Literature DB >> 30036655

Transcriptome analysis for identification of candidate genes related to sex determination and growth in Charybdis japonica.

Fangrui Lou1, Tianyan Yang2, Zhiqiang Han3, Tianxiang Gao2.   

Abstract

Charybdis japonica is an important cultured crab in China and it exhibits sex differences in their growth. Growth is an important economic trait that is controlled by many genes. In order to discover the growth-related regulatory mechanisms, whole-body transcriptomic sequencing and comparative analyses in different genders of C. japonica were conducted based on Illumina RNA-seq technology. In the present study, we obtained 62,879,204 and 60,226,334 clean reads in female and male libraries, respectively. 25,000,000 clean reads of every library were randomly selected and compared with Nt database to examine the possible contamination. Results showed that all clean reads were distributed among C. japonica or other species that were closely relative to this species, indicating no-pollution. De novo assembly was performed and a total of 32,543 and 44,174 unigenes were produced in female and male of C. japonica, respectively. Among all the unigenes, 12,591 and 14,455 unigenes of female and male crabs were annotated based on protein databases. Moreover, a total of 33,926 unigenes were found to contain ORFs and 52,839 SSRs were detected. The contrast between male and female C. japonica identifying 1939 unigenes were significantly differentially expressed. In addition, we specifically discussed some gene functions and pathways potentially associated with sex determination and growth. This is the first systematic report of whole transcriptome in C. japonica. The transcriptome information provides a basic resource for further studies on understanding the molecular basis of biological processes in C. japonica and other crustaceans.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Charybdis japonica; De novo assembly; Growth; Sex differentiation; Transcriptome

Mesh:

Year:  2018        PMID: 30036655     DOI: 10.1016/j.gene.2018.07.044

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  4 in total

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Journal:  BMC Genomics       Date:  2022-09-29       Impact factor: 4.547

  4 in total

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