METAGENOME-ASSEMBLED GENOMES (MAGS) AS AN ENVIRONMENT-SPECIFIC DATABASE TO IMPROVE THE AVERAGE CLASSIFICATION OF METAGENOMIC READS.

Gabriel Alexander Colmenarez Pena; Liliane Conteville; Juliana Virginio Da Silva; Luiz Lehmann Coutinho; Gerson Barreto Mourão; Adhemar Zerlotini Neto; Luciana Correia De Almeida Regitano

Paper Title

Authors

Gabriel Alexander Colmenarez Pena
Liliane Conteville
Juliana Virginio Da Silva
Luiz Lehmann Coutinho
Gerson Barreto Mourão
Adhemar Zerlotini Neto
Luciana Correia De Almeida Regitano

Modality

Poster

Subject area

DNA and Genomics

Publishing Date

21/11/2024

Country of Publishing

Brazil | Brasil

Language of Publishing

Inglês

Paper Page

https://www.even3.com.br/anais/xmeeting-2024/831502-metagenome-assembled-genomes-(mags)-as-an-environment-specific-database-to-improve-the-average-classification-of-

ISBN

978-65-272-0843-3

Keywords

MAGs, environment-specific database, metagenomics, RefSeq, microbiome, taxonomy

Summary

The interplay between microbial communities and cattle physiology directly influences various aspects of productivity, health, and environmental sustainability within the agricultural sector. Although several advances have been made, the microorganisms within cattle microbiomes are still understudied. The limitation of existing databases often yields inconclusive or inaccurate results for the identification and taxonomic assignment of organisms in microbiomes. In environments like the cattle rumen and fecal microbiome, characterized by rich taxonomic diversity, precise sequence data identification is imperative for comprehensive community studies. Metagenome-assembled genomes (MAGs) have emerged as a valuable tool for studying microbial communities in diverse environments. MAGs represent a broader spectrum of microbial taxa, including novel or uncultured microbes that are not represented in reference databases. In this study, we compared taxonomic analysis using Kraken2 with two reference databases; the first consisted of the Kraken2 standard database composed of genomes in RefSeq, and the second consisted of 674 non-redundant MAGs with completeness =80% and contamination =10% from Nelore ruminal and fecal microbiomes. Interestingly, taxonomic classification of the metagenomic reads based on the first database yielded an average classification of 10-22% and with the second database yielded 30-64%. Notably, our investigation revealed significant disparities in taxonomic profiles at the phylum level, particularly among the top 8 abundant phyla on both analyses, with exception of verrucomicrobia phylum. These findings underscore the importance of our approach and its potential impact in studying microbiome communities. They also highlight the critical role of database selection in uncovering the intricacies of communities and, by considering the environment specificity, this approach can also help to identify uncharacterized taxa.

Title of the Event: 20º Congresso Brasileiro de Bioinformática: X-Meeting 2024
City of the Event: Salvador
Title of the Proceedings of the event: X-Meeting presentations
Name of the Publisher: Even3
Means of Dissemination: Meio Digital

How to cite

PENA, Gabriel Alexander Colmenarez et al.. METAGENOME-ASSEMBLED GENOMES (MAGS) AS AN ENVIRONMENT-SPECIFIC DATABASE TO IMPROVE THE AVERAGE CLASSIFICATION OF METAGENOMIC READS... In: X-Meeting presentations. Anais...Salvador(BA) Hotel Deville Prime, 2024. Available in: https//www.even3.com.br/anais/xmeeting-2024/831502-METAGENOME-ASSEMBLED-GENOMES-(MAGS)-AS-AN-ENVIRONMENT-SPECIFIC-DATABASE-TO-IMPROVE-THE-AVERAGE-CLASSIFICATION-OF-. Access in: 08/05/2025