Paper Title: Modulating Plant Ontology and Reproductive Phenology to Re- establish Ecological Synchrony in Anthropogenic Climate in Medicinal Plants

Author:

Nadira Hossain¹
¹Independent Researcher (B.Sc, M.Sc, B.Ed., M.Ed.), West Bengal, India.
DOI Link (Crossref) Prefix: https://doi.org/10.63431/AIJITR/3.I.2026.170-174
AIJITR, Volume 3, Issue –I, January-February, 2026, PP. 170-174
Received on 25th February, 2026 & Accepted on 27th February, 2026,
Published: 28 th February, 2026

Abstract:

Anthropogenic climate change is altering temperature regimes, precipitation patterns, and photoperiodic cues, resulting in significant shifts in plant reproductive timing and anatomical development. In medicinal plants—whose phytochemical profiles, reproductive success, and ecological interactions are tightly regulated by environmental signals—these disruptions pose profound risks to biodiversity, ecosystem services, and pharmaceutical sustainability. Phenological mismatch between plant flowering and pollinator emergence increasingly threatens reproductive efficiency and genetic stability. This article proposes a multidisciplinary framework integrating molecular genetics, epigenetics, and machine learning to modulate plant ontogeny and reproductive phenology. By targeting key flowering regulators such as FT (Flowering Locus T) and FLC (Flowering Locus C), and employing CRISPR-Cas9–based epigenetic modulation alongside predictive phenological modeling, we outline a “Precision Phenology” strategy to re-establish ecological synchrony in medicinal plant systems under changing climatic conditions.

Keywords:Climate Change, Medicinal Plants, Phenological Mismatch, FT Gene, FLC Gene, CRISPR-Cas9, Epigenetics, C3 Plants, C4 Plants, Precision Phenology, Circadian Clock, Machine Learning

DOI Link – https://doi.org/10.63431/AIJITR/3.I.2026.170-174

Review By – Dr. Rajib Sinha and Dr. Chandan Mandal