Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/136294
Author(s): Miller, BA
Chapwanya, A
Kilminster, T
Scanlon, T
Milton, J
Osorio, H
Oldham, C
Greeff, J
Bergfelt, DR
Campos, A
Almeida, AM
Title: The ovine hepatic mitochondrial proteome: Understanding seasonal weight loss tolerance in two distinct breeds
Publisher: Public Library of Science
Issue Date: 2019
Abstract: Seasonal weight loss (SWL) is a primary constraint for farmers in the Mediterranean and tropics. One cost-effective solution to SWL is utilizing breeds like the Damara sheep that have adapted to deal with nutritional stress. Previous studies concluded that one of the adaptation mechanisms of SWL is a specialized fatty acid metabolism. Accordingly, hepatic-mitochondrial proteomes were compared across two different breeds (24 sheep total, Merino, n = 12 and Damara, n = 12) and two different diets (restricted vs unrestricted diet, 6 per breed, per diet, 24 total). Mitochondrial-proteins were isolated and relatively quantified using Blue native PAGE / 2D-electrophoresis and then analyzed via mass spectrometry. The tool ReviGO summarized the proteomes’ gene-ontology terms. A total of 50 proteins were identified with 7 changing significantly in abundance (ANOVA p-value<0.05). Specific abundance patterns of corticosteroid and inflammatory response-associated proteins such as annexin and glutamate dehydrogenase suggests that the Damara has an unusual inflammation response when subjected to SWL in addition to its unique metabolism. All significant proteins warrant further study; Annexin in particular shows promise as a potentially useful biomarker.
DOI: 10.1371/journal.pone.0212580
URI: https://hdl.handle.net/10216/136294
Source: PLoS ONE, vol.14(2):e0212580
Related Information: info:eu-repo/grantAgreement/FCT/5876/147340/PT
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by/4.0/
Appears in Collections:I3S - Artigo em Revista Científica Internacional

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