SABIO-RK (http://sabio.h-its.org/) is a web-accessible database storing comprehensive information about biochemical reactions and their kinetic properties. SABIO-RK offers standardized data manually extracted from the literature and data directly submitted from lab experiments. The database content includes kinetic parameters in relation to biochemical reactions and their biological sources with no restriction on any particular set of organisms. Additionally, kinetic rate laws and corresponding equations as well as experimental conditions are represented. All the data are manually curated and annotated by biological experts, supported by automated consistency checks. SABIO-RK can be accessed via web-based user interfaces or automatically via web services that allow direct data access by other tools. Both interfaces support the export of the data together with its annotations in SBML (Systems Biology Markup Language), e.g. for import in modelling tools.

The plant metabolome is characterized by extensive diversity and is often regarded as a bridge between genome and phenome. Here we report metabolic and phenotypic genome-wide studies (mGWAS and pGWAS) in rice grain that, in addition to previous metabolic GWAS in rice leaf and maize kernel, show both distinct and overlapping aspects of genetic control of metabolism within and between species. We identify new candidate genes potentially influencing important metabolic and/or morphological traits. We show that the differential genetic architecture of rice metabolism between different tissues is in part determined by tissue specific expression. Using parallel mGWAS and pGWAS we identify new candidate genes potentially responsible for variation in traits such as grain colour and size, and provide evidence of metabotype-phenotype linkage. Our study demonstrates a powerful strategy for interactive functional genomics and metabolomics in plants, especially the cloning of minor QTLs for complex phenotypic traits.

BaciUlus subtilis has an alkaline phosphatase (APase) gene

Summary• Two ethylmethanesulfonate (EMS) mutant populations of the semi-winter rapeseed cv. Ningyou7 were constructed with high mutant load, to provide a TILLING platform for functional genomics in Brassica napus, and for introduction of novel allelic variation in rapeseed breeding.• Forward genetic screening of mutants from the M2 populations resulted in identification of a large number of novel phenotypes. Reverse genetic screening focused on the potentially multi-paralogous gene FAE1 (fatty acid elongase1), which controls seed erucic acid synthesis in rapeseed. A B. napus BAC library was screened, and loci in a reference mapping population (TNDH) were mapped to conclude that there are two paralogous copies of FAE1, one on each of the B. napus A and C genomes.• A new procedure is demonstrated to identify novel mutations in situations where two or more very similar paralogous gene copies exist in a genome. The procedure involves TILLING of single plants, using existing SNPs as a positive control, and is able to distinguish novel mutations based on primer pairs designed to amplify both FAE1 paralogues simultaneously.• The procedure was applied to 1344 M2 plants, with 19 mutations identified, of which three were functionally compromised with reduced seed erucic acid content.

Genotype dependency is the most important factor in wheat genetic transformation, which further limits wheat improvement by transgenic integration and genome editing approaches. The application of regeneration related genes during in vitro culture could potentially contribute to enhancement of plant transformation e ciency. In the present study, a wheat gene TaCB1 in the WUSCHEL family was identi ed to dramatically increase the transformation e ciencies of many wheat varieties without genotype dependency after its over-expression. The expression of TaCB1 in wheat calli did not prohibit shoot differentiation and root development. The application of TaCB1 can lighten the requirement to wheat immature embryo for plant regeneration. Transgenic wheat plants can be clearly recognized by the visible phenotype of wide ag leaves. The promise function of TaCB1 on improving transformation e ciency was also tested in T. monococcum, triticale, rye, barley, and maize.