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Mehdikhani P.,Seed Scientific | Bari M.R.,Urmia University
African Journal of Microbiology Research | Year: 2011

The fermentation process of sugar feedstock materials at industrial scale requires the utilization of microorganisms capable of working at high ethanol concentration and high temperatures. The selection of Saccharomyces cerevisiae strains, able to ferment sugars obtained from different material at temperatures above 35°C with high ethanol yield, has become a necessity. Three yeast strains were irradiated with gamma ray and screened for their ability to grow and ferment molasses in a temperature range of 35-45°C. The yeasts were placed in a liquid medium, and irradiated at different doses (0.1, 1, 2, 3, 4, 5 and 10 KGy/h). Although all the isolated strains had growth (in agar plates) at 35 and 40°C, but just two strains showed growth at 42°C, and there was no growth at 45°C. Two pure yeast strains were isolated (PTCC 5269 M 3 and Areni M 7). The efficiency of temperature and high concentrations of ethanol tolerant strains were more than double of ethanol production compared with using the initial strains of yeast. All resistant strains were tested on liquid medium of molasses, and nutrients with 30% (v/v) ethanol had significant difference (P>0.01) for growth intensity at same condition with initial strains. © 2011 Academic Journals. Source

Ziyaev Z.M.,Uzbek Research Institute of Plant Industry | Sharma R.C.,ICARDA Central Asia and the Caucasus Regional Program | Nazari K.,Biodiversity and Integrated Gene Management Program | Morgounov A.I.,CIMMYT | And 4 more authors.
Euphytica | Year: 2011

Wheat is the most important cereal in Central Asia (Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan) and the Caucasus (Armenia, Azerbaijan and Georgia). Stripe rust, caused by Puccinia striiformis f. sp. tritici is considered the most important disease of wheat in Central Asia and the Caucasus (CAC). Although stripe rust has been present in the region for a long time, it has become a serious constraint to wheat production in the past 10 years. This is reflected by the occurrence of five epidemics of stripe rust in the CAC region since 1999, the most recent in 2010. Several wheat varieties occupying substantial areas are either susceptible to stripe rust or possess a low level of resistance. Information on the stripe rust pathogen in terms of prevalent races and epidemiology is not readily available. Furthermore, there is an insufficient understanding of effective stripe rust resistance genes in the region, and little is known about the resistance genes present in the commercial varieties and advanced breeding lines. The deployment of resistant varieties is further complicated by putative changes in virulence in the pathogen population in different parts of the CAC. Twenty four out of 49 improved wheat lines received through international nurseries or other exchange programs showed high levels of resistance to stripe rust to local pathogen populations in 2009. Fifteen of the 24 stripe rust resistant lines also possessed resistance to powdery mildew. It is anticipated that this germplasm will play an important role in developing stripe rust resistant wheat varieties either through direct adoption or using them as parents in breeding programs. © 2010 Springer Science+Business Media B.V. Source

Vshivkov S.,Institute of Bioorganic Chemistry AS RUz | Pshenichnov E.,Institute of Bioorganic Chemistry AS RUz | Golubenko Z.,Institute of Bioorganic Chemistry AS RUz | Akhunov A.,Institute of Bioorganic Chemistry AS RUz | And 2 more authors.
Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences | Year: 2012

Gossypol is a toxic compound that occurs as a mixture of enantiomers in cotton plant tissues including seed and flower petals. The (-)-enantiomer is more toxic to non-ruminant animals. Efforts to breed cottonseed with a low percentage of (-)-gossypol requires determination of the (+)- to (-)-gossypol ratio in seed and flower petals. We report a method to quantitatively determine the total gossypol and percent of its enantiomers in cotton tissues using high performance capillary electrophoresis (HPCE). The method utilizes a borate buffer at pH 9.3 using a capillary with internal diameter of 50. μm, effective length of 24.5. cm, 15. kV and cassette temperature of 15. °C. This method provides high accuracy and reproducible results with a limit of detection of the individual enantiomers of less than 36. ng/mL providing base line separation in less than 6. min. © 2012 Published by Elsevier B.V. Source

News Article | June 24, 2015
Site: venturebeat.com

Music streaming company Spotify today announced that it has acquired Seed Scientific, a consulting confirm that specializes in data science and analytics. The acquisition is helping Spotify start a new advanced analytics team “that combines cutting-edge math, science, design, and engineering to craft insights, models, and tools with data,” according to a statement. The deal follows Spotify’s acquisition of music data startup Echo Nest last year. IPO-bound Spotify clearly wants to improve its operations as it faces competition from Google and Apple, among others. Earlier this month Spotify said it had 75 million users, 20 million of whom pay for the service. Seed Scientific started in 2012 and was based in New York. Adam Bly, the company’s founder and chief executive, was previously founder and editor-in-chief of Seed magazine. Seed Scientific customers include Brazil, GE, and the United Nations, according to the company’s website.

News Article | June 24, 2015
Site: techcrunch.com

Spotify wants to own big data about bands. Today it acquired analytics firm Seed Scientific to forge a new Advanced Analytics unit tasked with understanding and improving how artists, listeners, and brands interact with its streaming music service. Seed Scientific formerly served clients including Audi, Unilever, the United Nations, and importantly, Apple’s Beats Music. But with the acquisition, Spotify confirms to me it will exclusively get the startup’s services, pulling the data rug out from under Apple. Seed Scientific’s whole team of around 20 will join Spotify in its New York office. The firm specialized in devising algorithms to understand information for commercial, public, and social sector clients. It offered data discovery, collection, science, and visualization services, identifying what data is relevant to a company, capturing it, analyzing it for actionable insights, and then making those concepts comprehensible to its clients. A statement on the startup’s website reads: “Seed Scientific’s team and technology will now become the foundation of a new Advanced Analytics unit at Spotify that combines cutting-edge math, science, design, and engineering to craft insights, models, and tools with data.” Spotify tells me the Seed Scientific-centered Advanced Analytics unit will help it improve decisions across the company’s product and business. It could teach Spotify what to suggest people listen to, who they should follow for recommendations, where artists’ fans are so they can plan their tours, or what brands’ ads will resonate most with which users. Seed Scientific’s founder and CEO Adam Bly will lead the unit. He’ll surely work closely with The Echo Nest, the massive music personalization data provider that also counted Beats as a client before it was acquired by Spotify last year. With mounting competition from Apple Music and Google Music, the streaming services are desperate to differentiate themselves. Apple will tout exclusives like Pharrell’s single “Freedom”, which the singer today announced will only be available on Apple Music when it launches June 30th. Google highlights the mood and activity-based playlists from its acquisition Songza, which just opened up to free, ad-supported access yesterday. Spotify seems to be betting on data. If it can offer more accurate recommendations of what to hear, it could solve on-demand streaming’s biggest problem: having an empty search box connected to the entire history of recorded music, but no idea what to play next.

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