Molecular Genetic Identification and Certification of Soybean (Glycine max L.) Cultivars

An approach to certification of soybean genotypes has been developed. The procedure employs three methods of DNA analysis based on polymerase chain reaction (PCR): PCR with arbitrary primers (AP PCR), simple sequence repeat polymorphism (SSRP) analysis, and inter-simple sequence repeat (ISSR) analysis. The approach to certification proposed may be used in both genetic and breeding research and seed production. A certificate form that reflects the unique characteristics of each cultivar studied is proposed. The results of molecular genetic analysis of allele distribution in genotypes of soybean from different ecological geographic zones permit estimation of the adaptive significance of individual alleles.     

SSR analysis of 38 genotypes of soybean (Glycine Max (L.) Merr.) genetic diversity in India

Sixteen polymorphic Simple sequence repeat (SSR) markers were used to determine the genetic diversity and varietal identification among 38 soybean (Glycine max (L.) Merr.) genotypes which are at present under seed multiplication chain in India. A total of 51 alleles with an average of 2.22 alleles per locus were detected. The polymorphic information content (PIC) among genotypes varied from 0.049 (Sat_243 and Satt337) to 0.526 (Satt431) with an average of 0.199. The pair wise genetic similarity between soybean varieties varied from 0.56 to 0.97 with an average of 0.761. These 16 SSR markers successfully distinguished 12 of the 38 soybean genotypes. These results suggest that used SSR markers are efficient for measuring genetic diversity and relatedness as well as identifying varieties of soybeans. Diverse genetic materials may be used for genetic improvements of soybean genotypes.     

In silico single nucleotide polymorphism discovery and application to marker-assisted selection in soybean

The general approach to discovering single nucleotide polymorphisms (SNPs) requires locus-specific PCR amplification. To enhance the efficiency of SNP discovery in soybean, we used in silico analysis prior to re-sequencing as it is both rapid and inexpensive. In silico analysis was performed to detect putative SNPs in expressed sequence tag (EST) contigs assembled using publicly available ESTs from 18 different soybean genotypes. SNP validation by direct sequencing of six soybean cultivars and a wild soybean genotype was performed with PCR primers designed from EST contigs aligned with at least 5 out of 18 soybean genotypes. The efficiency of SNP discovery among the confirmation genotypes was 81.2%. Furthermore, the efficiency of SNP discovery between Pureunkong and Jinpumkong 2 genotypes was 47.4%, a great improvement on our previous finding based on direct sequencing (22.3%). Using SNPs between Pureunkong and Jinpumkong 2 in EST contigs, which were linked to target traits, we were able to genotype 90 recombinant inbred lines by high-resolution melting (HRM) analysis. These SNPs were mapped onto the expected locations near quantitative trait loci for water-logging tolerance and seed pectin concentration. Thus, our protocol for HRM analysis can be applied successfully not only to genetic diversity studies, but also to marker-assisted selection (MAS). Our study suggests that a combination of in silico analysis and HRM can reduce the cost and labor involved in developing SNP markers and genotyping SNPs. The markers developed in this study can also easily be applied to MAS if the markers are associated with the target traits.     

Identification and registration of corn genotypes using molecular markers

In plant genetics and breeding, second-generation molecular markers allow detailed characterization of plant genotypes. Unique genotypes at ten simple sequence repeat (SSR) loci were established for 40 maize accessions by means of PCR. For every locus, SSR analysis revealed heterozygotes among simple hybrids, which made it possible to identify the parental forms with a high probability of exclusion of nonparental forms. A system was proposed for registration of maize genotypes in the form of genetic formulas reflecting the allelic state of microsatellite loci, in order to catalog, preserve, and effectively employ the existing maize gene pool in breeding.     

Length Polymorphisms of Simple Sequence Repeat DNA in Soybean

The objective of this work was to ascertain the presence and degree of simple sequence repeat (SSR) DNA length polymorphism in the soybean [Glycine max (L.) Merr.]. A search of GenBank revealed no (CA)n or (GT)n SSRs with n greater than 8 in soybean. In contrast, 5 (AT)n and 1 (ATT)n SSRs with n ranging from 14 to 27 were detected. Polymerase chain reaction (PCR) primers to regions flanking the six SSR loci were used in PCR amplification of DNA from 43 homozygous soybean genotypes. At three loci, amplification produced one PCR product per genotype and revealed 6, 7 and 8 product length variants (alleles) at the three loci, respectively. F1 hybrids between parents carrying different alleles produced two PCR products identical to the two parents. Codominant segregation of alleles among F2 progeny was demonstrated at each locus. A soybean DNA library was screened for the presence of (CA/GT)n SSRs. Sequencing of positive clones revealed that the longest such SSR was (CA)9. Thus, (CA)n SSRs with n of 15 or more are apparently much less common in soybean than in the human genome. In contrast to humans, (CA)n SSRs will probably not provide an abundant source of genetic markers in soybean. However, the apparent abundance of long (AT)n sequences should allow this SSR to serve as a source of highly polymorphic genetic markers in soybean.     

Problems with and a system to eliminate single-primer PCR product contamination in simple sequence repeat molecular marker-assisted selection in soybean

Polymerase chain reaction (PCR) provides a foundation for simple sequence repeat molecular marker-assisted selection (SSR MAS) in soybean. This PCR system and its various conditions have been optimized by many researchers. However, current research on the optimization of the PCR system focuses on double-primer PCR products. We compared single- and double-SSR primer PCR products from 50 soybean samples and found that the use of single-PCR primers in the reaction system can lead to amplified fragments of portions of the SSR primers in the PCR process, resulting in both false-positives and fragment impurity of double-primer PCR amplification, inconvenient for subsequent analysis. We used "single-primer PCR correction" to eliminate interference caused by single-primer nonspecific PCR amplification and improve PCR quality. Using this method, the precision and success rates of SSR MAS in soybean can be increased.     

Targeted isolation,sequence analysis,and physical mapping of nonTIR NBS-LRR genes in soybean

Most cloned plant disease resistance genes (R-genes) code for proteins belonging to the nucleotide binding site (NBS) leucine-rich repeat (LRR) superfamily. NBS-LRRs can be divided into two classes based on the presence of a TIR domain (Toll and interleukin receptor-like sequence) or a coiled coil motif (nonTIR) in their N-terminus. We used conserved motifs specific to nonTIR-NBS-LRR sequences in a targeted PCR approach to generate nearly 50 genomic soybean sequences with strong homology to known resistance gene analogs (RGAs) of the nonTIR class. Phylogenetic analysis classified these sequences into four main subclasses. A representative clone from each subclass was used for genetic mapping, bacterial artificial chromosome (BAC) library screening, and construction of RGA-containing BAC contigs. Of the 14 RGAs that could be mapped genetically, 12 localized to a 25-cM region of soybean linkage group F already known to contain several classical disease resistance loci. A majority of the genomic region encompassing the RGAs was physically isolated in eight BAC contigs, together spanning more than 1 Mb of genomic sequence with at least 12 RGA copies. Phylogenetic and sequence analysis, together with genetic and physical mapping, provided insights into the genome organization and evolution of this large cluster of soybean RGAs. Received: 8 May 2001 / Accepted: 30 June 2001     

Real-time quantification of wild-type contaminants in glyphosate tolerant soybean

Background

Trait purity is a key factor for the successful utilization of biotech varieties and is currently assessed by analysis of individual seeds or plants. Here we propose a novel PCR-based approach to test trait purity that can be applied to bulk samples. To this aim the insertion site of a transgene is characterized and the corresponding sequence of the wild-type (wt) allele is used as diagnostic target for amplification. As a demonstration, we developed a real-time quantitative PCR method to test purity of glyphosate tolerant (Roundup Ready^®, RR) soybean.

Results

The soybean wt sequence at the RR locus was characterized and found to be highly conserved among conventional genotypes, thus allowing the detection of possibly any soybean non-trait contaminant. On the other hand, no amplification product was obtained from RR soybean varieties, indicating that the wt sequence is single copy and represents a suitable marker of conventional soybean presence. In addition, results obtained from the analysis of wt-spiked RR samples demonstrate that it is possible to use the real-time PCR assay to quantify the non-trait contamination with an acceptable degree of accuracy.

Conclusion

In principle this approach could be successfully applied to any transgenic event, provided that the wild-type sequence is conserved and single copy. The main advantages of the assay here described derive from its applicability to bulk samples, which would allow to increase the number of single seeds or plants forming the analytical sample, thus improving accuracy and throughput while containing costs. For these reasons this application of quantitative PCR could represent a useful tool in agricultural biotechnology.     

Molecular characterization and genetic diversity analysis of soybean (Glycine max (L.) Merr.) germplasm accessions in India

Molecular characterization and genetic diversity among 82 soybean accessions was carried out by using 44 simple sequence repeat (SSR) markers. Of the 44 SSR markers used, 40 markers were found polymorphic among 82 soybean accessions. These 40 polymorphic markers produced a total of 119 alleles, of which five were unique alleles and four alleles were rare. The allele number for each SSR locus varied between two to four with an average of 2.97 alleles per marker. Polymorphic information content values of SSRs ranged from 0.101 to 0.742 with an average of 0.477. Jaccard’s similarity coefficient was employed to study the molecular diversity of 82 soybean accessions. The pairwise genetic similarity among 82 soybean accessions varied from 0.28 to 0.90. The dendrogram constructed based on genetic similarities among 82 soybean accessions identified three major clusters. The majority of genotypes including four improved cultivars were grouped in a single subcluster IIIa of cluster III, indicating high genetic resemblance among soybean germplasm collection in India.

Electronic supplementary material

The online version of this article (doi:10.1007/s12298-014-0266-y) contains supplementary material, which is available to authorized users.     

Discovery of SNPs in soybean genotypes frequently used as the parents of mapping populations in the United States and Korea

Single nucleotide polymorphisms (SNPs) including insertion/deletions (indels) serve as useful and informative genetic markers. The availability of high-throughput and inexpensive SNP typing systems has increased interest in the development of SNP markers. After fragments of genes were amplified with primers derived from 110 soybean GenBank ESTs, sequencing data of PCR products from 15 soybean genotypes from Korea and the United States were analyzed by SeqScape software to find SNPs. Among 35 gene fragments with at least one SNP among the 15 genotypes, SNPs occurred at a frequency of 1 per 2,038 bp in 16,302 bp of coding sequence and 1 per 191 bp in 16,960 bp of noncoding regions. This corresponds to a nucleotide diversity (theta) of 0.00017 and 0.00186, respectively. Of the 97 SNPs discovered, 78 or 80.4% were present in the six North American soybean mapping parents. The addition of "Hwaeomputkong," which originated from Japan, increased the number to 92, or 94.8% of the total number of SNPs present among the 15 genotypes. Thus, Hwaeomputkong and the six North American mapping parents provide a diverse set of soybean genotypes that can be successfully used for SNP discovery in coding DNA and closely associated introns and untranslated regions.     

Construction of a BAC Library for a Defoliating Insect-Resistant Soybean and Identification of Candidate Clones Using a Novel Approach

Positional cloning of an insect-resistance quantitative trait locus (QTL) requires the construction of a large-insert genomic DNA library from insect-resistant genotypes. To facilitate cloning of a major defoliating insect-resistance QTL on linkage group M of the soybean genetic map, a bacterial artificial chromosome (BAC) library for PI 229358 was constructed and characterized. The HindIII BAC library contains 55,296 clones with an average insert size 131 kb. This library represents a 6-fold soybean haploid genome equivalents, allowing a 99.8% probability of recovering any specific sequence of interest in soybean. BAC filters were screened with a genomic DNA probe Sat_258sc2 obtained through genome walking from flanking sequences of a simple sequence repeat (SSR) marker, Sat_258, which links to the insect-resistance QTL. Thirteen BAC clones were identified positive for Sat_258sc2, and two of them were confirmed to carry Sat_258. The results suggest that this library is useful in positional cloning of the major insect-resistance QTL, and the approach presented here can be used to screen a BAC library for a SSR marker without requiring the creation of BAC pools.     

A soybean mapping population specific to the early soybean production system.

The objective of this research was to create a soybean [Glycine max (L.) Merr] genetic resource in the form of a publicly available, well-characterized mapping population specific to maturity groups (MG) used in the early soybean production system. A total of 568 simple sequence repeat (SSR) markers were tested for polymorphism between soybean breeding line DS97-84-1 (MG IV) and germplasm line DT97-4290 (MG IV). A 90-genotype subset of an F2 population from a cross between these lines was evaluated for genetic linkage using 162 polymorphic SSRs, plant height, pod color (L2/l2), flower color (W1/w1) and stem termination (Dt1/dt1). A 1514 cM (Kosambi) genetic map covering 65% of the soybean genome based on 157 linked SSR markers was created. Comparison with the composite soybean genetic map was used to verify map order. Loci for pod color, flower color and stem termination fell in the expected position on the map indicating this is a normally segregating mapping population. Loci for height were identified on linkage groups C2, D1a, D1b, H, L, M and O. MG IV and V soybean genotypes are critical for the early soybean production system widely used in the midsouthern US. However, only two mapping populations have been reported in Soybase for MG IV and V genotypes. Additionally, the parents used in this cross are known to differ in their response to soybean cyst nematode and charcoal rot, which constitute two major pathology threats to Midsouth soybean production. The population and map reported herein represent an important genetic resource for the early soybean production system.     

草鱼(AG)微卫星标记克隆及特征分析

报道了一种简便高效克隆微卫星序列的方法。这一方法的实施步骤包括小片段基因组文库构建、三螺旋捕获、磁珠分离和PCR 扫描。草鱼AG 重复文库的冗余率为7.2%, 富集效率为60.25 倍, PCR 扫描的准确率达100%, 采用这一方法克隆到的AG 重复序列中完美型、非完美型和混合型的比例分别为66.87%、17.17%和15.96%, 不间断重复序列长度大于30 bp 的微卫星座位占51%。34 个微卫星座位中有25 个表现出多态性,PIC 值0.50—0.91, 进一步分析表明AG 重复序列的多态信息含量(PIC)与不间断重复序列长度相关, 不间断重复序列长度大于30 bp 的座位表现出丰富的多态性。较高的富集率和有效引物获得率证明此方法在分离草鱼微卫星中的成功应用, 并将为草鱼养殖品系的优化、遗传多样性的检测及遗传图谱的构建等打下基础。       

Identification of novel simple sequence length polymorphisms (SSLPs) in mouse by interspersed repetitive element (IRE)-PCR.

Interspersed repetitive element (IRE)-PCR is a useful method for identification of novel human or mouse sequence tagged sites (STSs) from contigs of genomic clones. We describe the use of IRE-PCR with mouse B1 repetitive element primers to generate novel, PCR amplifiable, simple sequence length polymorphisms (SSLPs) from yeast artificial chromosome (YAC) clones containing regions of mouse chromosomes 13 and 14. Forty-two IRE-PCR products were cloned and sequenced from eight YACs. Of these, 29 clones contained multiple simple sequence repeat units. PCR analysis with primers derived from unique sequences flanking the simple sequence repeat units in seven clones showed all to be polymorphic between various mouse strains. This novel approach to SSLP identification represents an efficient method for saturating a genomic interval with polymorphic genetic markers that may expedite the positional cloning of genes for traits and diseases.     

Molecular marker diversity of SCN-resistant sources in soybean.

Soybean cyst nematode (SCN) (Heterodera glycines Ichinohe; HG) is one of the most destructive pests of soybean (Glycine max (L.) Merr.) in the United States. Over 100 SCN-resistant accessions within the USDA Soybean Germplasm Collection have been identified, but little is known about the genetic diversity of this SCN-resistant germplasm. The objective of this research was to evaluate the genetic variation and determine the genetic relationships among SCN-resistant accessions. One hundred twenty-two genotypes were evaluated by 85 simple sequence repeat (SSR) markers from 20 linkage groups. Non-hierarchical (VARCLUS) and hierarchical (Ward's) clustering were combined with multidimensional scaling (MDS) to determine relationships among tested lines. The 85 SSR markers produced 566 allelic fragments with a mean polymorphic information content (PIC) value of 0.35. The 122 lines were grouped into 7 clusters by 2 different clustering methods and the MDS results consistently corresponded to the assigned clusters. Assigned clusters were dominated by genotypes that possess one or more unique SCN resistance genes and were associated with geographical origins. The results of analysis of molecular variance (AMOVA) showed that the variation differences among clusters and individual lines were significant, but the differences among individuals within clusters were not significant.     

An efficient method for genetic certification of <Emphasis Type="Italic">Bacillus subtilis</Emphasis> strains,prospective producers of biopreparations

Genetic certification of commercial strains of bacteria antagonistic to phytopathogenic microorganisms guarantees their unequivocal identification and confirmation of safety. In Russia, unlike EU countries, genetic certification of Bacillus subtilis strains is not used. Based on the previously proposed double digestion selective label (DDSL) fingerprinting, a method for genetic identification and certification of B. subtilis strains was proposed. The method was tested on several strains differing in their physiological and biochemical properties and in the composition of secondary metabolites responsible for the spectrum of antibiotic activity. High resolving power of this approach was shown. Optimal restriction endonucleases (SgsI and Eco32I) were determined and validated. A detailed protocol for genetic certification of this bacterial species was developed. DDSL is a universal method, which may be adapted for genetic identification and certification of other bacterial species. Keywords: genotyping, restriction