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Sequencing and de novo assembly of the Asian gypsy moth transcriptome using the Illumina platform

Overview of attention for article published in Genetics and Molecular Biology, October 2016
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Title
Sequencing and de novo assembly of the Asian gypsy moth transcriptome using the Illumina platform
Published in
Genetics and Molecular Biology, October 2016
DOI 10.1590/1678-4685-gmb-2015-0257
Pubmed ID
Authors

Fan Xiaojun, Yang Chun, Liu Jianhong, Zhang Chang, Li Yao

Abstract

The Asian gypsy moth (Lymantria dispar) is a serious pest of forest and shade trees in many Asian and some European countries. However, there have been few studies of L. dispar genetic information and comprehensive genetic analyses of this species are needed in order to understand its genetic and metabolic sensitivities, such as the molting mechanism during larval development. In this study, high-throughput sequencing technology was used to sequence the transcriptome of the Asian subspecies of the gyspy moth, after which a comprehensive analysis of chitin metabolism was undertaken. We generated 37,750,380 high-quality reads and assembled them into contigs. A total of 37,098 unigenes were identified, of which 15,901 were annotated in the NCBI non-redundant protein database and 9,613 were annotated in the Swiss-Prot database. We mapped 4,329 unigenes onto 317 pathways using the Kyoto Encyclopedia of Genes and Genomes Pathway database. Chitin metabolism unigenes were found in the transcriptome and the data indicated that a variety of enzymes was involved in chitin catabolic and biosynthetic pathways.

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Mendeley readers

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The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Unspecified 1 11%
Professor 1 11%
Other 1 11%
Student > Master 1 11%
Other 1 11%
Unknown 1 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 67%
Biochemistry, Genetics and Molecular Biology 1 11%
Unspecified 1 11%
Unknown 1 11%
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 22 October 2016.
All research outputs
#15,387,502
of 22,893,031 outputs
Outputs from Genetics and Molecular Biology
#359
of 712 outputs
Outputs of similar age
#198,603
of 315,898 outputs
Outputs of similar age from Genetics and Molecular Biology
#4
of 5 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 712 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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