Heavy metal resistance in the Yanomami and Tunapuco microbiome.

BACKGROUND: The Amazon Region hosts invaluable and unique biodiversity as well as mineral resources. Consequently, large illegal and artisanal gold mining areas exist in indigenous territories. Mercury has been used in gold mining, and some has been released into the environment and atmosphere, primarily affecting indigenous people such as the Yanomami. In addition, other heavy metals have been associated with gold mining and other metal-dispersing activities in the region. OBJECTIVE: Investigate the gut microbiome of two semi-isolated groups from the Amazon, focusing on metal resistance. METHODS: Metagenomic data from the Yanomami and Tunapuco gut microbiome were assembled into contigs, and their putative proteins were searched against a database of metal resistance proteins. FINDINGS: Proteins associated with mercury resistance were exclusive in the Yanomami, while proteins associated with silver resistance were exclusive in the Tunapuco. Both groups share 77 non-redundant metal resistance (MR) proteins, mostly associated with multi-MR and operons with potential resistance to arsenic, nickel, zinc, copper, copper/silver, and cobalt/nickel. Although both groups harbour operons related to copper resistance, only the Tunapuco group had the pco operon. CONCLUSION: The Yanomami and Tunapuco gut microbiome shows that these people have been exposed directly or indirectly to distinct scenarios concerning heavy metals.

Phylogenetic analyses of chikungunya virus among travelers in Rio de Janeiro, Brazil, 2014-2015.

Chikungunya virus (CHIKV) is a mosquito-borne pathogen that emerged in Brazil by late 2014. In the country, two CHIKV foci characterized by the East/Central/South Africa and Asian genotypes, were established in North and Northeast regions. We characterized, by phylogenetic analyses of full and partial genomes, CHIKV from Rio de Janeiro state (2014-2015). These CHIKV strains belong to the Asian genotype, which is the determinant of the current Northern Brazilian focus, even though the genome sequence presents particular single nucleotide variations. This study provides the first genetic characterisation of CHIKV in Rio de Janeiro and highlights the potential impact of human mobility in the spread of an arthropod-borne virus.

Parvovirus B19 1A complete genome from a fatal case in Brazil.

Parvovirus B19 (B19V) infects individuals worldwide and is associated with an ample range of pathologies and clinical manifestations. B19V is classified into three distinct genotypes, all identified in Brazil. Here, we report a complete sequence of a B19V genotype 1A that was obtained by high-throughput metagenomic sequencing. This genome provides information that will contribute to the studies on B19V epidemiology and evolution.

Rumen and fecal microbiomes are related to diet and production traits in Bos indicus beef cattle.

Background: Ruminants harbor a complex microbial community within their gastrointestinal tract, which plays major roles in their health and physiology. Brazil is one of the largest producers of beef in the world and more than 90% of the beef cattle herds are composed of pure and crossbred Nelore (Bos indicus). Despite its importance to the Brazilian economy and human feeding, few studies have characterized the Nelore microbiome. Therefore, using shotgun metagenomics, we investigated the impact of diet on the composition and functionality of the Nelore microbiome, and explored the associations between specific microbial taxa and their functionality with feed efficiency and methane emission. Results: The ruminal microbiome exhibited significantly higher microbial diversity, distinctive taxonomic profile and variations in microbial functionality compared to the fecal microbiome, highlighting the distinct contributions of the microbiomes of these environments. Animals subjected to different dietary treatments exhibited significant differences in their microbiomes' archaeal diversity and in the abundance of 89 genera, as well as in the functions associated with the metabolism of components of each diet. Moreover, depending on the diet, feed-efficient animals and low methane emitters displayed higher microbial diversity in their fecal microbiome. Multiple genera were associated with an increase or decrease of the phenotypes. Upon analyzing the functions attributed to these taxa, we observed significant differences on the ruminal taxa associated with feed efficient and inefficient cattle. The ruminal taxa that characterized feed efficient cattle stood out for having significantly more functions related to carbohydrate metabolism, such as monosaccharides, di-/oligosaccharides and amino acids. The taxa associated with methane emission had functions associated with methanogenesis and the production of substrates that may influence methane production, such as hydrogen and formate. Conclusion: Our findings highlight the significant role of diet in shaping Nelore microbiomes and how its composition and functionality may affect production traits such as feed efficiency and methane emission. These insights provide valuable support for the implementation of novel feeding and biotechnological strategies.

A plasmid network from the gut microbiome of semi-isolated human groups reveals unique and shared metabolic and virulence traits.

The plasmids in gut microbiomes have the potential to contribute to the microbiome community, as well as human health and physiology. Nevertheless, this niche remains poorly explored. In general, most microbiome studies focus on urban-industrialized groups, but here, we studied semi-isolated groups from South America and Africa, which would represent a link between ancestral and modern human groups. Based on open metagenomic data, we characterized the set of plasmids, including their genes and functions, from the gut microbiome of the Hadza, Matses, Tunapuco, and Yanomami, semi-isolated groups with a hunter, gather or subsistence lifestyle. Unique plasmid clusters and gene functions for each human group were identified. Moreover, a dozen plasmid clusters circulating in other niches worldwide are shared by these distinct groups. In addition, novel and unique plasmids harboring resistance (encompassing six antibiotic classes and multiple metals) and virulence (as type VI secretion systems) genes were identified. Functional analysis revealed pathways commonly associated with urban-industrialized groups, such as lipopolysaccharide biosynthesis that was characterized in the Hadza gut plasmids. These results demonstrate the richness of plasmids in semi-isolated human groups' gut microbiome, which represents an important source of information with biotechnological/pharmaceutical potential, but also on the spread of resistance/virulence genes to semi-isolated groups.

Skin exposure to sunlight: a factor modulating the human gut microbiome composition.

BACKGROUND: The gut microbiome has been increasingly acknowledged as playing a pivotal role in human health. Therefore, a number of studies have focused on variables that impact its microbial structure and consequent functionality. A wide range of factors, such as diet, age, sex, life stage, behavior, ethnicity, and diseases have been considered, and strong links were set out. However, some aspects regarding the microbiome determinants are still under-explored. DISCUSSION: Recently, Bosman et al. presented evidence that skin exposure to narrowband UVB light modulated the gut microbiome of a specific human cohort. This cohort presented an increase of biodiversity, Firmicutes and Proteobacteria, and a decrease of Bacteroidetes. Based on these findings, we revisited our data on a hunter-gatherer gut microbiome (Yanomami) and identified similarities in the gut microbiome of these two cohorts. Both presented a high abundance of Proteobacteria, which had been observed as a unique feature in the Yanomami gut microbiome, and based on Bosman et al study, could be associated with their natural sunlight exposure. CONCLUSION: In this commentary, we would like to point out that the human lifestyle concerning sunlight exposure should be considered as one force modulating the gut microbiome, highlighting, as proposed by Bosman et al, a novel skin-gut axis which is associated with health and disease.

Gut Microbiome Biomarkers and Functional Diversity Within an Amazonian Semi-Nomadic Hunter-Gatherer Group.

Human groups that still maintain traditional modes of subsistence (hunter-gatherers and rural agriculturalists) represent human groups non-impacted by urban-industrialized lifestyles, and therefore their gut microbiome provides the basis for understanding the human microbiome evolution and its association with human health and disease. The Yanomami is the largest semi-nomadic hunter-gatherer group of the Americas, exploring different niches of the Amazon rainforest in Brazil and Venezuela. Here, based on shotgun metagenomic data, we characterized the gut microbiome of the Yanomami from Brazil and compared taxonomically and functionally with the Yanomami from Venezuela, with other traditional groups from the Amazon and an urban-industrialized group. Taxonomic biomarkers were identified to each South American traditional group studied, including each Yanomami group. Broader levels of functional categories poorly discriminated the traditional and urban-industrialized groups, but the stratification of these categories revealed clear segregation of these groups. The Yanomami/Brazil gut microbiome presented unique functional features, such as a higher abundance of gene families involved in regulation/cell signaling, motility/chemotaxis, and virulence, contrasting with the gut microbiomes from the Yanomami/Venezuela and the other groups. Our study revealed biomarkers, and taxonomic and functional features that distinguished the gut microbiome of Yanomami/Brazil and Yanomami/Venezuela individuals, despite their shared lifestyle, culture, and genetic background. These differences may be a reflection of the environmental and seasonal diversity of the niches they explore. Overall, their microbiome profiles are shared with South American and African traditional groups, probably due to their lifestyle. The unique features identified within the Yanomami highlight the bias imposed by underrepresented sampling, and factors such as variations over space and time (seasonality) that impact, mainly, the hunter-gatherers.

Heavy metal resistance in the Yanomami and Tunapuco microbiome

BACKGROUND The Amazon Region hosts invaluable and unique biodiversity as well as mineral resources. Consequently, large illegal and artisanal gold mining areas exist in indigenous territories. Mercury has been used in gold mining, and some has been released into the environment and atmosphere, primarily affecting indigenous people such as the Yanomami. In addition, other heavy metals have been associated with gold mining and other metal-dispersing activities in the region. OBJECTIVE Investigate the gut microbiome of two semi-isolated groups from the Amazon, focusing on metal resistance. METHODS Metagenomic data from the Yanomami and Tunapuco gut microbiome were assembled into contigs, and their putative proteins were searched against a database of metal resistance proteins. FINDINGS Proteins associated with mercury resistance were exclusive in the Yanomami, while proteins associated with silver resistance were exclusive in the Tunapuco. Both groups share 77 non-redundant metal resistance (MR) proteins, mostly associated with multi-MR and operons with potential resistance to arsenic, nickel, zinc, copper, copper/silver, and cobalt/nickel. Although both groups harbour operons related to copper resistance, only the Tunapuco group had the pco operon. CONCLUSION The Yanomami and Tunapuco gut microbiome shows that these people have been exposed directly or indirectly to distinct scenarios concerning heavy metals.

Phylogenetic analyses of chikungunya virus among travelers in Rio de Janeiro, Brazil, 2014-2015

Chikungunya virus (CHIKV) is a mosquito-borne pathogen that emerged in Brazil by late 2014. In the country, two CHIKV foci characterized by the East/Central/South Africa and Asian genotypes, were established in North and Northeast regions. We characterized, by phylogenetic analyses of full and partial genomes, CHIKV from Rio de Janeiro state (2014-2015). These CHIKV strains belong to the Asian genotype, which is the determinant of the current Northern Brazilian focus, even though the genome sequence presents particular single nucleotide variations. This study provides the first genetic characterisation of CHIKV in Rio de Janeiro and highlights the potential impact of human mobility in the spread of an arthropod-borne virus.

Parvovirus B19 1A complete genome from a fatal case in Brazil

Parvovirus B19 (B19V) infects individuals worldwide and is associated with an ample range of pathologies and clinical manifestations. B19V is classified into three distinct genotypes, all identified in Brazil. Here, we report a complete sequence of a B19V genotype 1A that was obtained by high-throughput metagenomic sequencing. This genome provides information that will contribute to the studies on B19V epidemiology and evolution.

Metagenômica na investigação de agentes infecciosos em amostras clínicas humanas / Metagenomics in the investigation of infectious agents in human clinical samples

O vírus dengue infecta um número estimado de 50-100 milhões de pessoasanualmente em todo o mundo e no Brasil, dengue foi relatada pela primeira vez em1981, desde então, a infecção tornou-se hiper-endêmica. As práticas atuais dediagnóstico não detectam o vírus em cerca de 50% dos casos suspeitos.Metagenômica é uma estratégia que pode ser aplicada na identificação de qualquerorganismo em uma amostra, uma vez que recupera sequências de ácidos nucléicosque são analisadas contra bases de dados. Neste estudo, o nosso objetivo foiaplicar abordagens de metagenômica para analisar casos fatais de pacientes queapresentaram sintomas similares a dengue, mas com teste negativo para este víruse também amostras de pacientes com suspeita de febre amarela. DNA e RNAgenômico foram extraídos, amplificados com iniciadores randômicos e processadosno sequenciador Illumina HiSeq2500. Em seguida, aplicamos um pipeline debioinformática para filtragem de sequências de baixa qualidade e remoção desequências humanas. Vários programas foram utilizados para classificar as readsmetagenômicas: Kraken, GOTTCHA, SURPI, Metaphlan2, Taxoner e Blastn. Asanálises in silico identificaram patógenos que foram posteriormente confirmados porensaios in vitro aplicando reagentes específicos. Deste modo, identificamos vírus ebactérias em 13% das amostras. Quatro desses vírus, com potencial depatogenicidade estavam em amostras distintas: Parvovírus B19, vírus da hepatite A,vírus da hepatite G e vírus Torque-teno. Todos eles, com exceção do vírus daHepatite A estavam nos casos fatais. O Parvovírus B19 é um agente patogênico quetem sido associado a casos fatais. As bactérias identificadas foram N. meningitidis do serogrupo C em duas amostras e S...

Dengue virus infects an estimated 50–100 million people annually worldwide and inBrazil, dengue was first reported in 1981, since then the infection became hyperendemic.The current diagnostic practices cannot detect the virus in around 50% ofsuspected cases. Metagenomic is a strategy that can be applied to recover anyorganism in a sample. In this study, our aim was to apply metagenomic approachesto analyse fatal cases of patients presenting dengue-like symptoms, but testingnegative for this virus and samples of patients with suspected yellow fever. GenomicDNA and RNA were extracted, amplified with random primers and sequenced in theIllumina HiSeq2500 sequencer. We then followed a bioinformatic filtering pipeline toremove both low-quality sequences and human sequences. Several tools were usedto classify the metagenome reads: Kraken, GOTTCHA, SURPI, Metaphlan2, Taxonerand Blastn. The in silico analysis identified pathogens that were further confirmed byin vitro assays applying specific reagents. In this way, we were able to detect virusesand bacteria in 13% of the samples. Four viruses, with pathogenicity potential wereidentified in distinct samples: Parvovirus B19, Hepatitis A virus, Hepatitis G virus andTorque-teno virus. All of them, except Hepatitis A virus were present in fatal cases.The Parvovirus B19 is in fact a pathogen that has been eventually associated to fatalcases. The bacteria identified were N. meningitidis serogroup C in two samples andS. pneumoniae in two other samples...