Brandon Schlautman

The American cranberry mitochondrial genome reveals the presence of selenocysteine (tRNA-Sec and SECIS) insertion machinery in land plants.

This is the first de novo assembly and annotation of a complete mitochondrial genome in the Ericales order from the American cranberry (Vaccinium macrocarpon Ait.). Moreover, only four complete Asterid mitochondrial genomes have been made publicly available. The cranberry mitochondrial genome was assembled and reconstructed from whole genome 454 Roche GS-FLX and Illumina shotgun sequences. Compared with other Asterids, the reconstruction of the genome revealed an average size mitochondrion (459,678 nt) with relatively little repetitive sequences and DNA of plastid origin. The complete mitochondrial genome of cranberry was annotated obtaining a total of 34 genes classified based on their putative function, plus three ribosomal RNAs, and 17 transfer RNAs. Maternal organellar cranberry inheritance was inferred by analyzing gene variation in the cranberry mitochondria and plastid genomes. The annotation of cranberry mitochondrial genome revealed the presence of two copies of tRNA-Sec and a selenocysteine insertion sequence (SECIS) element which were lost in plants during evolution. This is the first report of a land plant possessing selenocysteine insertion machinery at the sequence level.

Development and Validation of 697 Novel Polymorphic Genomic and EST-SSR Markers in the American Cranberry (Vaccinium macrocarpon Ait.)

The American cranberry, Vaccinium macrocarpon Ait., is an economically important North American fruit crop that is consumed because of its unique flavor and potential health benefits. However, a lack of abundant, genome-wide molecular markers has limited the adoption of modern molecular assisted selection approaches in cranberry breeding programs. To increase the number of available markers in the species, this study identified, tested, and validated microsatellite markers from existing nuclear and transcriptome sequencing data. In total, new primers were designed, synthesized, and tested for 979 SSR loci; 697 of the markers amplified allele patterns consistent with single locus segregation in a diploid organism and were considered polymorphic. Of the 697 polymorphic loci, 507 were selected for additional genetic diversity and segregation analyses in 29 cranberry genotypes. More than 95% of the 507 loci did not display segregation distortion at the p < 0.05 level, and contained moderate to high levels of polymorphism with a polymorphic information content >0.25. This comprehensive collection of developed and validated microsatellite loci represents a substantial addition to the molecular tools available for geneticists, genomicists, and breeders in cranberry and Vaccinium.

Generation and Characterization of a Sugarbeet Transcriptome and Transcript-Based SSR Markers

Sugarbeet is a major source of refined sucrose and increasingly grown for biofuel production. Demand for higher productivity for this crop requires greater knowledge of sugarbeet physiology, pathology, and genetics, which can be advanced by the development of new genomic resources. Towards this end, a sugarbeet transcriptome of expressed genes from leaf and root tissues at varying stages of development and production, and after elicitation with jasmonic acid (JA) or salicylic acid (SA), was constructed and used to generate simple sequence repeat (SSR) markers. The transcriptome was generated via paired‐end RNA sequencing and contains 82,404 unigenes. A total of 37,207 unigenes were annotated, of which 9480 were functionally classified using clusters of orthologous groups (COG) annotations, 17,191 were classified into biological process, molecular function, or cellular component using gene ontology (GO) terms, and 17,409 were assigned to 126 metabolic pathways using Kyoto Encyclopedia of Genes and Genomes (KEGG) identifiers. A SSR search of the transcriptome identified 7680 SSRs, including 6577 perfect SSRs, of which 3834 were located in unigenes with ungapped sequence. Primer‐pairs were designed for 288 SSR loci, and 72 of these primer‐pairs were tested for their ability to detect polymorphisms. Forty‐three primer‐pairs detected single polymorphic loci and effectively distinguished diversity among eight B. vulgaris genotypes. The transcriptome and SSR markers provide additional, public domain genomic resources for an important crop plant and can be used to increase understanding of the functional elements of the sugarbeet genome, aid in discovery of novel genes, facilitate RNA‐sequencing based expression research, and provide new tools for sugarbeet genetic research and selective breeding.

Fragman: an R package for fragment analysis.

BackgroundDetermination of microsatellite lengths or other DNA fragment types is an important initial component of many genetic studies such as mutation detection, linkage and quantitative trait loci (QTL) mapping, genetic diversity, pedigree analysis, and detection of heterozygosity. A handful of commercial and freely available software programs exist for fragment analysis; however, most of them are platform dependent and lack high-throughput applicability.ResultsWe present the R package Fragman to serve as a freely available and platform independent resource for automatic scoring of DNA fragment lengths diversity panels and biparental populations. The program analyzes DNA fragment lengths generated in Applied Biosystems® (ABI) either manually or automatically by providing panels or bins. The package contains additional tools for converting the allele calls to GenAlEx, JoinMap® and OneMap software formats mainly used for genetic diversity and generating linkage maps in plant and animal populations. Easy plotting functions and multiplexing friendly capabilities are some of the strengths of this R package. Fragment analysis using a unique set of cranberry (Vaccinium macrocarpon) genotypes based on microsatellite markers is used to highlight the capabilities of Fragman.ConclusionFragman is a valuable new tool for genetic analysis. The package produces equivalent results to other popular software for fragment analysis while possessing unique advantages and the possibility of automation for high-throughput experiments by exploiting the power of R.

Construction of a High-Density American Cranberry ( Vaccinium macrocarpon Ait.) Composite Map Using Genotyping-by-Sequencing for Multi-pedigree Linkage Mapping

The American cranberry (Vaccinium macrocarpon Ait.) is a recently domesticated, economically important, fruit crop with limited molecular resources. New genetic resources could accelerate genetic gain in cranberry through characterization of its genomic structure and by enabling molecular-assisted breeding strategies. To increase the availability of cranberry genomic resources, genotyping-by-sequencing (GBS) was used to discover and genotype thousands of single nucleotide polymorphisms (SNPs) within three interrelated cranberry full-sib populations. Additional simple sequence repeat (SSR) loci were added to the SNP datasets and used to construct bin maps for the parents of the populations, which were then merged to create the first high-density cranberry composite map containing 6073 markers (5437 SNPs and 636 SSRs) on 12 linkage groups (LGs) spanning 1124 cM. Interestingly, higher rates of recombination were observed in maternal than paternal gametes. The large number of markers in common (mean of 57.3) and the high degree of observed collinearity (mean Pair-wise Spearman rank correlations >0.99) between the LGs of the parental maps demonstrates the utility of GBS in cranberry for identifying polymorphic SNP loci that are transferable between pedigrees and populations in future trait-association studies. Furthermore, the high-density of markers anchored within the component maps allowed identification of segregation distortion regions, placement of centromeres on each of the 12 LGs, and anchoring of genomic scaffolds. Collectively, the results represent an important contribution to the current understanding of cranberry genomic structure and to the availability of molecular tools for future genetic research and breeding efforts in cranberry.

Discriminating power of microsatellites in cranberry organelles for taxonomic studies in Vaccinium and Ericaceae

Simple sequence repeats (SSRs) in chloroplast and mitochondrial DNA, which have not been previously developed in the Ericaceae or, more specifically, in the genus Vaccinium, can be powerful tools for determining evolutionary relationships among taxa. In this study, 30 chloroplast, 23 mitochondrial, and 1 mitochondrion-like SSRs were identified in cranberry (V. macrocarpon), and primer-pairs were developed and tested for each locus. Although no polymorphisms were detected for any of the 54 SSR loci in nine diverse cranberry genotypes, all primers were cross-transferable to some extent to a panel of 12 additional Vaccinium taxa and four non-Vaccinium Ericaceae species. A Neighbor-Joining tree of the estimated average squared distances resolved the species by genus and by section within Vaccinium. Similar topologies with increased branch support were observed in Bayesian inference trees constructed from the DNA sequences of six plastid and two mitochondrial SSR loci. Two multiplexing/poolplexing panels of M13 fluorescently labeled primers, which amplify 24 of the 54 markers, were developed and can serve as an efficient, cost-effective means for characterizing the basic molecular phylogeny of Vaccinium. Increased understanding of evolutionary relationships among Vaccinium species should facilitate interspecific hybridization and introgression efforts to improve economically important traits of commercial berry crops.

SOFIA: An R Package for Enhancing Genetic Visualization With Circos

Visualization of data from any stage of genetic and genomic research is one of the most useful approaches for detecting potential errors, ensuring accuracy and reproducibility, and presentation of the resulting data. Currently software such as Circos, ClicO FS, and RCircos, among others, provide tools for plotting a variety of genetic data types in a concise manner for data exploration and presentation. However, each of the programs has 1 or more disadvantages that limit their usability in data exploration or construction of publication quality figures, such as inflexibility in formatting and configuration, reduced image quality, lack of potential for automation, or requirements of highlevel computational expertise. Therefore, we developed the R package SOFIA, which leverages the capabilities of Circos by manipulating data, preparing configuration files, and running the Perl-native Circos directly from the R environment with minimal user intervention. The advantages of integrating both R and Circos into SOFIA are numerous. R is a very powerful and user-friendly programming language widely used among the genetic and genomic research community, while Circos has proven to be a novel software for arranging genomic data to create aesthetical publication quality circular figures. Producing Circos figures in R with SOFIA is simple, requires minimal coding experience, even for complex figures that incorporate high-dimensional genetic information, and allows simultaneous analysis and visual exploration of genomic and genetic data in a single programming environment. Subject areas: Bioinformatics and computational genetics

GiNA, an Efficient and High-Throughput Software for Horticultural Phenotyping.

Traditional methods for trait phenotyping have been a bottleneck for research in many crop species due to their intensive labor, high cost, complex implementation, lack of reproducibility and propensity to subjective bias. Recently, multiple high-throughput phenotyping platforms have been developed, but most of them are expensive, species-dependent, complex to use, and available only for major crops. To overcome such limitations, we present the open-source software GiNA, which is a simple and free tool for measuring horticultural traits such as shape- and color-related parameters of fruits, vegetables, and seeds. GiNA is multiplatform software available in both R and MATLAB® programming languages and uses conventional images from digital cameras with minimal requirements. It can process up to 11 different horticultural morphological traits such as length, width, two-dimensional area, volume, projected skin, surface area, RGB color, among other parameters. Different validation tests produced highly consistent results under different lighting conditions and camera setups making GiNA a very reliable platform for high-throughput phenotyping. In addition, five-fold cross validation between manually generated and GiNA measurements for length and width in cranberry fruits were 0.97 and 0.92. In addition, the same strategy yielded prediction accuracies above 0.83 for color estimates produced from images of cranberries analyzed with GiNA compared to total anthocyanin content (TAcy) of the same fruits measured with the standard methodology of the industry. Our platform provides a scalable, easy-to-use and affordable tool for massive acquisition of phenotypic data of fruits, seeds, and vegetables.

Massive phenotyping of multiple cranberry populations reveals novel QTLs for fruit anthocyanin content and other important chemical traits

Because of its known phytochemical activity and benefits for human health, American cranberry (Vaccinium macrocarpon L.) production and commercialization around the world has gained importance in recent years. Flavonoid compounds as well as the balance of sugars and acids are key quality characteristics of fresh and processed cranberry products. In this study, we identified novel QTL that influence total anthocyanin content (TAcy), titratable acidity (TA), proanthocyanidin content (PAC), Brix, and mean fruit weight (MFW) in cranberry fruits. Using repeated measurements over the fruit ripening period, different QTLs were identified at specific time points that coincide with known chemical changes during fruit development and maturation. Some genetic regions appear to be regulating more than one trait. In addition, we demonstrate the utility of digital imaging as a reliable, inexpensive and high-throughput strategy for the quantification of anthocyanin content in cranberry fruits. Using this imaging approach, we identified a set of QTLs across three different breeding populations which collocated with anthocyanin QTL identified using wet-lab approaches. We demonstrate the use of a high-throughput, reliable and highly accessible imaging strategy for predicting anthocyanin content based on cranberry fruit color, which could have a large impact for both industry and cranberry research.

Intra- and interspecific hybridization in invasive Siberian elm

Hybridization creates unique allele combinations which can facilitate the evolution of invasiveness. Frequent interspecific hybridization between the Siberian elm, Ulmus pumila, and native elm species has been detected in the Midwestern United States, Italy and Spain. However, Ulmus pumila also occurs in the western United States and Argentina, regions where no native elm species capable of hybridizing with it occurs. We examined whether inter- or intraspecific hybridization could be detected in these regions. Nuclear markers and the program STRUCTURE helped detect interspecific hybridization and determine the population genetic structure in both the native and the two non-native ranges. Chloroplast markers identified sources of introduction into these two non-native ranges. No significant interspecific hybridization was detected between U. pumila and U. rubra in the western United States or between U. pumila and U. minor in Argentina and vice versa. However, the genetic findings supported the presence of intraspecific hybridization and high levels of genetic diversity in both non-native ranges. The evidence presented for intraspecific hybridization in the current study, combined with reports of interspecific hybridization from previous studies, identifies elm as a genus where both inter- and intraspecific hybridization may occur and help maintain high levels of genetic diversity potentially associated with invasiveness.