Literature DB >> 32109564

De novo transcriptome assembly and sex-biased gene expression in the gonads of Amur catfish (Silurus asotus).

Fangfang Shen1, Yong Long2, Fengyang Li3, Guodong Ge4, Guili Song2, Qing Li2, Zhigang Qiao1, Zongbin Cui5.   

Abstract

Amur catfish is extensively distributed and cultured in Asian countries. Despite of economic importance, the genomic information of this species remains limited. A reference transcriptome of Amur catfish was assembled and the sex-biased gene expression in the gonads was characterized using RNA-sequencing. The assembled transcriptome of Amur catfish consisted of 74,840 transcripts. The N50, mean length and max length of transcripts are 1970, 1235 and 16,748 bp. Putative sex-specific transcripts were identified and sex-specific expression of the representative genes was verified by RT-PCR. Differential expression analysis identified 5401 ovary-biased and 5618 testis-biased genes. The ovary-biased genes were mainly enriched in pathways such as RNA transport and ribosome biogenesis in eukaryotes. The testis-biased genes were enriched in calcium signaling and cytokine-cytokine receptor interaction, etc. Our data provide a valuable genomic resource for further investigating the genetic basis of sex determination, sex differentiation and sexual dimorphism of catfish.
Copyright © 2020. Published by Elsevier Inc.

Entities:  

Keywords:  Amur catfish; Differential gene expression; Gonad; Sex determination; Sex differentiation; Sexual dimorphism; de novo assembly

Mesh:

Year:  2020        PMID: 32109564     DOI: 10.1016/j.ygeno.2020.01.026

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  2 in total

Review 1.  Advances in Reproductive Endocrinology and Neuroendocrine Research Using Catfish Models.

Authors:  Balasubramanian Senthilkumaran; Sonika Kar
Journal:  Cells       Date:  2021-10-20       Impact factor: 6.600

2.  Understanding the Function and Mechanism of Zebrafish Tmem39b in Regulating Cold Resistance.

Authors:  Renyan Liu; Yong Long; Ran Liu; Guili Song; Qing Li; Huawei Yan; Zongbin Cui
Journal:  Int J Mol Sci       Date:  2022-09-28       Impact factor: 6.208

  2 in total

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