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Dive into the research topics where Qijian Song is active.

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Featured researches published by Qijian Song.


Nature | 2010

Genome sequence of the palaeopolyploid soybean

Jeremy Schmutz; Steven B. Cannon; Jessica A. Schlueter; Jianxin Ma; Therese Mitros; William Nelson; David L. Hyten; Qijian Song; Jay J. Thelen; Jianlin Cheng; Dong Xu; Uffe Hellsten; Gregory D. May; Yeisoo Yu; Tetsuya Sakurai; Taishi Umezawa; Madan K. Bhattacharyya; Devinder Sandhu; Babu Valliyodan; Erika Lindquist; Myron Peto; David Grant; Shengqiang Shu; David Goodstein; Kerrie Barry; Montona Futrell-Griggs; Brian Abernathy; Jianchang Du; Zhixi Tian; Liucun Zhu

Soybean (Glycine max) is one of the most important crop plants for seed protein and oil content, and for its capacity to fix atmospheric nitrogen through symbioses with soil-borne microorganisms. We sequenced the 1.1-gigabase genome by a whole-genome shotgun approach and integrated it with physical and high-density genetic maps to create a chromosome-scale draft sequence assembly. We predict 46,430 protein-coding genes, 70% more than Arabidopsis and similar to the poplar genome which, like soybean, is an ancient polyploid (palaeopolyploid). About 78% of the predicted genes occur in chromosome ends, which comprise less than one-half of the genome but account for nearly all of the genetic recombination. Genome duplications occurred at approximately 59 and 13 million years ago, resulting in a highly duplicated genome with nearly 75% of the genes present in multiple copies. The two duplication events were followed by gene diversification and loss, and numerous chromosome rearrangements. An accurate soybean genome sequence will facilitate the identification of the genetic basis of many soybean traits, and accelerate the creation of improved soybean varieties.


Genetics | 2007

A Soybean Transcript Map: Gene Distribution, Haplotype and Single-Nucleotide Polymorphism Analysis

Ik Young Choi; David L. Hyten; Lakshmi K. Matukumalli; Qijian Song; Julian M. Chaky; Charles V. Quigley; Kevin Chase; K. Gordon Lark; Robert Reiter; Mun Sup Yoon; Eun Young Hwang; Seung In Yi; Nevin D. Young; Randy C. Shoemaker; Curtis P. Van Tassell; James E. Specht; Perry B. Cregan

The first genetic transcript map of the soybean genome was created by mapping one SNP in each of 1141 genes in one or more of three recombinant inbred line mapping populations, thus providing a picture of the distribution of genic sequences across the mapped portion of the genome. Single-nucleotide polymorphisms (SNPs) were discovered via the resequencing of sequence-tagged sites (STSs) developed from expressed sequence tag (EST) sequence. From an initial set of 9459 polymerase chain reaction primer sets designed to a diverse set of genes, 4240 STSs were amplified and sequenced in each of six diverse soybean genotypes. In the resulting 2.44 Mbp of aligned sequence, a total of 5551 SNPs were discovered, including 4712 single-base changes and 839 indels for an average nucleotide diversity of θ = 0.000997. The analysis of the observed genetic distances between adjacent genes vs. the theoretical distribution based upon the assumption of a random distribution of genes across the 20 soybean linkage groups clearly indicated that genes were clustered. Of the 1141 genes, 291 mapped to 72 of the 112 gaps of 5–10 cM in the preexisting simple sequence repeat (SSR)-based map, while 111 genes mapped in 19 of the 26 gaps >10 cM. The addition of 1141 sequence-based genic markers to the soybean genome map will provide an important resource to soybean geneticists for quantitative trait locus discovery and map-based cloning, as well as to soybean breeders who increasingly depend upon marker-assisted selection in cultivar improvement.


BMC Genomics | 2010

High-throughput SNP discovery through deep resequencing of a reduced representation library to anchor and orient scaffolds in the soybean whole genome sequence

David L. Hyten; Steven B. Cannon; Qijian Song; Nathan Weeks; Edward W. Fickus; Randy C. Shoemaker; James E. Specht; Andrew D. Farmer; Gregory D. May; Perry B. Cregan

BackgroundThe Soybean Consensus Map 4.0 facilitated the anchoring of 95.6% of the soybean whole genome sequence developed by the Joint Genome Institute, Department of Energy, but its marker density was only sufficient to properly orient 66% of the sequence scaffolds. The discovery and genetic mapping of more single nucleotide polymorphism (SNP) markers were needed to anchor and orient the remaining genome sequence. To that end, next generation sequencing and high-throughput genotyping were combined to obtain a much higher resolution genetic map that could be used to anchor and orient most of the remaining sequence and to help validate the integrity of the existing scaffold builds.ResultsA total of 7,108 to 25,047 predicted SNPs were discovered using a reduced representation library that was subsequently sequenced by the Illumina sequence-by-synthesis method on the clonal single molecule array platform. Using multiple SNP prediction methods, the validation rate of these SNPs ranged from 79% to 92.5%. A high resolution genetic map using 444 recombinant inbred lines was created with 1,790 SNP markers. Of the 1,790 mapped SNP markers, 1,240 markers had been selectively chosen to target existing unanchored or un-oriented sequence scaffolds, thereby increasing the amount of anchored sequence to 97%.ConclusionWe have demonstrated how next generation sequencing was combined with high-throughput SNP detection assays to quickly discover large numbers of SNPs. Those SNPs were then used to create a high resolution genetic map that assisted in the assembly of scaffolds from the 8× whole genome shotgun sequences into pseudomolecules corresponding to chromosomes of the organism.


Theoretical and Applied Genetics | 2007

BARCSoySNP23: a panel of 23 selected SNPs for soybean cultivar identification

Mun-Sup Yoon; Qijian Song; I. Y. Choi; James E. Specht; David L. Hyten; Perry B. Cregan

This report describes a set of 23 informative SNPs (BARCSoySNP23) distributed on 19 of the 20 soybean linkage groups that can be used for soybean cultivar identification. Selection of the SNPs to include in this set was made based upon the information provided by each SNP for distinguishing a diverse set of soybean genotypes as well as the linkage map position of each SNP. The genotypes included the ancestors of North American cultivars, modern North American cultivars and a group of Korean cultivars. The procedure used to identify this subset of highly informative SNP markers resulted in a significant increase in the power of identification versus any other randomly selected set of equal number. This conclusion was supported by a simulation which indicated that the 23-SNP panel can uniquely distinguish 2,200 soybean cultivars, whereas sets of randomly selected 23-SNP panels allowed the unique identification of only about 50 cultivars. The 23-SNP panel can efficiently distinguish each of the genotypes within four maturity group sets of additional cultivars/lines that have identical classical pigmentation and morphological traits. Comparatively, the 13 trinucleotide SSR set published earlier (BARCSoySSR13) has more power on a per locus basis because of the multi-allelic nature of SSRs. However, the assay of bi-allelic SNP loci can be multi-plexed using non-gel based techniques allowing for rapid determination of the SNP alleles present in soybean genotypes, thereby compensating for their relatively low information content. Both BARCSoySNP23 and BARCSoySSR13 were highly congruent relative to identifying genotypes and for estimating population genetic differences.


Journal of Plant Biochemistry and Biotechnology | 2010

Determination of Seed Storage Proteins and Total Isoflavones in Wild and Cultivated Soybeans

Savithiry S. Natarajan; Devanand L. Luthria; Qijian Song; Perry B. Cregan

Two soybean components namely, storage proteins and isoflavone content in a wild and three cultivated soybean genotypes were characterized and compared. The storage proteins, β-conglycinin and glycinin were separated by two-dimensional polyacrylamide gel electrophoresis (2D-PAGE), and two major storage proteins and their subunits were characterized using mass spectrometry. The three isoflavones, aglycon and the nine conjugated forms were separated by HPLC (high performance liquid chromatography) and identified by comparison of retention time, ultraviolet and mass spectral analyses. Comparison between the number of 2D-PAGE protein spots of the storage protein subunits and HPLC area of twelve isoflavones was also evaluated. The analysis of proteins and isoflavones from the wild genotype and the three cultivated genotypes suggested possible interactions between proteins and isoflavones. The same wild genotype, which showed significant statistical differences in β-conglycinin and glycinin protein profiles also revealed considerable reduction in total isoflavones (> 55%) content.


Crop Science | 2010

A High Density Integrated Genetic Linkage Map of Soybean and the Development of a 1536 Universal Soy Linkage Panel for Quantitative Trait Locus Mapping

David L. Hyten; Ik-Young Choi; Qijian Song; James E. Specht; Thomas E. Carter; Randy C. Shoemaker; Eun-Young Hwang; Lakshmi K. Matukumalli; Perry B. Cregan


Crop Science | 2010

Abundance of SSR Motifs and Development of Candidate Polymorphic SSR Markers (BARCSOYSSR_1.0) in Soybean

Qijian Song; Gaofeng Jia; Youlin Zhu; David Grant; Rex T. Nelson; Eun-Young Hwang; David L. Hyten; Perry B. Cregan


Crop Science | 2009

Bulked Segregant Analysis Using the GoldenGate Assay to Locate the Rpp3 Locus that Confers Resistance to Soybean Rust in Soybean

David L. Hyten; James R. Smith; Reid D. Frederick; Mark L. Tucker; Qijian Song; Perry B. Cregan


Crop Science | 2009

Population Structure and Genetic Diversity of the Trinitario Cacao ( Theobroma cacao L.) from Trinidad and Tobago

Elizabeth S. Johnson; Frances L. Bekele; Steven J. Brown; Qijian Song; Dapeng Zhang; Lyndel W. Meinhardt; Raymond J. Schnell


European Journal of Plant Pathology | 2009

Genetic linkage map of Phaeosphaeria nodorum, the causal agent of stagonospora nodorum blotch disease of wheat.

Arkadiusz Malkus; Qijian Song; Perry B. Cregan; Edward Arseniuk; Peter P. Ueng

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Perry B. Cregan

United States Department of Agriculture

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James E. Specht

University of Nebraska–Lincoln

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Randy C. Shoemaker

United States Department of Agriculture

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Ik-Young Choi

Seoul National University

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David Grant

United States Department of Agriculture

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David L. Hyten

University of Nebraska–Lincoln

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Gaofeng Jia

United States Department of Agriculture

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Gregory D. May

National Center for Genome Resources

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