Comparative analysis of RNA enrichment methods for preparation of Cryptococcus neoformans RNA sequencing libraries

被引:5
作者
Telzrow, Calla L. [1 ,2 ]
Zwack, Paul J. [3 ]
Righi, Shannon Esher [4 ]
Dietrich, Fred S.
Chan, Cliburn [5 ]
Owzar, Kouros [5 ,6 ]
Alspaugh, J. Andrew [1 ,2 ]
Granek, Joshua A. [5 ,6 ,7 ]
机构
[1] Duke Univ, Dept Med, Sch Med, Durham, NC 27710 USA
[2] Duke Univ, Dept Mol Genet & Microbiol, Sch Med, Durham, NC 27710 USA
[3] Duke Univ, Dept Biol, Durham, NC 27710 USA
[4] Tulane Univ, Dept Microbiol & Immunol, Sch Med, New Orleans, LA 70112 USA
[5] Duke Univ, Dept Biostat & Bioinformat, Med Ctr, Durham, NC 27710 USA
[6] Duke Univ, Duke Canc Inst, Durham, NC 27710 USA
[7] Duke Univ Med Ctr, Dept Biostat & Bioinformat, Box 2721,2424 Erwin Rd,10044 Hock Plaza, Durham, NC 27710 USA
来源
G3-GENES GENOMES GENETICS | 2021年 / 11卷 / 11期
关键词
RNA sequencing; RNA enrichment; ribosomal RNA; non-coding RNA; CLOSTRIDIUM-BEIJERINCKII; BUTANOL; ACETONE;
D O I
10.1093/g3journal/jkab301
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
RNA sequencing (RNA-Seq) experiments focused on gene expression involve removal of ribosomal RNA (rRNA) because it is the major RNA constituent of cells. This process, called RNA enrichment, is done primarily to reduce cost: without rRNA removal, deeper sequencing must be performed to compensate for the sequencing reads wasted on rRNA. The ideal RNA enrichment method removes all rRNA without affecting other RNA in the sample. We tested the performance of three RNA enrichment methods on RNA isolated from Cryptococcus neoformans, a fungal pathogen of humans. We find that the RNase H depletion method is more efficient in depleting rRNA and more specific in recapitulating non-rRNA levels present in unenriched controls than the commonly-used Poly(A) isolation method. The RNase H depletion method is also more effective than the Ribo-Zero depletion method as measured by rRNA depletion efficiency and recapitulation of protein-coding RNA levels present in unenriched controls, while the Ribo-Zero depletion method more closely recapitulates annotated non-coding RNA (ncRNA) levels. Finally, we leverage these data to accurately map the C. neoformans mitochondrial rRNA genes, and also demonstrate that RNA-Seq data generated with the RNase H and Ribo-Zero depletion methods can be used to explore novel C. neoformans long non-coding RNA genes.
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页数:11
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共 52 条
  • [1] PHASTER: a better, faster version of the PHAST phage search tool
    Arndt, David
    Grant, Jason R.
    Marcu, Ana
    Sajed, Tanvir
    Pon, Allison
    Liang, Yongjie
    Wishart, David S.
    [J]. NUCLEIC ACIDS RESEARCH, 2016, 44 (W1) : W16 - W21
  • [2] The RAST server: Rapid annotations using subsystems technology
    Aziz, Ramy K.
    Bartels, Daniela
    Best, Aaron A.
    DeJongh, Matthew
    Disz, Terrence
    Edwards, Robert A.
    Formsma, Kevin
    Gerdes, Svetlana
    Glass, Elizabeth M.
    Kubal, Michael
    Meyer, Folker
    Olsen, Gary J.
    Olson, Robert
    Osterman, Andrei L.
    Overbeek, Ross A.
    McNeil, Leslie K.
    Paarmann, Daniel
    Paczian, Tobias
    Parrello, Bruce
    Pusch, Gordon D.
    Reich, Claudia
    Stevens, Rick
    Vassieva, Olga
    Vonstein, Veronika
    Wilke, Andreas
    Zagnitko, Olga
    [J]. BMC GENOMICS, 2008, 9 (1)
  • [3] SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing
    Bankevich, Anton
    Nurk, Sergey
    Antipov, Dmitry
    Gurevich, Alexey A.
    Dvorkin, Mikhail
    Kulikov, Alexander S.
    Lesin, Valery M.
    Nikolenko, Sergey I.
    Son Pham
    Prjibelski, Andrey D.
    Pyshkin, Alexey V.
    Sirotkin, Alexander V.
    Vyahhi, Nikolay
    Tesler, Glenn
    Alekseyev, Max A.
    Pevzner, Pavel A.
    [J]. JOURNAL OF COMPUTATIONAL BIOLOGY, 2012, 19 (05) : 455 - 477
  • [4] Acetone-butanol-ethanol (ABE) production by Clostridium beijerinckii from wheat straw hydrolysates: Efficient use of penta and hexa carbohydrates
    Bellido, Carolina
    Loureiro Pinto, Marina
    Coca, Monica
    Gonzalez-Benito, Gerardo
    Teresa Garcia-Cubero, Maria
    [J]. BIORESOURCE TECHNOLOGY, 2014, 167 : 198 - 205
  • [5] IslandViewer 4: expanded prediction of genomic islands for larger-scale datasets
    Bertelli, Claire
    Laird, Matthew R.
    Williams, Kelly P.
    Lau, Britney Y.
    Hoad, Gemma
    Winsor, Geoffrey L.
    Brinkman, Fiona S. L.
    [J]. NUCLEIC ACIDS RESEARCH, 2017, 45 (W1) : W30 - W35
  • [6] Pan-genome analysis of Clostridium botulinum reveals unique targets for drug development
    Bhardwaj, Tulika
    Somvanshi, Pallavi
    [J]. GENE, 2017, 623 : 48 - 62
  • [7] Zooming in on Butyrate-Producing Clostridial Consortia in the Fermented Grains of Baijiu via Gene Sequence-Guided Microbial Isolation
    Chai, Li-Juan
    Lu, Zhen-Ming
    Zhang, Xiao-Juan
    Ma, Jian
    Xu, Peng-Xiang
    Qian, Wei
    Xiao, Chen
    Wang, Song-Tao
    Shen, Cai-Hong
    Shi, Jin-Song
    Xu, Zheng-Hong
    [J]. FRONTIERS IN MICROBIOLOGY, 2019, 10
  • [8] Profiling the Clostridia with butyrate-producing potential in the mud of Chinese liquor fermentation cellar
    Chai, Li-Juan
    Xu, Peng-Xiang
    Qian, Wei
    Zhang, Xiao-Juan
    Ma, Jian
    Lu, Zhen-Ming
    Wang, Song-Tao
    Shen, Cai-Hong
    Shi, Jin-Song
    Xu, Zheng-Hong
    [J]. INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY, 2019, 297 : 41 - 50
  • [9] BPGA- an ultra-fast pan-genome analysis pipeline
    Chaudhari, Narendrakumar M.
    Gupta, Vinod Kumar
    Dutta, Chitra
    [J]. SCIENTIFIC REPORTS, 2016, 6
  • [10] A5-miseq: an updated pipeline to assemble microbial genomes from Illumina MiSeq data
    Coil, David
    Jospin, Guillaume
    Darling, Aaron E.
    [J]. BIOINFORMATICS, 2015, 31 (04) : 587 - 589