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Comprehensive transcriptome analysis of Sarcophaga peregrina, a forensically important fly species
Sarcophaga peregrina (flesh fly) is a frequently found fly species in Palaearctic, Oriental, and Australasian regions that can be used to estimate minimal postmortem intervals important for forensic investigations. Despite its forensic importance, the genome information of S. peregrina has not been...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219405/ https://www.ncbi.nlm.nih.gov/pubmed/30398471 http://dx.doi.org/10.1038/sdata.2018.220 |
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author | Kim, Ji Yeon Lim, Hye Young Shin, Sang Eon Cha, Hyo Kyeong Seo, Jeong-Han Kim, Suel-Kee Park, Seong Hwan Son, Gi Hoon |
author_facet | Kim, Ji Yeon Lim, Hye Young Shin, Sang Eon Cha, Hyo Kyeong Seo, Jeong-Han Kim, Suel-Kee Park, Seong Hwan Son, Gi Hoon |
author_sort | Kim, Ji Yeon |
collection | PubMed |
description | Sarcophaga peregrina (flesh fly) is a frequently found fly species in Palaearctic, Oriental, and Australasian regions that can be used to estimate minimal postmortem intervals important for forensic investigations. Despite its forensic importance, the genome information of S. peregrina has not been fully described. Therefore, we generated a comprehensive gene expression dataset using RNA sequencing and carried out de novo assembly to characterize the S. peregrina transcriptome. We obtained precise sequence information for RNA transcripts using two different methods. Based on primary sequence information, we identified sets of assembled unigenes and predicted coding sequences. Functional annotation of the aligned unigenes was performed using the UniProt, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes databases. As a result, 26,580,352 and 83,221 raw reads were obtained using the Illumina MiSeq and Pacbio RS II Iso-Seq sequencing applications, respectively. From these reads, 55,730 contigs were successfully annotated. The present study provides the resulting genome information of S. peregrina, which is valuable for forensic applications. |
format | Online Article Text |
id | pubmed-6219405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-62194052018-11-07 Comprehensive transcriptome analysis of Sarcophaga peregrina, a forensically important fly species Kim, Ji Yeon Lim, Hye Young Shin, Sang Eon Cha, Hyo Kyeong Seo, Jeong-Han Kim, Suel-Kee Park, Seong Hwan Son, Gi Hoon Sci Data Data Descriptor Sarcophaga peregrina (flesh fly) is a frequently found fly species in Palaearctic, Oriental, and Australasian regions that can be used to estimate minimal postmortem intervals important for forensic investigations. Despite its forensic importance, the genome information of S. peregrina has not been fully described. Therefore, we generated a comprehensive gene expression dataset using RNA sequencing and carried out de novo assembly to characterize the S. peregrina transcriptome. We obtained precise sequence information for RNA transcripts using two different methods. Based on primary sequence information, we identified sets of assembled unigenes and predicted coding sequences. Functional annotation of the aligned unigenes was performed using the UniProt, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes databases. As a result, 26,580,352 and 83,221 raw reads were obtained using the Illumina MiSeq and Pacbio RS II Iso-Seq sequencing applications, respectively. From these reads, 55,730 contigs were successfully annotated. The present study provides the resulting genome information of S. peregrina, which is valuable for forensic applications. Nature Publishing Group 2018-11-06 /pmc/articles/PMC6219405/ /pubmed/30398471 http://dx.doi.org/10.1038/sdata.2018.220 Text en Copyright © 2018, The Author(s) http://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/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Kim, Ji Yeon Lim, Hye Young Shin, Sang Eon Cha, Hyo Kyeong Seo, Jeong-Han Kim, Suel-Kee Park, Seong Hwan Son, Gi Hoon Comprehensive transcriptome analysis of Sarcophaga peregrina, a forensically important fly species |
title | Comprehensive transcriptome analysis of Sarcophaga peregrina, a forensically important fly species |
title_full | Comprehensive transcriptome analysis of Sarcophaga peregrina, a forensically important fly species |
title_fullStr | Comprehensive transcriptome analysis of Sarcophaga peregrina, a forensically important fly species |
title_full_unstemmed | Comprehensive transcriptome analysis of Sarcophaga peregrina, a forensically important fly species |
title_short | Comprehensive transcriptome analysis of Sarcophaga peregrina, a forensically important fly species |
title_sort | comprehensive transcriptome analysis of sarcophaga peregrina, a forensically important fly species |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219405/ https://www.ncbi.nlm.nih.gov/pubmed/30398471 http://dx.doi.org/10.1038/sdata.2018.220 |
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