Comparison of Poly-A+ Selection and rRNA Depletion in Detection of lncRNA in Two Equine Tissues Using RNA-seq.
Abstract: Long non-coding RNAs (lncRNAs) are untranslated regulatory transcripts longer than 200 nucleotides that can play a role in transcriptional, post-translational, and epigenetic regulation. Traditionally, RNA-sequencing (RNA-seq) libraries have been created by isolating transcriptomic RNA via poly-A selection. In the past 10 years, methods to perform ribosomal RNA (rRNA) depletion of total RNA have been developed as an alternative, aiming for better coverage of whole transcriptomic RNA, both polyadenylated and non-polyadenylated transcripts. The purpose of this study was to determine which library preparation method is optimal for lncRNA investigations in the horse. Using liver and cerebral parietal lobe tissues from two healthy Thoroughbred mares, RNA-seq libraries were prepared using standard poly-A selection and rRNA-depletion methods. Averaging the two biologic replicates, poly-A selection yielded 327 and 773 more unique lncRNA transcripts for liver and parietal lobe, respectively. More lncRNA were found to be unique to poly-A selected libraries, and rRNA-depletion identified small nucleolar RNA (snoRNA) to have a higher relative expression than in the poly-A selected libraries. Overall, poly-A selection provides a more thorough identification of total lncRNA in equine tissues while rRNA-depletion may allow for easier detection of snoRNAs.
Publication Date: 2020-08-21 PubMed ID: 32825772PubMed Central: PMC7549351DOI: 10.3390/ncrna6030032Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
- Journal Article
Summary
This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.
The research article focuses on which RNA library preparation method is most effective for the study of long non-coding RNAs in horse tissues. Two methods, poly-A selection and rRNA depletion, were compared and it was found that the poly-A selection method provided a more comprehensive identification of long non-coding RNAs.
Background
- Long non-coding RNAs (lncRNAs) are regulatory transcripts that do not code for proteins but play significant roles in various biological processes such as transcriptional, post-translational, and epigenetic regulation.
- The detection and identification of lncRNAs is critical for understanding many biological and physiological processes.
- Traditionally, libraries for RNA-sequencing studies have been created by isolating transcriptomic RNA through a method known as poly-A selection. More recently, a technique to deplete ribosomal RNA (rRNA) from total RNA has been developed, aiming to give improved coverage of the entire transcriptomic RNA, including both polyadenylated and non-polyadenylated transcripts.
Objective and Methods
- The aim of the study was to find out which library preparation method – poly-A selection or rRNA depletion – is more suitable for studying lncRNAs in the horse.
- To do this, the researchers compared these two methods by analyzing liver and cerebral parietal lobe tissues from two healthy Thoroughbred mares.
Findings
- When averaging the results of the two biological replicates, it was found that poly-A selection yielded 327 and 773 more unique lncRNA transcripts for liver and parietal lobe, respectively.
- The study discovered that more lncRNAs were unique to libraries prepared using poly-A selection. However, despite this, rRNA depletion identified a higher relative expression of small nucleolar RNAs (snoRNAs) in comparison to the poly-A selection method.
Conclusion
- The research concluded that poly-A selection provides a more thorough identification of total long non-coding RNAs in horse tissues.
- However, it was also noted that the rRNA depletion method may allow for easier detection of snoRNAs.
Cite This Article
APA
Dahlgren AR, Scott EY, Mansour T, Hales EN, Ross PJ, Kalbfleisch TS, MacLeod JN, Petersen JL, Bellone RR, Finno CJ.
(2020).
Comparison of Poly-A+ Selection and rRNA Depletion in Detection of lncRNA in Two Equine Tissues Using RNA-seq.
Noncoding RNA, 6(3), 32.
https://doi.org/10.3390/ncrna6030032 Publication
Researcher Affiliations
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA.
- Department of Animal Science, College of Agricultural and Environmental Sciences, University of California Davis, Davis, CA 95616, USA.
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA.
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA.
- Department of Animal Science, College of Agricultural and Environmental Sciences, University of California Davis, Davis, CA 95616, USA.
- Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY 40546, USA.
- Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY 40546, USA.
- Department of Animal Science, University of Nebraska Lincoln, Lincoln, NE 68583, USA.
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA.
- Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA.
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA.
Grant Funding
- N/A / Grayson Jockey Club Foundation
- NRSP-8 Species Coordinator Funds / U.S. Department of Agriculture
- N/A / UC Davis Center for Equine Health
- 20143842021796 (Hales) / U.S. Department of Agriculture
- L40 TR001136 (Finno) / NIH HHS
Conflict of Interest Statement
The authors declare no conflict of interest.
References
This article includes 42 references
- Guttman M, Amit I, Garber M, French C, Lin MF, Feldser D, Huarte M, Zuk O, Carey BW, Cassady JP, Cabili MN, Jaenisch R, Mikkelsen TS, Jacks T, Hacohen N, Bernstein BE, Kellis M, Regev A, Rinn JL, Lander ES. Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals.. Nature 2009 Mar 12;458(7235):223-7.
- Martens JA, Laprade L, Winston F. Intergenic transcription is required to repress the Saccharomyces cerevisiae SER3 gene.. Nature 2004 Jun 3;429(6991):571-4.
- Blume SW, Meng Z, Shrestha K, Snyder RC, Emanuel PD. The 5'-untranslated RNA of the human dhfr minor transcript alters transcription pre-initiation complex assembly at the major (core) promoter.. J Cell Biochem 2003 Jan 1;88(1):165-80.
- Martignetti JA, Brosius J. BC200 RNA: a neural RNA polymerase III product encoded by a monomeric Alu element.. Proc Natl Acad Sci U S A 1993 Dec 15;90(24):11563-7.
- Redrup L, Branco MR, Perdeaux ER, Krueger C, Lewis A, Santos F, Nagano T, Cobb BS, Fraser P, Reik W. The long noncoding RNA Kcnq1ot1 organises a lineage-specific nuclear domain for epigenetic gene silencing.. Development 2009 Feb;136(4):525-30.
- Dinger ME, Amaral PP, Mercer TR, Pang KC, Bruce SJ, Gardiner BB, Askarian-Amiri ME, Ru K, Soldà G, Simons C, Sunkin SM, Crowe ML, Grimmond SM, Perkins AC, Mattick JS. Long noncoding RNAs in mouse embryonic stem cell pluripotency and differentiation.. Genome Res 2008 Sep;18(9):1433-45.
- Khalil AM, Faghihi MA, Modarresi F, Brothers SP, Wahlestedt C. A novel RNA transcript with antiapoptotic function is silenced in fragile X syndrome.. PLoS One 2008 Jan 23;3(1):e1486.
- Liang WC, Fu WM, Wong CW, Wang Y, Wang WM, Hu GX, Zhang L, Xiao LJ, Wan DC, Zhang JF, Waye MM. The lncRNA H19 promotes epithelial to mesenchymal transition by functioning as miRNA sponges in colorectal cancer.. Oncotarget 2015 Sep 8;6(26):22513-25.
- Li H, Yu B, Li J, Su L, Yan M, Zhu Z, Liu B. Overexpression of lncRNA H19 enhances carcinogenesis and metastasis of gastric cancer.. Oncotarget 2014 Apr 30;5(8):2318-29.
- Zhang Y, Pitchiaya S, Cieślik M, Niknafs YS, Tien JC, Hosono Y, Iyer MK, Yazdani S, Subramaniam S, Shukla SK, Jiang X, Wang L, Liu TY, Uhl M, Gawronski AR, Qiao Y, Xiao L, Dhanasekaran SM, Juckette KM, Kunju LP, Cao X, Patel U, Batish M, Shukla GC, Paulsen MT, Ljungman M, Jiang H, Mehra R, Backofen R, Sahinalp CS, Freier SM, Watt AT, Guo S, Wei JT, Feng FY, Malik R, Chinnaiyan AM. Analysis of the androgen receptor-regulated lncRNA landscape identifies a role for ARLNC1 in prostate cancer progression.. Nat Genet 2018 Jun;50(6):814-824.
- Johnson R. Long non-coding RNAs in Huntington's disease neurodegeneration.. Neurobiol Dis 2012 May;46(2):245-54.
- Spreafico M, Grillo B, Rusconi F, Battaglioli E, Venturin M. Multiple Layers of CDK5R1 Regulation in Alzheimer's Disease Implicate Long Non-Coding RNAs.. Int J Mol Sci 2018 Jul 11;19(7).
- Scott EY, Mansour T, Bellone RR, Brown CT, Mienaltowski MJ, Penedo MC, Ross PJ, Valberg SJ, Murray JD, Finno CJ. Identification of long non-coding RNA in the horse transcriptome.. BMC Genomics 2017 Jul 4;18(1):511.
- Zhao S, Zhang Y, Gamini R, Zhang B, von Schack D. Evaluation of two main RNA-seq approaches for gene quantification in clinical RNA sequencing: polyA+ selection versus rRNA depletion.. Sci Rep 2018 Mar 19;8(1):4781.
- Ulitsky I, Shkumatava A, Jan CH, Sive H, Bartel DP. Conserved function of lincRNAs in vertebrate embryonic development despite rapid sequence evolution.. Cell 2011 Dec 23;147(7):1537-50.
- Hezroni H, Koppstein D, Schwartz MG, Avrutin A, Bartel DP, Ulitsky I. Principles of long noncoding RNA evolution derived from direct comparison of transcriptomes in 17 species.. Cell Rep 2015 May 19;11(7):1110-22.
- Muret K, Désert C, Lagoutte L, Boutin M, Gondret F, Zerjal T, Lagarrigue S. Long noncoding RNAs in lipid metabolism: literature review and conservation analysis across species.. BMC Genomics 2019 Nov 21;20(1):882.
- Wilusz JE, Freier SM, Spector DL. 3' end processing of a long nuclear-retained noncoding RNA yields a tRNA-like cytoplasmic RNA.. Cell 2008 Nov 28;135(5):919-32.
- Cheng J, Kapranov P, Drenkow J, Dike S, Brubaker S, Patel S, Long J, Stern D, Tammana H, Helt G, Sementchenko V, Piccolboni A, Bekiranov S, Bailey DK, Ganesh M, Ghosh S, Bell I, Gerhard DS, Gingeras TR. Transcriptional maps of 10 human chromosomes at 5-nucleotide resolution.. Science 2005 May 20;308(5725):1149-54.
- Burns EN, Bordbari MH, Mienaltowski MJ, Affolter VK, Barro MV, Gianino F, Gianino G, Giulotto E, Kalbfleisch TS, Katzman SA, Lassaline M, Leeb T, Mack M, Müller EJ, MacLeod JN, Ming-Whitfield B, Alanis CR, Raudsepp T, Scott E, Vig S, Zhou H, Petersen JL, Bellone RR, Finno CJ. Generation of an equine biobank to be used for Functional Annotation of Animal Genomes project.. Anim Genet 2018 Dec;49(6):564-570.
- Lonsdale J, Thomas J, Salvatore M, Phillips R, Lo E, Shad S, Hasz R, Walters G, Garcia F, Young N. The Genotype-Tissue Expression (GTEx) Project. Nat. Genet. 2013;45:580–585.
- Capomaccio S, Vitulo N, Verini-Supplizi A, Barcaccia G, Albiero A, D'Angelo M, Campagna D, Valle G, Felicetti M, Silvestrelli M, Cappelli K. RNA sequencing of the exercise transcriptome in equine athletes.. PLoS One 2013;8(12):e83504.
- Wilusz JE, JnBaptiste CK, Lu LY, Kuhn CD, Joshua-Tor L, Sharp PA. A triple helix stabilizes the 3' ends of long noncoding RNAs that lack poly(A) tails.. Genes Dev 2012 Nov 1;26(21):2392-407.
- Guo Y, Zhao S, Sheng Q, Guo M, Lehmann B, Pietenpol J, Samuels DC, Shyr Y. RNAseq by Total RNA Library Identifies Additional RNAs Compared to Poly(A) RNA Library.. Biomed Res Int 2015;2015:862130.
- Sultan M, Amstislavskiy V, Risch T, Schuette M, Dökel S, Ralser M, Balzereit D, Lehrach H, Yaspo ML. Influence of RNA extraction methods and library selection schemes on RNA-seq data.. BMC Genomics 2014 Aug 11;15(1):675.
- Cui P, Lin Q, Ding F, Xin C, Gong W, Zhang L, Geng J, Zhang B, Yu X, Yang J, Hu S, Yu J. A comparison between ribo-minus RNA-sequencing and polyA-selected RNA-sequencing.. Genomics 2010 Nov;96(5):259-65.
- Chao HP, Chen Y, Takata Y, Tomida MW, Lin K, Kirk JS, Simper MS, Mikulec CD, Rundhaug JE, Fischer SM, Chen T, Tang DG, Lu Y, Shen J. Systematic evaluation of RNA-Seq preparation protocol performance.. BMC Genomics 2019 Jul 11;20(1):571.
- Schuierer S, Carbone W, Knehr J, Petitjean V, Fernandez A, Sultan M, Roma G. A comprehensive assessment of RNA-seq protocols for degraded and low-quantity samples.. BMC Genomics 2017 Jun 5;18(1):442.
- Yan L, Yang M, Guo H, Yang L, Wu J, Li R, Liu P, Lian Y, Zheng X, Yan J, Huang J, Li M, Wu X, Wen L, Lao K, Li R, Qiao J, Tang F. Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells.. Nat Struct Mol Biol 2013 Sep;20(9):1131-9.
- Ingolia NT, Lareau LF, Weissman JS. Ribosome profiling of mouse embryonic stem cells reveals the complexity and dynamics of mammalian proteomes.. Cell 2011 Nov 11;147(4):789-802.
- Nelson BR, Makarewich CA, Anderson DM, Winders BR, Troupes CD, Wu F, Reese AL, McAnally JR, Chen X, Kavalali ET, Cannon SC, Houser SR, Bassel-Duby R, Olson EN. A peptide encoded by a transcript annotated as long noncoding RNA enhances SERCA activity in muscle.. Science 2016 Jan 15;351(6270):271-5.
- Joshi N., Fass J. Sickle: A Sliding-Window, Adaptive, Quality-Based Trimming Tool for FastQ Files, Version 1.33 [Software] [(accessed on 6 April 2020)];2011 Available online: https://github.com/najoshi/sickle.
- Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, Batut P, Chaisson M, Gingeras TR. STAR: ultrafast universal RNA-seq aligner.. Bioinformatics 2013 Jan 1;29(1):15-21.
- Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R. The Sequence Alignment/Map format and SAMtools.. Bioinformatics 2009 Aug 15;25(16):2078-9.
- Pertea M, Pertea GM, Antonescu CM, Chang TC, Mendell JT, Salzberg SL. StringTie enables improved reconstruction of a transcriptome from RNA-seq reads.. Nat Biotechnol 2015 Mar;33(3):290-5.
- Kalbfleisch TS, Rice ES, DePriest MS Jr, Walenz BP, Hestand MS, Vermeesch JR, O Connell BL, Fiddes IT, Vershinina AO, Saremi NF, Petersen JL, Finno CJ, Bellone RR, McCue ME, Brooks SA, Bailey E, Orlando L, Green RE, Miller DC, Antczak DF, MacLeod JN. Improved reference genome for the domestic horse increases assembly contiguity and composition.. Commun Biol 2018;1:197.
- Pertea G. GffCompare. [(accessed on 6 April 2020)]; Available online: http://ccb.jhu.edu/software/stringtie/gffcompare.shtml.
- Wickham H., François R., Henry L., Müller K. Dplyr. [(accessed on 6 April 2020)];2018 Available online: https://cran.r-project.org/web/packages/dplyr/index.html.
- Sonnhammer EL, Eddy SR, Durbin R. Pfam: a comprehensive database of protein domain families based on seed alignments.. Proteins 1997 Jul;28(3):405-20.
- Finn RD, Coggill P, Eberhardt RY, Eddy SR, Mistry J, Mitchell AL, Potter SC, Punta M, Qureshi M, Sangrador-Vegas A, Salazar GA, Tate J, Bateman A. The Pfam protein families database: towards a more sustainable future.. Nucleic Acids Res 2016 Jan 4;44(D1):D279-85.
- Quinlan AR, Hall IM. BEDTools: a flexible suite of utilities for comparing genomic features.. Bioinformatics 2010 Mar 15;26(6):841-2.
- Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.. Bioinformatics 2010 Jan 1;26(1):139-40.
Citations
This article has been cited 3 times.- Chen JW, Shrestha L, Green G, Leier A, Marquez-Lago TT. The hitchhikers' guide to RNA sequencing and functional analysis.. Brief Bioinform 2023 Jan 19;24(1).
- Lagarrigue S, Lorthiois M, Degalez F, Gilot D, Derrien T. LncRNAs in domesticated animals: from dog to livestock species.. Mamm Genome 2022 Jun;33(2):248-270.
- Wenzel MA, Müller B, Pettitt J. SLIDR and SLOPPR: flexible identification of spliced leader trans-splicing and prediction of eukaryotic operons from RNA-Seq data.. BMC Bioinformatics 2021 Mar 22;22(1):140.
Use Nutrition Calculator
Check if your horse's diet meets their nutrition requirements with our easy-to-use tool Check your horse's diet with our easy-to-use tool
Talk to a Nutritionist
Discuss your horse's feeding plan with our experts over a free phone consultation Discuss your horse's diet over a phone consultation
Submit Diet Evaluation
Get a customized feeding plan for your horse formulated by our equine nutritionists Get a custom feeding plan formulated by our nutritionists