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Transcriptomics analysis revealing candidate networks and genes for the body size sexual dimorphism of Chinese tongue sole (Cynoglossus semilaevis)

Overview of attention for article published in Functional & Integrative Genomics, March 2018
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Title
Transcriptomics analysis revealing candidate networks and genes for the body size sexual dimorphism of Chinese tongue sole (Cynoglossus semilaevis)
Published in
Functional & Integrative Genomics, March 2018
DOI 10.1007/s10142-018-0595-y
Pubmed ID
Authors

Na Wang, Renkai Wang, Ruoqing Wang, Songlin Chen

Abstract

The Chinese tongue sole (Cynoglossus semilaevis) is a typical female heterogamete species that exhibits female-biased sexual size dimorphism, which has severely hindered the sustainable development of the species in aquaculture. In the present study, four important somatotropic and reproductive tissues including brain, pituitary, liver, and gonad from 15 females and 15 males were used for transcriptome analysis via RNA-seq. A mean of 37,533,991 high-quality clean reads was obtained from each library and 806, 1482, 818, and 14,695 differentially expressed genes in female and male were identified from the brain, pituitary, liver, and gonad, respectively (fold change ≥ 2 and q < 0.05). Enrichment analyses of GO terms and KEGG pathways showed that nucleic acid-binding transcription factor activity, G-protein-coupled receptor activity, MAPK signaling pathway, steroid biosynthesis, and neuroactive ligand-receptor interaction may be involved in the sexual growth differences. Furthermore, via weighted gene co-expression network analyses, two modules (yellowgreen and salmon4) were identified to be significantly positive-correlated with female-biased sexual size dimorphism. An illustrated network map drawn by these two modules enabled the identification of a series of hub genes, including nipped-B-like protein A (nipbla), transcriptional activator protein Pur-beta-like (purb), and BDNF/NT-3 growth factors receptor (ntrk2). Detailed functional investigation of these networks and hub genes will further improve our understanding of the underlying molecular mechanism of sexual size dimorphism in fish.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Student > Master 5 19%
Professor > Associate Professor 4 15%
Student > Ph. D. Student 4 15%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 4 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 26%
Biochemistry, Genetics and Molecular Biology 5 19%
Medicine and Dentistry 3 11%
Unspecified 1 4%
Sports and Recreations 1 4%
Other 1 4%
Unknown 9 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 September 2018.
All research outputs
#17,933,348
of 23,026,672 outputs
Outputs from Functional & Integrative Genomics
#264
of 520 outputs
Outputs of similar age
#241,963
of 332,696 outputs
Outputs of similar age from Functional & Integrative Genomics
#5
of 17 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 520 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 332,696 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.