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| 1 | Genome-wide Scan for Seed Composition Provides Insights into Soybean Quality Improvement and the Impacts of Domestication and Breeding显示文摘优秀特点的复杂基因建筑学妨碍了努力在大豆修改种子营养素。染色体宽的协会研究为种子作文被进行,包括蛋白质,油,丰满的酸,和氨基酸,用有一个高密度的 SNP 数组的 313 多样的大豆 germplasm 就职 genotyped。87 个 chromosomal 区域的一个总数被识别与种子作文被联系,解释基因变化的 8%-89% 。已知的功能的候选人基因 GmSAT1, AK-HSDH, SACPD-C,和 FAD3A,和通常认为的 MtN21 nodulin, FATB,和 steroid-5 -- 涉及 N 2 固定,氨基酸生合成,和丰满的酸新陈代谢的 reductase 在主要效果的 loci 被发现。另外的 germplasm 就职的进一步的分析显示这些主要效果的 loci 受到了驯服或现代繁殖选择,并且突变而产生之遗传的变体和分布与地理区域相关。我们也表明与种子重量有关并且到全部的蛋白质的氨基酸集中有一个不同基因基础。这帮助揭开在种子之中的复杂关系的深入的基因机制加重。因此,我们的学习不仅为大豆营养素改进提供珍贵基因和标记,份量上和品质上,而且进在驯服期间优秀、引起的大豆的改变的提议卓见。 | Jiaoping Zhang Xianzhi Wang Yaming Lu Siddhi J. Bhusal Qijian Song Perry B. Cregan Yang Yen Michael Brown Guo-Liang Jiang | 2018 | Molecular Plant2018，11，3： | 12 |
| 2 | QNE1 is a key flowering regulator determining the length of the vegetative period in soybean cultivars显示文摘The soybean E1 gene is a major regulator that plays an important role in flowering time and maturity.However,it remains unclear how cultivars carrying the dominant E1 allele adapt to the higher latitudinal areas of northern China.We mapped the novel quantitative trait locus QNE1(QTL near E1) for flowering time to the region proximal to E1 on chromosome 6 in two mapping populations.Positional cloning revealed Glyma.06G204300,encoding a TCP-type transcription factor,as a strong candidate gene for QNE1.Association analysis further confirmed that functional single nucleotide polymorphisms(SNPs) at nucleotides 686 and 1,063 in the coding region of Glyma.06G204300 were significantly associated with flowering time.The protein encoded by the candidate gene is localized primarily to the nucleus.Furthermore,soybean and Brassica napus plants overexpressing Glyma.06G204300 exhibited early flowering.We conclude that despite their similar effects on flowering time,QNE1 and E4 may control flowering time through different regulatory mechanisms,based on expression studies and weighted gene co-expression network analysis of flowering time-related genes.Deciphering the molecular basis of QNE1 control of flowering time enriches our knowledge of flowering gene networks in soybean and will facilitate breeding soybean cultivars with broader latitudinal adaptation. | Zhengjun Xia Hong Zhai Yanfeng Zhang Yaying Wang Lu Wang Kun Xu Hongyan Wu Jinglong Zhu Shuang Jiao Zhao Wan Xiaobin Zhu Yi Gao Yingxiang Liu Rong Fan Shihao Wu Xin Chen Jinyu Liu Jiayin Yang Qijian Song Zhixi Tian | 2022 | Science China(Life Sciences)2022，65，12： | 1 |
| 3 | Genomic dissection of widely planted soybean cultivars leads to a new breeding strategy of crops in the post-genomic era显示文摘Soybeans specially the widely planted cultivars have been dramatically improved in agronomic performance and is well adapted to local planting environments after long-time domestication and breeding.Uncovering the unique genomic features of popular cultivars will help to understand how soybean genomes have been modified through breeding.We re-sequenced 134 soybean cultivars that were released and most widely planted over the last century in China.Phylogenetic analyses established that these cultivars comprise two geographically distinct sub-populations:Northeast China (NE) versus the HuangHuai-Hai River Valley and South China (HS).A total of 309 selective regions were identified as being impacted by geographical origins.The HS sub-population exhibited higher genetic diversity and linkage disequilibrium decayed more rapidly compared to the NE sub-population.To study the association between phenotypic differences and geographical origins,we recorded the vegetative period under different growing conditions for two years,and found that clustering based on the phenotypic data was closely correlated with cultivar geographical origin.By iteratively calculating accumulated genetic diversity,we established a platform panel of cultivars and have proposed a novel breeding strategy named 'Potalaization'for selecting and utilizing the platform cultivars that represent the most genetically diversity and the highest available agronomic performance as the 'plateau'for accumulating elite loci and traits,breeding novel widely adapted cultivars,and upgrading breeding technology.In addition to providing new genomic information for the soybean research community,the 'Potalaization'strategy that we devised will also be practical for integrating the conventional and molecular breeding programs of crops in the post-genomic era. | Xinpeng Qi Bingjun Jiang Tingting Wu Shi Sun Caijie Wang Wenwen Song Cunxiang Wu Wensheng Hou Qijian Song Hon-Ming Lam Tianfu Han | 2021 | The Crop Journal2021，9，5： | 1 |
| 4 | A BASIC computer program for DNA finger printinganalysis with microsatellite SSR information显示文摘 | Qijian Song and Nam-sooKim | 1998 | Korean Journal of Genetics1998，20，1： | 1 |
| 5 | ABASIC computer program for DNAfinger printing analysis with microsatellite SSR information显示文摘 | QIJIAN SONG NASOO KIM | 1998 | Korean Journal of Genetics1998，20，1： | 1 |
| 6 | Estimation of genetic parameters and their sampling variances for quantitative traits in the type 2 modified augmented design显示文摘The type 2 modified augmented design(MAD2) is an efficient unreplicated experimental design used for evaluating large numbers of lines in plant breeding and for assessing genetic variation in a population. Statistical methods and data adjustment for soil heterogeneity have been previously described for this design. In the absence of replicated test genotypes in MAD2, their total variance cannot be partitioned into genetic and error components as required to estimate heritability and genetic correlation of quantitative traits, the two conventional genetic parameters used for breeding selection. We propose a method of estimating the error variance of unreplicated genotypes that uses replicated controls, and then of estimating the genetic parameters. Using the Delta method, we also derived formulas for estimating the sampling variances of the genetic parameters.Computer simulations indicated that the proposed method for estimating genetic parameters and their sampling variances was feasible and the reliability of the estimates was positively associated with the level of heritability of the trait. A case study of estimating the genetic parameters of three quantitative traits, iodine value, oil content, and linolenic acid content, in a biparental recombinant inbred line population of flax with 243 individuals, was conducted using our statistical models. A joint analysis of data over multiple years and sites was suggested for genetic parameter estimation. A pipeline module using SAS and Perl was developed to facilitate data analysis and appended to the previously developed MAD data analysis pipeline(http://probes.pw.usda.gov/bioinformatics_ tools/MADPipeline/index.html). | Frank M.You Qijian Song Gaofeng Jia Yanzhao Cheng Scott Duguid Helen Booker Sylvie Cloutier | 2016 | The Crop Journal2016，4，2： | 1 |
| 7 | Genotype fingerprinting, differentiation and association between morphological traits and SSR information of soybean landraces显示文摘 | Qijian Song Kyo- Moon Shim Nam - Soo Kim | 1998 | Plant Resource1998，，2： | 1 |
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