Literature DB >> 26463136

Population-specific renal proteomes of marine and freshwater three-spined sticklebacks.

Dietmar Kültz1, Johnathon Li2, Darlene Paguio2, Tuan Pham2, Marius Eidsaa3, Eivind Almaas3.   

Abstract

Quantitative proteomics was used to reveal biochemical differences in kidneys of marine and freshwater three-spined sticklebacks. More than 1500 unambiguous proteins were identified, 106 of which are robustly co-translationally modified. Amino-terminal acetylation sites for 94 and proline hydroxylation sites for 12 proteins, including 4 protein disulfide isomerases having the consensus motif APWCGHCK, were determined. More than 1500 proteins were quantified by LC-MS/MS yielding 120 proteins with consistent population-specific abundance differences. Twenty-five of these were selected for validation by data-independent acquisition (DIA) and spectral library based MS2 quantitation. A dense biochemical network was revealed, which promotes the synthesis of the organic osmolytes betaine, sorbitol, trimethylamine oxid (TMAO), and urea. It contains 33 of 49 proteins that are elevated in marine compared to freshwater sticklebacks, including the most highly elevated proteins (dimethylaniline monooxygenase, alanine-glyoxylate aminotransferase, glycine N-methyltransferase). Freshwater stickleback kidneys contain elevated levels of proteolytic, cytoskeletal, extracellular matrix, and calcium signaling proteins. Proteins that are most elevated in freshwater sticklebacks are ES1 protein homolog, apoptosis-associated speck-like protein containing a CARD and caspase 1. Protein-abundance network analysis demonstrates significantly higher levels of synchronized abundance control in marine sticklebacks. The significance of these findings for biochemical diversification of renal function in marine and FW sticklebacks is discussed.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Data-independent acquisition; Euryhaline fish; Label-free quantitative proteomics; Network analysis; Osmoregulation; Population proteomics

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Substances:

Year:  2015        PMID: 26463136     DOI: 10.1016/j.jprot.2015.10.002

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  4 in total

1.  A composite network of conserved and tissue specific gene interactions reveals possible genetic interactions in glioma.

Authors:  André Voigt; Katja Nowick; Eivind Almaas
Journal:  PLoS Comput Biol       Date:  2017-09-28       Impact factor: 4.475

2.  Comparative proteomics analysis of teleost intermuscular bones and ribs provides insight into their development.

Authors:  Chun-Hong Nie; Shi-Ming Wan; Tea Tomljanovic; Tomislav Treer; Chung-Der Hsiao; Wei-Min Wang; Ze-Xia Gao
Journal:  BMC Genomics       Date:  2017-02-10       Impact factor: 3.969

3.  Development of a Gill Assay Library for Ecological Proteomics of Threespine Sticklebacks (Gasterosteus aculeatus).

Authors:  Johnathon Li; Bryn Levitan; Silvia Gomez-Jimenez; Dietmar Kültz
Journal:  Mol Cell Proteomics       Date:  2018-08-09       Impact factor: 5.911

4.  Comparative analysis of weighted gene co-expression networks in human and mouse.

Authors:  Marius Eidsaa; Lisa Stubbs; Eivind Almaas
Journal:  PLoS One       Date:  2017-11-21       Impact factor: 3.240

  4 in total

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