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Construction of a mariner-based transposon vector for use in insertion sequence mutagenesis in selected members of the Rhizobiaceae

Overview of attention for article published in BMC Microbiology, November 2014
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  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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111 Mendeley
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1 CiteULike
Title
Construction of a mariner-based transposon vector for use in insertion sequence mutagenesis in selected members of the Rhizobiaceae
Published in
BMC Microbiology, November 2014
DOI 10.1186/s12866-014-0298-z
Pubmed ID
Authors

Benjamin J Perry, Christopher K Yost

Abstract

BackgroundThe Rhizobiaceae family of Gram-negative bacteria often engage in symbiosis with plants of economic importance. Historically, genetic studies to identify the function of individual genes, and characterize the biology of these bacteria have relied on the use of classical transposon mutagenesis. To increase the rate of scientific discovery in the Rhizobiaceae there is a need to adapt high-throughput genetic screens like insertion sequencing for use in this family of bacteria. Here we describe a Rhizobiaceae compatible MmeI-adapted mariner transposon that can be used with insertion sequencing for high-throughput genetic screening.ResultsThe newly constructed mariner transposon pSAM_Rl mutagenized R. leguminosarum, S. meliloti, and A. tumefaciens at a high frequency. In R. leguminosarum, mutant pools were generated that saturated 88% of potential mariner insertions sites in the genome. Analysis of the R. leguminosarum transposon insertion sequencing data with a previously described hidden Markov model-based method resulted in assignment of the contribution of all annotated genes in the R. leguminosarum 3841 genome for growth on a complex medium. Good concordance was observed between genes observed to be required for growth on the complex medium, and previous studies.ConclusionsThe newly described Rhizobiaceaee compatible mariner transposon insertion sequencing vector pSAM_Rl has been shown to mutagenize at a high frequency and to be an effective tool for use in high-throughput genetic screening. The construction and validation of this transposon insertion sequencing tool for use in the Rhizobiziaceae will provide an opportunity for researchers in the Rhizobiaceae community to use high-throughput genetic screening, allowing for significant increase in the rate of genetic discovery, particularly given the recent release of genome sequences from many Rhizobiaceae strains.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 <1%
Canada 1 <1%
Unknown 109 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 31%
Researcher 15 14%
Student > Master 13 12%
Student > Bachelor 12 11%
Student > Doctoral Student 4 4%
Other 11 10%
Unknown 22 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 40%
Biochemistry, Genetics and Molecular Biology 31 28%
Immunology and Microbiology 6 5%
Environmental Science 4 4%
Business, Management and Accounting 2 2%
Other 4 4%
Unknown 20 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 October 2015.
All research outputs
#15,552,895
of 24,649,404 outputs
Outputs from BMC Microbiology
#1,550
of 3,392 outputs
Outputs of similar age
#203,469
of 372,004 outputs
Outputs of similar age from BMC Microbiology
#25
of 59 outputs
Altmetric has tracked 24,649,404 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,392 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 50% 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 372,004 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 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 57% of its contemporaries.