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      Transcriptome profile of liver at different physiological stages reveals potential mode for lipid metabolism in laying hens

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          Abstract

          Background

          Liver is an important metabolic organ that plays a critical role in lipid synthesis, degradation, and transport; however, the molecular regulatory mechanisms of lipid metabolism remain unclear in chicken. In this study, RNA-Seq technology was used to investigate differences in expression profiles of hepatic lipid metabolism-related genes and associated pathways between juvenile and laying hens. The study aimed to broaden the understanding of liver lipid metabolism in chicken, and thereby to help improve laying performance in the poultry industry.

          Results

          RNA-Seq analysis was carried out on total RNA harvested from the liver of juvenile ( n = 3) and laying ( n = 3) hens. Compared with juvenile hens, 2567 differentially expressed genes (1082 up-regulated and 1485 down-regulated) with P ≤ 0.05 were obtained in laying hens, and 960 of these genes were significantly differentially expressed (SDE) at a false discovery rate (FDR) of ≤0.05 and fold-change ≥2 or ≤0.5. In addition, most of the 198 SDE novel genes (91 up-regulated and 107 down-regulated) were discovered highly expressed, and 332 SDE isoforms were identified. Gene ontology (GO) enrichment and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis showed that the SDE genes were most enrichment in steroid biosynthesis, PPAR signaling pathway, biosynthesis of unsaturated fatty acids, glycerophospholipid metabolism, three amino acid pathways, and pyruvate metabolism ( P ≤ 0.05). The top significantly enriched GO terms among the SDE genes included lipid biosynthesis, cholesterol and sterol metabolic, and oxidation reduction, indicating that principal lipogenesis occurred in the liver of laying hens.

          Conclusions

          This study suggests that the majority of changes at the transcriptome level in laying hen liver were closely related to fat metabolism. Some of the SDE uncharacterized novel genes and alternative splicing isoforms that were detected might also take part in lipid metabolism, although this needs further investigation. This study provides valuable information about the expression profiles of mRNAs from chicken liver, and in-depth functional investigations of these mRNAs could provide new insights into the molecular networks of lipid metabolism in chicken liver.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12864-015-1943-0) contains supplementary material, which is available to authorized users.

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          A language and environment for statistical computing

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            ASTALAVISTA: dynamic and flexible analysis of alternative splicing events in custom gene datasets

            In the process of establishing more and more complete annotations of eukaryotic genomes, a constantly growing number of alternative splicing (AS) events has been reported over the last decade. Consequently, the increasing transcript coverage also revealed the real complexity of some variations in the exon–intron structure between transcript variants and the need for computational tools to address ‘complex’ AS events. ASTALAVISTA (alternative splicing transcriptional landscape visualization tool) employs an intuitive and complete notation system to univocally identify such events. The method extracts AS events dynamically from custom gene annotations, classifies them into groups of common types and visualizes a comprehensive picture of the resulting AS landscape. Thus, ASTALAVISTA can characterize AS for whole transcriptome data from reference annotations (GENCODE, REFSEQ, ENSEMBL) as well as for genes selected by the user according to common functional/structural attributes of interest: http://genome.imim.es/astalavista
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              Differential ligand activation of estrogen receptors ERalpha and ERbeta at AP1 sites.

              The transactivation properties of the two estrogen receptors, ERalpha and ERbeta, were examined with different ligands in the context of an estrogen response element and an AP1 element. ERalpha and ERbeta were shown to signal in opposite ways when complexed with the natural hormone estradiol from an AP1 site: with ERalpha, 17beta-estradiol activated transcription, whereas with ERbeta, 17beta-estradiol inhibited transcription. Moreover, the antiestrogens tamoxifen, raloxifene, and Imperial Chemical Industries 164384 were potent transcriptional activators with ERbeta at an AP1 site. Thus, the two ERs signal in different ways depending on ligand and response element. This suggests that ERalpha and ERbeta may play different roles in gene regulation.
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                Author and article information

                Contributors
                lihong19871202@163.com
                15286833615@163.com
                xclmu521@163.com
                wdd13938406174@163.com
                862758007@qq.com
                15138656629@163.com
                ydtian111@163.com
                ybwang2008@126.com
                2397981088@qq.com
                xtkang2001@263.net
                xjliu2008@hotmail.com
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                9 October 2015
                9 October 2015
                2015
                : 16
                : 763
                Affiliations
                [ ]College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002 China
                [ ]Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002 China
                [ ]International Joint Research Laboratory for Poultry Breeding of Henan, Henan Agricultural University, Zhengzhou, 450002 China
                [ ]Institute of Animal Husbandry and Veterinary Medicine, Henan Academy of Agricultural Sciences, Zhengzhou, 450002 China
                Article
                1943
                10.1186/s12864-015-1943-0
                4600267
                26452545
                47758532-a512-409f-aae7-0bd7dd011f6c
                © Li et al. 2015

                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
                : 27 May 2015
                : 21 September 2015
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2015

                Genetics
                rna-seq,laying hens,liver,fat metabolism,function analysis
                Genetics
                rna-seq, laying hens, liver, fat metabolism, function analysis

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