Mucinaea (Hyacinthaceae-Urgineoideae), a Remarkable New Genus from Namaqualand (Northern Cape Province, South Africa)

We here describe a new genus from Namaqualand, which is based on Tenicroa nana Snijman. Mucinaea M. Pinter, Mart.-Azorín, U. Müll.-Doblies, D. Müll.- Doblies, Pfosser & Wetschnig gen. nov. shows several character-states different from all other known species of Tenicroa and a few even do not occur in any other genus of Hyacinthaceae. Mucinaea M. Pinter & al. is easily distinguishable by its purplish-pink tepals bearing a double-eyed green floral marking at their base, surrounded by a white margin, unique within Hyacinthaceae. It also differs by the single sheathing cataphyll without raised transverse ribs, different from the other species of Tenicroa, and by the second sheath consisting of a compound of the bases of about ten foliage leaves, surrounding about ten further free foliage leaves, what is a unique structure in the bulbous world. Mucinaea with Mucinaea nana (Snijman) M. Pinter & al. comb. nova is a monotypic genus, only known from three quarter - degree squares in the Northern Cape Province of South Africa. Data on morphology, ecology and distribution are given. Additionally, this separation leads to the monophyly of the genus Tenicroa

Phytochemical investigations of three Rhodocodon (Hyacinthaceae Sensu APG II) species

The genus Rhodocodon (Hyacinthaceae sensu APG II) is endemic to Madagascar and its phytochemistry has not been described previously. The phytochemistry of three species in this genus has been investigated and eight compounds, including three bufadienolides (compounds 1, 4, and 5), a norlignan (2), and four homoisoflavonoids (compounds 3 and 6-8) have been isolated and identified. Compounds 1-3 and 6-8 have not been described previously. The COX-2 inhibitory activity of compound 6 and compound 7 acetate (compound 7A) were investigated on isolated colorectal cancer cells. Compounds 6 and 7A inhibited COX-2 by 10% and 8%, respectively, at a concentration of 12.5 M compared to 12% for 1 mM aspirin (the positive control)

DETERMINING OPTIMAL STRATEGIES FOR INVESTMENTS IN AN EMERGING IT INNOVATION

To generate competitive advantages through investments in emerging IT innovations, an economically well-founded investment strategy is of decisive importance, since timing and extent of investment amounts considerably determine the associated risk and return profile. Due to the uncertainty about emerging IT innovations, an early market entry time is associated with high risk, but offer high returns. A later market entry may carry lower risk but only offers lower returns. To take advantage of both investment strategies while reducing their disadvantages, a mix of both investment strategies can be advantageous. Companies often choose strict early or later investment strategies since an adequate assessment of possible combiniation opportunities and risks is not carried out in advance and company- and innovation-specific factors are neglected. Thus, we develop a quantitative optimization model enabling the determination of an optimal investment strategy and budget allocation to the two different investment strategies in the sense of maximizing the investment´s overall NPV supplementing previous studies by considering company- and IT innovation-specific factors. We show that strict investment strategies are often disadvantageous, that the amount of the investment budget influences the innovation´s expected NPV and that the company\u27s innovativeness has a strong influence on the innovation budget allocation

Modeling IT Availability Risks in Smart Factories

In the course of the ongoing digitalization of production, production environments have become increasingly intertwined with information and communication technology. As a consequence, physical production processes depend more and more on the availability of information networks. Threats such as attacks and errors can compromise the components of information networks. Due to the numerous interconnections, these threats can cause cascading failures and even cause entire smart factories to fail due to propagation effects. The resulting complex dependencies between physical production processes and information network components in smart factories complicate the detection and analysis of threats. Based on generalized stochastic Petri nets, the paper presents an approach that enables the modeling, simulation, and analysis of threats in information networks in the area of connected production environments. Different worst-case threat scenarios regarding their impact on the operational capability of a close-to-reality information network are investigated to demonstrate the feasibility and usability of the approach. Furthermore, expert interviews with an academic Petri net expert and two global leading companies from the automation and packaging industry complement the evaluation from a practical perspective. The results indicate that the developed artifact offers a promising approach to better analyze and understand availability risks, cascading failures, and propagation effects in information networks in connected production environments

Targeting and killing of glioblastoma with activated T cells armed with bispecific antibodies

Abstract Background Since most glioblastomas express both wild-type EGFR and EGFRvIII as well as HER2/neu, they are excellent targets for activated T cells (ATC) armed with bispecific antibodies (BiAbs) that target EGFR and HER2. Methods ATC were generated from PBMC activated for 14 days with anti-CD3 monoclonal antibody in the presence of interleukin-2 and armed with chemically heteroconjugated anti-CD3×anti-HER2/neu (HER2Bi) and/or anti-CD3×anti-EGFR (EGFRBi). HER2Bi- and/or EGFRBi-armed ATC were examined for in vitro cytotoxicity using MTT and 51Cr-release assays against malignant glioma lines (U87MG, U118MG, and U251MG) and primary glioblastoma lines. Results EGFRBi-armed ATC killed up to 85% of U87, U118, and U251 targets at effector:target ratios (E:T) ranging from 1:1 to 25:1. Engagement of tumor by EGFRBi-armed ATC induced Th1 and Th2 cytokine secretion by armed ATC. HER2Bi-armed ATC exhibited comparable cytotoxicity against U118 and U251, but did not kill HER2-negative U87 cells. HER2Bi- or EGFRBi-armed ATC exhibited 50—80% cytotoxicity against four primary glioblastoma lines as well as a temozolomide (TMZ)-resistant variant of U251. Both CD133– and CD133+ subpopulations were killed by armed ATC. Targeting both HER2Bi and EGFRBi simultaneously showed enhanced efficacy than arming with a single BiAb. Armed ATC maintained effectiveness after irradiation and in the presence of TMZ at a therapeutic concentration and were capable of killing multiple targets. Conclusion High-grade gliomas are suitable for specific targeting by armed ATC. These data, together with additional animal studies, may provide the preclinical support for the use of armed ATC as a valuable addition to current treatment regimens

A taxonomic revision of Tenicroa (Hyacinthaceae, Urgineoideae) – including four new species and two new combinations

Within the framework of a taxonomic revision of Hyacinthaceae subfamily Urgineoideae (Asparagaceae tribe Urgineeae) combining morphological and genetic data from numerous samples across its whole range of distribution, we here present a taxonomic revision of Tenicroa. Species of Tenicroa have a very intricate history and therefore, unlike many others, they have been placed by time in eight different genera. Tenicroa is characterized by having (mostly) synanthous leaves and sheathing cataphylls with raised darker transversal ridges, diurnal stellate flowers with white tepals having a distinct narrow, reddish-brown or greenish band, subbasifixed anthers, and the ovary elliptic-oblong to oblong, with an elongate, deflexed and often sigmoid style, and a papillate stigma. In this context, we here describe four new species (T. applanata, T. fibrosa, T. namibensis, T. polyantha) and present two new combinations (T. flexuosa, T. unifolia) in this genus. An identification key is provided for the 12 accepted species in the genus.This work was partly supported by the University of Graz (Austria), Fundación Ramón Areces (Spain), H2020 Research and Innovation Staff Exchange Programme of the European Commission, project 645636: ‘Insect-plant relationships: insights into biodiversity and new applications’ (FlyHigh), the grant ACIE18–03, UAUSTI18–02 and UAUSTI19–08 from the University of Alicante (Spain)

Rooting and dating maples (Acer) with an uncorrelated-rates molecular clock

Simulations suggest that molecular clock analyses can correctly identify the root of a tree even when the clock assumption is severely violated. Clock-based rooting of phylogenies may be particularly useful when outgroup rooting is problematic. Here, we explore relaxed-clock rooting in the Acer/Dipteronia clade of Sapindaceae, which comprises genera of highly uneven species richness and problematic mutual monophyly. Using an approach that does not presuppose rate autocorrelation between ancestral and descendant branches and hence does not require a rooted a priori topology, we analyzed data fromup to seven chloroplast loci for some 50 ingroup species. For comparison,weused midpoint and outgroup rooting and dating methods that rely on rooted input trees, namely penalized likelihood, a Bayesian autocorrelated-rates model, and a strict clock. The chloroplast sequences used here reject a single global substitution rate, and the assumption of autocorrelated rates was also rejected. The root was placed between Acer and Dipteronia by all three rooting methods, albeit with low statistical support. Analyses of Acer diversification with a lineage-through-time plot and different survival models, although sensitive to missing data, suggest a gradual decrease in the average diversification rate. The nine North American species of Acer diverged from their nearest relatives at widely different times: eastern American Acer diverged in the Oligocene and Late Miocene; western American species in the Late Eocene and Mid Miocene; and the Acer core clade, including A. saccharum, dates to the Miocene. Recent diversification in North America is strikingly rare compared to diversification in eastern Asia

The chemistry and biological activity of the Hyacinthaceae

Covering: 1914 to 2012The Hyacinthaceae (sensu APGII), with approximately 900 species in about 70 genera, can be divided into three main subfamilies, the Hyacinthoideae, the Urgineoideae and the Ornithogaloideae, with a small fourth subfamily the Oziroëoideae, restricted to South America. The plants included in this family have long been used in traditional medicine for a wide range of medicinal applications. This, together with some significant toxicity to livestock has led to the chemical composition of many of the species being investigated. The compounds found are, for the most part, subfamily-restricted, with homoisoflavanones and spirocyclic nortriterpenoids characterising the Hyacinthoideae, bufadienolides characterising the Urgineoideae, and cardenolides and steroidal glycosides characterising the Ornithogaloideae. The phytochemical profiles of 38 genera of the Hyacinthaceae will be discussed as well as any biological activity associated with both crude extracts and compounds isolated. The Hyacinthaceae of southern Africa were last reviewed in 2000 (T. S. Pohl, N. R. Crouch and D. A. Mulholland, Curr. Org. Chem., 2000, 4, 1287-1324; ); the current contribution considers the family at a global level

Molecular phylogenetics of subfamily Urgineoideae (Hyacinthaceae): Toward a coherent generic circumscription informed by molecular, morphological, and distributional data

The taxonomy and systematics of Urgineoideae (Hyacinthaceae) have been controversial in recent decades, with contrasting taxonomic treatments proposed based on preliminary and partial studies that have focused on morphology and/or solely plastid DNA sequence data. Some authors have recognized only two genera, with a very broadly conceived Drimia, while others have accepted several genera that, although better defined morphologically, were doubtfully monophyletic. Here, we present phylogenetic analyses involving four plastid DNA regions (trnL intron, trnL-F spacer, matK, and the trnCGCA-ycf6 intergenic region), a nuclear region (Agt1), and a selection of 40 morphological characters. Our study covers 293 samples and ca. 160 species of Urgineoideae (ca. 80% of its global diversity). Bayesian inference, maximum likelihood, and maximum parsimony analyses were performed to derive the phylogenetic patterns. The combination of data yielded phylogenetic trees with 31 well-defined clades or lineages, most corresponding to previously described genera, although some have required description or revised circumscription. As with other monocot families, a considerable degree of homoplasy was observed in morphological characters, especially in those groups with unspecialized flowers; nonetheless, consistent syndromes of traditional and novel characters are shown to support clade recognition at genus rank. The forthcoming revised classification of Urgineoideae is outlined here

New combinations in the tribe Urgineeae (Asparagaceae subfam. Scilloideae) with comments on contrasting taxonomic treatments

As part of a taxonomic revision of tribe Urgineeae, and informed by morphological and phylogenetic evidence obtained in the last decade, we present 17 new combinations in Austronea, Indurgia, Schizobasis, Tenicroa, Thuranthos, Urgineopsis, and Vera-duthiea. These are for taxa recently described in Drimia sensu latissimo or otherwise named during the past century. We include type information for all considered taxa and designate lectotypes for Drimia pauciflora, Urginea salmonea and U. sebirii. We discuss recent analytic and synthetic approaches to taxonomic arrangements for the Urgineeae and reinforce the support of an analytic treatment that recognises several genera characterised by distinct syndromes of morphological characters, biogeography and molecular evidence