Loxodin

Loxodin

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Loxodin
Category Others
Catalog number BBF-05124
CAS 29813-50-1
Molecular Weight 456.48
Molecular Formula C25H28O8

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Description

Loxodin is a depsidone isolated from Parmelia flavescentireagens Gyel.

Specification

Synonyms Neoloxodic acid; 11H-Dibenzo[b,e][1,4]dioxepin-7-carboxylic acid, 3,8-dihydroxy-11-oxo-6-pentyl-1-valeryl-, methyl ester (8CI)
IUPAC Name methyl 3,9-dihydroxy-6-oxo-7-pentanoyl-1-pentylbenzo[b][1,4]benzodioxepine-2-carboxylate
Canonical SMILES CCCCCC1=C(C(=CC2=C1OC3=CC(=CC(=C3C(=O)O2)C(=O)CCCC)O)O)C(=O)OC
InChI InChI=1S/C25H28O8/c1-4-6-8-9-15-21(24(29)31-3)18(28)13-20-23(15)32-19-12-14(26)11-16(17(27)10-7-5-2)22(19)25(30)33-20/h11-13,26,28H,4-10H2,1-3H3
InChI Key KDGYIQJGCXRCIL-UHFFFAOYSA-N

Properties

Boiling Point 653.2±55.0°C (Predicted)
Density 1.266±0.06 g/cm3 (Predicted)

Reference Reading

1. Mitochondrial genome and phylogenetic position of the sliteye shark Loxodon macrorhinus
Junjie Wang, Hao Chen, Lingling Lin, Weiming Ai, Xiao Chen Mitochondrial DNA A DNA Mapp Seq Anal. 2016 Nov;27(6):4288-4289. doi: 10.3109/19401736.2015.1082099. Epub 2015 Sep 24.
The sliteye shark Loxodon macrorhinus is the only member of the genus Loxodon in the family Carcharhinidae. In this study, we first present the complete mitochondrial genome of L. macrorhinus and determine its phylogenetic position within Carcharhinidae based on relative mitogenomes. The mitochondrial genome was 16 702 bp in length with the typical gene order in vertebrates. The overall base composition of the H-strand was 31.7% A, 25.8% C, 13.1% G, and 29.4% T. Two start codons (ATG and GTG) and three stop codons (TAG, AGG, and TAA/T) were found in the protein-coding genes. The tRNA genes ranged from 67 bp to 75 bp. Loxodon macrorhinus was placed as sister to the genus Scoliodon in the Bayesian tree.
2. The use of singlebeam echo-sounder depth data to produce demersal fish distribution models that are comparable to models produced using multibeam echo-sounder depth
Marcela Montserrat Landero Figueroa, Miles J G Parsons, Benjamin J Saunders, Ben Radford, Chandra Salgado-Kent, Iain M Parnum Ecol Evol. 2021 Dec 9;11(24):17873-17884. doi: 10.1002/ece3.8351. eCollection 2021 Dec.
Seafloor characteristics can help in the prediction of fish distribution, which is required for fisheries and conservation management. Despite this, only 5%-10% of the world's seafloor has been mapped at high resolution, as it is a time-consuming and expensive process. Multibeam echo-sounders (MBES) can produce high-resolution bathymetry and a broad swath coverage of the seafloor, but require greater financial and technical resources for operation and data analysis than singlebeam echo-sounders (SBES). In contrast, SBES provide comparatively limited spatial coverage, as only a single measurement is made from directly under the vessel. Thus, producing a continuous map requires interpolation to fill gaps between transects. This study assesses the performance of demersal fish species distribution models by comparing those derived from interpolated SBES data with full-coverage MBES distribution models. A Random Forest classifier was used to model the distribution of Abalistes stellatus, Gymnocranius grandoculis, Lagocephalus sceleratus, Loxodon macrorhinus, Pristipomoides multidens, and Pristipomoides typus, with depth and depth derivatives (slope, aspect, standard deviation of depth, terrain ruggedness index, mean curvature, and topographic position index) as explanatory variables. The results indicated that distribution models for A. stellatus, G. grandoculis, L. sceleratus, and L. macrorhinus performed poorly for MBES and SBES data with area under the receiver operator curves (AUC) below 0.7. Consequently, the distribution of these species could not be predicted by seafloor characteristics produced from either echo-sounder type. Distribution models for P. multidens and P. typus performed well for MBES and the SBES data with an AUC above 0.8. Depth was the most important variable explaining the distribution of P. multidens and P. typus in both MBES and SBES models. While further research is needed, this study shows that in resource-limited scenarios, SBES can produce comparable results to MBES for use in demersal fish management and conservation.
3. Catch composition and life history characteristics of sharks and rays (Elasmobranchii) landed in the Andaman and Nicobar Islands, India
Zoya Tyabji, Tanmay Wagh, Vardhan Patankar, Rima W Jabado, Dipani Sutaria PLoS One. 2020 Oct 29;15(10):e0231069. doi: 10.1371/journal.pone.0231069. eCollection 2020.
Detailed information on shark and ray fisheries in the Andaman and Nicobar Islands, India are limited, including information on the diversity and biological characteristics of these species. We carried out fish landing surveys in South Andamans from January 2017 to May 2018, a comprehensive and cost-effective way to fill this data gap. We sampled 5,742 individuals representing 57 shark and ray species landed from six types of fishing gears. Of the 36 species of sharks and 21 species of rays landed, six species of sharks (Loxodon macrorhinus, Carcharhinus amblyrhynchos, Sphyrna lewini, C. albimarginatus, C. brevipinna, and Paragaleus randalli) comprised 83.35% of shark landings, while three species of rays (Pateobatis jenkinsii, Himantura leoparda and H. tutul) comprised 48.82% of ray landings, suggesting a species dominance in the catch or fishing region. We provide insights into the biology of species with extensions in maximum size for seven shark species. Additionally, we document an increase in the known ray diversity for the islands and for India with three previously unreported ray species. We found that amongst sharks, mature individuals of small-bodied species (63.48% males of total landings of species less than 1.5 m total length when mature) and immature individuals of larger species (84.79% males of total landings of species larger than 1.5 m total length when mature) were mostly landed; whereas for rays, mature individuals were predominantly landed (80.71% males of total landings) likely reflecting differences in habitat preferences along life-history stages across species and fishing gear. The largest size range in sharks was recorded in landings from pelagic longlines and gillnets. Further, the study emphasizes the overlap between critical habitats and fishing grounds, where immature sharks and gravid females were landed in large quantities which might be unsustainable in the long-term. Landings were female-biased in C. amblyrhynchos, S. lewini and P. jenkinsii, and male-biased in L. macrorhinus and H. leoparda, indicating either spatio-temporal or gear-specific sexual segregation in these species. Understanding seasonal and biological variability in the shark and ray landings over a longer study period across different fisheries will inform future conservation and fishery management measures for these species in the Andaman and Nicobar Islands.

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