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      Natural Saccharomyces cerevisiae Strain Reveals Peculiar Genomic Traits for Starch-to-Bioethanol Production: the Design of an Amylolytic Consolidated Bioprocessing Yeast

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          Abstract

          Natural yeast with superior fermentative traits can serve as a platform for the development of recombinant strains that can be used to improve the sustainability of bioethanol production from starch. This process will benefit from a consolidated bioprocessing (CBP) approach where an engineered strain producing amylases directly converts starch into ethanol. The yeast Saccharomyces cerevisiae L20, previously selected as outperforming the benchmark yeast Ethanol Red, was here subjected to a comparative genomic investigation using a dataset of industrial S. cerevisiae strains. Along with Ethanol Red, strain L20 was then engineered for the expression of α-amylase amyA and glucoamylase glaA genes from Aspergillus tubingensis by employing two different approaches (delta integration and CRISPR/Cas9). A correlation between the number of integrated copies and the hydrolytic abilities of the recombinants was investigated. L20 demonstrated important traits for the construction of a proficient CBP yeast. Despite showing a close relatedness to commercial wine yeast and the benchmark Ethanol Red, a unique profile of gene copy number variations (CNVs) was found in L20, mainly encoding membrane transporters and secretion pathway proteins but also the fermentative metabolism. Moreover, the genome annotation disclosed seven open reading frames (ORFs) in L20 that are absent in the reference S288C genome. Genome engineering was successfully implemented for amylase production. However, with equal amylase gene copies, L20 proved its proficiency as a good enzyme secretor by exhibiting a markedly higher amylolytic activity than Ethanol Red, in compliance to the findings of the genomic exploration. The recombinant L20 dT8 exhibited the highest amylolytic activity and produced more than 4 g/L of ethanol from 2% starch in a CBP setting without the addition of supplementary enzymes. Based on the performance of this strain, an amylase/glucoamylase ratio of 1:2.5 was suggested as baseline for further improvement of the CBP ability. Overall, L20 showed important traits for the future construction of a proficient CBP yeast. As such, this work shows that natural S. cerevisiae strains can be used for the expression of foreign secreted enzymes, paving the way to strain improvement for the starch-to-bioethanol route.

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          IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

          Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.
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            ModelFinder: Fast Model Selection for Accurate Phylogenetic Estimates

            Model-based molecular phylogenetics plays an important role in comparisons of genomic data, and model selection is a key step in all such analyses. We present ModelFinder, a fast model-selection method that greatly improves the accuracy of phylogenetic estimates. The improvement is achieved by incorporating a model of rate-heterogeneity across sites not previously considered in this context, and by allowing concurrent searches of model-space and tree-space.
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              Cleavage of Structural Proteins during the Assembly of the Head of Bacteriophage T4

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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                20 January 2022
                2021
                : 12
                : 768562
                Affiliations
                [1] 1Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padua , Legnaro, Italy
                [2] 2Department of Biology, University of Padua , Padua, Italy
                [3] 3Department of Microbiology, Stellenbosch University , Stellenbosch, South Africa
                [4] 4Department of Molecular Microbiology, VIB, KU Leuven , Leuven, Belgium
                [5] 5NovelYeast Bv, Open Bio-Incubator, Erasmus High School , Jette, Belgium
                Author notes

                Edited by: Soo Rin Kim, Kyungpook National University, South Korea

                Reviewed by: Nuno Pereira Mira, University of Lisbon, Portugal; Takahiro Shintani, Tohoku University, Japan

                *Correspondence: Lorenzo Favaro, lorenzo.favaro@ 123456unipd.it

                These authors have contributed equally to this work and share last authorship

                This article was submitted to Microbial Physiology and Metabolism, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2021.768562
                8815085
                35126325
                c25175c9-368d-42f9-af7f-97b7fe45e9ae
                Copyright © 2022 Gronchi, De Bernardini, Cripwell, Treu, Campanaro, Basaglia, Foulquié-Moreno, Thevelein, Van Zyl, Favaro and Casella.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 31 August 2021
                : 17 December 2021
                Page count
                Figures: 6, Tables: 5, Equations: 0, References: 100, Pages: 19, Words: 13477
                Funding
                Funded by: Università degli Studi di Padova, doi 10.13039/501100003500;
                Award ID: DOR1824847/18
                Award ID: DOR1827441/18
                Award ID: DOR1931153/19
                Award ID: DOR1928058/19
                Award ID: DOR2087054/20
                Award ID: DOR2084579/20
                Award ID: DOR2027838/20
                Award ID: BIRD210708/21
                Funded by: National Research Foundation, doi 10.13039/501100001321;
                Award ID: 113134
                Award ID: ZA18MO04
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                saccharomyces cerevisiae,delta integration,crispr/cas9,starch,ethanol red,consolidated bioprocessing,amylases,bioethanol

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