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      Population genomics of ancient and modern Trichuris trichiura

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          Abstract

          The neglected tropical disease trichuriasis is caused by the whipworm Trichuris trichiura, a soil-transmitted helminth that has infected humans for millennia. Today, T. trichiura infects as many as 500 million people, predominantly in communities with poor sanitary infrastructure enabling sustained faecal-oral transmission. Using whole-genome sequencing of geographically distributed worms collected from human and other primate hosts, together with ancient samples preserved in archaeologically-defined latrines and deposits dated up to one thousand years old, we present the first population genomics study of T. trichiura. We describe the continent-scale genetic structure between whipworms infecting humans and baboons relative to those infecting other primates. Admixture and population demographic analyses support a stepwise distribution of genetic variation that is highest in Uganda, consistent with an African origin and subsequent translocation with human migration. Finally, genome-wide analyses between human samples and between human and non-human primate samples reveal local regions of genetic differentiation between geographically distinct populations. These data provide insight into zoonotic reservoirs of human-infective T. trichiura and will support future efforts toward the implementation of genomic epidemiology of this globally important helminth.

          Abstract

          The whipworm Trichuris trichiura is a soil-transmitted helminth that causes the neglected tropical disease trichuriasis in humans. Here, the authors produce whole genome sequences of modern and ancient samples from humans and non-human primates to characterise the genomic diversity and evolution of this pathogen.

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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            Fast and sensitive protein alignment using DIAMOND.

            The alignment of sequencing reads against a protein reference database is a major computational bottleneck in metagenomics and data-intensive evolutionary projects. Although recent tools offer improved performance over the gold standard BLASTX, they exhibit only a modest speedup or low sensitivity. We introduce DIAMOND, an open-source algorithm based on double indexing that is 20,000 times faster than BLASTX on short reads and has a similar degree of sensitivity.
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              Detecting the number of clusters of individuals using the software structure: a simulation study

              The identification of genetically homogeneous groups of individuals is a long standing issue in population genetics. A recent Bayesian algorithm implemented in the software STRUCTURE allows the identification of such groups. However, the ability of this algorithm to detect the true number of clusters (K) in a sample of individuals when patterns of dispersal among populations are not homogeneous has not been tested. The goal of this study is to carry out such tests, using various dispersal scenarios from data generated with an individual-based model. We found that in most cases the estimated 'log probability of data' does not provide a correct estimation of the number of clusters, K. However, using an ad hoc statistic DeltaK based on the rate of change in the log probability of data between successive K values, we found that STRUCTURE accurately detects the uppermost hierarchical level of structure for the scenarios we tested. As might be expected, the results are sensitive to the type of genetic marker used (AFLP vs. microsatellite), the number of loci scored, the number of populations sampled, and the number of individuals typed in each sample.
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                Author and article information

                Contributors
                stephen.doyle@sanger.ac.uk
                chk@plen.ku.dk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                6 July 2022
                6 July 2022
                2022
                : 13
                : 3888
                Affiliations
                [1 ]GRID grid.10306.34, ISNI 0000 0004 0606 5382, Wellcome Sanger Institute, ; Hinxton, Cambridgeshire UK
                [2 ]GRID grid.5254.6, ISNI 0000 0001 0674 042X, Department of Plant and Environmental Sciences, , University of Copenhagen, ; Frederiksberg, Denmark
                [3 ]GRID grid.7048.b, ISNI 0000 0001 1956 2722, Department of Clinical Medicine, , Aarhus University, ; Aarhus N, Denmark
                [4 ]GRID grid.5475.3, ISNI 0000 0004 0407 4824, School of Veterinary Medicine, , University of Surrey, ; Guildford, UK
                [5 ]GRID grid.264200.2, ISNI 0000 0000 8546 682X, Institute of Infection and Immunity, , St George’s University of London, ; London, UK
                [6 ]GRID grid.442217.6, ISNI 0000 0001 0435 9828, School of Medicine, , Universidad Internacional del Ecuador, ; Quito, Ecuador
                [7 ]GRID grid.410560.6, ISNI 0000 0004 1760 3078, Department of Parasitology, , School of Basic Medical Sciences, Guangdong Medical University, ; Zhanjiang, Guangdong Province People’s Republic of China
                [8 ]GRID grid.412545.3, ISNI 0000 0004 1798 1300, College of Veterinary Medicine, , Shanxi Agricultural University, ; Taigu, Shanxi Province People’s Republic of China
                [9 ]GRID grid.411793.9, ISNI 0000 0004 1936 9318, Department of Health Sciences, , Brock University, St. Catharines, ; Ontario, Canada
                [10 ]GRID grid.10601.36, ISNI 0000 0001 2297 2829, Microbiology Research Institute, , Ciudad Universitaria, Universidad Nacional Autónoma de Honduras, ; Tegucigalpa, Honduras
                [11 ]GRID grid.9224.d, ISNI 0000 0001 2168 1229, Departamento de Microbiología y Parasitología, Facultad de Farmacia, , Universidad de Sevilla, ; Sevilla, Spain
                [12 ]GRID grid.412661.6, ISNI 0000 0001 2173 8504, Faculty of Sciences, , University of Yaoundé I, ; Yaoundé, Cameroon
                [13 ]GRID grid.411903.e, ISNI 0000 0001 2034 9160, Institute of Health, School of Medical Laboratory Sciences, , Jimma University, ; Jimma, Ethiopia
                [14 ]GRID grid.452776.5, Public Health Laboratory Ivo de Carneri, ; Pemba, Tanzania
                [15 ]GRID grid.415705.2, Vector Control Division, Ministry of Health, ; Kampala, Uganda
                [16 ]GRID grid.5342.0, ISNI 0000 0001 2069 7798, Department of Translational Physiology, Infectiology and Public Health, , Ghent University, ; Ghent, Belgium
                Author information
                http://orcid.org/0000-0001-9167-7532
                http://orcid.org/0000-0002-0386-6294
                http://orcid.org/0000-0003-2530-4628
                http://orcid.org/0000-0002-6683-2518
                http://orcid.org/0000-0001-9756-4520
                http://orcid.org/0000-0003-3418-7291
                http://orcid.org/0000-0002-9581-0377
                http://orcid.org/0000-0002-4837-5974
                http://orcid.org/0000-0002-9539-457X
                Article
                31487
                10.1038/s41467-022-31487-x
                9259628
                35794092
                d7ea8dec-bc32-4f63-9155-10f97b18eab5
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 21 October 2021
                : 17 June 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100000265, RCUK | Medical Research Council (MRC);
                Award ID: MR/T020733/1
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100004440, Wellcome Trust (Wellcome);
                Award ID: 206194
                Award Recipient :
                Funded by: Fund for Shanxi “1331 Project” [20211331-13] and the Special Research Fund of Shanxi Agricultural University for High-level Talents [2021XG001]
                Categories
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                Custom metadata
                © The Author(s) 2022

                Uncategorized
                epidemiology,parasite genomics,parasite evolution
                Uncategorized
                epidemiology, parasite genomics, parasite evolution

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