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Transcriptome analysis of gene expression patterns during embryonic development in golden cuttlefish (Sepia esculenta)

Overview of attention for article published in Genes & Genomics, November 2017
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  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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Title
Transcriptome analysis of gene expression patterns during embryonic development in golden cuttlefish (Sepia esculenta)
Published in
Genes & Genomics, November 2017
DOI 10.1007/s13258-017-0588-6
Pubmed ID
Authors

Li Bian, Changlin Liu, Siqing Chen, Fazhen Zhao, Jianlong Ge, Jie Tan

Abstract

Golden cuttlefish (Sepia esculenta) is an important economic species in China. Because of the rapid decline of its natural resource, researchers are exploring breeding technique for this species. The major obstacle that hinders artificial breeding of S. esculenta is the low larvae survival rate. Mortality is especially high during the mouth-opening stage. Investigating the embryogenesis before the first feed could provide theoretical guidance for reproduction control and breeding of S. esculenta and other Sepia species. In this study, we analyzed the dynamics of the S. esculenta transcriptome along different stages of embryonic development by mRNA-sEq. Our bioinformatics protocol identified 1492 differentially expressed genes (DEGs) across the early developmental stages. Gene ontology enrichment analysis showed that the DEGs were significantly involved in developmental processes and molecular functions, including chitin metabolic process, peptidase activity, catalytic activity, and calcium ion binding. Our results indicated that genes related to cuttlebone development and gene regulation functions were active during the early life phase of S. esculenta. Hierarchical clustering of the DEGs reflected the successiveness of the developmental stages, revealing that gene expression patterns of neighboring stages were similar. The DEG analysis allowed us to identify specific genes and relevant biological pathways to better understand the molecular mechanisms during each developmental stage. This study provides novel insights into the processes underlying the early developmental stages of S. esculenta. The transcriptomic data and identified genes will serve as valuable references for the developmental biology of this species and will help promote its aquaculture research.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 23%
Student > Ph. D. Student 5 19%
Researcher 4 15%
Student > Bachelor 2 8%
Other 1 4%
Other 2 8%
Unknown 6 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 38%
Biochemistry, Genetics and Molecular Biology 5 19%
Environmental Science 2 8%
Unspecified 1 4%
Computer Science 1 4%
Other 1 4%
Unknown 6 23%
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 26 October 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Genes & Genomics
#223
of 661 outputs
Outputs of similar age
#248,688
of 340,752 outputs
Outputs of similar age from Genes & Genomics
#5
of 24 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 661 research outputs from this source. They receive a mean Attention Score of 1.3. This one has gotten more attention than average, scoring higher than 58% of its peers.
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 340,752 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 24 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 66% of its contemporaries.