The use of molecular markers for germplasm management in a French olive collection

With more than 100 accessions, the CBNMP olive collection includes a major part of the French germplasm. We used molecular markers to characterise all accessions and to study genetic relationships between cultivars. Firstly, 497 olive trees were genotyped using 32 RAPD markers. We identified 114 RAPD profiles and detected several cases of mislabelling, synonymy and homonymy. Secondly, for each RAPD profile, one tree was analysed using mtDNA RFLPs to determine the cytoplasmic lineage of each cultivar and using five nuclear SSR loci. French germplasm displayed ME1, MOM and MCK mitotypes with ME1 prevailing (84%). Based on SSR markers, we revealed a slight differentiation between French cultivars growing in the West and the East side of the Rh?ne Valley. This study allowed us to construct a molecular data-base for the reference collection and to analyse genetic diversity for further prospecting, and for introducing new olive accessions.     

Features of SNP and SSR diversity in a set of ICARDA barley germplasm collection

Detection and utilization of genetic variation available in the germplasm collection for crop improvement have been the prime activities of breeders. Here a set of ICARDA barley germplasm collection comprising of 185 cultivated (Hordeum vulgare L.) and 38 wild (H. spontaneum L.) genotypes originated from 30 countries of four continents was genotyped with 68 single nucleotide polymorphism (SNP) and 45 microsatellite or simple sequence repeat (SSR) markers derived from genes (expressed sequence tags, ESTs). As two SNP markers provided 2 and 3 datapoints, a total of 71 SNPs were surveyed that yielded a total of 143 alleles. The number of SSR alleles per locus ranged from 3 to 22 with an average of 7.9 per marker. Average PIC (polymorphism information content) value for SSR and SNP markers were recorded as 0.63 and 0.38, respectively. Heterogeneity was recorded at both SNP and SSR loci in an average of 5.72 and 12.42% accessions, respectively. Genetic similarity matrices for SSR and SNP allelic data were highly correlated (r = 0.75, P < 0.005) and therefore allelic data for both markers were combined and analyzed for understanding the genetic relationships among the germplasm surveyed. Majority of clusters/subclusters were found to contain genotypes from the same geographic origins. While comparing the genetic diversity, the accessions coming from Middle East Asia and North East Asia showed more diversity as compared to that of other geographic regions. Majority of countries representing Africa, Middle East Asia, North East Asia and Arabian Peninsula included the genotypes that contained rare alleles. As expected, spontaneum accessions, as compared to vulgare accessions, showed a higher number of total alleles, higher number of alleles per locus, higher effective number of alleles and higher allelic richness and a higher number of rare alleles were observed. In summary, the examined ICARDA germplasm set showed ample natural genetic variation that can be harnessed for future breeding of barley as climate change and sustainability have become important throughout all growing areas of the world, drought/heat tolerance being the most important ones.     

The use of chloroplast microsatellite markers for assessing cytoplasmic variation in a watermelon germplasm collection

Fifteen chloroplast microsatellite (cpSSR) markers were tested to analyze cytoplasmic variation in a set of watermelon accessions containing 67 Chinese watermelon germplasms (CWGs) and 19 non-Chinese watermelon germplasms (NCGs), and 11 were polymorphic. These polymorphic cpSSR markers detected 2–4 alleles (mean = 2.8) in all the accessions, with diversity values ranging from 0.047 to 0.427 (mean = 0.252). Based on the polymorphic cpSSR loci, 17 distinct haplotypes were identified, of which six were from CWGs, seven were from NCGs, and four were shared by both of them. Most haplotypes from CWGs were nearly identical at the 11 cpSSR loci, but those from NCGs revealed higher variations. Of the haplotypes from CWGs, a predominant haplotype was found in 76.1% of CWGs, indicating that CWGs suffered a cytoplasmic bottleneck in domestication process and lost most of their cytoplasmic variability. To analyze the relationships among these 17 haplotypes, a dendrogram was constructed based on the cpSSR data using the unweighted pair-group method with arithmetic average (UPGMA). Three distinct groups were generated, revealing a genetic divergence between CWGs and NCGs. From this analysis, we obtained five rare haplotypes which had quite low genetic similarity to the others and would be useful for watermelon breeding in China. The results enriched the knowledge in genetic diversity of CWGs and could be informative for broadening the genetic base of watermelon.     

Potential of SNP markers for the characterization of Brazilian cassava germplasm

Key message

High-throughput markers, such as SNPs, along with different methodologies were used to evaluate the applicability of the Bayesian approach and the multivariate analysis in structuring the genetic diversity in cassavas.

Abstract

The objective of the present work was to evaluate the diversity and genetic structure of the largest cassava germplasm bank in Brazil. Complementary methodological approaches such as discriminant analysis of principal components (DAPC), Bayesian analysis and molecular analysis of variance (AMOVA) were used to understand the structure and diversity of 1,280 accessions genotyped using 402 single nucleotide polymorphism markers. The genetic diversity (0.327) and the average observed heterozygosity (0.322) were high considering the bi-allelic markers. In terms of population, the presence of a complex genetic structure was observed indicating the formation of 30 clusters by DAPC and 34 clusters by Bayesian analysis. Both methodologies presented difficulties and controversies in terms of the allocation of some accessions to specific clusters. However, the clusters suggested by the DAPC analysis seemed to be more consistent for presenting higher probability of allocation of the accessions within the clusters. Prior information related to breeding patterns and geographic origins of the accessions were not sufficient for providing clear differentiation between the clusters according to the AMOVA analysis. In contrast, the F _ST was maximized when considering the clusters suggested by the Bayesian and DAPC analyses. The high frequency of germplasm exchange between producers and the subsequent alteration of the name of the same material may be one of the causes of the low association between genetic diversity and geographic origin. The results of this study may benefit cassava germplasm conservation programs, and contribute to the maximization of genetic gains in breeding programs.     

Development of a set of SNP markers present in expressed genes of the apple

Molecular markers associated with gene coding regions are useful tools for bridging functional and structural genomics. Due to their high abundance in plant genomes, single nucleotide polymorphisms (SNPs) are present within virtually all genomic regions, including most coding sequences. The objective of this study was to develop a set of SNPs for the apple by taking advantage of the wealth of genomics resources available for the apple, including a large collection of expressed sequenced tags (ESTs). Using bioinformatics tools, a search for SNPs within an EST database of approximately 350,000 sequences developed from a variety of apple accessions was conducted. This resulted in the identification of a total of 71,482 putative SNPs. As the apple genome is reported to be an ancient polyploid, attempts were made to verify whether those SNPs detected in silico were attributable either to allelic polymorphisms or to gene duplication or paralogous or homeologous sequence variations. To this end, a set of 464 PCR primer pairs was designed, PCR was amplified using two subsets of plants, and the PCR products were sequenced. The SNPs retrieved from these sequences were then mapped onto apple genetic maps, including a newly constructed map of a Royal Gala x A689-24 cross and a Malling 9 x Robusta 5, map using a bin mapping strategy. The SNP genotyping was performed using the high-resolution melting (HRM) technique. A total of 93 new markers containing 210 coding SNPs were successfully mapped. This new set of SNP markers for the apple offers new opportunities for understanding the genetic control of important horticultural traits using quantitative trait loci (QTL) or linkage disequilibrium analysis. These also serve as useful markers for aligning physical and genetic maps, and as potential transferable markers across the Rosaceae family.     

Genetic relationships among a collection of Musa germplasm by fluorescent-labeled SRAP

Edible banana and plantains of the Musa genus are important staple food crops cultivated in humid tropical and subtropical climatic zones. These crops are important for subsistence farming in rural communities and also to generate significant employment and income. In an effort to increase the genetic variability of available cultivars, indexed accessions have been introduced into a regional collection in southeastern Mexico, through the Banana Bioversity International Program. The aim of this study was to use the fluorescently labeled sequence-related amplified polymorphism (SRAP) molecular marker system to characterize the genetic variability within 71 accessions of the existing collection and resolved uncertainties for the better management of the collection, as a preliminary step to establishing a breeding program. These accessions, which included wild species and cultivars of different subgroups, were consistently identified and separated by SRAP markers. A total of 330 polymorphic bands were detected using 12 primer combinations. The average number of polymorphic bands per primer pair was 27.5. The genetic similarity between accessions ranged between 0.44 and 0.97, as estimated using Jaccard's coefficient. Moreover, SRAP marker system probed to be useful to identify closely related accessions in the genus Musa and facilitated the recognition of duplicates to be eliminated and clarified uncertainties or mislabeled banana accessions introduced to the collection.     

Assessment of the genetic diversity and phylogenetic relationships of a temperate bamboo collection by using transferred EST-SSR markers.

Polymorphic expressed sequence tag - simple sequence repeat (EST-SSR) markers derived from major cereal crops were used to assess the genetic diversity of the USDA temperate bamboo collection consisting of 92 accessions classified in 11 separate genera and 44 species. A total of 211 bands were detected with a mean number of alleles per locus of 8.440. Phylogenetic relationships were determined by calculating genetic distances between all pairwise combinations and assessing differences in character data. The resulting dendrograms (unweighted pair group method with arithmetic means (UPGMA) and parsimony) clustered the accessions into 2 main clades, which corresponded to accessions characterized morphologically as either clumping (sympodial) or running (monopodial) bamboos. The majority of the accessions clustered according to their current taxonomic classification. These markers were also beneficial in identifying contaminated and (or) misidentified plots. Overall, these transferred markers were informative in differentiating the various bamboo accessions and determining the level of genetic variation within and among species and genera.     

Analysis of cytoplasmic variation in a cucumber germplasm collection using chloroplast microsatellite markers

Nine PCR-based markers were developed from the microsatellites in non-coding regions of chloroplast genome of Cucumis sativus and used to detect chloroplast DNA variation. These markers successfully detected intraspecific polymorphism among 37 cucumber accessions containing Chinese native germplasms (CNGs) and non-Chinese germplasms (NCGs). Each marker detected between two and four alleles and the diversity value of the makers ranged from 0.105 to 0.528. Based on the data from allele size variation, a total of 17 distinct haplotypes were identified from the 35 accessions (excluding the two accessions possessing null genes). Three haplotypes were prevalent among CNGs but most NCGs had unique haplotype. No identical haplotype was found between CNGs and NCGs, reflecting lack of exchange of CNGs with others in the 60–80s of last century. A wild species (C. hystrix Chakr.) tested herein shared a haplotype with some CNGs, suggesting that it could be the ancestry of C. sativus or at least had a common ancestral lineage. The genetic relationship among the 37 cucumber accessions was further analyzed through construction of dendrogram based on Jaccard coefficient of similarity obtained from the allele sizes. All the CNGs were clustered into a group (containing the wild accession) that distinctly differed from the other four groups containing NCGs. This result agreed with the findings above obtained from haplotype analysis. Our research documented here will offer useful information for cucumber breeding.     

Assessment of genetic diversity in a Morus germplasm collection using fluorescence-based AFLP markers

To meet various breeding objectives and to conserve the existing genetic resources of mulberry for future use, the present study was undertaken to investigate the amount of genetic diversity and to establish the relationships between mulberry genotypes using fluorescence-based AFLP markers. Genetic diversity was estimated in 45 mulberry accessions from different eco-geographic regions of Japan and other parts of the world. Five primer combinations amplified an average of 110 AFLP markers per primer combination, ranging in size from 35 to 500 bp. A high degree of polymorphism was revealed by these combinations that ranged from 69.7 to 82.3% across all the genotypes studied. Several rare genotype-specific bands were also identified which could be effectively utilized to distinguish different genotypes. The wide range in genetic similarity coefficients (0.58–0.99) indicated that the mulberry germplasm collection represents a genetically diverse popu-lation. The phenetic dendrogram generated by the UPGMA method grouped 45 accessions into four major clusters, which was in agreement with the results from conventional methods. Clustering of some genotypes into strictly separate groups was not readily apparent and no clear interrelationships could be depicted, in spite of their different geographic origin. In addition, AFLP analysis provided sufficient polymorphism for DNA typing and contributed additional insights into the genetic structure of the mulberry germplasm. These results will help in the formulation of appropriate strategies for conservation and variety improvement in mulberry, for which little or no knowledge of genetic diversity is currently available. Received: 30 December 1999 / Accepted: 14 March 2000     

Frequency Finder: a multi-source web application for collection of public allele frequencies of SNP markers

Publicly available single nucleotide polymorphism (SNP) allele frequencies are an important resource for the selection of genetic markers that may be most useful for gene mapping and association studies. Data mining these allele frequencies through disparate public databases and Websites is time consuming and can result in inconsistent findings. We have developed a web-based software tool, Frequency Finder, to acquire SNP allele frequencies from multiple public data sources and return a summarized result to the user. Our software optimizes and automates the search of candidate markers, decreasing the amount of time it would take to extract pertinent data manually. We have included several methods to output the data, including on-screen and as a compressed text file. We show that Frequency Finder accurately retrieves available frequency data from the available sources. Using this tool, we detect significant differences between Asian, African and Caucasian populations in the allele frequency spectra of 246 097 SNPs. While limited to public databases that provide web-based access to allele frequencies, Frequency Finder provides a single, user-friendly interface for retrieving allele frequencies for large batches of SNPs from multiple data sources.     

Development of single nucleotide polymorphism (SNP) markers for use in commercial maize (Zea mays L.) germplasm

The development of single nucleotide polymorphism (SNP) markers in maize offers the opportunity to utilize DNA markers in many new areas of population genetics, gene discovery, plant breeding and germplasm identification. However, the steps from sequencing and SNP discovery to SNP marker design and validation are lengthy and expensive. Access to a set of validated SNP markers is a significant advantage to maize researchers who wish to apply SNPs in scientific inquiry. We mined 1,088 loci sequenced across 60 public inbreds that have been used in maize breeding in North America and Europe. We then selected 640 SNPs using generalized marker design criteria that enable utilization with several SNP chemistries. While SNPs were found on average every 43 bases in 1,088 maize gene sequences, SNPs that were amenable to marker design were found on average every 623 bases; representing only 7% of the total SNPs discovered. We also describe the development of a 768 marker multiplex assay for use on the Illumina^® BeadArray? platform. SNP markers were mapped on the IBM2 intermated B73 × Mo17 high resolution genetic map using either the IBM2 segregating population, or segregation in multiple parent-progeny triplets. A high degree of colinearity was found with the genetic nested association map. For each SNP presented we give information on map location, polymorphism rates in different heterotic groups and performance on the Illumina^® platform.     

Graph-based clustering for finding distant relationships in a large set of protein sequences

MOTIVATION: Clustering of protein sequences is widely used for the functional characterization of proteins. However, it is still not easy to cluster distantly-related proteins, which have only regional similarity among their sequences. It is therefore necessary to develop an algorithm for clustering such distantly-related proteins. RESULTS: We have developed a time and space efficient clustering algorithm. It uses a graph representation where its vertices and edges denote proteins and their sequence similarities above a certain cutoff score, respectively. It repeatedly partitions the graph by removing edges that have small weights, which correspond to low sequence similarities. To find the appropriate partitions, we introduce a score combining the normalized cut and a locally minimal cut capacities. Our method is applied to the entire 40,703 human proteins in SWISS-PROT and TrEMBL. The resulting clusters shows a 76% recall (20,529 proteins) of the 26,917 classified by InterPro. It also finds relationships not found by other clustering methods. AVAILABILITY: The complete result of our algorithm for all the human proteins in SWISS-PROT and TrEMBL, and other supplementary information are available at http://motif.ics.es.osaka-u.ac.jp/Ncut-KL/     

Pedigree analysis for composing a core collection of modern cultivars,with examples from barley (Hordeum vulgare s. lat.)

A method for analyzing the pedigrees of cultivars is developed that allows for the calculation of the effective number of origin lines (n _OL ). The n _OL is defined as the average number of alleles, not identical by descent, per locus in a set of lines. Its relationship with the commonly used coefficient of parentage is clarified. A related quantity, the effective overlap of origin lines (r _OL ) is defined as the average number of alleles, not identical by descent, per locus common in two sets of individuals. A set of 85 modern barley cultivars is used to illustrate the application of n _OL and r _OL . This set originated from 153 mutually unrelated ancestors. The degree to which each ancestor contributed was quantified, and the result was a n _OL of only 43.1. In the set were 51 spring and 34 winter cultivars, with a n _OL of 25.0 and 21.0, respectively. Consequently, the r _OL of these two groups was 2.9, indicating that the two groups can be considered to be nearly distinct genetically since they have only 2.9 origin lines in common. How the effective number of origin lines can be used to create a core collection of cultivars with known pedigrees by maximizing the n _OL in a set of cultivars of given size is also discussed.     

Development and evaluation of a 9K SNP array for peach by internationally coordinated SNP detection and validation in breeding germplasm

Although a large number of single nucleotide polymorphism (SNP) markers covering the entire genome are needed to enable molecular breeding efforts such as genome wide association studies, fine mapping, genomic selection and marker-assisted selection in peach [Prunus persica (L.) Batsch] and related Prunus species, only a limited number of genetic markers, including simple sequence repeats (SSRs), have been available to date. To address this need, an international consortium (The International Peach SNP Consortium; IPSC) has pursued a coordinated effort to perform genome-scale SNP discovery in peach using next generation sequencing platforms to develop and characterize a high-throughput Illumina Infinium® SNP genotyping array platform. We performed whole genome re-sequencing of 56 peach breeding accessions using the Illumina and Roche/454 sequencing technologies. Polymorphism detection algorithms identified a total of 1,022,354 SNPs. Validation with the Illumina GoldenGate® assay was performed on a subset of the predicted SNPs, verifying ∼75% of genic (exonic and intronic) SNPs, whereas only about a third of intergenic SNPs were verified. Conservative filtering was applied to arrive at a set of 8,144 SNPs that were included on the IPSC peach SNP array v1, distributed over all eight peach chromosomes with an average spacing of 26.7 kb between SNPs. Use of this platform to screen a total of 709 accessions of peach in two separate evaluation panels identified a total of 6,869 (84.3%) polymorphic SNPs.The almost 7,000 SNPs verified as polymorphic through extensive empirical evaluation represent an excellent source of markers for future studies in genetic relatedness, genetic mapping, and dissecting the genetic architecture of complex agricultural traits. The IPSC peach SNP array v1 is commercially available and we expect that it will be used worldwide for genetic studies in peach and related stone fruit and nut species.     

Development of SCAR markers in olive (Olea europaea) by direct sequencing of RAPD products: applications in olive germplasm evaluation and mapping

RAPD markers generated by mixtures of two different 10-mer primers were developed for eight different olive cultivars used as parental lines in olive-breeding programs. Two RAPD bands were converted into dominant SCAR markers by direct sequencing of the RAPD products, avoiding the costly and time-consuming cloning step. The SCARs generated have maintained the original RAPD polymorphism among the cultivars and segregated according to Mendelian inheritance. Preliminary results suggest the use of the SCAR SCOeMS-2 for the marker-assisted selection of the high flesh/stone ratio. This strategy provides a rapid method for the characterization of RAPD markers and for the development of PCR-based markers with applications in olive mapping, paternal testing and germplasm characterization. The use of these markers in multiplexed PCRs, and the direct ethidium bromide detection of the PCR products in the test tube, facilitate their efficient and reliable breeding applications. Received: 1 November 2000 / Accepted: 24 November 2000     

Development and application of a set of breeder-friendly SNP markers for genetic analyses and molecular breeding of rice (Oryza sativa L.)

Single nucleotide polymorphisms (SNPs) are the most abundant DNA markers in plant genomes. In this study, based on 54,465 SNPs between the genomes of two Indica varieties, Minghui 63 (MH63) and Zhenshan 97 (ZS97) and additional 20,705 SNPs between the MH63 and Nipponbare genomes, we identified and confirmed 1,633 well-distributed SNPs by PCR and Sanger sequencing. From these, a set of 372 SNPs were further selected to analyze the patterns of genetic diversity in 300 representative rice inbred lines from 22 rice growing countries worldwide. Using this set of SNPs, we were able to uncover the well-known Indica-Japonica subspecific differentiation and geographic differentiations within Indica and Japonica. Furthermore, our SNP results revealed some common and contrasting patterns of the haplotype diversity along different rice chromosomes in the Indica and Japonica accessions, which suggest different evolutionary forces possibly acting in specific regions of the rice genome during domestication and evolution of rice. Our results demonstrated that this set of SNPs can be used as anchor SNPs for large scale genotyping in rice molecular breeding research involving Indica-Japonica and Indica-Indica crosses.     

Inference of higher-order relationships in the cycads from a large chloroplast data set

Theria includes Eutheria and its sister taxon Metatheria. Placentalia includes extant eutherians plus their most recent common ancestor. The oldest eutherian is from 125mya (million years ago). Molecular studies place this origin at about 130-185mya. Older dates cannot be refuted based on fossil evidence as earliest eutherian remains are scarce. Earliest superordinal clades (hence Placentalia) range from 64-104mya (median 84mya) based on molecules, similar to 85-90mya based on fossils. Superordinal clades Archonta, Ferungulata, Glires, and Paenungulata based on fossils are similar to molecularly based clades, except Afrotheria was not predicted by fossils. Both fossils and molecules recognize 16 of 18 extant placental orders. Fossils place the origins of orders around 65mya as do some molecular studies, but others suggest ordinal diversification as old as 100mya. Fossil evidence supports a Laurasian origin for Eutheria (and Metatheria) and Placentalia, although some molecular studies suggest a Gondwanan origin for both taxa.