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The landscape and structural diversity of LTR retrotransposons in Musa genome

Overview of attention for article published in Molecular Genetics and Genomics, June 2017
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Title
The landscape and structural diversity of LTR retrotransposons in Musa genome
Published in
Molecular Genetics and Genomics, June 2017
DOI 10.1007/s00438-017-1333-1
Pubmed ID
Authors

Faisal Nouroz, Shumaila Noreen, Habib Ahmad, J. S. Pat Heslop-Harrison

Abstract

Long terminal repeat retrotransposons represent a major component of plant genomes and act as drivers of genome evolution and diversity. Musa is an important fruit crop and also used as a starchy vegetable in many countries. BAC sequence analysis by dot plot was employed to investigate the LTR retrotransposons from Musa genomes. Fifty intact LTR retrotransposons from selected Musa BACs were identified by dot plot analysis and further BLASTN searches retrieved 153 intact copies, 61 truncated, and a great number of partial copies/remnants from GenBank database. LARD-like elements were also identified with several copies dispersed among the Musa genotypes. The predominant elements were the LTR retrotransposons Copia and Gypsy, while Caulimoviridae (pararetrovirus) were rare in the Musa genome. PCR amplification of reverse transcriptase (RT) sequences revealed their abundance in almost all tested Musa accessions and their ancient nature before the divergence of Musa species. The phylogenetic analysis based on RT sequences of Musa and other retrotransposons clustered them into Gypsy, Caulimoviridae, and Copia lineages. Most of the Musa-related elements clustered in their respective groups, while some grouped with other elements indicating homologous sequences. The present work will be helpful to understand the LTR retrotransposons landscape, giving a complete picture of the nature of the elements, their structural features, annotation, and evolutionary dynamics in the Musa genome.

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Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Student > Bachelor 4 13%
Student > Ph. D. Student 4 13%
Student > Master 3 10%
Other 3 10%
Other 5 17%
Unknown 6 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 47%
Biochemistry, Genetics and Molecular Biology 7 23%
Computer Science 1 3%
Engineering 1 3%
Unknown 7 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 March 2018.
All research outputs
#14,918,049
of 25,382,440 outputs
Outputs from Molecular Genetics and Genomics
#2,593
of 3,321 outputs
Outputs of similar age
#167,960
of 331,653 outputs
Outputs of similar age from Molecular Genetics and Genomics
#5
of 20 outputs
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