@article{LiuChenGaoetal.2017,
  author    = {Liu, Han and Chen, Chunhai and Gao, Zexia and Min, Jiumeng and Gu, Yongming and Jian, Jianbo and Jiang, Xiewu and Cai, Huimin and Ebersberger, Ingo and Xu, Meng and Zhang, Xinhui and Chen, Jianwei and Luo, Wei and Chen, Boxiang and Chen, Junhui and Liu, Hong and Li, Jiang and Lai, Ruifang and Bai, Mingzhou and Wei, Jin and Yi, Shaokui and Wang, Huanling and Cao, Xiaojuan and Zhou, Xiaoyun and Zhao, Yuhua and Wei, Kaijian and Yang, Ruibin and Liu, Bingnan and Zhao, Shancen and Fang, Xiaodong and Schartl, Manfred and Qian, Xueqiao and Wang, Weimin},
  title     = {The draft genome of blunt snout bream (Megalobrama amblycephala) reveals the development of intermuscular bone and adaptation to herbivorous diet},
  series = {GigaScience},
  volume    = {6},
  journal   = {GigaScience},
  number    = {7},
  doi       = {10.1093/gigascience/gix039},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-170844},
  year      = {2017},
  abstract  = {The blunt snout bream Megalobrama amblycephala is the economically most important cyprinid fish species. As an herbivore, it can be grown by eco-friendly and resource-conserving aquaculture. However, the large number of intermuscular bones in the trunk musculature is adverse to fish meat processing and consumption. As a first towards optimizing this aquatic livestock, we present a 1.116-Gb draft genome of M. amblycephala, with 779.54 Mb anchored on 24 linkage groups. Integrating spatiotemporal transcriptome analyses, we show that intermuscular bone is formed in the more basal teleosts by intramembranous ossification and may be involved in muscle contractibility and coordinating cellular events. Comparative analysis revealed that olfactory receptor genes, especially of the beta type, underwent an extensive expansion in herbivorous cyprinids, whereas the gene for the umami receptor T1R1 was specifically lost in M. amblycephala. The composition of gut microflora, which contributes to the herbivorous adaptation of M. amblycephala, was found to be similar to that of other herbivores. As a valuable resource for the improvement of M. amblycephala livestock, the draft genome sequence offers new insights into the development of intermuscular bone and herbivorous adaptation.},
  language  = {en}
}
@article{LindgreenUmuLaietal.2014,
  author    = {Lindgreen, Stinus and Umu, Sinan Uğur and Lai, Alicia Sook-Wei and Eldai, Hisham and Liu, Wenting and McGimpsey, Stephanie and Wheeler, Nicole E. and Biggs, Patrick J. and Thomson, Nick R. and Barquist, Lars and Poole, Anthony M. and Gardner, Paul P.},
  title     = {Robust Identification of Noncoding RNA from Transcriptomes Requires Phylogenetically-Informed Sampling},
  series = {PLOS Computational Biology},
  volume    = {10},
  journal   = {PLOS Computational Biology},
  number    = {10},
  doi       = {10.1371/journal.pcbi.1003907},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-115259},
  pages     = {e1003907},
  year      = {2014},
  abstract  = {Noncoding RNAs are integral to a wide range of biological processes, including translation, gene regulation, host-pathogen interactions and environmental sensing. While genomics is now a mature field, our capacity to identify noncoding RNA elements in bacterial and archaeal genomes is hampered by the difficulty of de novo identification. The emergence of new technologies for characterizing transcriptome outputs, notably RNA-seq, are improving noncoding RNA identification and expression quantification. However, a major challenge is to robustly distinguish functional outputs from transcriptional noise. To establish whether annotation of existing transcriptome data has effectively captured all functional outputs, we analysed over 400 publicly available RNA-seq datasets spanning 37 different Archaea and Bacteria. Using comparative tools, we identify close to a thousand highly-expressed candidate noncoding RNAs. However, our analyses reveal that capacity to identify noncoding RNA outputs is strongly dependent on phylogenetic sampling. Surprisingly, and in stark contrast to protein-coding genes, the phylogenetic window for effective use of comparative methods is perversely narrow: aggregating public datasets only produced one phylogenetic cluster where these tools could be used to robustly separate unannotated noncoding RNAs from a null hypothesis of transcriptional noise. Our results show that for the full potential of transcriptomics data to be realized, a change in experimental design is paramount: effective transcriptomics requires phylogeny-aware sampling.},
  language  = {en}
}
@article{EstesAnsteeAriasLosteetal.2018,
  author    = {Estes, Chris and Anstee, Quentin M. and Arias-Loste, Maria Teresa and Bantel, Heike and Bellentani, Stefano and Caballeria, Joan and Colombo, Massimo and Craxi, Antonio and Crespo, Javier and Day, Christopher P. and Eguchi, Yuichiro and Geier, Andreas and Kondili, Loreta A. and Kroy, Daniela C. and Lazarus, Jeffrey V. and Loomba, Rohit and Manns, Michael P. and Marchesini, Giulio and Nakajima, Atsushi and Negro, Francesco and Petta, Salvatore and Ratziu, Vlad and Romero-Gomez, Manuel and Sanyal, Arun and Schattenberg, J{\"o}rn M. and Tacke, Frank and Tanaka, Junko and Trautwein, Christian and Wei, Lai and Zeuzem, Stefan and Ravazi, Homie},
  title     = {Modeling NAFLD disease burden in China, France, Germany, Italy, Japan, Spain, United Kingdom, and United States for the period 2016-2030},
  series = {Journal of Hepatology},
  volume    = {69},
  journal   = {Journal of Hepatology},
  doi       = {10.1016/j.jhep.2018.05.036},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-227286},
  pages     = {896-904},
  year      = {2018},
  abstract  = {Background \& Aims Non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) are increasingly a cause of cirrhosis and hepatocellular carcinoma globally. This burden is expected to increase as epidemics of obesity, diabetes and metabolic syndrome continue to grow. The goal of this analysis was to use a Markov model to forecast NAFLD disease burden using currently available data. Methods A model was used to estimate NAFLD and NASH disease progression in eight countries based on data for adult prevalence of obesity and type 2 diabetes mellitus (DM). Published estimates and expert consensus were used to build and validate the model projections. Results If obesity and DM level off in the future, we project a modest growth in total NAFLD cases (0-30\%), between 2016-2030, with the highest growth in China as a result of urbanization and the lowest growth in Japan as a result of a shrinking population. However, at the same time, NASH prevalence will increase 15-56\%, while liver mortality and advanced liver disease will more than double as a result of an aging/increasing population. Conclusions NAFLD and NASH represent a large and growing public health problem and efforts to understand this epidemic and to mitigate the disease burden are needed. If obesity and DM continue to increase at current and historical rates, both NAFLD and NASH prevalence are expected to increase. Since both are reversible, public health campaigns to increase awareness and diagnosis, and to promote diet and exercise can help manage the growth in future disease burden. Lay summary Non-alcoholic fatty liver disease and non-alcoholic steatohepatitis can lead to advanced liver disease. Both conditions are becoming increasingly prevalent as the epidemics of obesity and diabetes continue to increase. A mathematical model was built to understand how the disease burden associated with non-alcoholic fatty liver disease and non-alcoholic steatohepatitis will change over time. Results suggest increasing cases of advanced liver disease and liver-related mortality in the coming years.},
  language  = {en}
}