NGI is one of the largest technical platforms at SciLifeLab. We provide access to technology for sequencing, genotyping and associated bioinformatics support to researchers based in Sweden.
NGI OpenLab: A New Hub for Collaborative Genomics!
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.
NGI project coordinators Elísabet Einarsdóttir and Mattias Ormestad recently visited Linnaeus University in Kalmar to attend a joint workshop hosted by two prominent research environments: EEMiS (Linnaeus University Centre for Ecology and Evolution in Microbial Model Systems) and CENWIN (Linnaeus University Centre for the Environment).
Comparative genome analysis of mycobacteria focusing on tRNA and non-coding RNA.
PRK Behra, BMF Pettersson, M Ramesh, S Das, S Dasgupta, LA Kirsebom
BMC Genomics, 23 (1) 1471-2164 (2022)
The Mycobacterium genus encompasses at least 192 named species, many of which cause severe diseases such as tuberculosis. Non-tuberculosis mycobacteria (NTM) can also infect humans and animals. Some are of emerging concern because they show high resistance to commonly used antibiotics while others are used and evaluated in bioremediation or included in anticancer vaccines.
We provide the genome sequences for 114 mycobacterial type strains and together with 130 available mycobacterial genomes we generated a phylogenetic tree based on 387 core genes and supported by average nucleotide identity (ANI) data. The 244 genome sequences cover most of the species constituting the Mycobacterium genus. The genome sizes ranged from 3.2 to 8.1 Mb with an average of 5.7 Mb, and we identified 14 new plasmids. Moreover, mycobacterial genomes consisted of phage-like sequences ranging between 0 and 4.64% dependent on mycobacteria while the number of IS elements varied between 1 and 290. Our data also revealed that, depending on the mycobacteria, the number of tRNA and non-coding (nc) RNA genes differ and that their positions on the chromosome varied. We identified a conserved core set of 12 ncRNAs, 43 tRNAs and 18 aminoacyl-tRNA synthetases among mycobacteria.
Phages, IS elements, tRNA and ncRNAs appear to have contributed to the evolution of the Mycobacterium genus where several tRNA and ncRNA genes have been horizontally transferred. On the basis of our phylogenetic analysis, we identified several isolates of unnamed species as new mycobacterial species or strains of known mycobacteria. The predicted number of coding sequences correlates with genome size while the number of tRNA, rRNA and ncRNA genes does not. Together these findings expand our insight into the evolution of the Mycobacterium genus and as such they establish a platform to understand mycobacterial pathogenicity, their evolution, antibiotic resistance/tolerance as well as the function and evolution of ncRNA among mycobacteria.
Multi-layered dosage compensation of the avian Z chromosome by increased transcriptional burst frequency and elevated translational rates.
N Papanicolaou, A Lentini, S Wettersten, M Hagemann-Jensen, A Krüger, J Zhang, C Coucoravas, I Petrosian, X Xin, I Ceyhan, J Rorbach, D Wright, B Reinius
Nat Commun, 16 (1) 2041-1723 (2025)
Sex-chromosome dosage poses a challenge for heterogametic species in maintaining the proper balance of gene products across chromosomes in each sex. While therian mammals (XX/XY system) achieve near-perfect balance of X-chromosome mRNAs through X-upregulation and X-inactivation, birds (ZW/ZZ system) have been found to lack efficient compensation at RNA level, challenging the necessity of resolving major gene-dosage asymmetries in avian cells. Through comprehensive allele-resolved multiome analyses, we examine dosage compensation in female (ZW), male (ZZ), and rare intersex (ZZW) chicken. Our data reveal that females upregulate their single Z chromosome through increased transcriptional burst frequency, mirroring mammalian X upregulation. Z-protein levels are further balanced in females through enhanced translation efficiency. Additionally, we present a global analysis of promoter elements regulating transcriptional burst kinetics in birds, revealing evolutionary conservation of the genomic encoding of burst kinetics between birds and mammals. Our study provides insights into the regulation of avian dosage compensation, and when considering all regulatory layers collectively, an unexpected similarity between avian and mammalian dosage compensation becomes apparent.
Abundantly expressed class of noncoding RNAs conserved through the multicellular evolution of dictyostelid social amoebas.
J Kjellin, L Avesson, J Reimegård, Z Liao, L Eichinger, A Noegel, G Glöckner, P Schaap, F Söderbom
Genome Res., 31 (3) 1549-5469 (2021)
Aggregative multicellularity has evolved multiple times in diverse groups of eukaryotes, exemplified by the well-studied development of dictyostelid social amoebas, for example, Dictyostelium discoideum However, it is still poorly understood why multicellularity emerged in these amoebas while the majority of other members of Amoebozoa are unicellular. Previously, a novel type of noncoding RNA, Class I RNAs, was identified in D. discoideum and shown to be important for normal multicellular development. Here, we investigated Class I RNA evolution and its connection to multicellular development. We identified a large number of new Class I RNA genes by constructing a covariance model combined with a scoring system based on conserved upstream sequences. Multiple genes were predicted in representatives of each major group of Dictyostelia and expression analysis confirmed that our search approach identifies expressed Class I RNA genes with high accuracy and sensitivity and that the RNAs are developmentally regulated. Further studies showed that Class I RNAs are ubiquitous in Dictyostelia and share highly conserved structure and sequence motifs. In addition, Class I RNA genes appear to be unique to dictyostelid social amoebas because they could not be identified in outgroup genomes, including their closest known relatives. Our results show that Class I RNA is an ancient class of ncRNAs, likely to have been present in the last common ancestor of Dictyostelia dating back at least 600 million years. Based on previous functional analyses and the presented evolutionary investigation, we hypothesize that Class I RNAs were involved in evolution of multicellularity in Dictyostelia.
Philippine Ayta possess the highest level of Denisovan ancestry in the world.
M Larena, J McKenna, F Sanchez-Quinto, C Bernhardsson, C Ebeo, R Reyes, O Casel, JY Huang, KP Hagada, D Guilay, J Reyes, FP Allian, V Mori, LS Azarcon, A Manera, C Terando, L Jamero, G Sireg, R Manginsay-Tremedal, MS Labos, RD Vilar, A Latiph, RL Saway, E Marte, P Magbanua, A Morales, I Java, R Reveche, B Barrios, E Burton, JC Salon, MJT Kels, A Albano, RB Cruz-Angeles, E Molanida, L Granehäll, M Vicente, H Edlund, JH Loo, J Trejaut, SYW Ho, L Reid, K Lambeck, H Malmström, C Schlebusch, P Endicott, M Jakobsson
Curr. Biol., 31 (19) 1879-0445 (2021)
Multiple lines of evidence show that modern humans interbred with archaic Denisovans. Here, we report an account of shared demographic history between Australasians and Denisovans distinctively in Island Southeast Asia. Our analyses are based on ∼2.3 million genotypes from 118 ethnic groups of the Philippines, including 25 diverse self-identified Negrito populations, along with high-coverage genomes of Australopapuans and Ayta Magbukon Negritos. We show that Ayta Magbukon possess the highest level of Denisovan ancestry in the world-∼30%-40% greater than that of Australians and Papuans-consistent with an independent admixture event into Negritos from Denisovans. Together with the recently described Homo luzonensis, we suggest that there were multiple archaic species that inhabited the Philippines prior to the arrival of modern humans and that these archaic groups may have been genetically related. Altogether, our findings unveil a complex intertwined history of modern and archaic humans in the Asia-Pacific region, where distinct Islander Denisovan populations differentially admixed with incoming Australasians across multiple locations and at various points in time.
Exome-wide association study to identify rare variants influencing COVID-19 outcomes: Results from the Host Genetics Initiative.
G Butler-Laporte, G Povysil, JA Kosmicki, ET Cirulli, T Drivas, S Furini, C Saad, A Schmidt, P Olszewski, U Korotko, M Quinodoz, E Çelik, K Kundu, K Walter, J Jung, AD Stockwell, LG Sloofman, DM Jordan, RC Thompson, D Del Valle, N Simons, E Cheng, R Sebra, EE Schadt, S Kim-Schulze, S Gnjatic, M Merad, JD Buxbaum, ND Beckmann, AW Charney, B Przychodzen, T Chang, TD Pottinger, N Shang, F Brand, F Fava, F Mari, K Chwialkowska, M Niemira, S Pula, JK Baillie, A Stuckey, A Salas, X Bello, J Pardo-Seco, A Gómez-Carballa, I Rivero-Calle, F Martinón-Torres, A Ganna, KJ Karczewski, K Veerapen, M Bourgey, G Bourque, RJ Eveleigh, V Forgetta, D Morrison, D Langlais, M Lathrop, V Mooser, T Nakanishi, R Frithiof, M Hultström, M Lipcsey, Y Marincevic-Zuniga, J Nordlund, KM Schiabor Barrett, W Lee, A Bolze, S White, S Riffle, F Tanudjaja, E Sandoval, I Neveux, S Dabe, N Casadei, S Motameny, M Alaamery, S Massadeh, N Aljawini, MS Almutairi, YM Arabi, SA Alqahtani, FS Al Harthi, A Almutairi, F Alqubaishi, S Alotaibi, A Binowayn, EA Alsolm, H El Bardisy, M Fawzy, F Cai, N Soranzo, A Butterworth, COVID-19 Host Genetics Initiative, DeCOI Host Genetics Group, GEN-COVID Multicenter Study (Italy), Mount Sinai Clinical Intelligence Center, GEN-COVID consortium (Spain), GenOMICC Consortium, Japan COVID-19 Task Force, Regeneron Genetics Center, DH Geschwind, S Arteaga, A Stephens, MJ Butte, PC Boutros, TN Yamaguchi, S Tao, S Eng, T Sanders, PJ Tung, ME Broudy, Y Pan, A Gonzalez, N Chavan, R Johnson, B Pasaniuc, B Yaspan, S Smieszek, C Rivolta, S Bibert, P Bochud, M Dabrowski, P Zawadzki, M Sypniewski, E Kaja, P Chariyavilaskul, V Nilaratanakul, N Hirankarn, V Shotelersuk, M Pongpanich, C Phokaew, W Chetruengchai, K Tokunaga, M Sugiyama, Y Kawai, T Hasegawa, T Naito, H Namkoong, R Edahiro, A Kimura, S Ogawa, T Kanai, K Fukunaga, Y Okada, S Imoto, S Miyano, S Mangul, MS Abedalthagafi, H Zeberg, JJ Grzymski, NL Washington, S Ossowski, KU Ludwig, EC Schulte, O Riess, M Moniuszko, M Kwasniewski, H Mbarek, SI Ismail, A Verma, DB Goldstein, K Kiryluk, A Renieri, MAR Ferreira, JB Richards
Host genetics is a key determinant of COVID-19 outcomes. Previously, the COVID-19 Host Genetics Initiative genome-wide association study used common variants to identify multiple loci associated with COVID-19 outcomes. However, variants with the largest impact on COVID-19 outcomes are expected to be rare in the population. Hence, studying rare variants may provide additional insights into disease susceptibility and pathogenesis, thereby informing therapeutics development. Here, we combined whole-exome and whole-genome sequencing from 21 cohorts across 12 countries and performed rare variant exome-wide burden analyses for COVID-19 outcomes. In an analysis of 5,085 severe disease cases and 571,737 controls, we observed that carrying a rare deleterious variant in the SARS-CoV-2 sensor toll-like receptor TLR7 (on chromosome X) was associated with a 5.3-fold increase in severe disease (95% CI: 2.75-10.05, p = 5.41x10-7). This association was consistent across sexes. These results further support TLR7 as a genetic determinant of severe disease and suggest that larger studies on rare variants influencing COVID-19 outcomes could provide additional insights.
Do ectomycorrhizal exploration types reflect mycelial foraging strategies?
K Jörgensen, KE Clemmensen, H Wallander, BD Lindahl
New Phytol., 1469-8137 (2022)
Ectomycorrhizal exploration types are commonly assumed to denote spatial foraging patterns and resource-related niches of extraradical mycelia. However, empirical evidence of the consistency of foraging strategies within exploration types is lacking. Here, we analysed ectomycorrhizal foraging patterns by incubating root-excluding ingrowth mesh bags filled with six different substrates in mature Picea abies forests. High-throughput sequencing was used to characterize ectomycorrhizal fungal communities in the mesh bags and on adjacent fine roots after one growing season. Contrary to expectations, many ectomycorrhizal genera of exploration types thought to produce little extraradical mycelium colonised ingrowth bags extensively, whereas genera commonly associated with ample mycelial production occurred sparsely in ingrowth bags relative to their abundance on roots. Previous assumptions about soil foraging patterns of exploration types do not seem to hold. Instead, we propose that variation in the proliferation of extraradical mycelium is related to intergeneric differences in mycelial longevity and mobility of targeted resources.
CopyNumber450kCancer: baseline correction for accurate copy number calling from the 450k methylation array.
NA Marzouka, J Nordlund, CL Bäcklin, G Lönnerholm, AC Syvänen, J Carlsson Almlöf
The Illumina Infinium HumanMethylation450 BeadChip (450k) is widely used for the evaluation of DNA methylation levels in large-scale datasets, particularly in cancer. The 450k design allows copy number variant (CNV) calling using existing bioinformatics tools. However, in cancer samples, numerous large-scale aberrations cause shifting in the probe intensities and thereby may result in erroneous CNV calling. Therefore, a baseline correction process is needed. We suggest the maximum peak of probe segment density to correct the shift in the intensities in cancer samples.
CopyNumber450kCancer is implemented as an R package. The package with examples can be downloaded at http://cran.r-project.org
nour.marzouka@medsci.uu.se
Supplementary data are available at Bioinformatics online.
Last Updated: 7th July 2026
This website uses cookies to improve your experience. AcceptRead More
Privacy & Cookies Policy
Privacy Overview
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.