There is a rapidly rising trend in the development and application of molecular marker assays for gene map- ping and discovery in field crops and trees. Thus far, more than 50 SNP arrays and 15 different types of geno...There is a rapidly rising trend in the development and application of molecular marker assays for gene map- ping and discovery in field crops and trees. Thus far, more than 50 SNP arrays and 15 different types of genotyping-by-sequencing （GBS） platforms have been developed in over 25 crop species and perennial trees. However, much less effort has been made on developing ultra-high-throughput and cost-effective genotyping platforms for applied breeding programs. In this review, we discuss the scientific bottlenecks in existing SNP arrays and GBS technologies and the strategies to develop targeted platforms for crop mo- lecular breeding. We propose that future practical breeding platforms should adopt automated genotyping technologies, either array or sequencing based, target functional polymorphisms underpinning economic traits, and provide desirable prediction accuracy for quantitative traits, with universal applications under wide genetic backgrounds in crops. The development of such platforms faces serious challenges at both the technological level due to cost ineffectiveness, and the knowledge level due to large genotype- phenotype gaps in crop plants. It is expected that such genotyping platforms will be achieved in the next ten years in major crops in consideration of （a） rapid development in gene discovery of important traits, （b） deepened understanding of quantitative traits through new analytical models and population designs, （c） integration of multi-layer -omics data leading to identification of genes and pathways responsible for important breeding traits, and （d） improvement in cost effectiveness of large-scale genotyping. Crop breeding chips and genotyping platforms will provide unprecedented opportunities to accelerate the development of cultivars with desired yield potential, quality, and enhanced adaptation to mitigate the effects of climate change.展开更多
A high-density single nucleotide polymorphism （SNP） array is critically important for geneticists and molecu- lar breeders. With the accumulation of huge amounts of genomic re-sequencing data and available technolog...A high-density single nucleotide polymorphism （SNP） array is critically important for geneticists and molecu- lar breeders. With the accumulation of huge amounts of genomic re-sequencing data and available technologies for accurate SNP detection, it is possible to design high-density and high-quality rice SNP arrays. Here we report the devel- opment of a high-density rice SNP array and its utility. SNP probes were designed by screening more than 10 000 000 SNP loci extracted from the re-sequencing data of 801 rice varieties and an array named RiceSNP50 was produced on the Illumina Infinium platform. The array contained 51 478 evenly distributed markers, 68% of which were within genic regions. Several hundred rice plants with parent/F1 relationships were used to generate a high-quality cluster file for accurate SNP calling. Application tests showed that this array had high genotyping accuracy, and could be used for dif- ferent objectives. For example, a core collection of elite rice varieties was clustered with fine resolution. Genome-wide association studies （GWAS） analysis correctly identified a characterized QTL. Further, this array was successfully used for variety verification and trait introgression. As an accurate high-throughput genotyping tool, RiceSNP50 will play an important role in both functional genomics studies and molecular breeding.展开更多
Single nucleotide polymorphisms （SNPs） are the most abundant sequence variations found in plant genomes and are widely used as molecular genetic markers in cultivar identification and genetic diversity studies. The ...Single nucleotide polymorphisms （SNPs） are the most abundant sequence variations found in plant genomes and are widely used as molecular genetic markers in cultivar identification and genetic diversity studies. The objective of this study was to identify SNP markers useful for discrimination of citrus cultivars, since large numbers of expressed sequence tags （ESTs） of sweet orange are available from the National Center for Biotechnology Information （NCBI）. We now have the opportunity to discover SNP markers suitable for determining the haplotypes with which to distinguish very closely related cultivars and to assess genetic diversity within or between related species of citrus. SNPs and small insertions/deletions （Indels） from ESTs of sweet orange and satsuma were identified by the in silico SNP discovery strategy. 55 296 EST sequences of sweet orange and 2 575 of satsuma retrieved from the NCBI repository were mined for potential SNPs. Cleaved amplified polymorphic sequences （CAPS） and sequencing approaches were used to validate putative SNPs in a sample of 30 citrus accessions. A total of 3 348 putative SNPs were identified based on the abundance of sequences and haplotype cosegregation. Of these 3 348 SNPs, the transitions, transversions and Indels ratios were 47.9, 36.1 and 16.0%, respectively. The SNPs occurred on average at a frequency of 1 per 164 bp in the coding region of citrus. 14 SNPs were randomly selected and genotyped according to 30 citrus accessions including 23 accessions of sweet orange; 11 SNPs displayed polymorphism with an average polymorphism information content （PIC） of 0.20 among 30 citrus accessions. The genetic diversity present in sweet orange was low, so the 14 SNP markers failed to discriminate different cultivars of sweet orange, but they did succeed in distinguishing accessions of inter-species of citrus. In this study, SNPs were mined from EST sequences of sweet orange and satsuma, which displayed potential capability as molecular markers to discriminate in展开更多
Prostate cancer （PCa） research in China has been on a rocketing trend in recent years. The first genome-wide association study （GWAS） in China identified two new PCa risk associated single nucleotide polymorphisms...Prostate cancer （PCa） research in China has been on a rocketing trend in recent years. The first genome-wide association study （GWAS） in China identified two new PCa risk associated single nucleotide polymorphisms （SNPs）. Next generation sequencing is beginning to be used, yielding novel findings： gene fusions, long non-coding RNAs and other variations. Mechanisms of PCa progression have been illustrated while various diagnosis biomarkers have been investigated extensively. Personalized therapy based on genetic factors, nano-medicine and traditional Chinese medicine has been the focus of experimental therapeutic research for PCa. This review intends to shed light upon the recent progress in PCa research in China and points out the possible breakthroughs in the future.展开更多
With completion of the Populus genome sequencing project and the availability of many expressed sequence tags （ESTs） databases in forest trees, attention is now rapidly shifting towards the study of individual genet...With completion of the Populus genome sequencing project and the availability of many expressed sequence tags （ESTs） databases in forest trees, attention is now rapidly shifting towards the study of individual genetic variation in natural populations. The most abundant form of genetic variation in many eukaryotic species is represented by single nucleotide polymorphisms （SNPs）, which can account for heritable inter-individual differences in complex phenotypes. Unlike humans, the linkage disequilibrium （LD） rapidly decays within candidate genes in forest trees. Thus, SNPs-based candidate gene association studies are considered to be a most effective approach to dissect the complex quantitative traits in forest trees. The present study demonstrates that LD mapping can be used to identify alleles associated with quantitative traits and suggests that this new approach could be particularly useful for performing breeding programs in forest trees. In this review, we will describe the fundamentals, patterns of SNPs distribution and frequency, summarize recent advances in SNPs discovery and LD and comment on the application of LD in the dissection of complex quantitative traits in forest tress. We also put forward the outlook for future SNPs-based association analysis of quantitative traits in forest trees.展开更多
Objective： The inhibition of the neovascularization in tumors is a potential therapeutic target of cancer. Vascular endothelial growth inhibitor （VEGI） is a member of the TNF superfamily which has the ability to su...Objective： The inhibition of the neovascularization in tumors is a potential therapeutic target of cancer. Vascular endothelial growth inhibitor （VEGI） is a member of the TNF superfamily which has the ability to suppress the formation of new vessels in tumors. In order to study the association between VEGI gene polymorphisms and breast cancer risk, a case-control study was conducted in Chinese Han women in Northeast China. Methods： Our study involved 708 female breast cancer patients and 685 healthy volunteers. Four SNPs of VEGI gene were analyzed through the polymerase chain reaction-restriction fragment length polymorphism （PCR-RFLP） method. The association between VEGI gene polymorphisms and breast cancer risk was analyzed in our study. The relation between VEGI gene variants and clinical features of breast cancer including lymph node （LN） metastasis, esl^ogen receptor （ER）, progestrogen receptor （PR）, tumor protein 53 （1953）, human epidermal growth factor receptor 2 （Her-2） and triple negative （ER-/PR-/Her-2-） status was analyzed as well. Results： We found that the CT genotype and T allele of rs6478106 were more frequent in patients than in controls. There was also a statistical difference in the distribution of Crs6478106Grs4263839 haplotype between patients and controls. In addition, SNP rs6478106 and rs4979462 were related with the Her-2 status. Conclusions： Our results suggest that VEGI gene variants may be related to the breast cancer risk and the clinical features of breast cancer in Chinese Han women in Northeast China.展开更多
BACKGROUND：5-1ipoxygenase protein （ALOX5AP） has been recognized as a susceptibility gene for stroke and coronary artery diseases. The present study was to explore the role of this gene in the eastern Chinese patien...BACKGROUND：5-1ipoxygenase protein （ALOX5AP） has been recognized as a susceptibility gene for stroke and coronary artery diseases. The present study was to explore the role of this gene in the eastern Chinese patients with ischemic stroke.METHODS： Using a case-control design, we studied 658 patients with ischemic stroke and 704 unrelated population-based controls who were age- and sex-matched. The 658 patients were classified by the Trial of Org 10172 in Acute Stroke Treatment （TOAST）. Two single-nucleotide polymorphisms （SNPs） covering ALOX5AP were genotyped. RESULTS： The genotype frequencies of TG of the SNPs rs17222919 located in the promoter of the ALOX5AP gene were significantly higher in patients with ischemic stroke than in controls （OR＊=1.34, 95%C1＊=1.02-1.75）, especially in patients with ischemic stroke caused by small-artery occlusion （SAO） （OR＊=1.40, 95%C1＊=1.02-1.93）. Meanwhile, the genotype frequencies of TG and TG/ GG were higher in female patients than in the controls. After specification, the genotype frequencies of TG and TG/GG were higher in the patients than in controls with hypertension. The genotype frequencies of AG and AG/GG of the SNPs rs9579646 located in the intron of the ALOX5AP gene were higher in the controls than in the patients. After specification, the genotype frequencies of TG were higher in the controls than patients without hypertension. CONCLUSIONS： The present study suggests that sequence variants in the ALOX5AP gene are significantly associated with ischemic stroke.展开更多
基金This study was supported by the National Key Research and Development Program of China （2016YFD0101802 and 2016YFE0108600） and National Natural Science Foundation of China （31550110212）.
文摘There is a rapidly rising trend in the development and application of molecular marker assays for gene map- ping and discovery in field crops and trees. Thus far, more than 50 SNP arrays and 15 different types of genotyping-by-sequencing （GBS） platforms have been developed in over 25 crop species and perennial trees. However, much less effort has been made on developing ultra-high-throughput and cost-effective genotyping platforms for applied breeding programs. In this review, we discuss the scientific bottlenecks in existing SNP arrays and GBS technologies and the strategies to develop targeted platforms for crop mo- lecular breeding. We propose that future practical breeding platforms should adopt automated genotyping technologies, either array or sequencing based, target functional polymorphisms underpinning economic traits, and provide desirable prediction accuracy for quantitative traits, with universal applications under wide genetic backgrounds in crops. The development of such platforms faces serious challenges at both the technological level due to cost ineffectiveness, and the knowledge level due to large genotype- phenotype gaps in crop plants. It is expected that such genotyping platforms will be achieved in the next ten years in major crops in consideration of （a） rapid development in gene discovery of important traits, （b） deepened understanding of quantitative traits through new analytical models and population designs, （c） integration of multi-layer -omics data leading to identification of genes and pathways responsible for important breeding traits, and （d） improvement in cost effectiveness of large-scale genotyping. Crop breeding chips and genotyping platforms will provide unprecedented opportunities to accelerate the development of cultivars with desired yield potential, quality, and enhanced adaptation to mitigate the effects of climate change.
基金grants from the National High Technology Research and Development Program of China，the National Program on Key Basic Research Project of China，the National Natural Science Foundation of China，Guangdong Innovative Research Team Program，the Ministry of Agriculture of China
文摘A high-density single nucleotide polymorphism （SNP） array is critically important for geneticists and molecu- lar breeders. With the accumulation of huge amounts of genomic re-sequencing data and available technologies for accurate SNP detection, it is possible to design high-density and high-quality rice SNP arrays. Here we report the devel- opment of a high-density rice SNP array and its utility. SNP probes were designed by screening more than 10 000 000 SNP loci extracted from the re-sequencing data of 801 rice varieties and an array named RiceSNP50 was produced on the Illumina Infinium platform. The array contained 51 478 evenly distributed markers, 68% of which were within genic regions. Several hundred rice plants with parent/F1 relationships were used to generate a high-quality cluster file for accurate SNP calling. Application tests showed that this array had high genotyping accuracy, and could be used for dif- ferent objectives. For example, a core collection of elite rice varieties was clustered with fine resolution. Genome-wide association studies （GWAS） analysis correctly identified a characterized QTL. Further, this array was successfully used for variety verification and trait introgression. As an accurate high-throughput genotyping tool, RiceSNP50 will play an important role in both functional genomics studies and molecular breeding.
基金supported by the National Natural Science Foundation of China(2006BAD13B06-1-4)the Natural Science Foundation of Chongqing,China (CSTC,2007BB1343)
文摘Single nucleotide polymorphisms （SNPs） are the most abundant sequence variations found in plant genomes and are widely used as molecular genetic markers in cultivar identification and genetic diversity studies. The objective of this study was to identify SNP markers useful for discrimination of citrus cultivars, since large numbers of expressed sequence tags （ESTs） of sweet orange are available from the National Center for Biotechnology Information （NCBI）. We now have the opportunity to discover SNP markers suitable for determining the haplotypes with which to distinguish very closely related cultivars and to assess genetic diversity within or between related species of citrus. SNPs and small insertions/deletions （Indels） from ESTs of sweet orange and satsuma were identified by the in silico SNP discovery strategy. 55 296 EST sequences of sweet orange and 2 575 of satsuma retrieved from the NCBI repository were mined for potential SNPs. Cleaved amplified polymorphic sequences （CAPS） and sequencing approaches were used to validate putative SNPs in a sample of 30 citrus accessions. A total of 3 348 putative SNPs were identified based on the abundance of sequences and haplotype cosegregation. Of these 3 348 SNPs, the transitions, transversions and Indels ratios were 47.9, 36.1 and 16.0%, respectively. The SNPs occurred on average at a frequency of 1 per 164 bp in the coding region of citrus. 14 SNPs were randomly selected and genotyped according to 30 citrus accessions including 23 accessions of sweet orange; 11 SNPs displayed polymorphism with an average polymorphism information content （PIC） of 0.20 among 30 citrus accessions. The genetic diversity present in sweet orange was low, so the 14 SNP markers failed to discriminate different cultivars of sweet orange, but they did succeed in distinguishing accessions of inter-species of citrus. In this study, SNPs were mined from EST sequences of sweet orange and satsuma, which displayed potential capability as molecular markers to discriminate in
基金This work was supported by grants from the National Basic Research Program of China （No. 2012CD518300）, the National Natural Science Foundation of China （No. 81101946）, and the Prostate Cancer Foundation Young Investigator Award, and Shanghai Pujiang Program （12PJD008）.
文摘Prostate cancer （PCa） research in China has been on a rocketing trend in recent years. The first genome-wide association study （GWAS） in China identified two new PCa risk associated single nucleotide polymorphisms （SNPs）. Next generation sequencing is beginning to be used, yielding novel findings： gene fusions, long non-coding RNAs and other variations. Mechanisms of PCa progression have been illustrated while various diagnosis biomarkers have been investigated extensively. Personalized therapy based on genetic factors, nano-medicine and traditional Chinese medicine has been the focus of experimental therapeutic research for PCa. This review intends to shed light upon the recent progress in PCa research in China and points out the possible breakthroughs in the future.
文摘With completion of the Populus genome sequencing project and the availability of many expressed sequence tags （ESTs） databases in forest trees, attention is now rapidly shifting towards the study of individual genetic variation in natural populations. The most abundant form of genetic variation in many eukaryotic species is represented by single nucleotide polymorphisms （SNPs）, which can account for heritable inter-individual differences in complex phenotypes. Unlike humans, the linkage disequilibrium （LD） rapidly decays within candidate genes in forest trees. Thus, SNPs-based candidate gene association studies are considered to be a most effective approach to dissect the complex quantitative traits in forest trees. The present study demonstrates that LD mapping can be used to identify alleles associated with quantitative traits and suggests that this new approach could be particularly useful for performing breeding programs in forest trees. In this review, we will describe the fundamentals, patterns of SNPs distribution and frequency, summarize recent advances in SNPs discovery and LD and comment on the application of LD in the dissection of complex quantitative traits in forest tress. We also put forward the outlook for future SNPs-based association analysis of quantitative traits in forest trees.
基金supported by a grant from the National Natural Science Foundation of China(31070780)the Major Project of Technology Department,Heilongjiang Province(GB05C402)
文摘Objective： The inhibition of the neovascularization in tumors is a potential therapeutic target of cancer. Vascular endothelial growth inhibitor （VEGI） is a member of the TNF superfamily which has the ability to suppress the formation of new vessels in tumors. In order to study the association between VEGI gene polymorphisms and breast cancer risk, a case-control study was conducted in Chinese Han women in Northeast China. Methods： Our study involved 708 female breast cancer patients and 685 healthy volunteers. Four SNPs of VEGI gene were analyzed through the polymerase chain reaction-restriction fragment length polymorphism （PCR-RFLP） method. The association between VEGI gene polymorphisms and breast cancer risk was analyzed in our study. The relation between VEGI gene variants and clinical features of breast cancer including lymph node （LN） metastasis, esl^ogen receptor （ER）, progestrogen receptor （PR）, tumor protein 53 （1953）, human epidermal growth factor receptor 2 （Her-2） and triple negative （ER-/PR-/Her-2-） status was analyzed as well. Results： We found that the CT genotype and T allele of rs6478106 were more frequent in patients than in controls. There was also a statistical difference in the distribution of Crs6478106Grs4263839 haplotype between patients and controls. In addition, SNP rs6478106 and rs4979462 were related with the Her-2 status. Conclusions： Our results suggest that VEGI gene variants may be related to the breast cancer risk and the clinical features of breast cancer in Chinese Han women in Northeast China.
基金supported by Research Foundation of Jiangsu Province Hygiene Committee(H201005)
文摘BACKGROUND：5-1ipoxygenase protein （ALOX5AP） has been recognized as a susceptibility gene for stroke and coronary artery diseases. The present study was to explore the role of this gene in the eastern Chinese patients with ischemic stroke.METHODS： Using a case-control design, we studied 658 patients with ischemic stroke and 704 unrelated population-based controls who were age- and sex-matched. The 658 patients were classified by the Trial of Org 10172 in Acute Stroke Treatment （TOAST）. Two single-nucleotide polymorphisms （SNPs） covering ALOX5AP were genotyped. RESULTS： The genotype frequencies of TG of the SNPs rs17222919 located in the promoter of the ALOX5AP gene were significantly higher in patients with ischemic stroke than in controls （OR＊=1.34, 95%C1＊=1.02-1.75）, especially in patients with ischemic stroke caused by small-artery occlusion （SAO） （OR＊=1.40, 95%C1＊=1.02-1.93）. Meanwhile, the genotype frequencies of TG and TG/ GG were higher in female patients than in the controls. After specification, the genotype frequencies of TG and TG/GG were higher in the patients than in controls with hypertension. The genotype frequencies of AG and AG/GG of the SNPs rs9579646 located in the intron of the ALOX5AP gene were higher in the controls than in the patients. After specification, the genotype frequencies of TG were higher in the controls than patients without hypertension. CONCLUSIONS： The present study suggests that sequence variants in the ALOX5AP gene are significantly associated with ischemic stroke.
