{"entity": "researcher", "timestamp": "2026-08-07T18:23:10.344Z", "family": "Svensson", "given": "Daniel", "initials": "D", "orcid": "0000-0002-4476-9255", "affiliations": ["Department of Chemistry, Computational Life Science Cluster, Ume\u00e5 University, Ume\u00e5, Sweden."], "links": {"self": {"href": "https://publications.scilifelab.se/researcher/75bc51f60237478abec1fb2969abc873.json"}, "display": {"href": "https://publications.scilifelab.se/researcher/75bc51f60237478abec1fb2969abc873"}}, "publications": [{"entity": "publication", "iuid": "cc266f15720044ff97f0c84859c74dbf", "links": {"self": {"href": "https://publications.scilifelab.se/publication/cc266f15720044ff97f0c84859c74dbf.json"}, "display": {"href": "https://publications.scilifelab.se/publication/cc266f15720044ff97f0c84859c74dbf"}}, "title": "Airborne eDNA captures three decades of ecosystem biodiversity.", "authors": [{"family": "Sullivan", "given": "Alexis R", "initials": "AR"}, {"family": "Karlsson", "given": "Edvin", "initials": "E"}, {"family": "Svensson", "given": "Daniel", "initials": "D", "orcid": "0000-0002-4476-9255", "researcher": {"href": "https://publications.scilifelab.se/researcher/75bc51f60237478abec1fb2969abc873.json"}}, {"family": "Brindefalk", "given": "Bj\u00f6rn", "initials": "B", "orcid": "0000-0001-8524-778X", "researcher": {"href": "https://publications.scilifelab.se/researcher/75f852c1e5144ff3acda53bcec520001.json"}}, {"family": "Villegas", "given": "Jose Antonio", "initials": "JA"}, {"family": "Mikko", "given": "Amanda", "initials": "A", "orcid": "0009-0002-7701-8180", "researcher": {"href": "https://publications.scilifelab.se/researcher/3bca394a219142d68195e45f756dd686.json"}}, {"family": "Bellieny", "given": "Daniel", "initials": "D"}, {"family": "Siddique", "given": "Abu Bakar", "initials": "AB", "orcid": "0000-0002-3178-523X", "researcher": {"href": "https://publications.scilifelab.se/researcher/a19c155f873b4ec194a0ba07d9bbff92.json"}}, {"family": "Johansson", "given": "Anna-Mia", "initials": "AM"}, {"family": "Grahn", "given": "H\u00e5kan", "initials": "H", "orcid": "0000-0002-8936-3101", "researcher": {"href": "https://publications.scilifelab.se/researcher/c5806ae054ec4cf1b67ee151bfd95b2f.json"}}, {"family": "Sundell", "given": "David", "initials": "D"}, {"family": "Norman", "given": "Anita", "initials": "A", "orcid": "0000-0002-9499-758X", "researcher": {"href": "https://publications.scilifelab.se/researcher/a1966d9c4e0f4c2c89702c8ef319264c.json"}}, {"family": "Esseen", "given": "Per-Anders", "initials": "PA"}, {"family": "Sj\u00f6din", "given": "Andreas", "initials": "A", "orcid": "0000-0001-5350-4219", "researcher": {"href": "https://publications.scilifelab.se/researcher/6398d7c06a414ea6bcaf2579a8587452.json"}}, {"family": "Singh", "given": "Navinder J", "initials": "NJ", "orcid": "0000-0002-5131-0004", "researcher": {"href": "https://publications.scilifelab.se/researcher/0bae3b76bb4a4f95a77e41cd929637ff.json"}}, {"family": "Brodin", "given": "Tomas", "initials": "T", "orcid": "0000-0003-1086-7567", "researcher": {"href": "https://publications.scilifelab.se/researcher/8140649bc5e140369d031c78fc416ae2.json"}}, {"family": "Forsman", "given": "Mats", "initials": "M", "orcid": "0000-0002-4466-5325", "researcher": {"href": "https://publications.scilifelab.se/researcher/b52b5a759a3e452b80728241c50c76dd.json"}}, {"family": "Stenberg", "given": "Per", "initials": "P", "orcid": "0000-0003-4738-4788", "researcher": {"href": "https://publications.scilifelab.se/researcher/3e9b9949cf994f6c93d60261eb530d1b.json"}}], "type": "journal article", "published": "2025-12-18", "journal": {"title": "Nat Commun", "issn": "2041-1723", "volume": "16", "issue": "1", "pages": "11281", "issn-l": "2041-1723"}, "abstract": "Biodiversity loss threatens ecosystems and human well-being, making accurate, large-scale monitoring crucial. Environmental DNA (eDNA) has enabled species detection from substrates such as water, without the need for direct observation. Lately, airborne eDNA has been showing promise for tracking organisms from insects to mammals in terrestrial ecosystems. Conventional biodiversity assessments are often labor-intensive and limited in scope, leaving gaps in our understanding of ecosystem response to environmental change. Here, we demonstrate that airborne eDNA can detect organisms across the tree of life, quantify changes in abundance congruent with traditional monitoring, and reveal land-use induced regional decline of diversity in a northern boreal ecosystem over more than three decades. By analyzing 34 years of archived aerosol filters, we reconstruct weekly temporal relative abundance data for more than 2700 genera using non-targeted methods. This study provides unified, ecosystem-scale biodiversity surveillance spanning multiple decades, with data collected at weekly intervals on both the individual species and community level. Previously, large scale analyses of ecosystem changes, targeting all types of organisms, has been prohibitively expensive and difficult to attempt. Here, we present a way of holistically doing this type of analysis in a single framework.", "doi": "10.1038/s41467-025-67676-7", "pmid": "41413054", "labels": {"National Genomics Infrastructure": "Service", "NGI Short read": "Service", "NGI Uppsala (SNP&SEQ Technology Platform)": "Service"}, "xrefs": [{"db": "pmc", "key": "PMC12717267"}, {"db": "pii", "key": "10.1038/s41467-025-67676-7"}], "notes": [], "created": "2026-03-25T07:37:10.622Z", "modified": "2026-03-25T07:37:11.494Z"}, {"entity": "publication", "iuid": "946798060ff74dd29d4437469e57b3d1", "links": {"self": {"href": "https://publications.scilifelab.se/publication/946798060ff74dd29d4437469e57b3d1.json"}, "display": {"href": "https://publications.scilifelab.se/publication/946798060ff74dd29d4437469e57b3d1"}}, "title": "A whole-genome sequenced control population in northern Sweden reveals subregional genetic differences.", "authors": [{"family": "Svensson", "given": "Daniel", "initials": "D", "orcid": "0000-0002-4476-9255", "researcher": {"href": "https://publications.scilifelab.se/researcher/75bc51f60237478abec1fb2969abc873.json"}}, {"family": "Rentoft", "given": "Matilda", "initials": "M"}, {"family": "Dahlin", "given": "Anna M", "initials": "AM"}, {"family": "Lundholm", "given": "Emma", "initials": "E"}, {"family": "Olason", "given": "Pall I", "initials": "PI"}, {"family": "Sj\u00f6din", "given": "Andreas", "initials": "A", "orcid": "0000-0001-5350-4219", "researcher": {"href": "https://publications.scilifelab.se/researcher/6398d7c06a414ea6bcaf2579a8587452.json"}}, {"family": "Nylander", "given": "Carin", "initials": "C"}, {"family": "Melin", "given": "Beatrice S", "initials": "BS"}, {"family": "Trygg", "given": "Johan", "initials": "J", "orcid": "0000-0003-3799-6094", "researcher": {"href": "https://publications.scilifelab.se/researcher/7df02186ac1a4a60952737b1690363b7.json"}}, {"family": "Johansson", "given": "Erik", "initials": "E", "orcid": "0000-0002-8526-6224", "researcher": {"href": "https://publications.scilifelab.se/researcher/3503f87335764d4185fade92739855e9.json"}}], "type": "journal article", "published": "2020-09-11", "journal": {"title": "PLoS ONE", "issn": "1932-6203", "volume": "15", "issue": "9", "pages": "e0237721", "issn-l": "1932-6203"}, "abstract": "The number of national reference populations that are whole-genome sequenced are rapidly increasing. Partly driving this development is the fact that genetic disease studies benefit from knowing the genetic variation typical for the geographical area of interest. A whole-genome sequenced Swedish national reference population (n = 1000) has been recently published but with few samples from northern Sweden. In the present study we have whole-genome sequenced a control population (n = 300) (ACpop) from V\u00e4sterbotten County, a sparsely populated region in northern Sweden previously shown to be genetically different from southern Sweden. The aggregated variant frequencies within ACpop are publicly available (DOI 10.17044/NBIS/G000005) to function as a basic resource in clinical genetics and for genetic studies. Our analysis of ACpop, representing approximately 0.11% of the population in V\u00e4sterbotten, indicates the presence of a genetic substructure within the county. Furthermore, a demographic analysis showed that the population from which samples were drawn was to a large extent geographically stationary, a finding that was corroborated in the genetic analysis down to the level of municipalities. Including ACpop in the reference population when imputing unknown variants in a V\u00e4sterbotten cohort resulted in a strong increase in the number of high-confidence imputed variants (up to 81% for variants with minor allele frequency < 5%). ACpop was initially designed for cancer disease studies, but the genetic structure within the cohort will be of general interest for all genetic disease studies in northern Sweden.", "doi": "10.1371/journal.pone.0237721", "pmid": "32915809", "labels": {"National Genomics Infrastructure": "Service", "NGI Uppsala (SNP&SEQ Technology Platform)": "Service", "Bioinformatics Support for Computational Resources": "Service"}, "xrefs": [{"db": "pii", "key": "PONE-D-20-06062"}, {"db": "pmc", "key": "PMC7485808"}], "notes": [], "created": "2020-12-08T23:48:26.250Z", "modified": "2024-01-16T13:48:41.742Z"}]}