Eumetazoa Details: NCBI 6072, gram-negative or unknown [clade]
| Eumetazoa
Diversity of Organisms:
Eumetazoa includes organisms ranging from simple multicellular animals to highly complex and specialized forms. This diversity encompasses invertebrates like insects, mollusks, and crustaceans, as well as vertebrates like fish, amphibians, reptiles, birds, and mammals.
Ecological Roles:
Eumetazoans play crucial roles in ecosystems as consumers, decomposers, and contributors to nutrient cycling. Many are integral parts of food webs, serving as prey and predators.
Economic Importance:
Several Eumetazoan species have significant economic importance. For example, certain fish and shellfish species are important for human consumption, and others are economically valuable in agriculture (e.g., pollinators like bees) or as pets.
Model Organisms:
Some Eumetazoans, particularly certain species of insects, fish, and mammals, serve as model organisms in scientific research. Studies on these organisms contribute to our understanding of genetics, development, physiology, and diseases, benefiting both human and animal health.
Zoonotic Diseases:
Certain Eumetazoans can act as hosts for zoonotic diseases—diseases that can be transmitted between animals and humans. Examples include diseases transmitted by insects (vectors) such as mosquitoes or ticks.
Conservation and Biodiversity:
Many Eumetazoans face threats due to habitat loss, pollution, climate change, and other factors. Conservation efforts are crucial to preserving biodiversity and the ecological balance of ecosystems.
Human Health and Medicine:
Some Eumetazoans are directly relevant to human health. For example, certain species are involved in the transmission of diseases, while others may be sources of medical compounds or models for biomedical research.
Different labs use different software to read the sample. See this post for more details.
One lab may say you have none, another may say you have a lot! - This may be solely due to the software they are using to estimate.
We deem lab specific values using values from the KM method for each specific lab to be the most reliable.
Desired Levels Suggestions for Eumetazoa
Frequency - how often do samples show this bacteria
UD - An alternative statistical algorithm (which factors in the frequency)
Kaltoft-Moldrup Heuristic Using uploaded data
Lab Low and High are calculated using the formula that most labs use: Mean - 2 Standard Deviation to Mean + 2 Standard Deviation
These are values that are computed from lab specific samples (Patent Pending)
Lab
Frequency
UD-Low
UD-High
KM Low
KM High
Lab Low
Lab High
Mean
Median
Standard Deviation
Box Plot Low
Box Plot High
KM Percentile Low
KM Percentile High
Other Labs
0.97
10
1000000
0
470340
54734.8
2085
212043.5
0
15240
0 %ile
100 %ile
biomesight
27.75
0
10
10
110
0
271
42.5
20
116.8
20
60
0 %ile
95.9 %ile
thorne
24.14
2
11
0
11
4.6
3
3.1
2
11
11.1 %ile
77.8 %ile
thryve
0.63
13
152436
0
134708
21817.6
37
57597.3
13
152436
11.1 %ile
77.8 %ile
ubiome
1.39
21
1593
0
1131
236.2
66
456.7
21
1593
7.7 %ile
84.6 %ile
External Reference Ranges for Eumetazoa
Eumetazoa (NCBI 6072) per million
Source of Ranges
Low Boundary
High Boundary
Low Boundary %age
High Boundary %age
Statistic by Lab Source for Eumetazoa
These desired values are reported from the lab reports
Lab
Frequency Seen
Average
Standard Deviation
Sample Count
Lab Samples
BiomeSight
26.606 %
0.004 %
0.01 %
1238.0
4653
BiomeSightRdp
70.968 %
1.291 %
2.371 %
22.0
31
custom
1.316 %
0.076 %
%
1.0
76
es-xenogene
18.75 %
16.743 %
40.788 %
6.0
32
Medivere
12.5 %
0.017 %
%
1.0
8
SequentiaBiotech
2.857 %
0.069 %
%
1.0
35
Thorne
11.419 %
0.137 %
0.668 %
33.0
289
Thryve
0.518 %
1.909 %
5.388 %
8.0
1543
uBiome
1.372 %
0.024 %
0.046 %
11.0
802
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