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Nucleic acids research2023; 51(13); e69; doi: 10.1093/nar/gkad460

A method to generate capture baits for targeted sequencing.

Abstract: Hybridization capture approaches allow targeted high-throughput sequencing analysis at reduced costs compared to shotgun sequencing. Hybridization capture is particularly useful in analyses of genomic data from ancient, environmental, and forensic samples, where target content is low, DNA is fragmented and multiplex PCR or other targeted approaches often fail. Here, we describe a DNA bait synthesis approach for hybridization capture that we call Circular Nucleic acid Enrichment Reagent, or CNER (pronounced 'snare'). The CNER method uses rolling-circle amplification followed by restriction digestion to discretize microgram quantities of hybridization probes. We demonstrate the utility of the CNER method by generating probes for a panel of 23 771 known sites of single nucleotide polymorphism in the horse genome. Using these probes, we capture and sequence from a panel of ten ancient horse DNA libraries, comparing CNER capture efficiency to a commercially available approach. With about one million read pairs per sample, CNERs captured more targets (90.5% versus 66.5%) at greater mean depth than an alternative commercial approach.
Publication Date: 2023-06-01 PubMed ID: 37260085PubMed Central: PMC10359599DOI: 10.1093/nar/gkad460Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't
  • Research Support
  • U.S. Gov't
  • Non-P.H.S.

Summary

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The research article presents a new method called Circular Nucleic acid Enrichment Reagent (CNER) for creating DNA bait for hybridization capture, particularly useful in genomic analyses where traditional methods often fail. The study illustrates CNER’s effectiveness through a comparison with a commercial method, demonstrating its superior capture efficiency in sequencing from ancient horse DNA samples.

Introduction to the Circular Nucleic acid Enrichment Reagent (CNER) Method

  • The new DNA bait synthesis technique for hybridization capture is called Circular Nucleic acid Enrichment Reagent (CNER).
  • The article emphasizes the use of CNER in situations where target content is low, DNA is fragmented, and multiplex PCR or other targeted techniques often fail. This makes it especially useful in the analysis of genomic data from ancient, environmental, and forensic samples.
  • The CNER method leverages rolling-circle amplification followed by restriction digestion to break down microgram quantities of hybridization probes.

Application and Testing of the CNER Method

  • The researchers tested CNER’s utility in creating probes for a panel of 23,771 known sites of single nucleotide polymorphism in the horse genome.
  • These probes were then employed to capture and sequence from a panel of ten ancient horse DNA libraries. The capture efficiency of CNER was evaluated in comparison to an existing commercially available approach.

Comparison with Alternate Approaches

  • The effectiveness of CNER was compared to a commercially available method regarding capture efficiency and mean depth.
  • On the performance metrics, the CNER method outperformed the commercial alternative. With approximately one million read pairs per sample, CNER captured more targets, achieving 90.5% success rate as opposed to 66.5% with the commercial method.
  • Furthermore, CNER also managed to capture targets at a greater mean depth than the commercially available method. This superior capture depth implies that CNER might be better at capturing and sequencing from difficult sources such as the horse DNA libraries mentioned in this study.

Cite This Article

APA
Sundararaman B, Vershinina AO, Hershauer S, Kapp JD, Dunn S, Shapiro B, Green RE. (2023). A method to generate capture baits for targeted sequencing. Nucleic Acids Res, 51(13), e69. https://doi.org/10.1093/nar/gkad460

Publication

ISSN: 1362-4962
NlmUniqueID: 0411011
Country: England
Language: English
Volume: 51
Issue: 13
Pages: e69

Researcher Affiliations

Sundararaman, Balaji
  • Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Vershinina, Alisa O
  • Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Hershauer, Samantha
  • Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Kapp, Joshua D
  • Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Dunn, Shelby
  • Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Shapiro, Beth
  • Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • UCSC Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Green, Richard E
  • Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • UCSC Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.

MeSH Terms

  • Animals
  • Horses / genetics
  • DNA / genetics
  • Genomics
  • Sequence Analysis, DNA / methods
  • Nucleic Acid Hybridization / methods
  • High-Throughput Nucleotide Sequencing / methods

References

This article includes 41 references
  1. Mamanova L, Coffey AJ, Scott CE, Kozarewa I, Turner EH, Kumar A, Howard E, Shendure J, Turner DJ. Target-enrichment strategies for next-generation sequencing.. Nat Methods 2010 Feb;7(2):111-8.
    pubmed: 20111037doi: 10.1038/nmeth.1419google scholar: lookup
  2. Gasc C, Peyretaillade E, Peyret P. Sequence capture by hybridization to explore modern and ancient genomic diversity in model and nonmodel organisms.. Nucleic Acids Res 2016 Jun 2;44(10):4504-18.
    pmc: PMC4889952pubmed: 27105841doi: 10.1093/nar/gkw309google scholar: lookup
  3. Gaudin M, Desnues C. Hybrid Capture-Based Next Generation Sequencing and Its Application to Human Infectious Diseases.. Front Microbiol 2018;9:2924.
    pmc: PMC6277869pubmed: 30542340doi: 10.3389/fmicb.2018.02924google scholar: lookup
  4. Hodges E, Xuan Z, Balija V, Kramer M, Molla MN, Smith SW, Middle CM, Rodesch MJ, Albert TJ, Hannon GJ, McCombie WR. Genome-wide in situ exon capture for selective resequencing.. Nat Genet 2007 Dec;39(12):1522-7.
    pubmed: 17982454doi: 10.1038/ng.2007.42google scholar: lookup
  5. Albert TJ, Molla MN, Muzny DM, Nazareth L, Wheeler D, Song X, Richmond TA, Middle CM, Rodesch MJ, Packard CJ, Weinstock GM, Gibbs RA. Direct selection of human genomic loci by microarray hybridization.. Nat Methods 2007 Nov;4(11):903-5.
    pubmed: 17934467doi: 10.1038/nmeth1111google scholar: lookup
  6. Okou DT, Steinberg KM, Middle C, Cutler DJ, Albert TJ, Zwick ME. Microarray-based genomic selection for high-throughput resequencing.. Nat Methods 2007 Nov;4(11):907-9.
    pubmed: 17934469doi: 10.1038/nmeth1109google scholar: lookup
  7. Hodges E, Rooks M, Xuan Z, Bhattacharjee A, Benjamin Gordon D, Brizuela L, Richard McCombie W, Hannon GJ. Hybrid selection of discrete genomic intervals on custom-designed microarrays for massively parallel sequencing.. Nat Protoc 2009;4(6):960-74.
    pmc: PMC2990409pubmed: 19478811doi: 10.1038/nprot.2009.68google scholar: lookup
  8. Burbano HA, Hodges E, Green RE, Briggs AW, Krause J, Meyer M, Good JM, Maricic T, Johnson PL, Xuan Z, Rooks M, Bhattacharjee A, Brizuela L, Albert FW, de la Rasilla M, Fortea J, Rosas A, Lachmann M, Hannon GJ, Pääbo S. Targeted investigation of the Neandertal genome by array-based sequence capture.. Science 2010 May 7;328(5979):723-5.
    pmc: PMC3140021pubmed: 20448179doi: 10.1126/science.1188046google scholar: lookup
  9. Gnirke A, Melnikov A, Maguire J, Rogov P, LeProust EM, Brockman W, Fennell T, Giannoukos G, Fisher S, Russ C, Gabriel S, Jaffe DB, Lander ES, Nusbaum C. Solution hybrid selection with ultra-long oligonucleotides for massively parallel targeted sequencing.. Nat Biotechnol 2009 Feb;27(2):182-9.
    pmc: PMC2663421pubmed: 19182786doi: 10.1038/nbt.1523google scholar: lookup
  10. Maricic T, Whitten M, Pääbo S. Multiplexed DNA sequence capture of mitochondrial genomes using PCR products.. PLoS One 2010 Nov 16;5(11):e14004.
  11. Kosuri S, Church GM. Large-scale de novo DNA synthesis: technologies and applications.. Nat Methods 2014 May;11(5):499-507.
    pmc: PMC7098426pubmed: 24781323doi: 10.1038/nmeth.2918google scholar: lookup
  12. Song LF, Deng ZH, Gong ZY, Li LL, Li BZ. Large-Scale de novo Oligonucleotide Synthesis for Whole-Genome Synthesis and Data Storage: Challenges and Opportunities.. Front Bioeng Biotechnol 2021;9:689797.
    pmc: PMC8258115pubmed: 34239862doi: 10.3389/fbioe.2021.689797google scholar: lookup
  13. Duftner N, Larkins-Ford J, Legendre M, Hofmann HA. Efficacy of RNA amplification is dependent on sequence characteristics: implications for gene expression profiling using a cDNA microarray.. Genomics 2008 Jan;91(1):108-17.
    pmc: PMC2258226pubmed: 18006269doi: 10.1016/j.ygeno.2007.09.004google scholar: lookup
  14. Conrad T, Plumbom I, Alcobendas M, Vidal R, Sauer S. Maximizing transcription of nucleic acids with efficient T7 promoters.. Commun Biol 2020 Aug 14;3(1):439.
    pmc: PMC7429497pubmed: 32796901doi: 10.1038/s42003-020-01167-xgoogle scholar: lookup
  15. Vershinina AO, Heintzman PD, Froese DG, Zazula G, Cassatt-Johnstone M, Dalén L, Der Sarkissian C, Dunn SG, Ermini L, Gamba C, Groves P, Kapp JD, Mann DH, Seguin-Orlando A, Southon J, Stiller M, Wooller MJ, Baryshnikov G, Gimranov D, Scott E, Hall E, Hewitson S, Kirillova I, Kosintsev P, Shidlovsky F, Tong HW, Tiunov MP, Vartanyan S, Orlando L, Corbett-Detig R, MacPhee RD, Shapiro B. Ancient horse genomes reveal the timing and extent of dispersals across the Bering Land Bridge.. Mol Ecol 2021 Dec;30(23):6144-6161.
    pubmed: 33971056doi: 10.1111/mec.15977google scholar: lookup
  16. Dabney J, Knapp M, Glocke I, Gansauge MT, Weihmann A, Nickel B, Valdiosera C, García N, Pääbo S, Arsuaga JL, Meyer M. Complete mitochondrial genome sequence of a Middle Pleistocene cave bear reconstructed from ultrashort DNA fragments.. Proc Natl Acad Sci U S A 2013 Sep 24;110(39):15758-63.
    pmc: PMC3785785pubmed: 24019490doi: 10.1073/pnas.1314445110google scholar: lookup
  17. Fulton TL, Shapiro B. Setting Up an Ancient DNA Laboratory.. Methods Mol Biol 2019;1963:1-13.
    pubmed: 30875038doi: 10.1007/978-1-4939-9176-1_1google scholar: lookup
  18. Kapp JD, Green RE, Shapiro B. A Fast and Efficient Single-stranded Genomic Library Preparation Method Optimized for Ancient DNA.. J Hered 2021 May 24;112(3):241-249.
    pmc: PMC8141684pubmed: 33768239doi: 10.1093/jhered/esab012google scholar: lookup
  19. Kircher M, Sawyer S, Meyer M. Double indexing overcomes inaccuracies in multiplex sequencing on the Illumina platform.. Nucleic Acids Res 2012 Jan;40(1):e3.
    pmc: PMC3245947pubmed: 22021376doi: 10.1093/nar/gkr771google scholar: lookup
  20. Rohland N, Reich D. Cost-effective, high-throughput DNA sequencing libraries for multiplexed target capture.. Genome Res 2012 May;22(5):939-46.
    pmc: PMC3337438pubmed: 22267522doi: 10.1101/gr.128124.111google scholar: lookup
  21. Librado P, Der Sarkissian C, Ermini L, Schubert M, Jónsson H, Albrechtsen A, Fumagalli M, Yang MA, Gamba C, Seguin-Orlando A, Mortensen CD, Petersen B, Hoover CA, Lorente-Galdos B, Nedoluzhko A, Boulygina E, Tsygankova S, Neuditschko M, Jagannathan V, Thèves C, Alfarhan AH, Alquraishi SA, Al-Rasheid KA, Sicheritz-Ponten T, Popov R, Grigoriev S, Alekseev AN, Rubin EM, McCue M, Rieder S, Leeb T, Tikhonov A, Crubézy E, Slatkin M, Marques-Bonet T, Nielsen R, Willerslev E, Kantanen J, Prokhortchouk E, Orlando L. Tracking the origins of Yakutian horses and the genetic basis for their fast adaptation to subarctic environments.. Proc Natl Acad Sci U S A 2015 Dec 15;112(50):E6889-97.
    pmc: PMC4687531pubmed: 26598656doi: 10.1073/pnas.1513696112google scholar: lookup
  22. Schubert M, Jónsson H, Chang D, Der Sarkissian C, Ermini L, Ginolhac A, Albrechtsen A, Dupanloup I, Foucal A, Petersen B, Fumagalli M, Raghavan M, Seguin-Orlando A, Korneliussen TS, Velazquez AM, Stenderup J, Hoover CA, Rubin CJ, Alfarhan AH, Alquraishi SA, Al-Rasheid KA, MacHugh DE, Kalbfleisch T, MacLeod JN, Rubin EM, Sicheritz-Ponten T, Andersson L, Hofreiter M, Marques-Bonet T, Gilbert MT, Nielsen R, Excoffier L, Willerslev E, Shapiro B, Orlando L. Prehistoric genomes reveal the genetic foundation and cost of horse domestication.. Proc Natl Acad Sci U S A 2014 Dec 30;111(52):E5661-9.
    pmc: PMC4284583pubmed: 25512547doi: 10.1073/pnas.1416991111google scholar: lookup
  23. Wade CM, Giulotto E, Sigurdsson S, Zoli M, Gnerre S, Imsland F, Lear TL, Adelson DL, Bailey E, Bellone RR, Blöcker H, Distl O, Edgar RC, Garber M, Leeb T, Mauceli E, MacLeod JN, Penedo MC, Raison JM, Sharpe T, Vogel J, Andersson L, Antczak DF, Biagi T, Binns MM, Chowdhary BP, Coleman SJ, Della Valle G, Fryc S, Guérin G, Hasegawa T, Hill EW, Jurka J, Kiialainen A, Lindgren G, Liu J, Magnani E, Mickelson JR, Murray J, Nergadze SG, Onofrio R, Pedroni S, Piras MF, Raudsepp T, Rocchi M, Røed KH, Ryder OA, Searle S, Skow L, Swinburne JE, Syvänen AC, Tozaki T, Valberg SJ, Vaudin M, White JR, Zody MC, Lander ES, Lindblad-Toh K. Genome sequence, comparative analysis, and population genetics of the domestic horse.. Science 2009 Nov 6;326(5954):865-7.
    pmc: PMC3785132pubmed: 19892987doi: 10.1126/science.1178158google scholar: lookup
  24. Li H. A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data.. Bioinformatics 2011 Nov 1;27(21):2987-93.
  25. Zhou B, Wen S, Wang L, Jin L, Li H, Zhang H. AntCaller: an accurate variant caller incorporating ancient DNA damage.. Mol Genet Genomics 2017 Dec;292(6):1419-1430.
    pubmed: 28836000doi: 10.1007/s00438-017-1358-5google scholar: lookup
  26. Van der Auwera GA, O'Connor BD. Genomics in the Cloud: Using Docker, GATK, and WDL in Terra (1st Edition). 2020; O'Reilly Media.
  27. Danecek P, Auton A, Abecasis G, Albers CA, Banks E, DePristo MA, Handsaker RE, Lunter G, Marth GT, Sherry ST, McVean G, Durbin R. The variant call format and VCFtools.. Bioinformatics 2011 Aug 1;27(15):2156-8.
  28. Li H, Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform.. Bioinformatics 2009 Jul 15;25(14):1754-60.
  29. Korneliussen TS, Albrechtsen A, Nielsen R. ANGSD: Analysis of Next Generation Sequencing Data.. BMC Bioinformatics 2014 Nov 25;15(1):356.
    pmc: PMC4248462pubmed: 25420514doi: 10.1186/s12859-014-0356-4google scholar: lookup
  30. Meisner J, Albrechtsen A. Inferring Population Structure and Admixture Proportions in Low-Depth NGS Data.. Genetics 2018 Oct;210(2):719-731.
    pmc: PMC6216594pubmed: 30131346doi: 10.1534/genetics.118.301336google scholar: lookup
  31. Lee H, O'Connor BD, Merriman B, Funari VA, Homer N, Chen Z, Cohn DH, Nelson SF. Improving the efficiency of genomic loci capture using oligonucleotide arrays for high throughput resequencing.. BMC Genomics 2009 Dec 31;10:646.
    pmc: PMC2808330pubmed: 20043857doi: 10.1186/1471-2164-10-646google scholar: lookup
  32. Carpenter ML, Buenrostro JD, Valdiosera C, Schroeder H, Allentoft ME, Sikora M, Rasmussen M, Gravel S, Guillén S, Nekhrizov G, Leshtakov K, Dimitrova D, Theodossiev N, Pettener D, Luiselli D, Sandoval K, Moreno-Estrada A, Li Y, Wang J, Gilbert MT, Willerslev E, Greenleaf WJ, Bustamante CD. Pulling out the 1%: whole-genome capture for the targeted enrichment of ancient DNA sequencing libraries.. Am J Hum Genet 2013 Nov 7;93(5):852-64.
    pmc: PMC3824117pubmed: 24568772doi: 10.1016/j.ajhg.2013.10.002google scholar: lookup
  33. Samorodnitsky E, Datta J, Jewell BM, Hagopian R, Miya J, Wing MR, Damodaran S, Lippus JM, Reeser JW, Bhatt D, Timmers CD, Roychowdhury S. Comparison of custom capture for targeted next-generation DNA sequencing.. J Mol Diagn 2015 Jan;17(1):64-75.
  34. Cruz-Dávalos DI, Llamas B, Gaunitz C, Fages A, Gamba C, Soubrier J, Librado P, Seguin-Orlando A, Pruvost M, Alfarhan AH, Alquraishi SA, Al-Rasheid KAS, Scheu A, Beneke N, Ludwig A, Cooper A, Willerslev E, Orlando L. Experimental conditions improving in-solution target enrichment for ancient DNA.. Mol Ecol Resour 2017 May;17(3):508-522.
    pubmed: 27566552doi: 10.1111/1755-0998.12595google scholar: lookup
  35. Zhou J, Zhang M, Li X, Wang Z, Pan D, Shi Y. Performance comparison of four types of target enrichment baits for exome DNA sequencing.. Hereditas 2021 Feb 17;158(1):10.
    pmc: PMC7888174pubmed: 33597004doi: 10.1186/s41065-021-00171-3google scholar: lookup
  36. So AP, Vilborg A, Bouhlal Y, Koehler RT, Grimes SM, Pouliot Y, Mendoza D, Ziegle J, Stein J, Goodsaid F, Lucero MY, De La Vega FM, Ji HP. A robust targeted sequencing approach for low input and variable quality DNA from clinical samples.. NPJ Genom Med 2018;3:2.
    pmc: PMC5768874pubmed: 29354287doi: 10.1038/s41525-017-0041-4google scholar: lookup
  37. Diaz LA Jr, Bardelli A. Liquid biopsies: genotyping circulating tumor DNA.. J Clin Oncol 2014 Feb 20;32(6):579-86.
    pmc: PMC4820760pubmed: 24449238doi: 10.1200/jco.2012.45.2011google scholar: lookup
  38. Szilágyi M, Pös O, Márton É, Buglyó G, Soltész B, Keserű J, Penyige A, Szemes T, Nagy B. Circulating Cell-Free Nucleic Acids: Main Characteristics and Clinical Application.. Int J Mol Sci 2020 Sep 17;21(18).
    pmc: PMC7555669pubmed: 32957662doi: 10.3390/ijms21186827google scholar: lookup
  39. Murchie TJ, Kuch M, Duggan AT, Ledger ML, Roche K, Klunk J, Karpinski E, Hackenberger D, Sadoway T, MacPhee R. Optimizing extraction and targeted capture of ancient environmental DNA for reconstructing past environments using the PalaeoChip Arctic-1.0 bait-set. Quat. Res. 2021; 99:305–328.
  40. Brandhagen MD, Loreille O, Irwin JA. Fragmented Nuclear DNA is the Predominant Genetic Material in Human Hair Shafts.. Genes (Basel) 2018 Dec 18;9(12).
    pmc: PMC6316335pubmed: 30567392doi: 10.3390/genes9120640google scholar: lookup
  41. Marchini J, Howie B. Genotype imputation for genome-wide association studies.. Nat Rev Genet 2010 Jul;11(7):499-511.
    pubmed: 20517342doi: 10.1038/nrg2796google scholar: lookup

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