Discrimination of SNP genotypes associated with complex haplotypes by high resolution melting analysis in almond: implications for improved marker efficiencies

Developed recently, high resolution melting (HRM) analysis is an efficient, accurate and inexpensive method for distinguishing DNA polymorphisms. HRM has been used to identify mutations in human genes, and to detect SNPs, INDELs and microsatellites in plants. However, its capacity to discriminate DNA variants in the context of complex haplotypes involving INDEL as well as SNP variants has not been examined until now. In this study, we genotyped an almond (Prunus dulcis (Mill.) D. A. Webb, syn. Prunus amygdalus Batsch) pseudo-testcross mapping population that showed segregation of complex haplotypes associated with CYP79D16 promoter sequence. The 175 bp region in question included a 7 bp INDEL and 3 SNPs, and manifested as three different haplotypes in the parents. Thus, with one homozygous and one heterozygous parent, two relevant genotypes were identified in the mapping population. Although the population displayed monomorphism with respect to the INDEL and one of the SNPs, HRM was sufficiently sensitive to distinguish genotypes on the basis of the two informative SNPs, and the resulting data were used to map CYP79D16 to linkage group 6 of the almond genome. Thus the capacity of HRM to resolve genotypes arising from complex haplotypes has been demonstrated, and this has important implications for the design of efficient HRM markers for various genetic applications including mapping, population studies and biodiversity analyses.     

Development of INDELs markers in oilseed rape (<Emphasis Type="Italic">Brassica napus</Emphasis> L.) using re-sequencing data

Insertions/deletions (INDELs), a type of abundant length polymorphisms in the plant genomes, combine the characteristics of both simple sequence repeats (SSRs) and single-nucleotide polymorphisms (SNP), and thus can be developed as desired molecular markers for genetic studies and crop breeding. There has been no large-scale characterization of INDELs variations in Brassica napus yet. In this study, we identified a total of 538,691 INDELs in size range of 1–10 bp by aligning whole-genome re-sequencing data of 23 B. napus inbred lines (ILs) to the B. napus genome sequence of ‘Darmor-bzh.’ Of these, 104,190 INDELs were uniquely mapped on the pseudochromosomes of the reference genome. A set of 595 unique INDELs of 2–5 bp in length was selected for experimental validation in the 23 ILs. Of these INDELs, 530 (89.01 %) produced a single PCR product and were single locus. A total of 523 (87.9 %) INDELs were found polymorphic among the 23 ILs. A genetic linkage map containing 108 single-locus INDELs and 89 anchor SSR markers was constructed using 188 recombinant ILs. The majority of INDELs markers on the linkage map showed consistency with the pseudochromosomes of the B. napus cultivar ‘Darmor-bzh.’ The INDELs variations and markers reported here will be valuable resources in future for genetic studies and molecular breeding in oilseed rape.     

Development and genetic mapping of microsatellite markers from whole genome shotgun sequences in <Emphasis Type="Italic">Brassica oleracea</Emphasis>

The availability of whole genome shotgun sequences (WGSs) in Brassica oleracea provides an unprecedented opportunity for development of microsatellite or simple sequence repeat (SSR) markers for genome analysis and genetic improvement in Brassica species. In this study, a total of 56,465 non-redundant SSRs were identified from the WGSs in B. oleracea, with dinucleotide repeats being the most abundant, followed by tri-, tetra- and pentanucleotide repeats. From these, 1,398 new SSR markers (designated as BoGMS) with repeat length ≥25 bp were developed and used to survey polymorphisms with a panel of six rapeseed varieties, which is the largest number of SSR markers developed for the C genome in a single study. Of these SSR markers, 752 (69.5%) showed polymorphism among the six varieties. Of these, 266 markers that showed clear scorable polymorphisms between B. napus varieties No. 2127 and ZY821 were integrated into an existing B. napus genetic linkage map. These new markers are preferentially distributed on the linkage groups in the C genome, and significantly increased the number of SSR markers in the C genome. These SSR markers will be very useful for gene mapping and marker-assisted selection of important agronomic traits in Brassica species.     

Genome-Wide Characterization of Insertion and Deletion Variation in Chicken Using Next Generation Sequencing

Insertion and deletion (INDEL) is one of the main events contributing to genetic and phenotypic diversity, which receives less attention than SNP and large structural variation. To gain a better knowledge of INDEL variation in chicken genome, we applied next generation sequencing on 12 diverse chicken breeds at an average effective depth of 8.6. Over 1.3 million non-redundant short INDELs (1–49 bp) were obtained, the vast majority (92.48%) of which were novel. Follow-up validation assays confirmed that most (88.00%) of the randomly selected INDELs represent true variations. The majority (95.76%) of INDELs were less than 10 bp. Both the detected number and affected bases were larger for deletions than insertions. In total, INDELs covered 3.8 Mbp, corresponding to 0.36% of the chicken genome. The average genomic INDEL density was estimated as 0.49 per kb. INDELs were ubiquitous and distributed in a non-uniform fashion across chromosomes, with lower INDEL density in micro-chromosomes than in others, and some functional regions like exons and UTRs were prone to less INDELs than introns and intergenic regions. Nearly 620,253 INDELs fell in genic regions, 1,765 (0.28%) of which located in exons, spanning 1,358 (7.56%) unique Ensembl genes. Many of them are associated with economically important traits and some are the homologues of human disease-related genes. We demonstrate that sequencing multiple individuals at a medium depth offers a promising way for reliable identification of INDELs. The coding INDELs are valuable candidates for further elucidation of the association between genotypes and phenotypes. The chicken INDELs revealed by our study can be useful for future studies, including development of INDEL markers, construction of high density linkage map, INDEL arrays design, and hopefully, molecular breeding programs in chicken.     

Analysis of whole-genome changes and characteristics of Linepithema humile (Hymenoptera: Formicidae) in the Republic of Korea

The Argentine ant, Linepithema humile (Mayr, 1868), native to the Paraguay River in South America, was first discovered in Korea in 2019. With increasing reports of L. humile, its genetic variation according to domestic growth colonies and its effects on the domestic ecosystem should be studied. Here, the genomes of L. humile specimens found at three locations in Busan were analyzed for genetic changes. First, morphological observation of L. humile samples collected from the three sites showed no phenotypic differences among them. Next, single-nucleotide polymorphism (SNP)/insertion and deletion (INDEL) analyses on the genomic DNA from the three groups showed that in the 1-NIE sample, the most frequent mutations were G → A and C → T. The mutations A → C and T → G were confirmed in the 14-NIE and 19-NIE samples. Although the number of SNPs in the N section was small, sequences of 4681 bp (1-NIE), 4217 bp (14-NIE) and 4631 bp (19-NIE) in length were identified. From the INDEL length distribution of the three samples, most changes were associated with insertions and deletions of 1–2 bp. However, no heterogeneity was found in the population samples analyzed based on SNP data. Comparative analysis of the SNPs investigated revealed that 760 819 (11.72%) of the total 6 492 517 SNPs were found in common, demonstrating that the three groups analyzed had different genetic backgrounds. Overall, we have developed a method for analyzing the genetic diversity of L. humile invading the Republic of Korea, precisely classified its genetic characteristics and obtained genomic data on interspecies mutations, according to the local environment.     

Isolation and characterization of SNP variation at 90 anonymous loci in the banded wren (<Emphasis Type="Italic">Thryothorus pleurostictus)</Emphasis>

Single nucleotide polymorphisms (SNPs) are becoming more commonly used as molecular markers in conservation studies. However, relatively few studies have employed SNPs for species with little or no existing sequence data, partly due to the practical challenge of locating appropriate SNP loci in these species. Here we describe an application of SNP discovery via shotgun cloning that requires no pre-existing sequence data and is readily applied to all taxa. Using this method, we isolated, cloned and screened for SNP variation at 90 anonymous sequence loci (51 kb total) from the banded wren (Thryothorus pleurostictus), a Central American species with minimal pre-existing sequence data and a documented paucity of microsatellite allelic variation. We identified 168 SNPs (a mean of one SNP/305 bp, with SNPs unevenly distributed across loci). Further characterization of variation at 41 of these SNP loci among 256 individuals including 37 parent–offspring families suggests that they provide substantial information for defining the genetic mating system of this species, and that SNPs may be generally useful for this purpose when other markers are problematic.     

Characterization of sequence polymorphisms from microsatellite flanking regions in <Emphasis Type="Italic">Vitis</Emphasis> spp

Single nucleotide polymorphisms or SNPs are the most abundant form of genetic variation in the genome of plants and animals. Microsatellites are hypervariable regions of genome, while their flanking regions are assumed to be as conserved as the average of the genome. In the present study, flanking sequences of 10 microsatellite loci were compared in different cultivars of Vitis to determine the existing polymorphism. For every microsatellite, about 8 homozygous cultivars (regarding the microsatellite genotype) were chosen for sequencing. A total of 45 different varieties of Vitis and 91 sequences were analysed. Sequence polymorphisms were detected for all the microsatellite flanking regions studied, including single nucleotide polymorphisms (SNPs), insertions and deletions. The number of identified changes varied considerably among the loci with a frequency of one polymorphism every 41 nucleotides, being VVMD5 the most polymorphic one. A number of SNPs were used to design SNP markers, which were scored by dideoxy single base primer extension and capillary electrophoresis methodology. These SNP markers were employed to genotype 21 cultivars of Vitis vinifera and 4 varieties of other Vitis species. The utility of the markers developed as well as their utility for varietal identification and pedigree studies is discussed, using a similar study carried out with the 10 microsatellites as a reference.     

Association of a CONSTANS-LIKE gene to flowering and height in autotetraploid alfalfa

In alfalfa (Medicago sativa), an autotetraploid forage legume, stem length is a major component of forage yield, quality and competing ability. In this species, flowering date is not a breeding criterion. Association mapping based on a candidate gene approach has given good results in plants, including autotetraploid species for which genetic analyses are complex. The role of a CONSTANS-LIKE gene, identified as a candidate for stem elongation and flowering date in the model legume M. truncatula, was tested for association with the same traits in alfalfa. Four hundred genotypes from ten cultivars were evaluated for stem height and flowering date in two locations during 4 years. They were genotyped with simple sequence repeat markers and a low structuration was noticed. Primers were designed to amplify and sequence two regions of the alfalfa gene homologous to CONSTANS-LIKE. Single nucleotide polymorphisms (SNPs) were detected and their allelic dose in each genotype was scored. Linkage disequilibrium within CONSTANS-LIKE rapidly decreased as expected. Eight SNPs with a frequency above 10% were detected over 1,010 bp (one SNP every 126 bp on average) in the 400 genotypes. This number was lower than observed in a neutral gene (a SNP every 31 bp on average). Highly significant associations of three SNPs to flowering date and stem height were identified. Each SNP explained up to 4.2% of the genetic variance. Thus, as in the model species, the CONSTANS-LIKE gene was shown to be involved in flowering date and stem height in alfalfa.     

SNP markers‐based map construction and genome‐wide linkage analysis in Brassica napus

An Illumina Infinium array comprising 5306 single nucleotide polymorphism (SNP) markers was used to genotype 175 individuals of a doubled haploid population derived from a cross between Skipton and Ag‐Spectrum, two Australian cultivars of rapeseed (Brassica napus L.). A genetic linkage map based on 613 SNP and 228 non‐SNP (DArT, SSR, SRAP and candidate gene markers) covering 2514.8 cM was constructed and further utilized to identify loci associated with flowering time and resistance to blackleg, a disease caused by the fungus Leptosphaeria maculans. Comparison between genetic map positions of SNP markers and the sequenced Brassica rapa (A) and Brassica oleracea (C) genome scaffolds showed several genomic rearrangements in the B. napus genome. A major locus controlling resistance to L. maculans was identified at both seedling and adult plant stages on chromosome A07. QTL analyses revealed that up to 40.2% of genetic variation for flowering time was accounted for by loci having quantitative effects. Comparative mapping showed Arabidopsis and Brassica flowering genes such as Phytochrome A/D, Flowering Locus C and agamous‐Like MADS box gene AGL1 map within marker intervals associated with flowering time in a DH population from Skipton/Ag‐Spectrum. Genomic regions associated with flowering time and resistance to L. maculans had several SNP markers mapped within 10 cM. Our results suggest that SNP markers will be suitable for various applications such as trait introgression, comparative mapping and high‐resolution mapping of loci in B. napus.     

Single nucleotide polymorphisms in Cryptomeria japonica: their discovery and validation for genome mapping and diversity studies

In order to develop a large set of single-nucleotide polymorphisms (SNPs) in Cryptomeria japonica, for a wide range of applications, we adopted a systematic EST (expressed sequence tags) re-sequencing approach. We examined a group of four genotypes comprising parents of a mapping population as well as representatives of two main lines from natural populations. We sequenced 5,170 gene fragments, representing analysis of over 1.3?Mb of DNA sequences in C. japonica. This analysis leads to the discovery of 13,413 SNPs in 3,744 amplicons, with an average of one SNP for every 101.0?bp (one SNP for every 78.3?bp in introns and for every 106.7?bp in exon regions). Nucleotide diversity in C. japonica (???=?0.0045) was found to be similar to values recorded in highly polymorphic forest tree species such as pine. We also validated the use of the SNPs as molecular markers for genetic diversity studies using the high throughput SNP genotyping platform GoldenGate. From 1,536 candidate SNP sites tested, 1,164 (75.8?%) were confirmed to be polymorphic. We anticipate that the genome-wide SNP markers reported here will be useful for evaluating the species?? range-wide genetic structure and in marker-assisted selection used as part of the C. japonica tree improvement program.     

Single‐nucleotide polymorphism discovery and diversity in the model legume Medicago truncatula

Extensive genomic resources are available in the model legume Medicago truncatula. Here, we present the discovery and design of the first array of single‐nucleotide polymorphism (SNP) markers in M. truncatula through large‐scale Sanger resequencing of genomic fragments spanning the genome, in a diverse panel of 16 M. truncatula accessions. Both anonymous fragments and fragments targeting candidate genes for flowering phenology and symbiosis were surveyed for nucleotide variation in almost 230 kb of unique genomic regions. A set of 384 SNP markers was designed for an Illumina's GoldenGate assay, genotyped on a collection of 192 inbred lines (CC192) representing the geographical range of the species and used to survey the diversity of two natural populations. Finally, 86% of the tested SNPs were of high quality and exhibited polymorphism in the CC192 collection. Even at the population level, we detected polymorphism for more than 50% of the selected SNPs. Analysis of the allele frequency spectrum in the CC192 showed a reduced ascertainment bias, mostly limited to very rare alleles (frequency <0.01). The substantial polymorphism detected at the species and population levels, the high marker quality and the potential to survey large samples of individuals make this set of SNP markers a valuable tool to improve our understanding of the effect of demographic and selective factors that shape the natural genetic diversity within the selfing species Medicago truncatula.     

Abundance, marker development and genetic mapping of microsatellites from unigenes in Brassica napus

Rapeseed (Brassica napus) is the second most important oil crop in the world after soybean. The repertoire of simple sequence repeat (SSR) markers for rapeseed is limited and warrants a search for a larger number of polymorphic SSRs for germplasm characterization and breeding applications. In this study, a total of 5,310 SSR-containing unigenes were identified from a set of 46,038 B. napus unigenes with an average density of one SSR every 5.75?kb. A set of 1,000 expressed sequence tag (EST)-SSR markers with repeat length ??18?bp were developed and tested for their ability to detect polymorphism among a panel of six rapeseed varieties. Of these SSR markers, 776 markers detected clear amplification products, and 511 displayed polymorphisms among the six varieties. Of these polymorphic markers, 195 EST-SSR markers, corresponding to 233 loci, were integrated into an existing B. napus linkage map. These EST-SSRs were randomly distributed on the 19 linkage groups of B. napus. Of the mapped loci, 166 showed significant homology to Arabidopsis genes. Based on the homology, 44 conserved syntenic blocks were identified between B. napus and Arabidopsis genomes. Most of the syntenic blocks were consistent with the duplication and rearrangement events identified previously. In addition, we also identified three previously unreported blocks in B. napus. A subset of 40 SSRs was used to assess genetic diversity in a collection of 192 rapeseed accessions. The polymorphism information content of these markers ranged from 0.0357 to 0.6753 with an average value of 0.3373. These results indicated that the EST-SSR markers developed in this study are useful for genetic mapping, molecular marker-assisted selection and comparative genomics.     

Identification, characterisation and application of single nucleotide polymorphisms for diversity assessment in cassava (Manihot esculenta Crantz)

To monitor genetic diversity in the field it is important that it is measured accurately. Here, we elucidate the potential of single nucleotide polymorphisms (SNPs) for measuring genetic diversity in cassava. The nature and frequency of SNPs was characterised and their utility in genetic diversity assessment compared to that of simple sequence repeats (SSRs). This was achieved by direct sequencing of amplicons in diverse cassava varieties. A total of 26 SNPs were identified from quality sequences of nine genes, giving an estimated frequency of one SNP every 121 nucleotides. Nucleotide diversity ranged from 7.8 × 10⁻⁴ to 5.6 × 10⁻³. Average haplotype-based polymorphic information content (PIC = 0.414) was higher than for individual SNPs (PIC = 0.228). The Mantel test indicated interdependence (r = 0.219; P < 0.001) between SNP and SSR genotypic data. Individual SNPs had lower PIC values than SSRs. For this reason larger numbers of SNPs may be necessary to achieve the same level of discrimination among genotypes provided by SSRs.     

A first insight into peach [Prunus persica (L.) Batsch] SNP variability

Three factors may have reduced the diversity at both individual gene and whole genome levels in cultivated peach: its self-compatible mating system, the narrow genetic basis of most commercial cultivars, and the recent strong selection towards agronomically interesting traits. Previous diversity analyses with markers such as simple sequence repeats (SSRs) have revealed low levels of genetic variability. Here, we sequenced 23 genome-wide distributed DNA fragments in 47 occidental peach varieties, also observing reduced variability levels. On average, there was one single nucleotide polymorphism (SNP) every 598 bp and one indel every 4,189 bp. As expected, variability was higher in non-coding than in coding regions (one SNP every 390 non-coding bp versus one in 1,850 bp in coding DNA). In general, SNPs were observed at relatively high frequency, mean minor allele frequency?=?0.225, meaning that a large proportion of the SNPs discovered by sequencing similar germplasm will be useful for other purposes, such as association mapping. The average heterozygosity of the varieties was 0.28, with a low correlation between SSR and SNP heterozygosity. The whole sequence of two candidate genes, a pectate lyase 1 candidate for fruit firmness (CGPAA2668) and a sucrose synthase 1 candidate for sugar content (CGPPB6189), in the 47 varieties revealed that they both may have suffered a process of balancing selection.     

Genome‐wide selection footprints and deleterious variations in young Asian allotetraploid rapeseed

Brassica napus (AACC, 2n = 38) is an important oilseed crop grown worldwide. However, little is known about the population evolution of this species, the genomic difference between its major genetic groups, such as European and Asian rapeseed, and the impacts of historical large‐scale introgression events on this young tetraploid. In this study, we reported the de novo assembly of the genome sequences of an Asian rapeseed (B. napus), Ningyou 7, and its four progenitors and compared these genomes with other available genomic data from diverse European and Asian cultivars. Our results showed that Asian rapeseed originally derived from European rapeseed but subsequently significantly diverged, with rapid genome differentiation after hybridization and intensive local selective breeding. The first historical introgression of B. rapa dramatically broadened the allelic pool but decreased the deleterious variations of Asian rapeseed. The second historical introgression of the double‐low traits of European rapeseed (canola) has reshaped Asian rapeseed into two groups (double‐low and double‐high), accompanied by an increase in genetic load in the double‐low group. This study demonstrates distinctive genomic footprints and deleterious SNP (single nucleotide polymorphism) variants for local adaptation by recent intra‐ and interspecies introgression events and provides novel insights for understanding the rapid genome evolution of a young allopolyploid crop.     

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     

SNP discovery using Paired‐End RAD‐tag sequencing on pooled genomic DNA of Sisymbrium austriacum (Brassicaceae)

Single nucleotide polymorphisms SNPs are rapidly replacing anonymous markers in population genomic studies, but their use in non model organisms is hampered by the scarcity of cost‐effective approaches to uncover genome‐wide variation in a comprehensive subset of individuals. The screening of one or only a few individuals induces ascertainment bias. To discover SNPs for a population genomic study of the Pyrenean rocket (Sisymbrium austriacum subsp. chrysanthum), we undertook a pooled RAD‐PE (Restriction site Associated DNA Paired‐End sequencing) approach. RAD tags were generated from the PstI‐digested pooled genomic DNA of 12 individuals sampled across the species distribution range and paired‐end sequenced using Illumina technology to produce ~24.5 Mb of sequences, covering ~7% of the specie's genome. Sequences were assembled into ~76 000 contigs with a mean length of 323 bp (N₅₀ = 357 bp, sequencing depth = 24x). In all, >15 000 SNPs were called, of which 47% were annotated in putative genic regions based on homology with the Arabidopsis thaliana genome. Gene ontology (GO) slim categorization demonstrated that the identified SNPs covered extant genic variation well. The validation of 300 SNPs on a larger set of individuals using a KASPar assay underpinned the utility of pooled RAD‐PE as an inexpensive genome‐wide SNP discovery technique (success rate: 87%). In addition to SNPs, we discovered >600 putative SSR markers.     

High resolution melting analysis of almond SNPs derived from ESTs

High resolution melting curve (HRM) is a recent advance for the detection of SNPs. The technique measures temperature induced strand separation of short PCR amplicons, and is able to detect variation as small as one base difference between samples. It has been applied to the analysis and scan of mutations in the genes causing human diseases. In plant species, the use of this approach is limited. We applied HRM analysis to almond SNP discovery and genotyping based on the predicted SNP information derived from the almond and peach EST database. Putative SNPs were screened from almond and peach EST contigs by HRM analysis against 25 almond cultivars. All 4 classes of SNPs, INDELs and microsatellites were discriminated, and the HRM profiles of 17 amplicons were established. The PCR amplicons containing single, double and multiple SNPs produced distinctive HRM profiles. Additionally, different genotypes of INDEL and microsatellite variations were also characterised by HRM analysis. By sequencing the PCR products, 100 SNPs were validated/revealed in the HRM amplicons and their flanking regions. The results showed that the average frequency of SNPs was 1:114 bp in the genic regions, and transition to transversion ratio was 1.16:1. Rare allele frequencies of the SNPs varied from 0.02 to 0.5, and the polymorphic information contents of the SNPs were from 0.04 to 0.53 at an average of 0.31. HRM has been demonstrated to be a fast, low cost, and efficient approach for SNP discovery and genotyping, in particular, for species without much genomic information such as almond.     

Snipping polymorphisms from large EST collections in barley (<Emphasis Type="Italic">Hordeum vulgare </Emphasis>L.)

The public EST (expressed sequence tag) databases represent an enormous but heterogeneous repository of sequences, including many from a broad selection of plant species and a wide range of distinct varieties. The significant redundancy within large EST collections makes them an attractive resource for rapid pre-selection of candidate sequence polymorphisms. Here we present a strategy that allows rapid identification of candidate SNPs in barley (Hordeum vulgare L.) using publicly available EST databases. Analysis of 271,630 EST sequences from different cDNA libraries, representing 23 different barley varieties, resulted in the generation of 56,302 tentative consensus sequences. In all, 8171 of these unigene sequences are members of clusters with six or more ESTs. By applying a novel SNP detection algorithm (SNiPpER) to these sequences, we identified 3069 candidate inter-varietal SNPs. In order to verify these candidate SNPs, we selected a small subset of 63 present in 36 ESTs. Of the 63 SNPs selected, we were able to validate 54 (86%) using a direct sequencing approach. For further verification, 28 ESTs were mapped to distinct loci within the barley genome. The polymorphism information content (PIC) and nucleotide diversity () values of the SNPs identified by the SNiPpER algorithm are significantly higher than those that were obtained by random sequencing. This demonstrates the efficiency of our strategy for SNP identification and the cost-efficient development of EST-based SNP-markers.The first two authors contributed equally to this work     

SNP and INDEL detection in a QTL region on chicken chromosome 2 associated with muscle deposition

Genetic improvement is important for the poultry industry, contributing to increased efficiency of meat production and quality. Because breast muscle is the most valuable part of the chicken carcass, knowledge of polymorphisms influencing this trait can help breeding programs. Therefore, the complete genome of 18 chickens from two different experimental lines (broiler and layer) from EMBRAPA was sequenced, and SNPs and INDELs were detected in a QTL region for breast muscle deposition on chicken chromosome 2 between microsatellite markers MCW0185 and MCW0264 (105 849–112 649 kb). Initially, 94 674 unique SNPs and 10 448 unique INDELs were identified in the target region. After quality filtration, 77% of the SNPs (85 765) and 60% of the INDELs (7828) were retained. The studied region contains 66 genes, and functional annotation of the filtered variants identified 517 SNPs and three INDELs in exonic regions. Of these, 357 SNPs were classified as synonymous, 153 as non‐synonymous, three as stopgain, four INDELs as frameshift and three INDELs as non‐frameshift. These exonic mutations were identified in 37 of the 66 genes from the target region, three of which are related to muscle development (DTNA, RB1CC1 and MOS). Fifteen non‐tolerated SNPs were detected in several genes (MEP1B, PRKDC, NSMAF, TRAPPC8, SDR16C5, CHD7, ST18 and RB1CC1). These loss‐of‐function and exonic variants present in genes related to muscle development can be considered candidate variants for further studies in chickens. Further association studies should be performed with these candidate mutations as should validation in commercial populations to allow a better explanation of QTL effects.