Table 1

Overview of the application of microbiome in individual identification, geolocation inference, and PMI estimation

ApplicationApplication foundationClassificationRefs.
Individual identificationStrong variations in community membership between individuals, some of these variations are stable over timeMain tissue origins: skin, oral, gut, and vaginal hair[7,55,57,59,62–64,66–68]
The transfer of microbiomes: cohabitating individuals, direct and indirect transfer, sexual contact, single computer keys and mice, and smartphone[7,57–60]
New markers: clade-specific markers and CRISPR spacers[62–64,66]
Influencing factors: decay of microbiota traces with time and diurnal patterns of microbiota[67,68]
Geolocation inferenceMicrobial communities exhibit a biogeographic patternMolecular technologies: TRFLP, DGGE, RISA, and NGS (16S rRNA gene, 18S rRNA gene, metabarcoding, and shotgun metagenomics)[72–80]
Sample types: soil, shoe, dust, skin and body fluids, and gut[60,72–79,81–85]
PMI estimationThe microbiomes that drive mammalian decomposition are somewhat similar and repeatable across different hosts and environmentsAnimal models: mice, rat, and swine[20,88–91,93]
Human cadaver[20,94]
Sample types: abdomen, skin, scalp, gut, bone, and gravesoil[20,88–91,93]
External environments: aboveground, burial cadavers, freshwater, indoor, different seasons, and different sites[20,84,85,88,90,91,93,94]
ApplicationApplication foundationClassificationRefs.
Individual identificationStrong variations in community membership between individuals, some of these variations are stable over timeMain tissue origins: skin, oral, gut, and vaginal hair[7,55,57,59,62–64,66–68]
The transfer of microbiomes: cohabitating individuals, direct and indirect transfer, sexual contact, single computer keys and mice, and smartphone[7,57–60]
New markers: clade-specific markers and CRISPR spacers[62–64,66]
Influencing factors: decay of microbiota traces with time and diurnal patterns of microbiota[67,68]
Geolocation inferenceMicrobial communities exhibit a biogeographic patternMolecular technologies: TRFLP, DGGE, RISA, and NGS (16S rRNA gene, 18S rRNA gene, metabarcoding, and shotgun metagenomics)[72–80]
Sample types: soil, shoe, dust, skin and body fluids, and gut[60,72–79,81–85]
PMI estimationThe microbiomes that drive mammalian decomposition are somewhat similar and repeatable across different hosts and environmentsAnimal models: mice, rat, and swine[20,88–91,93]
Human cadaver[20,94]
Sample types: abdomen, skin, scalp, gut, bone, and gravesoil[20,88–91,93]
External environments: aboveground, burial cadavers, freshwater, indoor, different seasons, and different sites[20,84,85,88,90,91,93,94]

Note: PMI, post-mortem interval; CRISPR, clustered regularly interspaced short palindromic repeat; TRFLP, terminal restriction fragment length polymorphism; DGGE, denaturing gel electrophoresis; RISA, ribosomal intergenic spacer analysis; NGS, next-generation sequencing.

Table 1

Overview of the application of microbiome in individual identification, geolocation inference, and PMI estimation

ApplicationApplication foundationClassificationRefs.
Individual identificationStrong variations in community membership between individuals, some of these variations are stable over timeMain tissue origins: skin, oral, gut, and vaginal hair[7,55,57,59,62–64,66–68]
The transfer of microbiomes: cohabitating individuals, direct and indirect transfer, sexual contact, single computer keys and mice, and smartphone[7,57–60]
New markers: clade-specific markers and CRISPR spacers[62–64,66]
Influencing factors: decay of microbiota traces with time and diurnal patterns of microbiota[67,68]
Geolocation inferenceMicrobial communities exhibit a biogeographic patternMolecular technologies: TRFLP, DGGE, RISA, and NGS (16S rRNA gene, 18S rRNA gene, metabarcoding, and shotgun metagenomics)[72–80]
Sample types: soil, shoe, dust, skin and body fluids, and gut[60,72–79,81–85]
PMI estimationThe microbiomes that drive mammalian decomposition are somewhat similar and repeatable across different hosts and environmentsAnimal models: mice, rat, and swine[20,88–91,93]
Human cadaver[20,94]
Sample types: abdomen, skin, scalp, gut, bone, and gravesoil[20,88–91,93]
External environments: aboveground, burial cadavers, freshwater, indoor, different seasons, and different sites[20,84,85,88,90,91,93,94]
ApplicationApplication foundationClassificationRefs.
Individual identificationStrong variations in community membership between individuals, some of these variations are stable over timeMain tissue origins: skin, oral, gut, and vaginal hair[7,55,57,59,62–64,66–68]
The transfer of microbiomes: cohabitating individuals, direct and indirect transfer, sexual contact, single computer keys and mice, and smartphone[7,57–60]
New markers: clade-specific markers and CRISPR spacers[62–64,66]
Influencing factors: decay of microbiota traces with time and diurnal patterns of microbiota[67,68]
Geolocation inferenceMicrobial communities exhibit a biogeographic patternMolecular technologies: TRFLP, DGGE, RISA, and NGS (16S rRNA gene, 18S rRNA gene, metabarcoding, and shotgun metagenomics)[72–80]
Sample types: soil, shoe, dust, skin and body fluids, and gut[60,72–79,81–85]
PMI estimationThe microbiomes that drive mammalian decomposition are somewhat similar and repeatable across different hosts and environmentsAnimal models: mice, rat, and swine[20,88–91,93]
Human cadaver[20,94]
Sample types: abdomen, skin, scalp, gut, bone, and gravesoil[20,88–91,93]
External environments: aboveground, burial cadavers, freshwater, indoor, different seasons, and different sites[20,84,85,88,90,91,93,94]

Note: PMI, post-mortem interval; CRISPR, clustered regularly interspaced short palindromic repeat; TRFLP, terminal restriction fragment length polymorphism; DGGE, denaturing gel electrophoresis; RISA, ribosomal intergenic spacer analysis; NGS, next-generation sequencing.

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