Table 1.
16S rRNA gene amplicon data used to compare the chicken GIT microbial composition throughout geographic location.
Fig 1.
Principal coordinate analysis (PCoA) of unweighted UniFrac distances.
Chicken GIT microbiota samples from different geographic locations were designated as AUS: Australia, ARG: Argentina, CRO: Croatia, GER: Germany, HUN: Hungary, MAL: Malaysia, SLO: Slovenia and USA: United States.
Table 2.
Calculated fit of metadata factors to unweighted UniFrac community distances for chicken microbiota using ADONIS.
Fig 2.
Geography map of chicken GIT microbiota at the family level.
Different colors are used to indicate each individual taxon according to the country of origin designated as AUS: Australia, ARG: Argentina, CRO: Croatia, GER: Germany, HUN: Hungary, MAL: Malaysia, SLO: Slovenia, and USA: United States. The taxonomic classification: p_phylum, c_class, o_order, and f_family.
Table 3.
Alpha diversity indexes for chicken samples throughout geographic location.
Fig 3.
Principal coordinate analysis (PCoA) of unweighted UniFrac distances.
Chicken cecal microbiota samples from different Argentinian farms were designated as ET1: Experimental Trial 1, ET2: Experimental Trial 2, CP: Conventional Poultry, and AE: Agroecological Farm.
Table 4.
Alpha diversity indexes for chicken cecal Argentine samples.
Fig 4.
Venn diagram and UpSet plot of the Argentinian samples.
Venn diagram and UpSet plot show the number of shared OTUs between chicken cecal Argentinian samples designated as ET: Experimental Trial, CP: Conventional Poultry, and AE: Agroecological Farm.
Table 5.
List of shared OTUs among chicken cecal Argentine samples.