Literature DB >> 21295070

Host defense peptides in skin secretions of the Oregon spotted frog Rana pretiosa: implications for species resistance to chytridiomycosis.

J Michael Conlon1, Milena Mechkarska, Eman Ahmed, Laurent Coquet, Thierry Jouenne, Jérôme Leprince, Hubert Vaudry, Marc P Hayes, Gretchen Padgett-Flohr.   

Abstract

Population declines due to chytridiomycosis among frogs belonging to the Amerana (Rana boylii) species group from western North America have been particularly severe. Norepinephrine-stimulated skin secretions from the Oregon spotted frog Rana pretiosa Baird and Girard, 1853 were collected from individuals that had been previously infected with the causative agent Batrachochytrium dendrobatidis but had proved resistant to developing chytridiomycosis. These secretions contained a more diverse array of antimicrobial peptides than found in other species from the Amerana group and 14 peptides were isolated in pure form. Determination of their primary structures identified the peptides as esculentin-2PRa and -2PRb; ranatuerin-2PRa, -2PRb, -2PRc, -2PRd, and -2PRe; brevinin-1PRa, -1PRb, -1PRc, and -1PRd; and temporin-PRa, -PRb, and -PRc. The strongly cationic ranatuerin-2PRd and the esculentin-2 peptides, which have not been identified in the secretions of other Amerana species except for the closely related R. luteiventris, showed the highest growth inhibitory potency against microorganisms. The strongly hydrophobic brevinin-1PRd was the most cytotoxic to erythrocytes. Although no clear correlation exists between production of dermal antimicrobial peptides by a species and its resistance to fatal chytridiomycosis, the diversity of these peptides in R. pretiosa may be pivotal in defending the species against environmental pathogens such as B. dendrobatidis.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21295070     DOI: 10.1016/j.dci.2011.01.017

Source DB:  PubMed          Journal:  Dev Comp Immunol        ISSN: 0145-305X            Impact factor:   3.636


  8 in total

1.  Parallel peptidome and transcriptome analyses of amphibian skin secretions using archived frozen acid-solvated samples.

Authors:  Bing Bai; Yingqi Zhang; Hui Wang; Mei Zhou; Yang Yu; Sijia Ding; Tianbao Chen; Lei Wang; Chris Shaw
Journal:  Mol Biotechnol       Date:  2013-06       Impact factor: 2.695

2.  Evaluation of the skin peptide defenses of the Oregon spotted frog Rana pretiosa against infection by the chytrid fungus Batrachochytrium dendrobatidis.

Authors:  J Michael Conlon; Laura K Reinert; Milena Mechkarska; Manju Prajeep; Mohammed A Meetani; Laurent Coquet; Thierry Jouenne; Marc P Hayes; Gretchen Padgett-Flohr; Louise A Rollins-Smith
Journal:  J Chem Ecol       Date:  2013-05-08       Impact factor: 2.626

3.  Purification, molecular cloning, and antimicrobial activity of peptides from the skin secretion of the black-spotted frog, Rana nigromaculata.

Authors:  Ang Li; Yong Zhang; Che Wang; Geng Wu; Zhenchun Wang
Journal:  World J Microbiol Biotechnol       Date:  2013-04-30       Impact factor: 3.312

4.  Characterization of selective antibacterial peptides by polarity index.

Authors:  C Polanco; J L Samaniego; T Buhse; F G Mosqueira; A Negron-Mendoza; S Ramos-Bernal; J A Castanon-Gonzalez
Journal:  Int J Pept       Date:  2012-04-01

Review 5.  Antimicrobial peptides in 2014.

Authors:  Guangshun Wang; Biswajit Mishra; Kyle Lau; Tamara Lushnikova; Radha Golla; Xiuqing Wang
Journal:  Pharmaceuticals (Basel)       Date:  2015-03-23

6.  Community Structure and Function of Amphibian Skin Microbes: An Experiment with Bullfrogs Exposed to a Chytrid Fungus.

Authors:  Jenifer B Walke; Matthew H Becker; Stephen C Loftus; Leanna L House; Thais L Teotonio; Kevin P C Minbiole; Lisa K Belden
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

7.  Effects of visible implanted elastomer marking on physiological traits of frogs.

Authors:  Rachael E Antwis; Rebecca Purcell; Susan L Walker; Andrea L Fidgett; Richard F Preziosi
Journal:  Conserv Physiol       Date:  2014-10-03       Impact factor: 3.079

8.  Machine learning-guided discovery and design of non-hemolytic peptides.

Authors:  Fabien Plisson; Obed Ramírez-Sánchez; Cristina Martínez-Hernández
Journal:  Sci Rep       Date:  2020-10-06       Impact factor: 4.379

  8 in total

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