Residual Biological Autonomy: A Multidimensional Framework Linking Viral Dependence, Endosymbiotic Integration, and Malignant De-integration

Biological entities cannot be classified adequately through a binary distinction between autonomy and dependence. Viruses preserve hereditary information and form evolving lineages but normally depend on cellular machinery for translation, metabolism, and propagation. Bacteria possess comparatively complete cellular organization, whereas obligate endosymbionts and endosymbiotic organelles exhibit progressive reductions, transfers, and redistributions of genetic, metabolic, reproductive, and regulatory control. Somatic cells retain substantial operational capacities while functioning under multicellular constraints, and malignant lineages progressively redirect selected cellular capacities toward clonal survival, proliferation, adaptation, and dispersal. This article proposes the Residual Biological Autonomy Framework (RBAF), a conceptual and hypothesis-generating model in which biological autonomy is treated as a multidimensional, relational, and context-dependent property. Eight principal dimensions are distinguished: informational, metabolic, translational, reproductive, regulatory, boundary, ecological, and evolutionary autonomy. The framework further separates internal capacity from functional execution, biological dependence from higher-order integration, and physical incorporation from evolutionary alignment. Within RBAF, viruses are interpreted as forms of dependent informational and evolutionary autonomy rather than as incomplete cells. Bacteria represent autonomous cellular platforms capable of remaining free-living, developing host associations, or undergoing progressive endosymbiotic integration. Endosymbiotic organelles illustrate how formerly autonomous functions can be retained, reduced, transferred, shared, and placed under host control. Cancer is interpreted as selective biological de-integration, in which cell-lineage autonomy increases relative to tissue- and organism-level coordination without producing a literal return to an ancestral unicellular state. Naturally transmissible cancers constitute an exceptional boundary case in which a somatically derived lineage acquires evolutionary continuity across individual hosts. RBAF does not propose a common genealogical origin for viruses, bacteria, endosymbiotic organelles, and malignant cells. Its central hypothesis is that biological stability depends on maintaining component autonomy within ranges compatible with higher-order organization. The framework generates comparative predictions concerning endosymbiotic integration, viral latency and domestication, cancer progression, metastasis, conflict suppression, and transmissible malignancy. Its scientific value will depend on whether the proposed autonomy dimensions can be operationalized and shown to improve biological explanation or prediction. The methodological program further specifies domain-relative standardization, data-derived weighting, and measurement-invariance tests to prevent artificial numerical equivalence across biological domains.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-25
DOI
https://doi.org/10.5281/zenodo.22960569
Primary Topic
Bacteriophages and microbial interactions
Type
preprint
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Residual Biological Autonomy: A Multidimensional Framework Linking Viral Dependence, Endosymbiotic Integration, and Malignant De-integration

Narcis Somesfalean
Zenodo (CERN European Organization for Nuclear Research)
Bacteriophages and microbial interactions
preprint

Residual Biological Autonomy: A Multidimensional Framework Linking Viral Dependence, Endosymbiotic Integration, and Malignant De-integration

Narcis Somesfalean
preprint en

Abstract

Biological entities cannot be classified adequately through a binary distinction between autonomy and dependence. Viruses preserve hereditary information and form evolving lineages but normally depend on cellular machinery for translation, metabolism, and propagation. Bacteria possess comparatively complete cellular organization, whereas obligate endosymbionts and endosymbiotic organelles exhibit progressive reductions, transfers, and redistributions of genetic, metabolic, reproductive, and regulatory control. Somatic cells retain substantial operational capacities while functioning under multicellular constraints, and malignant lineages progressively redirect selected cellular capacities toward clonal survival, proliferation, adaptation, and dispersal. This article proposes the Residual Biological Autonomy Framework (RBAF), a conceptual and hypothesis-generating model in which biological autonomy is treated as a multidimensional, relational, and context-dependent property. Eight principal dimensions are distinguished: informational, metabolic, translational, reproductive, regulatory, boundary, ecological, and evolutionary autonomy. The framework further separates internal capacity from functional execution, biological dependence from higher-order integration, and physical incorporation from evolutionary alignment. Within RBAF, viruses are interpreted as forms of dependent informational and evolutionary autonomy rather than as incomplete cells. Bacteria represent autonomous cellular platforms capable of remaining free-living, developing host associations, or undergoing progressive endosymbiotic integration. Endosymbiotic organelles illustrate how formerly autonomous functions can be retained, reduced, transferred, shared, and placed under host control. Cancer is interpreted as selective biological de-integration, in which cell-lineage autonomy increases relative to tissue- and organism-level coordination without producing a literal return to an ancestral unicellular state. Naturally transmissible cancers constitute an exceptional boundary case in which a somatically derived lineage acquires evolutionary continuity across individual hosts. RBAF does not propose a common genealogical origin for viruses, bacteria, endosymbiotic organelles, and malignant cells. Its central hypothesis is that biological stability depends on maintaining component autonomy within ranges compatible with higher-order organization. The framework generates comparative predictions concerning endosymbiotic integration, viral latency and domestication, cancer progression, metastasis, conflict suppression, and transmissible malignancy. Its scientific value will depend on whether the proposed autonomy dimensions can be operationalized and shown to improve biological explanation or prediction. The methodological program further specifies domain-relative standardization, data-derived weighting, and measurement-invariance tests to prevent artificial numerical equivalence across biological domains.

Zenodo (CERN European Organization for Nuclear Research)
Bacteriophages and microbial interactions
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