scholarly journals Antiparasitic potential of Nephrolepis biserrata methanol extract against the parasitic leech Zeylanicobdella arugamensis (Hirudinea) and LC-QTOF analysis

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Muhammad Dawood Shah ◽  
Balu Alagar Venmathi Maran ◽  
Fatin Khairah Haron ◽  
Julian Ransangan ◽  
Fui Fui Ching ◽  
...  

AbstractMarine leech Zeylanicobdella arugamensis (Piscicolidae), an economically important parasite is infesting predominantly cultured groupers, hybrid groupers and other fish in Southeast Asian countries. In this study, we tested the anti-parasitic potential of a medicinal plant Nephrolepis biserrata found in Sabah, East Malaysia against Z. arugamensis. Various concentrations of methanol extracts of the plant were tested experimentally against Z. arugamensis and disinfestation of the leech from its primary host hybrid groupers. The composition of methanol extract of N. biserrata was determined through LC-QTOF analysis. The significant anti-parasitic activity of 100% mortality of leeches was observed with the exposure of N. biserrata extracts. The average time to kill the leeches at concentrations of 25, 50 and 100 mg/ml was 25.11 ± 3.26, 11.91 ± 0.99, and 4.88 ± 0.50 min., respectively. Further, at various low concentrations of N. biserrata 2.5, 5 and 10 mg/ml, hybrid groupers were disinfested in an average time of 108.33 ± 12.65, 65.83 ± 9.70 and 29.16 ± 5.85 min., respectively. The tandem mass spectrometry data from LC-QTOF indicated some hits on useful bioactive compounds such as terpenoids (ivalin, isovelleral, brassinolide, and eschscholtzxanthin), flavonoids (alnustin, kaempferol 7,4′-dimethyl ether, and pachypodol), phenolics (piscidic acid, chlorogenic acid, and ankorine), and aromatic (3-hydroxycoumarin). Thus N. biserrata can act as a potential biocontrol agent.

Author(s):  
Marcela Aguilera Flores ◽  
Iulia M Lazar

Abstract Summary The ‘Unknown Mutation Analysis (XMAn)’ database is a compilation of Homo sapiens mutated peptides in FASTA format, that was constructed for facilitating the identification of protein sequence alterations by tandem mass spectrometry detection. The database comprises 2 539 031 non-redundant mutated entries from 17 599 proteins, of which 2 377 103 are missense and 161 928 are nonsense mutations. It can be used in conjunction with search engines that seek the identification of peptide amino acid sequences by matching experimental tandem mass spectrometry data to theoretical sequences from a database. Availability and implementation XMAn v2 can be accessed from github.com/lazarlab/XMAnv2. Supplementary information Supplementary data are available at Bioinformatics online.


PROTEOMICS ◽  
2007 ◽  
Vol 7 (18) ◽  
pp. 3245-3258 ◽  
Author(s):  
Kristian Flikka ◽  
Jeroen Meukens ◽  
Kenny Helsens ◽  
Joël Vandekerckhove ◽  
Ingvar Eidhammer ◽  
...  

2011 ◽  
Vol 83 (17) ◽  
pp. 6911-6911
Author(s):  
Florian Rasche ◽  
Aleš Svatoš ◽  
Ravi Kumar Maddula ◽  
Christoph Böttcher ◽  
Sebastian Böcker

2008 ◽  
Vol 7 (12) ◽  
pp. 2386-2398 ◽  
Author(s):  
Robert J. Chalkley ◽  
Peter R. Baker ◽  
Katalin F. Medzihradszky ◽  
Aenoch J. Lynn ◽  
A. L. Burlingame

PROTEOMICS ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 2000107 ◽  
Author(s):  
Duarte Gouveia ◽  
Lucia Grenga ◽  
Jean‐Charles Gaillard ◽  
Fabrice Gallais ◽  
Laurent Bellanger ◽  
...  

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