Development and validation of a PCR-based functional marker system for the major wide-compatible gene locus S5 in rice

The major wide-compatibility gene locus S5 in rice (Oryza sativa L.) located on chromosome 6 has been recently cloned and a 136-bp deletion in the candidate gene encoding aspartyl protease has been characterized to be specific for wide-compatible varieties, while many single nucleotide polymorphisms have been identified at S5 between indica and japonica rice types. In the present study, we designed a PCR-based multiplex functional marker system targeting the deletion and the SNPs for precise determination of the allelic status at S5. By deploying the marker system, the allelic status at the S5 locus in 584 rice genotypes has been assayed. A total of 116 genotypes, including 11 cultivars, two known wide-compatible varieties, 48 IRRI germplasm lines, 12 Indian aromatic rice genotypes, 37 restorer lines and six breeding lines, have been identified to possess the 136-bp deletion specific for the neutral allele at S5. The marker system was able to clearly distinguish indica and japonica alleles from the neutral allele and has been validated in a mapping population derived from the three-way cross IR36/Dular//Akihikari, which segregated for spikelet sterility/fertility. The functional marker system targeting S5 developed in the present study will be very useful in rapid identification of wide-compatible genotypes, in predicting the success of inter-subspecific crosses and in targeted introgression of the wide-compatible allele of S5 into elite indica and japonica rice varieties.     

Development of PCR-based allele-specific and InDel marker sets for nine rice blast resistance genes

Blast resistance is one of the most important traits in rice breeding, and application of molecular markers for blast resistance breeding is likely to allow the rapid screening for the trait during early growth stages, without the need for inoculation of pathogen and phenotyping. Allele-specific PCR markers and insertion/deletion (InDel) markers, which genotype single-nucleotide polymorphisms and InDel polymorphisms, respectively, are useful tools for marker-assisted selections. We developed sets of allele-specific PCR and InDel markers for nine rice blast resistance genes—Piz, Piz-t, Pit, Pik, Pik-m, Pik-p, Pita, Pita-2, and Pib—which are commonly used in Japanese blast resistance rice breeding programs. For each resistance gene, we used the segregation information from thousands of progeny in several crosses or published gene locations to generate a marker that cosegregated with the gene and markers that closely flanked the gene on either side. The developed cosegregating markers uniquely discriminated among each of the lines with the individual resistance genes (except for Pita and Pita-2). Therefore, these markers will likely facilitate the development of multiline cultivars carrying one or a combination of these nine blast resistance genes. In addition, the systems we developed may be valuable tools in the quality control of seed production from blast-resistant multiline cultivars.     

A PCR-based marker for selection of starch and potential noodle quality in wheat

A strong association between the absence of the granule-bound starch synthase (GBSS) protein for the 4A chromosome of wheat and Japanese Udon noodle quality has been previously described. The aim of this study was to identify a molecular marker linked to the GBSS 4A locus which could be used to identify wheat with the desired texture for Udon noodles. PCR primers were designed to target this gene which gave a 440 bp PCR band, corresponding to the presence or absence of the 4A GBSS gene. Of the 268 genotypes screened with these primers, 267 were correctly identified using the PCR primers. The remaining genotype was shown to be heterogeneous for the marker. The PCR marker test developed has advantages over existing methods used to screen for Udon noodle starch quality as it enables high throughput, accurate tests to be carried out on leaves of young seedlings or mature seed and identify breeding lines that are heterogeneous for the 4A allele which will allow for reselections. Application of this PCR test will speed up selection for Udon noodle quality genotypes and reduce breeding costs for production of noodle wheat varieties. Abbreviations: CTAB, cetyltrimethlammonium bromide; FSV, flour swelling volume; GBSS, granule-bound starch synthase; IEF, isoelectric focusing; PCR, polymerase chain reaction; SDS-PAGE, sodium dodecyl sulfate-polyacrylamide-gel electrophoresis.     

Molecular insights into the regulation of rice kernel elongation

Abstract

A large number of rice agronomic traits are complex, multi factorial and polygenic. As the mechanisms and genes determining grain size and yield are largely unknown, the identification of regulatory genes related to grain development remains a preeminent approach in rice genetic studies and breeding programs. Genes regulating cell proliferation and expansion in spikelet hulls and participating in endosperm development are the main controllers of rice kernel elongation and grain size. We review here and discuss recent findings on genes controlling rice grain size and the mechanisms, epialleles, epigenomic variation, and assessment of controlling genes using genome-editing tools relating to kernel elongation.     

Development of a PCR-based marker to identify rice blast resistance gene,Pi-2(t), in a segregating population

The genomic clone RG64, which is tightly linked to the blast resistance gene Pi-2(t) in rice, provides means to perform marker-aided selection in a rice breeding program. The objective of this study was to investigate the possibility of generating a polymerase chain reaction (PCR)-based polymorphic marker that can distinguish the blast resistant gene, Pi-2(t), and susceptible genotypes within cultivated rice. RG64 was sequenced, and the sequence data was used to design pairs of specific primers for (PCR) amplification of genomic DNA from rice varieties differing in their blast disease responsiveness. The amplified products, known as sequenced-tagged-sites (STSs), were not polymorphic between the three varieties examined. However, cleavage of the amplified products with the restriction enzyme HaeIII generated a polymorphic fragment, known as specific amplicon polymorphism (SAP), between the resistant and the susceptible genotypes. To examine the power of the identified SAP marker in predicting the genotype of the Pi-2 (t) locus, we determined the genotypes of the F₂ individuals at this locus by performing progeny testing for the disease response in the F₃ generation. The results indicated an accuracy of more than 95% in identifying the resistant plants, which was similar to that using RG64 as the hybridization probe. The identification of the resistant homozygous plants increased to 100% when the markers flanking the genes were considered simultaneously. These results demonstrate the utility of SAP markers as simple and yet reliable landmarks for use in marker-assisted selection and breeding within cultivated rice.     

Thetms2 gene as a negative selection marker in rice

A conditional negative selection marker is essential for high throughput insertional mutagenesis with any two-element transposon tagging system. Thetms2 gene encodes indoleacetic acid hydrolase (IAAH) which converts naphthaleneacetamide (NAM) to the potent auxin naphthaleneacetic acid, a phytotoxic derivative. This gene, under the control of the manopine synthase gene 2 promoter fromAgrobacterium tumefaciens and exogenously applied NAM, have been used effectively as a negative selector inAc/Ds insertional mutagenesis ofArabidopsis thaliana (Sundaresan et al., 1995). In this study we show thattms2 can also be used as a negative selector in rice. T₁ transgenic seedlings expressing thistms2 gene under the control of themas2’ promoter showed significant reduction in shoot and root growth in the presence of 5–10 μM NAM under specified growth conditions compared to plants not containing this gene.     

A PCR-based marker for a locus conferring the aroma in Myanmar rice (Oryza sativa L.)

Aromatic rice is an important commodity for international trade, which has encouraged the interest of rice breeders to identify the genetic control of rice aroma. The recessive Os2AP gene, which is located on chromosome 8, has been reported to be associated with rice aroma. The 8-bp deletion in exon 7 is an aromatic allele that is present in most aromatic accessions, including the most popular aromatic rice varieties, Jasmine and Basmati. However, other mutations associated with aroma have been detected, but the other mutations are less frequent. In this study, we report an aromatic allele, a 3-bp insertion in exon 13 of Os2AP, as a major allele found in aromatic rice varieties from Myanmar. The insertion is in frame and causes an additional tyrosine (Y) in the amino acid sequence. However, the mutation does not affect the expression of the Os2AP gene. A functional marker for detecting this allele was developed and tested in an aroma-segregating F(2) population. The aroma phenotypes and genotypes showed perfect co-segregation of this population. The marker was also used for screening a collection of aromatic rice varieties collected from different geographical sites of Myanmar. Twice as many aromatic Myanmar rice varieties containing the 3-bp insertion allele were found as the varieties containing the 8-bp deletion allele, which suggested that the 3-bp insertion allele originated in regions of Myanmar.     

Objective evaluation measures of genetic marker selection in large-scale SNP genotyping

High-throughput single nucleotide polymorphism (SNP) genotyping systems provide two kinds of fluorescent signals detected from different alleles. In current technologies, the process of genotype discrimination requires subjective judgments by expert operators, even when using clustering algorithms. Here, we propose two evaluation measures to manage fluorescent scatter data with nonclear plot aggregation. The first is the marker ranking measure, which provides a ranking system for the SNP markers based on the distance between the scatter plot distribution and a user-defined ideal distribution. The second measure, called individual genotype membership, uses the membership probability of each genotype related to an individual plot in the scatter data. In verification experiments, the marker ranking measure determined the ranking of SNP markers correlated with the subjective order of SNP markers judged by an expert operator. The experiment using the individual genotype membership measure clarified that the total number of unclassified individuals was remarkably reduced compared to that of manually unclassified ones. These two evaluation measures were implemented as the GTAssist software. GTAssist provides objective standards and avoids subjective biases in SNP genotyping workflows.     

A PCR-based molecular marker applicable for marker-assisted selection for anthracnose disease resistance in lupin breeding

Selection for anthracnose disease resistance is one of the major objectives in lupin breeding programs. The aim of this study was to develop a molecular marker linked to a gene conferring anthracnose resistance in narrow-leafed lupin (Lupinus angustifolius L.), which can be widely used for MAS in lupin breeding. A F(8)derived RIL population from a cross between cultivar Tanjil (resistant to anthracnose) and Unicrop (susceptible) was used for marker development. DNA fingerprinting was conducted on 12 representative plants by combining the AFLP method with primers designed based on conserved sequences of plant disease resistance genes. A co-dominant candidate marker was detected from a DNA fingerprint. The candidate marker was cloned, sequenced, and converted into a sequence-specific, simple PCR based marker. Linkage analysis based on a segregating population consisting of 184 RILs suggested that the marker, designated as AntjM2, is located 2.3 cM away from the R gene conferring anthracnose resistance in L. angustifolius. The marker has now being implemented for MAS in the Australian national lupin breeding program.     

New PCR-based sequence-tagged site marker for bacterial blight resistance gene Xa38 of rice

Bacterial blight (BB), caused by Xanthomonas oryzae pv. oryzae, is a major disease of rice managed largely through the deployment of resistance genes. Xa38, a BB resistance gene identified from Oryza nivara acc. IRGC 81825, was mapped on chromosome 4L in a 38.4-kb region. The closely linked markers for this gene, identified earlier, were simple sequence repeat marker RM17499 and sequence-tagged site markers developed from loci Os04g53060 and Os04g53120. Marker Os04g53060 is dominant while the other two markers show smaller size differences difficult to resolve accurately on agarose gel. Based on gene annotation, three nucleotide binding site?Cleucine-rich repeat genes present in the target region were cloned from O. nivara and sequenced. One of the loci, LOC_Os04g53050, had a 48-base-pair deletion in O. nivara acc. IRGC 81825 compared to the cultivated rice. Primers were designed around the deletion and the resulting marker is codominant and easy to score in agarose gel. The newly designed marker co-segregated with Xa38, amplifying products of 269?bp in O. nivara and 317?bp in cultivated rice. This marker could be more useful for marker-assisted selection than ones reported earlier.     

PCR-based genotyping of SNP markers in sheep

Molecular Biology Reports - Single nucleotide polymorphisms (SNPs) are the main type of variation in genome, enabling them to be associated with traits of economic importance in livestock....     

SNP identification and marker assay development for high-throughput selection of soybean cyst nematode resistance

Background

Soybean cyst nematode (SCN) is the most economically devastating pathogen of soybean. Two resistance loci, Rhg1 and Rhg4 primarily contribute resistance to SCN race 3 in soybean. Peking and PI 88788 are the two major sources of SCN resistance with Peking requiring both Rhg1 and Rhg4 alleles and PI 88788 only the Rhg1 allele. Although simple sequence repeat (SSR) markers have been reported for both loci, they are linked markers and limited to be applied in breeding programs due to accuracy, throughput and cost of detection methods. The objectives of this study were to develop robust functional marker assays for high-throughput selection of SCN resistance and to differentiate the sources of resistance.

Results

Based on the genomic DNA sequences of 27 soybean lines with known SCN phenotypes, we have developed Kompetitive Allele Specific PCR (KASP) assays for two Single nucleotide polymorphisms (SNPs) from Glyma08g11490 for the selection of the Rhg4 resistance allele. Moreover, the genomic DNA of Glyma18g02590 at the Rhg1 locus from 11 soybean lines and cDNA of Forrest, Essex, Williams 82 and PI 88788 were fully sequenced. Pairwise sequence alignment revealed seven SNPs/insertion/deletions (InDels), five in the 6th exon and two in the last exon. Using the same 27 soybean lines, we identified one SNP that can be used to select the Rhg1 resistance allele and another SNP that can be employed to differentiate Peking and PI 88788-type resistance. These SNP markers have been validated and a strong correlation was observed between the SNP genotypes and reactions to SCN race 3 using a panel of 153 soybean lines, as well as a bi-parental population, F₅–derived recombinant inbred lines (RILs) from G00-3213 x LG04-6000.

Conclusions

Three functional SNP markers (two for Rhg1 locus and one for Rhg4 locus) were identified that could provide genotype information for the selection of SCN resistance and differentiate Peking from PI 88788 source for most germplasm lines. The robust KASP SNP marker assays were developed. In most contexts, use of one or two of these markers is sufficient for high-throughput marker-assisted selection of plants that will exhibit SCN resistance.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-015-1531-3) contains supplementary material, which is available to authorized users.     

SNP2CAPS: a SNP and INDEL analysis tool for CAPS marker development

With the influx of various SNP genotyping assays in recent years, there has been a need for an assay that is robust, yet cost effective, and could be performed using standard gel-based procedures. In this context, CAPS markers have been shown to meet these criteria. However, converting SNPs to CAPS markers can be a difficult process if done manually. In order to address this problem, we describe a computer program, SNP2CAPS, that facilitates the computational conversion of SNP markers into CAPS markers. 413 multiple aligned sequences derived from barley ESTs were analysed for the presence of polymorphisms in 235 distinct restriction sites. 282 (90%) of 314 alignments that contain sequence variation due to SNPs and InDels revealed at least one polymorphic restriction site. After reducing the number of restriction enzymes from 235 to 10, 31% of the polymorphic sites could still be detected. In order to demonstrate the usefulness of this tool for marker development, we experimentally validated some of the results predicted by SNP2CAPS.     

Development of a simvastatin selection marker for a hyperthermophilic acidophile, Sulfolobus islandicus

We report here a novel selectable marker for the hyperthermophilic crenarchaeon Sulfolobus islandicus. The marker cassette is composed of the sac7d promoter and the hmg gene coding for the 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase (P(sac7d)-hmg), which confers simvastatin resistance to this crenarchaeon. The basic plasmid vector pSSR was constructed by substituting the pyrEF gene of the expression vector pSeSD for P(sac7d)-hmg with which the Sulfolobus expression plasmids pSSRlacS, pSSRAherA, and pSSRNherA were constructed. Characterization of Sulfolobus transformants carrying pSSRlacS indicated that the plasmid was properly maintained under selection. High-level expression of the His(6)-tagged HerA helicase was obtained with the cells harboring pSSRAherA. The establishment of two efficient selectable markers (pyrEF and hmg) was subsequently exploited for genetic analysis. A herA merodiploid strain of S. islandicus was constructed using pyrEF marker and used as the host to obtain pSSRNherA transformant with simvastatin selection. While the gene knockout (ΔherA) cells generated from the herA merodiploid cells failed to form colonies in the presence of 5-fluoroorotic acid (5-FOA), the mutant cells could be rescued by expression of the gene from a plasmid (pSSRNherA), because their transformants formed colonies on a solid medium containing 5-FOA and simvastatin. This demonstrates that HerA is essential for cell viability of S. islandicus. To our knowledge, this is the first application of an antibiotic selectable marker in genetic study for a hyperthermophilic acidophile and in the crenarchaeal lineage.     

Efficient PCR-based gene targeting with a recyclable marker for Aspergillus nidulans

The rapid accumulation of genomic sequences from a large number of eukaryotes, including numerous filamentous fungi, has created a tremendous scientific potential, which can only be realized if precise site-directed genome modifications, like gene deletions, promoter replacements, in-frame GFP fusions and specific point mutations can be made rapidly and reliably. The development of gene-targeting techniques in filamentous fungi and other higher eukaryotes has been hampered because foreign DNA is predominantly integrated randomly into the genome. For Aspergillus nidulans, we have developed a flexible method for gene-targeting employing a bipartite gene-targeting substrate. This substrate is made solely by PCR, which obviates the need for bacterial subcloning steps. The method reduces the number of false positives and can be used to produce virtually any genome alteration. A major advance of the method is that it allows multiple subsequent genome manipulations to be performed as the selectable marker is recycled.     

Phenotypic screening and molecular analysis of blast resistance in fragrant rice for marker assisted selection

Experiments were conducted to identify blast-resistant fragrant genotypes for the development of a durable blast-resistant rice variety during years 2012–2013. The results indicate that out of 140 test materials including 114 fragrant germplasms, 25 differential varieties (DVs) harbouring 23 blast-resistant genes, only 16 fragrant rice germplasms showed comparatively better performance against a virulent isolate of blast disease. The reaction pattern of single-spore isolate of Magnaporthe oryzae to differential varieties showed that Pish, Pi9, Pita-2 and Pita are the effective blast-resistant genes against the tested blast isolates in Bangladesh. The DNA markers profiles of selected 16 rice germplasms indicated that genotype Chinigura contained Pish, Pi9 and Pita genes; on the other hand, both BRRI dhan50 and Bawaibhog contained Pish and Pita genes in their genetic background. Genotypes Jirakatari, BR5, and Gopalbhog possessed Pish gene, while Uknimodhu, Deshikatari, Radhunipagol, Kalijira (3), Chinikanai each contained the Pita gene only. There are some materials that did not contain any target gene(s) in their genetic background, but proved resistant in pathogenicity tests. This information provided valuable genetic information for breeders to develop durable blast-resistant fragrant or aromatic rice varieties in Bangladesh.     

Development of PCR-based SNP markers for rice blast resistance genes at the<Emphasis Type="Italic"> Piz</Emphasis> locus

We assessed the utility of single-nucleotide polymorphisms (SNPs) and small insertion/deletion polymorphisms (InDels) as DNA markers in genetic analysis and breeding of rice. Toward this end, we surveyed SNPs and InDels in the chromosomal region containing the Piz and Piz-t rice blast resistance genes and developed PCR-based markers for typing the SNPs. Analysis of sequences from a blast-susceptible Japanese cultivar and two cultivars each containing one of these genes revealed that SNPs are abundant in the Piz and Piz-t regions (on average, one SNP every 248 bp), but the number of InDels was much lower. The dense distribution of SNPs facilitated the generation of SNP markers in the vicinity of the genes. For typing these SNPs, we used a modified allele-specific PCR method. Of the 49 candidate allele-specific markers, 33 unambiguously and reproducibly discriminated between the two alleles. We used the markers for mapping the Piz and Piz-t genes and evaluating the size of DNA segments introgressed from the Piz donor cultivar in Japanese near-isogenic lines containing Piz. Our findings suggest that, because of its ability to generate numerous markers within a target region and its simplicity in assaying genotypes, SNP genotyping with allele-specific PCR is a valuable tool for gene mapping, map-based cloning, and marker-assisted selection in crops, especially rice.Communicated by D.J. Mackill     

Estimating effective population size using RADseq: Effects of SNP selection and sample size

Effective population size (N_e) is a key parameter of population genetics. However, N_e remains challenging to estimate for natural populations as several factors are likely to bias estimates. These factors include sampling design, sequencing method, and data filtering. One issue inherent to the restriction site‐associated DNA sequencing (RADseq) protocol is missing data and SNP selection criteria (e.g., minimum minor allele frequency, number of SNPs). To evaluate the potential impact of SNP selection criteria on N_e estimates (Linkage Disequilibrium method) we used RADseq data for a nonmodel species, the thornback ray. In this data set, the inbreeding coefficient F_IS was positively correlated with the amount of missing data, implying data were missing nonrandomly. The precision of N_eestimates decreased with the number of SNPs. Mean N_e estimates (averaged across 50 random data sets with2000 SNPs) ranged between 237 and 1784. Increasing the percentage of missing data from 25% to 50% increased N_e estimates between 82% and 120%, while increasing the minor allele frequency (MAF) threshold from 0.01 to 0.1 decreased estimates between 71% and 75%. Considering these effects is important when interpreting RADseq data‐derived estimates of effective population size in empirical studies.