Genetic linkage mapping and quantitative trait locus (QTL) analysis of sweet basil (Ocimum basilicum L.) to identify genomic regions associated with cold tolerance and major volatiles.

Chilling sensitivity is one of the greatest challenges affecting the marketability and profitability of sweet basil (Ocimum basilicum L.) in the US and worldwide. Currently, there are no sweet basils commercially available with significant chilling tolerance and traditional aroma profiles. This study was conducted to identify quantitative trait loci (QTLs) responsible for chilling tolerance and aroma compounds in a biparental mapping population, including the Rutgers advanced breeding line that served as a chilling tolerant parent, 'CB15', the chilling sensitive parent, 'Rutgers Obsession DMR' and 200 F2 individuals. Chilling tolerance was assessed by percent necrosis using machine learning and aroma profiling was evaluated using gas chromatography (GC) mass spectrometry (MS). Single nucleotide polymorphism (SNP) markers were generated from genomic sequences derived from double digestion restriction-site associated DNA sequencing (ddRADseq) and converted to genotype data using a reference genome alignment. A genetic linkage map was constructed and five statistically significant QTLs were identified in response to chilling temperatures with possible interactions between QTLs. The QTL on LG24 (qCH24) demonstrated the largest effect for chilling response and was significant in all three replicates. No QTLs were identified for linalool, as the population did not segregate sufficiently to detect this trait. Two significant QTLs were identified for estragole (also known as methyl chavicol) with only qEST1 on LG1 being significant in the multiple-QTL model (MQM). QEUC26 was identified as a significant QTL for eucalyptol (also known as 1,8-cineole) on LG26. These QTLs may represent key mechanisms for chilling tolerance and aroma in basil, providing critical knowledge for future investigation of these phenotypic traits and molecular breeding.

Genetic Diversity Analysis of Anisogramma anomala in the Pacific Northwest and New Jersey.

Anisogramma anomala, a biotrophic ascomycete, causes eastern filbert blight (EFB) of hazelnuts (Corylus spp.). EFB is endemic in eastern North America, preventing the commercial production of European hazelnut (C. avellana L.). In contrast, the historic absence of A. anomala in the Pacific Northwest (PNW) supported the development of a robust hazelnut industry. Circa 1960, A. anomala was inadvertently introduced into southwestern Washington causing orchard devastation. Distribution of the pathogen in the PNW has been hypothesized to be the result of a single-point introduction. This study aimed to investigate the single-point introduction hypothesis of A. anomala by comparing the genetic diversity of A. anomala samples from the PNW and New Jersey (NJ). Specimens from the main PNW production region [n=60] and an area within the pathogen's native range, NJ [n=151], were genotyped using 15 simple sequence repeat (SSR) markers. The following were used to assess genetic diversity and population structure: allelic summary statistics, discriminant analysis of principal components, network median-joining tree, analysis of multilocus genotypes, and allelic population diversity analysis. Analyses separated the samples into one cluster containing all the PNW isolates, and five clusters of NJ isolates. The PNW samples were nearly genetically uniform, and the NJ isolates were diverse. These findings support the hypothesis that A. anomala in the PNW was derived from a single-point introduction and corroborate previous studies that have shown A. anomala is very diverse in NJ. This indicates that maintaining restrictions on the movement of Corylus into the PNW is important to prevent the introduction of new populations of A. anomala, thus protecting the PNW hazelnut industry.

Population Differentiation Within Anisogramma anomala in North America.

Anisogramma anomala, a biotrophic ascomycete in the order Diaporthales, causes eastern filbert blight (EFB) of hazelnuts (Corylus spp.). Until recently, little has been documented on its genetic diversity and population structure. In this study, 18 simple sequence repeat markers were used to fingerprint 182 accessions of the fungus originating from across North America. Our results, based on summary statistics of the allelic data, a discriminant analysis of principal components (DAPC) scatterplot, an unweighted pair group method with arithmetic mean (UPGMA) dendrogram, and analysis of multilocus genotypes, show that A. anomala exhibits considerable genetic diversity across multiple populations. Eleven clusters were resolved from the DAPC scatterplot, five of which were validated by statistically supported clusters in the UPGMA dendrogram. The 11 DAPC clusters were statistically significant via an analysis of molecular variance. Dendrogram topology and DAPC scatterplot groups showed some correlation with collection origin; samples collected in proximity tended to cluster together and be genetically similar. However, some locations held populations that were diverse and some populations with a high degree of similarity had disparate origins, suggesting movement by humans. Overall, the results demonstrate the presence of multiple, genetically distinct populations of A. anomala in North America and serve as a reference to assist in understanding and managing EFB.

Sequence-guided approach to genotyping plant clones and species using polymorphic NB-ARC-related genes.

KEY MESSAGE: Leveraging the heightened levels of polymorphism in NB-ARC-related protein encoding genes in higher plants, a bioinformatic pipeline was created to identify regions in this gene family from sequenced plant genomes that exhibit fragment length or single nucleotide differences in different accessions of the same species. Testing this approach with the aquatic plant Spirodela polyrhiza demonstrated its superior performance in comparison with currently available genotyping technologies based on PCR amplification. Rapid and economical genotyping tools that can reliably distinguish species and intraspecific variations in plants can be powerful tools for biogeographical and ecological studies. Clones of the cosmopolitan duckweed species, Spirodela polyrhiza, are difficult to distinguish morphologically due to their highly abbreviated architecture and inherently low levels of sequence variation. The use of plastidic markers and generic Amplification Fragment Length Polymorphism approaches have met with limited success in resolving clones of S. polyrhiza from diverse geographical locales. Using whole genome sequencing data from nine S. polyrhiza clones as a training set, we created an informatic pipeline to identify and rank polymorphic regions from nuclear-encoded NB-ARC-related genes to design markers for PCR, Sanger sequencing (barcoding), and fragment length analysis. With seven primer sets, we found 21 unique fingerprints from a set of 23 S. polyrhiza clones. However, three of these clones share the same fingerprint and are indistinguishable by these markers. These primer sets can also be used as interspecific barcoding tools to rapidly resolve S. polyrhiza from the closely related S. intermedia species without the need for DNA sequencing. Our work demonstrates a general approach of using hyper-polymorphic loci within genomes as a resource to produce facile tools that can have high resolving power for genotyping applications.

Characterization of polymorphic microsatellites for the invasive grass Microstegium vimineum (Poaceae).

PREMISE OF THE STUDY: Microsatellite markers were developed for the invasive plant Microstegium vimineum (Poaceae) to assess its population structure and to facilitate tracking of invasion expansion. METHODS AND RESULTS: Using 454 sequencing, 11 polymorphic and six monomorphic microsatellite primer sets were developed for M. vimineum. The primer sets were tested on individuals sampled from six populations in the United States and China. The polymorphic primers amplified di-, tri-, and tetranucleotide repeats with three to 10 alleles per locus. CONCLUSIONS: These markers will be useful for a variety of applications including tracking of invasion dynamics and population genetics studies.

Characterization of 215 simple sequence repeat markers in creeping bentgrass (Agrostis stolonifera L.).

Creeping bentgrass (Agrostis stolonifera L.) is a versatile, cross-pollinated, temperate and perennial turfgrass species. It occurs naturally in a wide variety of habitats and is also cultivated on golf courses, bowling greens and tennis courts worldwide. Isozymes and amplified fragment length polymorphisms (AFLPs) have been used to determine genetic diversity, and restriction fragment length polymorphisms (RFLPs) and random amplified polymorphic DNA (RAPDs) were used to construct a genetic linkage map of this species. In the current report, we developed and characterized 215 unique genomic simple sequence repeat (SSR) markers in creeping bentgrass. The SSRs reported here are the first available markers in creeping bentgrass to date. Eight hundred and eighteen alleles were amplified by 215 SSR loci, an average of 3.72 alleles per locus. Fifty-nine per cent of those alleles segregated in a 1:1 Mendelian fashion (P > 0.05). Twenty-two per cent had a distorted segregation ratio (P ≤ 0.05). These SSR markers will be useful for assessing genetic diversity in creeping bentgrass and will be important for the development of genetic linkage maps and identifying quantitative trait loci. These markers could enhance breeding programmes by improving the efficiency of selection techniques.