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Preserving plant samples from remote locations for detection of RNA and DNA viruses
Viral diseases in plants have a significant impact on agricultural productivity. Effective detection is needed to facilitate accurate diagnosis and characterization of virus infections essential for crop protection and disease management. For sensitive polymerase chain reaction (PCR)-based methods,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453036/ https://www.ncbi.nlm.nih.gov/pubmed/36090110 http://dx.doi.org/10.3389/fmicb.2022.930329 |
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author | Hamim, Islam Suzuki, Jon Y. Borth, Wayne B. Melzer, Michael J. Wall, Marisa M. Hu, John S. |
author_facet | Hamim, Islam Suzuki, Jon Y. Borth, Wayne B. Melzer, Michael J. Wall, Marisa M. Hu, John S. |
author_sort | Hamim, Islam |
collection | PubMed |
description | Viral diseases in plants have a significant impact on agricultural productivity. Effective detection is needed to facilitate accurate diagnosis and characterization of virus infections essential for crop protection and disease management. For sensitive polymerase chain reaction (PCR)-based methods, it is important to preserve the integrity of nucleic acids in plant tissue samples. This is especially critical when samples are collected from isolated areas, regions distant from a laboratory, or in developing countries that lack appropriate facilities or equipment for diagnostic analyses. RNAlater(®) provides effective, reliable sample storage by stabilizing both RNA and DNA in plant tissue samples. Our work indicated that total RNA or DNA extracted from virus-infected leaf samples preserved in RNAlater(®) was suitable for reverse transcription polymerase chain reaction (RT-PCR), PCR, Sanger sequencing, high-throughput sequencing (HTS), and enzyme-linked immunosorbent assay (ELISA)-based diagnostic analyses. We demonstrated the effectiveness of this technology using leaf tissue samples from plants with virus symptoms grown in farmers’ fields in Bangladesh. The results revealed that RNAlater(®) technology was effective for detection and characterization of viruses from samples collected from remote areas and stored for extended periods. Adoption of this technology by developing countries with limited laboratory facilities could greatly increase their capacity to detect and diagnose viral infections in crop plants using modern analytical techniques. |
format | Online Article Text |
id | pubmed-9453036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94530362022-09-09 Preserving plant samples from remote locations for detection of RNA and DNA viruses Hamim, Islam Suzuki, Jon Y. Borth, Wayne B. Melzer, Michael J. Wall, Marisa M. Hu, John S. Front Microbiol Microbiology Viral diseases in plants have a significant impact on agricultural productivity. Effective detection is needed to facilitate accurate diagnosis and characterization of virus infections essential for crop protection and disease management. For sensitive polymerase chain reaction (PCR)-based methods, it is important to preserve the integrity of nucleic acids in plant tissue samples. This is especially critical when samples are collected from isolated areas, regions distant from a laboratory, or in developing countries that lack appropriate facilities or equipment for diagnostic analyses. RNAlater(®) provides effective, reliable sample storage by stabilizing both RNA and DNA in plant tissue samples. Our work indicated that total RNA or DNA extracted from virus-infected leaf samples preserved in RNAlater(®) was suitable for reverse transcription polymerase chain reaction (RT-PCR), PCR, Sanger sequencing, high-throughput sequencing (HTS), and enzyme-linked immunosorbent assay (ELISA)-based diagnostic analyses. We demonstrated the effectiveness of this technology using leaf tissue samples from plants with virus symptoms grown in farmers’ fields in Bangladesh. The results revealed that RNAlater(®) technology was effective for detection and characterization of viruses from samples collected from remote areas and stored for extended periods. Adoption of this technology by developing countries with limited laboratory facilities could greatly increase their capacity to detect and diagnose viral infections in crop plants using modern analytical techniques. Frontiers Media S.A. 2022-08-25 /pmc/articles/PMC9453036/ /pubmed/36090110 http://dx.doi.org/10.3389/fmicb.2022.930329 Text en Copyright © 2022 Hamim, Suzuki, Borth, Melzer, Wall and Hu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Hamim, Islam Suzuki, Jon Y. Borth, Wayne B. Melzer, Michael J. Wall, Marisa M. Hu, John S. Preserving plant samples from remote locations for detection of RNA and DNA viruses |
title | Preserving plant samples from remote locations for detection of RNA and DNA viruses |
title_full | Preserving plant samples from remote locations for detection of RNA and DNA viruses |
title_fullStr | Preserving plant samples from remote locations for detection of RNA and DNA viruses |
title_full_unstemmed | Preserving plant samples from remote locations for detection of RNA and DNA viruses |
title_short | Preserving plant samples from remote locations for detection of RNA and DNA viruses |
title_sort | preserving plant samples from remote locations for detection of rna and dna viruses |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453036/ https://www.ncbi.nlm.nih.gov/pubmed/36090110 http://dx.doi.org/10.3389/fmicb.2022.930329 |
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