International Journal of Advancement in Life Sciences Research

A Comprehensive Survey on Models, Architectures, and Performance Metrics for Medicinal Plant Classification Using Machine Learning and Deep Learning Approaches

Abdul Nabi Shaik — 2026-01-16

The exponential growth in multidisciplinary research on medicinal plants has led to a diverse landscape of techniques spanning phytochemical screening, molecular characterization, image-based classification, and machine learning (ML) applications. However, the absence of an integrated, performance-driven comparative review limits the field’s ability to objectively assess methodological reliability, translational efficacy, and future scalability. This study presents a comprehensive review of 80 peer-reviewed papers, systematically evaluating them across eight performance metrics: accuracy, precision, recall, F1-score, IC₅₀, inhibition zone diameter, AUC, and RMSE. Each method—ranging from CNN-based plant classifiers to genome assembly protocols and phytochemical assays—is quantitatively analyzed and contextualized with its strengths, limitations, and domain-specific impact sets. The review includes a robust numerical extraction process, filling knowledge gaps where raw metrics were absent using expert-based approximations. A series of detailed plots, correlation matrices, heatmaps, and trend analyses are presented to reveal cross-domain patterns and identify leading techniques. The main findings indicate that deep learning models such as ECNN-PTL and MobileNet consistently achieve >97% accuracy in plant identification, omics-integrated studies highlight critical gene regulators in metabolic pathways, and phytochemical analyses confirm high antioxidant and antimicrobial efficacy, validating traditional medicinal claims. This work not only benchmarks existing research with empirical rigor but also highlights future scopes, including the need for unified datasets, functional genomics validation, and sustainable pharmacognostic modeling. The findings serve as a blueprint for researchers, bioinformaticians, and policy-makers aiming to integrate biological, computational, and therapeutic objectives in the domain of medicinal plant sciences.

The Protective Role of IL-17 Against Parasitic Infections: A Meta-Analysis Study

Mona Adel Ismail — 2026-01-20

Background: Interleukin-17 (IL-17) has been implicated in protective immune responses against various parasitic infections. Understanding its role may clarify host defense mechanisms and potential therapeutic applications. Aims: This systematic review and meta-analysis aimed to synthesize evidence regarding IL-17 expression, concentration, and functional activity in parasitic diseases. Materials and Methods: Following PRISMA recommendations, an extensive search of major scientific databases was conducted (including PubMed, Scopus, Web of Science, and Embase). Twenty-one articles involving both human participants and animal models were included if they evaluated IL-17 in the context of parasitic infection. Data were analyzed for pooled mean differences, correlations, heterogeneity, and publication bias. Results: Protective immune responses against Toxoplasma gondii, Leishmania spp., Giardia lamblia, Entamoeba histolytica, Schistosoma mansoni, and other parasites were consistently associated with IL-17 activity. The pooled analysis demonstrated a statistically significant mean difference (MD = 1.45, 95% CI: 0.92–1.98, p = 0.002), indicating that elevated IL-17 levels correlated with improved outcomes, including decreased parasitic load and reduced disease severity. Linear regression revealed a significant positive correlation between IL-17 concentrations and host protection (R² = 0.58, p = 0.012). Moderate heterogeneity was observed (I² = 68%), but Egger’s test suggested no major publication bias. Conclusion: This study strengthens the understanding of IL-17 as a pivotal immunological indicator in parasitic diseases. Elevated IL-17 levels are associated with host protection and may represent a promising therapeutic target to enhance resistance against parasitic infections.

Recent Understanding on Genetic and Neurobiological Alterations in Major Depressive Disorder

Laxmi Rani Gupta — 2026-01-20

Major depressive disorder (MDD) is a leading cause of disability worldwide, characterized by persistent low mood, anhedonia and cognitive impairments. Despite advancements in understanding its multifactorial aetiology, treatment outcomes remain inconsistent due to the complex interplay of genetic and neurobiological factors. A systematic review was conducted following PRISMA guidelines using databases including PubMed, Scopus, Web of Science and PsycINFO. Studies from 2000 to 2025 were included if they covered genetic polymorphisms, neurobiological markers or molecular pathways in MDD. Analysis of 87 studies identified 13 key genes and 19 biological markers linked to MDD. Genetic polymorphisms like SLC6A4, TPH2, BDNF Val66Met and FKBP5 influence neurotransmitter synthesis, neuroplasticity and HPA axis regulation. Neurobiological markers including cortisol, BDNF, CRP, IL-6 and serotonin levels exhibit consistent dysregulation in MDD patients. Associations of genetic and biomarker alterations with MDD symptomatology and treatment outcomes are summarized. Through GeneMANIA, we constructed a functional gene interaction network of the selected 13 genes, which exhibits strong functional connectivity through physical interactions (66.18%), co-expression (20.86%) and co-localization (12.97%). In conclusion, MDD arises from multifactorial genetic and neurobiological alterations. The trend towards personalised medicine is supported by a number of genes and biomarkers that exhibit promise as diagnostic and prognostic tools. However, additional meta-analytic and longitudinal research is required to validate these relationships due to the variety in study designs and demographics.

Association of Amniotic Membrane Integrity Upon Antibiotic Treatment on Wound Healing

Hemavathy S. Chandran — 2026-01-20

Introduction: Wound healing is a complex natural process involving numerous mediators following tissue injury. In countries like India, where there is a high prevalence of both acute and chronic wounds, healing chronic wounds presents a significant challenge. Recently, amniotic membranes have become widely used in complex wound healing due to their rich collagen bundles, which contribute to the integrity of the membrane. The richness of collagen bundles may be impacted by the antibiotics used during processing and transportation of the samples. Objectives: This study focuses on the possibility of using amniotic and amnio-chorionic membranes for chronic wound healing without antibiotic treatment. It analyzes the integrity of the membranes with and without antibiotic treatment. Methods: Four sample groups were selected for this study, as shown in Table I, using amniotic and amnio-chorionic membranes. The samples were processed both with and without antibiotics. Results: The presence of rich collagen bundles was analyzed using a universal testing machine to assess membrane integrity. The amniotic and amnio-chorionic membranes processed without antibiotics demonstrated good membrane integrity. Conclusion: High membrane integrity suggests a rich presence of collagen bundles, which leads to faster and higher-quality wound healing.

Simultaneous Assay of Teneligliptin and Pioglitazone in Bulk and Combined Formulations by a Validated RP-HPLC Method

Swarnajeet Tripathy — 2026-01-20

A reverse-phase high-performance liquid chromatography (RP-HPLC) method has been developed to simultaneously determine Teneligliptin and Pioglitazone in their combined dosage form. Both the analytes were separated on a C18 column (4.6x250mm, 5µm) with a mobile phase comprising acetonitrile: 5 mM phosphate buffer (pH 4.8) [65 35 v/v] at a flow rate of 0.5ml/min and PDA detection at 254nm. The method was applied successfully to analyze stressed samples without any interference with the peaks of the primary analytes. The method was validated for various parameters to comply with the ICH Q2(R) requirements. The method is sensitive with a quantitation limit of 2.243 µg/ml and 4.757 µg/ml for Teneligliptin and Pioglitazone, respectively and is suitable for routine quality control of the drugs in pharmaceutical dosage forms.

In silico Identification of Potential Quorum-Sensing Inhibitors Against the AgrA of Staphylococcus aureus

A. Sowmiya — 2026-01-20

AgrA (Accessory gene regulator) plays a crucial role as a regulator in the agr quorum-sensing system by controlling the production of virulence factors, including exotoxins and enzymes involved in the pathogenesis of Staphylococcus aureus. The emergence of resistant strains highlights the urgent need for alternative therapeutic agents. Therefore, in this study, molecular docking of potential phytochemicals was performed against AgrA, followed by the evaluation of pharmacokinetic properties, allergenicity, and toxicity. Binding free energies were predicted using AutoDock Vina 1.5.6. Diosgenin, stigmasterol, hypericin, and betulin exhibited strong binding interactions with critical residues of AgrA, while colchicine, procyanidin B2, and quinine interacted with the transcriptional activation site of AgrA with high binding affinities, forming significant hydrogen bond interactions. The non-toxic, non-allergenic, and favorable pharmacokinetic properties of these compounds suggest that these phytochemicals could be developed into drugs for use in combination with antibiotics as adjuvants or synergists, pending further in vitro and in vivo evaluation.

Assessment of Disease Severity of Mulberry (Morus alba L.) var.S1 Concerning Soil Physiochemical Properties Under Three Districts of West Bengal India

Siraj Monir — 2026-01-20

A study was conducted on the effect of soil health and its consequences on disease severity in popular S1 mulberry variety (Morus alba L.) under three districts Birbhum, Malda, and Murshidabad, West Bengal where sericulture is being practiced since last few decades. The physiochemical properties, like soil pH, EC, OC, and NPK content were measured under the said districts. The soil pH of mulberry fields in Birbhum (72%) were found <6.5, in Malda (84%) within 6.5-7.5, and in Murshidabad (68%) within 6.5-7.5. The soil electrical conductivity (EC) was found to be 0.5 under 88% area in Malda and Murshidabad and 84% area in Birbhum districts, respectively. The soil organic carbon (OC) was found 5 g/kg in Murshidabad and Birbhum districts under 84% and 82% area, respectively. The soil nitrogen was recorded 44 - 445 kg/Ha in Murshidabad under 60% area, whereas in Malda, it varied between 32- 493 kg/Ha under 64% area. The soil phosphorus was recorded 2-204 kg/Ha in Murshidabad under 16% area, whereas in Malda, it varied between 11-81 kg/Ha under 24% area. The soil potassium was recorded 52-985 kg/Ha in Murshidabad under 14% area, whereas in Malda, it varied between 105-832 kg/Ha under 13% area. The soil NPK of Birbhum district was found to be very poor. The highest PDI was recorded in Birbhum of bacterial leaf spot (avg. 11.82%), in Malda, Myrothecium leaf spot (avg. 5.56%) and in Murshidabad, bacterial leaf spot (avg. 8.94%) among all the five diseases studied. Comparatively mulberry leaf rust disease shown less sensitivity with all soil edaphic factors.

Test of Combination of Essential Oils of Betel Leaf, Basil, and Lime as Active Ingredients of Liquid Soap

Maya Uzia Beandrade — 2026-01-20

One natural ingredient with the potential to serve as the primary raw material for skincare cosmetic products is essential oils (EOs). Given the urgency of the issue, efforts must be made to develop essential oil-based cosmetic products, particularly in the form of soap. The purpose of this study is to evaluate the quality of EOs, the physical stability, and the antibacterial activity of liquid soap containing green betel leaf, basil leaf, and lime peel EOs against Staphylococcus aureus and Escherichia coli bacteria. This study follows an experimental design. The samples used in this study were EOs from green betel leaf, basil leaf, and lime peel. The physical stability test of the liquid soap includes organoleptic evaluation, viscosity, pH, and homogeneity. The antibacterial activity test was conducted using the Kirby-Bauer method on liquid soap with the formulas F1 (5%), F2 (10%), and F3 (15%). The results showed that the main components of the EOs in the betel leaf, basil leaf, and lime peel included eugenol, linalool, and limonene. All liquid soap formulas were found to be stable. In the antibacterial test, the average diameter of the inhibition zones for S. aureus was 13.5 mm, 14.5 mm, and 26.7 mm for F1 (5%), F2 (10%), and F3 (15%) formulas, respectively. For E. coli, the inhibition zones measured 6 mm, 6.5 mm, and 8.8 mm. This study concludes that liquid soap formulated with EOs can strongly inhibit the growth of S. aureus, while it moderately inhibits the growth of E. coli.

Fluoride-Induced Hormesis Enhances Cordycepin Production and Upregulates the Transcriptional Expression of its Biosynthesis Genes in Cordyceps militaris

Prashasti Singh — 2026-01-21

Cordyceps militaris is a medicinally valuable fungus known for producing cordycepin (3′-deoxyadenosine), a bioactive compound with anticancer, antioxidant, and immunomodulatory properties. However, its low natural yield limits large-scale commercial production. This study investigated the effects of fluoride-induced hormesis and growth supplements on cordycepin biosynthesis and the transcriptional regulation of key biosynthetic genes in C. militaris fruiting bodies. C. militaris strain 1164 was cultivated on rice-based substrate media supplemented with potassium fluoride (KF, 0.01–1 mM), glycine (500 mg/L), and ascorbic acid (100 mg/L). Cordycepin content was quantified using high-performance liquid chromatography (HPLC), while the expression of nine key genes (RNR, purA, purL, purB, PRPS, NT5E, purC, AMPD, and ADEK) was analyzed using quantitative real-time PCR (qRT-PCR). The results demonstrated that low-dose KF (0.01 mM) significantly enhanced cordycepin production, reaching 65.03 ± 0.73 mg/g dry weight (dwt.), which represents a 69.93% increase compared with the control (38.6 ± 0.15 mg/g dwt.). Glycine and ascorbic acid supplementation also increased cordycepin content to 48.16 ± 0.25 and 61.36 ± 0.41 mg/g dwt., respectively. Gene expression analysis revealed a dose-dependent response, with 0.1 mM KF strongly upregulating purA (6.92-fold), PRPS (4.75-fold), and RNR (3.76-fold). In contrast, 1 mM KF suppressed both gene expression and fungal growth. Glycine and ascorbic acid notably increased RNR expression by 2.5-fold and 2.3-fold, respectively, consistent with the observed enhancement in cordycepin production. This study is the first to demonstrate fluoride-induced hormetic regulation of cordycepin biosynthetic genes. The findings indicate that low-dose KF functions as a metabolic and transcriptional enhancer, providing a novel strategy for optimizing cordycepin production in C. militaris through targeted supplementation approaches.

Formulation and Evaluation of Anti-Acne Moisturizer Containing Rosehip Oil and Persea grastissma Oil against Staphylococcus epidermidis

Nur Aliyya Syakirin Binti Shaharuddin — 2026-01-21

Introduction: Avocado and rosehip oils are examples of oils that can help treat various skin conditions. On the other hand, avocado and rosehip oils are not usually found in the compositions of facial moisturizers. It is frequently used in the formulation process of skin serums. Avocado and rosehip oil possess various beneficial properties, including the treatment of wounds and skin inflammation, reduction of scars, minimization of wrinkles, and treatment of acne. This study aimed to develop and characterize a moisturizing cream formulation utilizing rosehip oil and avocado oil, and to investigate the anti-acne effect of the formulated moisturizer against Staphylococcus epidermidis. Methods: An anti-acne moisturizing cream was formulated using rosehip and avocado oil. The physicochemical properties and the stability of the cream were evaluated. The anti-acne activity of the cream was analyzed using the well diffusion method. Results: The formulations exhibited good physical properties and stability. Although a stable moisturizing cream was formulated, it lacks antibacterial activity against S. epidermidis. Conclusion: In conclusion, integrating rosehip and avocado oils into formulations holds potential for addressing acne, attributed to their antibacterial properties. The absence of antibacterial efficacy against S. epidermidis in the current formulation could be attributed to inadequate bioactive constituents. Therefore, further exploration of the optimal ratio and concentration of rosehip and avocado oil is necessary to maximize their therapeutic benefits in anti-acne formulations.

Exploration of Mesyl Chalcones as Potent Inhibitor of the Proto Oncogene Erbb-2 Proliferation by Using Computational In-silico Approach

B. Lakshminarayanan — 2026-01-21

The discovery of novel drugs was recognized as a convoluted, costly, time-consuming, & demanding process. It was found that more than 10 years and approximately 4 billion INR are required for the finding of a novel medicine through old-fashioned drug development procedures. In the pharmaceutical industry, figuring out how to lower research costs and accelerate the development process of new drugs has become a difficult and pressing question. Computer-aided drug design has become a potent and capable technique for a quicker, less expensive, and more successful approach. Molecular docking is a useful technique for estimating the structure of ligand-protein complexes. Over the past few years, computational tools for drug discovery, including antitumor therapies, have displayed a significant and exceptional power on the design of antitumor drugs. It has been found that chalcones serve as starting materials for the synthesis of a large number of organic compounds, and this moiety has a variety of pharmacological properties, including anticancer activity. The present study aims to identify a new chemical entity of mesyl chalcone as anticancer agents and analyze their binding capacities, Van der Waals potentials, and drug likeness through the molecular docking process. Physicochemical properties were calculated using Molinspiration and Swiss ADMET. The docking study was done on the crystal structure of receptor tyrosine protein kinase ErbB2. The study shown that all the compounds exposed outstanding binding energies in the active sites of the protein and can be considered potent inhibitors of the proto-oncogene ErbB-2 proliferation.

Screening and Profiling of Bioactive Compounds from Moringa Oleifera Fruit Interaction with Advanced Glycation End Product Protein: A Molecular Docking Approach for Anti-Atherosclerosis Candidate Identification

Maria Selvester Thadeus — 2026-01-21

Diabetes mellitus represents a rapidly expanding worldwide health challenge, with estimates suggesting it will impact 643 million adults by 2030, with atherosclerosis representing a primary complication that substantially elevates disease burden and mortality rates. Chronic hyperglycemia compromises vascular equilibrium, resulting in endothelial impairment and atheromatous plaque development, potentially causing fatal thrombotic complications. Advanced glycation end products (AGEs) and their corresponding receptor RAGE are pivotal in diabetic vascular pathology, accelerating atherosclerotic development through both direct and indirect pathways. Moringa oleifera show potential as a natural therapeutic intervention with anti-glycation capabilities, although investigation of active constituents in M. oleifera fruit for RAGE protein inhibition remains insufficient. This study aimed to evaluate the capacity of bioactive compounds from the oleifera fruit to bind with the RAGE protein using computational analysis. The RAGE protein configuration (PDB ID: 3O3U) was retrieved from the RCSB database, while test compounds containing M. oleifera fruit metabolites were obtained from the Phytochem database. Molecular docking analysis was performed using PyRx software with AutoDock Vina. Drug-like characteristics were evaluated through SwissADME and pkCSM platforms, applying Lipinski's criteria. Protein-ligand visualization was performed using Biovia Discovery Studio and PyMol. This study revealed that nine bioactive compounds showed favourable RAGE protein binding with negative Gibbs free energy (-3.3 to -7.7 kcal/mol). Riboflavin demonstrated optimal binding affinity (-7.7 kcal/mol), followed by thiamine (-7.4 kcal/mol) and indole acetonitrile (-7.0 kcal/mol). These compounds established hydrogen bonds with 5-8 essential amino acid residues, resembling native ligand binding patterns. This study shows that riboflavin and thiamine exhibit strong RAGE protein binding affinity, representing promising therapeutic candidates for anti-atherosclerosis treatment targeting AGE-RAGE pathways in diabetic complications. Further studies should further validated using in-vitro, in-vivo, and clinic-based phase trials.

Genetic Variability and Multivariate Analysis of Agro-Morphological Traits in Selected Rice Germplasm (Oryza sativa L.) of India

Bharat Chandra Saha — 2026-01-21

Thirty-six valuable rice germplasm accessions were collected from different regions of West Bengal and evaluated at the experimental farms of The Neotia University, located in the coastal saline zone of West Bengal, India. The mini-core collection is maintained at the university through periodic seed multiplication during the rainy (kharif) season. The accessions were evaluated for twenty-four agro-morphological traits over two consecutive years (2022 and 2023) during the kharif season. The study revealed that two traits—number of tillers (84.488%) and panicles per plant (84.478%)—exhibited the highest heritability, followed by 1000-grain weight (77.627%), days to 50% flowering (74.938%), and panicle length (72.623%). High genotypic coefficient of variation was observed for total yield (42.969%), chaffy grains per panicle (32.656%), leaf area (31.278%), number of tillers per plant (28.621%), 1000-grain weight (27.525%), and filled grains per panicle (27.523%). The highest genetic advance was recorded for total grain number per panicle (68.471%), followed by filled grains per panicle (54.431%). Principal component analysis of the twenty-four traits resulted in eight components with eigenvalues greater than 1. These eight components together accounted for 84.78% of the cumulative variance of the population. The first principal component explained the highest proportion of variance (20.09%), followed by the second (16.67%), third (12.96%), and fourth (10.48%) components. The germplasm bank represents unique traits such as low-input rice, aromatic and non-aromatic fine-grained rice, and micronutrient-rich landraces. This collection, with its diverse and distinctive characteristics, represents a climate-smart gene pool encompassing a broad range of life cycles, enabling adaptation and resilience under unpredictable climatic adversities. The present study successfully identified, integrated, and conserved elite genetic resources that are important for future rice improvement programs.

Eco-Friendly Bioremediation of Textile Azo Dyes Using Microbial Consortia with Phytotoxicity Assessment

Rekha Anantharaman — 2026-01-21

Textile dyeing effluents and in particular, azo dyes are regarded to be among the most recalcitrant environmental pollutants, due to their extremely complex aromatic nature and/or lack of biodegradability. The effluent sample have been taken and identified four bacterial isolates including Bacillus sp., Staphylococcus sp., Vibrio cholerae and Vibrio parahaemolyticus characterised morphologically and biochemically. The most effective bacteria in dye removal were Staphylococcus sp. (89%), against direct dyes contaminated wastewater, and Bacillus sp. (74%) against azo dye-contaminated wastewater among them. The optimization studies revealed the best carbon source to be lactose and sodium nitrate being the best nitrogen source and that the one-factor-at-a-time optimization study revealed the optimum pH to be 7.5 at 35oC -40oC. FTIR analysis also indicated that certain changes must have occurred in structure of the dye molecules after biodegradation giving indication that detoxification has occurred successfully. The results of the phytotoxicity performed on seven different crop species showed that effluents were subjected to treatment with a bacterial consortium had no significant effects on seed germination or root-shoot growth compared to a control as compared to a marked inhibitory effect of untreated effluents on their seed germination and root-shoot development. This study significantly affirms the elimination of textile dye effluents through an intensive multi-crop phytotoxicity screening, demonstrating restoration of seed germination and the effective growth after bacterial consortium treatment.

Design, Development and Characterization of Transdermal Patch of Meclizine for Motion Sickness

Karpagavalli L. — 2026-01-21

The study aimed to develop and characterize a transdermal patch of meclizine for the treatment of motion sickness. Eight formulations were prepared and evaluated for drug content, thickness, weight variation, folding endurance, in vitro drug release, and patch adhesion. Among all formulations, MTP8 demonstrated superior performance, showing the highest drug content (99.5%), thickness (0.30 mm), weight variation (1.7%), folding endurance (335), in vitro drug release at 24 hours (71%), and patch adhesion (1.1 N/cm²). The findings suggest that MTP8 may be a promising candidate for a meclizine transdermal patch for motion sickness. Its high drug content and sustained drug release profile indicate potential for consistent and effective drug delivery. In addition, the patch’s mechanical strength and adhesion properties suggest good durability and reliable skin adherence. Further studies, including in vivo evaluations, are warranted to confirm these results and to assess the safety and efficacy of the patch in clinical settings. In conclusion, MTP8 shows considerable potential as a transdermal patch for motion sickness, offering advantages in drug content, drug release, and overall patch characteristics. Future research should focus on optimizing the formulation and conducting clinical trials to validate its effectiveness and safety in the treatment of motion sickness.

Isolation and Polyphasic Identification of Hydrolytic Bacterial Communities as a Prospective Bio-remediation Agents for the Waters of River Yamuna

Mansi Mahajan — 2026-01-21

Nine isolates of indigenous hydrolytic bacteria with potential as bioremediation agents for the polluted water of river Yamuna, namely Klebsiella pneumoniae, Enterococcus faecium, Aeromonas veronii, Providencia stuartii, Aeromonas veronii, Bacillus sp., E. coli, Bacillus altitudinis, Pseudomonas azotoformans, were obtained by using procedures of isolation, selection and molecular identification by polymerase chain reaction targeting 16s rRNA gene. These bacteria were initially isolated on Nutrient Agar (NA) media and further selection of bacteria was done through hydrolysis tests on Skimmed Milk Agar (SMA), Starch Agar, Tween Agar, CMC and cellulose media as well as hemolysis test for pathogenicity on Blood Agar Plate (BAP). Finally, the isolates were molecularly identified. Bioremediation prospects for river Yamuna have been analyzed.

Impact of Limnological Variables on Waterbird Assemblage in a Tropical Lentic Ecosystem of Southern West Bengal, India

Santanu Debnath — 2026-01-22

Birds are well-known bio-indicators, because of their high sensitivity to even slight changes in their surroundings. Therefore, documentation of waterbird assemblage in a water body can be a part of wetland monitoring from a sustainability perspective. The present study was carried out in Hansadanga beel (an ox-bow lake of Gangetic alluvial plain) of southern West Bengal (India) from January 2023 to December 2023 to assess the impact of limnological variables on waterbird assemblage. 35 different waterbird species from 11 families were identified from the study area, out of which 16 species (45.71%) were winter-migrants, 15 species (42.86%) were resident and 4 species (11.43%) were local-migrants. Ardeidae was the dominant family with highest Relative Diversity Index (RD_i=20) followed by Anatidae (RD_i=17.14). The maximum values of different diversity indices were observed in post-monsoon months due to the assemblage of winter-migrants and its lower values were recorded from summer months. Canonical correspondence analysis revealed that among the eight limnological variables, pH, total alkalinity, and nutrient levels best explained the variance in waterbird assemblages. Even though the study area has been impacted by a number of anthropogenic activities, it is still preferred by a variety of waterbird species, including winter-migrants. Hence, regular monitoring of avifauna and the environmental health by local or state authorities, through integrated management programs, will be beneficial for sustaining habitat growth.