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We're thrilled to announce the official launch of NGI OpenLab, an innovative space designed to empower genomics research. The lab provides direct access to equipment for quality control (QC), library preparation and a walk-up sequencer for on-the-go sequencing needs.
Following our recent announcement regarding the addition of the Illumina MiSeq i100 to our fleet, we are now providing formal notice regarding the decommissioning of our legacy MiSeq instruments.
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A TetR-family transcription factor regulates fatty acid metabolism in the archaeal model organism Sulfolobus acidocaldarius.
K Wang, D Sybers, HR Maklad, L Lemmens, C Lewyllie, X Zhou, F Schult, C Bräsen, B Siebers, K Valegård, AC Lindås, E Peeters
Nat Commun, 10 (1) 2041-1723 (2019)
Fatty acid metabolism and its regulation are known to play important roles in bacteria and eukaryotes. By contrast, although certain archaea appear to metabolize fatty acids, the regulation of the underlying pathways in these organisms remains unclear. Here, we show that a TetR-family transcriptional regulator (FadR Sa) is involved in regulation of fatty acid metabolism in the crenarchaeon Sulfolobus acidocaldarius. Functional and structural analyses show that FadRSa binds to DNA at semi-palindromic recognition sites in two distinct stoichiometric binding modes depending on the operator sequence. Genome-wide transcriptomic and chromatin immunoprecipitation analyses demonstrate that the protein binds to only four genomic sites, acting as a repressor of a 30-kb gene cluster comprising 23 open reading frames encoding lipases and β-oxidation enzymes. Fatty acyl-CoA molecules cause dissociation of FadRSa binding by inducing conformational changes in the protein. Our results indicate that, despite its similarity in overall structure to bacterial TetR-family FadR regulators, FadRSa displays a different acyl-CoA binding mode and a distinct regulatory mechanism.
Biomolecular analyses reveal the age, sex and species identity of a near-intact Pleistocene bird carcass.
N Dussex, DWG Stanton, H Sigeman, PGP Ericson, J Gill, DC Fisher, AV Protopopov, VL Herridge, V Plotnikov, B Hansson, L Dalén
Commun Biol, 3 (1) 2399-3642 (2020)
Ancient remains found in permafrost represent a rare opportunity to study past ecosystems. Here, we present an exceptionally well-preserved ancient bird carcass found in the Siberian permafrost, along with a radiocarbon date and a reconstruction of its complete mitochondrial genome. The carcass was radiocarbon dated to approximately 44-49 ka BP, and was genetically identified as a female horned lark. This is a species that usually inhabits open habitat, such as the steppe environment that existed in Siberia at the time. This near-intact carcass highlights the potential of permafrost remains for evolutionary studies that combine both morphology and ancient nucleic acids.
An intronic copy number variation in Syntaxin 17 determines speed of greying and melanoma incidence in Grey horses.
CJ Rubin, M Hodge, R Naboulsi, M Beckman, RR Bellone, A Kallenberg, S J'Usrey, H Ohmura, K Seki, R Furukawa, A Ohnuma, BW Davis, T Tozaki, G Lindgren, L Andersson
Nat Commun, 15 (1) 2041-1723 (2024)
The Greying with age phenotype in horses involves loss of hair pigmentation whereas skin pigmentation is not reduced, and a predisposition to melanoma. The causal mutation was initially reported as a duplication of a 4.6 kb intronic sequence in Syntaxin 17. The speed of greying varies considerably among Grey horses. Here we demonstrate the presence of two different Grey alleles, G2 carrying two tandem copies of the duplicated sequence and G3 carrying three. The latter is by far the most common allele, probably due to strong selection for the striking white phenotype. Our results reveal a remarkable dosage effect where the G3 allele is associated with fast greying and high incidence of melanoma whereas G2 is associated with slow greying and low incidence of melanoma. The copy number expansion transforms a weak enhancer to a strong melanocyte-specific enhancer that underlies hair greying (G2 and G3) and a drastically elevated risk of melanoma (G3 only). Our direct pedigree-based observation of the origin of a G2 allele from a G3 allele by copy number contraction demonstrates the dynamic evolution of this locus and provides the ultimate evidence for causality of the copy number variation of the 4.6 kb intronic sequence.
Maintenance of High Genome Integrity over Vegetative Growth in the Fairy-Ring Mushroom Marasmius oreades
M Hiltunen, M Grudzinska-Sterno, O Wallerman, M Ryberg, H Johannesson
Current Biology, 29 (16) 0960-9822 (2019)
Most mutations in coding regions of the genome are deleterious, causing selection to favor mechanisms that minimize the mutational load over time [1-5]. DNA replication during cell division is a major source of new mutations. It is therefore important to limit the number of cell divisions between generations, particularly for large and long-lived organisms [6-9]. The germline cells of animals and the slowly dividing cells in plant meristems are adaptations to control the number of mutations that accumulate over generations [9-11]. Fungi lack a separated germline while harboring species with very large and long-lived individuals that appear to maintain highly stable genomes within their mycelia [8, 12, 13]. Here, we studied genomic mutation accumulation in the fairy-ring mushroom Marasmius oreades. We generated a chromosome-level genome assembly using a combination of cutting-edge DNA sequencing technologies and re-sequenced 40 samples originating from six individuals of this fungus. The low number of mutations recovered in the sequencing data suggests the presence of an unknown mechanism that works to maintain extraordinary genome integrity over vegetative growth in M. oreades. The highly structured growth pattern of M. oreades allowed us to estimate the number of cell divisions leading up to each sample [14, 15], and from this data, we infer an incredibly low per mitosis mutation rate (3.8 × 10 -12 mutations per site and cell division) as one of several possible explanations for the low number of identified mutations.
Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
S Kanoni, SE Graham, Y Wang, I Surakka, S Ramdas, X Zhu, SL Clarke, KF Bhatti, S Vedantam, TW Winkler, AE Locke, E Marouli, GJM Zajac, KHH Wu, I Ntalla, Q Hui, D Klarin, AT Hilliard, Z Wang, C Xue, G Thorleifsson, A Helgadottir, DF Gudbjartsson, H Holm, I Olafsson, MY Hwang, S Han, M Akiyama, S Sakaue, C Terao, M Kanai, W Zhou, BM Brumpton, H Rasheed, AS Havulinna, Y Veturi, JA Pacheco, EA Rosenthal, T Lingren, Q Feng, IJ Kullo, A Narita, J Takayama, HC Martin, KA Hunt, B Trivedi, J Haessler, F Giulianini, Y Bradford, JE Miller, A Campbell, K Lin, IY Millwood, A Rasheed, G Hindy, JD Faul, W Zhao, DR Weir, C Turman, H Huang, M Graff, A Choudhury, D Sengupta, A Mahajan, MR Brown, W Zhang, K Yu, EM Schmidt, A Pandit, S Gustafsson, X Yin, J Luan, JH Zhao, F Matsuda, HM Jang, K Yoon, C Medina-Gomez, A Pitsillides, JJ Hottenga, AR Wood, Y Ji, Z Gao, S Haworth, NA Yousri, RE Mitchell, JF Chai, M Aadahl, AA Bjerregaard, J Yao, A Manichaikul, CM Hwu, YJ Hung, HR Warren, J Ramirez, J Bork-Jensen, LL Kårhus, A Goel, M Sabater-Lleal, R Noordam, P Mauro, F Matteo, AF McDaid, P Marques-Vidal, M Wielscher, S Trompet, N Sattar, LT Møllehave, M Munz, L Zeng, J Huang, B Yang, A Poveda, A Kurbasic, C Lamina, L Forer, M Scholz, TE Galesloot, JP Bradfield, SE Ruotsalainen, E Daw, JM Zmuda, JS Mitchell, C Fuchsberger, H Christensen, JA Brody, M Vazquez-Moreno, MF Feitosa, MK Wojczynski, Z Wang, MH Preuss, M Mangino, P Christofidou, N Verweij, JW Benjamins, J Engmann, NL Tsao, A Verma, RC Slieker, KS Lo, NR Zilhao, P Le, ME Kleber, GE Delgado, S Huo, DD Ikeda, H Iha, J Yang, J Liu, A Demirkan, HL Leonard, J Marten, M Frank, B Schmidt, LJ Smyth, M Cañadas-Garre, C Wang, M Nakatochi, A Wong, N Hutri-Kähönen, X Sim, R Xia, A Huerta-Chagoya, JC Fernandez-Lopez, V Lyssenko, SS Nongmaithem, S Bayyana, HM Stringham, MR Irvin, C Oldmeadow, HN Kim, S Ryu, PRHJ Timmers, L Arbeeva, R Dorajoo, LA Lange, G Prasad, L Lorés-Motta, M Pauper, J Long, X Li, E Theusch, F Takeuchi, CN Spracklen, A Loukola, S Bollepalli, SC Warner, YX Wang, WB Wei, T Nutile, D Ruggiero, YJ Sung, S Chen, F Liu, J Yang, KA Kentistou, B Banas, GG Nardone, K Meidtner, LF Bielak, JA Smith, P Hebbar, AE Farmaki, E Hofer, M Lin, MP Concas, S Vaccargiu, PJ van der Most, N Pitkänen, BE Cade, SW van der Laan, KN Chitrala, S Weiss, AR Bentley, AP Doumatey, AA Adeyemo, JY Lee, ERB Petersen, AA Nielsen, HS Choi, M Nethander, S Freitag-Wolf, L Southam, NW Rayner, CA Wang, SY Lin, JS Wang, C Couture, LP Lyytikäinen, K Nikus, G Cuellar-Partida, H Vestergaard, B Hidalgo, O Giannakopoulou, Q Cai, MO Obura, J van Setten, X Li, J Liang, H Tang, N Terzikhan, JH Shin, RD Jackson, AP Reiner, LW Martin, Z Chen, L Li, T Kawaguchi, J Thiery, JC Bis, LJ Launer, H Li, MA Nalls, OT Raitakari, S Ichihara, SH Wild, CP Nelson, H Campbell, S Jäger, T Nabika, F Al-Mulla, H Niinikoski, PS Braund, I Kolcic, P Kovacs, T Giardoglou, T Katsuya, D de Kleijn, GJ de Borst, EK Kim, HHH Adams, MA Ikram, X Zhu, FW Asselbergs, AO Kraaijeveld, JWJ Beulens, XO Shu, LS Rallidis, O Pedersen, T Hansen, P Mitchell, AW Hewitt, M Kähönen, L Pérusse, C Bouchard, A Tönjes, YDI Chen, CE Pennell, TA Mori, W Lieb, A Franke, C Ohlsson, D Mellström, YS Cho, H Lee, JM Yuan, WP Koh, SY Rhee, JT Woo, IM Heid, KJ Stark, ME Zimmermann, H Völzke, G Homuth, MK Evans, AB Zonderman, O Polasek, G Pasterkamp, IE Hoefer, S Redline, K Pahkala, AJ Oldehinkel, H Snieder, G Biino, R Schmidt, H Schmidt, S Bandinelli, G Dedoussis, TA Thanaraj, SLR Kardia, PA Peyser, N Kato, MB Schulze, G Girotto, CA Böger, B Jung, PK Joshi, DA Bennett, PL De Jager, X Lu, V Mamakou, M Brown, MJ Caulfield, PB Munroe, X Guo, M Ciullo, JB Jonas, NJ Samani, J Kaprio, P Pajukanta, T Tusié-Luna, CA Aguilar-Salinas, LS Adair, SA Bechayda, HJ de Silva, AR Wickremasinghe, RM Krauss, JY Wu, W Zheng, AI Hollander, D Bharadwaj, A Correa, JG Wilson, L Lind, CK Heng, AE Nelson, YM Golightly, JF Wilson, B Penninx, HL Kim, J Attia, RJ Scott, DC Rao, DK Arnett, SC Hunt, M Walker, HA Koistinen, GR Chandak, JM Mercader, MC Costanzo, D Jang, NP Burtt, CG Villalpando, L Orozco, M Fornage, E Tai, RM van Dam, T Lehtimäki, N Chaturvedi, M Yokota, J Liu, DF Reilly, AJ McKnight, F Kee, KH Jöckel, MI McCarthy, CNA Palmer, V Vitart, C Hayward, E Simonsick, CM van Duijn, ZB Jin, J Qu, H Hishigaki, X Lin, W März, V Gudnason, JC Tardif, G Lettre, LM‘ Hart, PJM Elders, SM Damrauer, M Kumari, M Kivimaki, P van der Harst, TD Spector, RJF Loos, MA Province, EJ Parra, M Cruz, BM Psaty, I Brandslund, PP Pramstaller, CN Rotimi, K Christensen, S Ripatti, E Widén, H Hakonarson, SFA Grant, LALM Kiemeney, J de Graaf, M Loeffler, F Kronenberg, D Gu, J Erdmann, H Schunkert, PW Franks, A Linneberg, JW Jukema, AV Khera, M Männikkö, MR Jarvelin, Z Kutalik, C Francesco, DO Mook-Kanamori, KW van Dijk, H Watkins, DP Strachan, N Grarup, P Sever, N Poulter, LM Chuang, JI Rotter, TM Dantoft, F Karpe, MJ Neville, NJ Timpson, CY Cheng, TY Wong, CC Khor, H Li, C Sabanayagam, A Peters, C Gieger, AT Hattersley, NL Pedersen, PKE Magnusson, DI Boomsma, AHM Willemsen, L Cupples, JBJ van Meurs, M Ghanbari, P Gordon-Larsen, W Huang, YJ Kim, Y Tabara, NJ Wareham, C Langenberg, E Zeggini, J Kuusisto, M Laakso, E Ingelsson, G Abecasis, JC Chambers, JS Kooner, PS de Vries, AC Morrison, S Hazelhurst, M Ramsay, KE North, M Daviglus, P Kraft, NG Martin, JB Whitfield, S Abbas, D Saleheen, RG Walters, MV Holmes, C Black, BH Smith, A Baras, AE Justice, JE Buring, PM Ridker, DI Chasman, C Kooperberg, G Tamiya, M Yamamoto, DA van Heel, RC Trembath, WQ Wei, GP Jarvik, B Namjou, MG Hayes, MD Ritchie, P Jousilahti, V Salomaa, K Hveem, BO Åsvold, M Kubo, Y Kamatani, Y Okada, Y Murakami, BJ Kim, U Thorsteinsdottir, K Stefansson, J Zhang, Y Chen, YL Ho, JA Lynch, DJ Rader, PS Tsao, KM Chang, K Cho, CJ O’Donnell, JM Gaziano, PWF Wilson, TM Frayling, JN Hirschhorn, S Kathiresan, KL Mohlke, YV Sun, AP Morris, M Boehnke, CD Brown, P Natarajan, P Deloukas, CJ Willer, TL Assimes, GM Peloso
Genome Biol., 23 (1) 1474-760X (2022)
Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery.
To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches. Using phenome-wide association (PheWAS) scans, we identify relationships of genetically predicted lipid levels to other diseases and conditions. We confirm known pleiotropic associations with cardiovascular phenotypes and determine novel associations, notably with cholelithiasis risk. We perform sex-stratified GWAS meta-analysis of lipid levels and show that 3-5% of autosomal lipid-associated loci demonstrate sex-biased effects. Finally, we report 21 novel lipid loci identified on the X chromosome. Many of the sex-biased autosomal and X chromosome lipid loci show pleiotropic associations with sex hormones, emphasizing the role of hormone regulation in lipid metabolism.
Taken together, our findings provide insights into the biological mechanisms through which associated variants lead to altered lipid levels and potentially cardiovascular disease risk.
Mutations in DMRT3 affect locomotion in horses and spinal circuit function in mice.
LS Andersson, M Larhammar, F Memic, H Wootz, D Schwochow, CJ Rubin, K Patra, T Arnason, L Wellbring, G Hjälm, F Imsland, JL Petersen, ME McCue, JR Mickelson, G Cothran, N Ahituv, L Roepstorff, S Mikko, A Vallstedt, G Lindgren, L Andersson, K Kullander
Nature, 488 (7413) 1476-4687 (2012)
Locomotion in mammals relies on a central pattern-generating circuitry of spinal interneurons established during development that coordinates limb movement. These networks produce left-right alternation of limbs as well as coordinated activation of flexor and extensor muscles. Here we show that a premature stop codon in the DMRT3 gene has a major effect on the pattern of locomotion in horses. The mutation is permissive for the ability to perform alternate gaits and has a favourable effect on harness racing performance. Examination of wild-type and Dmrt3-null mice demonstrates that Dmrt3 is expressed in the dI6 subdivision of spinal cord neurons, takes part in neuronal specification within this subdivision, and is critical for the normal development of a coordinated locomotor network controlling limb movements. Our discovery positions Dmrt3 in a pivotal role for configuring the spinal circuits controlling stride in vertebrates. The DMRT3 mutation has had a major effect on the diversification of the domestic horse, as the altered gait characteristics of a number of breeds apparently require this mutation.
Genetic determinants of warfarin maintenance dose and time in therapeutic treatment range: a RE-LY genomics substudy.
N Eriksson, L Wallentin, L Berglund, T Axelsson, S Connolly, J Eikelboom, M Ezekowitz, J Oldgren, G Paré, P Reilly, A Siegbahn, AC Syvanen, C Wadelius, S Yusuf, M Wadelius
We investigated associations between genetic variation in candidate genes and on a genome-wide scale with warfarin maintenance dose, time in therapeutic range (TTR), and risk of major bleeding.
In total, 982 warfarin-treated patients from the RE-LY trial were studied.
After adjusting for SNPs in VKORC1 and CYP2C9, SNPs in DDHD1 (rs17126068) and NEDD4 (rs2288344) were associated with dose. Adding these SNPs and CYP4F2 (rs2108622) to a base model increased R(2) by 2.9%. An SNP in ASPH (rs4379440) was associated with TTR (-6.8% per minor allele). VKORC1 was associated with time less than INR 2.0. VKORC1 and CYP2C9 were associated with time more than INR 3.0, but not with major bleeding.
We identified two novel genes associated with warfarin maintenance dose and one gene associated with TTR. These genes need to be replicated in an independent cohort.
Last Updated: 10th June 2025
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