The Mass Distribution and Rotation Curve in the Galaxy

The mass distribution in the Galaxy is determined by dynamical and photometric methods. Rotation curves are the major tool for determining the dynamical mass distribution in the Milky Way and spiral galaxies. The photometric (statistical) method utilizes luminosity profiles from optical and infrared observations, and assumes empirical values of the mass-to-luminosity (M/L) ratio to convert the luminosity to mass. In this chapter the dynamical method is described in detail, and rotation curves and mass distribution in the Milky Way and nearby spiral galaxies are presented. The dynamical method is categorized into two methods: the decomposition method and direct method. The former fits the rotation curve by calculated curve assuming several mass components such as a bulge, disk and halo, and adjust the dynamical parameters of each component. Explanations are given of the mass profiles as the de Vaucouleurs law, exponential disk, and dark halo profiles inferred from numerical simulations. Another method is the direct method, with which the mass distribution can be directly calculated from the data of rotation velocities without employing any mass models. Some results from both methods are presented, and the Galactic structure is discussed in terms of the mass. Rotation curves and mass distributions in external galaxies are also discussed, and the fundamental mass structures are shown to be universal.Comment: 54 pages, 25 figures, in 'Planets, Stars and Stellar Systems', Springer, Vol. 5, ed. G. Gilmore, Chap. 19. Note: Preprint with full figures is available from http://www.ioa.s.u-tokyo.ac.jp/~sofue/htdocs/2013psss

The map-1 Gene Family in Root-Knot Nematodes, Meloidogyne spp.: A Set of Taxonomically Restricted Genes Specific to Clonal Species

Taxonomically restricted genes (TRGs), i.e., genes that are restricted to a limited subset of phylogenetically related organisms, may be important in adaptation. In parasitic organisms, TRG-encoded proteins are possible determinants of the specificity of host-parasite interactions. In the root-knot nematode (RKN) Meloidogyne incognita, the map-1 gene family encodes expansin-like proteins that are secreted into plant tissues during parasitism, thought to act as effectors to promote successful root infection. MAP-1 proteins exhibit a modular architecture, with variable number and arrangement of 58 and 13-aa domains in their central part. Here, we address the evolutionary origins of this gene family using a combination of bioinformatics and molecular biology approaches. Map-1 genes were solely identified in one single member of the phylum Nematoda, i.e., the genus Meloidogyne, and not detected in any other nematode, thus indicating that the map-1 gene family is indeed a TRG family. A phylogenetic analysis of the distribution of map-1 genes in RKNs further showed that these genes are specifically present in species that reproduce by mitotic parthenogenesis, with the exception of M. floridensis, and could not be detected in RKNs reproducing by either meiotic parthenogenesis or amphimixis. These results highlight the divergence between mitotic and meiotic RKN species as a critical transition in the evolutionary history of these parasites. Analysis of the sequence conservation and organization of repeated domains in map-1 genes suggests that gene duplication(s) together with domain loss/duplication have contributed to the evolution of the map-1 family, and that some strong selection mechanism may be acting upon these genes to maintain their functional role(s) in the specificity of the plant-RKN interactions

Plasma and neutrophil fatty acid composition in advanced cancer patients and response to fish oil supplementation

Metabolic demand and altered supply of essential nutrients is poorly characterised in patients with advanced cancer. A possible imbalance or deficiency of essential fatty acids is suggested by reported beneficial effects of fish oil supplementation. To assess fatty acid status (composition of plasma and neutrophil phospholipids) in advanced cancer patients before and after 14 days of supplementation (12±1 g day−1) with fish (eicosapentaenoic acid, and docosahexaenoic acid) or placebo (olive) oil. Blood was drawn from cancer patients experiencing weight loss of >5% body weight (n=23). Fatty acid composition of plasma phospholipids and the major phospholipid classes of isolated neutrophils were determined using gas liquid chromatography. At baseline, patients with advanced cancer exhibited low levels (<30% of normal values) of plasma phospholipids and constituent fatty acids and elevated 20 : 4 n-6 content in neutrophil phospholipids. High n-6/n-3 fatty acid ratios in neutrophil and plasma phospholipids were inversely related to body mass index. Fish oil supplementation raised eicosapentaenoic acid and docosahexaenoic acid content in plasma but not neutrophil phospholipids. 20 : 4 n-6 content was reduced in neutrophil PI following supplementation with fish oil. Change in body weight during the supplementation period related directly to increases in eicosapentaenoic acid in plasma. Advanced cancer patients have alterations in lipid metabolism potentially due to nutritional status and/or chemotherapy. Potential obstacles in fatty acid utilisation must be addressed in future trials aiming to improve outcomes using nutritional intervention with fish oils

Shedding Light on the Galaxy Luminosity Function

From as early as the 1930s, astronomers have tried to quantify the statistical nature of the evolution and large-scale structure of galaxies by studying their luminosity distribution as a function of redshift - known as the galaxy luminosity function (LF). Accurately constructing the LF remains a popular and yet tricky pursuit in modern observational cosmology where the presence of observational selection effects due to e.g. detection thresholds in apparent magnitude, colour, surface brightness or some combination thereof can render any given galaxy survey incomplete and thus introduce bias into the LF. Over the last seventy years there have been numerous sophisticated statistical approaches devised to tackle these issues; all have advantages -- but not one is perfect. This review takes a broad historical look at the key statistical tools that have been developed over this period, discussing their relative merits and highlighting any significant extensions and modifications. In addition, the more generalised methods that have emerged within the last few years are examined. These methods propose a more rigorous statistical framework within which to determine the LF compared to some of the more traditional methods. I also look at how photometric redshift estimations are being incorporated into the LF methodology as well as considering the construction of bivariate LFs. Finally, I review the ongoing development of completeness estimators which test some of the fundamental assumptions going into LF estimators and can be powerful probes of any residual systematic effects inherent magnitude-redshift data.Comment: 95 pages, 23 figures, 3 tables. Now published in The Astronomy & Astrophysics Review. This version: bring in line with A&AR format requirements, also minor typo corrections made, additional citations and higher rez images adde

Identification of gene expression differences between Globodera pallida and G-'mexicana' by suppression subtractive hybridization

Globodera pallida and G. 'mexicana' are closely related nematode species that can mate and form viable hybrids on tomato but usually develop on different Solanaceous plants. Identification of nematode genes involved in parasitism is important for elucidation of disease resistance mechanisms in plants. In this study, we have used suppression subtractive hybridization (SSH) to investigate differences between the transcriptomes of G. pallida and G. 'mexicana' J2s. This provides a basis for further studies characterizing pathogenicity factors in these nematodes. None of the cDNA fragments isolated in the SSH experiments appeared to be completely absent from the other transcriptome. Differences in expression levels of some of the isolated cDNAs between the two species were detected. Sequence analysis revealed that nearly 85% of the cloned sequences are nematode specific and a high proportion were pioneer genes for which no putative homologues were present in the databases. However, homologues of a cellulase and a putative pathogenicity factor previously described from G. rostochiensis were isolated. The putative roles of these sequences in parasitism are discussed.</p

Capture of nematodes using antiserum and lectin-coated magnetised beads

Plant-parasitic nematodes are small and extremely difficult to identify. Previous studies have demonstrated the potential for lectin- or antibody-assisted identification of nematodes. We present an extension of this technology, using antibody- or lectin-coated magnetic beads (Dynabeads) to recover target nematodes from mixtures of specimens. Lectins and antisera that bound specifically and reproducibly to the whole surface of second stage juveniles of Globodera rostochiensis and Meloidogyne arenaria were identified. These were then used as probes bound to Dynabeads to recover nematodes from test suspensions. While both types of probe isolated nematodes from suspension. antibody-coated beads recovered them more efficiently than beads coated with lectins. Other factors that affected the efficiency of recovery, such as the age of the nematode samples. were analysed. This study revealed that Dynabeads coated with a probe of suitable specificity could be used to extract nematodes from mixtures of species. This technology may ultimately be useful in 'non-expert systems' for routine detection and quantification of nematode species.</p

Analysis of genes expressed in second stage juveniles of the potato cyst nematodes Globodera rostochiensis and G. pallida using the expressed sequence tag approach

Expressed sequence tag (EST) projects offer a rapid route to the discovery of novel genes. Genes expressed in a wide range of parasitic nematodes of medical or veterinary importance have been investigated using EST analysis but these techniques have not yet been applied to plant parasitic nematodes. We describe a small scale EST project using cDNA libraries made from the two species of potato cyst nematode, Globodera rostochiensis and G. pallida, and assess the utility of this approach to identify mRNAs encoding abundantly expressed secreted proteins and other proteins present in the nematode at the onset of parasitism. Approximately 1000 sequences were obtained from G. rostochiensis and 100 from G. pallida. A variety of genes was characterised and approximately 11% of the cDNAs sequenced were apparently PCN specific. Secreted proteins identified included a novel PCN homologue of chorismate mutase, a cDNA recently cloned from the gland cells of Meloidogyne javanica. The results obtained justify a much larger scale application of this technology to these parasites