Switchgrass (Panicum virgatum) has been identified as a promising cellulosic biofuel crop in the United States. Construction of a genetic linkage map is fundamental for switchgrass molecular breeding and the elucidation of its genetic mechanisms for economically important traits. In this study, a novel population consisting of 139 selfed progeny of a northern lowland genotype, NL 94 LYE 16X13, was used to construct a linkage map. A total of 2493 simple sequence repeat markers were screened for polymorphism. Of 506 polymorphic loci, 80.8% showed a goodness-of-fit of 1:2:1 segregation ratio. Among 469 linked loci on the framework map, 241 coupling vs. 228 repulsion phase linkages were detected that conformed to a 1:1 ratio, confirming disomic inheritance. A total of 499 loci were mapped to 18 linkage groups (LG), of which the cumulative length was 2085.2 cM, with an average marker interval of 4.2 cM. Nine homeologous LG pairs were identified based on multi-allele markers and comparative genomic analysis. Two clusters of segregation-distorted loci were identified on LG 5b and 9b, respectively. Comparative analysis indicated a one-to-one relationship between nine switchgrass homeologous groups and nine foxtail millet (Setaria italica) chromosomes, suggesting strong homology between the two species. The linkage map derived from selfing a heterozygous parent, instead of two separate maps usually constructed for a cross-fertilized species, provides a new genetic framework to facilitate genomics research, quantitative trait locus (QTL) mapping, and marker-assisted breeding.

Switchgrass, Panicum virgatum L., a native to the tall grass prairies in North America, has been grown for soil conservation and herbage production in the USA and recently widely recognized as a promising dedicated cellulosic bioenergy crop. A large amount of codominant molecular markers including simple sequence repeats (SSRs) are required for the construction of linkage maps and implementation of molecular breeding strategies to develop superior switchgrass cultivars. The objectives of this study were (1) to identify SSR-containing clones and to design PCR primer pairs (PPs) in SSR-enriched genomic libraries, and (2) to validate and characterize the designed SSR PPs. Five genomic SSR enriched libraries were constructed using genomic DNA of 'SL93 7 × 15', a switchgrass genotype selected in an Oklahoma State University (OSU) southern lowland breeding population. A total of 3,046 clones from four libraries enriched in (CA/TG)n, (GA/TC)n, (CAG/CTG)n and (AAG/CTT)n SSR repeats were sequenced at the OSU Core Facility. From the sequences, we isolated 1,300 unique SSR-containing clones, from which we designed 1,398 PPs using SSR Locator V.1 software. Among the designed PPs, 1,030 (73.7%) amplified reproducible and strong bands with expected fragment size, and 802 detected polymorphic alleles, in SL93 7 × 15 and 'NL94 16 × 13', two parents of one mapping population. All of the four libraries contained a high rate of perfect SSR repeat types, ranging from 62.7 to 76.2%. Polymorphism of the effective SSR markers was also tested in two lowland and two upland switchgrass cultivars, encompassing 'Alamo' and 'Kanlow', and 'Blackwell' and 'Dacotah', respectively. The developed SSR markers should be useful in genetic and breeding research in switchgrass.

Accurate identification of bermudagrass (Cynodon spp.) cultivars is necessary to ensure the purity of the cultivars produced by sod farmers, to protect the intellectual property of cultivar developers, and to assure cultivar purity for the benefit of turfgrass consumers. Vegetatively propagated turf bermudagrass cultivars have been extensively used in the turf industry not only in the USA but also in many other countries. Accordingly, the objectives of the study were to examine simple sequence repeat (SSR) markers for their ability to distinguish commonly grown clonal turf bermudagrass cultivars, which were derived through crosses and mutations, from each other and their respective parent cultivars and to develop a set of SSR markers for accurate identification of commercially used clonal cultivars. Thirty‐two clonal turf bermudagrass genotypes comprising 29 commercially released cultivars and 3 Oklahoma State University experimental lines were assessed by 11 microsatellite markers. A total of 141 DNA fragments were generated for the 11 primer pairs in the 32 bermudagrass genotypes, with an average of 12.8 bands per primer pair. Forty‐four fragments were cultivar specific. The SSR markers successfully identified 22 cultivars when mutant cultivars had the same banding patterns as the 2 parent cultivars, ‘Tifgreen’ and ‘Tifway’. It was concluded from the study that the SSR markers are highly polymorphic and can be utilized as a reliable tool for accurate cultivar identification in nonmutated bermudagrass.

Various amines are found in the cecum of ponies, several of which can be detected in the plasma. Concentrations increase significantly in the spring and may reach concentrations close to the threshold for causing vasoconstriction. Release of amines from the cecum into the systemic circulation may contribute to hemodynamic disturbances in horses and ponies with acute laminitis.

ABSTRACT. Switchgrass (Panicum virgatum) is a perennial warmseason grass native to North America that has been identified as a dedicated cellulosic biofuel crop. We quantified genetic diversity in tetraploid switchgrass germplasm collected at Oklahoma State University and characterized genetic relatedness among the collections from distinct regions. Fifty-six tetraploid accessions, including seven upland and 49 lowland genotypes from throughout the US, were examined. The amplified fragment length polymorphism (AFLP) procedure was utilized to generate DNA profiling patterns that were scored visually. Sixteen selective AFLP primer combinations were used to amplify 452 polymorphic bands. The accessions' genetic similarity coefficients, UPGMA (unweighted pairgroup method with arithmetic averaging) cluster analysis and principle coordinate analysis, were performed. The upland and lowland accessions clustered according to ecotypes, with one exception (TN104). Genetic similarity coefficients among the accessions ranged from 0.73 to 0.95. Analysis of molecular variance (AMOVA) was performed, showing significant differences between the upland and lowland genotypes. The trnL marker confirmed that TN104 was a lowland genotype, but the trnL marker identification of upland and lowland genotypes was not consistent with the AFLP analysis in two germplasms (Miami and AR4).