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Ito K, Hanya Y, Koyama Y. Purification and characterization of a glutaminase enzyme accounting for the majority of glutaminase activity in Aspergillus sojae under solid-state culture. Appl Microbiol Biotechnol 2013; 97:8581-90. [PMID: 23339014 DOI: 10.1007/s00253-013-4693-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2012] [Revised: 12/27/2012] [Accepted: 12/30/2012] [Indexed: 12/01/2022]
Abstract
Glutaminase, an enzyme that hydrolyzes L-glutamine to L-glutamate, plays an important role in the production of fermented foods by enhancing the umami taste. In this study, we found ten glutaminase genes in the Aspergillus sojae genome by conducting a BLAST search of the characterized glutaminase sequence. We subsequently constructed glutaminase gene disruptants. The glutaminase activity of the gahB disruptant was decreased by approximately 90 % in A. sojae and Aspergillus oryzae, indicating that this enzyme (GahB) accounted for the majority of the glutaminase activity in Aspergillus species. Subsequently, GahB protein was purified from the AsgahB-overexpressing transformant and characterized. The molecular mass was estimated to be approximately 110 and 259 kDa by SDS-PAGE and gel filtration chromatography, respectively, indicating that the native form of AsGahB was a dimer. The optimal pH was 9.0, and the optimal temperature was 50 °C. Analysis of substrate specificity revealed that AsGahB had peptidoglutaminase-asparaginase activity, similar to AsGahA, but preferred free L-glutamine to free L-asparagine, C-terminal glutaminyl, and asparaginyl residues in peptides.
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Affiliation(s)
- Kotaro Ito
- Noda Institute for Scientific Research, 399 Noda, Noda, Chiba, 278-0037, Japan,
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Chen W, Xie T, Shao Y, Chen F. Phylogenomic relationships between amylolytic enzymes from 85 strains of fungi. PLoS One 2012; 7:e49679. [PMID: 23166747 PMCID: PMC3499471 DOI: 10.1371/journal.pone.0049679] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2012] [Accepted: 10/12/2012] [Indexed: 01/09/2023] Open
Abstract
Fungal amylolytic enzymes, including α-amylase, gluocoamylase and α-glucosidase, have been extensively exploited in diverse industrial applications such as high fructose syrup production, paper making, food processing and ethanol production. In this paper, amylolytic genes of 85 strains of fungi from the phyla Ascomycota, Basidiomycota, Chytridiomycota and Zygomycota were annotated on the genomic scale according to the classification of glycoside hydrolase (GH) from the Carbohydrate-Active enZymes (CAZy) Database. Comparisons of gene abundance in the fungi suggested that the repertoire of amylolytic genes adapted to their respective lifestyles. Amylolytic enzymes in family GH13 were divided into four distinct clades identified as heterologous α- amylases, eukaryotic α-amylases, bacterial and fungal α-amylases and GH13 α-glucosidases. Family GH15 had two branches, one for gluocoamylases, and the other with currently unknown function. GH31 α-glucosidases showed diverse branches consisting of neutral α-glucosidases, lysosomal acid α-glucosidases and a new clade phylogenetically related to the bacterial counterparts. Distribution of starch-binding domains in above fungal amylolytic enzymes was related to the enzyme source and phylogeny. Finally, likely scenarios for the evolution of amylolytic enzymes in fungi based on phylogenetic analyses were proposed. Our results provide new insights into evolutionary relationships among subgroups of fungal amylolytic enzymes and fungal evolutionary adaptation to ecological conditions.
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Affiliation(s)
- Wanping Chen
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
| | - Ting Xie
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
| | - Yanchun Shao
- Key Laboratory of Environment Correlative Dietology (Ministry of Education), Huazhong Agricultural University, Wuhan, Hubei Province, China
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
| | - Fusheng Chen
- National Key Laboratory of Agro-Microbiology, Huazhong Agricultural University, Wuhan, Hubei Province, China
- Key Laboratory of Environment Correlative Dietology (Ministry of Education), Huazhong Agricultural University, Wuhan, Hubei Province, China
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei Province, China
- * E-mail:
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Gibbons JG, Rokas A. The function and evolution of the Aspergillus genome. Trends Microbiol 2012; 21:14-22. [PMID: 23084572 DOI: 10.1016/j.tim.2012.09.005] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2012] [Revised: 09/20/2012] [Accepted: 09/24/2012] [Indexed: 10/27/2022]
Abstract
Species in the filamentous fungal genus Aspergillus display a wide diversity of lifestyles and are of great importance to humans. The decoding of genome sequences from a dozen species that vary widely in their degree of evolutionary affinity has galvanized studies of the function and evolution of the Aspergillus genome in clinical, industrial, and agricultural environments. Here, we synthesize recent key findings that shed light on the architecture of the Aspergillus genome, on the molecular foundations of the genus' astounding dexterity and diversity in secondary metabolism, and on the genetic underpinnings of virulence in Aspergillus fumigatus, one of the most lethal fungal pathogens. Many of these insights dramatically expand our knowledge of fungal and microbial eukaryote genome evolution and function and argue that Aspergillus constitutes a superb model clade for the study of functional and comparative genomics.
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Affiliation(s)
- John G Gibbons
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
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Leroy P, Guilhot N, Sakai H, Bernard A, Choulet F, Theil S, Reboux S, Amano N, Flutre T, Pelegrin C, Ohyanagi H, Seidel M, Giacomoni F, Reichstadt M, Alaux M, Gicquello E, Legeai F, Cerutti L, Numa H, Tanaka T, Mayer K, Itoh T, Quesneville H, Feuillet C. TriAnnot: A Versatile and High Performance Pipeline for the Automated Annotation of Plant Genomes. FRONTIERS IN PLANT SCIENCE 2012; 3:5. [PMID: 22645565 PMCID: PMC3355818 DOI: 10.3389/fpls.2012.00005] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2011] [Accepted: 01/04/2012] [Indexed: 05/20/2023]
Abstract
In support of the international effort to obtain a reference sequence of the bread wheat genome and to provide plant communities dealing with large and complex genomes with a versatile, easy-to-use online automated tool for annotation, we have developed the TriAnnot pipeline. Its modular architecture allows for the annotation and masking of transposable elements, the structural, and functional annotation of protein-coding genes with an evidence-based quality indexing, and the identification of conserved non-coding sequences and molecular markers. The TriAnnot pipeline is parallelized on a 712 CPU computing cluster that can run a 1-Gb sequence annotation in less than 5 days. It is accessible through a web interface for small scale analyses or through a server for large scale annotations. The performance of TriAnnot was evaluated in terms of sensitivity, specificity, and general fitness using curated reference sequence sets from rice and wheat. In less than 8 h, TriAnnot was able to predict more than 83% of the 3,748 CDS from rice chromosome 1 with a fitness of 67.4%. On a set of 12 reference Mb-sized contigs from wheat chromosome 3B, TriAnnot predicted and annotated 93.3% of the genes among which 54% were perfectly identified in accordance with the reference annotation. It also allowed the curation of 12 genes based on new biological evidences, increasing the percentage of perfect gene prediction to 63%. TriAnnot systematically showed a higher fitness than other annotation pipelines that are not improved for wheat. As it is easily adaptable to the annotation of other plant genomes, TriAnnot should become a useful resource for the annotation of large and complex genomes in the future.
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Affiliation(s)
- Philippe Leroy
- UMR 1095, Genetics, Diversity and Ecophysiology of Cereals, Institut National de la Recherche Agronomique-Université Blaise PascalClermont-Ferrand, France
- *Correspondence: Philippe Leroy and Catherine Feuillet, UMR 1095, Genetics, Diversity and Ecophysiology of Cereals, Institut National de la Recherche Agronomique-Université Blaise Pascal, 234 Avenue du Brézet, Domaine de Crouel, F-63000 Clermont-Ferrand, France. e-mail: ;
| | - Nicolas Guilhot
- UMR 1095, Genetics, Diversity and Ecophysiology of Cereals, Institut National de la Recherche Agronomique-Université Blaise PascalClermont-Ferrand, France
| | - Hiroaki Sakai
- National Institute of Agrobiological SciencesTsukuba, Ibaraki, Japan
| | - Aurélien Bernard
- UMR 1095, Genetics, Diversity and Ecophysiology of Cereals, Institut National de la Recherche Agronomique-Université Blaise PascalClermont-Ferrand, France
- ISEM UMR5554, Institut des Sciences de l’Evolution de MontpellierMontpellier, France
| | - Frédéric Choulet
- UMR 1095, Genetics, Diversity and Ecophysiology of Cereals, Institut National de la Recherche Agronomique-Université Blaise PascalClermont-Ferrand, France
| | - Sébastien Theil
- UMR 1095, Genetics, Diversity and Ecophysiology of Cereals, Institut National de la Recherche Agronomique-Université Blaise PascalClermont-Ferrand, France
| | - Sébastien Reboux
- UR 1164, Unité de Recherche en Génomique Informatique, Institut National de la Recherche AgronomiqueVersailles, France
| | - Naoki Amano
- National Institute of Agrobiological SciencesTsukuba, Ibaraki, Japan
- Center for iPS Cell Research and Application, Kyoto UniversitySakyo-ku Kyoto, Japan
| | - Timothée Flutre
- UR 1164, Unité de Recherche en Génomique Informatique, Institut National de la Recherche AgronomiqueVersailles, France
| | - Céline Pelegrin
- UMR 1095, Genetics, Diversity and Ecophysiology of Cereals, Institut National de la Recherche Agronomique-Université Blaise PascalClermont-Ferrand, France
| | - Hajime Ohyanagi
- Tsukuba Division, Mitsubishi Space Software Co., Ltd. Tsukuba, Ibaraki, Japan
- Plant Genetics Laboratory, National Institute of GeneticsMishima, Shizuoka, Japan
| | - Michael Seidel
- Institute of Bioinformatics and System Biology/MIPS, Helmholtz Center MunichNeuherberg, Germany
| | - Franck Giacomoni
- UMR1019, Unité de Recherche en Nutrition Humaine, Institut National de la Recherche AgronomiqueSaint-Genès-Champanelle, France
| | - Mathieu Reichstadt
- UR1213, Unité de Recherche sur les Herbivores, Institut National de la Recherche AgronomiqueSaint-Genès-Champanelle, France
| | - Michael Alaux
- UR 1164, Unité de Recherche en Génomique Informatique, Institut National de la Recherche AgronomiqueVersailles, France
| | - Emmanuelle Gicquello
- UMR 1095, Genetics, Diversity and Ecophysiology of Cereals, Institut National de la Recherche Agronomique-Université Blaise PascalClermont-Ferrand, France
| | - Fabrice Legeai
- UMR 1099, Biologie des Organismes et des Populations appliquée à la Protection des Plantes, Institut National de la Recherche AgronomiqueLe Rheu, France
| | | | - Hisataka Numa
- National Institute of Agrobiological SciencesTsukuba, Ibaraki, Japan
| | - Tsuyoshi Tanaka
- National Institute of Agrobiological SciencesTsukuba, Ibaraki, Japan
| | - Klaus Mayer
- Institute of Bioinformatics and System Biology/MIPS, Helmholtz Center MunichNeuherberg, Germany
| | - Takeshi Itoh
- National Institute of Agrobiological SciencesTsukuba, Ibaraki, Japan
| | - Hadi Quesneville
- UR 1164, Unité de Recherche en Génomique Informatique, Institut National de la Recherche AgronomiqueVersailles, France
| | - Catherine Feuillet
- UMR 1095, Genetics, Diversity and Ecophysiology of Cereals, Institut National de la Recherche Agronomique-Université Blaise PascalClermont-Ferrand, France
- *Correspondence: Philippe Leroy and Catherine Feuillet, UMR 1095, Genetics, Diversity and Ecophysiology of Cereals, Institut National de la Recherche Agronomique-Université Blaise Pascal, 234 Avenue du Brézet, Domaine de Crouel, F-63000 Clermont-Ferrand, France. e-mail: ;
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