Long Non-coding RNAs in the Human Genome Acquired by Horizontal Gene Transfer

Q3 Computer Science
R. Pierneef, F. Clasen, Oliver Bezuidt, O. Reva
{"title":"Long Non-coding RNAs in the Human Genome Acquired by Horizontal Gene Transfer","authors":"R. Pierneef, F. Clasen, Oliver Bezuidt, O. Reva","doi":"10.2174/1875036201811010182","DOIUrl":null,"url":null,"abstract":"\n \n Horizontal gene transfer of mobile genetic elements is an essential component of prokaryotic evolution. These insertion events in eukaryotes and particularly in the human genome have been investigated by various methodologies with varying results.\n \n \n \n In this paper, we implement a sequence composition approach to investigate insertions of genomic islands in the human genome.\n \n \n \n A modified version of a prokaryotic GI identifier, SeqWord Gene Island Sniffer v.2.0, was used to predict genomic islands in the hg38 version of the human genome.\n \n \n \n Predicted genomic islands were enriched with long non-coding RNAs and also contributed to the acquisition and modification of proteins associated with the immune system and gonad development, albeit to a lesser extent. The estimated rate of acquisition of these genomic islands in vertebrate genomes was non-linear with regards to species divergence times with an acceleration at the time of vertebrate land invasion and during the transition of prosimians to monkeys soon after the Cretaceous-Paleogene extinction.\n \n \n \n The rapid acquisition of non-conserved long non-coding RNAs in the human genome and probably in vertebrata genomes was facilitated by horizontal gene transfer. All predicted human genomic islands and supporting information are freely accessible from http://hislands.bi.up.ac.za.\n","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Bioinformatics Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1875036201811010182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 1

Abstract

Horizontal gene transfer of mobile genetic elements is an essential component of prokaryotic evolution. These insertion events in eukaryotes and particularly in the human genome have been investigated by various methodologies with varying results. In this paper, we implement a sequence composition approach to investigate insertions of genomic islands in the human genome. A modified version of a prokaryotic GI identifier, SeqWord Gene Island Sniffer v.2.0, was used to predict genomic islands in the hg38 version of the human genome. Predicted genomic islands were enriched with long non-coding RNAs and also contributed to the acquisition and modification of proteins associated with the immune system and gonad development, albeit to a lesser extent. The estimated rate of acquisition of these genomic islands in vertebrate genomes was non-linear with regards to species divergence times with an acceleration at the time of vertebrate land invasion and during the transition of prosimians to monkeys soon after the Cretaceous-Paleogene extinction. The rapid acquisition of non-conserved long non-coding RNAs in the human genome and probably in vertebrata genomes was facilitated by horizontal gene transfer. All predicted human genomic islands and supporting information are freely accessible from http://hislands.bi.up.ac.za.
通过水平基因转移获得的人类基因组中的长非编码RNA
移动遗传元件的水平基因转移是原核进化的重要组成部分。在真核生物中,特别是在人类基因组中,这些插入事件已经通过各种方法进行了研究,结果各不相同。在本文中,我们实现了一种序列组成方法来研究人类基因组中基因组岛的插入。原核GI标识符的修改版本SeqWord基因岛Sniffer v.2.0被用于预测人类基因组hg38版本中的基因组岛。预测的基因组岛富含长的非编码RNA,也有助于获得和修饰与免疫系统和性腺发育相关的蛋白质,尽管程度较低。脊椎动物基因组中这些基因组岛的估计获取率与物种分化时间有关是非线性的,在脊椎动物入侵陆地时以及白垩纪-古近纪灭绝后不久原体向猴子过渡期间,这种速度加快。水平基因转移促进了在人类基因组中以及可能在脊椎动物基因组中快速获得非保守的长非编码RNA。所有预测的人类基因组岛和支持信息都可以从http://hislands.bi.up.ac.za.
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Open Bioinformatics Journal
Open Bioinformatics Journal Computer Science-Computer Science (miscellaneous)
CiteScore
2.40
自引率
0.00%
发文量
4
期刊介绍: The Open Bioinformatics Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, letters, clinical trial studies and guest edited single topic issues in all areas of bioinformatics and computational biology. The coverage includes biomedicine, focusing on large data acquisition, analysis and curation, computational and statistical methods for the modeling and analysis of biological data, and descriptions of new algorithms and databases. The Open Bioinformatics Journal, a peer reviewed journal, is an important and reliable source of current information on the developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信