Paracoccaceae Details: NCBI 31989, gram-negative or unknown [family]

| alpha-3 proteobacteria| Rhodobacter clade| Rhodobacter group| Rhodobacteraceae| Rhodobacteraceae Garrity et al. 2006| Roseobacter group

1. Bioremediation: Paracoccaceae bacteria, particularly species within the genus Paracoccus, are known for their metabolic versatility and their ability to degrade a wide range of organic compounds. They play important roles in bioremediation processes, where they contribute to the breakdown and detoxification of environmental pollutants, including hydrocarbons, pesticides, and industrial chemicals. While their bioremediation activities have environmental benefits, their direct impact on human health is minimal.

2. Nitrogen fixation: Some Paracoccus species are nitrogen-fixing bacteria, capable of converting atmospheric nitrogen into ammonia, which can be utilized by plants. These bacteria may form symbiotic relationships with certain plants or contribute to nitrogen cycling in soil ecosystems. While nitrogen fixation is important for plant growth and soil fertility, the direct impact of Paracoccaceae bacteria on human health through this process is indirect and primarily related to food production and agricultural practices.

3. Potential biotechnological applications: Paracoccaceae bacteria have potential biotechnological applications due to their metabolic capabilities and enzymatic activities. Enzymes produced by Paracoccus species, such as oxidases, dehydrogenases, and hydrolases, have applications in various industrial processes, including wastewater treatment, food processing, and pharmaceutical production. While these applications have economic and industrial benefits, their direct impact on human health is related to product quality and safety rather than direct exposure to the bacteria themselves.

4. Endosymbiotic relationships: Some Paracoccaceae bacteria may form endosymbiotic relationships with insects or other organisms. These bacteria can play important roles in the nutrition, development, and physiology of their hosts. While the study of endosymbiotic relationships has implications for understanding host-microbe interactions and symbiosis, the direct impact on human health is indirect and primarily related to agricultural and ecological contexts.

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Other Sources for more information:

• Immune Epitope Database
• The NCBI taxonomy database
• UniProt
• Immune Epitope Taxonomy Database (IEDB)
• AI Engines For more Details: Perplexity  Kagi Labs  You 

More Information

Statistics

NCBI

Data Punk

End Products Produced

Lab Reporting

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 Paracoccaceae

• 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	1.06			13	2000	0	1519	371.2	120	585.6	0	719	0 %ile	100 %ile
biomesight	20.12	0	10	10	230	0	543	68.4	20	241.9	20	80	0 %ile	96.5 %ile
thorne	100			67	662	0	564	256.7	174	156.7	132	592	0 %ile	100 %ile
thryve	24.55	0	14	15	76	0	451	62.5	30	198.3	8	90	8 %ile	92 %ile
ubiome	0.51			21	1119	0	1369	303	36	544	21	1119	16.7 %ile	66.7 %ile

External Reference Ranges for Paracoccaceae

Paracoccaceae (NCBI 31989) per million

Source of Ranges	Low Boundary	High Boundary	Low Boundary %age	High Boundary %age

Statistic by Lab Source for Paracoccaceae

These desired values are reported from the lab reports

Lab	Frequency Seen	Average	Standard Deviation	Sample Count	Lab Samples
AmericanGut	6.667 %	0.03 %	%	1.0	15
BiomeSight	21.067 %	0.006 %	0.022 %	624.0	2962
BiomeSightRdp	6.452 %	0.002 %	0 %	2.0	31
bugspeak	100 %	0.042 %	%	1.0	1
CerbaLab	66.667 %	0.003 %	0.001 %	2.0	3
CosmosId	3.125 %	0.002 %	%	1.0	32
custom	1.639 %	0.007 %	%	1.0	61
es-xenogene	13.793 %	0.155 %	0.046 %	4.0	29
Medivere	100 %	0.009 %	0.009 %	7.0	7
SequentiaBiotech	11.111 %	0.028 %	0.029 %	4.0	36
Thorne	86.139 %	0.015 %	0.013 %	87.0	101
Thryve	23.83 %	0.007 %	0.025 %	331.0	1389
Tiny	50 %	0.006 %	%	1.0	2
uBiome	0.505 %	0.03 %	0.054 %	4.0	792

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Data Contradictions — Limits of Certainity

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General Substance	Specific Substance	Effect
Probiotics	Prescript Assist (2018 Formula)	1 Studies recorded. The consensus is Increases👶, Click for details.
Vitamins, Minerals and similar	vitamin d	1 Studies recorded. The consensus is Increases📓, Click for details.

Foods Containing the Paracoccaceae bacteria

Data comes from FoodMicrobionet. For the meaning of weight, see that site. The bacteria does not need to be alive to have an effect.

Greek style fermented table olives, Table Olives Kalamata Weight: 0.2889 Chinese fish sauce Weight: 0.2727 Swiss-Dutch-type cheese Weight: 0.04289 Lard Farm Weight: 0.02399 Sufu - Formented tofu Weight: 0.02207 Palm wine Weight: 0.02197 Jarlsberg cheese Weight: 0.01811 Ham fermented for 4 years Weight: 0.01513 Curd cheese, cow milk Weight: 0.01225 Cheese with protective lactobacilli in milk Weight: 0.01037 Cerrado cheese, cow milk Weight: 0.007929 Sausage, Cyprus: Limassol Weight: 0.006683 Liqvan cheese cheese Weight: 0.003342 Serrano cheese, cow milk Weight: 0.003107 yoghurt fermentation Weight: 0.002486 Sausage, Cyprus: Paphos Weight: 0.0006103999951168

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