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Development of an efficient RNA interference method by feeding for the microcrustacean Daphnia

Overview of attention for article published in BMC Biotechnology, October 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 815)
  • High Attention Score compared to outputs of the same age (87th percentile)

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1 blog
9 tweeters


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69 Mendeley
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Development of an efficient RNA interference method by feeding for the microcrustacean Daphnia
Published in
BMC Biotechnology, October 2015
DOI 10.1186/s12896-015-0209-x
Pubmed ID

Charles A. Schumpert, Jeffry L. Dudycha, Rekha C. Patel


RNA interference (RNAi) is an important molecular tool for analysis of gene function in vivo. Daphnia, a freshwater microcrustacean, is an emerging model organism for studying cellular and molecular processes involved in aging, development, and ecotoxicology especially in the context of environmental variation. However, in spite of the availability of a fully sequenced genome of Daphnia pulex, meaningful mechanistic studies have been hampered by a lack of molecular techniques to alter gene expression. A microinjection method for gene knockdown by RNAi has been described but the need for highly specialized equipment as well as technical expertise limits the wider application of this technique. In addition to being expensive and technically challenging, microinjections can only target genes expressed during embryonic stages, thus making it difficult to achieve effective RNAi in adult organisms. In our present study we present a bacterial feeding method for RNAi in Daphnia. We used a melanic Daphnia species (Daphnia melanica) that exhibits dark pigmentation to target phenoloxidase, a key enzyme in the biosynthesis of melanin. We demonstrate that our RNAi method results in a striking phenotype and that the phenoloxidase mRNA expression and melanin content, as well as survival following UV insults, are diminished as a result of RNAi. Overall, our results establish a new method for RNAi in Daphnia that significantly advances further use of Daphnia as a model organism for functional genomics studies. The method we describe is relatively simple and widely applicable for knockdown of a variety of genes in adult organisms.

Twitter Demographics

The data shown below were collected from the profiles of 9 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Slovenia 1 1%
Unknown 67 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 20%
Researcher 12 17%
Student > Bachelor 8 12%
Student > Master 8 12%
Student > Doctoral Student 5 7%
Other 9 13%
Unknown 13 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 39%
Biochemistry, Genetics and Molecular Biology 17 25%
Environmental Science 6 9%
Chemistry 2 3%
Business, Management and Accounting 1 1%
Other 5 7%
Unknown 11 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 23 June 2019.
All research outputs
of 15,306,144 outputs
Outputs from BMC Biotechnology
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Outputs of similar age
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Outputs of similar age from BMC Biotechnology
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Altmetric has tracked 15,306,144 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 815 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 94% 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 253,998 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them