Plant regeneration of grapevine (Vitis sp.) protoplasts isolated from embryogenic tissue

Summary Protoplasts with high embryogenic competence could be isolated from leaf-disk-derived embryos and embryoids of Vitis sp. cv. Seyval blanc. After a 4-week induction treatment in NN-69 medium supplemented with 4.0mg/l naphthoxyacetic acid (NOA) and 0.9mg/l thidiazuron (TDZ) and subsequent subcultivation in hormone-free medium, 38.5% of the developed microcalluses showed somatic embryogenesis. In contrast, only few formed somatic embryos after induction in CPW-13 medium with either 1.0mg/l 2,4-dichlorophenoxyacetic acid and 0.5mg/l benzylaminopurine treatment (13.8%) or NOA/TDZ treatment (1.4%). Up to 30% of these embryos germinated and about half of them regenerated into typical in vitro grapevines when transferred onto LS-medium in culture tubes.Abbreviations BAP benzylaminopurine - BSA bovine serum albumin - 2,4-D 2,4-dichlorophenoxyacetic acid - MES 2-[N-morpholino]-ethanesulfonic acid - NOA naphthoxyacetic acid - PCR polymerase chain reaction - PVP polyvinylpyrrolidone - TDZ thidiazuron     

Restriction map of Chinese hamster mitochondrial DNA containing replication coordinates: comparison with Syrian hamster mitochondrial genome

A precise physical map, containing the structurally and operationally defined D-loop origin, terminal region, and direction of heavy-strand replication, has been constructed for mitochondrial DNA (mtDNA) from ovary (CHO-KI) and lung cells of Chinese hamster (Cricetulus griseus 2 N = 22), and compared with our previously established genome coordinates for mtDNA from Syrian hamster ( Mesocricetus auratus 2 N = 44). All four HpaI sites in Cricetulus are conserved in Mesocricetus (8 sites). Extensive variation exists for hexanucleotides cleaved by EcoRI HindIII PstI. KpnI and BamHI. Sequence divergence between Chinese and Syrian hamster mtDNAs, as reflected from analysis of the mapped recognition sites for these six endonucleases, is estimated as 5–9% base substitutions. mtDNAs from both hamster and several other mammalian species contain a commonly conserved HpaI site in the region of light strand initiation.     

Dicephalic — ADrosophila mutant affecting polarity in follicle organization and embryonic patterning

Summary The mutationdicephalic (dic) affects follicle development and thereby alters the antero-posterior polarity of embryonic patterning. It maps at a single locus (3–46.0±1.0) and can be characterized as a semi-dominant maternal effect mutation with low penetrance. Indic follicles, the 15 nurse cells form two clusters located at opposite poles of the oocyte; the numerical distribution of the nurse cells among the clusters varies from 7:8 to 1:14. Thedic egg shell carries a micropyle (anterior marker) at either pole, but the misshapen respiratory appendages are restricted to one of the two poles in most eggs. The malformed eggs rarely yield larvae and these are always abnormal anteriorly and/or posteriorly. The segment pattern expressed in their cuticle may represent two anterior parts of opposite polarities (double head type), two posterior parts of opposite polarities (double abdomen type, rare) or show uniform polarity. Lability of organization at the cystocyte stage appears as the primary developmental defect of the mutant.     

Unmasking of arachidonate-induced insulin release by removal of extracellular calcium. Arachidonic acid mobilizes cellular calcium in rat islets of Langerhans

Exogenous arachidonic acid does not stimulate insulin release in Ca++-containing medium, but a potent effect was unmasked by extracellular Ca++ depletion. This secretion met several criteria of exocytotic release. It did not require the oxygenation of arachidonate or its esterification into islet membranes, but was potentiated by the presence of 16.7 mM glucose such that 33 microM arachidonate could reverse the inhibitory effects of extracellular Ca++ removal on glucose-induced insulin secretion. Arachidonic acid alone stimulated a rise in intracellular Ca++ concentrations in dispersed islet cells (measured by the fura-2 technique) equal to that induced by 16.7 mM glucose in normal medium. Arachidonic acid may be a critical coupling signal in normal islets.     

Uncertainty in predicting range dynamics of endemic alpine plants under climate warming

Correlative species distribution models have long been the predominant approach to predict species’ range responses to climate change. Recently, the use of dynamic models is increasingly advocated for because these models better represent the main processes involved in range shifts and also simulate transient dynamics. A well‐known problem with the application of these models is the lack of data for estimating necessary parameters of demographic and dispersal processes. However, what has been hardly considered so far is the fact that simulating transient dynamics potentially implies additional uncertainty arising from our ignorance of short‐term climate variability in future climatic trends. Here, we use endemic mountain plants of Austria as a case study to assess how the integration of decadal variability in future climate affects outcomes of dynamic range models as compared to projected long‐term trends and uncertainty in demographic and dispersal parameters. We do so by contrasting simulations of a so‐called hybrid model run under fluctuating climatic conditions with those based on a linear interpolation of climatic conditions between current values and those predicted for the end of the 21st century. We find that accounting for short‐term climate variability modifies model results nearly as differences in projected long‐term trends and much more than uncertainty in demographic/dispersal parameters. In particular, range loss and extinction rates are much higher when simulations are run under fluctuating conditions. These results highlight the importance of considering the appropriate temporal resolution when parameterizing and applying range‐dynamic models, and hybrid models in particular. In case of our endemic mountain plants, we hypothesize that smoothed linear time series deliver more reliable results because these long‐lived species are primarily responsive to long‐term climate averages.