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Genomic resources for population analyses of an invasive insect pest Oryctes rhinoceros
Over the last few years, various types of NGS data have been accumulating for the coconut rhinoceros beetle (CRB, Oryctes rhinoceros), reflecting the growing interest in curtailing this invasive pest of palm trees. Whilst reference-free analyses of RNA-seq and RAD-seq datasets have been done for dif...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090205/ https://www.ncbi.nlm.nih.gov/pubmed/37041187 http://dx.doi.org/10.1038/s41597-023-02109-y |
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author | Filipović, Igor |
author_facet | Filipović, Igor |
author_sort | Filipović, Igor |
collection | PubMed |
description | Over the last few years, various types of NGS data have been accumulating for the coconut rhinoceros beetle (CRB, Oryctes rhinoceros), reflecting the growing interest in curtailing this invasive pest of palm trees. Whilst reference-free analyses of RNA-seq and RAD-seq datasets have been done for different CRB collections, recent availability of the CRB’s genome assembly provides an opportunity to collate diverse data and create a reference-based population dataset. Here, I release such a dataset containing 6,725,935 SNPs and genotypes called across 393 individual samples from 16 populations, using the previously published raw sequences generated in 9 different experiments (RAD-Seq, RNA-Seq, WGS). I also provide reference-based datasets for the CRB’s mitochondrial variants and for variants of its viral biocontrol agent Oryctes rhinoceros nudivirus. SNP data provide high resolution for determining the geographic origin of invasive CRB. With these genomic resources, new data can be analysed without re-processing the published samples and then integrated to expand the reference datasets. |
format | Online Article Text |
id | pubmed-10090205 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100902052023-04-13 Genomic resources for population analyses of an invasive insect pest Oryctes rhinoceros Filipović, Igor Sci Data Data Descriptor Over the last few years, various types of NGS data have been accumulating for the coconut rhinoceros beetle (CRB, Oryctes rhinoceros), reflecting the growing interest in curtailing this invasive pest of palm trees. Whilst reference-free analyses of RNA-seq and RAD-seq datasets have been done for different CRB collections, recent availability of the CRB’s genome assembly provides an opportunity to collate diverse data and create a reference-based population dataset. Here, I release such a dataset containing 6,725,935 SNPs and genotypes called across 393 individual samples from 16 populations, using the previously published raw sequences generated in 9 different experiments (RAD-Seq, RNA-Seq, WGS). I also provide reference-based datasets for the CRB’s mitochondrial variants and for variants of its viral biocontrol agent Oryctes rhinoceros nudivirus. SNP data provide high resolution for determining the geographic origin of invasive CRB. With these genomic resources, new data can be analysed without re-processing the published samples and then integrated to expand the reference datasets. Nature Publishing Group UK 2023-04-11 /pmc/articles/PMC10090205/ /pubmed/37041187 http://dx.doi.org/10.1038/s41597-023-02109-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Filipović, Igor Genomic resources for population analyses of an invasive insect pest Oryctes rhinoceros |
title | Genomic resources for population analyses of an invasive insect pest Oryctes rhinoceros |
title_full | Genomic resources for population analyses of an invasive insect pest Oryctes rhinoceros |
title_fullStr | Genomic resources for population analyses of an invasive insect pest Oryctes rhinoceros |
title_full_unstemmed | Genomic resources for population analyses of an invasive insect pest Oryctes rhinoceros |
title_short | Genomic resources for population analyses of an invasive insect pest Oryctes rhinoceros |
title_sort | genomic resources for population analyses of an invasive insect pest oryctes rhinoceros |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090205/ https://www.ncbi.nlm.nih.gov/pubmed/37041187 http://dx.doi.org/10.1038/s41597-023-02109-y |
work_keys_str_mv | AT filipovicigor genomicresourcesforpopulationanalysesofaninvasiveinsectpestoryctesrhinoceros |