13
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      RNA-seq analysis of hepatic gene expression of common Pekin, Muscovy, mule and hinny ducks fed ad libitum or overfed

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Duck species are known to have different susceptibility to fatty liver production in response to overfeeding. In order to better describe mechanisms involved in the development of hepatic steatosis and differences between species, transcriptome analyses were conducted on RNAs extracted from the livers of Pekin and Muscovy duck species and of their reciprocal hybrids, Mule and Hinny ducks fed ad libitum or overfed to identify differentially expressed genes and associated functions.

          Results

          After extraction from the liver of ducks from the four genetic types, RNAs were sequenced and sequencing data were analyzed. Hierarchic clustering and principal component analyses of genes expression levels indicated that differences between individuals lie primarily in feeding effect, differences between genetic types being less important. However, Muscovy ducks fed ad libitum and overfed were clustered together. Interestingly, Hinny and Mule hybrid ducks could not be differentiated from each other, according to feeding. Many genes with expression differences between overfed and ad libitum fed ducks were identified in each genetic type. Functional annotation analyses of these differentially expressed genes highlighted some expected functions (carbohydrate and lipid metabolisms) but also some unexpected ones (cell proliferation and immunity).

          Conclusions

          These analyses evidence differences in response to overfeeding between different genetic types and help to better characterize functions involved in hepatic steatosis in ducks.

          Electronic supplementary material

          The online version of this article (10.1186/s12864-018-5415-1) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references30

          • Record: found
          • Abstract: found
          • Article: not found

          A new method to measure the semantic similarity of GO terms.

          Although controlled biochemical or biological vocabularies, such as Gene Ontology (GO) (http://www.geneontology.org), address the need for consistent descriptions of genes in different data sources, there is still no effective method to determine the functional similarities of genes based on gene annotation information from heterogeneous data sources. To address this critical need, we proposed a novel method to encode a GO term's semantics (biological meanings) into a numeric value by aggregating the semantic contributions of their ancestor terms (including this specific term) in the GO graph and, in turn, designed an algorithm to measure the semantic similarity of GO terms. Based on the semantic similarities of GO terms used for gene annotation, we designed a new algorithm to measure the functional similarity of genes. The results of using our algorithm to measure the functional similarities of genes in pathways retrieved from the saccharomyces genome database (SGD), and the outcomes of clustering these genes based on the similarity values obtained by our algorithm are shown to be consistent with human perspectives. Furthermore, we developed a set of online tools for gene similarity measurement and knowledge discovery. The online tools are available at: http://bioinformatics.clemson.edu/G-SESAME. http://bioinformatics.clemson.edu/Publication/Supplement/gsp.htm.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Hepatic steatosis: a role for de novo lipogenesis and the transcription factor SREBP-1c.

            Steatosis is an accumulation of triglycerides in the liver. Although an excessive availability of plasma fatty acids is an important determinant of steatosis, lipid synthesis from glucose (lipogenesis) is now also considered as an important contributing factor. Lipogenesis is an insulin- and glucose-dependent process that is under the control of specific transcription factors, sterol regulatory element binding protein 1c (SREBP-1c), activated by insulin and carbohydrate response element binding protein (ChREBP) activated by glucose. Insulin induces the maturation of SREBP-1c by a proteolytic mechanism initiated in the endoplasmic reticulum (ER). SREBP-1c in turn activates glycolytic gene expression, allowing glucose metabolism, and lipogenic genes in conjunction with ChREBP. Lipogenesis activation in the liver of obese markedly insulin-resistant steatotic rodents is then paradoxical. Recent data suggest that the activation of SREBP-1c and thus of lipogenesis is secondary in the steatotic liver to an ER stress. The ER stress activates the cleavage of SREBP-1c independent of insulin, thus explaining the paradoxical stimulation of lipogenesis in an insulin-resistant liver. Inhibition of the ER stress in obese rodents decreases SREBP-1c activation and lipogenesis and improves markedly hepatic steatosis and insulin sensitivity. ER is thus a new partner in steatosis and metabolic syndrome which is worth considering as a potential therapeutic target. © 2010 Blackwell Publishing Ltd.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The natural history of nonalcoholic fatty liver: a follow-up study.

              Nonalcohol-induced fatty liver is widely believed to be a benign condition with little or no risk of disease progression. There have been occasional reports of progression to cirrhosis but none in the absence of preexisting fibrosis on the index biopsy specimen even when co-existing hepatitis was present (steatohepatitis). From our histological database (1978 to 1985), we identified 161 patients with fatty liver seen at our institution and traced the case notes of 156. One hundred five patients were initially excluded as having an alcohol-induced cause, and the remaining 51 either were seen in the clinic (37) or had died, in which cases copies of their death certificates were obtained (14). A further 7 patients were excluded after clinic attendance gave evidence of alcohol excess and another 4 after review of their initial biopsy showed the presence of fibrosis or steatohepatitis. The apparent cause of the steatosis in the 40 included patients with strictly nonalcohol-induced pure fatty liver was obesity in 12, diabetes in 4 (1 obese patient), and cachexia associated with extrahepatic malignancy in 6. Four of the remaining 19 had serological evidence of an autoimmune disorder, but none of these had any clinical or histological features of autoimmune liver disease. Nine patients had evidence of hyperlipidemia, 3 of whom were also obese. At a median follow-up of 11 years (7 to 16), 12 of 26 living patients had abnormal results of liver blood tests and had repeat liver biopsies performed. None had progressed to steatohepatitis or cirrhosis; 1 obese patient had developed mild fibrosis 9.8 years after her index biopsy.(ABSTRACT TRUNCATED AT 250 WORDS)
                Bookmark

                Author and article information

                Contributors
                frederic.herault@inra.fr
                magalie.houee@agrocampus-ouest.fr
                elisabeth.baeza-campone@inra.fr
                olivier.bouchez@inra.fr
                diane.esquerre@inra.fr
                christophe.klopp@inra.fr
                christian.diot@inra.fr
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                7 January 2019
                7 January 2019
                2019
                : 20
                : 13
                Affiliations
                [1 ]ISNI 0000 0001 2187 6317, GRID grid.424765.6, PEGASE, INRA, , Agrocampus Ouest, ; 16 Le Clos, 35590 Saint-Gilles, France
                [2 ]ISNI 0000 0001 2187 6317, GRID grid.424765.6, Mathématiques Appliquées, , Agrocampus Ouest, ; 35042 Rennes, France
                [3 ]ISNI 0000 0001 2182 6141, GRID grid.12366.30, BOA, INRA, , Université de Tours, ; 37380 Nouzilly, France
                [4 ]ISNI 0000 0001 2169 1988, GRID grid.414548.8, GENPhySE, , INRA, ENVT, ENSAT, ; 31326 Castanet-Tolosan, France
                [5 ]ISNI 0000 0001 2169 1988, GRID grid.414548.8, GeT PlaGE, , INRA, ; US 1426, GenoToul, 31326 Castanet-Tolosan, France
                [6 ]ISNI 0000 0001 2169 1988, GRID grid.414548.8, Bioinformatics facility, , INRA, ; Genotoul, 31326 Castanet-Tolosan, France
                [7 ]ISNI 0000 0001 2169 1988, GRID grid.414548.8, SIGENAE, , INRA, ; 31326 Castanet-Tolosan, France
                Author information
                http://orcid.org/0000-0001-9525-6401
                Article
                5415
                10.1186/s12864-018-5415-1
                6323773
                30616512
                b935176c-8255-4d10-8d60-2eb0cf60a597
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 10 September 2018
                : 26 December 2018
                Funding
                Funded by: INRA AIP Bioressources
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Genetics
                rna sequencing,differentially expressed genes,overfeeding,hepatic steatosis,ducks
                Genetics
                rna sequencing, differentially expressed genes, overfeeding, hepatic steatosis, ducks

                Comments

                Comment on this article