Considerations and complications of mapping small RNA high-throughput data to transposable elements
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F17%3A00095710" target="_blank" >RIV/00216224:14740/17:00095710 - isvavai.cz</a>
Result on the web
<a href="https://mobilednajournal.biomedcentral.com/track/pdf/10.1186/s13100-017-0086-z?site=mobilednajournal.biomedcentral.com" target="_blank" >https://mobilednajournal.biomedcentral.com/track/pdf/10.1186/s13100-017-0086-z?site=mobilednajournal.biomedcentral.com</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1186/s13100-017-0086-z" target="_blank" >10.1186/s13100-017-0086-z</a>
Alternative languages
Result language
angličtina
Original language name
Considerations and complications of mapping small RNA high-throughput data to transposable elements
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10603 - Genetics and heredity (medical genetics to be 3)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mobile DNA
ISSN
1759-8753
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
FEB
Country of publishing house
GB - UNITED KINGDOM
Number of pages
13
Pages from-to
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UT code for WoS article
000397749300001
EID of the result in the Scopus database
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