Detailed Information on Publication Record
2017
Considerations and complications of mapping small RNA high-throughput data to transposable elements
BOUSIOS, A., B.S. GAUT and Nikos DARZENTASBasic 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
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10603 Genetics and heredity
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 5.891
RIV identification code
RIV/00216224:14740/17:00095710
Organization unit
Central European Institute of Technology
UT WoS
000397749300001
Keywords in English
Transposable elements; Small RNAs; High-throughput sequencing; siRNAs; Genome mapping; Annotation; Bioinformatics; RNA-seq
Tags
International impact, Reviewed
Změněno: 15/3/2018 14:47, Mgr. Pavla Foltynová, Ph.D.
Abstract
V originále
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 project |
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LQ1601, research and development project |
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NV16-34272A, research and development project |
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