Abstract
The study of small RNAs (sRNAs) by next-generation sequencing (NGS) is challenged by bias issues during library preparation. Several types of sRNAs such as plant microRNAs (miRNAs) carry a 2′-O-methyl (2′-OMe) modification at their 3′ terminal nucleotide. This modification adds another level of difficulty as it inhibits 3′ adapter ligation. We previously demonstrated that modified versions of the “TruSeq (TS)” protocol have less bias and an improved detection of 2′-OMe RNAs. Here we describe in detail protocol “TS5,” which showed the best overall performance. We also provide guidelines for bioinformatics analysis of the sequencing data.
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References
Ghildiyal M, Zamore PD (2009) Small silencing RNAs: an expanding universe. Nat Rev Genet 10(2):94–108. https://doi.org/10.1038/nrg2504
Chang TC, Mendell JT (2007) microRNAs in vertebrate physiology and human disease. Annu Rev Genomics Hum Genet 8:215–239. https://doi.org/10.1146/annurev.genom.8.080706.092351
Zhuang F, Fuchs RT, Robb GB (2012) Small RNA expression profiling by high-throughput sequencing: implications of enzymatic manipulation. J Nucleic Acids 2012:360358. https://doi.org/10.1155/2012/360358
van Dijk EL, Jaszczyszyn Y, Thermes C (2014) Library preparation methods for next-generation sequencing: tone down the bias. Exp Cell Res 322(1):12–20. https://doi.org/10.1016/j.yexcr.2014.01.008
Munafo DB, Robb GB (2010) Optimization of enzymatic reaction conditions for generating representative pools of cDNA from small RNA. RNA 16(12):2537–2552. https://doi.org/10.1261/rna.2242610
Hafner M, Renwick N, Brown M, Mihailovic A, Holoch D, Lin C, Pena JT, Nusbaum JD, Morozov P, Ludwig J, Ojo T, Luo S, Schroth G, Tuschl T (2011) RNA-ligase-dependent biases in miRNA representation in deep-sequenced small RNA cDNA libraries. RNA 17(9):1697–1712. https://doi.org/10.1261/rna.2799511
Sorefan K, Pais H, Hall AE, Kozomara A, Griffiths-Jones S, Moulton V, Dalmay T (2012) Reducing ligation bias of small RNAs in libraries for next generation sequencing. Silence 3(1):4. https://doi.org/10.1186/1758-907X-3-4
Sun G, Wu X, Wang J, Li H, Li X, Gao H, Rossi J, Yen Y (2011) A bias-reducing strategy in profiling small RNAs using Solexa. RNA 17(12):2256–2262. https://doi.org/10.1261/rna.028621.111
Jayaprakash AD, Jabado O, Brown BD, Sachidanandam R (2011) Identification and remediation of biases in the activity of RNA ligases in small-RNA deep sequencing. Nucleic Acids Res 39(21):e141. https://doi.org/10.1093/nar/gkr693
Zhuang F, Fuchs RT, Sun Z, Zheng Y, Robb GB (2012) Structural bias in T4 RNA ligase-mediated 3′-adapter ligation. Nucleic Acids Res 40(7):e54. https://doi.org/10.1093/nar/gkr1263
Fuchs RT, Sun Z, Zhuang F, Robb GB (2015) Bias in ligation-based small RNA sequencing library construction is determined by adaptor and RNA structure. PLoS One 10(5):e0126049. https://doi.org/10.1371/journal.pone.0126049
Dard-Dascot C, Naquin D, d'Aubenton-Carafa Y, Alix K, Thermes C, van Dijk E (2018) Systematic comparison of small RNA library preparation protocols for next-generation sequencing. BMC Genomics 19(1):118. https://doi.org/10.1186/s12864-018-4491-6
Van Nieuwerburgh F, Soetaert S, Podshivalova K, Ay-Lin Wang E, Schaffer L, Deforce D, Salomon DR, Head SR, Ordoukhanian P (2011) Quantitative bias in Illumina TruSeq and a novel post amplification barcoding strategy for multiplexed DNA and small RNA deep sequencing. PLoS One 6(10):e26969. https://doi.org/10.1371/journal.pone.0026969
Harrison B, Zimmerman SB (1984) Polymer-stimulated ligation: enhanced ligation of oligo- and polynucleotides by T4 RNA ligase in polymer solutions. Nucleic Acids Res 12(21):8235–8251
Song Y, Liu KJ, Wang TH (2014) Elimination of ligation dependent artifacts in T4 RNA ligase to achieve high efficiency and low bias microRNA capture. PLoS One 9(4):e94619. https://doi.org/10.1371/journal.pone.0094619
Zhang Z, Lee JE, Riemondy K, Anderson EM, Yi R (2013) High-efficiency RNA cloning enables accurate quantification of miRNA expression by deep sequencing. Genome Biol 14(10):R109. https://doi.org/10.1186/gb-2013-14-10-r109
Barberan-Soler S, Vo JM, Hogans RE, Dallas A, Johnston BH, Kazakov SA (2018) Decreasing miRNA sequencing bias using a single adapter and circularization approach. Genome Biol 19(1):105. https://doi.org/10.1186/s13059-018-1488-z
van Dijk EL, Eleftheriou E, Thermes C (2019) Improving small RNA-seq: less bias and better detection of 2'-O-methyl RNAs. J Vis Exp (151). https://doi.org/10.3791/60056
Chen YR, Zheng Y, Liu B, Zhong S, Giovannoni J, Fei Z (2012) A cost-effective method for Illumina small RNA-Seq library preparation using T4 RNA ligase 1 adenylated adapters. Plant Methods 8(1):41. https://doi.org/10.1186/1746-4811-8-41
Martin M (2011) Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet. https://doi.org/10.14806/ej.17.1.200
Langmead B, Trapnell C, Pop M, Salzberg SL (2009) Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol 10(3):R25. https://doi.org/10.1186/gb-2009-10-3-r25
Acknowledgments
This work was supported by the National Center for Scientific Research (CNRS), the French Alternative Energies and Atomic Energy Commission (CEA), and Paris-Sud University. The members of the I2BC Next-Generation Sequencing service are acknowledged for critical reading of the manuscript and helpful suggestions.
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van Dijk, E.L., Thermes, C. (2021). A Small RNA-Seq Protocol with Less Bias and Improved Capture of 2′-O-Methyl RNAs. In: McMahon, M. (eds) RNA Modifications. Methods in Molecular Biology, vol 2298. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1374-0_10
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DOI: https://doi.org/10.1007/978-1-0716-1374-0_10
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