Magdy S. Alabady, PhD


Faculty, Scientist and Director



Department of Plant Biology


University of Georgia Athens


Address 1:
Department of Plant Biology
2502 Miller Plant Sciences
University of Georgia
Athens, GA 30602

Address 2:
Georgia Genomics and Bioinformatics Lab
110 Riverbend Rd., Room 161
Athens, GA 30602



Adapterama I: universal stubs and primers for 384 unique dual-indexed or 147,456 combinatorially-indexed Illumina libraries (iTru & iNext)


Journal article


T. Glenn, R. Nilsen, Troy J. Kieran, J. Sanders, N. Bayona‐Vásquez, J. W. Finger, Todd W. Pierson, K. Bentley, Sandra L. Hoffberg, S. Louha, F. J. García-De León, M. A. del Rio Portilla, K. Reed, Jennifer L. Anderson, J. Meece, S. Aggrey, R. Rekaya, Magdy S. Alabady, Myriam Bélanger, K. Winker, B. Faircloth
PeerJ, 2019

Semantic Scholar DOI PubMedCentral PubMed
Cite

Cite

APA
Glenn, T., Nilsen, R., Kieran, T. J., Sanders, J., Bayona‐Vásquez, N., Finger, J. W., … Faircloth, B. (2019). Adapterama I: universal stubs and primers for 384 unique dual-indexed or 147,456 combinatorially-indexed Illumina libraries (iTru & iNext). PeerJ.

Chicago/Turabian
Glenn, T., R. Nilsen, Troy J. Kieran, J. Sanders, N. Bayona‐Vásquez, J. W. Finger, Todd W. Pierson, et al. “Adapterama I: Universal Stubs and Primers for 384 Unique Dual-Indexed or 147,456 Combinatorially-Indexed Illumina Libraries (ITru & INext).” PeerJ (2019).

MLA
Glenn, T., et al. “Adapterama I: Universal Stubs and Primers for 384 Unique Dual-Indexed or 147,456 Combinatorially-Indexed Illumina Libraries (ITru & INext).” PeerJ, 2019.


Abstract

Massively parallel DNA sequencing offers many benefits, but major inhibitory cost factors include: (1) start-up (i.e., purchasing initial reagents and equipment); (2) buy-in (i.e., getting the smallest possible amount of data from a run); and (3) sample preparation. Reducing sample preparation costs is commonly addressed, but start-up and buy-in costs are rarely addressed. We present dual-indexing systems to address all three of these issues. By breaking the library construction process into universal, re-usable, combinatorial components, we reduce all costs, while increasing the number of samples and the variety of library types that can be combined within runs. We accomplish this by extending the Illumina TruSeq dual-indexing approach to 768 (384 + 384) indexed primers that produce 384 unique dual-indexes or 147,456 (384 × 384) unique combinations. We maintain eight nucleotide indexes, with many that are compatible with Illumina index sequences. We synthesized these indexing primers, purifying them with only standard desalting and placing small aliquots in replicate plates. In qPCR validation tests, 206 of 208 primers tested passed (99% success). We then created hundreds of libraries in various scenarios. Our approach reduces start-up and per-sample costs by requiring only one universal adapter that works with indexed PCR primers to uniquely identify samples. Our approach reduces buy-in costs because: (1) relatively few oligonucleotides are needed to produce a large number of indexed libraries; and (2) the large number of possible primers allows researchers to use unique primer sets for different projects, which facilitates pooling of samples during sequencing. Our libraries make use of standard Illumina sequencing primers and index sequence length and are demultiplexed with standard Illumina software, thereby minimizing customization headaches. In subsequent Adapterama papers, we use these same primers with different adapter stubs to construct amplicon and restriction-site associated DNA libraries, but their use can be expanded to any type of library sequenced on Illumina platforms.