BOUSIOS, A., B.S. GAUT and Nikos DARZENTAS. Considerations and complications of mapping small RNA high-throughput data to transposable elements. Mobile DNA. LONDON: BioMed Central, 2017, vol. 8, FEB, p. nestránkováno, 13 pp. ISSN 1759-8753. Available from: https://dx.doi.org/10.1186/s13100-017-0086-z.
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Basic information
Original name Considerations and complications of mapping small RNA high-throughput data to transposable elements
Authors BOUSIOS, A. (826 United Kingdom of Great Britain and Northern Ireland), B.S. GAUT (840 United States of America) and Nikos DARZENTAS (300 Greece, guarantor, belonging to the institution).
Edition Mobile DNA, LONDON, BioMed Central, 2017, 1759-8753.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10603 Genetics and heredity
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 5.891
RIV identification code RIV/00216224:14740/17:00095710
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.1186/s13100-017-0086-z
UT WoS 000397749300001
Keywords in English Transposable elements; Small RNAs; High-throughput sequencing; siRNAs; Genome mapping; Annotation; Bioinformatics; RNA-seq
Tags OA, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Pavla Foltynová, Ph.D., učo 106624. Changed: 15/3/2018 14:47.
Abstract
Background: High-throughput sequencing (HTS) has revolutionized the way in which epigenetic research is conducted. When coupled with fully-sequenced genomes, millions of small RNA (sRNA) reads are mapped to regions of interest and the results scrutinized for clues about epigenetic mechanisms. However, this approach requires careful consideration in regards to experimental design, especially when one investigates repetitive parts of genomes such as transposable elements (TEs), or when such genomes are large, as is often the case in plants. Results: Here, in an attempt to shed light on complications of mapping sRNAs to TEs, we focus on the 2,300 Mb maize genome, 85% of which is derived from TEs, and scrutinize methodological strategies that are commonly employed in TE studies. These include choices for the reference dataset, the normalization of multiply mapping sRNAs, and the selection among sRNA metrics. We further examine how these choices influence the relationship between sRNAs and the critical feature of TE age, and contrast their effect on low copy genomic regions and other popular HTS data. Conclusions: Based on our analyses, we share a series of take-home messages that may help with the design, implementation, and interpretation of high-throughput TE epigenetic studies specifically, but our conclusions may also apply to any work that involves analysis of HTS data.
Links
ED3.2.00/08.0144, research and development projectName: CERIT Scientific Cloud
LQ1601, research and development projectName: CEITEC 2020 (Acronym: CEITEC2020)
Investor: Ministry of Education, Youth and Sports of the CR
NV16-34272A, research and development projectName: Encyklopedie CLL podskupin: unikátní znalostní databáze vybavená bioinformatickými nástroji použitelná v personalizované biomedicíně a klinické praxi
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