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A comprehensive annotation dataset of intact LTR retrotransposons of 300 plant genomes
LTR retrotransposons (LTR-RTs) are ubiquitous and represent the dominant repeat element in plant genomes, playing important roles in functional variation, genome plasticity and evolution. With the advent of new sequencing technologies, a growing number of whole-genome sequences have been made public...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282616/ https://www.ncbi.nlm.nih.gov/pubmed/34267227 http://dx.doi.org/10.1038/s41597-021-00968-x |
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author | Zhou, Shan-Shan Yan, Xue-Mei Zhang, Kai-Fu Liu, Hui Xu, Jie Nie, Shuai Jia, Kai-Hua Jiao, Si-Qian Zhao, Wei Zhao, You-Jie Porth, Ilga El Kassaby, Yousry A. Wang, Tongli Mao, Jian-Feng |
author_facet | Zhou, Shan-Shan Yan, Xue-Mei Zhang, Kai-Fu Liu, Hui Xu, Jie Nie, Shuai Jia, Kai-Hua Jiao, Si-Qian Zhao, Wei Zhao, You-Jie Porth, Ilga El Kassaby, Yousry A. Wang, Tongli Mao, Jian-Feng |
author_sort | Zhou, Shan-Shan |
collection | PubMed |
description | LTR retrotransposons (LTR-RTs) are ubiquitous and represent the dominant repeat element in plant genomes, playing important roles in functional variation, genome plasticity and evolution. With the advent of new sequencing technologies, a growing number of whole-genome sequences have been made publicly available, making it possible to carry out systematic analyses of LTR-RTs. However, a comprehensive and unified annotation of LTR-RTs in plant groups is still lacking. Here, we constructed a plant intact LTR-RTs dataset, which is designed to classify and annotate intact LTR-RTs with a standardized procedure. The dataset currently comprises a total of 2,593,685 intact LTR-RTs from genomes of 300 plant species representing 93 families of 46 orders. The dataset is accompanied by sequence, diverse structural and functional annotation, age determination and classification information associated with the LTR-RTs. This dataset will contribute valuable resources for investigating the evolutionary dynamics and functional implications of LTR-RTs in plant genomes. |
format | Online Article Text |
id | pubmed-8282616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82826162021-07-23 A comprehensive annotation dataset of intact LTR retrotransposons of 300 plant genomes Zhou, Shan-Shan Yan, Xue-Mei Zhang, Kai-Fu Liu, Hui Xu, Jie Nie, Shuai Jia, Kai-Hua Jiao, Si-Qian Zhao, Wei Zhao, You-Jie Porth, Ilga El Kassaby, Yousry A. Wang, Tongli Mao, Jian-Feng Sci Data Data Descriptor LTR retrotransposons (LTR-RTs) are ubiquitous and represent the dominant repeat element in plant genomes, playing important roles in functional variation, genome plasticity and evolution. With the advent of new sequencing technologies, a growing number of whole-genome sequences have been made publicly available, making it possible to carry out systematic analyses of LTR-RTs. However, a comprehensive and unified annotation of LTR-RTs in plant groups is still lacking. Here, we constructed a plant intact LTR-RTs dataset, which is designed to classify and annotate intact LTR-RTs with a standardized procedure. The dataset currently comprises a total of 2,593,685 intact LTR-RTs from genomes of 300 plant species representing 93 families of 46 orders. The dataset is accompanied by sequence, diverse structural and functional annotation, age determination and classification information associated with the LTR-RTs. This dataset will contribute valuable resources for investigating the evolutionary dynamics and functional implications of LTR-RTs in plant genomes. Nature Publishing Group UK 2021-07-15 /pmc/articles/PMC8282616/ /pubmed/34267227 http://dx.doi.org/10.1038/s41597-021-00968-x Text en © The Author(s) 2021 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/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Zhou, Shan-Shan Yan, Xue-Mei Zhang, Kai-Fu Liu, Hui Xu, Jie Nie, Shuai Jia, Kai-Hua Jiao, Si-Qian Zhao, Wei Zhao, You-Jie Porth, Ilga El Kassaby, Yousry A. Wang, Tongli Mao, Jian-Feng A comprehensive annotation dataset of intact LTR retrotransposons of 300 plant genomes |
title | A comprehensive annotation dataset of intact LTR retrotransposons of 300 plant genomes |
title_full | A comprehensive annotation dataset of intact LTR retrotransposons of 300 plant genomes |
title_fullStr | A comprehensive annotation dataset of intact LTR retrotransposons of 300 plant genomes |
title_full_unstemmed | A comprehensive annotation dataset of intact LTR retrotransposons of 300 plant genomes |
title_short | A comprehensive annotation dataset of intact LTR retrotransposons of 300 plant genomes |
title_sort | comprehensive annotation dataset of intact ltr retrotransposons of 300 plant genomes |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282616/ https://www.ncbi.nlm.nih.gov/pubmed/34267227 http://dx.doi.org/10.1038/s41597-021-00968-x |
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