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Computational and biological characterization of fusion proteins of two insecticidal proteins for control of insect pests
Sucking pests pose a serious agricultural challenge, as available transgenic technologies such as Bacillus thuringiensis crystal toxins (Bt) are not effective against them. One approach is to produce fusion protein toxins for the control of these pests. Two protein toxins, Hvt (ω-atracotoxin from Ha...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859112/ https://www.ncbi.nlm.nih.gov/pubmed/29556063 http://dx.doi.org/10.1038/s41598-018-23138-3 |
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author | Javaid, Shaista Naz, Sehrish Amin, Imran Jander, Georg Ul-Haq, Zaheer Mansoor, Shahid |
author_facet | Javaid, Shaista Naz, Sehrish Amin, Imran Jander, Georg Ul-Haq, Zaheer Mansoor, Shahid |
author_sort | Javaid, Shaista |
collection | PubMed |
description | Sucking pests pose a serious agricultural challenge, as available transgenic technologies such as Bacillus thuringiensis crystal toxins (Bt) are not effective against them. One approach is to produce fusion protein toxins for the control of these pests. Two protein toxins, Hvt (ω-atracotoxin from Hadronyche versuta) and onion leaf lectin, were translationally fused to evaluate the negative effects of fusion proteins on Phenacoccus solenopsis (mealybug), a phloem-feeding insect pest. Hvt was cloned both N-terminally (HL) and then C-terminally (LH) in the fusion protein constructs, which were expressed transiently in Nicotiana tabacum using a Potato Virus X (PVX) vector. The HL fusion protein was found to be more effective against P. solenopsis, with an 83% mortality rate, as compared to the LH protein, which caused 65% mortality. Hvt and lectin alone caused 42% and 45%, respectively, under the same conditions. Computational studies of both fusion proteins showed that the HL protein is more stable than the LH protein. Together, these results demonstrate that translational fusion of two insecticidal proteins improved the insecticidal activity relative to each protein individually and could be expressed in transgenic plants for effective control of sucking pests. |
format | Online Article Text |
id | pubmed-5859112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58591122018-03-20 Computational and biological characterization of fusion proteins of two insecticidal proteins for control of insect pests Javaid, Shaista Naz, Sehrish Amin, Imran Jander, Georg Ul-Haq, Zaheer Mansoor, Shahid Sci Rep Article Sucking pests pose a serious agricultural challenge, as available transgenic technologies such as Bacillus thuringiensis crystal toxins (Bt) are not effective against them. One approach is to produce fusion protein toxins for the control of these pests. Two protein toxins, Hvt (ω-atracotoxin from Hadronyche versuta) and onion leaf lectin, were translationally fused to evaluate the negative effects of fusion proteins on Phenacoccus solenopsis (mealybug), a phloem-feeding insect pest. Hvt was cloned both N-terminally (HL) and then C-terminally (LH) in the fusion protein constructs, which were expressed transiently in Nicotiana tabacum using a Potato Virus X (PVX) vector. The HL fusion protein was found to be more effective against P. solenopsis, with an 83% mortality rate, as compared to the LH protein, which caused 65% mortality. Hvt and lectin alone caused 42% and 45%, respectively, under the same conditions. Computational studies of both fusion proteins showed that the HL protein is more stable than the LH protein. Together, these results demonstrate that translational fusion of two insecticidal proteins improved the insecticidal activity relative to each protein individually and could be expressed in transgenic plants for effective control of sucking pests. Nature Publishing Group UK 2018-03-19 /pmc/articles/PMC5859112/ /pubmed/29556063 http://dx.doi.org/10.1038/s41598-018-23138-3 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Javaid, Shaista Naz, Sehrish Amin, Imran Jander, Georg Ul-Haq, Zaheer Mansoor, Shahid Computational and biological characterization of fusion proteins of two insecticidal proteins for control of insect pests |
title | Computational and biological characterization of fusion proteins of two insecticidal proteins for control of insect pests |
title_full | Computational and biological characterization of fusion proteins of two insecticidal proteins for control of insect pests |
title_fullStr | Computational and biological characterization of fusion proteins of two insecticidal proteins for control of insect pests |
title_full_unstemmed | Computational and biological characterization of fusion proteins of two insecticidal proteins for control of insect pests |
title_short | Computational and biological characterization of fusion proteins of two insecticidal proteins for control of insect pests |
title_sort | computational and biological characterization of fusion proteins of two insecticidal proteins for control of insect pests |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859112/ https://www.ncbi.nlm.nih.gov/pubmed/29556063 http://dx.doi.org/10.1038/s41598-018-23138-3 |
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