TABLE 1.
Niches | Study aim | Sequencing | Population and sample size | Main outcome | Main pitfall | References |
Brain, heart, liver, spleen, prostate, and uterus | Estimating minimum PMI and cause of death | 16S rRNA gene amplicon sequencing | 158 samples | Reproductive organs (uterus and prostate) were the last internal organs to decay during human decomposition | Larger population size is needed to further account for variation due to (a)biotic factors | Lutz et al., 2020 |
40 human bodies (14 female, 26 male) | ||||||
6 body sites | ||||||
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Skin: nose and ear | Estimating minimum PMI | 16S rRNA gene amplicon sequencing | 144 samples | Machine learning model predicted the PMI with an average error of 2 days | Model was based on only four human bodies that were sampled longitudinally | Johnson et al., 2016 |
21 human bodies | ||||||
2 body sites | ||||||
| ||||||
Skin: left hip, right hip, left bicep, right bicep, left upper hip, right upper hip, left knee, groin, head | Understanding microbially mediated processes during decomposition on different soil substrates | 16S rRNA gene amplicon sequencing 18S rRNA gene amplicon sequencing ITS amplicon sequencing | 2 human bodies during winter | Soil type was not a dominant factor driving community development in the process of decomposition | Limited population size with no information on sex | Metcalf et al., 2016 |
3 skin sites | ||||||
143 days | ||||||
2 human bodies during spring | ||||||
8 skin sites | ||||||
82 days | ||||||
| ||||||
Eyes, ears, mouth, nose, rectum, thigh skin | Estimating minimum PMI for buried bodies | 16S rRNA gene amplicon sequencing | 2 male bodies | Multidisciplinary methodology identified temporal changes in morphology, skeletal muscle protein decomposition, entomology, and microbiome for buried bodies | Model was based on only two human bodies of which multiple samples were taken | Pittner et al., 2020 |
10 timepoints | ||||||
| ||||||
Skin: right hand palm | Linking objects at the death scene to deceased individuals | 16S rRNA gene amplicon sequencing | 11 male bodies | Objects could be traced to deceased individual 75% of the time | Ante-mortem population was not always a demographic representation of the deceased study population | Kodama et al., 2019 |
5 female bodies | ||||||
30 living individuals | ||||||
79 skin samples | ||||||
98 object samples | ||||||
| ||||||
Eyes, nose,ears, mouth, umbilicus rectum | 1. Predicting the ante-mortem health condition of the deceased 2. Comparing three machine learning methods to predict PMI, location of death, and manner of death 3. Predicting cause and manner of death | 16S rRNA gene amplicon sequencing | 47 male bodies 141 female bodies 6 body sites 1 timepoint | 1. Microbial biodiversity from the mouth could predict ante-mortem host health condition (e.g., heart disease) 2. Analysis of post-mortem microbiota from more than thee anatomic areas had limited additional value 3. Beta-dispersion, and case demographic data reflected forensic death determination | Only one timepoint (majority of cases with estimated PMI of <72 h) which does not account for variability within a body | 1. Pechal et al., 2018 2. Zhang et al., 2019 3. Kaszubinski et al., 2020a |
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Mouth: palate, tongue, inner cheek mucosa and tooth surfaces | Estimating minimum PMI | 16S rRNA gene amplicon sequencing | 1 male body | Post-mortem microbial succession in the oral cavity changed in a temporal way according to oxygen availability | Limited population size with large variability | Adserias-Garriga et al., 2017b |
2 female bodies | ||||||
8 timepoints | ||||||
5 body sites | ||||||
| ||||||
External auditory canal, eyes, nares, mouth, umbilicus, and rectum | Studying the impact of coexisting conditions such as frozen affect the human microbiome at the time of discovery | 16S rRNA gene amplicon sequencing | 1 male body 1 female body 3 timepoints |
The microbial diversity increased throughout the thawing process | Association with time since death or cause of death | Pechal et al., 2017 |
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Blood, brain, buccal cavity, heart, liver, and spleen | Estimating minimum PMI | 16S rRNA gene amplicon sequencing | 66 samples | Microbial communities demonstrated time-, organ-, and sex-dependent changes | Niche sampling was not equal for all deceased individuals | Javan et al., 2016b |
27 human bodies (12 female, 15 male) | ||||||
6 body sites | ||||||
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Mouth, external left/right cheeks external left/right bicep region, torso, and rectum | Studying outdoor decomposition under natural conditions | 16S rRNA gene amplicon sequencing and 454 pyro- sequencing | 1 male body | Shifts in community structure were recorded and associated with major decomposition and related events | Limited population size with large variability | Hyde et al., 2015 |
1 female body | ||||||
10 timepoints |
The bold terms refer to the most relevant niches.