Improvement of Torulaspora Delbrueckii Genome Annotation: Towards the Exploitation of Genomic Features of a Biotechnologically Relevant Yeast
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Heat Resistance of Vegetative Cells and Asci of Two Zygosac- Charomyces Yeasts in Broths at Different Water Activity Values
835 Journal of Food Protection, Vol. 50, No. 10, Pages 835-841 (October 1987) Copyright1 International Association of Milk, Food and Environmental Sanitarians Heat Resistance of Vegetative Cells and Asci of Two Zygosac- charomyces Yeasts in Broths at Different Water Activity Values MARCO F. G. JERMINI1 and WILHELM SCHMIDT-LORENZ* Food Microbiology Laboratory, Department of Food Science, Swiss Federal Institute of Technology (ETH), CH-8092 Zurich, Switzerland Downloaded from http://meridian.allenpress.com/jfp/article-pdf/50/10/835/1651027/0362-028x-50_10_835.pdf by guest on 01 October 2021 (Received for publication February 2, 1987) ABSTRACT solutions of sucrose or in sucrose-glucose mixtures at re duced a (19). Since the influence of lyophilization on The heat resistance of vegetative cells and asci of two os- w motolerant yeasts (Zygosaccharomyces rouxii and Z. bailii) was heat resistance has not yet been investigated, great cau tion is needed in evaluating those results. investigated in two different broths of aw 0.963 and 0.858, re spectively. The highest heat resistance was observed with asci Corry (12) demonstrated that the heat resistance of of Z. bailii LMZ 108, showing a decimal reduction time CD- Saccharomyces rouxii at 65°C, pH 6.5 and aw 0.95 was value) at 60°C and aw 0.858 of 14.9 min. Asci of Z. rouxii at the highest levels in solutions of sucrose, less in sor v LMZ 100 were less heat resistant (D60=c- alue at aw 0.858 = 3.5 bitol and least in solutions of glucose, fructose and min). The heat resistance (D-values) of asci at aw 0.963 proved glycerol. -
Influence of Nutrient Supplementation on Torulaspora Delbrueckii Wine Fermentation Aroma
fermentation Article Influence of Nutrient Supplementation on Torulaspora Delbrueckii Wine Fermentation Aroma Debora Mecca 1, Santiago Benito 2,* , Beata Beisert 1, Silvia Brezina 1, Stefanie Fritsch 1, Heike Semmler 1 and Doris Rauhut 1 1 Department of Microbiology and Biochemistry, Hochschule Geisenheim University (HGU), Von-Lade-Straße 1, 65366 Geisenheim, Germany; [email protected] (D.M.); [email protected] (B.B.); [email protected] (S.B.); [email protected] (S.F.); [email protected] (H.S.); [email protected] (D.R.) 2 Department of Food Chemistry and Technology, Polytechnic University of Madrid, Ciudad Universitaria S/N, 28040 Madrid, Spain * Correspondence: [email protected]; Tel.: +34-913363710 or +34-913363984 Received: 15 February 2020; Accepted: 19 March 2020; Published: 22 March 2020 Abstract: This study was performed with the aim of characterizing the fermentative performance of three commercial strains of Torulaspora delbrueckii and their impact on the production of volatile and non-volatile compounds. Laboratory-scale single culture fermentations were performed using a commercial white grape juice. The addition of commercial nutrient products enabled us to test the yeasts under two different nutrient conditions. The addition of nutrients promoted fermentation intensity from 9% to 20 % with significant differences (p < 0.05) among the strains tested. The strain diversity together with the nutrient availability influenced the production of volatile compounds. Keywords: Torulaspora delbrueckii; volatile compounds; nutrients 1. Introduction In the last few decades, several researchers have focused on characterizing the oenological potential of non-Saccharomyces yeasts [1–3]. Non-Saccharomyces species can contribute substantially to the quality of wines. -
Comparative Analysis of Multiple Sequence Alignment Tools
I.J. Information Technology and Computer Science, 2018, 8, 24-30 Published Online August 2018 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijitcs.2018.08.04 Comparative Analysis of Multiple Sequence Alignment Tools Eman M. Mohamed Faculty of Computers and Information, Menoufia University, Egypt E-mail: [email protected]. Hamdy M. Mousa, Arabi E. keshk Faculty of Computers and Information, Menoufia University, Egypt E-mail: [email protected], [email protected]. Received: 24 April 2018; Accepted: 07 July 2018; Published: 08 August 2018 Abstract—The perfect alignment between three or more global alignment algorithm built-in dynamic sequences of Protein, RNA or DNA is a very difficult programming technique [1]. This algorithm maximizes task in bioinformatics. There are many techniques for the number of amino acid matches and minimizes the alignment multiple sequences. Many techniques number of required gaps to finds globally optimal maximize speed and do not concern with the accuracy of alignment. Local alignments are more useful for aligning the resulting alignment. Likewise, many techniques sub-regions of the sequences, whereas local alignment maximize accuracy and do not concern with the speed. maximizes sub-regions similarity alignment. One of the Reducing memory and execution time requirements and most known of Local alignment is Smith-Waterman increasing the accuracy of multiple sequence alignment algorithm [2]. on large-scale datasets are the vital goal of any technique. The paper introduces the comparative analysis of the Table 1. Pairwise vs. multiple sequence alignment most well-known programs (CLUSTAL-OMEGA, PSA MSA MAFFT, BROBCONS, KALIGN, RETALIGN, and Compare two biological Compare more than two MUSCLE). -
Discordant Evolution of Mitochondrial and Nuclear Yeast Genomes at Population Level
bioRxiv preprint doi: https://doi.org/10.1101/855858; this version posted November 27, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. ARTICLE Discordant evolution of mitochondrial and nuclear yeast genomes at population level Matteo De Chiara1, Anne Friedrich2, Benjamin Barré1, Michael Breitenbach3, Joseph Schacherer2,* and Gianni Liti1,* 1Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France 2Université de Strasbourg, CNRS, GMGM UMR 7156, F-67000 Strasbourg, France 3Universität Salzburg, Fachbereich Biowissenschaften, Salzburg, Austria *Correspondence should be addressed to GL ([email protected]) or JS ([email protected]) Abstract Mitochondria are essential organelles partially regulated by their own genomes. The mitochondrial genome maintenance and inheritance differ from nuclear genome, potentially uncoupling their evolutionary trajectories. Here, we analysed mitochondrial sequences obtained from the 1,011 Saccharomyces cerevisiae strain collection and identified pronounced differences with their nuclear genome counterparts. In contrast with most fungal species, S. cerevisiae mitochondrial genomes show higher genetic diversity compared to the nuclear genomes. Strikingly, mitochondrial genomes appear to be highly admixed, resulting in a complex interconnected phylogeny with weak grouping of isolates, whereas interspecies introgressions are very rare. Complete genome assemblies revealed that structural rearrangements are nearly absent with rare inversions detected. We tracked introns variation in COX1 and COB to infer gain and loss events throughout the species evolutionary history. Mitochondrial genome copy number is connected with the nuclear genome and linearly scale up with ploidy. We observed rare cases of naturally occurring mitochondrial DNA loss, petite, with a subset of them that do not suffer fitness growth defects. -
Saccharomyces Paradoxus Transcriptional Alterations in Cells of Distinct Phenotype and Viral Dsrna Content
microorganisms Article Saccharomyces paradoxus Transcriptional Alterations in Cells of Distinct Phenotype and Viral dsRNA Content Bazile˙ Ravoityte˙ 1,*, Juliana Lukša 1, Vyacheslav Yurchenko 2,3 , Saulius Serva 4,5 and Elena Serviene˙ 1,5,* 1 Laboratory of Genetics, Institute of Botany, Nature Research Centre, Akademijos str. 2, 08412 Vilnius, Lithuania; [email protected] 2 Life Science Research Centre, Faculty of Science, University of Ostrava, Chittussiho 10, 710 00 Ostrava, Czech Republic; [email protected] 3 Martsinovsky Institute of Medical Parasitology, Tropical and Vector Borne Diseases, Sechenov University, Malaya Pirogovskaya str. 20, 119435 Moscow, Russia 4 Department of Biochemistry and Molecular Biology, Institute of Biosciences, Vilnius University, Sauletekio˙ al. 7, 10257 Vilnius, Lithuania; [email protected] 5 Department of Chemistry and Bioengineering, Vilnius Gediminas Technical University, Sauletekio˙ al. 11, 10223 Vilnius, Lithuania * Correspondence: [email protected] (B.R.); [email protected] (E.S.) Received: 18 November 2020; Accepted: 29 November 2020; Published: 30 November 2020 Abstract: Killer yeasts are attractive antifungal agents with great potential applications in the food industry. Natural Saccharomyces paradoxus isolates provide new dsRNA-based killer systems available for investigation. The presence of viral dsRNA may alter transcriptional profile of S. paradoxus. To test this possibility, a high-throughput RNA sequencing was employed to compare the transcriptomes of S. paradoxus AML 15-66 K66 killer strains after curing them of either M-66 alone or both M-66 and L-A-66 dsRNA viruses. The S. paradoxus cells cured of viral dsRNA(s) showed respiration deficient or altered sporulation patterns. We have identified numerous changes in the transcription profile of genes including those linked to ribosomes and amino acid biosynthesis, as well as mitochondrial function. -
Interspecific Hybrids Reveal Increased Fermentation
fermentation Article Saccharomyces arboricola and Its Hybrids’ Propensity for Sake Production: Interspecific Hybrids Reveal Increased Fermentation Abilities and a Mosaic Metabolic Profile Matthew J. Winans 1,2,* , Yuki Yamamoto 1, Yuki Fujimaru 1, Yuki Kusaba 1, Jennifer E. G. Gallagher 2 and Hiroshi Kitagaki 1 1 Graduate School of Advanced Health Sciences, Saga University, 1, Honjo, Saga city, Saga 840-8502, Japan; [email protected] (Y.Y.); [email protected] (Y.F.); [email protected] (Y.K.); [email protected] (H.K.) 2 Biology Department, West Virginia University, 53 Campus Drive, Morgantown, WV 26506-6057, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-(304)-483-1786; Fax: +1-(304)-293-6363 Received: 4 December 2019; Accepted: 17 January 2020; Published: 20 January 2020 Abstract: The use of interspecific hybrids during the industrial fermentation process has been well established, positioning the frontier of advancement in brewing to capitalize on the potential of Saccharomyces hybridization. Interspecific yeast hybrids used in modern monoculture inoculations benefit from a wide range of volatile metabolites that broaden the organoleptic complexity. This is the first report of sake brewing by Saccharomyces arboricola and its hybrids. S. arboricola x S. cerevisiae direct-mating generated cryotolerant interspecific hybrids which increased yields of ethanol and ethyl hexanoate compared to parental strains, important flavor attributes of fine Japanese ginjo sake rice wine. Hierarchical clustering heatmapping with principal component analysis for metabolic profiling was used in finding low levels of endogenous amino/organic acids clustered S. arboricola apart from the S. -
Phylogenetic Circumscription of Saccharomyces, Kluyveromyces
FEMS Yeast Research 4 (2003) 233^245 www.fems-microbiology.org Phylogenetic circumscription of Saccharomyces, Kluyveromyces and other members of the Saccharomycetaceae, and the proposal of the new genera Lachancea, Nakaseomyces, Naumovia, Vanderwaltozyma and Zygotorulaspora Cletus P. Kurtzman à Microbial Genomics and Bioprocessing Research Unit, National Center for Agricultural Utilization Research, Agricultural Research Service, U.S. Department of Agriculture, 1815 N. University Street, Peoria, IL 61604, USA Received 22 April 2003; received in revised form 23 June 2003; accepted 25 June 2003 First published online Abstract Genera currently assigned to the Saccharomycetaceae have been defined from phenotype, but this classification does not fully correspond with species groupings determined from phylogenetic analysis of gene sequences. The multigene sequence analysis of Kurtzman and Robnett [FEMS Yeast Res. 3 (2003) 417^432] resolved the family Saccharomycetaceae into 11 well-supported clades. In the present study, the taxonomy of the Saccharomyctaceae is evaluated from the perspective of the multigene sequence analysis, which has resulted in reassignment of some species among currently accepted genera, and the proposal of the following five new genera: Lachancea, Nakaseomyces, Naumovia, Vanderwaltozyma and Zygotorulaspora. ß 2003 Federation of European Microbiological Societies. Published by Elsevier B.V. All rights reserved. Keywords: Saccharomyces; Kluyveromyces; New ascosporic yeast genera; Molecular systematics; Multigene phylogeny 1. Introduction support the maintenance of three distinct genera. Yarrow [8^10] revived the concept of three genera and separated The name Saccharomyces was proposed for bread and Torulaspora and Zygosaccharomyces from Saccharomyces, beer yeasts by Meyen in 1838 [1], but it was Reess in 1870 although species assignments were often di⁄cult. -
A Novel Bacteria-Free Method for Sour Beer Production 1 Kara Osburna
bioRxiv preprint doi: https://doi.org/10.1101/121103; this version posted March 27, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Primary souring: a novel bacteria-free method for sour beer production 2 Kara Osburna, Justin Amaralb, Sara R. Metcalfa, David M. Nickensa, Cody M. Rogersa, 3 Christopher Sausena, Robert Caputoc, Justin Millerc, Hongde Lid, Jason M. Tennessend, and 4 Matthew L. Bochmana,c* 5 aMolecular and Cellular Biochemistry Department, 212 South Hawthorne Drive, Simon Hall 6 MSB1, room 405B, Indiana University, Bloomington, IN 47405, USA. 7 [email protected] 8 [email protected] 9 [email protected] 10 [email protected] 11 [email protected] 12 [email protected] 13 14 bMainiacal Brewing Company, Bangor, ME 04401, USA. 15 [email protected] 16 17 cWild Pitch Yeast, Bloomington, IN 47405, USA. 18 [email protected] 19 [email protected] 20 21 dDepartment of Biology, Indiana University, 1001 East Third Street, Bloomington, IN 47405, 22 USA. 23 [email protected] 24 [email protected] 25 26 *Corresponding author: 27 Matthew L. Bochman, Ph.D. 28 Assistant Professor 29 Molecular and Cellular Biochemistry Department 30 212 South Hawthorne Drive 31 Simon Hall MSB1, room 405B 32 Indiana University 33 [email protected] 34 812-856-2095 1 bioRxiv preprint doi: https://doi.org/10.1101/121103; this version posted March 27, 2017. -
"Phylogenetic Analysis of Protein Sequence Data Using The
Phylogenetic Analysis of Protein Sequence UNIT 19.11 Data Using the Randomized Axelerated Maximum Likelihood (RAXML) Program Antonis Rokas1 1Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee ABSTRACT Phylogenetic analysis is the study of evolutionary relationships among molecules, phenotypes, and organisms. In the context of protein sequence data, phylogenetic analysis is one of the cornerstones of comparative sequence analysis and has many applications in the study of protein evolution and function. This unit provides a brief review of the principles of phylogenetic analysis and describes several different standard phylogenetic analyses of protein sequence data using the RAXML (Randomized Axelerated Maximum Likelihood) Program. Curr. Protoc. Mol. Biol. 96:19.11.1-19.11.14. C 2011 by John Wiley & Sons, Inc. Keywords: molecular evolution r bootstrap r multiple sequence alignment r amino acid substitution matrix r evolutionary relationship r systematics INTRODUCTION the baboon-colobus monkey lineage almost Phylogenetic analysis is a standard and es- 25 million years ago, whereas baboons and sential tool in any molecular biologist’s bioin- colobus monkeys diverged less than 15 mil- formatics toolkit that, in the context of pro- lion years ago (Sterner et al., 2006). Clearly, tein sequence analysis, enables us to study degree of sequence similarity does not equate the evolutionary history and change of pro- with degree of evolutionary relationship. teins and their function. Such analysis is es- A typical phylogenetic analysis of protein sential to understanding major evolutionary sequence data involves five distinct steps: (a) questions, such as the origins and history of data collection, (b) inference of homology, (c) macromolecules, developmental mechanisms, sequence alignment, (d) alignment trimming, phenotypes, and life itself. -
Adaptive Evolution of Non-Saccharomyces Yeasts to Produce Wines with Low Ethanol Content Catarina Rocha
Adaptive Evolution of Non-Saccharomyces Yeasts to Produce Wines with Low Ethanol Content Catarina Rocha Abstract This work describes the implementation of adaptive evolution, a non-genetic engineering approach, applied to non- Saccharomyces yeasts to originate variants that produce reduced levels of ethanol, during alcoholic fermentation of grape must. Sub-lethal concentrations of potassium chloride and furfural were used as evolutive pressures. Both KCl and furfural impose stresses that affect the cell stability compromising the redox balance. The natural response of cell to regenerate NAD+ is increasing the production of glycerol. The original populations of two non-Saccharomyces strains, Metschnikowia pulcherrima 134|MET and Lachancea thermotolerans 483|LCH were subjected to adaptive evolution. In parallel, Saccharomyces cerevisiae 771|SAC strain was also put under adaptive evolution as a comparative evolutive line. At each 50 generations, the evolved populations were analyzed for ethanol and glycerol production and glucose and fructose consumption by enzymatic assays. The evolved populations under adaptive evolution did not show relevant differences regarding to the production of ethanol or glycerol, when compared with their originals. Additionally, ethyl methanesulfonate (EMS) was used as a mutagen to create a population of mutagenized cells. To assess the metabolome of yeasts, by identifying the metabolites present inside the cells and the ones exported to the environment, Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FTICR-MS) was applied along growth. In future, new adaptive evolution lines will be started with the EMS mutagenized cells and FTICR-MS Spectrometry will be used to compare the original yeast populations with the prospective evolved ones. Keywords: Non-Saccharomyces yeasts; Wine; Adaptive Evolution; Mutagenesis; Mass Spectrometry. -
Transcriptional Profiling of Zygosaccharomyces Bailii Early
www.nature.com/scientificreports OPEN Transcriptional profling of Zygosaccharomyces bailii early response to acetic acid or copper Received: 10 May 2018 Accepted: 31 August 2018 stress mediated by ZbHaa1 Published: xx xx xxxx Miguel Antunes, Margarida Palma & Isabel Sá-Correia The non-conventional yeast species Zygosaccharomyces bailii is remarkably tolerant to acetic acid, a highly important microbial inhibitory compound in Food Industry and Biotechnology. ZbHaa1 is the functional homologue of S. cerevisiae Haa1 and a bifunctional transcription factor able to modulate Z. bailii adaptive response to acetic acid and copper stress. In this study, RNA-Seq was used to investigate genomic transcription changes in Z. bailii during early response to sublethal concentrations of acetic acid (140mM, pH 4.0) or copper (0.08 mM) and uncover the regulatory network activated by these stresses under ZbHaa1 control. Diferentially expressed genes in response to acetic acid exposure (297) are mainly related with the tricarboxylic acid cycle, protein folding and stabilization and modulation of plasma membrane composition and cell wall architecture, 17 of which, directly or indirectly, ZbHaa1-dependent. Copper stress induced the diferential expression of 190 genes mainly involved in the response to oxidative stress, 15 ZbHaa1- dependent. This study provides valuable mechanistic insights regarding Z. bailii adaptation to acetic acid or copper stress, as well as useful information on transcription regulatory networks in pre-whole genome duplication (WGD) (Z. bailii) and post-WGD (S. cerevisiae) yeast species, contributing to the understanding of transcriptional networks’ evolution in yeasts. Zygosaccharomyces bailii is described as the most problematic food spoilage yeast due to its remarkable high tolerance to weak acids, namely acetic acid1. -
Performance Evaluation of Leading Protein Multiple Sequence Alignment Methods
International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-9 Issue-1, October 2019 Performance Evaluation of Leading Protein Multiple Sequence Alignment Methods Arunima Mishra, B. K. Tripathi, S. S. Soam MSA is a well-known method of alignment of three or more Abstract: Protein Multiple sequence alignment (MSA) is a biological sequences. Multiple sequence alignment is a very process, that helps in alignment of more than two protein intricate problem, therefore, computation of exact MSA is sequences to establish an evolutionary relationship between the only feasible for the very small number of sequences which is sequences. As part of Protein MSA, the biological sequences are not practical in real situations. Dynamic programming as used aligned in a way to identify maximum similarities. Over time the sequencing technologies are becoming more sophisticated and in pairwise sequence method is impractical for a large number hence the volume of biological data generated is increasing at an of sequences while performing MSA and therefore the enormous rate. This increase in volume of data poses a challenge heuristic algorithms with approximate approaches [7] have to the existing methods used to perform effective MSA as with the been proved more successful. Generally, various biological increase in data volume the computational complexities also sequences are organized into a two-dimensional array such increases and the speed to process decreases. The accuracy of that the residues in each column are homologous or having the MSA is another factor critically important as many bioinformatics same functionality. Many MSA methods were developed over inferences are dependent on the output of MSA.