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In silico MCMV Silencing Concludes Potential Host-Derived miRNAs in Maize

Overview of attention for article published in Frontiers in Plant Science, March 2017
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Title
In silico MCMV Silencing Concludes Potential Host-Derived miRNAs in Maize
Published in
Frontiers in Plant Science, March 2017
DOI 10.3389/fpls.2017.00372
Pubmed ID
Authors

Muhammad Shahzad Iqbal, Basit Jabbar, Muhammad Nauman Sharif, Qurban Ali, Tayyab Husnain, Idrees A. Nasir

Abstract

Maize Chlorotic Mottle Virus (MCMV) is a deleterious pathogen which causes Maize Lethal Necrosis Disease (MLND) that results in substantial yield loss of Maize crop worldwide. The positive-sense RNA genome of MCMV (4.4 kb) encodes six proteins: P32 (32 kDa protein), RNA dependent RNA polymerases (P50 and P111), P31 (31 kDa protein), P7 (7 kDa protein), coat protein (25 kDa). P31, P7 and coat protein are encoded from sgRNA1, located at the 3'end of the genome and sgRNA2 is located at the extremity of the 3'genome end. The objective of this study is to locate the possible attachment sites of Zea mays derived miRNAs in the genome of MCMV using four diverse miRNA target prediction algorithms. In total, 321 mature miRNAs were retrieved from miRBase (miRNA database) and were tested for hybridization of MCMV genome. These algorithms considered the parameters of seed pairing, minimum free energy, target site accessibility, multiple target sites, pattern recognition and folding energy for attachment. Out of 321 miRNAs only 10 maize miRNAs are predicted for silencing of MCMV genome. The results of this study can hence act as the first step towards the development of MCMV resistant transgenic Maize plants through expression of the selected miRNAs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 30%
Student > Bachelor 4 15%
Researcher 4 15%
Student > Ph. D. Student 4 15%
Student > Doctoral Student 1 4%
Other 2 7%
Unknown 4 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 30%
Biochemistry, Genetics and Molecular Biology 6 22%
Engineering 3 11%
Computer Science 2 7%
Earth and Planetary Sciences 1 4%
Other 1 4%
Unknown 6 22%
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 13 April 2017.
All research outputs
#20,413,129
of 22,963,381 outputs
Outputs from Frontiers in Plant Science
#16,287
of 20,392 outputs
Outputs of similar age
#268,920
of 308,503 outputs
Outputs of similar age from Frontiers in Plant Science
#447
of 535 outputs
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