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RISS 인기검색어
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- 저자 : Qijian Song (검색결과 4 건)
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Qijian Song,Ik Young Choi,Nam Kee Heo,Nam Soo Kim 한국자원식물학회 1998 Plant Resources Vol.1 No.2
Fifty-nine Korean soybean (Glycine max L. Merr.) landrace accessions were tested for genotype fingerprinting, differentiation and association between morphological traits and SSR profile. Using 8 SSR loci, 59 varieties were divided into 55 groups, and only 4 pairs of varieties were not uniquely identified. The resolving power of SSR for soybean genotyping was much higher than that of the morphological traits that were studied. Identification efficiency also differed among SSR loci. Those loci with higher numbers of alleles distinguished varieties more effectively. Genetic differentiation values of the soybean landraces varied from 0.57 to 0.82 with a mean of 0.68. The number of alleles detected by the 8 loci ranged from 3 to 8, and the effective number of alleles ranged from 2.3 to 5.1. In a study of the association of SSR alleles with morphological traits, some alleles seemed to be related with some specific morphological traits. Comparison of two kinds of dendrograms which were derived from SSR markers and quantitative traits indicated that the dendrograms were not consistent. Considering the correlation between single SSR locus and qualitative traits governed by major genes, the data suggest that alleles of microsatellite loci be more closely related to some traits determined by major genes than those determined by minor genes.
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SSRFING : Microsatellite SSR Fingerprinting 분석을 위한 베이직 컴퓨터 프로그램
김남수,Song, Qijian 한국유전학회 1998 Genes & Genomics Vol.20 No.1
Since SSR or microsatellite DNA profiles are a powerful tool in fingerprinting analysis, numerous SSR loci have already been developed and genetic data have been collected in many plant species. To facilitate the data processing, a computer program for plant DNA fingerprinting analysis was developed, and applied to identify modern soybean varieties. The SSRFING program can identify varieties with the same or different DNA profiles using single locus or combined loci information, select the best primer sets, and estimate the parameters which are frequently used, such as effective allele number, differentiation ratio, etc. The program consisting of main menu and different files, can run on any IBM-compatible computer under the DOS operating system as well as be applied to other molecular markers besides SSR for the same purposes.
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miR156b from Soybean CMS Line Modulates Floral Organ Development
Xianlong Ding,Hui Ruan,Lifeng Yu,Qiang Li,Qijian Song,Shouping Yang,Junyi Gai 한국식물학회 2020 Journal of Plant Biology Vol.63 No.2
The miR156 and plant specifc transcription factor SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) are known for their function regulating plant growth and development. In this study, we identifed 20 GmSPLs which are targeted by gma-miR156b via plant small RNA target and degradome analysis. And we found high transcript levels of gma-miR156b and its targeted GmSPLs in the fower of soybean cytoplasmic male sterility (CMS) line and its maintainer. The gma-miR156b direct cleavage of GmSPL2b and GmSPL9b, and have opposite expression levels during early fower buds development. We observed a high expression level of GUS protein in the anthers of the line with pgma-MIR156b::GUS reporter. Over-expression of the gma-miR156b precursor in Arabidopsis inhibited foral organ development, including reduced anther size and the amount of pollen grains per anther etc. Like miR156-targeted SPL genes, non-targeted GmSPL8s were also down-regulated in early fower bud development of soybean CMS line compared with its maintainer line, which might act in concert with miR156-targeted SPL genes to participate in the foral organ development. Quantitative real time PCR (qRT-PCR) suggested that miR156/SPL modulates foral organ development by regulating the expression of LATERAL ORGAN BOUNDARIES DOMAIN22 (LBD22), LBD36, AGAMOUS-LIKE30 (AGL30) and AGL104. Our fndings will facilitate understanding of the biological functions of miR156/SPL in foral organ development of soybean CMS.
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Christopher J Smallwood,Jason D Gillman,Arnold M Saxton,Hem S Bhandari,Phillip A Wadl,Benjamin D Fallen,David L Hyten,Qijian Song,Vincent R Pantalone 한국작물학회 2017 Journal of crop science and biotechnology Vol.20 No.4
Soybean [Glycine max (L.) Merrill] yield and seed fatty acids, protein, and oil content are important traits for which an improved understanding of significant genomic regions would be useful. To accomplish this, a soybean population consisting of 203 F5 derived recombinant inbred lines (RILs) was developed and genotyped with 11,633 polymorphic single nucleotide polymorphisms (SNPs). Each RIL was grown in a single plot at Knoxville, TN in 2010; followed by replicated, multi-location field trials in 2013 and 2014. The data from 2010, 2013, and 2014 were analyzed together in order to detect quantitative trait loci (QTL) for these traits, and 30 total QTLs were detected. Five QTLs are candidates for confirmed status and one QTL is a candidate for positional confirmation. Many of the genes with mutations in close proximity to the fatty acid QTLs are involved in biological processes for fatty acids and/or lipids and could be considered possible candidate genes. Similarly, genes with mutations in genomic regions near yield, protein, and oil QTLs were plentiful and may contribute to the variation observed in these traits. Except for yield and stearic acid, each trait displayed pleiotropic effects with other traits in this study. Notable are the pleiotropic effects for oleic and linolenic acid on chromosomes 9, 13, and 19. Overall, the findings from this research contribute new information to the genetic understanding of soybean yield and seed fatty acids, protein and oil content. This understanding will be useful in making trait improvements.
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