybean Molecular Design Team of the Heilongjiang Provincial Education Department,China(11541025)the Technology Projectof Harbin,China(2009RFQXN085)
文摘EST-derived SSR marker has been developed in many species,but few methods of high efficiency have been reported for the exploitation of EST-SSR markers.Thus,a high efficiency method for mining millions of redundant EST data is needed.A modified method for the EST-SSR development with high efficiency was established based on the redundant EST data of soybean in this study.The method achieved its function through classifying ESTs according to the same SSR motif and detected candidate loci with redundant sequences.In this study,a total of 80 polymorphic EST-SSR markers of soybean were developed,50 of them were exploited by this modified method which proved the higher speed and efficiency of this method.All the 80 polymorphic EST-SSRs were mapped on soybean physical map through in silico mapping and 15 markers were integrated on a genetic map constructed in previous study.A software named hpSSR（high polymorphic SSR） was programmed based on the concept of the up-built method for EST-SSR development.This method is not only pragmatic for EST-SSR exploitation in soybean,but also effective for the development of the marker in other species if the redundancy EST data is available.
基金supported by the National High-Tech R&D Program of China (2006AA10Z1F1)the National Core Soybean Genetic Engineering Project, China(2011ZX08004-002)+3 种基金the National Natural Science Foundation of China (60932008, 30971810)the National Basic Research Program of China (2009CB118400)the Ministry of Education Innovation Team of Soybean Molecular Design,Chinathe Innovation Team of the Education Bureau of Heilongjiang Province, China
文摘The importance of microRNA （miRNA） at the post-transcriptional regulation level has recently been recognized in both animals and plants. In recent years, many studies focused on miRNA target identification and functional analysis. However, little is known about the transcription and regulation of miRNAs themselves. In this study, the transcription start sites （TSSs） for 11 miRNA primary transcripts of soybean from 11 miRNA loci （of 50 loci tested） were cloned by a 5＂ rapid amplification of cDNA ends （5＂ RACE） procedure using total RNA from 30-d-old seedlings. The features consistent with a RNA polymerase II mechanism of transcription were found among these miRNA loci. A position weight matrix algorithm was used to identify conserved motifs in miRNA core promoter regions. A canonical TATA box motif was identified upstream of the major start site at 8 （76%） of the mapped miRNA loci. Several cis-acting elements were predicted in the 2 kb 5＂ to the TSSs. Potential spatial and temporal expression patterns of the miRNAs were found. The target genes for these miRNAs were also predicted and further elucidated for the potential function of the miRNAs. This research provides a molecular basis to explore regulatory mechanisms of miRNA expression, and a way to understand miRNA-mediated regulatory pathways and networks in soybean.
基金Supported by the Youth Innovation Talent Project of the General Undergraduate Universities in Heilongjiang Province(UNPYSCT-2016145)
文摘Soybean white mold(SWM) caused by Sclerotinia sclerotiorum is a serious disease of soybean and other plant, which is mainly distributed in the soybean producing areas of north China, east China, southwest and northeast China. The tolerance of soybean to sclerotium is partial resistance(quantitative trait), which is controlled by multiple genes. Mapping QTL and identifying candidate genes underlying soybean tolerance to SWM can accelerate the process of breeding for disease-resistant varieties. In the present study, a total of 128 lines derived from the susceptible soybean cultivar Hefeng25 and the disease tolerant soybean cultivar Maple Arrow were evaluated by in vitro and in vivo inoculation methods. A total of 78 SSR markers were used to construct linkage groups(D1 a(Chr.01), A2(Chr.08), B1(Chr.11) and F(Chr.13)) which intensively distributed SWM resistance related QTLs. Five QTLs were detected through combining two sets of phenotypic data with the composite interval mapping(CIM) method. A total of seven candidate genes located in the five QTLs were induced by Sclerotinia sclerotiorum. The SSR markers and candidate genes associated with tolerance to Sclerotinia sclerotiorum could be helpful for SWM resistance breeding in soybean.
基金supported by the National Natural Science Foundation of China(30471092)
文摘Soyasaponins are valuable compounds in certain drugs, industry, food additives and surfactants. Selecting cultivars with higher-soyasaponin content along with agronomic traits is a main goal for many soybean breeders. The aim of the present study was to identify the quantitative trait loci （QTLs） associated with total soyasaponin content through a F2 population, which was derived from a cross between Ha 91016 （higher soyasaponin content cultivar, 16.8 mg gl） and N98-9445A （lower soyasaponin content, only 5.7 mg g-l）. A genetic linkage map including a total of 162 simple sequence repeat markers was constructed, which covered the total length 2 735.5 cM, and the average distance between markers was 16.96 cM. Two QTLs associated with total soyasaponin content were identified. One, qSAP1 （located in sat_044-satt102 of linkage group （LG） K）, could explain 12.6% of phenotypic variance. The other, qSAP_2, was located between satt368 and sat413 of LG Dla, which could explain 15.8% of phenotypic variance. It was concluded that the two QTLs would have some potential value for marker-assisted selection for high-soyasaponin content breeding in soybeans.
基金Supported by Heilongjiang Provincial Project(Topic JC2018007)
文摘As one of the secondary metabolites,the isoflavones formed during the development of soybean[Glycine max(L.)Merr.]seeds.The total and individual isoflavone contents,a typical quantitative trait,were affected by significant genotypes of environments(GE)interaction and controlled by many genes with main or minor effects.In the present study,99 soybean cultivars,collected from northeastern China,were used to analyze the isoflavone performances.Genotype-genotype×environment(GGE)biplot software demonstrated an ability to provide information on genetic main effects than solely on phenotypic perform.Highperformance liquid chromatography(HPLC)system was used to extract and determine the isoflavone contents.The results indicated that most genotypes significantly varied among six tested environments.P40(Xiaolimoshidou)was the best-performed genotype with mean performance and stability for glycitein content across six different environments.P88(L-59Peking)was the super genotype with mean performance and stability on each tested environment for daidzein,genistein and the total isoflavone.E5(Gongzhuling in 2016)was the best environment for optimal environmental factor mining.P70(Charleston),P67(Baichengmoshidou)and P50(Jiunong 20)were the optimal genotypes with the highest field among 99 cultivars on each tested environment for genistein.P70(Charleston),P67(Baichengmoshidou)and P14(Hefeng 25)were the optimal genotypes with the highest field among 99 cultivars on each tested environment for daidzein.P40(Xiaolimoshidou),P45(Jinshanchamodou),P33(Dongnong 48)and P56(L-5)were the optimal genotypes with the highest field among 99 cultivars on each tested environment for glycitein.P70(Charleston)and P67(Baichengmoshidou)were the optimal genotypes with the highest field among 99 cultivars on each tested environment for the total isoflavone.GGE biplot was a rational method for stability and adaptation evaluation of soybean isoflavones,and could assist soybean breeder to select a good culture and a suitable tested site.It provided a scientific basis for the establishment of a breeding site and a selection site of soybean isoflavones.This study was valuable to identify genotypes with stable performances of isoflavones of these 99 cultivars for developing new cultivars.
基金Supported by Heilongjiang Provincial Project(Topic JC2018007,GX17B002,C2018016,GJ2018GJ0098)Chinese National Natural Science Foundation(31671717)+1 种基金the Postdoctoral Fund in Heilongjiang Province(LBH-Z15017,LBH-Q17015)the National Project(CARS-04-PS04)。
文摘Soybean(Glycine max)is one of the most important food crops and oil crops in the world.According to the role of sucrose transporter in sugar accumulation,GmTST2.1(Glyma.04G000300)and ZmGIF1 of sugar transport related genes were separately overexpressed in the soybean cultivar Heihe 43 from the perspective of regulatory source to library relationship in the study.The function of soluble sugar accumulation in grains layed a theoretical foundation for the cultivation of new varieties of high-yield genetically modified soybeans.The results showed that the height and 100-seed weight of the over-expressed GmTST2.1 gene were increased with 7%and 17.7%and the soluble sugar content was increased with 1.575 times as much as that of the wild-type soybean.The overexpressed ZmGIF1 gene was found to be 10%higher than that of plant height,1.8%higher than that of 100-seed weight and larger seed size and 1.3 times higher than that of soluble sugar content.Biological yields were increased in both GmTST2.1 and ZmGIF1 genes.
