| Polyphaga
Allergies: Polyphaga beetles, like many insects, can produce allergenic proteins or compounds that may trigger allergic reactions in sensitive individuals. These reactions can range from mild skin irritation to more severe respiratory symptoms, such as asthma attacks or allergic rhinitis.
Ecological Impact: Polyphaga beetles play essential roles in ecosystems as pollinators, decomposers, predators, and prey. By pollinating plants, aiding in nutrient cycling through decomposition, and controlling populations of other insects, they contribute to ecosystem balance and function. This indirectly benefits human health by supporting biodiversity, ecosystem services, and food production.
Vector for Disease: While Polyphaga beetles are not known to transmit diseases to humans directly, they can serve as intermediate hosts for parasites or pathogens that affect other animals. For example, some beetles may harbor parasitic nematodes or protozoa that infect amphibians or small mammals, indirectly impacting ecosystems and human activities like fishing or agriculture.
Impact on Agriculture: Certain species of Polyphaga beetles are considered agricultural pests, feeding on crops, stored grains, or wood products. They can cause economic losses by damaging crops or stored food supplies. Effective pest management strategies are necessary to control beetle populations while minimizing the use of chemical pesticides, which can have adverse effects on human health and the environment.
Beneficial Insects: Some Polyphaga beetles are beneficial insects in agriculture, serving as natural enemies of crop pests. Biological control methods, such as using predatory beetles to manage pest populations, can reduce the reliance on chemical pesticides, thereby minimizing human exposure to harmful chemicals and promoting sustainable agriculture practices.
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Other Sources for more information:
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NCBI | Data Punk | End Products Produced |
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.
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 |
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Other Labs | 0.49 | 20 | 66950 | 0 | 45672 | 6144.5 | 40 | 20167 | 20 | 66950 | 7.7 %ile | 84.6 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
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Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
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BiomeSightRdp | 29.032 % | 0.746 % | 2.231 % | 9.0 | 31 |
es-xenogene | 9.375 % | 0.015 % | 0.008 % | 3.0 | 32 |
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