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Complete genome sequence analysis of the Malacosoma neustria nucleopolyhedrovirus from Turkey

Overview of attention for article published in Virus Genes, August 2018
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Title
Complete genome sequence analysis of the Malacosoma neustria nucleopolyhedrovirus from Turkey
Published in
Virus Genes, August 2018
DOI 10.1007/s11262-018-1595-7
Pubmed ID
Authors

Donus Gencer, Remziye Nalcacioglu, Zihni Demirbag, Ismail Demir

Abstract

The lackey moth, Malacosoma neustria (Linnaeus, 1758), a worldwide pest, causes extensive economic losses particularly on hazelnut, plum, oak, poplar, and willow trees. A baculovirus, Malacosoma neustria nucleopolyhedrovirus (ManeNPV-T2), has been isolated from the larvae collected in Turkey and appears to have a potential as a microbial control agent. In this study, we describe the complete genome sequence of ManeNPV-T2 and compare it to other sequenced baculovirus genomes. The ManeNPV-T2 genome is a circular double-stranded DNA molecule of 130,202 bp, has 38.2% G + C, and is predicted to contain 131 putative open reading frames (ORFs) each with a coding capacity of more then 50 amino acids. There are 27 ORFs with unknown function of which 6 are unique to ManeNPV-T2. Eleven homologous regions (hrs) and two bro genes (bro-a and bro-b) were identified in the genome. There are two homologues of chaB and nicotinamide riboside kinase-1 genes, separated from themselves with a few nucleotides. Additionally, ac145, thought to be per os infectivity factor (pif) gene, is also found as two homologues. All 38 core genes are found in the ManeNPV-T2 genome. The phylogenetic tree of ManeNPV-T2 in relation to 50 other baculoviruses whose genomes have been completely sequenced showed ManeNPV-T2 to be closely related to the group II NPVs. This study expands our knowledge on baculoviruses, describes the characterization ManeNPV, and ultimately contributes to the registration of this virus as a microbial pesticide.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Researcher 1 17%
Student > Doctoral Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 50%
Biochemistry, Genetics and Molecular Biology 1 17%
Unknown 2 33%
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 30 August 2018.
All research outputs
#20,532,290
of 23,102,082 outputs
Outputs from Virus Genes
#803
of 978 outputs
Outputs of similar age
#291,725
of 334,863 outputs
Outputs of similar age from Virus Genes
#12
of 14 outputs
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