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Flow cytometry sorting of nuclei enables the first global characterization of Paramecium germline DNA and transposable elements

Overview of attention for article published in BMC Genomics, April 2017
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
Flow cytometry sorting of nuclei enables the first global characterization of Paramecium germline DNA and transposable elements
Published in
BMC Genomics, April 2017
DOI 10.1186/s12864-017-3713-7
Pubmed ID
Authors

Frédéric Guérin, Olivier Arnaiz, Nicole Boggetto, Cyril Denby Wilkes, Eric Meyer, Linda Sperling, Sandra Duharcourt

Abstract

DNA elimination is developmentally programmed in a wide variety of eukaryotes, including unicellular ciliates, and leads to the generation of distinct germline and somatic genomes. The ciliate Paramecium tetraurelia harbors two types of nuclei with different functions and genome structures. The transcriptionally inactive micronucleus contains the complete germline genome, while the somatic macronucleus contains a reduced genome streamlined for gene expression. During development of the somatic macronucleus, the germline genome undergoes massive and reproducible DNA elimination events. Availability of both the somatic and germline genomes is essential to examine the genome changes that occur during programmed DNA elimination and ultimately decipher the mechanisms underlying the specific removal of germline-limited sequences. We developed a novel experimental approach that uses flow cell imaging and flow cytometry to sort subpopulations of nuclei to high purity. We sorted vegetative micronuclei and macronuclei during development of P. tetraurelia. We validated the method by flow cell imaging and by high throughput DNA sequencing. Our work establishes the proof of principle that developing somatic macronuclei can be sorted from a complex biological sample to high purity based on their size, shape and DNA content. This method enabled us to sequence, for the first time, the germline DNA from pure micronuclei and to identify novel transposable elements. Sequencing the germline DNA confirms that the Pgm domesticated transposase is required for the excision of all ~45,000 Internal Eliminated Sequences. Comparison of the germline DNA and unrearranged DNA obtained from PGM-silenced cells reveals that the latter does not provide a faithful representation of the germline genome. We developed a flow cytometry-based method to purify P. tetraurelia nuclei to high purity and provided quality control with flow cell imaging and high throughput DNA sequencing. We identified 61 germline transposable elements including the first Paramecium retrotransposons. This approach paves the way to sequence the germline genomes of P. aurelia sibling species for future comparative genomic studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 33%
Student > Ph. D. Student 11 18%
Student > Master 9 15%
Student > Doctoral Student 3 5%
Student > Bachelor 3 5%
Other 2 3%
Unknown 12 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 35%
Agricultural and Biological Sciences 17 28%
Computer Science 2 3%
Immunology and Microbiology 2 3%
Unspecified 1 2%
Other 3 5%
Unknown 14 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 April 2017.
All research outputs
#6,220,642
of 23,577,654 outputs
Outputs from BMC Genomics
#2,550
of 10,787 outputs
Outputs of similar age
#95,888
of 311,041 outputs
Outputs of similar age from BMC Genomics
#56
of 227 outputs
Altmetric has tracked 23,577,654 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 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 76% 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 311,041 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 69% of its contemporaries.
We're also able to compare this research output to 227 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.