Present and future potential of pineapple biotechnology

Pineapple is an important crop for many countries in Central and South America as well as the Asia-Pacific region. Even though the history of the crop dates to pre-Colombian times there is a remarkable lack of commercial varieties with a single cultivar ‘Smooth Cayenne’ dominating the whole industry. Variety improvement is a very difficult task for pineapple breeders and very little progress has been made in this respect when compared to other crops more suitable to classical breeding approaches. This special characteristic makes pineapple specially suited for genetic engineering approaches that can transfer specific traits from other species into pineapple. In this presentation past and present efforts to use biotechnological methods for the improvement of pineapple will be reviewed. On-going biotechnology projects include control of flowering and control of ‘blackheart’ disease. The development of pineapple biotechnology, as with any other crop, is dependent on the availability of a number of molecular tools, which will also be discussed. For pineapple, these tools can be roughly classified into three different categories: (1) availability of useful genes (2) availability of suitable promoters and (3) availability of an efficient transformation method.

The transform likelihood ratio method for rare event simulation with heavy tails

We present a novel method, called the transform likelihood ratio (TLR) method, for estimation of rare event probabilities with heavy-tailed distributions. Via a simple transformation ( change of variables) technique the TLR method reduces the original rare event probability estimation with heavy tail distributions to an equivalent one with light tail distributions. Once this transformation has been established we estimate the rare event probability via importance sampling, using the classical exponential change of measure or the standard likelihood ratio change of measure. In the latter case the importance sampling distribution is chosen from the same parametric family as the transformed distribution. We estimate the optimal parameter vector of the importance sampling distribution using the cross-entropy method. We prove the polynomial complexity of the TLR method for certain heavy-tailed models and demonstrate numerically its high efficiency for various heavy-tailed models previously thought to be intractable. We also show that the TLR method can be viewed as a universal tool in the sense that not only it provides a unified view for heavy-tailed simulation but also can be efficiently used in simulation with light-tailed distributions. We present extensive simulation results which support the efficiency of the TLR method.

Method for the generation and cultivation of functional three-dimensional mammary constructs without exogenous extracellular matrix

During puberty, pregnancy, lactation and postlactation, breast tissue undergoes extensive remodelling and the disruption of these events can lead to cancer. In vitro studies of mammary tissue and its malignant transformation regularly employ mammary epithelial cells cultivated on matrigel or floating collagen rafts. In these cultures, mammary epithelial cells assemble into three-dimensional structures resembling in vivo acini. We present a novel technique for generating functional mammary constructs without the use of matrix substitutes.

Non-linear principal components analysis: an alternative method for finding patterns in environmental data

The main purpose of this article is to gain an insight into the relationships between variables describing the environmental conditions of the Far Northern section of the Great Barrier Reef, Australia, Several of the variables describing these conditions had different measurement levels and often they had non-linear relationships. Using non-linear principal component analysis, it was possible to acquire an insight into these relationships. Furthermore. three geographical areas with unique environmental characteristics could be identified. Copyright (c) 2005 John Wiley & Sons, Ltd.