A universal method for automated gene mapping

Small insertions or deletions (InDels) constitute a ubiquituous class of sequence polymorphisms found in eukaryotic genomes. Here, we present an automated high-throughput genotyping method that relies on the detection of fragment-length polymorphisms (FLPs) caused by InDels. The protocol utilizes standard sequencers and genotyping software. We have established genome-wide FLP maps for both Caenorhabditis elegans and Drosophila melanogaster that facilitate genetic mapping with a minimum of manual input and at comparatively low cost.     

Discovery of genome-wide DNA polymorphisms in a landrace cultivar of Japonica rice by whole-genome sequencing

Molecular breeding approaches are of growing importance to crop improvement. However, closely related cultivars generally used for crossing material lack sufficient known DNA polymorphisms due to their genetic relatedness. Next-generation sequencing allows the identification of a massive number of DNA polymorphisms such as single nucleotide polymorphisms (SNPs) and insertions-deletions (InDels) between highly homologous genomes. Using this technology, we performed whole-genome sequencing of a landrace of japonica rice, Omachi, which is used for sake brewing and is an important source for modern cultivars. A total of 229 million reads, each comprising 75 nucleotides of the Omachi genome, was generated with 45-fold coverage and uniquely mapped to 89.7% of the Nipponbare genome, a closely related cultivar. We identified 132,462 SNPs, 16,448 insertions and 19,318 deletions between the Omachi and Nipponbare genomes. An SNP array was designed to validate 731 selected SNPs, resulting in validation rates of 95 and 88% for the Omachi and Nipponbare genomes, respectively. Among the 577 SNPs validated in both genomes, 532 are entirely new SNP markers not previously reported between related rice cultivars. We also validated InDels on a part of chromosome 2 as DNA markers and successfully genotyped five japonica rice cultivars. Our results present the methodology and extensive data on SNPs and InDels available for whole-genome genotyping and marker-assisted breeding. The polymorphism information between Omachi and Nipponbare is available at NGRC_Rice_Omachi (http://www.nodai-genome.org/oryza_sativa_en.html).     

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     

Genomewide discovery of DNA polymorphisms in rice cultivars with contrasting drought and salinity stress response and their functional relevance

Next‐generation sequencing technologies provide opportunities to understand the genetic basis of phenotypic differences, such as abiotic stress response, even in the closely related cultivars via identification of large number of DNA polymorphisms. We performed whole‐genome resequencing of three rice cultivars with contrasting responses to drought and salinity stress (sensitive IR64, drought‐tolerant Nagina 22 and salinity‐tolerant Pokkali). More than 356 million 90‐bp paired‐end reads were generated, which provided about 85% coverage of the rice genome. Applying stringent parameters, we identified a total of 1 784 583 nonredundant single‐nucleotide polymorphisms (SNPs) and 154 275 InDels between reference (Nipponbare) and the three resequenced cultivars. We detected 401 683 and 662 509 SNPs between IR64 and Pokkali, and IR64 and N22 cultivars, respectively. The distribution of DNA polymorphisms was found to be uneven across and within the rice chromosomes. One‐fourth of the SNPs and InDels were detected in genic regions, and about 3.5% of the total SNPs resulted in nonsynonymous changes. Large‐effect SNPs and InDels, which affect the integrity of the encoded protein, were also identified. Further, we identified DNA polymorphisms present in the differentially expressed genes within the known quantitative trait loci. Among these, a total of 548 SNPs in 232 genes, located in the conserved functional domains, were identified. The data presented in this study provide functional markers and promising target genes for salinity and drought tolerance and present a valuable resource for high‐throughput genotyping and molecular breeding for abiotic stress traits in rice.     

Selection of 29 highly informative InDel markers for human identification and paternity analysis in Chinese Han population by the SNPlex genotyping system

The interest of forensic researchers in single nucleotide polymorphism (SNP) has been attracted because of its potential advantages, such as low mutation rates, amenable to high-throughput automated platform and the improved application in the analysis of degraded samples. In this paper, 29 highly informative insertion/deletion (InDel, a special kind of SNP) markers were selected from the dbSNP () according to the given criteria. 109 unrelated Chinese Han subjects were genotyped for the 29 InDels with SNPlex genotyping system. The allele frequency data revealed that the combined power of discrimination for the 29 InDel markers was 0.999999999990867 and the combined probability of paternity exclusion (PE) was 0.9930. Sensitivity studies were performed to evaluate the flexibility of the SNPlex genotyping system on the set of 29 InDels. Highly reproducible results could be obtained with 40–100 ng genomic DNA and the proportion of total allele drop-in was significantly increased when the amount of DNA added to PCR was lower than 35 ng. These results suggested that the set of 29 InDels was useful in paternity analysis or human identification in the future.     

Fluorescence resonance energy transfer (FRET) using ssDNA binding fluorescent dye

There is a need for simple and inexpensive methods for genotyping single nucleotide polymorphisms (SNPs) and short insertion/deletion variations (InDels). In this work, I demonstrate that a single-stranded DNA (ssDNA) binding dye can be used as a donor fluorophore for fluorescence resonance energy transfer (FRET). The method presented is a homogenous assay in which detection is based on the FRET from the fluorescence of the ssDNA dye bound to the unmodified detection primer to the fluorescent nucleotide analog incorporated into this detection primer during cyclic template directed primer extension reaction. Collection of the FRET emission spectrum with a scanning fluorescence spectrophotometer allows powerful data analysis. The fluorescence emission signal is modified by the optical properties of the assay vessel. This seems to be a completely neglected parameter. By proper selection of the optical properties of the assay plate one can improve the detection of the fluorescence emission signal.     

Development of genome-wide DNA polymorphism database for map-based cloning of rice genes

DNA polymorphism is the basis to develop molecular markers that are widely used in genetic mapping today. A genome-wide rice (Oryza sativa) DNA polymorphism database has been constructed in this work using the genomes of Nipponbare, a cultivar of japonica, and 93-11, a cultivar of indica. This database contains 1,703,176 single nucleotide polymorphisms (SNPs) and 479,406 Insertion/Deletions (InDels), approximately one SNP every 268 bp and one InDel every 953 bp in rice genome. Both SNPs and InDels in the database were experimentally validated. Of 109 randomly selected SNPs, 107 SNPs (98.2%) are accurate. PCR analysis indicated that 90% (97 of 108) of InDels in the database could be used as molecular markers, and 68% to 89% of the 97 InDel markers have polymorphisms between other indica cultivars (Guang-lu-ai 4 and Long-te-pu B) and japonica cultivars (Zhong-hua 11 and 9522). This suggests that this database can be used not only for Nipponbare and 93-11, but also for other japonica and indica cultivars. While validating InDel polymorphisms in the database, a set of InDel markers with each chromosome 3 to 5 marker was developed. These markers are inexpensive and easy to use, and can be used for any combination of japonica and indica cultivars used in this work. This rice DNA polymorphism database will be a valuable resource and important tool for map-based cloning of rice gene, as well as in other various research on rice (http://shenghuan.shnu.edu.cn/ricemarker).     

Development of InDel markers for Brassica rapa based on whole-genome re-sequencing

Genome-wide detection of short insertion/deletion length polymorphisms (InDels, <5 bp) in Brassica rapa (named the A genome) was performed by comparing whole-genome re-sequencing data from two B. rapa accessions, L144 and Z16, to the reference genome sequence of Chiifu-401-42. In total, we identified 108,558 InDel polymorphisms between Chiifu-401-42 and L144, 26,795 InDels between Z16 and Chiifu-401-42, and 26,693 InDels between L144 and Z16. From these, 639 InDel polymorphisms of 3–5 bp in length between L144 and Z16 were selected for experimental validation; 491 (77 %) yielded single PCR fragments and showed polymorphisms, 7 (1 %) did not amplify a product, and 141 (22 %) showed no polymorphism. For further validation of these intra-specific InDel polymorphisms, 503 candidates, randomly selected from the 639 InDels, were screened across seven accessions representing different B. rapa cultivar groups. Of these assayed markers, 387 (77 %) were polymorphic, 111 (22 %) were not polymorphic and 5 (1 %) did not amplify a PCR product. Furthermore, we randomly selected 518 InDel markers to validate their polymorphism in B. napus (the AC genome) and B. juncea (the AB genome), of which more than 90 % amplified a PCR product; 132 (25 %) showed polymorphism between the two B. napus accessions and 41 (8 %) between the two B. juncea accessions. This set of novel PCR-based InDel markers will be a valuable resource for genetic studies and breeding programs in B. rapa.     

Identification of genome-wide variations among three elite restorer lines for hybrid-rice

Rice restorer lines play an important role in three-line hybrid rice production. Previous research based on molecular tagging has suggested that the restorer lines used widely today have narrow genetic backgrounds. However, patterns of genetic variation at a genome-wide scale in these restorer lines remain largely unknown. The present study performed re-sequencing and genome-wide variation analysis of three important representative restorer lines, namely, IR24, MH63, and SH527, using the Solexa sequencing technology. With the genomic sequence of the Indica cultivar 9311 as the reference, the following genetic features were identified: 267,383 single-nucleotide polymorphisms (SNPs), 52,847 insertion/deletion polymorphisms (InDels), and 3,286 structural variations (SVs) in the genome of IR24; 288,764 SNPs, 59,658 InDels, and 3,226 SVs in MH63; and 259,862 SNPs, 55,500 InDels, and 3,127 SVs in SH527. Variations between samples were also determined by comparative analysis of authentic collections of SNPs, InDels, and SVs, and were functionally annotated. Furthermore, variations in several important genes were also surveyed by alignment analysis in these lines. Our results suggest that genetic variations among these lines, although far lower than those reported in the landrace population, are greater than expected, indicating a complicated genetic basis for the phenotypic diversity of the restorer lines. Identification of genome-wide variation and pattern analysis among the restorer lines will facilitate future genetic studies and the molecular improvement of hybrid rice.     

A catalog of neutral and deleterious polymorphism in yeast

The abundance and identity of functional variation segregating in natural populations is paramount to dissecting the molecular basis of quantitative traits as well as human genetic diseases. Genome sequencing of multiple organisms of the same species provides an efficient means of cataloging rearrangements, insertion, or deletion polymorphisms (InDels) and single-nucleotide polymorphisms (SNPs). While inbreeding depression and heterosis imply that a substantial amount of polymorphism is deleterious, distinguishing deleterious from neutral polymorphism remains a significant challenge. To identify deleterious and neutral DNA sequence variation within Saccharomyces cerevisiae, we sequenced the genome of a vineyard and oak tree strain and compared them to a reference genome. Among these three strains, 6% of the genome is variable, mostly attributable to variation in genome content that results from large InDels. Out of the 88,000 polymorphisms identified, 93% are SNPs and a small but significant fraction can be attributed to recent interspecific introgression and ectopic gene conversion. In comparison to the reference genome, there is substantial evidence for functional variation in gene content and structure that results from large InDels, frame-shifts, and polymorphic start and stop codons. Comparison of polymorphism to divergence reveals scant evidence for positive selection but an abundance of evidence for deleterious SNPs. We estimate that 12% of coding and 7% of noncoding SNPs are deleterious. Based on divergence among 11 yeast species, we identified 1,666 nonsynonymous SNPs that disrupt conserved amino acids and 1,863 noncoding SNPs that disrupt conserved noncoding motifs. The deleterious coding SNPs include those known to affect quantitative traits, and a subset of the deleterious noncoding SNPs occurs in the promoters of genes that show allele-specific expression, implying that some cis-regulatory SNPs are deleterious. Our results show that the genome sequences of both closely and distantly related species provide a means of identifying deleterious polymorphisms that disrupt functionally conserved coding and noncoding sequences.     

Sequence polymorphisms in porcine homologs of murine coat colour‐related genes

Herein, we report the variability among 57 porcine homologs of murine coat colour‐related genes. We identified single nucleotide polymorphisms (SNPs) and insertions/deletions (InDels) within 44 expressed gene sequences by aligning eight pig complementary DNA (cDNA) samples. The sequence alignment revealed a total of 485 SNPs and 15 InDels. The polymorphisms were then validated by performing matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry (MALDI‐TOF MS) with reference DNA samples obtained from 384 porcine individuals. Of the 384 individuals, three parents of the experimental F₂ family were included to detect polymorphisms between them for linkage mapping. We also genotyped previously reported polymorphisms of 12 genes, and one SNP each in three genes that were detected by performing a BLAST search of the Trace database. A total of 211 SNPs and three InDels were successfully genotyped from our porcine DNA panel. We detected SNPs in 33 of the 44 genes among the parents of an experimental F₂ family and then constructed a linkage map of the 33 genes for this family. The linkage assignment of each gene to the porcine chromosomes was consistent with the location of the BAC clone in the porcine genome and the corresponding gene sequence. We confirmed complete substitutions of EDNRB and MLPH in the Jinhua and Clawn miniature breeds, respectively. Furthermore, we identified polymorphic alleles exclusive to each pig group: 13 for Jinhua, two for Duroc, three for Meishan, four for the Japanese wild boar, one for the Clawn miniature pig and four for the Potbelly pig.     

Genome-wide DNA polymorphisms in elite indica rice inbreds discovered by whole-genome sequencing

Advances in next-generation sequencing technologies have aided discovery of millions of genome-wide DNA polymorphisms, single nucleotide polymorphisms (SNPs) and insertions-deletions (InDels), which are an invaluable resource for marker-assisted breeding. Whole-genome resequencing of six elite indica rice inbreds (three cytoplasmic male sterile and three restorer lines) resulted in the generation of 338?million 75-bp paired-end reads, which provided 85.4% coverage of the Nipponbare genome. A total of 2?819?086 nonredundant DNA polymorphisms including 2?495?052 SNPs, 160?478 insertions and 163?556 deletions were discovered between the inbreds and Nipponbare, providing an average of 6.8 SNPs/kb across the genome. Distribution of SNPs and InDels in the chromosome was nonrandom with SNP-rich and SNP-poor regions being evident across the genome. A contiguous 4.3-Mb region on chromosome 5 with extremely low SNP density was identified. Overall, 83?262 nonsynonymous SNPs spanning 16?379 genes and 3620 nonsynonymous InDels in 2625 genes have been discovered which provide valuable insights into the basis underlying performance of the inbreds and the hybrids between these inbred combinations. SNPs and InDels discovered from this diverse set of indica rice inbreds not only enrich SNP resources for molecular breeding but also enable the study of genome-wide variations on hybrid performance.     

Identification and characterization of nucleotide variations in the genome of Ziziphus jujuba (Rhamnaceae) by next generation sequencing

In this study, single-nucleotide polymorphisms (SNPs) and insertions/deletions (InDels) in the genome of Ziziphus jujuba were identified using sequences generated by the Roche 454 GS-FLX sequencer. A total of, 573,141 reads were produced with an average read length of 360 bp. After quality control, 258,754 of the filtered reads were assembled into 23,864 contigs, and 293,458 remained as singletons. Using the contig assemblies as a reference, 17,160 SNPs and 478 InDels were identified. Among the SNPs, transitions occurred three times more frequently than transversions. In transitions, the number of C/T and G/A transitions was similar. Among the transversions, A/T was the most abundant, and C/G was much rarer than any of the other types of transversions, accounting for only about half the numbers of A/C, A/T and G/T transversions. For the InDels, mononucleotide changes amounted to 64.4 % of the total number of InDels. In general, the frequency of detected InDels decreased as the length of the InDels increased. This study provides valuable marker resources for future genetic studies of Ziziphus spp.     

First-generation SNP/InDel markers tagging loci for pathogen resistance in the potato genome

A panel of 17 tetraploid and 11 diploid potato genotypes was screened by comparative sequence analysis of polymerase chain reaction (PCR) products for single nucleotide polymorphisms (SNPs) and insertion-deletion polymorphisms (InDels), in regions of the potato genome where genes for qualitative and/or quantitative resistance to different pathogens have been localized. Most SNP and InDel markers were derived from bacterial artificial chromosome (BAC) insertions that contain sequences similar to the family of plant genes for pathogen resistance having nucleotide-binding-site and leucine-rich-repeat domains (NBS-LRR-type genes). Forty-four such NBS-LRR-type genes containing BAC-insertions were mapped to 14 loci, which tag most known resistance quantitative trait loci (QTL) in potato. Resistance QTL not linked to known resistance-gene-like (RGL) sequences were tagged with other markers. In total, 78 genomic DNA fragments with an overall length of 31 kb were comparatively sequenced in the panel of 28 genotypes. 1498 SNPs and 127 InDels were identified, which corresponded, on average, to one SNP every 21 base pairs and one InDel every 243 base pairs. The nucleotide diversity of the tetraploid genotypes (pi = 0.72 x 10(-3)) was lower when compared with diploid genotypes (pi = 2.31 x 10(-3)). RGL sequences showed higher nucleotide diversity when compared with other sequences, suggesting evolution by divergent selection. Information on sequences, sequence similarities, SNPs and InDels is provided in a database that can be queried via the Internet.     

The evolution of mycobacterial pathogenicity: clues from comparative genomics.

Comparative genomics, and related technologies, are helping to unravel the molecular basis of the pathogenesis, host range, evolution and phenotypic differences of the slow-growing mycobacteria. In the highly conserved Mycobacterium tuberculosis complex, where single-nucleotide polymorphisms are rare, insertion and deletion events (InDels) are the principal source of genome plasticity. InDels result from recombinational or insertion sequence (IS)-mediated events, expansion of repetitive DNA sequences, or replication errors based on repetitive motifs that remove blocks of genes or contract coding sequences. Comparative genomic analyses also suggest that loss of genes is part of the ongoing evolution of the slow-growing mycobacterial pathogens and might also explain how the vaccine strain BCG became attenuated.     

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.