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Evidence of zoonotic pathogens through biophysically induced genomic variance

Published online by Cambridge University Press:  13 March 2024

Daniah Alsufyani Open the ORCID record for Daniah Alsufyani [Opens in a new window]
Daniah Alsufyani*
Affiliation:
College of Sciences and Health Professions, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Jeddah, Saudi Arabia King Abdullah International Medical Research Center, Jeddah, Saudi Arabia Ministry of the National Guard - Health Affairs, Jeddah, Saudi Arabia
*
Email: sufyanid@ksau-hs.edu.sa
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Abstract

Zoonoses are infectious agents that are transmissible between animals and humans. Up to 60% of known infectious diseases and 75% of emergent diseases are zoonotic. Genomic variation between homeostatic populations provides a novel window into the effect of environmental pathogens on allelic distributions within the populations. Genodynamics is a biophysical approach utilizing developed metrics on biallelic single-nucleotide polymorphisms (SNPs) that can be used to quantify the adaptive influences due to pathogens. A genomic free energy that is minimized when overall population health is optimized describes the influence of environmental agents upon genomic variation. A double-blind exploration of over 100 thousand SNPs searching for smooth functional dependencies upon four zoonotic pathogens carried by four possible hosts amidst populations that live in their ancestral environments has been conducted. Exemplars that infectious agents can have significant adaptive influence on human populations are presented. One discussed SNP is likely associated with both adaptive and innate immune regulation. The adaptive response of another SNP suggests an intriguing connection between zoonoses and human cancers. The adaptive forces of the presented pathogens upon the human genome have been quantified.

Keywords

computational biophysicszoonosisadaptive forceGenodynamicsAdaptation
Type
Review
Information
Quarterly Reviews of Biophysics , Volume 57 , 2024 , e2
Copyright
© The Author(s), 2024. Published by Cambridge University Press

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