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  • 1.
    Ge, Deyan
    et al.
    Key Laboratory of Zoological Systematics and Evolution Institute of Zoology, Chinese Academy of Sciences Beijing China.
    Qu, Yanhua
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics. Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
    Deng, Tao
    CAS Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of Botany, Chinese Academy of Sciences Kunming China.
    Thuiller, Wilfried
    Univ. Grenoble Alpes Univ. Savoie Mont Blanc, CNRS, LECA Laboratoire d'Ecologie Alpine Grenoble France.
    Fišer, Cene
    Biotechnical Faculty University of Ljubljana Ljubljana Slovenia.
    Ericson, Per G P
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Guo, Baocheng
    Key Laboratory of Zoological Systematics and Evolution Institute of Zoology, Chinese Academy of Sciences Beijing China.
    de la Sancha, Noé U.
    Department of Biological Sciences Chicago State University Illinois Chicago USA.
    von der Heyden, Sophie
    Evolutionary Genomics Group Department of Botany and Zoology Stellenbosch University Matieland South Africa.
    Hou, Zhonge
    Key Laboratory of Zoological Systematics and Evolution Institute of Zoology, Chinese Academy of Sciences Beijing China.
    Li, Jiatang
    CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology, Chinese Academy of Sciences Chengdu, Sichuan China.
    Abramov, Alexei
    Zoological Institute Russian Academy of Sciences Saint Petersburg Russia.
    Vogler, Alfried P.
    Department of Life Sciences Imperial College London Ascot UK.
    Jønsson, Knud A.
    Natural History Museum of Denmark University of Copenhagen Copenhagen East Denmark.
    Mittermeier, Russell
    Re:wild Austin Texas USA.
    New progress in exploring the mechanisms underlying extraordinarily high biodiversity in global hotspots and their implications for conservation2022In: Diversity & distributions: A journal of biological invasions and biodiversity, ISSN 1366-9516, E-ISSN 1472-4642, Vol. 28, no 12, p. 2448-2458Article in journal (Refereed)
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  • 2.
    Irestedt, Martin
    et al.
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics. Department of Bioinformatics and Genetics Swedish Museum of Natural History Stockholm Sweden.
    Thörn, Filip
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics. Department of Bioinformatics and Genetics Swedish Museum of Natural History Stockholm Sweden;Department of Zoology Stockholm University Stockholm Sweden.
    Müller, Ingo A.
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics. Department of Bioinformatics and Genetics Swedish Museum of Natural History Stockholm Sweden;Department of Zoology Stockholm University Stockholm Sweden.
    Jønsson, Knud A.
    Natural History Museum of Denmark University of Copenhagen Copenhagen Denmark.
    Ericson, Per G. P.
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics. Department of Bioinformatics and Genetics Swedish Museum of Natural History Stockholm Sweden.
    Blom, Mozes P. K.
    Museum für Naturkunde Leibniz Institut für Evolutions‐ und Biodiversitätsforschung Berlin Germany.
    A guide to avian museomics: Insights gained from resequencing hundreds of avian study skins2022In: Molecular Ecology Resources, ISSN 1755-098X, E-ISSN 1755-0998, Vol. 22, no 7, p. 2672-2684Article in journal (Refereed)
    Abstract [en]

    Biological specimens in natural history collections constitute a massive repository of genetic information. Many specimens have been collected in areas in which they no longer exist or in areas where present-day collecting is not possible. There are also specimens in collections representing populations or species that have gone extinct. Furthermore, species or populations may have been sampled throughout an extensive time period, which is particularly valuable for studies of genetic change through time. With the advent of high-throughput sequencing, natural history museum resources have become accessible for genomic research. Consequently, these unique resources are increasingly being used across many fields of natural history. In this paper, we summarize our experiences of resequencing hundreds of genomes from historical avian museum specimens. We publish the protocols we have used and discuss the entire workflow from sampling and laboratory procedures, to the bioinformatic processing of historical specimen data.

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  • 3.
    Kennedy, Jonathan D.
    et al.
    Natural History Museum of Denmark University of Copenhagen Copenhagen Ø Denmark.
    Marki, Petter Z.
    Natural History Museum of Denmark University of Copenhagen Copenhagen Ø Denmark;Division of Research Management University of Agder Kristiansand Norway.
    Reeve, Andrew H.
    Natural History Museum of Denmark University of Copenhagen Copenhagen Ø Denmark.
    Blom, Mozes P. K.
    Museum für Naturkunde Berlin Leibniz Institut für Evolutions und Biodiversitätsforschung Berlin Germany.
    Prawiradilaga, Dewi M.
    Museum Zoologicum Bogoriense LIPI/The National Research and Innovation Agency of the Republic of Indonesia (BRIN) Cibinong Science Center Cibinong Indonesia.
    Haryoko, Tri
    Museum Zoologicum Bogoriense LIPI/The National Research and Innovation Agency of the Republic of Indonesia (BRIN) Cibinong Science Center Cibinong Indonesia.
    Koane, Bonny
    The New Guinea Binatang Research Centre Madang Papua New Guinea.
    Kamminga, Pepijn
    <idGroup xmlns="http://www.wiley.com/namespaces/wiley"> <id type="ringgold" value="4503"></id> </idGroup> Naturalis Biodiversity Center Leiden The Netherlands.
    Irestedt, Martin
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics. Department of Bioinformatics and Genetics Swedish Museum of Natural History Stockholm Sweden.
    Jønsson, Knud A.
    Natural History Museum of Denmark University of Copenhagen Copenhagen Ø Denmark.
    Diversification and community assembly of the world’s largest tropical island2022In: Global Ecology and Biogeography, ISSN 1466-822X, E-ISSN 1466-8238, Vol. 31, no 6, p. 1078-1089Article in journal (Refereed)
    Abstract [en]

    Aim

    The species diversity and endemism of tropical biotas are major contributors to global biodiversity, but the factors underlying the formation of these systems remain poorly understood.

    Location

    The world's largest tropical island, New Guinea.

    Time period

    Miocene to present.

    Major taxa studied

    Passerine birds.

    Methods

    We first generated a species-level phylogeny of all native breeding passerine birds to analyse spatial and elevational patterns of species richness, species age and phylogenetic diversity. Second, we used an existing dataset on bill morphology to analyse spatial and elevational patterns of functional diversity.

    Results

    The youngest New Guinean species are principally distributed in the lowlands and outlying mountain ranges, with the lowlands also maintaining the majority of non-endemic species. In contrast, many species occurring in the central mountain range are phylogenetically distinct, range-restricted, endemic lineages. Centres of accumulation for the oldest species are in montane forest, with these taxa having evolved unique bill forms in comparison to the remaining New Guinean species. For the morphological generalists, attaining a highland distribution does not necessarily represent the end to dispersal and diversification, because a number of new species have formed in the outlying mountain ranges, following recent colonization from the central range.

    Main conclusions

    We conclude that a general model of tropical montane diversification is that lineages commonly colonize the lowlands, shifting their ranges upslope through time to become range-restricted montane forest endemics, attaining novel functional adaptations to these environments.

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  • 4.
    Marki, Petter Z.
    et al.
    Univ Copenhagen, Nat Hist Museum, Ctr Macroecol Evolut & Climate, Univ Pk 15, DK-2100 Copenhagen, Denmark.;Univ Oslo, Nat Hist Museum, POB 1172, N-0318 Oslo, Norway..
    Jønsson, Knud A.
    Univ Copenhagen, Nat Hist Museum, Ctr Macroecol Evolut & Climate, Univ Pk 15, DK-2100 Copenhagen, Denmark..
    Irestedt, Martin
    Swedish Museum of Natural History, Department of Paleobiology.
    Nguyen, Jacqueline M. T.
    Australian Museum, Australian Museum Res Inst, 1 William St, Sydney, NSW 2010, Australia..
    Rahbek, Carsten
    Univ Copenhagen, Nat Hist Museum, Ctr Macroecol Evolut & Climate, Univ Pk 15, DK-2100 Copenhagen, Denmark.;Imperial Coll London, Dept Life Sci, Silwood Pk Campus, Ascot SL5 7PY, Berks, England..
    Fjeldsa, Jon
    Univ Copenhagen, Nat Hist Museum, Ctr Macroecol Evolut & Climate, Univ Pk 15, DK-2100 Copenhagen, Denmark..
    Supermatrix phylogeny and biogeography of the Australasian Meliphagides radiation (Aves: Passeriformes)2017In: Molecular Phylogenetics and Evolution, ISSN 1055-7903, E-ISSN 1095-9513, Vol. 107, p. 516-529Article in journal (Refereed)
    Abstract [en]

    With nearly 300 species, the infraorder Meliphagides represents one of the largest and most conspicuous Australasian bird radiations. Although the group has been the focus of a number of recent phylogenetic studies, a comprehensive species-level phylogenetic hypothesis is still lacking. This has impeded the assessment of broad-scale evolutionary, biogeographic and ecological hypotheses. In the present study, we use a supermatrix approach including five mitochondrial and four nuclear markers to infer a time calibrated phylogeny of the Meliphagides. Our phylogeny, which includes 286 of the 289 (99%) currently recognized species, is largely congruent with previous estimates. However, the addition of 60 newly sequenced species reveals some novel relationships. Our biogeographic analyses suggest an Australian origin for the group in the early Oligocene (31.3 Mya, 95% HPD 25.2-38.2 Mya). In addition, we find that dispersal events out of Australia have been numerous and frequent, particularly to New Guinea, which has also been the source of multiple back-colonizations to the Australian mainland. The phylogeny provides an important framework for studying a wide variety of macroecological and macroevolutionary themes, including character evolution, origin and timing of diversification, biogeographic patterns and species responses to climate change. (C) 2016 Elsevier Inc. All rights reserved.

  • 5.
    Peona, Valentina
    et al.
    Department of Organismal Biology—Systematic Biology, Uppsala University, Uppsala, Sweden.
    Palacios-Gimenez, Octavio M.
    Department of Organismal Biology—Systematic Biology, Uppsala University, Uppsala, Sweden.
    Blommaert, Julie
    Department of Organismal Biology—Systematic Biology, Uppsala University, Uppsala, Sweden.
    Liu, Jing
    MOE Laboratory of Biosystems Homeostasis and Protection, Life Sciences Institute, Zhejiang University, Hangzhou, People's Republic of China;Department of Neuroscience and Development, University of Vienna, Vienna, Austria.
    Haryoko, Tri
    Museum Zoologicum Bogoriense, Research Centre for Biology, Indonesian Institute of Sciences (LIPI), Cibinong, Indonesia.
    Jønsson, Knud A.
    Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
    Irestedt, Martin
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics. Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.
    Zhou, Qi
    MOE Laboratory of Biosystems Homeostasis and Protection, Life Sciences Institute, Zhejiang University, Hangzhou, People's Republic of China;Department of Neuroscience and Development, University of Vienna, Vienna, Austria;Center for Reproductive Medicine, The 2nd Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310052, People's Republic of China.
    Jern, Patric
    Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
    Suh, Alexander
    Department of Organismal Biology—Systematic Biology, Uppsala University, Uppsala, Sweden;School of Biological Sciences—Organisms and the Environment, University of East Anglia, Norwich, UK.
    The avian W chromosome is a refugium for endogenous retroviruses with likely effects on female-biased mutational load and genetic incompatibilities2021In: Philosophical Transactions of the Royal Society of London. Biological Sciences, ISSN 0962-8436, E-ISSN 1471-2970, Vol. 376, no 1833, p. 20200186-20200186Article in journal (Refereed)
    Abstract [en]

    It is a broadly observed pattern that the non-recombining regions of sex-limited chromosomes (Y and W) accumulate more repeats than the rest of the genome, even in species like birds with a low genome-wide repeat content. Here, we show that in birds with highly heteromorphic sex chromosomes, the W chromosome has a transposable element (TE) density of greater than 55% compared to the genome-wide density of less than 10%, and contains over half of all full-length (thus potentially active) endogenous retroviruses (ERVs) of the entire genome. Using RNA-seq and protein mass spectrometry data, we were able to detect signatures of female-specific ERV expression. We hypothesize that the avian W chromosome acts as a refugium for active ERVs, probably leading to female-biased mutational load that may influence female physiology similar to the ‘toxic-Y’ effect in Drosophila males. Furthermore, Haldane's rule predicts that the heterogametic sex has reduced fertility in hybrids. We propose that the excess of W-linked active ERVs over the rest of the genome may be an additional explanatory variable for Haldane's rule, with consequences for genetic incompatibilities between species through TE/repressor mismatches in hybrids. Together, our results suggest that the sequence content of female-specific W chromosomes can have effects far beyond sex determination and gene dosage.

  • 6. Reeve, Andrew Hart
    et al.
    Kennedy, Jonathan David
    Pujolar, José Martín
    Petersen, Bent
    Blom, Mozes P. K.
    Alström, Per
    Haryoko, Tri
    Ericson, Per G. P.
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Irestedt, Martin
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics. Naturhistoriska riksmuseet.
    Nylander, Johan A. A.
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Jønsson, Knud Andreas
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    The formation of the Indo-Pacific montane avifauna2023In: Nature Communications, E-ISSN 2041-1723, Vol. 14, no 1, article id 8215Article in journal (Refereed)
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  • 7. SANGSTER, GEORGE
    et al.
    MARKI, PETTER ZAHL
    GAUDIN, JIMMY
    IRESTEDT, MARTIN
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics. Naturhistoriska riksmuseet.
    JØNSSON, KNUD A.
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    A new genus for Pycnopygius cinereus/P. ixoides (Aves: Meliphagidae)2023In: Zootaxa, ISSN 1175-5326, E-ISSN 1175-5334, Vol. 5330, no 1, p. 147-150Article in journal (Refereed)
  • 8. Seibel, Elena
    et al.
    Um, Soohyun
    Dayras, Marie
    Bodawatta, Kasun H.
    de Kruijff, Martinus
    Jønsson, Knud A.
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Poulsen, Michael
    Kim, Ki Hyun
    Beemelmanns, Christine
    Genome mining for macrolactam-encoding gene clusters allowed for the network-guided isolation of β-amino acid-containing cyclic derivatives and heterologous production of ciromicin A2023In: Communications Chemistry, E-ISSN 2399-3669, E-ISSN 2399-3669, Vol. 6, no 1, article id 257Article in journal (Refereed)
    Abstract [en]

    β-Amino acid-containing macrolactams represent a structurally diverse group of bioactive natural products derived from polyketides; however we are currently lacking a comprehensive overview about their abundance across bacterial families and the underlying biosynthetic diversity. In this study, we employed a targeted β-amino acid-specific homology-based multi-query search to identify potential bacterial macrolactam producers. Here we demonstrate that approximately 10% of each of the identified actinobacterial genera harbor a biosynthetic gene cluster (BGC) encoding macrolactam production. Based on our comparative study, we propose that mutations occurring in specific regions of polyketide synthases (PKS) are the primary drivers behind the variation in macrolactam ring sizes. We successfully validated two producers of ciromicin A from the genus Amycolatopsis, revised the composition of the biosynthetic gene cluster region mte of macrotermycins, and confirmed the ciromicin biosynthetic pathway through heterologous expression. Additionally, network-based metabolomic analysis uncovered three previously unreported macrotermycin congeners from Amycolatopsis sp. M39. The combination of targeted mining and network-based analysis serves as a powerful tool for identifying macrolactam producers and our studies will catalyze the future discovery of yet unreported macrolactams.

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