Environmental, socioeconomic, and health factors associated with gut microbiome species and strains in isolated Honduras villages/Experiment 5

From BugSigDB


Needs review

Curated date: 2024/11/17

Curator: KateRasheed

Revision editor(s): KateRasheed

Subjects

Location of subjects
Honduras
Host species Species from which microbiome was sampled. Contact us to have more species added.
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Health-related quality of life measurement HRQOL,Health-related quality of life measurement,health-related quality of life measurement
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Healthy individuals
Group 1 name Corresponds to the case (exposed) group for case-control studies
Unhealthy individuals based on medication use
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Unhealthy individuals based on medication use refers to those with unhealthy phenotypes like antibiotics, painkillers, anti-diarreal, anti-fungal, anti-parasitic, anti-hypertensive and vitamins

Lab analysis

Sequencing type
WMS
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
Not specified
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
centered log-ratio
Statistical test
Mixed-Effects Regression
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
Yes
Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
body mass index, sex, Confounders controlled for: "Age" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.Age, Confounders controlled for: "Bristol stool scale" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.Bristol stool scale, Confounders controlled for: "sampling date" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.sampling date, Confounders controlled for: "batch effect" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.batch effect, Confounders controlled for: "DNA concentration" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.DNA concentration


Signature 1

Needs review

Curated date: 2024/11/17

Curator: KateRasheed

Revision editor(s): KateRasheed

Source: Table S1

Description: Differential abundant taxa between healthy and unhealthy individuals based on medication use.

Abundance in Group 1: increased abundance in Unhealthy individuals based on medication use

NCBI Quality ControlLinks
Lachnospiraceae_unclassified_SGB5104Lachnospiraceae_unclassified_SGB5104
GGB4768_SGB6601GGB4768_SGB6601
Ruminococcaceae_unclassified_SGB69292Ruminococcaceae_unclassified_SGB69292
Candidatus Gastranaerophilales bacterium
Selenomonadales bacterium
Bacteroides ovatus
Bacteroides xylanisolvens
Parabacteroides distasonis
Bacteroides thetaiotaomicron
Alistipes shahii
Bacteroides uniformis
Clostridium sp. AM22-11AC

Revision editor(s): KateRasheed

Signature 2

Needs review

Curated date: 2024/11/17

Curator: KateRasheed

Revision editor(s): KateRasheed

Source: Table S1

Description: Differential abundant taxa between healthy and unhealthy individuals based on medication use.

Abundance in Group 1: decreased abundance in Unhealthy individuals based on medication use

NCBI Quality ControlLinks
[Ruminococcus] torques
GGB34228_SGB72916GGB34228_SGB72916
Blautia
Lachnospira eligens
SGB6970SGB6970
SGB15249SGB15249
Clostridia_unclassified_SGB6385Clostridia_unclassified_SGB6385
SGB4122SGB4122
SGB15053_groupSGB15053_group
Clostridiaceae bacterium OM08-6BH
GGB781_SGB1024GGB781_SGB1024
GGB3478_SGB4643GGB3478_SGB4643
GGB9615_SGB15052GGB9615_SGB15052
GGB3490_SGB4664GGB3490_SGB4664
SGB15377SGB15377
SGB14215SGB14215
SGB13987SGB13987
Lachnospiraceae_unclassified_SGB5104Lachnospiraceae_unclassified_SGB5104
GGB3118_SGB4130GGB3118_SGB4130
Faecalibacterium prausnitzii
Clostridiales bacterium KLE1615
SGB5062SGB5062
Prevotella_SGB1653Prevotella_SGB1653
Clostridia_unclassified_SGB6371Clostridia_unclassified_SGB6371
GGB9342_SGB14306GGB9342_SGB14306
SGB8651SGB8651
SGB15408SGB15408
Lachnospiraceae bacterium OM04-12BH
SGB6328SGB6328
SGB4648SGB4648
GGB6565_SGB9274GGB6565_SGB9274
GGB3623_SGB4900GGB3623_SGB4900
GGB1249_SGB1670GGB1249_SGB1670
Clostridia_unclassified_SGB6276Clostridia_unclassified_SGB6276
Bacilli_unclassified_SGB6478Bacilli_unclassified_SGB6478
Clostridium sp. AF34-13
Ruminococcaceae_unclassified_SGB69291Ruminococcaceae_unclassified_SGB69291
GGB1631_SGB2239GGB1631_SGB2239
Slackia isoflavoniconvertens
SGB6499SGB6499
GGB4979_SGB6973GGB4979_SGB6973
GGB4585_SGB6340GGB4585_SGB6340
Roseburia faecis
Prevotella pectinovora
GGB3637_SGB4930GGB3637_SGB4930
Ruminococcus intestinalis
Dorea longicatena
Clostridium sp. OM07-10AC
GGB3737_SGB5071GGB3737_SGB5071
Eubacterium sp. AF22-8LB
SGB4300SGB4300
GGB1244_SGB1664GGB1244_SGB1664
SGB6472SGB6472
Treponema succinifaciens
GGB9635_SGB15100GGB9635_SGB15100
SGB9323SGB9323
GGB1630_SGB2238GGB1630_SGB2238
Olsenella sp. GAM18
Roseburia_SGB4958Roseburia_SGB4958
Haemophilus parainfluenzae
Parolsenella massiliensis
Ruminococcus bovis
SGB4881SGB4881
[Ruminococcus] lactaris
SGB15323SGB15323
SGB15322SGB15322

Revision editor(s): KateRasheed