The Medicago genome provides insight into the evolution of rhizobial symbioses

Legumes (Fabaceae or Leguminosae) are unique among cultivated plants for their ability to carry out endosymbiotic nitrogen fixation with rhizobial bacteria, a process that takes place in a specialized structure known as the nodule. Legumes belong to one of the two main groups of eurosids, the Fabidae, which includes most species capable of endosymbiotic nitrogen fixation1. Legumes comprise several evolutionary lineages derived from a common ancestor 60 million years ago (Myr ago). Papilionoids are the largest clade, dating nearly to the origin of legumes and containing most cultivated species2. Medicago truncatula is a long-established model for the study of legume biology. Here we describe the draft sequence of the M. truncatula euchromatin based on a recently completed BAC assembly supplemented with Illumina shotgun sequence, together capturing ~94% of all M. truncatula genes. A whole-genome duplication (WGD) approximately 58 Myr ago had a major role in shaping the M. truncatula genome and thereby contributed to the evolution of endosymbiotic nitrogen fixation. Subsequent to the WGD, the M. truncatula genome experienced higher levels of rearrangement than two other sequenced legumes, Glycine max and Lotus japonicus. M. truncatula is a close relative of alfalfa (Medicago sativa), a widely cultivated crop with limited genomics tools and complex autotetraploid genetics. As such, the M. truncatula genome sequence provides significant opportunities to expand alfalfa’s genomic toolbo

Leray and LANS-α\alpha modeling of turbulent mixing

Mathematical regularisation of the nonlinear terms in the Navier-Stokes equations provides a systematic approach to deriving subgrid closures for numerical simulations of turbulent flow. By construction, these subgrid closures imply existence and uniqueness of strong solutions to the corresponding modelled system of equations. We will consider the large eddy interpretation of two such mathematical regularisation principles, i.e., Leray and LANS$-\alpha$ regularisation. The Leray principle introduces a {\bfi smoothed transport velocity} as part of the regularised convective nonlinearity. The LANS$-\alpha$ principle extends the Leray formulation in a natural way in which a {\bfi filtered Kelvin circulation theorem}, incorporating the smoothed transport velocity, is explicitly satisfied. These regularisation principles give rise to implied subgrid closures which will be applied in large eddy simulation of turbulent mixing. Comparison with filtered direct numerical simulation data, and with predictions obtained from popular dynamic eddy-viscosity modelling, shows that these mathematical regularisation models are considerably more accurate, at a lower computational cost.Comment: 42 pages, 12 figure

Huge decreases in the risk of breast cancer relapse over the last three decades

Introduction The aim of this study was to evaluate local and systemic breast cancer control by comparing the risk of relapse in breast cancer patients in 2003–2004 with that in 1972–1979 and in 1980–1986. Methods About 8,570 women diagnosed with invasive breast cancer in 2003–2004 were selected from the population-based Netherlands Cancer Registry and compared with 133 patients treated in 1972–1979 and 174 in 1980–1986. Five-year risk of relapse was calculated by the Kaplan–Meier method. Cox-proportional hazard models were applied to adjust for tumour size, nodal status and age at diagnosis. Results Patients diagnosed in 2003–2004 had smaller tumours and a less advanced nodal stage than patients diagnosed in 1972–1986. In 1972–1979, 1980–1986 and 2003–2004, treatment included mastectomy in 94%, 72% and 47%; postmastectomy radiotherapy in 75%, 70% and 30%; chemotherapy in 9%, 14% and 37% and hormonal therapy in 3%, 3% and 42% of patients, respectively. Five-year risk of locoregional and distant recurrence decreased from 37% and 34% to 15%, respectively. The 5-year risk of second primary breast cancer did not differ and was 1%, 4% and 2%, respectively. The improved relapse-free survival in patients diagnosed in 2003–2004 as compared with 1972–1979 hardly changed after adjustment (HR = 0.38, 95% CI = 0.28–0.52). Conclusion Over the last decades, local breast cancer therapies have become less rigorous, whereas systemic therapy use has increased. Simultaneously, the risk of breast cancer relapse has tremendously decreased. Future novel therapies may lead to such small additional decreases in relapse rates, while the long-term side effects in breast cancer survivors will increas

Spatial stability of the compressible attachment-line boundary layer and generalized similarity properties

We consider the linear stability of compressible attachment-line flow within the spatial framework. A fully two-dimensional approach is developed to compute the eigensolutions. The results show that compressibility has a stabilizing influence on the attachment-line boundary layer. The mode which satises the G¨ortler-H¨ammerlin assumption appears as the least stable mode. Furthermore, the results show that other two-dimensional modes which have approximately the same wave number and growth rate exist. These modes satisfy an extended similarity model and show algebraic growth in the chordwise coordinate for high Reynolds numbers. Thus, in the chordwise direction these two-dimensional modes are shown to grow faster than the mode satisfying the G¨ortler-H¨ammerlin assumption. Moreover, this algebraic growth in the chordwise direction increases for the more stable modes

DEGREES OF COMPETITION, THE RATE OF RETURN AND GROWTH FROM A CLASSICAL/SRAFFIAN PERSPECTIVE

The purpose of the paper is a clarification of the concept of competition from a classical/ Sraffian perspective; including an elucidation of how a classical/Sraffian approach might go about defining the degree of competition. This in turn allows for a sharper contrast between the Sraffian view of competition and mainstream views. The starting point for the analysis is the work of Clifton which interprets the classical/Sraffian view of competition as more general than that of orthodoxy: one which can encompass competition between production units in a given industry as something constrained by more dominant forms of competition such as that between production units across industries for shares of the corporate surplus. Following on from the work of both Clifton and Semmler, and starting from the assumption that multi-divisional corporation is the relevant “firm”, and that the corporate target rate of return is the relevant rate of profit, the question arises as to what determines the latter. And this question has received very little attention outside the more traditional post-Keynesian literature on pricing. The paper explores what is probably the most serious attempt within this literature - in the work of Eichner - to explain the target rate, in terms the desired growth rate of the corporation. This proposition has some interesting implications for a Sraffian approach, not least because it allows a link running from the expected growth of the economy to the target rate and thus the rate of profit. This in turn requires a discussion of the consistency of such a link with the Sraffian critique of the Cambridge growth equation. As well, a link between the target rate of return and the desired corporate growth rate link also has implications for the mechanics by which sectoral profit rates converge and thus for the classical/Sraffian literature on cross-dual dynamics

Predicting preferential DNA vector insertion sites: implications for functional genomics and gene therapy

Viral and transposon vectors have been employed in gene therapy as well as functional genomics studies. However, the goals of gene therapy and functional genomics are entirely different; gene therapists hope to avoid altering endogenous gene expression (especially the activation of oncogenes), whereas geneticists do want to alter expression of chromosomal genes. The odds of either outcome depend on a vector's preference to integrate into genes or control regions, and these preferences vary between vectors. Here we discuss the relative strengths of DNA vectors over viral vectors, and review methods to overcome barriers to delivery inherent to DNA vectors. We also review the tendencies of several classes of retroviral and transposon vectors to target DNA sequences, genes, and genetic elements with respect to the balance between insertion preferences and oncogenic selection. Theoretically, knowing the variables that affect integration for various vectors will allow researchers to choose the vector with the most utility for their specific purposes. The three principle benefits from elucidating factors that affect preferences in integration are as follows: in gene therapy, it allows assessment of the overall risks for activating an oncogene or inactivating a tumor suppressor gene that could lead to severe adverse effects years after treatment; in genomic studies, it allows one to discern random from selected integration events; and in gene therapy as well as functional genomics, it facilitates design of vectors that are better targeted to specific sequences, which would be a significant advance in the art of transgenesis