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Fig. 2 in The Crinum flaccidum (Amaryllidaceae) species complex in Australia

Fig. 2. Dendrogram of the morpho-logical data using unweighted pair group method with arithmetic mean and a Gower similarity based on 24 morphological characters. All characters were independent and weighted equally. The Crinum flaccidum species complex has been separated into three clusters, namely, New South Wales, South Australia and C. luteolum. Within C. luteo-lum, the northern morphotype is red and the southern morphotype orange. The letter(s) and numbers at the start of C. flaccidum and C. luteolum samples indicate the population (Table S1).

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Fig. 1 in The Crinum flaccidum (Amaryllidaceae) species complex in Australia

Fig. 1. Cladogram of MrBayes and maximum-Likelihood analysis of Crinum flaccidum species complex with respective branch support values; inferred using K3Pu + F + I + G4 best-fit model. MrBayes/UFBoot2. For the C. flaccidum–luteolum complex, nodes have been collapsed to indicate the main well supported groupings. There is an inset phylogram to show inter-species differences.

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Fig. 3 in The Crinum flaccidum (Amaryllidaceae) species complex in Australia

Fig. 3. Three-dimensional NMDS of Crinum flac-cidum and C. luteolum with biplot analysis of the morphological data using Gower similarity. The vectors are the biplot analysis of the 16 variable morphological characters (Table S3), where direc-tion and length are the extent to which the char-acters are affecting the species complex in the dendrogram (Fig. 2). Group 1 (light blue) consists of all New South Wales Crinum flaccidum samples; Group 2 (dark blue) comprises all South Australian C. flaccdium; and Group 3 was formed using all C. luteolum. The ordination plot has a STRESS score of 11.84%. The polygons represent the area covered by each group. Sample and character codes can be found in Tables S1 and S3 respectively.

Fig. 5 in Alkaloids with cholinesterase inhibitory activities from the bulbs of Crinum × amabile Donn ex Ker Gawl

Fig. 5. Analysis of interactions between AChE and A) crystal (green) and re-docking (cyan) galanthamine structures, B) galanthamine, C) compound 29, as well as interactions between BuChE and D) crystal (violet red) and re-docking (pink) tacrine structures, E) galanthamine and F) compound 29. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

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Fig. 3 in Gigantelline, gigantellinine and gigancrinine, cherylline- and crinine-type alkaloids isolated from Crinum jagus with anti-acetylcholinesterase activity

Fig. 3. Experimental ECD spectra of gigantelline (1) (black solid line), gigantellinine (2) (blue dotted line) and cherylline (5) (green dashed line) measured in methanol (ca. 3 mM, 0.1 cm cell). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 5 in Streamlined targeting of Amaryllidaceae alkaloids from the bulbs of Crinum scillifolium using spectrometric and taxonomically-informed scoring metabolite annotations

Fig. 5. Comparison of the experimental ECD spectra of 2 and calculated ECD spectra for stereoisomer of 2 shown in Fig. 2.

Fig. 1. Overall molecular network obtained from MZmine2 in Streamlined targeting of Amaryllidaceae alkaloids from the bulbs of Crinum scillifolium using spectrometric and taxonomically-informed scoring metabolite annotations

Fig. 1. Overall molecular network obtained from MZmine2-preprocessed HPLC-MS2 data of C. scillifolium bulbs crude alkaloid extract and first chromatographic fractions. Triangle-shaped nodes are tentatively-tagged against ISDB and benefit from a taxonomical re-ranking of the tentative candidates (their structures are provided in Fig. S1, Supporting Information). Nodes highlighted in orange correspond to the targeted structures (1–4) in the phytochemical workflow. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

Fig. 4 in Streamlined targeting of Amaryllidaceae alkaloids from the bulbs of Crinum scillifolium using spectrometric and taxonomically-informed scoring metabolite annotations

Fig. 4. Comparison of the experimental ECD spectrum of 1 and calculated ECD spectrum for the (3S, 4aS, 10bS, 11S) enantiomer.

Fig. 1 in Alkaloids with cholinesterase inhibitory activities from the bulbs of Crinum × amabile Donn ex Ker Gawl

Fig. 1. Chemical structures of compounds 1–30.

Fig. 4 in Alkaloids with cholinesterase inhibitory activities from the bulbs of Crinum × amabile Donn ex Ker Gawl

Fig. 4. Experimental ECD spectra of compounds 1–7, 10 and 11.

Fig. 3 in Alkaloids with cholinesterase inhibitory activities from the bulbs of Crinum × amabile Donn ex Ker Gawl

Fig. 3. Key NOESY correlations of compounds 1–8, 10 and 11.

Fig. 2. Selected 1H–1H in Alkaloids with cholinesterase inhibitory activities from the bulbs of Crinum × amabile Donn ex Ker Gawl

Fig. 2. Selected 1H–1H COSY and HMBC correlations of compounds 1–8, 10 and 11.

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Fig. 1 in Gigantelline, gigantellinine and gigancrinine, cherylline- and crinine-type alkaloids isolated from Crinum jagus with anti-acetylcholinesterase activity

Fig. 1. Structures of the isolated compounds (1–9).

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Fig. 2 in Gigantelline, gigantellinine and gigancrinine, cherylline- and crinine-type alkaloids isolated from Crinum jagus with anti-acetylcholinesterase activity

Fig. 2. The key correlations observed in the HMBC and NOESY spectra of alkaloids 1–3.

Fig. 2 in Streamlined targeting of Amaryllidaceae alkaloids from the bulbs of Crinum scillifolium using spectrometric and taxonomically-informed scoring metabolite annotations

Fig. 2. Structures of compounds 1–4.

Fig. 3 in Streamlined targeting of Amaryllidaceae alkaloids from the bulbs of Crinum scillifolium using spectrometric and taxonomically-informed scoring metabolite annotations

Fig. 3. Key COSY and HMBC correlations of compounds 1–4.