Hydro-Genetic Dynamics: Fluvial Corridors as Selective Sorting Vectors and Channels for Geogenetic Evolution in the Bengal Basin and Himalayan Foothills

Overview & Summary This manuscript introduces the paradigm of Geogenetic Evolution to challenge standard isotropic, flat-plane diffusion models in human landscape genetics. By employing a mechanical sieve heuristic, the study models how active, deep-time river dynamics, deltaic land formation, and paleochannel avulsions dictate long-term human settlement, enforce regional endogamy, and structure paternal genetic lineages across centuries. Focusing on the northern sub-continental alluvial plain ("Green Zone" axis), the radiating catchments of the Himalayan foothills, and the hyper-alluvial Ganges–Brahmaputra delta (Bengal Basin), this research integrates macro-scale continental drainage analysis with high-resolution deltaic distributary modeling. Published empirical Y-DNA frequency data (Haplogroups H, P/R1a, and O) are spatially mapped onto ancestral river networks and correlated with classical ethnonyms and historical geography (such as Gangaridai, Vanga, Pundra, Suhma, and Harikela). Key Highlights & Findings Macro-Scale Alternating Columns: Parallel river networks exiting the Hindu Kush-Himalayan (HKH) mass organize expanding human streams into alternating, longitudinal genetic corridors (e.g., sub-continental P/R1a vs. trans-Himalayan O). Micro-Scale Sorting (Varendra Sieve Network): Elevated clay uplands (Barind Tract) and intersecting floodplains in North Bengal act as a sorting grid, partitioning the indigenous baseline (Haplogroup H) and incoming western riverine lineages (P/R1a) via distinct channels (Mahananda, Teesta–Karatoya, and the Baral River transverse conduit). Central Micro-Fractal Layout: Parallel deltaic rivers near central Bengal (Sitalakhya, Buriganga, Dhaleswari) act as strict socio-ecological troughs, preserving distinct population sub-structures over short physical distances. Tripartite Deltaic Symmetry: Lower Bengal forms a symmetrical "genetic sandwich"—a central southern H-spine (Old Brahmaputra–Tetulia axis) flanked by western (Mahananda–Hooghly) and eastern (Surma–Kushiyara/Chittagong) P-lineage wings. Historical Geography Synthesis: Ancient kingdom boundaries recorded in classical Puranic, epigraphic, and Greco-Roman texts align directly with deep-time hydro-geographic boundaries rather than arbitrary borders. Empirical Data Gaps: Identifies targeted, unstudied coastal estuarine zones (Lower Tetulia axis, Meghna Estuary) and provides testable predictions for future micro-evolutionary and ancient DNA (aDNA) sampling.

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Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-25
DOI
https://doi.org/10.5281/zenodo.21545897
Primary Topic
Geological formations and processes
Type
article
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article

Hydro-Genetic Dynamics: Fluvial Corridors as Selective Sorting Vectors and Channels for Geogenetic Evolution in the Bengal Basin and Himalayan Foothills

Yasir Arafat Maassoom
Zenodo (CERN European Organization for Nuclear Research)
Geological formations and processes
article

Hydro-Genetic Dynamics: Fluvial Corridors as Selective Sorting Vectors and Channels for Geogenetic Evolution in the Bengal Basin and Himalayan Foothills

Yasir Arafat Maassoom
article en

Abstract

Overview & Summary This manuscript introduces the paradigm of Geogenetic Evolution to challenge standard isotropic, flat-plane diffusion models in human landscape genetics. By employing a mechanical sieve heuristic, the study models how active, deep-time river dynamics, deltaic land formation, and paleochannel avulsions dictate long-term human settlement, enforce regional endogamy, and structure paternal genetic lineages across centuries. Focusing on the northern sub-continental alluvial plain ("Green Zone" axis), the radiating catchments of the Himalayan foothills, and the hyper-alluvial Ganges–Brahmaputra delta (Bengal Basin), this research integrates macro-scale continental drainage analysis with high-resolution deltaic distributary modeling. Published empirical Y-DNA frequency data (Haplogroups H, P/R1a, and O) are spatially mapped onto ancestral river networks and correlated with classical ethnonyms and historical geography (such as Gangaridai, Vanga, Pundra, Suhma, and Harikela). Key Highlights & Findings Macro-Scale Alternating Columns: Parallel river networks exiting the Hindu Kush-Himalayan (HKH) mass organize expanding human streams into alternating, longitudinal genetic corridors (e.g., sub-continental P/R1a vs. trans-Himalayan O). Micro-Scale Sorting (Varendra Sieve Network): Elevated clay uplands (Barind Tract) and intersecting floodplains in North Bengal act as a sorting grid, partitioning the indigenous baseline (Haplogroup H) and incoming western riverine lineages (P/R1a) via distinct channels (Mahananda, Teesta–Karatoya, and the Baral River transverse conduit). Central Micro-Fractal Layout: Parallel deltaic rivers near central Bengal (Sitalakhya, Buriganga, Dhaleswari) act as strict socio-ecological troughs, preserving distinct population sub-structures over short physical distances. Tripartite Deltaic Symmetry: Lower Bengal forms a symmetrical "genetic sandwich"—a central southern H-spine (Old Brahmaputra–Tetulia axis) flanked by western (Mahananda–Hooghly) and eastern (Surma–Kushiyara/Chittagong) P-lineage wings. Historical Geography Synthesis: Ancient kingdom boundaries recorded in classical Puranic, epigraphic, and Greco-Roman texts align directly with deep-time hydro-geographic boundaries rather than arbitrary borders. Empirical Data Gaps: Identifies targeted, unstudied coastal estuarine zones (Lower Tetulia axis, Meghna Estuary) and provides testable predictions for future micro-evolutionary and ancient DNA (aDNA) sampling.

Zenodo (CERN European Organization for Nuclear Research)
University of Chittagong (BD), University of Science and Technology Chittagong (BD)
Life in Land
Openalex Percentile: Top 10%
Geological formations and processes
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