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Detection and characterization of Wolbachia infection in silkworm

Overview of attention for article published in Genetics and Molecular Biology, September 2014
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Title
Detection and characterization of Wolbachia infection in silkworm
Published in
Genetics and Molecular Biology, September 2014
DOI 10.1590/s1415-47572014000400014
Pubmed ID
Authors

Xingfu Zha, Wenji Zhang, Chunyan Zhou, Liying Zhang, Zhonghuai Xiang, Qingyou Xia

Abstract

Wolbachia naturally infects a wide variety of arthropods, where it plays important roles in host reproduction. It was previously reported that Wolbachia did not infect silkworm. By means of PCR and sequencing we found in this study that Wolbachia is indeed present in silkworm. Phylogenetic analysis indicates that Wolbachia infection in silkworm may have occurred via transfer from parasitic wasps. Furthermore, Southern blotting results suggest a lateral transfer of the wsp gene into the genomes of some wild silkworms. By antibiotic treatments, we found that tetracycline and ciprofloxacin can eliminate Wolbachia in the silkworm and Wolbachia is important to ovary development of silkworm. These results provide clues towards a more comprehensive understanding of the interaction between Wolbachia and silkworm and possibly other lepidopteran insects.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Czechia 1 2%
Unknown 56 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 28%
Researcher 10 17%
Student > Master 9 16%
Student > Bachelor 5 9%
Student > Postgraduate 3 5%
Other 5 9%
Unknown 10 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 47%
Biochemistry, Genetics and Molecular Biology 8 14%
Environmental Science 4 7%
Social Sciences 3 5%
Engineering 2 3%
Other 3 5%
Unknown 11 19%
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 25 September 2014.
All research outputs
#17,285,668
of 25,374,647 outputs
Outputs from Genetics and Molecular Biology
#408
of 771 outputs
Outputs of similar age
#157,194
of 262,420 outputs
Outputs of similar age from Genetics and Molecular Biology
#8
of 12 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 771 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 32nd percentile – i.e., 32% 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 262,420 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.