2019
DOI: 10.3389/fmicb.2019.01743
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 shotg… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

2
55
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 34 publications
(58 citation statements)
references
References 50 publications
2
55
1
Order By: Relevance
“…Survey of human metagenomic data sets. Available cohorts of human gut metagenomic sequence data (National Center for Biotechnology Information projects PRJNA422434 [87], PRJEB10878 [88], PRJEB12123 [89], PRJEB12124 [90], PRJEB15371 [91], PRJEB6997 [92], PRJDB3601 [93], PRJNA48479 [94], PRJEB4336 [95], PRJEB2054 [96], PRJNA392180 [51], and PRJNA527208 [97]) were searched for the presence of 1,3GUL nucleotide sequences from B. fluxus (12.5 kb), B. thetaiotaomicron (12.6 kb), and B. uniformis (14.5 kb) using the following workflow. Each 1,3GUL nucleotide sequence was used separately as a template, and then magic-blast v1.5.0 (98) was used to recruit raw Illumina reads from the available metagenomic data sets with an identity cutoff of 97%.…”
Section: Discussionmentioning
confidence: 99%
“…Survey of human metagenomic data sets. Available cohorts of human gut metagenomic sequence data (National Center for Biotechnology Information projects PRJNA422434 [87], PRJEB10878 [88], PRJEB12123 [89], PRJEB12124 [90], PRJEB15371 [91], PRJEB6997 [92], PRJDB3601 [93], PRJNA48479 [94], PRJEB4336 [95], PRJEB2054 [96], PRJNA392180 [51], and PRJNA527208 [97]) were searched for the presence of 1,3GUL nucleotide sequences from B. fluxus (12.5 kb), B. thetaiotaomicron (12.6 kb), and B. uniformis (14.5 kb) using the following workflow. Each 1,3GUL nucleotide sequence was used separately as a template, and then magic-blast v1.5.0 (98) was used to recruit raw Illumina reads from the available metagenomic data sets with an identity cutoff of 97%.…”
Section: Discussionmentioning
confidence: 99%
“…Available cohorts of human gut metagenomic sequence data (National Center for Biotechnology Information projects: PRJNA422434 45 , PRJEB10878 46 , PRJEB12123 47 , PRJEB12124 48 , PRJEB15371 49 , PRJEB6997 50 , PRJDB3601 51 , PRJNA48479 52 , PRJEB4336 53 , PRJEB2054 54 , PRJNA392180 55 , and PRJNA527208 56 were searched for the presence of CGN/POR/AGAR degrading PUL nucleotide sequences from Bt 37371 , Bo 12C04 , Bp 17135 , Bu NP1 , Bx 18-002P and Faecalicatena spp. using the following workflow: Each PUL nucleotide sequence was used separately as a template and then magic-blast v1.5.0 57 was used to recruit raw Illumina reads from the available metagenomic datasets with an identity cutoff of 97%.…”
Section: Methodsmentioning
confidence: 99%
“…The microbiome of these traditional groups has been characterized by higher biodiversity and higher Firmicutes to Bacteroidetes ratio contrasting with urban groups ( Figure 1 ). 1 , 3 5 , 14 In Bosman et al’s study, Firmicutes increased after UVB exposure with the enrichment of Lachnospiraceae, Ruminococcus and Clostridiaeae families. 16 These Firmicutes families were also abundant in the traditional groups, and abundance of other Firmicutes families/genera was also observed.…”
mentioning
confidence: 95%
“…In the past decade, numerous studies on the gut microbiome of different populations have taken into account a wide range of factors, such as human diet, age, sex, life stage (pregnancy, lactating, menopausal stage), social behavior (use of alcohol, antibiotics, tobacco), geography, environment, ethnicity, and diseases. [1][2][3][4][5][6][7][8][9][10][11][12][13][14] Most of these studies established a link of one or more of those factors and the gut microbiome composition. Therefore, the gut microbiome modulation is driven by a complex and dynamic network presenting a wide range of variables.…”
mentioning
confidence: 99%
See 1 more Smart Citation