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

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          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.

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          Universal and rapid salt-extraction of high quality genomic DNA for PCR-based techniques.

          A very simple, fast, universally applicable and reproducible method to extract high quality megabase genomic DNA from different organisms is described. We applied the same method to extract high quality complex genomic DNA from different tissues (wheat, barley, potato, beans, pear and almond leaves as well as fungi, insects and shrimps' fresh tissue) without any modification. The method does not require expensive and environmentally hazardous reagents and equipment. It can be performed even in low technology laboratories. The amount of tissue required by this method is approximately 50-100 mg. The quantity and the quality of the DNA extracted by this method is high enough to perform hundreds of PCR-based reactions and also to be used in other DNA manipulation techniques such as restriction digestion, Southern blot and cloning.
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            Is Open Access

            Double indexing overcomes inaccuracies in multiplex sequencing on the Illumina platform

            Due to the increasing throughput of current DNA sequencing instruments, sample multiplexing is necessary for making economical use of available sequencing capacities. A widely used multiplexing strategy for the Illumina Genome Analyzer utilizes sample-specific indexes, which are embedded in one of the library adapters. However, this and similar multiplex approaches come with a risk of sample misidentification. By introducing indexes into both library adapters (double indexing), we have developed a method that reveals the rate of sample misidentification within current multiplex sequencing experiments. With ~0.3% these rates are orders of magnitude higher than expected and may severely confound applications in cancer genomics and other fields requiring accurate detection of rare variants. We identified the occurrence of mixed clusters on the flow as the predominant source of error. The accuracy of sample identification is further impaired if indexed oligonucleotides are cross-contaminated or if indexed libraries are amplified in bulk. Double-indexing eliminates these problems and increases both the scope and accuracy of multiplex sequencing on the Illumina platform.
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              Ultraconserved elements anchor thousands of genetic markers spanning multiple evolutionary timescales.

              Although massively parallel sequencing has facilitated large-scale DNA sequencing, comparisons among distantly related species rely upon small portions of the genome that are easily aligned. Methods are needed to efficiently obtain comparable DNA fragments prior to massively parallel sequencing, particularly for biologists working with non-model organisms. We introduce a new class of molecular marker, anchored by ultraconserved genomic elements (UCEs), that universally enable target enrichment and sequencing of thousands of orthologous loci across species separated by hundreds of millions of years of evolution. Our analyses here focus on use of UCE markers in Amniota because UCEs and phylogenetic relationships are well-known in some amniotes. We perform an in silico experiment to demonstrate that sequence flanking 2030 UCEs contains information sufficient to enable unambiguous recovery of the established primate phylogeny. We extend this experiment by performing an in vitro enrichment of 2386 UCE-anchored loci from nine, non-model avian species. We then use alignments of 854 of these loci to unambiguously recover the established evolutionary relationships within and among three ancient bird lineages. Because many organismal lineages have UCEs, this type of genetic marker and the analytical framework we outline can be applied across the tree of life, potentially reshaping our understanding of phylogeny at many taxonomic levels.
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                peerj
                peerj
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                11 October 2019
                2019
                : 7
                : e7755
                Affiliations
                [1 ]Department of Environmental Health Science, University of Georgia , Athens, GA, United States of America
                [2 ]Interdisciplinary Toxicology Program, University of Georgia , Athens, GA, United States of America
                [3 ]Department of Genetics, University of Georgia , Athens, GA, United States of America
                [4 ]Georgia Genomics and Bioinformatics Core, University of Georgia , Athens, GA, United States of America
                [5 ]Institute of Bioinformatics, University of Georgia , Athens, GA, United States of America
                [6 ]Department of Pediatrics, School of Medicine, University of California San Diego , La Jolla, CA, United States of America
                [7 ]Laboratorio de Genética para la Conservación, Centro de Investigaciones Biológicas del Noroeste, SC, Instituto Politécnico Nacional , La Paz, Mexico
                [8 ]Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE) , Ensenada, Baja California, Mexico
                [9 ]Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison , Madison, WI, United States of America
                [10 ]Integrated Research and Development Laboratory, Marshfield Clinic Research Institute , Marshfield, WI, United States of America
                [11 ]Department of Poultry Science, University of Georgia , Athens, GA, United States of America
                [12 ]Department of Animal and Dairy Science, University of Georgia , Athens, GA, United States of America
                [13 ]Department of Plant Biology, University of Georgia , Athens, GA, United States of America
                [14 ]Department of Infectious Diseases, University of Georgia , Athens, GA, United States of America
                [15 ]University of Alaska Museum , Fairbanks, AK, United States of America
                [16 ]Department of Biological Sciences and Museum of Natural Science, Louisiana State University , Baton Rouge, LA, United States of America
                [17 ] Current affiliation:  Department of Small Animal Medicine, College of Veterinary Medicine, University of Georgia , Athens, GA, United States of America
                [18 ] Current affiliation:  Cornell Institute for Host—Microbe Interaction and Disease, Cornell University , Ithaca, United States of America
                [19 ] Current affiliation:  Department of Biological Sciences, Auburn University , Auburn, AL, United States of America
                [20 ] Current affiliation:  Department of Ecology and Evolutionary Biology, University of Tennessee , Knoxville, TN, United States of America
                [21 ] Current affiliation:  LeafWorks Inc. , Sebastopol, CA, United States of America
                [22 ] Current affiliation:  Department of Ecology, Evolution, and Environmental Biology, Columbia University , New York, NY, United States of America
                Article
                7755
                10.7717/peerj.7755
                6791352
                31616586
                abfc2eff-ab6e-43b1-9004-c9d9a0041687
                ©2019 Glenn et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 12 May 2019
                : 26 August 2019
                Funding
                Funded by: Dimensions of Biodiversity
                Award ID: DEB-1242241
                Award ID: DEB-1242260
                Award ID: DEB-1136626
                Award ID: DEB-1146440
                Funded by: Graduate Research Fellowships
                Award ID: DGE-0903734
                Award ID: DGE-1452154
                Funded by: Partnerships for International Research and Education (PIRE)
                Award ID: OISE 0730218
                Funded by: U.S. National Science Foundation; CICESE
                Award ID: O0F092
                Funded by: SAGARPA-FIRCO
                Award ID: RGA-BCS-12-000003
                Funded by: UCMEXUS
                Award ID: CN-13-617
                Funded by: CB-CONACYT
                Award ID: 106925
                Award ID: 157993
                This work was supported by: DEB-1242241, DEB-1242260, Dimensions of Biodiversity DEB-1136626, DEB-1146440, Graduate Research Fellowships DGE-0903734 and DGE-1452154, and Partnerships for International Research and Education (PIRE) OISE 0730218 from the U.S. National Science Foundation; CICESE (internal project O0F092), SAGARPA-FIRCO (grant RGA-BCS-12-000003); UCMEXUS (grant CN-13-617); and CB-CONACYT (grants 106925 and 157993). There was no additional external funding received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Bioinformatics
                Genetics
                Genomics
                Public Health

                illumina,next generation sequencing,novaseq,sample preparation,pooling,multiplexing,adapters,primers

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