TY - JOUR A1 - Taron, Ulrike H. A1 - Lell, Moritz A1 - Barlow, Axel A1 - Paijmans, Johanna L. A. T1 - Testing of Alignment Parameters for Ancient Samples BT - Evaluating and Optimizing Mapping Parameters for Ancient Samples Using the TAPAS Tool JF - Genese N2 - High-throughput sequence data retrieved from ancient or other degraded samples has led to unprecedented insights into the evolutionary history of many species, but the analysis of such sequences also poses specific computational challenges. The most commonly used approach involves mapping sequence reads to a reference genome. However, this process becomes increasingly challenging with an elevated genetic distance between target and reference or with the presence of contaminant sequences with high sequence similarity to the target species. The evaluation and testing of mapping efficiency and stringency are thus paramount for the reliable identification and analysis of ancient sequences. In this paper, we present ‘TAPAS’, (Testing of Alignment Parameters for Ancient Samples), a computational tool that enables the systematic testing of mapping tools for ancient data by simulating sequence data reflecting the properties of an ancient dataset and performing test runs using the mapping software and parameter settings of interest. We showcase TAPAS by using it to assess and improve mapping strategy for a degraded sample from a banded linsang (Prionodon linsang), for which no closely related reference is currently available. This enables a 1.8-fold increase of the number of mapped reads without sacrificing mapping specificity. The increase of mapped reads effectively reduces the need for additional sequencing, thus making more economical use of time, resources, and sample material. KW - ancient DNA KW - short-read mapping KW - palaeogenomics KW - paleogenomics KW - alignment sensitivity/specificity Y1 - 2018 U6 - https://doi.org/10.3390/genes9030157 SN - 2073-4425 VL - 9 IS - 3 PB - MDPI CY - Basel ER - TY - JOUR A1 - Alberti, Federica A1 - Gonzalez, Javier A1 - Paijmans, Johanna L. A. A1 - Basler, Nikolas A1 - Preick, Michaela A1 - Henneberger, Kirstin A1 - Trinks, Alexandra A1 - Rabeder, Gernot A1 - Conard, Nicholas J. A1 - Muenzel, Susanne C. A1 - Joger, Ulrich A1 - Fritsch, Guido A1 - Hildebrandt, Thomas A1 - Hofreiter, Michael A1 - Barlow, Axel T1 - Optimized DNA sampling of ancient bones using Computed Tomography scans JF - Molecular ecology resources N2 - The prevalence of contaminant microbial DNA in ancient bone samples represents the principal limiting factor for palaeogenomic studies, as it may comprise more than 99% of DNA molecules obtained. Efforts to exclude or reduce this contaminant fraction have been numerous but also variable in their success. Here, we present a simple but highly effective method to increase the relative proportion of endogenous molecules obtained from ancient bones. Using computed tomography (CT) scanning, we identify the densest region of a bone as optimal for sampling. This approach accurately identifies the densest internal regions of petrous bones, which are known to be a source of high-purity ancient DNA. For ancient long bones, CT scans reveal a high-density outermost layer, which has been routinely removed and discarded prior to DNA extraction. For almost all long bones investigated, we find that targeted sampling of this outermost layer provides an increase in endogenous DNA content over that obtained from softer, trabecular bone. This targeted sampling can produce as much as 50-fold increase in the proportion of endogenous DNA, providing a directly proportional reduction in sequencing costs for shotgun sequencing experiments. The observed increases in endogenous DNA proportion are not associated with any reduction in absolute endogenous molecule recovery. Although sampling the outermost layer can result in higher levels of human contamination, some bones were found to have more contamination associated with the internal bone structures. Our method is highly consistent, reproducible and applicable across a wide range of bone types, ages and species. We predict that this discovery will greatly extend the potential to study ancient populations and species in the genomics era. KW - ancient DNA KW - computer tomography KW - palaeogenomics KW - paleogenetics KW - petrous bone Y1 - 2018 U6 - https://doi.org/10.1111/1755-0998.12911 SN - 1755-098X SN - 1755-0998 VL - 18 IS - 6 SP - 1196 EP - 1208 PB - Wiley CY - Hoboken ER - TY - GEN A1 - Taron, Ulrike H. A1 - Lell, Moritz A1 - Barlow, Axel A1 - Paijmans, Johanna L. A. T1 - Testing of Alignment Parameters for Ancient Samples BT - Evaluating and Optimizing Mapping Parameters for Ancient Samples Using the TAPAS Tool T2 - Genes N2 - High-throughput sequence data retrieved from ancient or other degraded samples has led to unprecedented insights into the evolutionary history of many species, but the analysis of such sequences also poses specific computational challenges. The most commonly used approach involves mapping sequence reads to a reference genome. However, this process becomes increasingly challenging with an elevated genetic distance between target and reference or with the presence of contaminant sequences with high sequence similarity to the target species. The evaluation and testing of mapping efficiency and stringency are thus paramount for the reliable identification and analysis of ancient sequences. In this paper, we present ‘TAPAS’, (Testing of Alignment Parameters for Ancient Samples), a computational tool that enables the systematic testing of mapping tools for ancient data by simulating sequence data reflecting the properties of an ancient dataset and performing test runs using the mapping software and parameter settings of interest. We showcase TAPAS by using it to assess and improve mapping strategy for a degraded sample from a banded linsang (Prionodon linsang), for which no closely related reference is currently available. This enables a 1.8-fold increase of the number of mapped reads without sacrificing mapping specificity. The increase of mapped reads effectively reduces the need for additional sequencing, thus making more economical use of time, resources, and sample material. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 415 KW - ancient DNA KW - short-read mapping KW - palaeogenomics KW - alignment sensitivity / specificity Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-409683 ER - TY - JOUR A1 - Taron, Ulrike H. A1 - Lell, Moritz A1 - Barlow, Axel A1 - Paijmans, Johanna L. A. T1 - Testing of Alignment Parameters for Ancient Samples BT - Evaluating and Optimizing Mapping Parameters for Ancient Samples Using the TAPAS Tool JF - Genes N2 - High-throughput sequence data retrieved from ancient or other degraded samples has led to unprecedented insights into the evolutionary history of many species, but the analysis of such sequences also poses specific computational challenges. The most commonly used approach involves mapping sequence reads to a reference genome. However, this process becomes increasingly challenging with an elevated genetic distance between target and reference or with the presence of contaminant sequences with high sequence similarity to the target species. The evaluation and testing of mapping efficiency and stringency are thus paramount for the reliable identification and analysis of ancient sequences. In this paper, we present ‘TAPAS’, (Testing of Alignment Parameters for Ancient Samples), a computational tool that enables the systematic testing of mapping tools for ancient data by simulating sequence data reflecting the properties of an ancient dataset and performing test runs using the mapping software and parameter settings of interest. We showcase TAPAS by using it to assess and improve mapping strategy for a degraded sample from a banded linsang (Prionodon linsang), for which no closely related reference is currently available. This enables a 1.8-fold increase of the number of mapped reads without sacrificing mapping specificity. The increase of mapped reads effectively reduces the need for additional sequencing, thus making more economical use of time, resources, and sample material. KW - ancient DNA KW - short-read mapping KW - palaeogenomics KW - alignment sensitivity / specificity Y1 - 2018 U6 - https://doi.org/10.3390/genes9030157 SN - 2073-4425 VL - 9 IS - 3 SP - 1 EP - 12 PB - Molecular Diversity Preservation International CY - Basel ER -