11 research outputs found
Climatic information improves statistical individual-tree mortality models for three key species of Sichuan Province, China
Identification and characterization of QTL controlling Agrobacterium-mediated transient and stable transformation of Brassica oleracea
A commonly encountered difficulty with the genetic engineering of crop plants is that different varieties of a particular species can show great variability in the efficiency with which they can be transformed. This increases the effort required to introduce transgenes into particular genetic backgrounds. The use of Substitution Lines has allowed the finer mapping of three Quantitative Trait Loci (tf1, tf2 and tf3) that explain 26% of the variation in the efficiency of Agrobacterium-mediated transformation in Brassica oleracea. Use of an ‘orthogonal set’ of genotypes (containing all eight possible combinations of ‘positive’ and ‘negative’ alleles at the three QTL), along with time course studies of transgene expression, has allowed the determination of the stages at which these genes have their effects during transformation. With regard to control of the level of transient transgene expression, tf1 (on LGO1) alone has no detectable effect, whilst tf2 (on LGO3) and tf3 (on LGO7) have highly significant effects (P \u3c 0.001). All three loci have highly significant (P \u3c 0.001) effects on the levels of expression of stably integrated transgene. The use of RFLP markers has shown that tf1 and tf2 are in duplicated regions of the B. oleracea genome and appear to be paralogous in origin. Colinearity of these regions with the A. thaliana genome has been identified. The results allow the selection of progeny Brassica oleracea genotypes that are more efficiently transformed than either parent used in the original cross
A restrictive policy for red blood cell transfusion in older hip fracture patients: experiences from a patient register
Markov chain estimation for test theory without an answer key
consensus theory, Bayesian inference, Markov Chain Monte Carlo, posterior predictive model evaluation, Bayesian model selection,