Literature DB >> 29321364

Illumina-based de novo transcriptome sequencing and analysis of Chinese forest musk deer.

Zhongxian Xu1, Hang Jie, Binlong Chen, Uma Gaur, Nan Wu, Jian Gao, Pinming Li, Guijun Zhao, Dejun Zeng, Mingyao Yang, Diyan Li.   

Abstract

The Chinese forest musk deer (Moschus berezovskii Flerov) is an endangered artiodactyl mammal. The musk secreted by sexually mature males is highly valued for alleged pharmaceutical properties and perfume manufacturing. However, the genomic and transcriptomic resources of musk deer remain deficiently represented and poorly understood. Next-generation sequencing technique is an efficient method for generating an enormous amount of sequence data that can represent a large number of genes and their expression levels. In the present study, we used Illumina HiSeq technology to perform de novo assembly of heart and musk gland transcriptomes from the Chinese forest musk deer. A total of 239,383 transcripts and 176,450 unigenes were obtained, of which 37,329 unigenes were matched to known sequences in the NCBI nonredundant protein (Nr) database; 31,039 unigenes were assigned to 61 GO terms, and 11,782 to 332 KEGG pathways. Additionally, 592 and 2282 differentially expressed genes were found to be specifically expressed in the heart and musk gland, respectively. The abundant transcriptomic data generated in the present report will provide a comprehensive sequence resource for Chinese forest musk deer as well as lay down a foundation which will help in accelerating genetic and functional genomics research in this species.

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Year:  2017        PMID: 29321364     DOI: 10.1007/s12041-017-0872-x

Source DB:  PubMed          Journal:  J Genet        ISSN: 0022-1333            Impact factor:   1.166


  25 in total

1.  The Gene Ontology (GO) database and informatics resource.

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Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

Review 2.  Association of single nucleotide polymorphisms in the CYP1B1 gene with the risk of primary open-angle glaucoma: a meta-analysis.

Authors:  Z Wang; M Li; L Li; H Sun; X Y Lin
Journal:  Genet Mol Res       Date:  2015-12-17

3.  Genetic diversity of captive forest musk deer (Moschus berezovskii) inferred from the mitochondrial DNA control region.

Authors:  H Peng; S Liu; F Zou; B Zeng; B Yue
Journal:  Anim Genet       Date:  2008-12-12       Impact factor: 3.169

4.  Mapping and quantifying mammalian transcriptomes by RNA-Seq.

Authors:  Ali Mortazavi; Brian A Williams; Kenneth McCue; Lorian Schaeffer; Barbara Wold
Journal:  Nat Methods       Date:  2008-05-30       Impact factor: 28.547

Review 5.  Next-generation transcriptome assembly.

Authors:  Jeffrey A Martin; Zhong Wang
Journal:  Nat Rev Genet       Date:  2011-09-07       Impact factor: 53.242

6.  Synergistic control of sex hormones by 17β-HSD type 7: a novel target for estrogen-dependent breast cancer.

Authors:  Xiaoqiang Wang; Catherine Gérard; Jean-François Thériault; Donald Poirier; Charles J Doillon; Sheng-Xiang Lin
Journal:  J Mol Cell Biol       Date:  2015-05-12       Impact factor: 6.216

7.  Inflammatory regulation of steroid sulfatase: A novel mechanism to control estrogen homeostasis and inflammation in chronic liver disease.

Authors:  Mengxi Jiang; Marcus Klein; Ulrich M Zanger; Mohammad K Mohammad; Matthew C Cave; Nilesh W Gaikwad; Natasha J Dias; Kyle W Selcer; Yan Guo; Jinhan He; Xiuhui Zhang; Qiujin Shen; Wenxin Qin; Jiang Li; Song Li; Wen Xie
Journal:  J Hepatol       Date:  2015-07-26       Impact factor: 25.083

8.  RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome.

Authors:  Bo Li; Colin N Dewey
Journal:  BMC Bioinformatics       Date:  2011-08-04       Impact factor: 3.307

9.  Differential gene expression in ovaries of Qira black sheep and Hetian sheep using RNA-Seq technique.

Authors:  Han Ying Chen; Hong Shen; Bin Jia; Yong Sheng Zhang; Xu Hai Wang; Xian Cun Zeng
Journal:  PLoS One       Date:  2015-03-19       Impact factor: 3.240

10.  The musk chemical composition and microbiota of Chinese forest musk deer males.

Authors:  Diyan Li; Binlong Chen; Long Zhang; Uma Gaur; Tianyuan Ma; Hang Jie; Guijun Zhao; Nan Wu; Zhongxian Xu; Huailiang Xu; Yongfang Yao; Ting Lian; Xiaolan Fan; Deying Yang; Mingyao Yang; Qing Zhu; Jessica Satkoski Trask
Journal:  Sci Rep       Date:  2016-01-08       Impact factor: 4.379

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  3 in total

1.  Comparative Genomics Reveals the Genetic Mechanisms of Musk Secretion and Adaptive Immunity in Chinese Forest Musk Deer.

Authors:  Chuang Zhou; Wenbo Zhang; Qinchao Wen; Ping Bu; Jie Gao; Guannan Wang; Jiazheng Jin; Yinjie Song; Xiaohong Sun; Yifan Zhang; Xue Jiang; Haoran Yu; Changjun Peng; Yongmei Shen; Megan Price; Jing Li; Xiuyue Zhang; Zhenxin Fan; Bisong Yue
Journal:  Genome Biol Evol       Date:  2019-04-01       Impact factor: 3.416

2.  Whole-genome sequencing of wild Siberian musk deer (Moschus moschiferus) provides insights into its genetic features.

Authors:  Li Yi; Menggen Dalai; Rina Su; Weili Lin; Myagmarsuren Erdenedalai; Batkhuu Luvsantseren; Chimedragchaa Chimedtseren; Zhen Wang; Surong Hasi
Journal:  BMC Genomics       Date:  2020-01-31       Impact factor: 3.969

3.  The draft genome sequence of forest musk deer (Moschus berezovskii).

Authors:  Zhenxin Fan; Wujiao Li; Jiazheng Jin; Kai Cui; Chaochao Yan; Changjun Peng; Zuoyi Jian; Ping Bu; Megan Price; Xiuyue Zhang; Yongmei Shen; Jing Li; Wenhua Q; Bisong Yue
Journal:  Gigascience       Date:  2018-04-01       Impact factor: 6.524

  3 in total

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