|
covid-19 |
10 |
|
gut microbiome |
8 |
|
carbapenemase-producing enterobacteriaceae |
7 |
|
carriage |
7 |
|
early warnings |
7 |
|
epidemiology |
7 |
|
nested case-control study |
7 |
|
risk factor |
7 |
|
sars-cov-2 |
7 |
|
sewage surveillance |
7 |
|
sewage system characteristics |
7 |
|
antimicrobial resistance |
6 |
|
metagenomics |
6 |
|
one health |
6 |
|
antibiotic resistance genes |
5 |
|
alzheimer’s disease |
4 |
|
biocide resistance genes |
4 |
|
emu |
4 |
|
face mask |
4 |
|
gut microbiota |
4 |
|
hand sanitizer |
4 |
|
infectious diseases |
4 |
|
lactobacillus brevis |
4 |
|
microbiome modulating interventions |
4 |
|
multiple sclerosis |
4 |
|
neurodegenerative disease |
4 |
|
parkinson’s disease |
4 |
|
pollution |
4 |
|
slums |
4 |
|
agriculture |
3 |
|
antimicrobial use/consumption |
3 |
|
biomethane |
3 |
|
coral disease |
3 |
|
ecology |
3 |
|
evolution |
3 |
|
feline intestinal microbiome |
3 |
|
implementation |
3 |
|
influenza |
3 |
|
metagenomic |
3 |
|
microbial communities |
3 |
|
phylodynamics |
3 |
|
phylogeography |
3 |
|
platygyra carnosus |
3 |
|
pretreatment |
3 |
|
pyrosequencing |
3 |
|
renewable energy |
3 |
|
skeletal growth anomalies |
3 |
|
sludge |
3 |
|
sri lanka |
3 |
|
surveillance |
3 |
|
wastewater treatment plan |
3 |
|
zoonotic pathogens |
3 |
|
acid resistance |
2 |
|
antibiotic resistance |
2 |
|
atherosclerosis |
2 |
|
bacteria |
2 |
|
bacteria-based identification |
2 |
|
bangladesh |
2 |
|
biocide/metal resistance genes |
2 |
|
biofuel |
2 |
|
breastfeeding |
2 |
|
ceca |
2 |
|
cecal microbiome |
2 |
|
cecal microbiota |
2 |
|
cellulose degradation |
2 |
|
cesarean birth |
2 |
|
cholesterol |
2 |
|
cluster analysis |
2 |
|
comparative genomics |
2 |
|
complete genome sequence |
2 |
|
computational biology - methods |
2 |
|
coronaviruses: children |
2 |
|
cysteine |
2 |
|
depression |
2 |
|
dromaius novaehollandiae |
2 |
|
eps biosynthesis |
2 |
|
food sensitization |
2 |
|
gaba |
2 |
|
genetic variation |
2 |
|
genome sequencing |
2 |
|
genomic survey |
2 |
|
genotype by diet interaction |
2 |
|
giant panda |
2 |
|
glutamic acid decarboxylase |
2 |
|
gut bacteria |
2 |
|
gut-brain axis |
2 |
|
h2o2 |
2 |
|
hospital wastewater |
2 |
|
hydrogen oxidizing bacteria |
2 |
|
hydrogenotrophic methanogens |
2 |
|
igg |
2 |
|
infant gut microbiota |
2 |
|
influenza a (h5n1) |
2 |
|
klebsiella oxytoca |
2 |
|
long-chain fatty acid synthesis |
2 |
|
microbial community |
2 |
|
microbiome |
2 |
|
multi-cohort |
2 |
|
municipal wastewater |
2 |
|
pathogenicity |
2 |
|
phylogenetic reconstruction |
2 |
|
porcine reproductive and respiratory syndrome - epidemiology - virology |
2 |
|
porcine respiratory and reproductive syndrome virus - classification - genetics - isolation and purification |
2 |
|
prrsv |
2 |
|
purple color characteristic of rhodopseudomonas |
2 |
|
pyroseqencing |
2 |
|
quail model |
2 |
|
recombination |
2 |
|
serology |
2 |
|
streptococcus thermophilus |
2 |
|
syntrophic relationship |
2 |
|
virulence |
2 |
|
γ-aminobutyric acid |
2 |
|
γ-aminobutyric acid (gaba) |
2 |
|
16s rrna gene sequencing |
1 |
|
16s rrna illumina sequencing |
1 |
|
actinobacteria |
1 |
|
allergic disease |
1 |
|
animal experiment |
1 |
|
antibiotic use |
1 |
|
antibiotics |
1 |
|
antimicrobials |
1 |
|
arabinoxylans |
1 |
|
asthma |
1 |
|
atopy |
1 |
|
avian influenza |
1 |
|
bacterium isolation |
1 |
|
bacteroidetes |
1 |
|
bat |
1 |
|
biodiversity |
1 |
|
birth |
1 |
|
birth mode |
1 |
|
breast feeding |
1 |
|
c. difficile |
1 |
|
cardiovascular disease |
1 |
|
cecum |
1 |
|
childhood obesity |
1 |
|
cisterns |
1 |
|
cleaning products |
1 |
|
clostridioides difficile |
1 |
|
cognition |
1 |
|
coronavirus |
1 |
|
dairy cattle |
1 |
|
deshi (local) |
1 |
|
diarrhea |
1 |
|
diet |
1 |
|
digestibility |
1 |
|
diversity |
1 |
|
domestic and wild birds |
1 |
|
dysbiosis |
1 |
|
early-life |
1 |
|
earthen manure storages (ems) |
1 |
|
economic adversities |
1 |
|
esbl-enterobacteriaceae |
1 |
|
escherichia coli |
1 |
|
fasting glucose |
1 |
|
fayoumi chicken |
1 |
|
female |
1 |
|
fungi |
1 |
|
gastrointestinal parasites |
1 |
|
gestational diabetes mellitus |
1 |
|
giant panda - microbiology |
1 |
|
h7 |
1 |
|
h9 |
1 |
|
health |
1 |
|
homa-ir |
1 |
|
homes without running water |
1 |
|
hyperphagia |
1 |
|
infant |
1 |
|
infant feeding |
1 |
|
infant gut |
1 |
|
infants |
1 |
|
infectivity |
1 |
|
influenza a |
1 |
|
insulin resistance |
1 |
|
labor |
1 |
|
metabolites |
1 |
|
metabolome |
1 |
|
microbial genomics |
1 |
|
microbiota |
1 |
|
microbiota development |
1 |
|
milk |
1 |
|
molecular weight |
1 |
|
mycobiome |
1 |
|
natural environments |
1 |
|
neurodevelopment |
1 |
|
nutrients |
1 |
|
nutrition |
1 |
|
obesity |
1 |
|
paired-end sequencing |
1 |
|
pets |
1 |
|
piglets |
1 |
|
piped water |
1 |
|
pm2.5 |
1 |
|
porcine epidemic diarrhea virus (pedv) |
1 |
|
postnatal |
1 |
|
poultry farm workers |
1 |
|
prader‐willi syndrome |
1 |
|
prader–willi syndrome |
1 |
|
preconception |
1 |
|
prenatal |
1 |
|
prenatal depression |
1 |
|
production |
1 |
|
proteobacteria |
1 |
|
real-time quantitative pcr |
1 |
|
resistome |
1 |
|
reverse transcription loop-mediated isothermal amplification |
1 |
|
rumen |
1 |
|
rumen microbiota |
1 |
|
scfa |
1 |
|
sequencing coverage |
1 |
|
serological-survey |
1 |
|
seroprevalence |
1 |
|
shotgun metagenomics |
1 |
|
siga |
1 |
|
significance analysis of microarrays |
1 |
|
single-index |
1 |
|
social adversities |
1 |
|
subacute ruminal acidosis |
1 |
|
supplements |
1 |
|
survey |
1 |
|
survivability |
1 |
|
swine |
1 |
|
taxonomic classification |
1 |
|
thailand |
1 |
|
therapy |
1 |
|
transition period |
1 |
|
travel |
1 |
|
urban |
1 |
|
v3-v4 hypervariable regions |
1 |
|
villagers |
1 |
|
vitamin d |
1 |
|
xylanase |
1 |
|
β-glucan |
1 |
