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      Yeast diversity in open agave fermentations across Mexico

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          Abstract

          Yeasts are a diverse group of fungal microorganisms that are widely used to produce fermented foods and beverages. In Mexico, open fermentations are used to obtain spirits from agave plants. Despite the prevalence of this traditional practice throughout the country, yeasts have only been isolated and studied from a limited number of distilleries. To systematically describe the diversity of yeast species from open agave fermentations, here we generate the YMX‐1.0 culture collection by isolating 4524 strains from 68 sites with diverse climatic, geographical, and biological contexts. We used MALDI‐TOF mass spectrometry for taxonomic classification and validated a subset of the strains by ITS and D1/D2 sequencing, which also revealed two potential novel species of Saccharomycetales. Overall, the composition of yeast communities was weakly associated with local variables and types of climate, yet a core set of six species was consistently isolated from most producing regions. To explore the intraspecific variation of the yeasts from agave fermentations, we sequenced the genomes of four isolates of the nonconventional yeast Kazachstania humilis. The genomes of these four strains were substantially distinct from a European isolate of the same species, suggesting that they may belong to different populations. Our work contributes to the understanding and conservation of an open fermentation system of great cultural and economic importance, providing a valuable resource to study the biology and genetic diversity of microorganisms living at the interface of natural and human‐associated environments.

          Take‐away

          • We isolated and identified 4524 yeast strains from open agave fermentations in Mexico.

          • A core set of six yeast species was consistently found across diverse regions.

          • Kazachstania humilis genomes differed significantly from those of isolates in other regions of the world.

          • We report two candidate new species related to the Pichia clade.

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          Fitting Linear Mixed-Effects Models Usinglme4

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            RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

            Motivation: Phylogenies are increasingly used in all fields of medical and biological research. Moreover, because of the next-generation sequencing revolution, datasets used for conducting phylogenetic analyses grow at an unprecedented pace. RAxML (Randomized Axelerated Maximum Likelihood) is a popular program for phylogenetic analyses of large datasets under maximum likelihood. Since the last RAxML paper in 2006, it has been continuously maintained and extended to accommodate the increasingly growing input datasets and to serve the needs of the user community. Results: I present some of the most notable new features and extensions of RAxML, such as a substantial extension of substitution models and supported data types, the introduction of SSE3, AVX and AVX2 vector intrinsics, techniques for reducing the memory requirements of the code and a plethora of operations for conducting post-analyses on sets of trees. In addition, an up-to-date 50-page user manual covering all new RAxML options is available. Availability and implementation: The code is available under GNU GPL at https://github.com/stamatak/standard-RAxML. Contact: alexandros.stamatakis@h-its.org Supplementary information: Supplementary data are available at Bioinformatics online.
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              fastp: an ultra-fast all-in-one FASTQ preprocessor

              Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient. Results We developed fastp as an ultra-fast FASTQ preprocessor with useful quality control and data-filtering features. It can perform quality control, adapter trimming, quality filtering, per-read quality pruning and many other operations with a single scan of the FASTQ data. This tool is developed in C++ and has multi-threading support. Based on our evaluation, fastp is 2–5 times faster than other FASTQ preprocessing tools such as Trimmomatic or Cutadapt despite performing far more operations than similar tools. Availability and implementation The open-source code and corresponding instructions are available at https://github.com/OpenGene/fastp.
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                Author and article information

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                Journal
                Yeast
                Yeast
                Wiley
                0749-503X
                1097-0061
                January 2024
                December 06 2023
                January 2024
                : 41
                : 1-2
                : 35-51
                Affiliations
                [1 ] Unidad de Genómica Avanzada (Langebio) Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional Irapuato Mexico
                [2 ] Departamento de Ingeniería Genética, Unidad Irapuato Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional Irapuato Mexico
                [3 ] Laboratorio Internacional de Investigación sobre el Genoma Humano (LIIGH) Universidad Nacional Autónoma de México Juriquilla Mexico
                [4 ] Departamento de Ingeniería Química y Ambiental Universidad Nacional de Colombia Bogotá Colombia
                [5 ] Centro INAH Colima Instituto Nacional de Antropología e Historia Colima Mexico
                [6 ] Independent Researcher Jesús del Monte Morelia Mexico
                [7 ] Departamento de Ecología de la Biodiversidad, Instituto de Ecología, Unidad Hermosillo Universidad Nacional Autónoma de México Hermosillo Mexico
                [8 ] Centro de Biotecnología Genómica Instituto Politécnico Nacional Reynosa Mexico
                [9 ] Escuela Nacional de Estudios Superiores, Unidad León Universidad Nacional Autónoma de México León Mexico
                [10 ] Investigadores por México, Consejo Nacional de Humanidades Ciencias y Tecnologías Mexico City Mexico
                [11 ] Unidad de Biotecnología Industrial Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco A.C. (CIATEJ) Zapopan Jalisco Mexico
                Article
                10.1002/yea.3913
                38054508
                358264cd-4b22-4315-bcd1-8fdd0008ef3e
                © 2024

                http://creativecommons.org/licenses/by/4.0/

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