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Sequencing, de novo assembly and annotation of a pink bollworm larval midgut transcriptome

Overview of attention for article published in Giga Science, June 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

twitter
8 tweeters
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

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6 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Sequencing, de novo assembly and annotation of a pink bollworm larval midgut transcriptome
Published in
Giga Science, June 2016
DOI 10.1186/s13742-016-0130-9
Pubmed ID
Authors

Erica E. Tassone, Gina Zastrow-Hayes, John Mathis, Mark E. Nelson, Gusui Wu, J. Lindsey Flexner, Yves Carrière, Bruce E. Tabashnik, Jeffrey A. Fabrick

Abstract

The pink bollworm Pectinophora gossypiella (Saunders) (Lepidoptera: Gelechiidae) is one of the world's most important pests of cotton. Insecticide sprays and transgenic cotton producing toxins of the bacterium Bacillus thuringiensis (Bt) are currently used to manage this pest. Bt toxins kill susceptible insects by specifically binding to and destroying midgut cells, but they are not toxic to most other organisms. Pink bollworm is useful as a model for understanding insect responses to Bt toxins, yet advances in understanding at the molecular level have been limited because basic genomic information is lacking for this cosmopolitan pest. Here, we have sequenced, de novo assembled and annotated a comprehensive larval midgut transcriptome from a susceptible strain of pink bollworm. A de novo transcriptome assembly for the midgut of P. gossypiella was generated containing 46,458 transcripts (average length of 770 bp) derived from 39,874 unigenes. The size of the transcriptome is similar to published midgut transcriptomes of other Lepidoptera and includes up to 91 % annotated contigs. The dataset is publicly available in NCBI and GigaDB as a resource for researchers. Foundational knowledge of protein-coding genes from the pink bollworm midgut is critical for understanding how this important insect pest functions. The transcriptome data presented here represent the first large-scale molecular resource for this species, and may be used for deciphering relevant midgut proteins critical for xenobiotic detoxification, nutrient digestion and allocation, as well as for the discovery of protein receptors important for Bt intoxication.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Poland 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 24%
Student > Ph. D. Student 6 21%
Student > Master 4 14%
Student > Bachelor 3 10%
Professor 1 3%
Other 4 14%
Unknown 4 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 59%
Biochemistry, Genetics and Molecular Biology 4 14%
Unspecified 1 3%
Physics and Astronomy 1 3%
Neuroscience 1 3%
Other 0 0%
Unknown 5 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 June 2016.
All research outputs
#3,248,886
of 12,378,687 outputs
Outputs from Giga Science
#422
of 503 outputs
Outputs of similar age
#78,404
of 270,773 outputs
Outputs of similar age from Giga Science
#13
of 13 outputs
Altmetric has tracked 12,378,687 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 503 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. This one is in the 14th percentile – i.e., 14% 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 270,773 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.