Revision of the proposed chemical structure of a compound accumulated in the growth medium of a white collar-2 mutant of Neurospora crassa

The white collar mutants have been shown to be blocked in several blue light regulated processes in Neurospora crassa (Harding, R.W. and R.V. Turner 1981 Plant Physiol. 68:745-749; Harding, R.W. and S. Melles 1983 Plant Physiol. 72:996-1000; Degli- Innocenti, F. and V.E.A. Russo 1984 J. Bacteriol. 159:757-761; Russo, V.E.A. 1988 J. Photochem. Photobiol. 2:59-65). As reported by J. Aguilar and R. Harding at the 16th Fungal Genetics Conference (Poster Session 1, Abstract 3), a compound has been isolated and identified which accumulates in the growth medium of a white collar-2 mutant (D. Perkins stock 9896-5, identical in wc genotype to FGSC 3818, which is a sibling). A proposed chemical structure of this compound was presented

Cofactor Genomics: A Sequencing Service Company Emerges from the Technology Development Laboratory

Jump Starting Technologies, Patent Issues, and Translational Medicine Poster SessionCofactor Genomics is based in St. Louis, MO and provides sequencing and analysis services to academic and industry clients. We are a small company committed to changing the service sequencing paradigm by offering our customers front-to-back solutions; experimental design, next-generation sequencing, and advanced analytics for their work. Cofactor Genomics was founded by individuals with one-of-a-kind experience in Next-Generation sequencing technology development. The Cofactor Genomics executive team spent a collective 35 years working in the Technology Development Group at The Genome Center at Washington University in St. Louis, Missouri. From early 2004 to late 2008, their primary responsibilities within the group were to investigate, evaluate and develop both wet-lab and computational applications for emerging Next-Generation sequencing technology platforms. Their experience began with beta testing the 454 Life Sciences (now Roche) GS 20, continued with beta testing the first serial numbered instrument from Solexa (now Illumina), and culminated with beta testing the Applied Biosystems (now Life Technologies) SOLiD instrument. Our individual experiences were unique within the realm of next-generation sequencing technology, thus extremely complimentary for a consolidation and commercialization of skill sets; Matt Hickenbotham became a renowned expert in library construction and Next-Gen instrumentation, Jon Armstrong emerged as an expert in targeted and reduced representation genomic sequencing, and Ryan Richt and Dr. Jarret Glasscock were two of the first individuals in the world to characterize the data generated by these instruments. It is this early-access wet-lab and computational experience with these disruptive sequencing technologies that provided the foundation for operations at Cofactor Genomics. Cofactor Genomics has been in operation for 2 years and has already established a proven track record of capability, versatility, remarkably consistent high quality data generation, and delivering custom data analysis solutions. We constructed 268 different sequencing libraries in our first year spanning nearly every sequencing application and multiple Next-Gen instrument platforms. This feat would be impossible for any firm other than Cofactor to complete in such a short time frame, much to the credit of our highly skilled and talented team. We pooled our talents to form a company offering customers end-to-end sequencing solutions that ultimately allow them to concentrate on what they do best, breakthrough research

An Extinction Study of the Taurus Dark Cloud Complex

We present a study of the detailed distribution of extinction in a region of the Taurus dark cloud complex. Our study uses new BVR images of the region, spectral classification data for 95 stars, and IRAS Sky Survey Atlas (ISSA) 60 and 100 micron images. We study the extinction of the region in four different ways, and we present the first inter-comparison of all these methods, which are: 1) using the color excess of background stars for which spectral types are known; 2) using the ISSA 60 and 100 micron images; 3) using star counts; and 4) using an optical (V and R) version of the average color excess method used by Lada et al. (1994). We find that all four methods give generally similar results, with important exceptions. To study the structure in the dust distribution, we compare the ISSA extinction and the extinction measured for individual stars. From the comparison, we conclude that in the relatively low extinction regions studied, with 0.9 < A_V < 3.0 mag (away from filamentary dark clouds and IRAS cores), there are no fluctuations in the dust column density greater than 45% (at the 99.7% confidence level), on scales smaller than 0.2 pc. We also report the discovery of a previously unknown stellar cluster behind the Taurus dark cloud near R.A 4h19m00s, Dec. 27:30:00 (B1950)Comment: 49 pages (which include 6 pages of tables and 6 pages of figures

Crop Genebanks: Regeneration and Cutorial Load

This nation\u27s crop genetic resources are currently conserved in a se­ries of genebanks and clonal repositories that are part of the National Plant Germplasm System (NPGS). The largest and most complex assemblage of crop germplasm is held at the NPGS genebank in Griffin, Georgia. Curators, who are also technical experts, manage the collections of individual taxa and are responsible for the regeneration, characterization, acquisition, and distribution of those plant materials. The nature of the duties associated with the management of these germplasm collections, specifically their routine regeneration, results in professional challenges for those technical experts engaged in that and similarly nontechnical activities. Various approaches to address this issue including the allocation of resources specifically earmarked for career-enhancing activities of technical professionals, and the clear separation of funding allocated for basic germplasm maintenance activities vs. other activities, are discussed. Also discussed are various means to increase the efficiency of the regeneration process

Gallus GBrowse: a unified genomic database for the chicken

Gallus GBrowse (http://birdbase.net/cgi-bin/gbrowse/gallus/) provides online access to genomic and other information about the chicken, Gallus gallus. The information provided by this resource includes predicted genes and Gene Ontology (GO) terms, links to Gallus In Situ Hybridization Analysis (GEISHA), Unigene and Reactome, the genomic positions of chicken genetic markers, SNPs and microarray probes, and mappings from turkey, condor and zebra finch DNA and EST sequences to the chicken genome. We also provide a BLAT server (http://birdbase.net/cgi-bin/webBlat) for matching user-provided sequences to the chicken genome. These tools make the Gallus GBrowse server a valuable resource for researchers seeking genomic information regarding the chicken and other avian species

Effects on Vegetative Restoration of Two Treatments: Erosion Matting and Supplemental Rock Cover, in the Alpine Ecosystem

Unsanctioned travel routes through alpine ecosystems can influence water drainage patterns, cause sedimentation of streams, and erode soils. These disturbed areas can take decades to revegetate. In 2012, a volunteer‐driven project restored a 854‐m section of unsanctioned road along the Continental Divide in Colorado, United States. The restored area was seeded with three native grass species and then treated by installing erosion matting or adding supplemental rock cover. Four years later, results suggest that the seeding along with the use of erosion matting or supplemental rock can enhance revegetation. Matting appeared to accumulate litter, and this effect might have contributed to enhanced moisture retention. Treated areas contained 40% of the vegetation cover found on adjacent controls, which averaged 69% vascular plant absolute cover. Recovery on both treatments was markedly higher than published estimates of passive revegetation of disturbed areas measured elsewhere suggesting seeding with added cover or protection led to substantial vegetative cover after 4&thinsp;years. Two of the 3 seeded grass species, Trisetum spicatum and Poa alpina, dominated the restored plots, composing 81.7% of relative vegetation cover on matting sites and 73.4% of relative cover on rock‐supplemented areas. Presumably due to its preference for moister sites, Deschampsia cespitosa had low establishment rates. Volunteer species, that is species that appeared on their own, contributed 6.3% to the absolute vegetation cover of matting and rock sites, and species such as Minuartia biflora, Minuartia obtusiloba, Poa glauca, and Festuca brachyphylla should be considered for use in future restorations.</p

Pockets of Proterozoic hydrocarbons and implications for the Archaean

Precambrian biomarkers convey invaluable information about the early evolution of life, ancient ecosystems, redox conditions, climate and depositional environment and prospective petroleum systems. They are however thermally unstable, easily obliterated by contamination and thus extremely difficult to find. This is particularly true if conditions favourable for biomarker preservation had to prevail for more than 2.5 billion years – the prerequisite for finding Archaean biomarkers. Many organic geochemists abandoned this hope after original discoveries of Archaean biomarkers proved to be of younger origin [1,2] but our study of ca. 550-825 Ma old sediments from the Centralian Superbasin now shows that biomarkers can be preserved in distinctive pockets in seemingly barren areas, even if sections are metamorphosed in parts. Most Centralian sections seem empty. Yet, eventually we identified intervals with preserved biomarkers in three drill cores. A detailed investigation of 825 Ma sediments in drill core Mt Charlotte-1 revealed maturity variations that are most likely due to hydrothermal influence and in turn control the hydrocarbon preservation. Sediments might appear metamorphosed after localized, subtle alteration by hydrothermal fluids but protected intervals can still contain biomarkers. The same might be true for Archaean sediments and we might still find those protected intervals with indigenous biomarkers that allow us to glimpse the early life on earth