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      Sketched reference databases for genome-based taxonomy and comparative genomics Translated title: Bases de dados de referência esboçados para taxonomia baseada em genoma e genômica comparativa

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          Abstract

          Abstract The analysis of curated genomic, metagenomic and proteomic data is of paramount importance in the fields of biology, medicine, education, and bioinformatics. Although this type of data is usually hosted in raw format on free international repositories, the full access requires lots of computing power and large storage disk space for the domestic user. The purpose of the study is to offer a comprehensive set of microbial genomic and proteomic reference databases in an accessible and easy-to-use form to the scientific community and demonstrate its advantages and usefulness. Also, we present a case study on the applicability of the sketched data, for the determination of overall genomic coherence between two members of the Brucellacea family, which suggests they belong to the same genomospecies that remain as discrete ecotypes. A representative set of genomes, proteomes (from type material), and metagenomes were directly collected from the NCBI Assembly database and Genome Taxonomy Database (GTDB), associated with the major groups of Bacteria, Archaea, Virus, and Fungi. Sketched databases were subsequently created and stored on handy reduced representations by using the MinHash algorithm implemented in Mash software. The obtained dataset contains more than 133 GB of space disk reduced to 883.25 MB and represents 125,110 genomics/proteomic records from eight informative contexts, which have been prefiltered to make them accessible, usable, and user-friendly with limited computational resources. Potential uses of these sketched databases are discussed, including but not limited to microbial species delimitation, estimation of genomic distances and genomic novelties, paired comparisons between proteomes, genomes, and metagenomes; phylogenetic neighbor’s exploration and selection, among others.

          Translated abstract

          Resumo A análise de dados genômicos, metagenômicos e proteômicos com curadoria é de suma importância nos campos da biologia, medicina, educação e bioinformática. Embora esse tipo de dados geralmente seja hospedado em formato bruto em repositórios internacionais gratuitos, o acesso total requer muita capacidade de computação e grande espaço em disco de armazenamento para o usuário doméstico. Os objetivos do estudo são oferecer um conjunto abrangente de bancos de dados de referência genômica e proteômica microbiana de forma acessível e fácil de usar para a comunidade científica e demonstrar suas vantagens e utilidade. Além disso, apresentamos um estudo de caso sobre a aplicabilidade dos dados esboçados para a determinação da coerência genômica geral entre dois membros da família Brucellacea, o que sugere que eles pertencem às mesmas genomoespécies que permanecem como ecótipos discretos. Um conjunto representativo de genomas, proteomas (de material tipo) e metagenomas foi coletado diretamente do banco de dados NCBI Assembly e do banco de dados de taxonomia do genoma (GTDB), associada aos principais grupos de bactérias, Archaea, vírus e fungos. Bancos de dados esboçados foram subsequentemente criados e armazenados em representações reduzidas práticas usando o algoritmo MinHash implementado no software Mash. O conjunto de dados obtido contém mais de 133 GB de espaço em disco reduzido para 883,25 MB e representa 125,110 registros genômicos/proteômicos de oito contextos informativos, que foram pré-filtrados para torná-los acessíveis, utilizáveis e amigáveis com recursos computacionais limitados. Os usos potenciais desses bancos de dados esboçados são discutidos, incluindo, mas não se limitando, a delimitação de espécies microbianas, estimativa de distâncias genômicas e novidades genômicas, comparações emparelhadas entre proteomas, genomas e metagenomas, exploração e seleção filogenética de vizinhos, entre outros.

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          Introducing EzBioCloud: a taxonomically united database of 16S rRNA gene sequences and whole-genome assemblies

          The recent advent of DNA sequencing technologies facilitates the use of genome sequencing data that provide means for more informative and precise classification and identification of members of the Bacteria and Archaea. Because the current species definition is based on the comparison of genome sequences between type and other strains in a given species, building a genome database with correct taxonomic information is of paramount need to enhance our efforts in exploring prokaryotic diversity and discovering novel species as well as for routine identifications. Here we introduce an integrated database, called EzBioCloud, that holds the taxonomic hierarchy of the Bacteria and Archaea, which is represented by quality-controlled 16S rRNA gene and genome sequences. Whole-genome assemblies in the NCBI Assembly Database were screened for low quality and subjected to a composite identification bioinformatics pipeline that employs gene-based searches followed by the calculation of average nucleotide identity. As a result, the database is made of 61 700 species/phylotypes, including 13 132 with validly published names, and 62 362 whole-genome assemblies that were identified taxonomically at the genus, species and subspecies levels. Genomic properties, such as genome size and DNA G+C content, and the occurrence in human microbiome data were calculated for each genus or higher taxa. This united database of taxonomy, 16S rRNA gene and genome sequences, with accompanying bioinformatics tools, should accelerate genome-based classification and identification of members of the Bacteria and Archaea. The database and related search tools are available at www.ezbiocloud.net/.
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            A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life

            Taxonomy is an organizing principle of biology and is ideally based on evolutionary relationships among organisms. Development of a robust bacterial taxonomy has been hindered by an inability to obtain most bacteria in pure culture and, to a lesser extent, by the historical use of phenotypes to guide classification. Culture-independent sequencing technologies have matured sufficiently that a comprehensive genome-based taxonomy is now possible. We used a concatenated protein phylogeny as the basis for a bacterial taxonomy that conservatively removes polyphyletic groups and normalizes taxonomic ranks on the basis of relative evolutionary divergence. Under this approach, 58% of the 94,759 genomes comprising the Genome Taxonomy Database had changes to their existing taxonomy. This result includes the description of 99 phyla, including six major monophyletic units from the subdivision of the Proteobacteria, and amalgamation of the Candidate Phyla Radiation into a single phylum. Our taxonomy should enable improved classification of uncultured bacteria and provide a sound basis for ecological and evolutionary studies.
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              Mash: fast genome and metagenome distance estimation using MinHash

              Mash extends the MinHash dimensionality-reduction technique to include a pairwise mutation distance and P value significance test, enabling the efficient clustering and search of massive sequence collections. Mash reduces large sequences and sequence sets to small, representative sketches, from which global mutation distances can be rapidly estimated. We demonstrate several use cases, including the clustering of all 54,118 NCBI RefSeq genomes in 33 CPU h; real-time database search using assembled or unassembled Illumina, Pacific Biosciences, and Oxford Nanopore data; and the scalable clustering of hundreds of metagenomic samples by composition. Mash is freely released under a BSD license (https://github.com/marbl/mash). Electronic supplementary material The online version of this article (doi:10.1186/s13059-016-0997-x) contains supplementary material, which is available to authorized users.
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                Author and article information

                Journal
                bjb
                Brazilian Journal of Biology
                Braz. J. Biol.
                Instituto Internacional de Ecologia (São Carlos, SP, Brazil )
                1519-6984
                1678-4375
                2024
                : 84
                : e256673
                Affiliations
                [01] Cuernavaca Morelos orgnameInstituto de Biotecnología orgdiv1Universidad Nacional Autónoma de México orgdiv2Consejo Nacional de Ciencia y Tecnología México
                [02] Cuernavaca Morelos orgnameInstituto de Investigaciones Básicas y Aplicadas orgdiv1Centro de Investigación en Dinámica Celular orgdiv2Universidad Autónoma del Estado de Morelos México
                Article
                S1519-69842024000100405 S1519-6984(24)08400000405
                10.1590/1519-6984.256673
                3c12e41e-82a6-475e-8ebe-9fa44f001619

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 23 September 2021
                : 15 June 2022
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 31, Pages: 0
                Product

                SciELO Brazil

                Categories
                Original Article

                microbial Mash database,taxonomia microbiana,genomic distance,genome containment,type material,microbial taxonomy,banco de dados de Mash microbiano,distância genômica,contenção de genoma,material de tipo

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