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140 results for “secondary metabolites”

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zenodo28/100

Figure 3 from: Li J, Li J, Jiang N (2024) Morphology and phylogeny of Cytospora (Cytosporaceae, Diaporthales) species associated with plant cankers in Tibet, China. In: Wijayawardene N, Karunarathna S, Fan X-L, Li Q-R (Eds) Taxonomy and secondary metabolites of wood-associated fungi. MycoKeys 104: 51-70. https://doi.org/10.3897/mycokeys.104.113567

Figure 3 Cytospora populina (CAF800085) A, B canker disease symptom C ascostromata D transverse section through an ascostroma E asci and Ascospores F ascospores. Scale bars: 2000 µm (B); 500 µm (C); 200 µm (D); = 10 µm (E–F).

opencc-by-4.0Apr 2024View details →
zenodo28/100

Figure 6 from: Phookamsak R, Hongsanan S, Bhat DJ, Wanasinghe DN, Promputtha I, Suwannarach N, Kumla J, Xie N, Dawoud TM, Mortimer PE, Xu J, Lumyong S (2024) Exploring ascomycete diversity in Yunnan II: Introducing three novel species in the suborder Massarineae (Dothideomycetes, Pleosporales) from fern and grasses. In: Wijayawardene N, Karunarathna S, Fan X-L, Li Q-R (Eds) Taxonomy and secondary metabolites of wood-associated fungi. MycoKeys 104: 9-50. https://doi.org/10.3897/mycokeys.104.112149

Figure 6 Periconia kunmingensis (KUN-HKAS102239, holotype) A, B the appearance of fungal colonies on host substrate C–E conidiophores F, G closed-up conidiophores with spherical heads H, I conidiogenous cells bearing conidia J conidia catenate in acropetal short chain K–P conidia. Scale bars: 500 µm (A, B); 50 µm (C–E); 20 µm (F, G); 10 µm (J); 5 µm (H, I, K–P).

opencc-by-4.0Apr 2024View details →
zenodo28/100

Figure 4 from: Zhang Q-Y, Liu H-G, Li W-Y, Zhang X, Dai Y-C, Wu F, Bian L-S (2024) Three new species of Favolaschia (Mycenaceae, Agaricales) from South China. In: Wijayawardene N, Karunarathna S, Fan X-L, Li Q-R (Eds) Taxonomy and secondary metabolites of wood-associated fungi. MycoKeys 104: 71-89. https://doi.org/10.3897/mycokeys.104.117310

Figure 4 Basidiomata and microscopic structures of Favolaschia imbricataA, B basidiomata (Dai 24702, holotype) C basidiospores D hymenium in trama E basidia and basidioles F tramal hyphae G cheilocystidia at dissepiment edge H hyphae of pileipellis. Scale bars: 5 mm (A, B); 10 µm (C–H).

opencc-by-4.0Apr 2024View details →
zenodo28/100

Figure 1 from: Isocrono D, Ravera S (2024) Typification of the name Arthopyrenia parolinii Beltr. (Ascomycota, Dothideomycetes, Pleosporales, Arthopyreniaceae). In: Wijayawardene N, Karunarathna S, Fan X-L, Li Q-R (Eds) Taxonomy and secondary metabolites of wood-associated fungi. MycoKeys 104: 1-8. https://doi.org/10.3897/mycokeys.104.109420

Figure 1 Exsiccata of Arthopyrenia parolinii Beltramini from the lichen herbarium of A.B. Massalongo in VERA fragment of linden bark, colonized by the lichen and glued to the herbarium sheet with the name of the species and note "Herb. Beltramini" written by Massalongo in black ink, and the locality of collection, in red ink, written by Beltramini B detail of thallus and perithecia in surface view. Scale bar: 1 mm.

opencc-by-4.0Apr 2024View details →
zenodo28/100

Figure 2 from: Rupcic Z, Chepkirui C, Hernández-Restrepo M, Crous PW, Luangsa-ard JJ, Stadler M (2018) New nematicidal and antimicrobial secondary metabolites from a new species in the new genus, Pseudobambusicola thailandica. MycoKeys 33: 1-23. https://doi.org/10.3897/mycokeys.33.23341

Figure 2 Pseudobambusicola thailandica (BCC 79462) on SNA. A Colony overview B–C Pycnidia D–G Conidiogenous cells H globose to subglobose cells, thick-walled, at the base of the conidiomata I Microconidia J Macroconidia K Chlamydospores. Scale bars: 200 µm (B), 100 µm (C), 10 µm (D, H, I–K), 5 µm (E–G).

opencc-by-4.0Apr 2018View details →
zenodo28/100

Figure 1 from: Rupcic Z, Chepkirui C, Hernández-Restrepo M, Crous PW, Luangsa-ard JJ, Stadler M (2018) New nematicidal and antimicrobial secondary metabolites from a new species in the new genus, Pseudobambusicola thailandica. MycoKeys 33: 1-23. https://doi.org/10.3897/mycokeys.33.23341

Figure 1 Phylogenetic tree (RAxML) inferred from the DNA sequence data of four loci (ITS, LSU, tef1 and rpb2) of Pseudobambusicola thailandica and related species in Pleosporales (Dothideomycetes). The new taxon is indicated in bold. Taxa reported to produce deoxyphomalone are indicated by an underlined. Maximum likelihood bootstrap values ≥ 70 % and Bayesian posterior probabilities ≥ 0.95 are shown at the nodes and the scale bar indicates the number of expected mutations per site. Clades with 100 BML and 1 PP are indicated by thickened lines . The tree was rooted to Lophiostoma arundinis (AFTOL-ID 1606). T = ex-type strain; ET = epitype strain.

opencc-by-4.0Apr 2018View details →
zenodo28/100

Fig. 5 in Effects of the Secondary Metabolite Producing Pseudomonas fluorescens CHA0 on Soil Protozoa and Bacteria

Fig. 5. Genetic diversity of the protozoa belonging to the Kinetoplastida. A dendrogram is constructed for each incubation time of the soil microcosms. The scale is the similarity index (S ). E. aer.: Enterobacter aerogenes.

opencc-by-4.0Dec 2012View details →
zenodo28/100

Figure 5 from: Syahputra G, Gustini N, Bustanussalam B, Hapsari Y, Sari M, Ardiansyah A, Bayu A, Putra MY (2021) Molecular docking of secondary metabolites from Indonesian marine and terrestrial organisms targeting SARS-CoV-2 ACE-2, M pro, and PL pro receptors. Pharmacia 68(3): 533-560. https://doi.org/10.3897/pharmacia.68.e68432

Figure 5 Analysis of the conformation and interaction of hydrogen bonds between ligands and receptors with a distance < 5 Å. A. ACE-2-ptilidepsin; B. PLpro -ptilidepsin; C. Mpro-ptilidepsin.

opencc-by-4.0Jul 2021View details →
zenodo28/100

Figure 4 from: Syahputra G, Gustini N, Bustanussalam B, Hapsari Y, Sari M, Ardiansyah A, Bayu A, Putra MY (2021) Molecular docking of secondary metabolites from Indonesian marine and terrestrial organisms targeting SARS-CoV-2 ACE-2, M pro, and PL pro receptors. Pharmacia 68(3): 533-560. https://doi.org/10.3897/pharmacia.68.e68432

Figure 4 Analysis of the conformation and interaction of hydrogen bonds between ligands and receptors with a distance < 5 Å. A. ACE-2-dieckol; B. PLpro -dieckol; C. Mpro-dieckol.

opencc-by-4.0Jul 2021View details →
zenodo28/100

Figure 2 from: Syahputra G, Gustini N, Bustanussalam B, Hapsari Y, Sari M, Ardiansyah A, Bayu A, Putra MY (2021) Molecular docking of secondary metabolites from Indonesian marine and terrestrial organisms targeting SARS-CoV-2 ACE-2, M pro, and PL pro receptors. Pharmacia 68(3): 533-560. https://doi.org/10.3897/pharmacia.68.e68432

Figure 2 The structure of the PLpro SARS-CoV-2 receptor (PDB ID: 5TL6) along with the distribution of residues on the Ramachandran plot. The PLpro receptor structure is composed of 10 α-helix structures and 19 β-sheet structures. The PLpro receptor structure is ready to use in molecular docking simulations with 96.55% of the residue in the protein-forming region.

opencc-by-4.0Jul 2021View details →
zenodo28/100

Figure 1 from: Syahputra G, Gustini N, Bustanussalam B, Hapsari Y, Sari M, Ardiansyah A, Bayu A, Putra MY (2021) Molecular docking of secondary metabolites from Indonesian marine and terrestrial organisms targeting SARS-CoV-2 ACE-2, M pro, and PL pro receptors. Pharmacia 68(3): 533-560. https://doi.org/10.3897/pharmacia.68.e68432

Figure 1 The structure of the Mpro SARS-CoV-2 receptor (PDB ID: 6LU7) along with the distribution of residues on the Ramachandran plot. The Mpro receptor structure is composed of 10 α-helix structures and 13 β-sheet structures. The Mpro receptor structure is ready to use in molecular docking simulations with 92.15% of the residue in the protein-forming region.

opencc-by-4.0Jul 2021View details →
zenodo28/100

Figure 3 from: Syahputra G, Gustini N, Bustanussalam B, Hapsari Y, Sari M, Ardiansyah A, Bayu A, Putra MY (2021) Molecular docking of secondary metabolites from Indonesian marine and terrestrial organisms targeting SARS-CoV-2 ACE-2, M pro, and PL pro receptors. Pharmacia 68(3): 533-560. https://doi.org/10.3897/pharmacia.68.e68432

Figure 3 Structure of the ACE 2 receptor h receptor (PDB ID: 1R42) along with the distribution of residues on the Ramachandran plot. The ACE-2 receptor structure is composed of 31 α-helix structures and six β-sheet structures. The structure of the hACE-2 receptor is ready to be used in molecular docking simulations with 98.37% of the residue in the protein-forming region.

opencc-by-4.0Jul 2021View details →
dryad28/100

Soil chemistry determines whether defensive plant secondary metabolites promote or suppress herbivore growth

<p><span>Plant secondary (or specialized) metabolites mediate important interactions in both the rhizosphere and the phyllosphere. If and how such compartmentalized functions interact to determine plant-environment interactions is not well understood. Here, we investigated how the dual role of maize benzoxazinoids as leaf defenses and root siderophores shapes the interaction between maize and a major global insect pest, the fall armyworm. We find that benzoxazinoids suppress fall armyworm growth when plants are grown in soils with very low available iron but enhance growth in soils with higher available iron. Manipulation experiments confirm that benzoxazinoids suppress herbivore growth under iron-deficient conditions and in the presence of chelated iron, but enhance herbivore growth in the presence of free iron in the growth medium. This reversal of the protective effect of benzoxazinoids is not associated with major changes in plant primary metabolism. Plant defense activation is modulated by the interplay between soil iron and benzoxazinoids but does not explain fall armyworm performance. Instead, increased iron supply to the fall armyworm by benzoxazinoids in the presence of free iron enhances larval performance. This work identifies soil chemistry as a decisive factor for the impact of plant secondary metabolites on herbivore growth. It also demonstrates how the multifunctionality of plant secondary metabolites drives interactions between abiotic and biotic factors, with potential consequences for plant resistance in variable environments. </span></p>

opencc-zeroOct 2021View details →
zenodo28/100

FIG. 13. — Cladonia grayi G in Analysis of lichen secondary metabolites and morphometrics in the Cladonia chlorophaea species group (Cladoniaceae, lichenized Ascomycota) in Hungary

FIG. 13. — Cladonia grayi G.Merr. ex Sandst.: A, habit (BP[BP 52041]); B, spots of lichen secondary metabolites on chromatographic plates; C, distribution in Hungary. Abbreviations: g, grayanic acid; 4Odmg, 4-O-demethylgrayanic acid; F, fumarprotocetraric acid; Z, zeorin; N, norstictic acid. Scale bar: A, 2 mm.

opencc-zeroJun 2023View details →
zenodo28/100

FIG. 1 in Analysis of lichen secondary metabolites and morphometrics in the Cladonia chlorophaea species group (Cladoniaceae, lichenized Ascomycota) in Hungary

FIG. 1. — Indication of measurements for morphometric analysis: A, podetium of Cladonia novochlorophaea (Sipman) Brodo &amp; Ahti (BP[BP 9314]); B, podetium of C. merochlorophaea Asahina (BP[BP 32926]). Abbreviations: ang, angle between cup and stalk; CH, cup height; CW, cup width; PH, podetium height; SL, length of squamules; sor, diameter of soredium; SW, stalk width; TC, corticated part of podetium. Scale bars: 1 mm.

opencc-zeroJun 2023View details →
zenodo28/100

FIG. 14 in Analysis of lichen secondary metabolites and morphometrics in the Cladonia chlorophaea species group (Cladoniaceae, lichenized Ascomycota) in Hungary

FIG. 14. — Cladonia merochlorophaea Asahina: A, habit (BP[BP 32926]);B, spots of lichen secondary metabolites on chromatographic plates;C, distribution in Hungary. Abbreviations: m, merochlorophaeic acid; R, rangiformic acid; cg, congrayanic acid; F, fumarprotocetraric acid; Z, zeorin; N, norstictic acid. Scale bar: A, 2 mm.

opencc-zeroJun 2023View details →
zenodo28/100

Fig. 3. Key NOESY correlations for compounds 1–4 in Secondary metabolites from the underground parts of Valeriana sisymbriifolia Vahl. and their in vitro cytotoxic activities

Fig. 3. Key NOESY correlations for compounds 1–4.

opennotspecifiedApr 2023View details →
zenodo28/100

Fig. 2. 1H–1H in Secondary metabolites from the underground parts of Valeriana sisymbriifolia Vahl. and their in vitro cytotoxic activities

Fig. 2. 1H–1H–COSY and Key HMBC (arrow, C→H) correlations of 1–4.

opennotspecifiedApr 2023View details →
dryad28/100

Soil chemistry determines whether defensive plant secondary metabolites promote or suppress herbivore growth

Open the record for dataset details and reuse information.

publicOct 2021View details →
dryad28/100

Data from: The role of volatile plant secondary metabolites as pre-ingestive cues and potential toxins dictating diet selection by African elephants

Open the record for dataset details and reuse information.

publicAug 2019View details →

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Allen Brain Atlas

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Last verified 2026-04-30Open record

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Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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Last verified 2026-04-29Open record

OpenNeuro

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openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record