2017
Considerations and complications of mapping small RNA high-throughput data to transposable elements
BOUSIOS, A., B.S. GAUT a Nikos DARZENTASZákladní údaje
Originální název
Considerations and complications of mapping small RNA high-throughput data to transposable elements
Autoři
BOUSIOS, A. (826 Velká Británie a Severní Irsko), B.S. GAUT (840 Spojené státy) a Nikos DARZENTAS (300 Řecko, garant, domácí)
Vydání
Mobile DNA, LONDON, BioMed Central, 2017, 1759-8753
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10603 Genetics and heredity
Stát vydavatele
Velká Británie a Severní Irsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 5.891
Kód RIV
RIV/00216224:14740/17:00095710
Organizační jednotka
Středoevropský technologický institut
UT WoS
000397749300001
Klíčová slova anglicky
Transposable elements; Small RNAs; High-throughput sequencing; siRNAs; Genome mapping; Annotation; Bioinformatics; RNA-seq
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 15. 3. 2018 14:47, Mgr. Pavla Foltynová, Ph.D.
Anotace
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.
Návaznosti
ED3.2.00/08.0144, projekt VaV |
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LQ1601, projekt VaV |
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NV16-34272A, projekt VaV |
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