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      In-solution Y-chromosome capture-enrichment on ancient DNA libraries

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          Abstract

          Background

          As most ancient biological samples have low levels of endogenous DNA, it is advantageous to enrich for specific genomic regions prior to sequencing. One approach—in-solution capture-enrichment—retrieves sequences of interest and reduces the fraction of microbial DNA. In this work, we implement a capture-enrichment approach targeting informative regions of the Y chromosome in six human archaeological remains excavated in the Caribbean and dated between 200 and 3000 years BP. We compare the recovery rate of Y-chromosome capture (YCC) alone, whole-genome capture followed by YCC (WGC + YCC) versus non-enriched (pre-capture) libraries.

          Results

          The six samples show different levels of initial endogenous content, with very low (< 0.05%, 4 samples) or low (0.1–1.54%, 2 samples) percentages of sequenced reads mapping to the human genome. We recover 12–9549 times more targeted unique Y-chromosome sequences after capture, where 0.0–6.2% (WGC + YCC) and 0.0–23.5% (YCC) of the sequence reads were on-target, compared to 0.0–0.00003% pre-capture. In samples with endogenous DNA content greater than 0.1%, we found that WGC followed by YCC (WGC + YCC) yields lower enrichment due to the loss of complexity in consecutive capture experiments, whereas in samples with lower endogenous content, the libraries’ initial low complexity leads to minor proportions of Y-chromosome reads. Finally, increasing recovery of informative sites enabled us to assign Y-chromosome haplogroups to some of the archeological remains and gain insights about their paternal lineages and origins.

          Conclusions

          We present to our knowledge the first in-solution capture-enrichment method targeting the human Y-chromosome in aDNA sequencing libraries. YCC and WGC + YCC enrichments lead to an increase in the amount of Y-DNA sequences, as compared to libraries not enriched for the Y-chromosome. Our probe design effectively recovers regions of the Y-chromosome bearing phylogenetically informative sites, allowing us to identify paternal lineages with less sequencing than needed for pre-capture libraries. Finally, we recommend considering the endogenous content in the experimental design and avoiding consecutive rounds of capture, as clonality increases considerably with each round.

          Electronic supplementary material

          The online version of this article (10.1186/s12864-018-4945-x) contains supplementary material, which is available to authorized users.

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          Most cited references26

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          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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            Genomic insights into the origin of farming in the ancient Near East

            We report genome-wide ancient DNA from 44 ancient Near Easterners ranging in time between ~12,000-1,400 BCE, from Natufian hunter-gatherers to Bronze Age farmers. We show that the earliest populations of the Near East derived around half their ancestry from a ‘Basal Eurasian’ lineage that had little if any Neanderthal admixture and that separated from other non-African lineages prior to their separation from each other. The first farmers of the southern Levant (Israel and Jordan) and Zagros Mountains (Iran) were strongly genetically differentiated, and each descended from local hunter-gatherers. By the time of the Bronze Age, these two populations and Anatolian-related farmers had mixed with each other and with the hunter-gatherers of Europe to drastically reduce genetic differentiation. The impact of the Near Eastern farmers extended beyond the Near East: farmers related to those of Anatolia spread westward into Europe; farmers related to those of the Levant spread southward into East Africa; farmers related to those from Iran spread northward into the Eurasian steppe; and people related to both the early farmers of Iran and to the pastoralists of the Eurasian steppe spread eastward into South Asia.
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              DNA analysis of an early modern human from Tianyuan Cave, China.

              Hominins with morphology similar to present-day humans appear in the fossil record across Eurasia between 40,000 and 50,000 y ago. The genetic relationships between these early modern humans and present-day human populations have not been established. We have extracted DNA from a 40,000-y-old anatomically modern human from Tianyuan Cave outside Beijing, China. Using a highly scalable hybridization enrichment strategy, we determined the DNA sequences of the mitochondrial genome, the entire nonrepetitive portion of chromosome 21 (∼30 Mbp), and over 3,000 polymorphic sites across the nuclear genome of this individual. The nuclear DNA sequences determined from this early modern human reveal that the Tianyuan individual derived from a population that was ancestral to many present-day Asians and Native Americans but postdated the divergence of Asians from Europeans. They also show that this individual carried proportions of DNA variants derived from archaic humans similar to present-day people in mainland Asia.
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                Author and article information

                Contributors
                diana-ivette.cruz-davalos@unil.ch
                mnievesc@asu.edu
                asockell@gmail.com
                david.poznik@gmail.com
                hschroeder@snm.ku.dk
                acstone@asu.edu
                cdbustam@stanford.edu
                annasapfo.malaspinas@unil.ch
                mavila@liigh.unam.mx
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                14 August 2018
                14 August 2018
                2018
                : 19
                : 608
                Affiliations
                [1 ]ISNI 0000 0001 0726 5157, GRID grid.5734.5, Institute of Ecology and Evolution, , University of Bern, ; Bern, Switzerland
                [2 ]ISNI 0000 0001 2159 0001, GRID grid.9486.3, International Laboratory for Human Genome Research, , National Autonomous University of Mexico, ; Mexico, Mexico
                [3 ]ISNI 0000 0001 2165 4204, GRID grid.9851.5, Department of Computational Biology, , University of Lausanne, ; Lausanne, Switzerland
                [4 ]ISNI 0000 0001 2223 3006, GRID grid.419765.8, Swiss Institute of Bioinformatics, ; Lausanne, Switzerland
                [5 ]ISNI 0000 0001 2151 2636, GRID grid.215654.1, School of Human Evolution and Social Change, , Arizona State University, ; Tempe, USA
                [6 ]ISNI 0000000419368956, GRID grid.168010.e, Department of Genetics, , Stanford University, ; Stanford, USA
                [7 ]GRID grid.420283.f, 23andMe, ; Mountain View, USA
                [8 ]ISNI 0000 0001 0674 042X, GRID grid.5254.6, Natural History Museum of Denmark, , University of Copenhagen, ; Copenhagen, Denmark
                [9 ]ISNI 0000 0001 2312 1970, GRID grid.5132.5, Faculty of Archaeology, , Leiden University, ; Leiden, Netherlands
                [10 ]ISNI 0000 0001 2151 2636, GRID grid.215654.1, Institute of Human Origins, , Arizona State University, ; Tempe, USA
                [11 ]ISNI 0000000419368956, GRID grid.168010.e, Department of Biomedical Data Science, , Stanford University, ; Stanford, USA
                Article
                4945
                10.1186/s12864-018-4945-x
                6092841
                30107783
                4cdc3d5e-fa5b-4f30-a498-a1312db442f7
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 22 November 2017
                : 16 July 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100005739, Universidad Nacional Autónoma de México;
                Award ID: IA206817
                Funded by: FundRef http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: FP7/2007-2013, grant no. 290344, EUROTAST
                Award Recipient :
                Categories
                Methodology Article
                Custom metadata
                © The Author(s) 2018

                Genetics
                ancient dna,capture-enrichment,y chromosome
                Genetics
                ancient dna, capture-enrichment, y chromosome

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