{"entity": "researcher", "timestamp": "2026-03-10T03:44:55.689Z", "family": "van der Valk", "given": "Tom", "initials": "T", "orcid": "0000-0001-6582-3452", "affiliations": [], "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/researcher/aa0dba3cc12143cba213f7f3a052216c.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/researcher/aa0dba3cc12143cba213f7f3a052216c"}}, "publications": [{"entity": "publication", "iuid": "f5e0c130e1784f818079a60a79ae857f", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/f5e0c130e1784f818079a60a79ae857f.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/f5e0c130e1784f818079a60a79ae857f"}}, "title": "aMeta: an accurate and memory-efficient ancient metagenomic profiling workflow", "authors": [{"family": "Pochon", "given": "Zo\u00e9", "initials": "Z", "orcid": "0000-0001-7981-5795", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/86bda59888834d6889a108f8abbdb0fa.json"}}, {"family": "Bergfeldt", "given": "Nora", "initials": "N", "orcid": "0000-0003-2767-8156", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/9141014a18c54129b99af1006ff76f9b.json"}}, {"family": "K\u0131rd\u00f6k", "given": "Emrah", "initials": "E", "orcid": "0000-0003-0500-1208", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/3a60c96525a642b4be97e15a53de250b.json"}}, {"family": "Vicente", "given": "M\u00e1rio", "initials": "M", "orcid": "0000-0002-9122-4530", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/70f79b138afe4df99b780eb97ebdbc13.json"}}, {"family": "Naidoo", "given": "Thijessen", "initials": "T"}, {"family": "van der Valk", "given": "Tom", "initials": "T", "orcid": "0000-0001-6582-3452", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/aa0dba3cc12143cba213f7f3a052216c.json"}}, {"family": "Alt\u0131n\u0131\u015f\u0131k", "given": "N Ezgi", "initials": "NE", "orcid": "0000-0003-0653-4292", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/f06df27a24874d5e9b11db34a31730d1.json"}}, {"family": "Krzewi\u0144ska", "given": "Maja", "initials": "M", "orcid": "0000-0002-6702-8724", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/02faff0c060a4c25a13a9c7556dd30c3.json"}}, {"family": "Dal\u00e9n", "given": "Love", "initials": "L", "orcid": "0000-0001-6307-8188", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/6ff87fd5aabe4a38954dd96d8e6c261d.json"}}, {"family": "G\u00f6therstr\u00f6m", "given": "Anders", "initials": "A", "orcid": "0000-0001-8579-1304", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/0c4e61575ab14fe3aa59190a82521921.json"}}, {"family": "Mirabello", "given": "Claudio", "initials": "C", "orcid": "0000-0001-7868-034X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/f4ca88bb3cf24e2591c447ec929502e6.json"}}, {"family": "Unneberg", "given": "Per", "initials": "P", "orcid": "0000-0001-5735-3315", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/47dae455224d4af4a35865907088f0b1.json"}}, {"family": "Oskolkov", "given": "Nikolay", "initials": "N", "orcid": "0000-0001-5326-8893", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/3c448f1b878442c687d58549f90ba4e9.json"}}], "type": "journal-article", "published": "2023-10-23", "journal": {"title": "Genome Biol.", "issn": "1474-760X", "issn-l": "1474-7596", "volume": "24", "issue": "1", "pages": "242"}, "abstract": "Analysis of microbial data from archaeological samples is a growing field with great potential for understanding ancient environments, lifestyles, and diseases. However, high error rates have been a challenge in ancient metagenomics, and the availability of computational frameworks that meet the demands of the field is limited. Here, we propose aMeta, an accurate metagenomic profiling workflow for ancient DNA designed to minimize the amount of false discoveries and computer memory requirements. Using simulated data, we benchmark aMeta against a current state-of-the-art workflow and demonstrate its superiority in microbial detection and authentication, as well as substantially lower usage of computer memory.", "doi": "10.1186/s13059-023-03083-9", "pmid": "37872569", "labels": {"Tom van der Valk": null, "DDLS Fellow": null}, "xrefs": [{"db": "pmc", "key": "PMC10591440"}, {"db": "pii", "key": "10.1186/s13059-023-03083-9"}], "notes": [], "created": "2022-12-02T13:45:21.283Z", "modified": "2025-12-04T16:53:57.886Z"}, {"entity": "publication", "iuid": "df4795e44b4949ed85aa1a9c3a966746", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/df4795e44b4949ed85aa1a9c3a966746.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/df4795e44b4949ed85aa1a9c3a966746"}}, "title": "Genomic trajectories of a near-extinction event in the Chatham Island black robin.", "authors": [{"family": "von Seth", "given": "Johanna", "initials": "J"}, {"family": "van der Valk", "given": "Tom", "initials": "T", "orcid": "0000-0001-6582-3452", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/aa0dba3cc12143cba213f7f3a052216c.json"}}, {"family": "Lord", "given": "Edana", "initials": "E"}, {"family": "Sigeman", "given": "Hanna", "initials": "H"}, {"family": "Olsen", "given": "Remi-Andr\u00e9", "initials": "RA"}, {"family": "Knapp", "given": "Michael", "initials": "M"}, {"family": "Kardailsky", "given": "Olga", "initials": "O"}, {"family": "Robertson", "given": "Fiona", "initials": "F"}, {"family": "Hale", "given": "Marie", "initials": "M"}, {"family": "Houston", "given": "Dave", "initials": "D"}, {"family": "Kennedy", "given": "Euan", "initials": "E"}, {"family": "Dal\u00e9n", "given": "Love", "initials": "L"}, {"family": "Nor\u00e9n", "given": "Karin", "initials": "K"}, {"family": "Massaro", "given": "Melanie", "initials": "M"}, {"family": "Robertson", "given": "Bruce C", "initials": "BC"}, {"family": "Dussex", "given": "Nicolas", "initials": "N"}], "type": "journal article", "published": "2022-11-10", "journal": {"title": "BMC Genomics", "issn": "1471-2164", "volume": "23", "issue": "1", "pages": "747", "issn-l": "1471-2164"}, "abstract": "Understanding the micro--evolutionary response of populations to demographic declines is a major goal in evolutionary and conservation biology. In small populations, genetic drift can lead to an accumulation of deleterious mutations, which will increase the risk of extinction. However, demographic recovery can still occur after extreme declines, suggesting that natural selection may purge deleterious mutations, even in extremely small populations. The Chatham Island black robin (Petroica traversi) is arguably the most inbred bird species in the world. It avoided imminent extinction in the early 1980s and after a remarkable recovery from a single pair, a second population was established and the two extant populations have evolved in complete isolation since then. Here, we analysed 52 modern and historical genomes to examine the genomic consequences of this extreme bottleneck and the subsequent translocation.\n\nWe found evidence for two-fold decline in heterozygosity and three- to four-fold increase in inbreeding in modern genomes. Moreover, there was partial support for temporal reduction in total load for detrimental variation. In contrast, compared to historical genomes, modern genomes showed a significantly higher realised load, reflecting the temporal increase in inbreeding. Furthermore, the translocation induced only small changes in the frequency of deleterious alleles, with the majority of detrimental variation being shared between the two populations.\n\nOur results highlight the dynamics of mutational load in a species that recovered from the brink of extinction, and show rather limited temporal changes in mutational load. We hypothesise that ancestral purging may have been facilitated by population fragmentation and isolation on several islands for thousands of generations and may have already reduced much of the highly deleterious load well before human arrival and introduction of pests to the archipelago. The majority of fixed deleterious variation was shared between the modern populations, but translocation of individuals with low mutational load could possibly mitigate further fixation of high-frequency deleterious variation.", "doi": "10.1186/s12864-022-08963-1", "pmid": "36357860", "labels": {"Tom van der Valk": null, "DDLS Fellow": null}, "xrefs": [{"db": "pmc", "key": "PMC9647977"}, {"db": "pii", "key": "10.1186/s12864-022-08963-1"}], "notes": [], "created": "2022-12-02T13:45:19.103Z", "modified": "2025-04-29T07:05:08.598Z"}]}