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Exploring giant plant genomes with next-generation sequencing technology

Overview of attention for article published in Chromosome Research, October 2011
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Title
Exploring giant plant genomes with next-generation sequencing technology
Published in
Chromosome Research, October 2011
DOI 10.1007/s10577-011-9246-z
Pubmed ID
Authors

Laura J. Kelly, Ilia J. Leitch

Abstract

Genome size in plants is characterised by its extraordinary range. Although it appears that the majority of plants have small genomes, in several lineages genome size has reached giant proportions. The recent advent of next-generation sequencing (NGS) methods has for the first time made detailed analysis of even the largest of plant genomes a possibility. In this review, we highlight investigations that have utilised NGS for the study of plants with large genomes, as well as describing ongoing work that aims to harness the power of these technologies to gain insights into their evolution. In addition, we emphasise some areas of research where the use of NGS has the potential to generate significant advances in our current understanding of how plant genomes evolve. Finally, we discuss some of the future developments in sequencing technology that may further improve our ability to explore the content and evolutionary dynamics of the very largest genomes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
United Kingdom 2 2%
Brazil 2 2%
Netherlands 1 <1%
Switzerland 1 <1%
Uruguay 1 <1%
Sweden 1 <1%
Norway 1 <1%
Czechia 1 <1%
Other 3 3%
Unknown 97 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 31%
Researcher 25 22%
Student > Master 15 13%
Student > Postgraduate 7 6%
Student > Doctoral Student 6 5%
Other 15 13%
Unknown 9 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 65%
Biochemistry, Genetics and Molecular Biology 13 12%
Environmental Science 4 4%
Social Sciences 2 2%
Engineering 2 2%
Other 3 3%
Unknown 15 13%