Molecular phylogeny of Alnus (Betulaceae), inferred from nuclear ribosomal DNA ITS sequences

The nuclear ITS region of 19 species of Alnus was amplified and sequenced. The inferred molecular phylogeny shows that all species of the genus Alnus form a monophyletic group close to Betula and that the fundamental dichotomy within the genus lies between the subgenera Alnaster and Gymnothyrsus, sensu Murai (1964). The subgenus Alnaster appears to be basal in the genus, based on archaism of morphological features, and branching close to the root of the trees due to low ITS divergence from genus Betula. The monophyly of the section Clethropsis is not supported by the present data: Alnus nepalensis is positioned in the subgenus Gymnothyrsus, away from A. nitida and A. maritima. Surprisingly, A. formosana sect. Japonicae is closely tied to A. maritima sect. Clethropsis, with which it shares few morphological traits, and is separate from A. japonica sect. Japonicae with which it shares many traits. An increase in substitution rate is noted in the group comprising A. formosana, A. maritima and A. nitida relative to the rest of the genus, which appears to have had, on the average, a very slow mutation rate. Alnus glutinosa, the designated type for the genus, appears to be representative of the genus both for morphological characters and evolutionary rate. North-East Asia is comforted in its position of origin of the genus since not only does it have the highest number of species and representatives in all deep branching lineages, there are also fewer transcontinental migrations when a North-East Asian ancestor is postulated than when a North American ancestor is postulated.     

Neurotrophic growth factors stimulate glycosaminoglycan synthesis in identified retinal cell populations in vitro

Glycosaminoglycans (GAG) are known to participate in central nervous system processes such as development, cell migration, and neurite outgrowth, but little is known with respect to their regulation through soluble neurotrophic factors. In the present study, we have addressed this issue using cell culture models of three distinct cell populations derived from young rat retinas, namely, purified M uller glia, pigmented epithelium, and neurons respectively. Cultures were maintained in chemically defined media in the presence or absence of either basic fibroblast or epidermal growth factor. In control glial and epithelial cultures, hyaluronic acid dominated the soluble GAG pool, with lesser contributions from dermatan sulfate, chondroitin sulfate, and heparan sulfate (in decreasing order). Retinal neuronal GAG were almost exclusively chondroitin sulfate (approximately 90%). Treatment of glial and epithelial cultures with either factor led to dose-dependent increases in especially hyaluronic acid synthesis (a maximum 6-fold increase relative to control levels), with smaller but consistent changes in chondroitin sulfate. Similar treatment of retinal neurons did not lead to any changes in GAG synthesis. These data indicate that glia and pigment epithelia are the principal sources of GAG components in retina at least in vitro, and that endogenous neurotrophic growth factors can greatly modify GAG synthesis in these two retinal cell populations. Such data suggest that a delicate balance may exist between growth factor availability and glycoconjugate metabolism in vivo, participating in normal or pathological states of the retina.      

Macroecology in the age of Big Data – Where to go from here?

Recent years have seen an exponential increase in the amount of data available in all sciences and application domains. Macroecology is part of this “Big Data” trend, with a strong rise in the volume of data that we are using for our research. Here, we summarize the most recent developments in macroecology in the age of Big Data that were presented at the 2018 annual meeting of the Specialist Group Macroecology of the Ecological Society of Germany, Austria and Switzerland (GfÖ). Supported by computational advances, macroecology has been a rapidly developing field over recent years. Our meeting highlighted important avenues for further progress in terms of standardized data collection, data integration, method development and process integration. In particular, we focus on (a) important data gaps and new initiatives to close them, for example through space- and airborne sensors, (b) how various data sources and types can be integrated, (c) how uncertainty can be assessed in data-driven analyses and (d) how Big Data and machine learning approaches have opened new ways of investigating processes rather than simply describing patterns. We discuss how Big Data opens up new opportunities, but also poses new challenges to macroecological research. In the future, it will be essential to carefully assess data quality, the reproducibility of data compilation and analytical methods, and the communication of uncertainties. Major progress in the field will depend on the definition of data standards and workflows for macroecology, such that scientific quality and integrity are guaranteed, and collaboration in research projects is made easier.     

Cost of surfactant replacement treatment for severe neonatal respiratory distress syndrome: a randomised controlled trial.

OBJECTIVE--To estimate the cost of treating babies with severe respiratory distress syndrome with natural porcine surfactant. DESIGN--Retrospective controlled survey. SETTING--Regional neonatal intensive care unit, Belfast. PATIENTS--33 Preterm babies with severe respiratory distress syndrome who were enrolled in a European multicentre trial during 1985-7. 19 Babies were treated with surfactant and 14 served as controls. INTERVENTIONS--Treatment with natural porcine surfactant. MAIN OUTCOME MEASURE--Cost associated with surfactant replacement treatment per extra survivor in the treatment group and cost per quality adjusted life year for each extra survivor. RESULTS--Fifteen (79%) of the 19 treated babies and five (36%) of the 14 control babies survived. On average, the control babies required 20 days in hospital compared with 61 days for the treated babies (or 95 [corrected] days per extra survivor in the treatment group). The cost per extra survivor in the treatment group was pounds 13,720, with the cost per quality adjusted life year estimated at pounds 710. CONCLUSION--These costs compare favourably with those of established forms of treatment in adults. Thus surfactant replacement treatment for severe respiratory distress syndrome is fairly inexpensive and cost effective.     

Distribution and metabolism of corticotropin-releasing factor in the rat

To develop a mathematical model of the distribution and metabolism of rat corticotropin-releasing factor (rCRF), the time course of 125I-labelled rCRF in plasma was measured in male Sprague-Dawley rats (i) following a rapid injection of 24 ng rCRF/100 g body weight (BW), or (ii) following a rapid injection of 424 ng rCRF/100 g BW, or (iii) during an infusion at a rate ranging from 0.28 to 0.73 ng rCRF X min-1 X 100 g BW-1. The comparison of the one-, two-, and three-compartment models shows that the two-pool structure fits better to the dynamics of CRF in plasma as measured in each rat. Following a rapid injection the decay curve occurs in a biphasic manner; the early phase of disappearance is 25 times faster than the late one. There is no significant difference between the estimates of the metabolic clearance rate following both amplitudes of injection (0.40 +/- 0.06 and 0.48 +/- 0.05 mL X min-1 X 100 g BW-1). The volume of the first pool, 16.8 +/- 1.1 mL/100 g BW, is four times larger than the plasma volume. It would thus appear that CRF is rapidly distributed from plasma into several tissues which are represented in the first pool of the model. The mean residence time of every CRF molecule in the second compartment, from the moment of secretion to its elimination, is from three to four times longer than in the first one. It stays, on average, between 140 min and 3 h in the system before an irreversible exit.(ABSTRACT TRUNCATED AT 250 WORDS)     

The nodular microsymbionts of Gymnostoma spp. are Elaeagnus-infective Frankia strains.

The phylogenetic relationships of Frankia strains infective on Gymnostoma with other Frankia strains was analyzed. Partial sequencing of the 16S rDNA and use of specific primers showed that the Frankia strains present in Gymnostoma are phylogenetically close to Elaeagnus-infective strains. This finding was confirmed by using the sequences of the hypervariable nifDK intergenic spacer. The strains present in Gymnostoma nodules were close to one another. Clustered with Elaeagnus-infective strains, and distantly related to Casuarina and Alnus-infective strains. Morphological observations of strains and cross-inoculation trials showed that Gymnostoma-infective strains are indistinguishable from Elaeagnus-infective strains. Results of both phenotypic and genotypic approaches indicate that Gymnostoma-infective strains are Elaeagnus infective and not Casuarina infective.