Literature DB >> 27423230

Transcriptome analysis of sika deer in China.

Bo-Yin Jia1, Heng-Xing Ba1, Gui-Wu Wang1, Ying Yang1, Xue-Zhe Cui1, Ying-Hua Peng1, Jun-Jun Zheng1, Xiu-Mei Xing1, Fu-He Yang2.   

Abstract

Sika deer is of great commercial value because their antlers are used in tonics and alternative medicine and their meat is healthy and delicious. The goal of this study was to generate transcript sequences from sika deer for functional genomic analyses and to identify the transcripts that demonstrate tissue-specific, age-dependent differential expression patterns. These sequences could enhance our understanding of the molecular mechanisms underlying sika deer growth and development. In the present study, we performed de novo transcriptome assembly and profiling analysis across ten tissue types and four developmental stages (juvenile, adolescent, adult, and aged) of sika deer, using Illumina paired-end tag (PET) sequencing technology. A total of 1,752,253 contigs with an average length of 799 bp were generated, from which 1,348,618 unigenes with an average length of 590 bp were defined. Approximately 33.2 % of these (447,931 unigenes) were then annotated in public protein databases. Many sika deer tissue-specific, age-dependent unigenes were identified. The testes have the largest number of tissue-enriched unigenes, and some of them were prone to develop new functions for other tissues. Additionally, our transcriptome revealed that the juvenile-adolescent transition was the most complex and important stage of the sika deer life cycle. The present work represents the first multiple tissue transcriptome analysis of sika deer across four developmental stages. The generated data not only provide a functional genomics resource for future biological research on sika deer but also guide the selection and manipulation of genes controlling growth and development.

Entities:  

Keywords:  Genome; Profiling analysis; Sika deer; Transcriptome assembly

Mesh:

Year:  2016        PMID: 27423230     DOI: 10.1007/s00438-016-1231-y

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  31 in total

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2.  Gene expression dynamics in deer antler: mesenchymal differentiation toward chondrogenesis.

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Review 3.  Computational methods for transcriptome annotation and quantification using RNA-seq.

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Journal:  Mol Genet Genomics       Date:  2006-11-28       Impact factor: 3.291

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1.  The red deer Cervus elaphus genome CerEla1.0: sequencing, annotating, genes, and chromosomes.

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Journal:  Mol Genet Genomics       Date:  2018-01-02       Impact factor: 3.291

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

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3.  First Detection and Molecular Identification of Entamoeba bovis in Farm-Raised Sika Deer from Anhui Province, China.

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4.  Development of novel EST microsatellite markers for genetic diversity analysis and correlation analysis of velvet antler growth characteristics in Sika deer.

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6.  Transcriptomic analysis of different tissue layers in antler growth Center in Sika Deer (Cervus nippon).

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7.  Altered miRNA and mRNA Expression in Sika Deer Skeletal Muscle with Age.

Authors:  Boyin Jia; Yuan Liu; Qining Li; Jiali Zhang; Chenxia Ge; Guiwu Wang; Guang Chen; Dongdong Liu; Fuhe Yang
Journal:  Genes (Basel)       Date:  2020-02-06       Impact factor: 4.096

8.  Growth Performance and Hematological Changes in Growing Sika Deers Fed with Spent Mushroom Substrate of Pleurotus ostreatus.

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Journal:  Animals (Basel)       Date:  2022-03-18       Impact factor: 2.752

  8 in total

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