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1. Comparative genomics of Aspergillus nidulans and section Nidulantes.

Author

Theobald, Sebastian, Vesth, Tammi, Nybo, Jane, Frisvad, Jens, Kjærbølling, Inge, Mondo, Stephen, LaButti, Kurt, Haridas, Sajeet, Riley, Robert, Kuo, Alan, Salamov, Asaf, Pangilinan, Jasmyn, Lipzen, Anna, Koriabine, Maxim, Yan, Mi, Barry, Kerrie, Clum, Alicia, Lyhne, Ellen, Drula, Elodie, Wiebenga, Ad, Müller, Astrid, Lubbers, Ronnie, Kun, Roland, Dos Santos Gomes, Ana, Mäkelä, Miia, Henrissat, Bernard, Simmons, Blake, Magnuson, Jon, Hoof, Jakob, Mortensen, Uffe, Dyer, Paul, Momany, Michelle, Larsen, Thomas, Grigoriev, Igor, Baker, Scott, de Vries, Ronald, and Andersen, Mikael

Subjects
Aspergillus, CAZy, Comparative genomics, Nidulantes, Secondary metabolism
Abstract

Aspergillus nidulans is an important model organism for eukaryotic biology and the reference for the section Nidulantes in comparative studies. In this study, we de novo sequenced the genomes of 25 species of this section. Whole-genome phylogeny of 34 Aspergillus species and Penicillium chrysogenum clarifies the position of clades inside section Nidulantes. Comparative genomics reveals a high genetic diversity between species with 684 up to 2433 unique protein families. Furthermore, we categorized 2118 secondary metabolite gene clusters (SMGC) into 603 families across Aspergilli, with at least 40 % of the families shared between Nidulantes species. Genetic dereplication of SMGC and subsequent synteny analysis provides evidence for horizontal gene transfer of a SMGC. Proteins that have been investigated in A. nidulans as well as its SMGC families are generally present in the section Nidulantes, supporting its role as model organism. The set of genes encoding plant biomass-related CAZymes is highly conserved in section Nidulantes, while there is remarkable diversity of organization of MAT-loci both within and between the different clades. This study provides a deeper understanding of the genomic conservation and diversity of this section and supports the position of A. nidulans as a reference species for cell biology.

Published
2025

2. Genomic Analysis of Aspergillus Section Terrei Reveals a High Potential in Secondary Metabolite Production and Plant Biomass Degradation

Author

Theobald, Sebastian, Vesth, Tammi C, Geib, Elena, Nybo, Jane L, Frisvad, Jens C, Larsen, Thomas O, Kuo, Alan, LaButti, Kurt, Lyhne, Ellen K, Kjærbølling, Inge, Ledsgaard, Line, Barry, Kerrie, Clum, Alicia, Chen, Cindy, Nolan, Matt, Sandor, Laura, Lipzen, Anna, Mondo, Stephen, Pangilinan, Jasmyn, Salamov, Asaf, Riley, Robert, Wiebenga, Ad, Müller, Astrid, Kun, Roland S, dos Santos Gomes, Ana Carolina, Henrissat, Bernard, Magnuson, Jon K, Simmons, Blake A, Mäkelä, Miia R, Mortensen, Uffe H, Grigoriev, Igor V, Brock, Matthias, Baker, Scott E, de Vries, Ronald P, and Andersen, Mikael R

Subjects
Microbiology, Biological Sciences, Genetics, Human Genome, Biotechnology, genomics, fungi, Aspergillus, section Terrei, Aspergillus terreus, secondary metabolism, CAZymes
Abstract

Aspergillus terreus has attracted interest due to its application in industrial biotechnology, particularly for the production of itaconic acid and bioactive secondary metabolites. As related species also seem to possess a prosperous secondary metabolism, they are of high interest for genome mining and exploitation. Here, we present draft genome sequences for six species from Aspergillus section Terrei and one species from Aspergillus section Nidulantes. Whole-genome phylogeny confirmed that section Terrei is monophyletic. Genome analyses identified between 70 and 108 key secondary metabolism genes in each of the genomes of section Terrei, the highest rate found in the genus Aspergillus so far. The respective enzymes fall into 167 distinct families with most of them corresponding to potentially unique compounds or compound families. Moreover, 53% of the families were only found in a single species, which supports the suitability of species from section Terrei for further genome mining. Intriguingly, this analysis, combined with heterologous gene expression and metabolite identification, suggested that species from section Terrei use a strategy for UV protection different to other species from the genus Aspergillus. Section Terrei contains a complete plant polysaccharide degrading potential and an even higher cellulolytic potential than other Aspergilli, possibly facilitating additional applications for these species in biotechnology.

Published
2024

3. A comparative genomics study of 23 Aspergillus species from section Flavi.

Author

Kjærbølling, Inge, Vesth, Tammi, Frisvad, Jens C, Nybo, Jane L, Theobald, Sebastian, Kildgaard, Sara, Petersen, Thomas Isbrandt, Kuo, Alan, Sato, Atsushi, Lyhne, Ellen K, Kogle, Martin E, Wiebenga, Ad, Kun, Roland S, Lubbers, Ronnie JM, Mäkelä, Miia R, Barry, Kerrie, Chovatia, Mansi, Clum, Alicia, Daum, Chris, Haridas, Sajeet, He, Guifen, LaButti, Kurt, Lipzen, Anna, Mondo, Stephen, Pangilinan, Jasmyn, Riley, Robert, Salamov, Asaf, Simmons, Blake A, Magnuson, Jon K, Henrissat, Bernard, Mortensen, Uffe H, Larsen, Thomas O, de Vries, Ronald P, Grigoriev, Igor V, Machida, Masayuki, Baker, Scott E, and Andersen, Mikael R

Subjects
Aspergillus flavus, Aspergillus oryzae, Crops, Agricultural, Fungal Proteins, DNA, Fungal, Bioreactors, Genomics, Phylogeny, Plant Diseases, Fermentation, Phenotype, Genome, Fungal, Multigene Family, Carbohydrate Metabolism, Metabolic Networks and Pathways, Secondary Metabolism, Fermented Foods and Beverages
Abstract

Section Flavi encompasses both harmful and beneficial Aspergillus species, such as Aspergillus oryzae, used in food fermentation and enzyme production, and Aspergillus flavus, food spoiler and mycotoxin producer. Here, we sequence 19 genomes spanning section Flavi and compare 31 fungal genomes including 23 Flavi species. We reassess their phylogenetic relationships and show that the closest relative of A. oryzae is not A. flavus, but A. minisclerotigenes or A. aflatoxiformans and identify high genome diversity, especially in sub-telomeric regions. We predict abundant CAZymes (598 per species) and prolific secondary metabolite gene clusters (73 per species) in section Flavi. However, the observed phenotypes (growth characteristics, polysaccharide degradation) do not necessarily correlate with inferences made from the predicted CAZyme content. Our work, including genomic analyses, phenotypic assays, and identification of secondary metabolites, highlights the genetic and metabolic diversity within section Flavi.

Published
2020

4. Uncovering secondary metabolite evolution and biosynthesis using gene cluster networks and genetic dereplication.

Author

Theobald, Sebastian, Vesth, Tammi C, Rendsvig, Jakob Kræmmer, Nielsen, Kristian Fog, Riley, Robert, de Abreu, Lucas Magalhães, Salamov, Asaf, Frisvad, Jens Christian, Larsen, Thomas Ostenfeld, Andersen, Mikael Rørdam, and Hoof, Jakob Blæsbjerg

Subjects
Aspergillus, Cluster Analysis, Gene Expression Profiling, Genetic Engineering, Computational Biology, Genomics, Gene Expression Regulation, Multigene Family, Gene Regulatory Networks, Biosynthetic Pathways, Data Mining, Molecular Sequence Annotation, Secondary Metabolism, Human Genome, Biotechnology, Cancer, Genetics, Biochemistry and Cell Biology, Other Physical Sciences
Abstract

The increased interest in secondary metabolites (SMs) has driven a number of genome sequencing projects to elucidate their biosynthetic pathways. As a result, studies revealed that the number of secondary metabolite gene clusters (SMGCs) greatly outnumbers detected compounds, challenging current methods to dereplicate and categorize this amount of gene clusters on a larger scale. Here, we present an automated workflow for the genetic dereplication and analysis of secondary metabolism genes in fungi. Focusing on the secondary metabolite rich genus Aspergillus, we categorize SMGCs across genomes into SMGC families using network analysis. Our method elucidates the diversity and dynamics of secondary metabolism in section Nigri, showing that SMGC diversity within the section has the same magnitude as within the genus. Using our genome analysis we were able to predict the gene cluster responsible for biosynthesis of malformin, a potentiator of anti-cancer drugs, in 18 strains. To proof the general validity of our predictions, we developed genetic engineering tools in Aspergillus brasiliensis and subsequently verified the genes for biosynthesis of malformin.

Published
2018

5. Investigation of inter- and intraspecies variation through genome sequencing of Aspergillus section Nigri

Author

Vesth, Tammi C, Nybo, Jane L, Theobald, Sebastian, Frisvad, Jens C, Larsen, Thomas O, Nielsen, Kristian F, Hoof, Jakob B, Brandl, Julian, Salamov, Asaf, Riley, Robert, Gladden, John M, Phatale, Pallavi, Nielsen, Morten T, Lyhne, Ellen K, Kogle, Martin E, Strasser, Kimchi, McDonnell, Erin, Barry, Kerrie, Clum, Alicia, Chen, Cindy, LaButti, Kurt, Haridas, Sajeet, Nolan, Matt, Sandor, Laura, Kuo, Alan, Lipzen, Anna, Hainaut, Matthieu, Drula, Elodie, Tsang, Adrian, Magnuson, Jon K, Henrissat, Bernard, Wiebenga, Ad, Simmons, Blake A, Mäkelä, Miia R, de Vries, Ronald P, Grigoriev, Igor V, Mortensen, Uffe H, Baker, Scott E, and Andersen, Mikael R

Subjects
Microbiology, Biological Sciences, Genetics, Biotechnology, Human Genome, Infectious Diseases, Aspergillus, Base Sequence, Carbohydrate Metabolism, Genetic Speciation, Genetic Variation, Genome, Fungal, Multigene Family, Phylogeny, Species Specificity, Whole Genome Sequencing, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Aspergillus section Nigri comprises filamentous fungi relevant to biomedicine, bioenergy, health, and biotechnology. To learn more about what genetically sets these species apart, as well as about potential applications in biotechnology and biomedicine, we sequenced 23 genomes de novo, forming a full genome compendium for the section (26 species), as well as 6 Aspergillus niger isolates. This allowed us to quantify both inter- and intraspecies genomic variation. We further predicted 17,903 carbohydrate-active enzymes and 2,717 secondary metabolite gene clusters, which we condensed into 455 distinct families corresponding to compound classes, 49% of which are only found in single species. We performed metabolomics and genetic engineering to correlate genotypes to phenotypes, as demonstrated for the metabolite aurasperone, and by heterologous transfer of citrate production to Aspergillus nidulans. Experimental and computational analyses showed that both secondary metabolism and regulation are key factors that are significant in the delineation of Aspergillus species.

Published
2018

6. Linking secondary metabolites to gene clusters through genome sequencing of six diverse Aspergillus species

Author

Kjærbølling, Inge, Vesth, Tammi C, Frisvad, Jens C, Nybo, Jane L, Theobald, Sebastian, Kuo, Alan, Bowyer, Paul, Matsuda, Yudai, Mondo, Stephen, Lyhne, Ellen K, Kogle, Martin E, Clum, Alicia, Lipzen, Anna, Salamov, Asaf, Ngan, Chew Yee, Daum, Chris, Chiniquy, Jennifer, Barry, Kerrie, LaButti, Kurt, Haridas, Sajeet, Simmons, Blake A, Magnuson, Jon K, Mortensen, Uffe H, Larsen, Thomas O, Grigoriev, Igor V, Baker, Scott E, and Andersen, Mikael R

Subjects
Microbiology, Biological Sciences, Biomedical and Clinical Sciences, Genetics, Rare Diseases, Biotechnology, Human Genome, Infectious Diseases, Emerging Infectious Diseases, 2.2 Factors relating to the physical environment, Infection, Aflatoxins, Allergens, Aspergillus, DNA Methylation, Evolution, Molecular, Flavonoids, Genome, Fungal, Indole Alkaloids, Multigene Family, Phylogeny, Secondary Metabolism, Terpenes, Whole Genome Sequencing, fumigatus, comparative genomics, secondary metabolism
Abstract

The fungal genus of Aspergillus is highly interesting, containing everything from industrial cell factories, model organisms, and human pathogens. In particular, this group has a prolific production of bioactive secondary metabolites (SMs). In this work, four diverse Aspergillus species (A. campestris, A. novofumigatus, A. ochraceoroseus, and A. steynii) have been whole-genome PacBio sequenced to provide genetic references in three Aspergillus sections. A. taichungensis and A. candidus also were sequenced for SM elucidation. Thirteen Aspergillus genomes were analyzed with comparative genomics to determine phylogeny and genetic diversity, showing that each presented genome contains 15-27% genes not found in other sequenced Aspergilli. In particular, A. novofumigatus was compared with the pathogenic species A. fumigatus This suggests that A. novofumigatus can produce most of the same allergens, virulence, and pathogenicity factors as A. fumigatus, suggesting that A. novofumigatus could be as pathogenic as A. fumigatus Furthermore, SMs were linked to gene clusters based on biological and chemical knowledge and analysis, genome sequences, and predictive algorithms. We thus identify putative SM clusters for aflatoxin, chlorflavonin, and ochrindol in A. ochraceoroseus, A. campestris, and A. steynii, respectively, and novofumigatonin, ent-cycloechinulin, and epi-aszonalenins in A. novofumigatus Our study delivers six fungal genomes, showing the large diversity found in the Aspergillus genus; highlights the potential for discovery of beneficial or harmful SMs; and supports reports of A. novofumigatus pathogenicity. It also shows how biological, biochemical, and genomic information can be combined to identify genes involved in the biosynthesis of specific SMs.

Published
2018

7. Comparative genomics reveals high biological diversity and specific adaptations in the industrially and medically important fungal genus Aspergillus

Author

de Vries, Ronald P, Riley, Robert, Wiebenga, Ad, Aguilar-Osorio, Guillermo, Amillis, Sotiris, Uchima, Cristiane Akemi, Anderluh, Gregor, Asadollahi, Mojtaba, Askin, Marion, Barry, Kerrie, Battaglia, Evy, Bayram, Özgür, Benocci, Tiziano, Braus-Stromeyer, Susanna A, Caldana, Camila, Cánovas, David, Cerqueira, Gustavo C, Chen, Fusheng, Chen, Wanping, Choi, Cindy, Clum, Alicia, dos Santos, Renato Augusto Corrêa, Damásio, André Ricardo de Lima, Diallinas, George, Emri, Tamás, Fekete, Erzsébet, Flipphi, Michel, Freyberg, Susanne, Gallo, Antonia, Gournas, Christos, Habgood, Rob, Hainaut, Matthieu, Harispe, María Laura, Henrissat, Bernard, Hildén, Kristiina S, Hope, Ryan, Hossain, Abeer, Karabika, Eugenia, Karaffa, Levente, Karányi, Zsolt, Kraševec, Nada, Kuo, Alan, Kusch, Harald, LaButti, Kurt, Lagendijk, Ellen L, Lapidus, Alla, Levasseur, Anthony, Lindquist, Erika, Lipzen, Anna, Logrieco, Antonio F, MacCabe, Andrew, Mäkelä, Miia R, Malavazi, Iran, Melin, Petter, Meyer, Vera, Mielnichuk, Natalia, Miskei, Márton, Molnár, Ákos P, Mulé, Giuseppina, Ngan, Chew Yee, Orejas, Margarita, Orosz, Erzsébet, Ouedraogo, Jean Paul, Overkamp, Karin M, Park, Hee-Soo, Perrone, Giancarlo, Piumi, Francois, Punt, Peter J, Ram, Arthur FJ, Ramón, Ana, Rauscher, Stefan, Record, Eric, Riaño-Pachón, Diego Mauricio, Robert, Vincent, Röhrig, Julian, Ruller, Roberto, Salamov, Asaf, Salih, Nadhira S, Samson, Rob A, Sándor, Erzsébet, Sanguinetti, Manuel, Schütze, Tabea, Sepčić, Kristina, Shelest, Ekaterina, Sherlock, Gavin, Sophianopoulou, Vicky, Squina, Fabio M, Sun, Hui, Susca, Antonia, Todd, Richard B, Tsang, Adrian, Unkles, Shiela E, van de Wiele, Nathalie, van Rossen-Uffink, Diana, Oliveira, Juliana Velasco de Castro, Vesth, Tammi C, Visser, Jaap, Yu, Jae-Hyuk, Zhou, Miaomiao, and Andersen, Mikael R

Subjects
Human Genome, Genetics, Biotechnology, Emerging Infectious Diseases, Infectious Diseases, Adaptation, Biological, Aspergillus, Biodiversity, Biomass, Carbon, Computational Biology, Cytochrome P-450 Enzyme System, DNA Methylation, Fungal Proteins, Gene Expression Regulation, Fungal, Gene Regulatory Networks, Genome, Fungal, Genomics, Humans, Metabolic Networks and Pathways, Molecular Sequence Annotation, Multigene Family, Oxidoreductases, Phylogeny, Plants, Secondary Metabolism, Signal Transduction, Stress, Physiological, Genome sequencing, Comparative genomics, Fungal biology, Environmental Sciences, Biological Sciences, Information and Computing Sciences, Bioinformatics
Abstract

BackgroundThe fungal genus Aspergillus is of critical importance to humankind. Species include those with industrial applications, important pathogens of humans, animals and crops, a source of potent carcinogenic contaminants of food, and an important genetic model. The genome sequences of eight aspergilli have already been explored to investigate aspects of fungal biology, raising questions about evolution and specialization within this genus.ResultsWe have generated genome sequences for ten novel, highly diverse Aspergillus species and compared these in detail to sister and more distant genera. Comparative studies of key aspects of fungal biology, including primary and secondary metabolism, stress response, biomass degradation, and signal transduction, revealed both conservation and diversity among the species. Observed genomic differences were validated with experimental studies. This revealed several highlights, such as the potential for sex in asexual species, organic acid production genes being a key feature of black aspergilli, alternative approaches for degrading plant biomass, and indications for the genetic basis of stress response. A genome-wide phylogenetic analysis demonstrated in detail the relationship of the newly genome sequenced species with other aspergilli.ConclusionsMany aspects of biological differences between fungal species cannot be explained by current knowledge obtained from genome sequences. The comparative genomics and experimental study, presented here, allows for the first time a genus-wide view of the biological diversity of the aspergilli and in many, but not all, cases linked genome differences to phenotype. Insights gained could be exploited for biotechnological and medical applications of fungi.

Published
2017

11. Comparative Genomics

Author

Ozen, Asli Ismihan, Vesth, Tammi, Ussery, David W., Rosenberg, Eugene, editor, DeLong, Edward F., editor, Lory, Stephen, editor, Stackebrandt, Erko, editor, and Thompson, Fabiano, editor

Published
2013
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15. Comparative genomics of Aspergillus nidulansand section Nidulantes

Author

Theobald, Sebastian, Vesth, Tammi, Nybo, Jane L., Frisvad, Jens C., Kjærbølling, Inge, Mondo, Stephen, LaButti, Kurt, Haridas, Sajeet, Riley, Robert, Kuo, Alan A., Salamov, Asaf A., Pangilinan, Jasmyn, Lipzen, Anna, Koriabine, Maxim, Yan, Mi, Barry, Kerrie, Clum, Alicia, Lyhne, Ellen K., Drula, Elodie, Wiebenga, Ad, Müller, Astrid, Lubbers, Ronnie J.M., Kun, Roland S., dos Santos Gomes, Ana Carolina, Mäkelä, Miia R., Henrissat, Bernard, Simmons, Blake A., Magnuson, Jon K., Hoof, Jakob B., Mortensen, Uffe H., Dyer, Paul S., Momany, Michelle, Larsen, Thomas O., Grigoriev, Igor V, Baker, Scott E., de Vries, Ronald P., and Andersen, Mikael R.

Abstract

•Aspergillussection Nidulantesdemonstrates high genomic diversity•At least 40% of the secondary metabolite clusters are shared within the section•The CAZyme gene content is highly conserved in section Nidulantes•Section Nidulanteshas a diverse organization of the mating type loci•nidulanswas confirmed to be a good reference species for the section

Published
2025
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16. Machine learning predicts and provides insights into milk acidification rates of lactococcus lactis

Author

Karlsen, Signe Tang, Vesth, Tammi Camilla, Oregaard, Gunnar, Poulsen, Vera Kuzina, Lund, Ole, Henderson, Gemma, Bælum, Jacob, Karlsen, Signe Tang, Vesth, Tammi Camilla, Oregaard, Gunnar, Poulsen, Vera Kuzina, Lund, Ole, Henderson, Gemma, and Bælum, Jacob

Abstract

Lactococcus lactis strains are important components in industrial starter cultures for cheese manufacturing. They have many strain-dependent properties, which affect the final product. Here, we explored the use of machine learning to create systematic, high-throughput screening methods for these properties. Fast acidification of milk is such a strain-dependent property. To predict the maximum hourly acidification rate (Vmax), we trained Random Forest (RF) models on four different genomic representations: Presence/absence of gene families, counts of Pfam domains, the 8 nucleotide long subsequences of their DNA (8-mers), and the 9 nucleotide long subsequences of their DNA (9-mers). Vmax was measured at different temperatures, volumes, and in the presence or absence of yeast extract. These conditions were added as features in each RF model. The four models were trained on 257 strains, and the correlation between the measured Vmax and the predicted Vmax was evaluated with Pearson Correlation Coefficients (PC) on a separate dataset of 85 strains. The models all had high PC scores: 0.83 (gene presence/absence model), 0.84 (Pfam domain model), 0.76 (8-mer model), and 0.85 (9-mer model). The models all based their predictions on relevant genetic features and showed consensus on systems for lactose metabolism, degradation of casein, and pH stress response. Each model also predicted a set of features not found by the other models.

Published
2021

17. Bayesian prediction of bacterial growth temperature range based on genome sequences

Author

Jensen Dan B, Vesth Tammi C, Hallin Peter F, Pedersen Anders G, and Ussery David W

Subjects
Biotechnology, TP248.13-248.65, Genetics, QH426-470
Abstract

Abstract Background The preferred habitat of a given bacterium can provide a hint of which types of enzymes of potential industrial interest it might produce. These might include enzymes that are stable and active at very high or very low temperatures. Being able to accurately predict this based on a genomic sequence, would thus allow for an efficient and targeted search for production organisms, reducing the need for culturing experiments. Results This study found a total of 40 protein families useful for distinction between three thermophilicity classes (thermophiles, mesophiles and psychrophiles). The predictive performance of these protein families were compared to those of 87 basic sequence features (relative use of amino acids and codons, genomic and 16S rDNA AT content and genome size). When using naïve Bayesian inference, it was possible to correctly predict the optimal temperature range with a Matthews correlation coefficient of up to 0.68. The best predictive performance was always achieved by including protein families as well as structural features, compared to either of these alone. A dedicated computer program was created to perform these predictions. Conclusions This study shows that protein families associated with specific thermophilicity classes can provide effective input data for thermophilicity prediction, and that the naïve Bayesian approach is effective for such a task. The program created for this study is able to efficiently distinguish between thermophilic, mesophilic and psychrophilic adapted bacterial genomes.

Published
2012
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19. A comparative genomics study of 23 Aspergillus species from section Flavi

Author

Sub Molecular Plant Physiology, Molecular Plant Physiology, Kjærbølling, Inge, Vesth, Tammi, Frisvad, Jens C., Nybo, Jane L., Theobald, Sebastian, Kildgaard, Sara, Petersen, Thomas Isbrandt, Kuo, Alan, Sato, Atsushi, Lyhne, Ellen K., Kogle, Martin E., Wiebenga, Ad, Kun, Roland S., Lubbers, Ronnie J.M., Mäkelä, Miia R., Barry, Kerrie, Chovatia, Mansi, Clum, Alicia, Daum, Chris, Haridas, Sajeet, He, Guifen, LaButti, Kurt, Lipzen, Anna, Mondo, Stephen, Pangilinan, Jasmyn, Riley, Robert, Salamov, Asaf, Simmons, Blake A., Magnuson, Jon K., Henrissat, Bernard, Mortensen, Uffe H., Larsen, Thomas O., de Vries, Ronald P., Grigoriev, Igor V., Machida, Masayuki, Baker, Scott E., Andersen, Mikael R., Sub Molecular Plant Physiology, Molecular Plant Physiology, Kjærbølling, Inge, Vesth, Tammi, Frisvad, Jens C., Nybo, Jane L., Theobald, Sebastian, Kildgaard, Sara, Petersen, Thomas Isbrandt, Kuo, Alan, Sato, Atsushi, Lyhne, Ellen K., Kogle, Martin E., Wiebenga, Ad, Kun, Roland S., Lubbers, Ronnie J.M., Mäkelä, Miia R., Barry, Kerrie, Chovatia, Mansi, Clum, Alicia, Daum, Chris, Haridas, Sajeet, He, Guifen, LaButti, Kurt, Lipzen, Anna, Mondo, Stephen, Pangilinan, Jasmyn, Riley, Robert, Salamov, Asaf, Simmons, Blake A., Magnuson, Jon K., Henrissat, Bernard, Mortensen, Uffe H., Larsen, Thomas O., de Vries, Ronald P., Grigoriev, Igor V., Machida, Masayuki, Baker, Scott E., and Andersen, Mikael R.

Published
2020

20. A comparative genomics study of 23 Aspergillus species from section Flavi

Author

Kjaerbolling, Inge, Vesth, Tammi, Frisvad, Jens C., Nybo, Jane L., Theobald, Sebastian, Kildgaard, Sara, Petersen, Thomas Isbrandt, Kuo, Alan, Sato, Atsushi, Lyhne, Ellen K., Kogle, Martin E., Wiebenga, Ad, Kun, Roland S., Lubbers, Ronnie J. M., Makela, Miia R., Barry, Kerrie, Chovatia, Mansi, Clum, Alicia, Daum, Chris, Haridas, Sajeet, He, Guifen, LaButti, Kurt, Lipzen, Anna, Mondo, Stephen, Pangilinan, Jasmyn, Riley, Robert, Salamov, Asaf, Simmons, Blake A., Magnuson, Jon K., Henrissat, Bernard, Mortensen, Uffe H., Larsen, Thomas O., de Vries, Ronald P., Grigoriev, Igor V., Machida, Masayuki, Baker, Scott E., Andersen, Mikael R., Kjaerbolling, Inge, Vesth, Tammi, Frisvad, Jens C., Nybo, Jane L., Theobald, Sebastian, Kildgaard, Sara, Petersen, Thomas Isbrandt, Kuo, Alan, Sato, Atsushi, Lyhne, Ellen K., Kogle, Martin E., Wiebenga, Ad, Kun, Roland S., Lubbers, Ronnie J. M., Makela, Miia R., Barry, Kerrie, Chovatia, Mansi, Clum, Alicia, Daum, Chris, Haridas, Sajeet, He, Guifen, LaButti, Kurt, Lipzen, Anna, Mondo, Stephen, Pangilinan, Jasmyn, Riley, Robert, Salamov, Asaf, Simmons, Blake A., Magnuson, Jon K., Henrissat, Bernard, Mortensen, Uffe H., Larsen, Thomas O., de Vries, Ronald P., Grigoriev, Igor V., Machida, Masayuki, Baker, Scott E., and Andersen, Mikael R.

Published
2020

22. Additional file 9: Figure S1 of Genus level analysis of PKS-NRPS and NRPS-PKS hybrids reveals their origin in Aspergilli

Author

Theobald, Sebastian, Vesth, Tammi, and Andersen, Mikael

Subjects
polycyclic compounds
Abstract

Branch A from hybrid maximum likelihood phylogeny (Fig. 1). Sections and species groups indicated by tip color; Orientation of hybrids N-type (NRPS-PKS) and P-type (PKS-NRPS) indicated by tip shape. Tip labels constist of jgi organism name, jgi protein id and associated compound (if applicable). Percentage values of 1000 times bootstrap are indicated in red next to the node.

Published
2019
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24. Genomic taxonomy of vibrios

Author

Iida Tetsuya, Alves Nelson, Ussery David W, Vesth Tammi, Vasconcelos Ana, Souza Rangel C, Vicente Ana, Thompson Cristiane C, and Thompson Fabiano L

Subjects
Evolution, QH359-425
Abstract

Abstract Background Vibrio taxonomy has been based on a polyphasic approach. In this study, we retrieve useful taxonomic information (i.e. data that can be used to distinguish different taxonomic levels, such as species and genera) from 32 genome sequences of different vibrio species. We use a variety of tools to explore the taxonomic relationship between the sequenced genomes, including Multilocus Sequence Analysis (MLSA), supertrees, Average Amino Acid Identity (AAI), genomic signatures, and Genome BLAST atlases. Our aim is to analyse the usefulness of these tools for species identification in vibrios. Results We have generated four new genome sequences of three Vibrio species, i.e., V. alginolyticus 40B, V. harveyi-like 1DA3, and V. mimicus strains VM573 and VM603, and present a broad analyses of these genomes along with other sequenced Vibrio species. The genome atlas and pangenome plots provide a tantalizing image of the genomic differences that occur between closely related sister species, e.g. V. cholerae and V. mimicus. The vibrio pangenome contains around 26504 genes. The V. cholerae core genome and pangenome consist of 1520 and 6923 genes, respectively. Pangenomes might allow different strains of V. cholerae to occupy different niches. MLSA and supertree analyses resulted in a similar phylogenetic picture, with a clear distinction of four groups (Vibrio core group, V. cholerae-V. mimicus, Aliivibrio spp., and Photobacterium spp.). A Vibrio species is defined as a group of strains that share > 95% DNA identity in MLSA and supertree analysis, > 96% AAI, ≤ 10 genome signature dissimilarity, and > 61% proteome identity. Strains of the same species and species of the same genus will form monophyletic groups on the basis of MLSA and supertree. Conclusion The combination of different analytical and bioinformatics tools will enable the most accurate species identification through genomic computational analysis. This endeavour will culminate in the birth of the online genomic taxonomy whereby researchers and end-users of taxonomy will be able to identify their isolates through a web-based server. This novel approach to microbial systematics will result in a tremendous advance concerning biodiversity discovery, description, and understanding.

Published
2009
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25. Resistance gene-directed genome mining of 50 Aspergillus species

Author

Kjærbølling, Inge, Vesth, Tammi, Andersen, Mikael R., Kjærbølling, Inge, Vesth, Tammi, and Andersen, Mikael R.

Abstract

Fungal secondary metabolites are a rich source of valuable natural products, and genome sequencing has revealed a proliferation of predicted biosynthetic gene clusters in the genomes. However, it is currently an unfeasible task to characterize all biosynthetic gene clusters and to identify possible uses of the compounds. Therefore, a rational approach is needed to identify a short list of gene clusters responsible for producing valuable compounds. To this end, several bioactive clusters include a resistance gene, which is a paralog of the target gene inhibited by the compound. This mechanism can be used to identify these clusters. We have developed the FRIGG (fungal resistance gene-directed genome mining) pipeline for identifying this type of biosynthetic gene cluster based on homology patterns of the cluster genes. In this work, the FRIGG pipeline was run using 51 Aspergillus and Penicillium genomes, identifying 72 unique families of putative resistance genes. The pipeline also identified the previously characterized resistance gene inpE from the fellutamide B cluster, thereby validating the approach. We have successfully developed an approach to identify putative valuable bioactive clusters based on a specific resistance mechanism. This approach will be highly useful as an ever-increasing amount of genomic data becomes available; the art of identifying and selecting the right clusters producing novel valuable compounds will only become more crucial. IMPORTANCE Species belonging to the Aspergillus genus are known to produce a large number of secondary metabolites; some of these compounds are used as pharmaceuticals, such as penicillin, cyclosporine, and statin. With whole-genome sequencing, it became apparent that the genetic potential for secondary metabolite production is much larger than expected. As an increasing number of species are whole-genome sequenced, thousands of secondary metabolite genes are predicted, and the question of how to selectively

Published
2019

26. Friends and foes - comparative genomics of 23 Aspergillus Flavi species

Author

Kjærbølling, Inge, Vesth, Tammi C., Nybo, Jane L., Theobald, Sebastian, Frisvad, Jens C., Kogle, Martin E., Lyhne, Ellen K., Kuo, Allan, Salamov, Asaf, Riley, Robert, Larsen, Thomas O., Mortensen, Uffe H., Grigoriev, Igor V., Baker, Scott E., and Andersen, Mikael R.

Published
2018

28. Novofumigatonin biosynthesis involves a non-heme iron-dependent endoperoxide isomerase for orthoester formation

Author

Matsuda, Yudai, primary, Bai, Tongxuan, additional, Phippen, Christopher B. W., additional, Nødvig, Christina S., additional, Kjærbølling, Inge, additional, Vesth, Tammi C., additional, Andersen, Mikael R., additional, Mortensen, Uffe H., additional, Gotfredsen, Charlotte H., additional, Abe, Ikuro, additional, and Larsen, Thomas O., additional

Published
2018
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29. Investigation of inter- and intraspecies variation through genome sequencing of Aspergillus section Nigri

Author

Vesth, Tammi C., Nybo, Jane L., Theobald, Sebastian, Frisvad, Jens C., Larsen, Thomas O., Nielsen, Kristian F., Hoof, Jakob B., Brandl, Julian, Salamov, Asaf, Riley, Robert, Gladden, John M., Phatale, Pallavi, Nielsen, Morten T., Lyhne, Ellen K., Kogle, Martin E., Strasser, Kimchi, McDonnell, Erin, Barry, Kerrie, Clum, Alicia, Chen, Cindy, LaButti, Kurt, Haridas, Sajeet, Nolan, Matt, Sandor, Laura, Kuo, Alan, Lipzen, Anna, Hainaut, Matthieu, Drula, Elodie, Tsang, Adrian, Magnuson, Jon K., Henrissat, Bernard, Wiebenga, Ad, Simmons, Blake A., Mäkelä, Miia R., de Vries, Ronald P., Grigoriev, Igor V., Mortensen, Uffe H., Baker, Scott E., Andersen, Mikael R., Vesth, Tammi C., Nybo, Jane L., Theobald, Sebastian, Frisvad, Jens C., Larsen, Thomas O., Nielsen, Kristian F., Hoof, Jakob B., Brandl, Julian, Salamov, Asaf, Riley, Robert, Gladden, John M., Phatale, Pallavi, Nielsen, Morten T., Lyhne, Ellen K., Kogle, Martin E., Strasser, Kimchi, McDonnell, Erin, Barry, Kerrie, Clum, Alicia, Chen, Cindy, LaButti, Kurt, Haridas, Sajeet, Nolan, Matt, Sandor, Laura, Kuo, Alan, Lipzen, Anna, Hainaut, Matthieu, Drula, Elodie, Tsang, Adrian, Magnuson, Jon K., Henrissat, Bernard, Wiebenga, Ad, Simmons, Blake A., Mäkelä, Miia R., de Vries, Ronald P., Grigoriev, Igor V., Mortensen, Uffe H., Baker, Scott E., and Andersen, Mikael R.

Abstract

Aspergillus section Nigri comprises filamentous fungi relevant to biomedicine, bioenergy, health, and biotechnology. To learn more about what genetically sets these species apart, as well as about potential applications in biotechnology and biomedicine, we sequenced 23 genomes de novo, forming a full genome compendium for the section (26 species), as well as 6 Aspergillus niger isolates. This allowed us to quantify both inter- and intraspecies genomic variation. We further predicted 17,903 carbohydrate-active enzymes and 2,717 secondary metabolite gene clusters, which we condensed into 455 distinct families corresponding to compound classes, 49% of which are only found in single species. We performed metabolomics and genetic engineering to correlate genotypes to phenotypes, as demonstrated for the metabolite aurasperone, and by heterologous transfer of citrate production to Aspergillus nidulans. Experimental and computational analyses showed that both secondary metabolism and regulation are key factors that are significant in the delineation of Aspergillus species.

Published
2018

30. Novofumigatonin biosynthesis involves a non-heme iron-dependent endoperoxide isomerase for orthoester formation

Author

Matsuda, Yudai, Bai, Tongxuan, Phippen, Christopher B. W., Nødvig, Christina Spuur, Kjærbølling, Inge, Vesth, Tammi Camilla, Andersen, Mikael Rørdam, Mortensen, Uffe Hasbro, Gotfredsen, Charlotte Held, Abe, Ikuro, Larsen, Thomas Ostenfeld, Matsuda, Yudai, Bai, Tongxuan, Phippen, Christopher B. W., Nødvig, Christina Spuur, Kjærbølling, Inge, Vesth, Tammi Camilla, Andersen, Mikael Rørdam, Mortensen, Uffe Hasbro, Gotfredsen, Charlotte Held, Abe, Ikuro, and Larsen, Thomas Ostenfeld

Published
2018

31. Investigation of inter- and intraspecies variation through genome sequencing of Aspergillus section Nigri

Author

Sub Molecular Microbiology, Sub Molecular Plant Physiology, Molecular Plant Physiology, Vesth, Tammi C., Nybo, Jane L., Theobald, Sebastian, Frisvad, Jens C., Larsen, Thomas O., Nielsen, Kristian F., Hoof, Jakob B., Brandl, Julian, Salamov, Asaf, Riley, Robert, Gladden, John M., Phatale, Pallavi, Nielsen, Morten T., Lyhne, Ellen K., Kogle, Martin E., Strasser, Kimchi, McDonnell, Erin, Barry, Kerrie, Clum, Alicia, Chen, Cindy, LaButti, Kurt, Haridas, Sajeet, Nolan, Matt, Sandor, Laura, Kuo, Alan, Lipzen, Anna, Hainaut, Matthieu, Drula, Elodie, Tsang, Adrian, Magnuson, Jon K., Henrissat, Bernard, Wiebenga, Ad, Simmons, Blake A., Mäkelä, Miia R., de Vries, Ronald P., Grigoriev, Igor V., Mortensen, Uffe H., Baker, Scott E., Andersen, Mikael R., Sub Molecular Microbiology, Sub Molecular Plant Physiology, Molecular Plant Physiology, Vesth, Tammi C., Nybo, Jane L., Theobald, Sebastian, Frisvad, Jens C., Larsen, Thomas O., Nielsen, Kristian F., Hoof, Jakob B., Brandl, Julian, Salamov, Asaf, Riley, Robert, Gladden, John M., Phatale, Pallavi, Nielsen, Morten T., Lyhne, Ellen K., Kogle, Martin E., Strasser, Kimchi, McDonnell, Erin, Barry, Kerrie, Clum, Alicia, Chen, Cindy, LaButti, Kurt, Haridas, Sajeet, Nolan, Matt, Sandor, Laura, Kuo, Alan, Lipzen, Anna, Hainaut, Matthieu, Drula, Elodie, Tsang, Adrian, Magnuson, Jon K., Henrissat, Bernard, Wiebenga, Ad, Simmons, Blake A., Mäkelä, Miia R., de Vries, Ronald P., Grigoriev, Igor V., Mortensen, Uffe H., Baker, Scott E., and Andersen, Mikael R.

Published
2018

32. The gold-standard genome of Aspergillus niger NRRL 3 enables a detailed view of the diversity of sugar catabolism in fungi

Author

de Vries, R.P., Aguilar-Pontes, Maria V., Brandl, Julian, McDonnell, Erin, Strasser, Kimchi, Riley, R., Mondo, Stephen J., Salamov, Asaf, Nybo, Jane L., Vesth, Tammi C., Grigoriev, Igor V, Andersen, M.R., Tsang, Adrian, de Vries, R.P., Aguilar-Pontes, Maria V., Brandl, Julian, McDonnell, Erin, Strasser, Kimchi, Riley, R., Mondo, Stephen J., Salamov, Asaf, Nybo, Jane L., Vesth, Tammi C., Grigoriev, Igor V, Andersen, M.R., and Tsang, Adrian

Published
2018

33. Investigation of inter- and intraspecies variation through genome sequencing of Aspergillus section Nigri

Author

Vesth, Tammi Camilla, Nybo, Jane L, Theobald, Sebastian, Frisvad, Jens Christian, Larsen, Thomas Ostenfeld, Nielsen, Kristian Fog, Hoof, Jakob Blæsbjerg, Brandl, Julian, Salamov, Asaf, Riley, Robert, Gladden, John M, Phatale, Pallavi, Nielsen, Morten T., Lyhne, Ellen K., Kogle, Martin Engelhard, Strasser, Kimchi, McDonnell, Erin, Barry, Kerrie, Clum, Alicia, Chen, Cindy, LaButti, Kurt, Haridas, Sajeet, Nolan, Matt, Sandor, Laura, Kuo, Alan, Lipzen, Anna, Hainaut, Matthieu, Drula, Elodie, Tsang, Adrian, Magnuson, Jon K, Henrissat, Bernard, Wiebenga, Ad, Simmons, Blake A, Mäkelä, Miia R, de Vries, Ronald P, Grigoriev, Igor V, Mortensen, Uffe Hasbro, Baker, Scott E, Andersen, Mikael Rørdam, Vesth, Tammi Camilla, Nybo, Jane L, Theobald, Sebastian, Frisvad, Jens Christian, Larsen, Thomas Ostenfeld, Nielsen, Kristian Fog, Hoof, Jakob Blæsbjerg, Brandl, Julian, Salamov, Asaf, Riley, Robert, Gladden, John M, Phatale, Pallavi, Nielsen, Morten T., Lyhne, Ellen K., Kogle, Martin Engelhard, Strasser, Kimchi, McDonnell, Erin, Barry, Kerrie, Clum, Alicia, Chen, Cindy, LaButti, Kurt, Haridas, Sajeet, Nolan, Matt, Sandor, Laura, Kuo, Alan, Lipzen, Anna, Hainaut, Matthieu, Drula, Elodie, Tsang, Adrian, Magnuson, Jon K, Henrissat, Bernard, Wiebenga, Ad, Simmons, Blake A, Mäkelä, Miia R, de Vries, Ronald P, Grigoriev, Igor V, Mortensen, Uffe Hasbro, Baker, Scott E, and Andersen, Mikael Rørdam

Abstract

Aspergillus section Nigri comprises filamentous fungi relevant to biomedicine, bioenergy, health, and biotechnology. To learn more about what genetically sets these species apart, as well as about potential applications in biotechnology and biomedicine, we sequenced 23 genomes de novo, forming a full genome compendium for the section (26 species), as well as 6 Aspergillus niger isolates. This allowed us to quantify both inter- and intraspecies genomic variation. We further predicted 17,903 carbohydrate-active enzymes and 2,717 secondary metabolite gene clusters, which we condensed into 455 distinct families corresponding to compound classes, 49% of which are only found in single species. We performed metabolomics and genetic engineering to correlate genotypes to phenotypes, as demonstrated for the metabolite aurasperone, and by heterologous transfer of citrate production to Aspergillus nidulans. Experimental and computational analyses showed that both secondary metabolism and regulation are key factors that are significant in the delineation of Aspergillus species.

Published
2018

34. Comparative genomics reveals high biological diversity and specific adaptations in the industrially and medically important fungal genus Aspergillus

Author

Vries, Ronald P. de, Riley, Robert, Wiebenga, Ad, Aguilar-Osorio, Guillermo, Amillis, Sotiris, Akemi Uchima, Cristiane, Anderluh, Gregor, Asaollahi, Mojtaba, Askin, Marion, Barry, Kerrie, Battaglia, Evy, Bayram, Ozgur, Benocci, Tiziano, Braus-Stromeyer, Susanna A., Caldana, Camila, Cerqueira, Gustavo C., Chen, Fusheng, Chen, Wanping, Choi, Cindy, Clum, Alicia, Diallinas, George, Flipphi, Michel, Freyburg, Susanne, Gallo, Antonia, Gournas, Christos, Habgood, Rob, Hainaut, Matthieu, Harispe, Maria Laura, Henrissat, Bernard, Hope, Ryan, Hossain, Abeer, Karabika, Eugenia, Karaffa, Levente, Karanyi, Zsolt, Krasevec, Nada, Kuo, Alan, Kusch, Harald, LaButti, Kurt, Lagendijk, Ellen L., Lapidus, Alla, Levasseur, Anthony, Lindquist, Erika, Lipzen, Anna, Logrieco, Antonio F., MacCabe, Andrew, Malavazi, Iran, Melin, Petter, Meyer, Vera, Mielnichuk, Natalia, Ngan, Chew Yee, Orejas, Margarita, Ouedraogo, Jean Paul, Overkamp, Karin M., Park, Hee-Soo, Perrone, Giancarlo, Piumi, Francois, Punt, Peter J., Ram, Arthur F.J., Ramon, Ana, Rauscher, Stefan, Record, Eric, Robert, Vincent, Ruller, Roberto, Salamov, Asaf, Salih, Nadhira S., Samson, Rob A., Sanguinetti, Manuel, Sep?i?, Kristina, Shelest, Ekaterina, Sherlock, Gavin, Sophianopoulou, Vicky, Squina, Fabio M., Sun, Hui, Susca, Antonia, Todd, Richard B., Tsang, Adrian, Unkles, Shiela E., Wiele, Nathalie van de, Rossen-Uffink, Diana van, Velasco de Castro Oliveira, Juliana, Vesth, Tammi C., Visser, Jaap, Yu, Jae-Hyuk, Zhou, Miaomiao, Andersen, Mikael R., Archer, David B., Baker, Scott E., Benoit, Isabelle, Brakhage, Axel A., Braus, Gerhard H., Fischer, Reinhard, Frisvad, Jens C., Goldman, Gustavo H., Houbraken, Jos, Oakley, Berl, Scazzocchio, Claudio, Seiboth, Bernhard, vanKuyk, Patricia A., Wortman, Jennifer, Dyer, Paul S., and Grigoriev, Igor V.

Subjects
Genome sequencing, Comparative genomics, Fungal biology
Abstract

Background: The fungal genus Aspergillus is of critical importance to humankind. Species include those with industrial applications, important pathogens of humans, animals and crops, a source of potent carcinogenic contaminants of food, and an important genetic model. The genome sequences of eight aspergilli have already been explored to investigate aspects of fungal biology, raising questions about evolution and specialization within this genus. Results: We have generated genome sequences for ten novel, highly diverse Aspergillus species and compared these in detail to sister and more distant genera. Comparative studies of key aspects of fungal biology, including primary and secondary metabolism, stress response, biomass degradation, and signal transduction, revealed both conservation and diversity among the species. Observed genomic differences were validated with experimental studies. This revealed several highlights, such as the potential for sex in asexual species, organic acid production genes being a key feature of black aspergilli, alternative approaches for degrading plant biomass, and indications for the genetic basis of stress response. A genome-wide phylogenetic analysis demonstrated in detail the relationship of the newly genome sequenced species with other aspergilli. Conclusions: Many aspects of biological differences between fungal species cannot be explained by current knowledge obtained from genome sequences. The comparative genomics and experimental study, presented here, allows for the first time a genus-wide view of the biological diversity of the aspergilli and in many, but not all, cases linked genome differences to phenotype. Insights gained could be exploited for biotechnological and medical applications of fungi.

Published
2017

35. Additional file 34: of Comparative genomics reveals high biological diversity and specific adaptations in the industrially and medically important fungal genus Aspergillus

Author

Vries, Ronald De, Riley, Robert, Wiebenga, Ad, Aguilar-Osorio, Guillermo, Sotiris Amillis, Cristiane Uchima, Anderluh, Gregor, Asadollahi, Mojtaba, Askin, Marion, Barry, Kerrie, Battaglia, Evy, Bayram, Özgür, Benocci, Tiziano, Braus-Stromeyer, Susanna, Caldana, Camila, Cánovas, David, Cerqueira, Gustavo, Fusheng Chen, Wanping Chen, Choi, Cindy, Clum, Alicia, Santos, Renato Dos, Damásio, André, Diallinas, George, Emri, Tamás, Fekete, Erzsébet, Flipphi, Michel, Freyberg, Susanne, Gallo, Antonia, Gournas, Christos, Habgood, Rob, Hainaut, Matthieu, Harispe, María, Henrissat, Bernard, Hildén, Kristiina, Hope, Ryan, Hossain, Abeer, Karabika, Eugenia, Karaffa, Levente, Karányi, Zsolt, Kraševec, Nada, Kuo, Alan, Kusch, Harald, LaButti, Kurt, Lagendijk, Ellen, Lapidus, Alla, Levasseur, Anthony, Lindquist, Erika, Lipzen, Anna, Logrieco, Antonio, MacCabe, Andrew, Mäkelä, Miia, Malavazi, Iran, Melin, Petter, Meyer, Vera, Mielnichuk, Natalia, Miskei, Márton, Molnár, Ákos, Mulé, Giuseppina, Chew Ngan, Orejas, Margarita, Orosz, Erzsébet, Ouedraogo, Jean, Overkamp, Karin, Park, Hee-Soo, Perrone, Giancarlo, Francois Piumi, Punt, Peter, Ram, Arthur, Ramón, Ana, Rauscher, Stefan, Record, Eric, Riaño-Pachón, Diego, Robert, Vincent, Röhrig, Julian, Ruller, Roberto, Salamov, Asaf, Nadhira Salih, Samson, Rob, Sándor, Erzsébet, Sanguinetti, Manuel, Schütze, Tabea, Sepčić, Kristina, Shelest, Ekaterina, Sherlock, Gavin, Sophianopoulou, Vicky, Squina, Fabio, Sun, Hui, Susca, Antonia, Todd, Richard, Tsang, Adrian, Unkles, Shiela, Wiele, Nathalie Van De, Rossen-Uffink, Diana Van, Oliveira, Juliana, Vesth, Tammi, Visser, Jaap, Jae-Hyuk Yu, Miaomiao Zhou, Andersen, Mikael, Archer, David, Baker, Scott, Benoit, Isabelle, Brakhage, Axel, Braus, Gerhard, Fischer, Reinhard, Frisvad, Jens, Goldman, Gustavo, Houbraken, Jos, Berl Oakley, Pócsi, István, Scazzocchio, Claudio, Seiboth, Bernhard, VanKuyk, Patricia, Wortman, Jennifer, Dyer, Paul, and Grigoriev, Igor

Abstract

Histones of the Aspergilli. (PDF 526 kb)

Published
2017
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36. Additional file 23: of Comparative genomics reveals high biological diversity and specific adaptations in the industrially and medically important fungal genus Aspergillus

Author

Vries, Ronald De, Riley, Robert, Wiebenga, Ad, Aguilar-Osorio, Guillermo, Sotiris Amillis, Cristiane Uchima, Anderluh, Gregor, Asadollahi, Mojtaba, Askin, Marion, Barry, Kerrie, Battaglia, Evy, Bayram, Özgür, Benocci, Tiziano, Braus-Stromeyer, Susanna, Caldana, Camila, Cánovas, David, Cerqueira, Gustavo, Fusheng Chen, Wanping Chen, Choi, Cindy, Clum, Alicia, Santos, Renato Dos, Damásio, André, Diallinas, George, Emri, Tamás, Fekete, Erzsébet, Flipphi, Michel, Freyberg, Susanne, Gallo, Antonia, Gournas, Christos, Habgood, Rob, Hainaut, Matthieu, Harispe, María, Henrissat, Bernard, Hildén, Kristiina, Hope, Ryan, Hossain, Abeer, Karabika, Eugenia, Karaffa, Levente, Karányi, Zsolt, Kraševec, Nada, Kuo, Alan, Kusch, Harald, LaButti, Kurt, Lagendijk, Ellen, Lapidus, Alla, Levasseur, Anthony, Lindquist, Erika, Lipzen, Anna, Logrieco, Antonio, MacCabe, Andrew, Mäkelä, Miia, Malavazi, Iran, Melin, Petter, Meyer, Vera, Mielnichuk, Natalia, Miskei, Márton, Molnár, Ákos, Mulé, Giuseppina, Chew Ngan, Orejas, Margarita, Orosz, Erzsébet, Ouedraogo, Jean, Overkamp, Karin, Park, Hee-Soo, Perrone, Giancarlo, Francois Piumi, Punt, Peter, Ram, Arthur, Ramón, Ana, Rauscher, Stefan, Record, Eric, Riaño-Pachón, Diego, Robert, Vincent, Röhrig, Julian, Ruller, Roberto, Salamov, Asaf, Nadhira Salih, Samson, Rob, Sándor, Erzsébet, Sanguinetti, Manuel, Schütze, Tabea, Sepčić, Kristina, Shelest, Ekaterina, Sherlock, Gavin, Sophianopoulou, Vicky, Squina, Fabio, Sun, Hui, Susca, Antonia, Todd, Richard, Tsang, Adrian, Unkles, Shiela, Wiele, Nathalie Van De, Rossen-Uffink, Diana Van, Oliveira, Juliana, Vesth, Tammi, Visser, Jaap, Jae-Hyuk Yu, Miaomiao Zhou, Andersen, Mikael, Archer, David, Baker, Scott, Benoit, Isabelle, Brakhage, Axel, Braus, Gerhard, Fischer, Reinhard, Frisvad, Jens, Goldman, Gustavo, Houbraken, Jos, Berl Oakley, Pócsi, István, Scazzocchio, Claudio, Seiboth, Bernhard, VanKuyk, Patricia, Wortman, Jennifer, Dyer, Paul, and Grigoriev, Igor

Abstract

Maximum likelihood tree of YAT transporters in the aspergilli. (PDF 89 kb)

Published
2017
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37. Additional file 8: of Comparative genomics reveals high biological diversity and specific adaptations in the industrially and medically important fungal genus Aspergillus

Author

Vries, Ronald De, Riley, Robert, Wiebenga, Ad, Aguilar-Osorio, Guillermo, Sotiris Amillis, Cristiane Uchima, Anderluh, Gregor, Asadollahi, Mojtaba, Askin, Marion, Barry, Kerrie, Battaglia, Evy, Bayram, Özgür, Benocci, Tiziano, Braus-Stromeyer, Susanna, Caldana, Camila, Cánovas, David, Cerqueira, Gustavo, Fusheng Chen, Wanping Chen, Choi, Cindy, Clum, Alicia, Santos, Renato Dos, Damásio, André, Diallinas, George, Emri, Tamás, Fekete, Erzsébet, Flipphi, Michel, Freyberg, Susanne, Gallo, Antonia, Gournas, Christos, Habgood, Rob, Hainaut, Matthieu, Harispe, María, Henrissat, Bernard, Hildén, Kristiina, Hope, Ryan, Hossain, Abeer, Karabika, Eugenia, Karaffa, Levente, Karányi, Zsolt, Kraševec, Nada, Kuo, Alan, Kusch, Harald, LaButti, Kurt, Lagendijk, Ellen, Lapidus, Alla, Levasseur, Anthony, Lindquist, Erika, Lipzen, Anna, Logrieco, Antonio, MacCabe, Andrew, Mäkelä, Miia, Malavazi, Iran, Melin, Petter, Meyer, Vera, Mielnichuk, Natalia, Miskei, Márton, Molnár, Ákos, Mulé, Giuseppina, Chew Ngan, Orejas, Margarita, Orosz, Erzsébet, Ouedraogo, Jean, Overkamp, Karin, Park, Hee-Soo, Perrone, Giancarlo, Francois Piumi, Punt, Peter, Ram, Arthur, Ramón, Ana, Rauscher, Stefan, Record, Eric, Riaño-Pachón, Diego, Robert, Vincent, Röhrig, Julian, Ruller, Roberto, Salamov, Asaf, Nadhira Salih, Samson, Rob, Sándor, Erzsébet, Sanguinetti, Manuel, Schütze, Tabea, Sepčić, Kristina, Shelest, Ekaterina, Sherlock, Gavin, Sophianopoulou, Vicky, Squina, Fabio, Sun, Hui, Susca, Antonia, Todd, Richard, Tsang, Adrian, Unkles, Shiela, Wiele, Nathalie Van De, Rossen-Uffink, Diana Van, Oliveira, Juliana, Vesth, Tammi, Visser, Jaap, Jae-Hyuk Yu, Miaomiao Zhou, Andersen, Mikael, Archer, David, Baker, Scott, Benoit, Isabelle, Brakhage, Axel, Braus, Gerhard, Fischer, Reinhard, Frisvad, Jens, Goldman, Gustavo, Houbraken, Jos, Berl Oakley, Pócsi, István, Scazzocchio, Claudio, Seiboth, Bernhard, VanKuyk, Patricia, Wortman, Jennifer, Dyer, Paul, and Grigoriev, Igor

Subjects
body regions, inorganic chemicals, nervous system, fungi
Abstract

Effect of SHAM and KCN on fungal growth and sporulation. (PDF 252 kb)

Published
2017
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38. Additional file 7: of Comparative genomics reveals high biological diversity and specific adaptations in the industrially and medically important fungal genus Aspergillus

Author

Vries, Ronald De, Riley, Robert, Wiebenga, Ad, Aguilar-Osorio, Guillermo, Sotiris Amillis, Cristiane Uchima, Anderluh, Gregor, Asadollahi, Mojtaba, Askin, Marion, Barry, Kerrie, Battaglia, Evy, Bayram, Özgür, Benocci, Tiziano, Braus-Stromeyer, Susanna, Caldana, Camila, Cánovas, David, Cerqueira, Gustavo, Fusheng Chen, Wanping Chen, Choi, Cindy, Clum, Alicia, Santos, Renato Dos, Damásio, André, Diallinas, George, Emri, Tamás, Fekete, Erzsébet, Flipphi, Michel, Freyberg, Susanne, Gallo, Antonia, Gournas, Christos, Habgood, Rob, Hainaut, Matthieu, Harispe, María, Henrissat, Bernard, Hildén, Kristiina, Hope, Ryan, Hossain, Abeer, Karabika, Eugenia, Karaffa, Levente, Karányi, Zsolt, Kraševec, Nada, Kuo, Alan, Kusch, Harald, LaButti, Kurt, Lagendijk, Ellen, Lapidus, Alla, Levasseur, Anthony, Lindquist, Erika, Lipzen, Anna, Logrieco, Antonio, MacCabe, Andrew, Mäkelä, Miia, Malavazi, Iran, Melin, Petter, Meyer, Vera, Mielnichuk, Natalia, Miskei, Márton, Molnár, Ákos, Mulé, Giuseppina, Chew Ngan, Orejas, Margarita, Orosz, Erzsébet, Ouedraogo, Jean, Overkamp, Karin, Park, Hee-Soo, Perrone, Giancarlo, Francois Piumi, Punt, Peter, Ram, Arthur, Ramón, Ana, Rauscher, Stefan, Record, Eric, Riaño-Pachón, Diego, Robert, Vincent, Röhrig, Julian, Ruller, Roberto, Salamov, Asaf, Nadhira Salih, Samson, Rob, Sándor, Erzsébet, Sanguinetti, Manuel, Schütze, Tabea, Sepčić, Kristina, Shelest, Ekaterina, Sherlock, Gavin, Sophianopoulou, Vicky, Squina, Fabio, Sun, Hui, Susca, Antonia, Todd, Richard, Tsang, Adrian, Unkles, Shiela, Wiele, Nathalie Van De, Rossen-Uffink, Diana Van, Oliveira, Juliana, Vesth, Tammi, Visser, Jaap, Jae-Hyuk Yu, Miaomiao Zhou, Andersen, Mikael, Archer, David, Baker, Scott, Benoit, Isabelle, Brakhage, Axel, Braus, Gerhard, Fischer, Reinhard, Frisvad, Jens, Goldman, Gustavo, Houbraken, Jos, Berl Oakley, Pócsi, István, Scazzocchio, Claudio, Seiboth, Bernhard, VanKuyk, Patricia, Wortman, Jennifer, Dyer, Paul, and Grigoriev, Igor

Abstract

Comparative growth profiling of the aspergilli and selected other fungi. (PDF 8.65 kb)

Published
2017
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39. Additional file 6: of Comparative genomics reveals high biological diversity and specific adaptations in the industrially and medically important fungal genus Aspergillus

Author

Vries, Ronald De, Riley, Robert, Wiebenga, Ad, Aguilar-Osorio, Guillermo, Sotiris Amillis, Cristiane Uchima, Anderluh, Gregor, Asadollahi, Mojtaba, Askin, Marion, Barry, Kerrie, Battaglia, Evy, Bayram, Özgür, Benocci, Tiziano, Braus-Stromeyer, Susanna, Caldana, Camila, Cánovas, David, Cerqueira, Gustavo, Fusheng Chen, Wanping Chen, Choi, Cindy, Clum, Alicia, Santos, Renato Dos, Damásio, André, Diallinas, George, Emri, Tamás, Fekete, Erzsébet, Flipphi, Michel, Freyberg, Susanne, Gallo, Antonia, Gournas, Christos, Habgood, Rob, Hainaut, Matthieu, Harispe, María, Henrissat, Bernard, Hildén, Kristiina, Hope, Ryan, Hossain, Abeer, Karabika, Eugenia, Karaffa, Levente, Karányi, Zsolt, Kraševec, Nada, Kuo, Alan, Kusch, Harald, LaButti, Kurt, Lagendijk, Ellen, Lapidus, Alla, Levasseur, Anthony, Lindquist, Erika, Lipzen, Anna, Logrieco, Antonio, MacCabe, Andrew, Mäkelä, Miia, Malavazi, Iran, Melin, Petter, Meyer, Vera, Mielnichuk, Natalia, Miskei, Márton, Molnár, Ákos, Mulé, Giuseppina, Chew Ngan, Orejas, Margarita, Orosz, Erzsébet, Ouedraogo, Jean, Overkamp, Karin, Park, Hee-Soo, Perrone, Giancarlo, Francois Piumi, Punt, Peter, Ram, Arthur, Ramón, Ana, Rauscher, Stefan, Record, Eric, Riaño-Pachón, Diego, Robert, Vincent, Röhrig, Julian, Ruller, Roberto, Salamov, Asaf, Nadhira Salih, Samson, Rob, Sándor, Erzsébet, Sanguinetti, Manuel, Schütze, Tabea, Sepčić, Kristina, Shelest, Ekaterina, Sherlock, Gavin, Sophianopoulou, Vicky, Squina, Fabio, Sun, Hui, Susca, Antonia, Todd, Richard, Tsang, Adrian, Unkles, Shiela, Wiele, Nathalie Van De, Rossen-Uffink, Diana Van, Oliveira, Juliana, Vesth, Tammi, Visser, Jaap, Jae-Hyuk Yu, Miaomiao Zhou, Andersen, Mikael, Archer, David, Baker, Scott, Benoit, Isabelle, Brakhage, Axel, Braus, Gerhard, Fischer, Reinhard, Frisvad, Jens, Goldman, Gustavo, Houbraken, Jos, Berl Oakley, Pócsi, István, Scazzocchio, Claudio, Seiboth, Bernhard, VanKuyk, Patricia, Wortman, Jennifer, Dyer, Paul, and Grigoriev, Igor

Subjects
body regions, animal structures, nervous system, fungi
Abstract

Overview of number of putative orthologs/paralogs in the compared fungal species related to primary carbon metabolism. (PDF 237 kb)

Published
2017
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40. Additional file 5: of Comparative genomics reveals high biological diversity and specific adaptations in the industrially and medically important fungal genus Aspergillus

Author

Vries, Ronald De, Riley, Robert, Wiebenga, Ad, Aguilar-Osorio, Guillermo, Sotiris Amillis, Cristiane Uchima, Anderluh, Gregor, Asadollahi, Mojtaba, Askin, Marion, Barry, Kerrie, Battaglia, Evy, Bayram, Özgür, Benocci, Tiziano, Braus-Stromeyer, Susanna, Caldana, Camila, Cánovas, David, Cerqueira, Gustavo, Fusheng Chen, Wanping Chen, Choi, Cindy, Clum, Alicia, Santos, Renato Dos, Damásio, André, Diallinas, George, Emri, Tamás, Fekete, Erzsébet, Flipphi, Michel, Freyberg, Susanne, Gallo, Antonia, Gournas, Christos, Habgood, Rob, Hainaut, Matthieu, Harispe, María, Henrissat, Bernard, Hildén, Kristiina, Hope, Ryan, Hossain, Abeer, Karabika, Eugenia, Karaffa, Levente, Karányi, Zsolt, Kraševec, Nada, Kuo, Alan, Kusch, Harald, LaButti, Kurt, Lagendijk, Ellen, Lapidus, Alla, Levasseur, Anthony, Lindquist, Erika, Lipzen, Anna, Logrieco, Antonio, MacCabe, Andrew, Mäkelä, Miia, Malavazi, Iran, Melin, Petter, Meyer, Vera, Mielnichuk, Natalia, Miskei, Márton, Molnár, Ákos, Mulé, Giuseppina, Chew Ngan, Orejas, Margarita, Orosz, Erzsébet, Ouedraogo, Jean, Overkamp, Karin, Park, Hee-Soo, Perrone, Giancarlo, Francois Piumi, Punt, Peter, Ram, Arthur, Ramón, Ana, Rauscher, Stefan, Record, Eric, Riaño-Pachón, Diego, Robert, Vincent, Röhrig, Julian, Ruller, Roberto, Salamov, Asaf, Nadhira Salih, Samson, Rob, Sándor, Erzsébet, Sanguinetti, Manuel, Schütze, Tabea, Sepčić, Kristina, Shelest, Ekaterina, Sherlock, Gavin, Sophianopoulou, Vicky, Squina, Fabio, Sun, Hui, Susca, Antonia, Todd, Richard, Tsang, Adrian, Unkles, Shiela, Wiele, Nathalie Van De, Rossen-Uffink, Diana Van, Oliveira, Juliana, Vesth, Tammi, Visser, Jaap, Jae-Hyuk Yu, Miaomiao Zhou, Andersen, Mikael, Archer, David, Baker, Scott, Benoit, Isabelle, Brakhage, Axel, Braus, Gerhard, Fischer, Reinhard, Frisvad, Jens, Goldman, Gustavo, Houbraken, Jos, Berl Oakley, Pócsi, István, Scazzocchio, Claudio, Seiboth, Bernhard, VanKuyk, Patricia, Wortman, Jennifer, Dyer, Paul, and Grigoriev, Igor

Subjects
body regions, nervous system, fungi, behavior and behavior mechanisms, reproductive and urinary physiology
Abstract

Expression of mating and pheromone-signalling pathway genes in representative asexual aspergilli. (PDF 488 kb)

Published
2017
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41. Additional file 15: of Comparative genomics reveals high biological diversity and specific adaptations in the industrially and medically important fungal genus Aspergillus

Author

Vries, Ronald De, Riley, Robert, Wiebenga, Ad, Aguilar-Osorio, Guillermo, Sotiris Amillis, Cristiane Uchima, Anderluh, Gregor, Asadollahi, Mojtaba, Askin, Marion, Barry, Kerrie, Battaglia, Evy, Bayram, Özgür, Benocci, Tiziano, Braus-Stromeyer, Susanna, Caldana, Camila, Cánovas, David, Cerqueira, Gustavo, Fusheng Chen, Wanping Chen, Choi, Cindy, Clum, Alicia, Santos, Renato Dos, Damásio, André, Diallinas, George, Emri, Tamás, Fekete, Erzsébet, Flipphi, Michel, Freyberg, Susanne, Gallo, Antonia, Gournas, Christos, Habgood, Rob, Hainaut, Matthieu, Harispe, María, Henrissat, Bernard, Hildén, Kristiina, Hope, Ryan, Hossain, Abeer, Karabika, Eugenia, Karaffa, Levente, Karányi, Zsolt, Kraševec, Nada, Kuo, Alan, Kusch, Harald, LaButti, Kurt, Lagendijk, Ellen, Lapidus, Alla, Levasseur, Anthony, Lindquist, Erika, Lipzen, Anna, Logrieco, Antonio, MacCabe, Andrew, Mäkelä, Miia, Malavazi, Iran, Melin, Petter, Meyer, Vera, Mielnichuk, Natalia, Miskei, Márton, Molnár, Ákos, Mulé, Giuseppina, Chew Ngan, Orejas, Margarita, Orosz, Erzsébet, Ouedraogo, Jean, Overkamp, Karin, Park, Hee-Soo, Perrone, Giancarlo, Francois Piumi, Punt, Peter, Ram, Arthur, Ramón, Ana, Rauscher, Stefan, Record, Eric, Riaño-Pachón, Diego, Robert, Vincent, Röhrig, Julian, Ruller, Roberto, Salamov, Asaf, Nadhira Salih, Samson, Rob, Sándor, Erzsébet, Sanguinetti, Manuel, Schütze, Tabea, Sepčić, Kristina, Shelest, Ekaterina, Sherlock, Gavin, Sophianopoulou, Vicky, Squina, Fabio, Sun, Hui, Susca, Antonia, Todd, Richard, Tsang, Adrian, Unkles, Shiela, Wiele, Nathalie Van De, Rossen-Uffink, Diana Van, Oliveira, Juliana, Vesth, Tammi, Visser, Jaap, Jae-Hyuk Yu, Miaomiao Zhou, Andersen, Mikael, Archer, David, Baker, Scott, Benoit, Isabelle, Brakhage, Axel, Braus, Gerhard, Fischer, Reinhard, Frisvad, Jens, Goldman, Gustavo, Houbraken, Jos, Berl Oakley, Pócsi, István, Scazzocchio, Claudio, Seiboth, Bernhard, VanKuyk, Patricia, Wortman, Jennifer, Dyer, Paul, and Grigoriev, Igor

Abstract

Extended analysis of stress tolerance of the aspergilli. (PDF 706 kb)

Published
2017
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42. The Aspergillus Mine - publishing bioinformatics

Author

Vesth, Tammi Camilla, Rasmussen, Jane Lind Nybo, Theobald, Sebastian, Kjærbølling, Inge, Frisvad, Jens Christian, Nielsen, Kristian Fog, Lyhne, Ellen Kirstine, Kogle, Martin Engelhard, Kuo, Alan, Riley, Robert, de Vries, R.P., Grigoriev, Igor V., Mortensen, Uffe Hasbro, Henrissat, Bernard, Baker, Scott E., and Andersen, Mikael Rørdam

Subjects
Bioinformatic, Aspergillus, Comparative genomics, Data publishing, Fungi
Abstract

Genome analysis is no longer a field reserved for specialists and experimental laboratories are doing groundbreaking research using genome sequencing and analysis. In this new era, it is essential that data, analysis and results are shared between scientists. But this can be a challenge, even more so with no computational specialist. Here we present a setup for analysis and publication of genome data of 70 species of Aspergillus fungi. The platform is based on R, Python and uses the RShiny framework to create interactive web‐applications. It allows all participants to create interactive analysis which can be shared with the team and in connection with publications. We present analysis for investigation of genetic diversity, secondary and primary metabolism and general data overview. The platform, the Aspergillus Mine, is a collection of analysis tools based on data from collaboration with the Joint Genome Institute. The Aspergillus Mine is not intended as a genomic data sharing service but instead focuses on creating an environment where the results of bioinformatic analysis is made available for inspection. The data and code is public upon request and figures can be obtained directly from the web‐app. This resource will be of great benefit to the Aspergillus community which is in a rapid development in regards to genome sequencing and analysis. At the moment, the service includes analysis of more than 70 genomes, and is expected to double in the next 6 months, with the final goal of the project is the analysis of 300 Aspergillus species.

Published
2016
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43. Comparative genomics reveals high biological diversity and specific adaptations in the industrially and medically important fungal genus Aspergillus

Author

de Vries, Ronald P., Riley, Robert, Wiebenga, Ad, Aguilar-Osorio, Guillermo, Amillis, Sotiris, Uchima, Cristiane Akemi, Anderluh, Gregor, Asadollahi, Mojtaba, Askin, Marion, Barry, Kerrie W, Battaglia, Evy, Bayram, Ozgur, Benocci, Tiziano, Braus-Stromeyer, Susanna A., Caldana, Camila, Canovas, David, Cerqueira, Gustavo C., Chen, Fusheng, Chen, Wanping, Choi, Cindy, Clum, Alicia, Correa dos Santos, Renato Augusto, de Lima Damasio, Andre Ricardo, Diallinas, George, Emri, Tamas, Fekete, Erzsebet, Flipphi, Michel, Freyberg, Susanne, Gallo, Antonia, Gournas, Christos, Habgood, Rob, Hainaut, Matthieu, Laura Harispe, Maria, Henrissat, Bernard, Hilden, Kristiina S., Hope, Ryan, Hossain, Abeer, Karabika, Eugenia, Karaffa, Levente, Karanyi, Zsolt, Krasevec, Nada, Kuo, Alan, Kusch, Harald, LaButti, Kurt M, Lagendijk, Ellen L., Lapidus, Alla, Levasseur, Anthony, Lindquist, Erika A, Lipzen, Anna M, Logrieco, Antonio F., Maccabe, Andrew, Makela, Miia R., Malavazi, Iran, Melin, Petter, Meyer, Vera, Mielnichuk, Natalia, Miskei, Marton, Molnar, Akos P., Mule, Giuseppina, Ngan, Chew Yee, Orejas, Margarita, Orosz, Erzsebet, Ouedraogo, Jean Paul, Overkamp, Karin M, Park, Hee-Soo, Perrone, Giancarlo, Piumi, Francois, Punt, Peter J, Ram, Arthur F J, Ramon, Ana, Rauscher, Stefan, Record, Eric, Riano-Pachon, Diego Mauricio, Robert, Vincent, Roehrig, Julian, Ruller, Roberto, Salamov, Asaf, Salih, Nadhira S., Samson, Rob A., Sandor, Erzsebet, Sanguinetti, Manuel, Schutze, Tabea, Sepcic, Kristina, Shelest, Ekaterina, Sherlock, Gavin, Sophianopoulou, Vicky, Squina, FabioM., Sun, Hui, Susca, Antonia, Todd, Richard B, Tsang, Adrian, Unkles, Shiela E., van de Wiele, Nathalie, van Rossen-Uffink, Diana, de Castro Oliveira, Juliana Velasco, Vesth, Tammi C., Visser, Jaap, Yu, Jae-Hyuk, Zhou, Miaomiao, Andersen, Mikael R, Archer, David B., Baker, Scott E, Benoit, Isabelle, Brakhage, Axel A, Braus, Gerhard H., Fischer, Reinhard, Frisvad, Jens C., Goldman, Gustavo H., Houbraken, Jos, Oakley, Berl R, Pocsi, Istvan, Scazzocchio, Claudio, Seiboth, Bernhard, vanKuyk, Patricia A, Wortman, Jennifer Russo, Dyer, Paul S, Grigoriev, Igor V, de Vries, Ronald P., Riley, Robert, Wiebenga, Ad, Aguilar-Osorio, Guillermo, Amillis, Sotiris, Uchima, Cristiane Akemi, Anderluh, Gregor, Asadollahi, Mojtaba, Askin, Marion, Barry, Kerrie W, Battaglia, Evy, Bayram, Ozgur, Benocci, Tiziano, Braus-Stromeyer, Susanna A., Caldana, Camila, Canovas, David, Cerqueira, Gustavo C., Chen, Fusheng, Chen, Wanping, Choi, Cindy, Clum, Alicia, Correa dos Santos, Renato Augusto, de Lima Damasio, Andre Ricardo, Diallinas, George, Emri, Tamas, Fekete, Erzsebet, Flipphi, Michel, Freyberg, Susanne, Gallo, Antonia, Gournas, Christos, Habgood, Rob, Hainaut, Matthieu, Laura Harispe, Maria, Henrissat, Bernard, Hilden, Kristiina S., Hope, Ryan, Hossain, Abeer, Karabika, Eugenia, Karaffa, Levente, Karanyi, Zsolt, Krasevec, Nada, Kuo, Alan, Kusch, Harald, LaButti, Kurt M, Lagendijk, Ellen L., Lapidus, Alla, Levasseur, Anthony, Lindquist, Erika A, Lipzen, Anna M, Logrieco, Antonio F., Maccabe, Andrew, Makela, Miia R., Malavazi, Iran, Melin, Petter, Meyer, Vera, Mielnichuk, Natalia, Miskei, Marton, Molnar, Akos P., Mule, Giuseppina, Ngan, Chew Yee, Orejas, Margarita, Orosz, Erzsebet, Ouedraogo, Jean Paul, Overkamp, Karin M, Park, Hee-Soo, Perrone, Giancarlo, Piumi, Francois, Punt, Peter J, Ram, Arthur F J, Ramon, Ana, Rauscher, Stefan, Record, Eric, Riano-Pachon, Diego Mauricio, Robert, Vincent, Roehrig, Julian, Ruller, Roberto, Salamov, Asaf, Salih, Nadhira S., Samson, Rob A., Sandor, Erzsebet, Sanguinetti, Manuel, Schutze, Tabea, Sepcic, Kristina, Shelest, Ekaterina, Sherlock, Gavin, Sophianopoulou, Vicky, Squina, FabioM., Sun, Hui, Susca, Antonia, Todd, Richard B, Tsang, Adrian, Unkles, Shiela E., van de Wiele, Nathalie, van Rossen-Uffink, Diana, de Castro Oliveira, Juliana Velasco, Vesth, Tammi C., Visser, Jaap, Yu, Jae-Hyuk, Zhou, Miaomiao, Andersen, Mikael R, Archer, David B., Baker, Scott E, Benoit, Isabelle, Brakhage, Axel A, Braus, Gerhard H., Fischer, Reinhard, Frisvad, Jens C., Goldman, Gustavo H., Houbraken, Jos, Oakley, Berl R, Pocsi, Istvan, Scazzocchio, Claudio, Seiboth, Bernhard, vanKuyk, Patricia A, Wortman, Jennifer Russo, Dyer, Paul S, and Grigoriev, Igor V

Published
2017

44. Comparative genomics reveals high biological diversity and specific adaptations in the industrially and medically important fungal genus Aspergillus

Author

de Vries, Ronald, Riley, Robert, Wiebenga, Ad, Aguilar-Osorio, Guillermo, Amillis, Sotiris, Akemi Uchima, Cristiane, Anderluh, Gregor, Asadollahi, Mojtaba, Askin, Marion, Barry, Kerrie, Battaglia, Evy, Bayram, Ozgur, Benocci, Tiziano, Braus-Stromeyer, Susanna A., Caldana, Camila, Canovas, David, Cerqueira, Gustavo C., Chen, Fusheng, Chen, Wanping, Choi, Cindy, Clum, Alicia, Correa dos Santos, Renato Augusto, de Lima Damasio, Andre Ricardo, Diallinas, George, Emri, Tamas, Fekete, Erzsebet, Flipphi, Michel, Freyberg, Susanne, Gallo, Antonia, Gournas, Christos, Habgood, Rob, Hainaut, Matthieu, Harispe, Maria Laura, Henrissat, Bernard, Hilden, Kristiina S., Hope, Ryan, Hossain, Abeer, Karabika, Eugenia, Karaffa, Levente, Karanyi, Zsolt, Krasevec, Nada, Kuo, Alan, Kusch, Harald, LaButti, Kurt, Lagendijk, Ellen L., Lapidus, Alla, Levasseur, Anthony, Lindquist, Erika, Lipzen, Anna, Logrieco, Antonio F., MacCabe, Andrew, Makela, Miia R., Malavazi, Iran, Melin, Petter, Meyer, Vera, Mielnichuk, Natalia, Miskei, Marton, Molnar, Akos P., Mule, Giuseppina, Ngan, Chew Yee, Orejas, Margarita, Orosz, Erzsebet, Ouedraogo, Jean Paul, Overkamp, Karin M., Park, Hee-Soo, Perrone, Giancarlo, Piumi, Francois, Punt, Peter J., Ram, Arthur F.J., Ramon, Ana, Rauscher, Stefan, Record, Eric, Riano-Pachon, Diego Mauricio, Robert, Vincent, Rohrig, Julian, Ruller, Roberto, Salamov, Asaf, Salih, Nadhira S., Samson, Rob A., Sandor, Erzsebet, Sanguinetti, Manuel, Schutze, Tabea, Sepcic, Kristina, Shelest, Ekaterina, Sherlock, Gavin, Sophianopoulou, Vicky, Squina, Fabio M., Sun, Hui, Susca, Antonia, Todd, Richard B., Tsang, Adrian, Unkles, Sheila E., van de Wiele, Nathalie, van Rossen-Uffink, Diana, Velasco de Castro Oliveria, Juliana, Vesth, Tammi C., Visser, Jaap, Yu, Jae-Hyuk, Zhou, Miamiao, Andersen, Mikael R., Archer, David B., Baker, Scott E., Benoit, Isabelle, Brakhage, Axel A., Braus, Gerhard H., Fischer, Reinhard, Frisvad, Jens C., Goldman, Gustavo H., Houbraken, Jos, Oakley, Berl, Pocsi, Istvan, Scazzocchio, Claudio, Seiboth, Bernhard, vanKuyk, Patricia A., Wortman, Jennifer, Dyer, Paul S., Grigoriev, Igor V., de Vries, Ronald, Riley, Robert, Wiebenga, Ad, Aguilar-Osorio, Guillermo, Amillis, Sotiris, Akemi Uchima, Cristiane, Anderluh, Gregor, Asadollahi, Mojtaba, Askin, Marion, Barry, Kerrie, Battaglia, Evy, Bayram, Ozgur, Benocci, Tiziano, Braus-Stromeyer, Susanna A., Caldana, Camila, Canovas, David, Cerqueira, Gustavo C., Chen, Fusheng, Chen, Wanping, Choi, Cindy, Clum, Alicia, Correa dos Santos, Renato Augusto, de Lima Damasio, Andre Ricardo, Diallinas, George, Emri, Tamas, Fekete, Erzsebet, Flipphi, Michel, Freyberg, Susanne, Gallo, Antonia, Gournas, Christos, Habgood, Rob, Hainaut, Matthieu, Harispe, Maria Laura, Henrissat, Bernard, Hilden, Kristiina S., Hope, Ryan, Hossain, Abeer, Karabika, Eugenia, Karaffa, Levente, Karanyi, Zsolt, Krasevec, Nada, Kuo, Alan, Kusch, Harald, LaButti, Kurt, Lagendijk, Ellen L., Lapidus, Alla, Levasseur, Anthony, Lindquist, Erika, Lipzen, Anna, Logrieco, Antonio F., MacCabe, Andrew, Makela, Miia R., Malavazi, Iran, Melin, Petter, Meyer, Vera, Mielnichuk, Natalia, Miskei, Marton, Molnar, Akos P., Mule, Giuseppina, Ngan, Chew Yee, Orejas, Margarita, Orosz, Erzsebet, Ouedraogo, Jean Paul, Overkamp, Karin M., Park, Hee-Soo, Perrone, Giancarlo, Piumi, Francois, Punt, Peter J., Ram, Arthur F.J., Ramon, Ana, Rauscher, Stefan, Record, Eric, Riano-Pachon, Diego Mauricio, Robert, Vincent, Rohrig, Julian, Ruller, Roberto, Salamov, Asaf, Salih, Nadhira S., Samson, Rob A., Sandor, Erzsebet, Sanguinetti, Manuel, Schutze, Tabea, Sepcic, Kristina, Shelest, Ekaterina, Sherlock, Gavin, Sophianopoulou, Vicky, Squina, Fabio M., Sun, Hui, Susca, Antonia, Todd, Richard B., Tsang, Adrian, Unkles, Sheila E., van de Wiele, Nathalie, van Rossen-Uffink, Diana, Velasco de Castro Oliveria, Juliana, Vesth, Tammi C., Visser, Jaap, Yu, Jae-Hyuk, Zhou, Miamiao, Andersen, Mikael R., Archer, David B., Baker, Scott E., Benoit, Isabelle, Brakhage, Axel A., Braus, Gerhard H., Fischer, Reinhard, Frisvad, Jens C., Goldman, Gustavo H., Houbraken, Jos, Oakley, Berl, Pocsi, Istvan, Scazzocchio, Claudio, Seiboth, Bernhard, vanKuyk, Patricia A., Wortman, Jennifer, Dyer, Paul S., and Grigoriev, Igor V.

Abstract

Background The fungal genus Aspergillus is of critical importance to humankind. Species include those with industrial applications, important pathogens of humans, animals and crops, a source of potent carcinogenic contaminants of food, and an important genetic model. The genome sequences of eight aspergilli have already been explored to investigate aspects of fungal biology, raising questions about evolution and specialization within this genus. Results We have generated genome sequences for ten novel, highly diverse Aspergillus species and compared these in detail to sister and more distant genera. Comparative studies of key aspects of fungal biology, including primary and secondary metabolism, stress response, biomass degradation, and signal transduction, revealed both conservation and diversity among the species. Observed genomic differences were validated with experimental studies. This revealed several highlights, such as the potential for sex in asexual species, organic acid production genes being a key feature of black aspergilli, alternative approaches for degrading plant biomass, and indications for the genetic basis of stress response. A genome-wide phylogenetic analysis demonstrated in detail the relationship of the newly genome sequenced species with other aspergilli. Conclusions Many aspects of biological differences between fungal species cannot be explained by current knowledge obtained from genome sequences. The comparative genomics and experimental study, presented here, allows for the first time a genus-wide view of the biological diversity of the aspergilli and in many, but not all, cases linked genome differences to phenotype. Insights gained could be exploited for biotechnological and medical applications of fungi.

Published
2017

45. Genetic diversity of 100+ Aspergillus species: The aspMine analysis resource

Author

Vesth, Tammi Camilla, Rasmussen, Jane Lind Nybo, Theobald, Sebastian, Kjærbølling, Inge, Frisvad, Jens Christian, Nielsen, Kristian Fog, Lyhne, Ellen Kirstine, Kogle, Martin Engelhard, Kuo, Alan, Riley, Robert, de Vries, Ronald P., Grigoriev, Igor V., Mortensen, Uffe Hasbro, Henrissat, Bernard, Baker, Scott E., Andersen, Mikael Rørdam, Vesth, Tammi Camilla, Rasmussen, Jane Lind Nybo, Theobald, Sebastian, Kjærbølling, Inge, Frisvad, Jens Christian, Nielsen, Kristian Fog, Lyhne, Ellen Kirstine, Kogle, Martin Engelhard, Kuo, Alan, Riley, Robert, de Vries, Ronald P., Grigoriev, Igor V., Mortensen, Uffe Hasbro, Henrissat, Bernard, Baker, Scott E., and Andersen, Mikael Rørdam

Published
2017

47. What drives speciation? Examination into the evolutionary events of more than 100 Aspergillus species

Author

Rasmussen, Jane Lind Nybo, Vesth, Tammi Camilla, Theobald, Sebastian, Kjærbølling, Inge, Frisvad, Jens Christian, Larsen, Thomas Ostenfeld, Riley, Robert, Salamov, A., Grigoriev, I. V., Baker, S. E., Andersen, Mikael Rørdam, Rasmussen, Jane Lind Nybo, Vesth, Tammi Camilla, Theobald, Sebastian, Kjærbølling, Inge, Frisvad, Jens Christian, Larsen, Thomas Ostenfeld, Riley, Robert, Salamov, A., Grigoriev, I. V., Baker, S. E., and Andersen, Mikael Rørdam

Published
2017

48. Identifying more than 300 Biosynthetic Gene Clusters with Potential Resistance Genes in over 75 Aspergillus species using Resistance Gene-Guided Genome Mining

Author

Kjærbølling, Inge, Vesth, Tammi Camilla, Frisvad, Jens Christian, Rasmussen, Jane Lind Nybo, Theobald, Sebastian, Grigoriev, Igor V., Salamov, Asaf, Larsen, Thomas Ostenfeld, Mortensen, Uffe Hasbro, Andersen, Mikael Rørdam, Kjærbølling, Inge, Vesth, Tammi Camilla, Frisvad, Jens Christian, Rasmussen, Jane Lind Nybo, Theobald, Sebastian, Grigoriev, Igor V., Salamov, Asaf, Larsen, Thomas Ostenfeld, Mortensen, Uffe Hasbro, and Andersen, Mikael Rørdam

Published
2017

49. Genus level analysis of secondary metabolism reveals the origin of Aspergillus hybrid NRPS-PKS gene clusters

Author

Theobald, Sebastian, Vesth, Tammi Camilla, Rasmussen, Jane Lind Nybo, Kjærbølling, Inge, Frisvad, Jens Christian, Nielsen, Kristian Fog, Larsen, Thomas Ostenfeld, Grigoriev, Igor V., Salamov, Asaf, Mortensen, Uffe Hasbro, Baker, Scott E., Andersen, Mikael Rørdam, Theobald, Sebastian, Vesth, Tammi Camilla, Rasmussen, Jane Lind Nybo, Kjærbølling, Inge, Frisvad, Jens Christian, Nielsen, Kristian Fog, Larsen, Thomas Ostenfeld, Grigoriev, Igor V., Salamov, Asaf, Mortensen, Uffe Hasbro, Baker, Scott E., and Andersen, Mikael Rørdam

Published
2017

50. Ortholog prediction of the Aspergillus genus applicable for synthetic biology

Author

Rasmussen, Jane Lind Nybo, Vesth, Tammi Camilla, Theobald, Sebastian, Frisvad, Jens Christian, Grigoriev, Igor V., Baker, Scott E., Andersen, Mikael Rørdam, Rasmussen, Jane Lind Nybo, Vesth, Tammi Camilla, Theobald, Sebastian, Frisvad, Jens Christian, Grigoriev, Igor V., Baker, Scott E., and Andersen, Mikael Rørdam

Abstract

The Aspergillus genus contains leading industrial microorganisms, excelling in producing bioactive compounds and enzymes. Using synthetic biology and bioinformatics, we aim to re-engineer these organisms for applications within human health, pharmaceuticals, environmental engineering, and food production. In this project, we compare the genomes of +300 species from the Aspergillus genus to generate a high-resolution pan-genomic map, representing genetic diversity spanning ~200 million years. We are identifying genes specific to species and clades to allow for guilt-by-association-based mapping of genotype-to-phenotype. To achieve this, we have developed orthologous protein prediction software that utilizes genus-wide genetic diversity. The approach is optimized for large data sets, based on BLASTp considering protein identity and alignment coverage, and clustering using single linkage of bi-directional hits. The result is orthologous protein families describing the genomic and functional features of individual species, clades and the core/pan genome of Aspergillus; and applicable to genotype-to-phenotype analyses in other microbial genera.

Published
2016

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