University of California, Davis

About: University of California, Davis is a education organization based out in Davis, California, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 78770 authors who have published 180033 publications receiving 8064158 citations. The organization is also known as: UC Davis & UCD.

Sub1A is an ethylene-response-factor-like gene that confers submergence tolerance to rice

Abstract: Most Oryza sativa cultivars die within a week of complete submergence--a major constraint to rice production in south and southeast Asia that causes annual losses of over US 1 billion dollars and affects disproportionately the poorest farmers in the world. A few cultivars, such as the O. sativa ssp. indica cultivar FR13A, are highly tolerant and survive up to two weeks of complete submergence owing to a major quantitative trait locus designated Submergence 1 (Sub1) near the centromere of chromosome 9 (refs 3, 4, 5-6). Here we describe the identification of a cluster of three genes at the Sub1 locus, encoding putative ethylene response factors. Two of these genes, Sub1B and Sub1C, are invariably present in the Sub1 region of all rice accessions analysed. In contrast, the presence of Sub1A is variable. A survey identified two alleles within those indica varieties that possess this gene: a tolerance-specific allele named Sub1A-1 and an intolerance-specific allele named Sub1A-2. Overexpression of Sub1A-1 in a submergence-intolerant O. sativa ssp. japonica conferred enhanced tolerance to the plants, downregulation of Sub1C and upregulation of Alcohol dehydrogenase 1 (Adh1), indicating that Sub1A-1 is a primary determinant of submergence tolerance. The FR13A Sub1 locus was introgressed into a widely grown Asian rice cultivar using marker-assisted selection. The new variety maintains the high yield and other agronomic properties of the recurrent parent and is tolerant to submergence. Cultivation of this variety is expected to provide protection against damaging floods and increase crop security for farmers.

The Language of Schooling: A Functional Linguistics Perspective

Abstract: Contents: Preface. Characterizing the Language of Schooling. Language and Context. Linguistic Features of Academic Registers. Writing School Genres. Functional Grammar in School Subjects. Language Development in School.

Development of reliable PCR-based markers linked to downy mildew resistance genes in lettuce

Abstract: Sequence characterized amplified regions (SCARs) were derived from eight random amplified polymorphic DNA (RAPD) markers linked to disease resistance genes in lettuce. SCARs are PCR-based markers that represent single, genetically defined loci that are identified by PCR amplification of genomic DNA with pairs of specific oligonucleotide primers; they may contain high-copy, dispersed genomic sequences within the amplified region. Amplified RAPD products were cloned and sequenced. The sequence was used to design 24-mer oligonucleotide primers for each end. All pairs of SCAR primers resulted in the amplification of single major bands the same size as the RAPD fragment cloned. Polymorphism was either retained as the presence or absence of amplification of the band or appeared as length polymorphisms that converted dominant RAPD loci into codominant SCAR markers. This study provided information on the molecular basis of RAPD markers. The amplified fragment contained no obvious repeated sequences beyond the primer sequence. Five out of eight pairs of SCAR primers amplified an alternate allele from both parents of the mapping population; therefore, the original RAPD polymorphism was likely due to mismatch at the primer sites.

OpenMM 7: Rapid development of high performance algorithms for molecular dynamics.

Abstract: OpenMM is a molecular dynamics simulation toolkit with a unique focus on extensibility. It allows users to easily add new features, including forces with novel functional forms, new integration algorithms, and new simulation protocols. Those features automatically work on all supported hardware types (including both CPUs and GPUs) and perform well on all of them. In many cases they require minimal coding, just a mathematical description of the desired function. They also require no modification to OpenMM itself and can be distributed independently of OpenMM. This makes it an ideal tool for researchers developing new simulation methods, and also allows those new methods to be immediately available to the larger community.