66
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The goose genome sequence leads to insights into the evolution of waterfowl and susceptibility to fatty liver

      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

          Geese were domesticated over 6,000 years ago, making them one of the first domesticated poultry. Geese are capable of rapid growth, disease resistance, and high liver lipid storage capacity, and can be easily fed coarse fodder. Here, we sequence and analyze the whole-genome sequence of an economically important goose breed in China and compare it with that of terrestrial bird species.

          Results

          A draft sequence of the whole-goose genome was obtained by shotgun sequencing, and 16,150 protein-coding genes were predicted. Comparative genomics indicate that significant differences occur between the goose genome and that of other terrestrial bird species, particularly regarding major histocompatibility complex, Myxovirus resistance, Retinoic acid-inducible gene I, and other genes related to disease resistance in geese. In addition, analysis of transcriptome data further reveals a potential molecular mechanism involved in the susceptibility of geese to fatty liver disease and its associated symptoms, including high levels of unsaturated fatty acids and low levels of cholesterol. The results of this study show that deletion of the goose lep gene might be the result of positive selection, thus allowing the liver to adopt energy storage mechanisms for long-distance migration.

          Conclusions

          This is the first report describing the complete goose genome sequence and contributes to genomic resources available for studying aquatic birds. The findings in this study are useful not only for genetic breeding programs, but also for studying lipid metabolism disorders.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13059-015-0652-y) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references43

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

          MRBAYES: Bayesian inference of phylogenetic trees.

          The program MRBAYES performs Bayesian inference of phylogeny using a variant of Markov chain Monte Carlo. MRBAYES, including the source code, documentation, sample data files, and an executable, is available at http://brahms.biology.rochester.edu/software.html.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            RIG-I-mediated antiviral responses to single-stranded RNA bearing 5'-phosphates.

            Double-stranded RNA (dsRNA) produced during viral replication is believed to be the critical trigger for activation of antiviral immunity mediated by the RNA helicase enzymes retinoic acid-inducible gene I (RIG-I) and melanoma differentiation-associated gene 5 (MDA5). We showed that influenza A virus infection does not generate dsRNA and that RIG-I is activated by viral genomic single-stranded RNA (ssRNA) bearing 5'-phosphates. This is blocked by the influenza protein nonstructured protein 1 (NS1), which is found in a complex with RIG-I in infected cells. These results identify RIG-I as a ssRNA sensor and potential target of viral immune evasion and suggest that its ability to sense 5'-phosphorylated RNA evolved in the innate immune system as a means of discriminating between self and nonself.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Specific effects of microRNAs on the plant transcriptome.

              Most plant microRNAs (miRNAs) have perfect or near-perfect complementarity with their targets. This is consistent with their primary mode of action being cleavage of target mRNAs, similar to that induced by perfectly complementary small interfering RNAs (siRNAs). However, there are natural targets with up to five mismatches. Furthermore, artificial siRNAs can have substantial effects on so-called off-targets, to which they have only limited complementarity. By analyzing the transcriptome of plants overexpressing different miRNAs, we have deduced a set of empirical parameters for target recognition. Compared to artificial siRNAs, authentic plant miRNAs appear to have much higher specificity, which may reflect their coevolution with the remainder of the transcriptome. We also demonstrate that miR172, previously thought to act primarily by translational repression, can efficiently guide mRNA cleavage, although the effects on steady-state levels of target transcripts are obscured by strong feedback regulation. This finding unifies the view of plant miRNA action.
                Bookmark

                Author and article information

                Contributors
                Lulizhibox@163.com
                chenyan@genomics.cn
                wangzhuo@genomics.cn
                lixiaofeng@genomics.cn
                317992345@qq.com
                speed-boat003@sohu.com
                shenjunda66@sina.com
                tyong@mail.zaas.ac.cn
                wangdeqian2002@sohu.com
                ligq@mail.zaas.ac.cn
                kuaileqianjin@163.com
                582689714@qq.com
                fangdongming@genomics.cn
                yulili@genomics.cn
                sunyudong@genomics.cn
                mayong@genomics.cn
                lijinjun@mail.zaas.ac.cn
                wangj@genomics.cn
                Journal
                Genome Biol
                Genome Biology
                BioMed Central (London )
                1465-6906
                1465-6914
                6 May 2015
                6 May 2015
                2015
                : 16
                : 1
                : 89
                Affiliations
                [ ]Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
                [ ]BGI-Shenzhen, Shenzhen, 518083 China
                [ ]Institute of Zhedong White Goose, Xianshan, China
                [ ]BGI-Tech, BGI-Shenzhen, Shenzhen, 518083 China
                [ ]Department of Biology, University of Copenhagen, Copenhagen, Denmark
                [ ]King Abdulaziz University, Jeddah, Saudi Arabia
                Article
                652
                10.1186/s13059-015-0652-y
                4419397
                25943208
                0b1480a3-e1da-491e-a570-8959d081087b
                © Lu et al.; licensee BioMed Central. 2015

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
                : 4 September 2014
                : 13 April 2015
                Categories
                Research
                Custom metadata
                © The Author(s) 2015

                Genetics
                Genetics

                Comments

                Comment on this article