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Genome-wide characterization of non-reference transposons in crops suggests non-random insertion

Overview of attention for article published in BMC Genomics, August 2016
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Title
Genome-wide characterization of non-reference transposons in crops suggests non-random insertion
Published in
BMC Genomics, August 2016
DOI 10.1186/s12864-016-2847-3
Pubmed ID
Authors

Bin Wei, Hanmei Liu, Xin Liu, Qianlin Xiao, Yongbin Wang, Junjie Zhang, Yufeng Hu, Yinghong Liu, Guowu Yu, Yubi Huang

Abstract

Transposons (transposable elements or TEs) are DNA sequences that can change their position within the genome. A large number of TEs have been identified in reference genome of each crop(named accumulated TEs), which are the important part of genome. However, whether there existed TEs with different insert positions in resequenced crop accession genomes from those of reference genome (named non-reference transposable elements, non-ref TEs), and what the characteristics (such as the number, type and distribution) are. To identify and characterize crop non-ref TEs, we analyzed non-ref TEs in more than 125 accessions from rice (Oryza sativa), maize (Zea mays) and sorghum (Sorghum bicolor) using resequenced data with paired-end mapping methods. We identified 13,066, 23,866 and 35,679 non-ref TEs in rice, maize and sorghum, respectively. Genome-wide characterization analysis shows that most of non-ref TEs were unique and non-ref TE classes shows different among rice, maize and sorghum. We found that non-ref TEs have a strong positive correlation with gene number and have a bias toward insertion near genes, but with a preference for avoiding coding regions in maize and sorghum. The genes affected by non-ref TE insertion were functionally enriched for stress response mechanisms in all three crops. These observations suggest that transposon insertion is not a random event and it makes genomic diversity, which may affect the intraspecific adaption and evolution of crops.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
Germany 1 2%
Australia 1 2%
France 1 2%
Canada 1 2%
United States 1 2%
Unknown 55 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 31%
Student > Ph. D. Student 15 24%
Student > Master 5 8%
Student > Bachelor 5 8%
Lecturer > Senior Lecturer 2 3%
Other 7 11%
Unknown 9 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 61%
Biochemistry, Genetics and Molecular Biology 8 13%
Computer Science 2 3%
Engineering 2 3%
Social Sciences 1 2%
Other 0 0%
Unknown 11 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 August 2016.
All research outputs
#18,466,751
of 22,881,964 outputs
Outputs from BMC Genomics
#8,195
of 10,666 outputs
Outputs of similar age
#283,793
of 366,909 outputs
Outputs of similar age from BMC Genomics
#217
of 269 outputs
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