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Deep Investigation of Arabidopsis thaliana Junk DNA Reveals a Continuum between Repetitive Elements and Genomic Dark Matter

Overview of attention for article published in PLOS ONE, April 2014
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Title
Deep Investigation of Arabidopsis thaliana Junk DNA Reveals a Continuum between Repetitive Elements and Genomic Dark Matter
Published in
PLOS ONE, April 2014
DOI 10.1371/journal.pone.0094101
Pubmed ID
Authors

Florian Maumus, Hadi Quesneville

Abstract

Eukaryotic genomes contain highly variable amounts of DNA with no apparent function. This so-called junk DNA is composed of two components: repeated and repeat-derived sequences (together referred to as the repeatome), and non-annotated sequences also known as genomic dark matter. Because of their high duplication rates as compared to other genomic features, transposable elements are predominant contributors to the repeatome and the products of their decay is thought to be a major source of genomic dark matter. Determining the origin and composition of junk DNA is thus important to help understanding genome evolution as well as host biology. In this study, we have used a combination of tools enabling to show that the repeatome from the small and reducing A. thaliana genome is significantly larger than previously thought. Furthermore, we present the concepts and results from a series of innovative approaches suggesting that a significant amount of the A. thaliana dark matter is of repetitive origin. As a tentative standard for the community, we propose a deep compendium annotation of the A. thaliana repeatome that may help addressing farther genome evolution as well as transcriptional and epigenetic regulation in this model plant.

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Geographical breakdown

Country Count As %
Brazil 2 2%
Netherlands 1 1%
Italy 1 1%
France 1 1%
Uruguay 1 1%
United States 1 1%
Unknown 85 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 27%
Researcher 19 21%
Student > Master 10 11%
Professor 6 7%
Student > Doctoral Student 5 5%
Other 10 11%
Unknown 17 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 57%
Biochemistry, Genetics and Molecular Biology 15 16%
Environmental Science 1 1%
Philosophy 1 1%
Business, Management and Accounting 1 1%
Other 3 3%
Unknown 19 21%