Application of next‐generation sequencing to the study of non‐model insects
書誌事項
- タイトル別名
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- Application of next-generation sequencing to the study of non-model insects
- 公開日
- 2018-03
- 資源種別
- journal article
- 権利情報
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- © 2017 The Entomological Society of Japan. This is the peer reviewed version of the following article: [Entomological Science, 21(1):3-11, 2018], which has been published in final form at https://doi.org/10.1111/ens.12281. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
- DOI
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- 10.1111/ens.12281
- 公開者
- Wiley
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説明
Recent developments in, and widespread availability of, platforms, technologies, and computer software and hardware have enhanced the use of genetic markers to address major scientific questions in non-model organisms, even by researchers with limited expertise in genomics. However, there are few studies investigating the genomes of non-model insects using these approaches. This review discusses the application of next-generation sequencing (NGS) technologies to the study of genomes of wild organisms. We first introduce currently available NGS-based methods-including restriction site-associated DNA sequencing; multiplexed inter-simple sequence repeat genotyping by sequencing; target capture; and amplicon, transcriptome, and whole genome sequencing-as useful tools for studies of non-model insects. We also provide guidelines for first-time users of NGS systems. In addition to the massive amount of information that it provides, a major advantage of NGS data is the scalability to future research projects. Studies using NGS technology can answer questions related to basic entomology by focusing on the unique nature of non-model insects in wild environments in a way that is not possible for model organisms.
収録刊行物
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- Entomological Science
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Entomological Science 21 (1), 3-11, 2018-03
Wiley
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キーワード
詳細情報 詳細情報について
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- CRID
- 1050294045369643264
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- NII論文ID
- 120006634978
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- ISSN
- 14798298
- 13438786
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- HANDLE
- 20.500.14094/90006048
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- 本文言語コード
- en
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- 資料種別
- journal article
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- データソース種別
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- IRDB
- Crossref
- CiNii Articles
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- OpenAIRE

