Abeer Al-Andal

Scopus Publications

Integrating environmental variables and biotic interactions to predict the future distribution of the endangered Aconitum heterophyllum Wall. ex Royle
Syed Waseem Gillani, Mushtaq Ahmad, Muhammad Manzoor, Abeer Al-Andal, Raja Waqar Ahmed Khan, John Oluwafemi Ayoola, Muhammad Waheed
BMC Plant Biology, 2026
Human activities and climate change accelerate habitat loss and fragmentation, threatening medicinal plants and rare species that play important roles in maintaining ecosystem balance. However, the lack of comprehensive and reliable data on their spatial distribution has restricted effective conservation management efforts. This study provides a comprehensive ecological assessment of the endangered high-altitude medicinal plant Aconitum heterophyllum, examining its ecological interactions, environmental drivers, and projected distribution under climate change in Azad Jammu and Kashmir, Pakistan. A total of 129 plant taxa comprising 46 families were recorded from all sampling plots with Asteraceae, Ranunculaceae, and Polygonaceae being dominant. The most common life form was herb (88.37%), hemicryptophytes (57.36%) and microphylls (55.81%), which is an indication of the ecological niche of cold and alpine conditions. Hierarchical clustering and indicator species analysis grouped the sites in three specific plant communities, namely, Abies pindrow-Viburnum grandiflorum-Achillea millefolium (AVA), Swertia petiolataIris-Iris kashmiriana-Potentilla nepalensis (SIP), and Pedicularis pectinate-Juncus himalensis-Parnassia nubicola (PJP). SIP plots located at mid-altitudes (2900-3100 m) showed the highest abundance of A. heterophyllum, whereas AVA (lower altitudes) and PJP (higher altitudes) exhibited moderate to low abundance. Non-metric Multidimensional Scaling (NMDS) and beta-diversity analyses confirmed significant floristic turnover among associations, with the PJP group displaying greater internal heterogeneity. Canonical Correspondence Analysis (CCA) identified altitude as the most influential variable (pseudo-F = 9.0, p = 0.002), strongly shaping the composition of associated plant communities. A generalized linear model (GLM) demonstrated a significant negative relationship between A. heterophyllum abundance and altitude (p = 0.0089), confirming a mid-altitude ecological optimum. Species distribution modeling using MaxEnt (AUC = 0.996) identified summer temperature (bio5) and precipitation (bio18) as the dominant climatic constraints. Currently suitable habitats are narrowly distributed above 2700 m. Future projections suggest limited upslope shifts under SSP-245, whereas SSP-585 indicates substantial altitudinal and latitudinal expansion. However, increased fragmentation and thermal stress may threaten population stability. These findings highlights the species' ecological specialization and vulnerability to climate change, emphasizing the need for integrated conservation strategies combining current ecological baselines, topographic mapping, and forward-looking climatic risk assessment.
Carbon sequestration and credit potential of native and non-native monoculture plantations in a subtropical irrigated forest
Muhammad Waheed, Shiekh Marifatul Haq, Abeer Al-Andal, Fahim Arshad, Muhammad Iqbal
Biomass and Bioenergy, 2026
Plastome phylogenomics of egyptian barley: evolution, mutational landscapes, and DNA barcoding
Abeer Al-Andal
Euphytica, 2026
This study leveraged plastome genomics to resolve the evolutionary relationships and clarify the phylogenetic structure among six Egyptian domesticated barley cultivars ( Hordeum vulgare subsp. vulgare , Thell.) and their wild progenitor ( H. vulgare subsp. spontaneum , K. Koch). Complete chloroplast genomes ranging from 136,460 to 136,462 bp were assembled using NOVOPlasty and subjected to comparative genomic analyses encompassing single nucleotide polymorphism (SNP) profiling, simple sequence repeat (SSR) characterization, codon usage bias assessment, and phylogenetic reconstruction. Maximum likelihood phylogenetic reconstruction identified a well-defined evolutionary framework, highlighting the emergence of two discrete lineage divergences among the taxa under investigation, with cultivar G130 exhibiting phylogenetic congruence with the reference plastome (NC_056985.1), while all remaining genotypes constituted a discrete monophyletic assemblage encompassing five domesticated cultivars and the wild subspecies. Chloroplast genomes from six Egyptian barley cultivars and their wild ancestor were examined at 23 loci. Most genotypes showed high heteroplasmy (mean 0.988–0.990, median > 0.998), indicating allelic diversity, while G130 had only three variable sites and near-complete homoplasmy, reflecting plastome uniformity. Relative synonymous codon usage (RSCU) profiling revealed conservation of AT-rich codon preferences between wild and domesticated lineages, reflecting fundamental translational constraints transcending domestication processes. Comparative assessment of three canonical chloroplast barcode markers ( trnL , matK , rbcL ) demonstrated phylogenetic discrimination capacity of trnL sequences (2377 bp), exhibiting the most extensive chromatic diversification patterns. The systematic identification of cultivar-specific molecular markers provides essential tools for barley authentication and quality control applications. This investigation furnishes insights into chloroplast genome evolutionary dynamics throughout the domestication continuum, establishing robust frameworks for optimizing Egyptian barley breeding strategies and germplasm utilization while contributing fundamental knowledge to cereal crop phylogenomics and agricultural genomics applications. (269 words).
Plastome diversity and phylogenetic insights among modern Egyptian wheat cultivars: Genome-Wide and Gene-Level perspectives
Abeer Al-Andal
BMC Plant Biology, 2025
This study presents a genome-wide and gene-level characterization of plastome diversity and phylogenetic relationships among ten modern Egyptian wheat cultivars, representing both hexaploid and tetraploid lineages. Raw sequencing data for all cultivars were retrieved from NCBI BioProject PRJNA1290394, and plastome assemblies were generated using the published wheat chloroplast genome (GenBank accession MW889057.1) as the seed reference under default settings. Comprehensive plastome sequencing revealed an exceptionally conserved genome structure and gene content across cultivars, yet identified distinct mutation hotspots, with the rps2 gene exhibiting the highest single-gene SNP burden (up to 21 SNPs in cultivar Sahel 1). SNP profiling demonstrated clear differentiation between genetically divergent cultivars such as Sahel 1 and GMZ9, and documented variation in overall mutational load-ranging from 7 to 74 SNPs per cultivar-mirroring phylogenetic clade structure. Chloroplast heteroplasmy analysis uncovered cultivar-specific genome stability patterns, informing breeding decisions and highlighting cytoplasmic diversity. SSR motif analysis confirmed predominant AT-rich homopolymers and subtle motif-length differences distinguishing tetraploid and hexaploid genotypes. Codon usage analysis showed a highly conserved AT-bias and effective translational optimization across ploidy levels. Phylogenetic reconstruction using complete plastome sequences resolved finer relationships than gene-based approaches, while matK emerged as a superior biomarker for distinguishing Poaceae lineages. mVISTA comparison revealed conserved plastome structure with divergence hotspots at atpH-atpI and atpA regions, underscoring their value as potential molecular markers for phylogenetic and barcoding applications. Taken together, these findings provide deep insights into plastome-driven genetic diversity, robust cultivar identification, and the evolutionary context for Egyptian wheat breeding and conservation programs. (253 words).
Altitudinal gradients shaping tree diversity and regeneration dynamics in mountainous ecosystems
Syed Waseem Gillani, Mushtaq Ahmad, Muhammad Manzoor, Muhammad Waheed, Abeer Al-Andal, Beatrice Ambo Fonge
BMC Plant Biology, 2025
Background Himalayan forests are crucial for ecological roles but face threats from natural and human factors. This study examines tree diversity, regeneration patterns, and human-induced threats in the Kashmir Western Himalayas. We use indices and multivariate analysis to investigate species richness, composition shifts, and the impact of ongoing anthropogenic threats on forest ecosystems. Methods Vegetation sampling was conducted at 45 sites in the Kashmir Himalayas, at elevations of 600 to 3600 m. Data were collected using quadrat methods. To investigate species diversity, composition, and human influences, statistical analyses such as Shannon and Simpson indices, Non-metric multidimensional scaling (nMDS), Principal Component Analysis (PCA), Canonical Correspondence Analysis (CCA), and regression models were performed using R software and OriginPro. Results A total of 33 tree species were recorded in different ecological zones: the temperate zone had the most species (22), followed by the subtropical zone (16) and the subalpine zone (7). The temperate zone had the highest Shannon index (2.15 ± 0.24) and Simpson index (0.86 ± 0.03), while the subalpine zone had the lowest Simpson index (0.48 ± 0.20). The subtropical zone had the highest evenness index (0.95 ± 0.04). PCA showed that PC1 explained 37.2% of the variation and PC2 explained 14.9%. Human-induced disturbances were significant drivers of species composition shifts, particularly in the subtropical and temperate zones, accounting for 11% of the variation. Picea smithiana had the highest density in the temperate zone (615.62 individuals per hectare). The regression analysis indicated a quadratic relationship between tree density and DBH (R² values from 0.66641 to 0.92089). Regeneration patterns varied: Pinus roxburghii had high seedling density in the subtropical zone, while Abies pindrow and Pinus wallichiana regenerated well in the temperate zone, and recruitment was limited in the subalpine zone. Conclusion Elevation significantly influences on tree diversity and regeneration patterns, while human-induced factors shape species composition. Anthropogenic activities notably affect tree diversity, especially at lower elevations, thereby threatening ecosystem resilience. This study emphasizes the necessity of sustainable forest management practices to mitigate human impacts and promote forest regeneration, particularly in subtropical and temperate zones.
Population dynamics, threat assessment, and conservation strategies for critically endangered Meconopsis aculeata in alpine zone
Muhammad Manzoor, Mushtaq Ahmad, Syed Waseem Gillani, Muhammad Waheed, Hamayun Shaheen, Abdul Basit Mehmood, Beatrice Ambo Fonge, Abeer Al-Andal
BMC Plant Biology, 2025
BACKGROUND: The Himalayan alpine zone harbors a rich diversity of endemic medicinal plant species, such as Meconopsis aculeata, due to its habitat heterogeneity. Globally, alpine environments are most significantly affected by climate change, characterized by low temperatures and restricted growing seasons, offering essential services yet remaining most vulnerable. M. aculeata holds immense ecological significance in alpine ecosystems, while human disturbances and climate change pose serious threats to its long-term viability. The present study was conducted to explore population ecology, spatial distribution patterns, significant threats, diversity patterns along elevational gradients, and future conservation strategies for the dwindling populations of M. aculeata. METHODS: Field sampling was carried out from 2022 to 2024 in various districts of Kashmir to examine the vegetation characteristics of M. aculeata populations, along with the geographic variables and threats impacting these populations. The quadrat method was used to investigate the vegetation characteristics across an extensive elevational gradient, ranging from 3000 m to 4600 m. RESULTS: Healthier M. aculeata populations were found in the middle elevational range of 3700 m to 4100 m. The SIMPER analysis revealed an overall average dissimilarity of 80.08, indicating spatial variability in species composition across the studied sites. GIS analysis showed that M. aculeata was found on the north aspect, with steppe slope in rocky habitat. The average herb density was calculated to be 20.6/ha, while 60% of sampled sites experienced intense grazing. A total of 20 indicator species were identified as associated with M. aculeata populations. Mantel tests identified key species influencing the population structure of M. aculeata. Aconitum heterophyllum (R = 0.7954, P = 0.003) was found to be the most critical indicator species, followed by Anaphalis nepalensis (R = 0.6564, P = 0.034), and Bistorta affinis (R = 0.522, P = 0.044). CCA analysis identified NTFP extraction, grazing and fire as serious threats for the sustainability of M. aculeata populations. Alpha diversity results highlight significant altitudinal influences on the diversity metrics of M. aculeata populations. Beta diversity results indicate that Site 8 exhibited substantial differences in species composition compared to other sites, while Sites 1 and 9 highlighted the spatial heterogeneity within the M. aculeata populations. As this species is already classified as a critically endangered species, we recommend implementing effective conservation measures such as habitat restoration, sustainable harvesting practices, involving local communities, and promoting stewardship. These initiatives will encourage sustainable management of the species in the region. CLINICAL TRIAL NUMBER: Not applicable.
A data-driven approach to forest health assessment through multivariate analysis and machine learning techniques
Raja Waqar Ahmed Khan, Hamayun Shaheen, Muhammad Ejaz Ul Islam Dar, Tariq Habib, Muhammad Manzoor, Syed Waseem Gillani, Abeer Al-Andal, John Oluwafemi Ayoola, Muhammad Waheed
BMC Plant Biology, 2025
BACKGROUND: Himalayan forests are fragile, rich in biodiversity, and face increasing threats from anthropogenic pressures and climate change. Assessing their health is critical for sustainable forest management. This study integrated ecological indicators (tree density, size, regeneration, deforestation, slope, grazing, and erosion) with machine learning (ML) to classify forest health and identify key drivers across 37 Western Himalayan sites. Principal component analysis (PCA) reduced data dimensionality, highlighting major ecological gradients. K-means clustering was used to group forests into three distinct classes based on ecological characteristics, due to its efficiency in identifying natural patterns within multivariate data. ML models, including Decision Tree (DT), Random Forest (RF), and Support Vector Machine (SVM) were trained and validated using an 80:20 train-test split and 5-fold cross-validation. RESULTS: ) indicated uneven human impact. Among ML models, RF showed the best performance with a mean accuracy of 0.83, Kappa 0.87, and balanced accuracy 0.88. SVM followed with 0.75 accuracy, Kappa 0.70, and balanced accuracy 0.81. DT performed lowest with 0.66 accuracy and Kappa 0.45. Cross-validation confirmed RF's highest mean accuracy (90.3%), followed by SVM (88.1%) and DT (65.1%). RF-based feature importance analysis showed tree DBH, height, regeneration rate, soil erosion, and tree density as key ecological drivers of forest health. CONCLUSIONS: This study highlights ML-driven classification as a precise, scalable, and objective tool for large-scale forest health assessments. Conservation efforts should prioritize degraded forests through afforestation, slope stabilization, controlled grazing, erosion management, and continuous ecosystem monitoring. Future studies should integrate high-resolution remote sensing (e.g., Landsat, Sentinel-2) and climate datasets (e.g., temperature, precipitation, and drought indices) to enhance predictive capabilities and support long-term forest management planning. The findings underscore the value of data-driven approaches, establishing machine learning as an effective tool to enhance forest monitoring and support evidence-based forest conservation and management in the Himalayas.
Synergizing population structure, habitat preferences, and ecological drivers for conservation of Cedrus deodara
Syed Waseem Gillani, Mushtaq Ahmad, Muhammad Manzoor, Muhammad Waheed, Andreas Tribsch, Hamayun Shaheen, Abdul Basit Mehmood, Beatrice Ambo Fonge, Abeer Al-Andal
BMC Plant Biology, 2025
Climate change is impacting forest tree species adversely and making the ecological system vulnerable. The Himalayan cedar (Cedrus deodara), a keystone species in Western Himalayan forests, plays an important ecological role but is under increasing threats from natural and anthropogenic pressures. The current study analyses the population structure, spatial distribution, environmental factors, and future conservation strategies for Himalayan cedar populations in the Kashmir Himalayas. Field sampling was carried out between 2023 and 2024 in various districts of the Kashmir Himalayas. The quadrat method was used to record the vegetation data across an elevational gradient ranging from 1300 to 2700 m. GIS and spatial analysis were used to map population distribution while, cluster analysis was performed to identify species associations. Canonical Correspondence Analysis (CCA) was applied to identify the influence of environmental factors while, Non-Metric Multidimensional Scaling (NMDS) and SIMPER analysis were used to investigate inter-association dissimilarity. The populations showed an average stem density of 110.73 trees/ha and low regeneration rates, with just 15 seedlings per ha on average. Stump density (mean: 90.62 stumps/ha) demonstrated human-induced pressures. GIS and spatial analysis revealed that Cedar populations were mostly found at altitudes ranging from 1900 to 2200 m, with a preference for north-facing slopes. Cluster analysis identified four distinct species associations in which each with a different species richness and ecological composition. Association 3 was the most diverse (Shannon index: 3.31 ± 0.05), while Association 4 showed the highest dominance (0.062 ± 0.002). Canonical Correspondence Analysis (CCA) identified altitude and timber extraction as the key drivers of variation, accounting for 16.2% and 15.2% of the distribution variance, respectively. Grazing, erosion, and fire accelerated the degradation of habitat. Cedar density was influenced by various edaphic parameters, with total nitrogen (R2 = 0.11) and soil moisture (R2 = 0.09) demonstrating the strongest association. Soil pH, electrical conductivity, and total phosphorus exhibited minimal or negligible effects. Associations 1 and 2 were associated with increased soil pH and electrical conductivity, but Associations 3 and 4 were influenced more by nutrient-rich and moisture-retentive soils. Non-Metric Multidimensional Scaling (NMDS) and SIMPER analysis identified a 56.99% dissimilarity between associations, mostly driven by species such as Parrotiopsis jacquemontiana and Viburnum grandiflorum. The study reveals that Himalayan cedar populations in the Kashmir Himalayas face low regeneration rates and significant anthropogenic pressure. Their distribution is influenced by various factors, including altitude, timber extraction, soil nitrogen, moisture, grazing, erosion, and fire. These findings highlight the necessity for targeted conservation strategies. Future conservation strategies should encompass controlled grazing, regulated timber extraction, soil conservation measures, anti-logging policies, ecotourism initiatives, and collaboration among local communities and policymakers.
Habitat-driven variability in morphological and anatomical traits of Dactyloctenium aegyptium (Poaceae) in semi-arid regions
Naila Mukhtar, Muhammad Waheed, Fahim Arshad, Nidaa Harun, Uzma Amin, Shaheena Umbreen, Abeer Al-Andal, Valisher Sapayev, Malokhat Saidmuratova, Abdul Rahman Osmani, Marina Taheri
BMC Plant Biology, 2025
BACKGROUND: The ability of Dactyloctenium aegyptium (L.) Willd. to adapt to diverse habitats reflects its remarkable ecological plasticity. METHODS: This study investigates the morphological and anatomical traits of D. aegyptium across six distinct habitat types in semi-arid regions, which vary in moisture availability, soil texture, and levels of disturbance. We used one-way ANOVA and Principal Component Analysis (PCA) to evaluate habitat-driven differences and identify key patterns of trait variation. RESULTS: We found significant habitat-induced differences in morphological traits such as stem length, root length, leaf length, and plant biomass. Stem length and diameter peaked in sandy and canal bank habitats, while abandoned land exhibited the lowest values. Leaf length was highest in canal bank habitats and lowest in abandoned land. Sandy places supported the highest biomass, reflecting optimal growth conditions, while abandoned land recorded minimal biomass. Anatomical traits displayed habitat-specific adaptations, with roadside habitats exhibiting the thickest root epidermis and sandy places showing the highest endodermis thickness. Leaf anatomical features such as vascular bundle dimensions and bulliform cell density varied significantly, reflecting adaptations to environmental stresses. PCA revealed that plant traits clustered according to habitat type, with traits such as stem length, leaf size, and biomass associated with resource-rich habitats like roadside and agricultural land, indicating habitat-driven differentiation and adaptive plasticity. CONCLUSION: These findings highlight the strong relationship between habitat variability and morphological and anatomical plasticity in D. aegyptium, providing insights into its adaptive strategies in semi-arid regions. This study contributes to understanding the ecological resilience of grass species under varying environmental conditions and highlights the importance of habitat-driven plasticity in shaping plant traits.
Comprehensive analysis of orthologous genes reveals functional dynamics and energy metabolism in the rhizospheric microbiome of Moringa oleifera
Fatmah O. Sefrji, Aala A. Abulfaraj, Fatimah M. Alshehrei, Abeer Al-Andal, Alaa A. Alnahari, Manal Tashkandi, Lina Baz, Aminah A. Barqawi, Abeer M. Almutrafy, Sahar A. Alshareef, Shaza N. Alkhatib, Haneen W. Abuauf, Rewaa S. Jalal, Abeer S. Aloufi
Functional and Integrative Genomics, 2025
Moringa oleifera, known for its nutritional and therapeutic properties, exhibits a complex relationship with its rhizospheric soil microbiome. This study aimed to elucidate the microbiome's structural composition, molecular functions, and its role in plant growth by integrating Clusters of Orthologous Genes (COG) analysis with enzymatic functions previously identified through KEGG, CAZy, and CARD databases. Metagenomic sequencing and bioinformatics analysis were performed from the rhizospheric soil microbiome of M. oleifera collected from the Mecca district in Saudi Arabia. The analysis revealed a role for the rhizospheric microbiome in energy production, storage, and regulation, with glucose serving as a crucial precursor for NADH synthesis and subsequent ATP production via oxidative phosphorylation. Key orthologous genes (OGs) implicated in this process include NuoD, NuoH, NuoM, NuoN, NuoL, atpA, QcrB/PetB, and AccC. Additionally, OGs involved in ATP hydrolysis, such as ClpP, EntF, YopO, and AtoC, were identified. Taxonomic analysis highlighted Actinobacteria and Proteobacteria as the predominant phyla, with enriched genera including Blastococcus, Nocardioides, Streptomyces, Microvirga, Sphingomonas, and Massilia, correlating with specific OGs involved in ATP hydrolysis. This study provides insights into the molecular mechanisms underpinning plant-microbe interactions and highlights the multifaceted roles of ATP-dependent processes in the rhizosphere. Further research is recommended to explore the potential applications of these findings in sustainable agriculture and ecosystem management.
Morphological and chemotaxonomical characterization of some species of the genus Euphorbia L. in Jazan region, KSA
Yehia Hazzazi, Mari Sumayli, A. El-Shabasy, Abeer Al-Andal, Uzma Hanif, Asmaa Khamis, Emad Abada, Sameh R. Elgogary, Taha A. I. El-Bassossy, Ahmed A. M. Abdelgawad
Plos One, 2025
Native plantations foster phylogenetic cohesion while nonnative plantations promote higher species turnover in understory vegetation in subtropical managed forest
Shoaib Ilyas, Sehrish Sadia, Mr Nadeem, Abeer Al-Andal, Asma Jabeen, Fahim Arshad, Sanaullah Sattar, Zarafshan Abbas, Muhammad Waheed
Journal of Environmental Management, 2025
Functional trait variability and adaptive strategies of Genus Carex along the elevation gradients
Muhammad Waheed, Fahim Arshad, Muhammad Manzoor, Syed Waseem Gillani, Abeer Al-Andal, Kaniz Fatima
Flora Morphology Distribution Functional Ecology of Plants, 2025
Physiological and biochemical adaptations of Plectranthus amboinicus under severe cadmium and lead contamination
Asmaa M. Radwan, Abeer Al-Andal, Abeer S. Meganid, Hend A. EL-Khawaga, Inas M. Abou El-Enain, Mervat Z. Elliethy, Abeer E. Mustafa
South African Journal of Botany, 2025
Trait plasticity and invasion success of Ageratum conyzoides in subtropical urban landscapes
Muhammad Waheed, Fahim Arshad, David M. Richardson, Abeer Al-Andal, Kaniz Fatima
Urban Ecosystems, 2025
Optimizing agroforestry systems through traditional ecological knowledge: a sustainable model for tree species selection in semi-arid lowland region
Muhammad Waheed, Fahim Arshad, Kaniz Fatima, Asma Jabeen, Abeer Al-Andal, Abdullayev Abdulla Fayzulla Ugli, Baxtigul Nurullayeva, Oygul Khujaniyozova
Agroforestry Systems, 2025
Corrigendum to: Enriched enzymes and crosstalking KEGG pathways in the rhizospheric soil fungiome of the wild plant Moringa oleifera
Rewaa S. Jalal, Abeer S. Aloufi, Abeer Al-Andal, Nahaa M. Alotaibi, Haneen W. Abuauf, Fatimah M. Alshehrei, Mohammed Y. Refai, Sahar A. Alshareef, Alaa A. Alnahari, Fatmah O. Sefrji, Abeer M. Almutrafy, Aala A. Abulfaraj
Functional Plant Biology Fpb, 2025
Enriched enzymes and crosstalking KEGG pathways in the rhizospheric soil fungiome of the wild plant Moringa oleifera
Rewaa S. Jalal, Abeer S. Aloufi, Abeer Al-Andal, Nahaa M. Alotaibi, Haneen W. Abuauf, Fatimah M. Alshehrei, Mohammed Y. Refai, Sahar A. Alshareef, Alaa A. Alnahari, Fatmah O. Sefrji, Abeer M. Almutrafy, Aala A. Abulfaraj
Functional Plant Biology, 2025
Unraveling the genetic diversity and evolutionary lineages of Catharanthus roseus cultivars through plastome analysis and DNA barcoding
Abeer Al-Andal
Crop and Pasture Science, 2025
Regulation of alternative splicing in Catharanthus roseus in response to methyl jasmonate modulation during development and stress resilience
Aala A. Abulfaraj, Abeer Al-Andal
Functional Plant Biology, 2025
Allelopathic pathways and impacts of Chenopodium species via leachates, decaying residues, and essential oils
Abeer Al-Andal, Asmaa M. Radwan, AbdElRaheim M. Donia, Mohamed A. Balah
Plos One, 2025
From Ecological Niche to Conservation Planning; Climate-Driven Range Dynamics of Ephedra intermedia in Central Asia
Muhammad Waheed, Fahim Arshad, Sehrish Sadia, Beatrice Ambo Fonge, Abeer Al‐Andal, Asma Jabeen, Shalom Dilshad
Ecology and Evolution, 2025
Adaptive floristic diversity and ecological responses to environmental gradients in the saline soil ecosystem
Sehrish Sadia, Muhammad Waheed, Fahim Arshad, Abeer Al-Andal, Mubashrah Munir, Asma Jabeen, Samreen Aslam
Journal for Nature Conservation, 2025
Melatonin induces drought stress tolerance by regulating the physiological mechanisms, antioxidant enzymes, and leaf structural modifications in Rosa centifolia L
Muhammad Ahsan, Adnan Younis, Aftab Jamal, Mohammed O. Alshaharni, Uthman Balgith Algopishi, Abeer Al-Andal, Mateen Sajid, Muhammad Naeem, Jawad Ahmad Khan, Emanuele Radicetti, Mohammad Valipour, Gulzar Akhtar
Heliyon, 2025
Comparative analysis of chloroplast genomes in Commiphora gileadensis from Saudi Arabia and Oman reveal evolutionary genetic divergence
Abeer Al-Andal
Cogent Food and Agriculture, 2025
A three-sided story: a biosystematic revision of genus Datura reveals novel tropane alkaloids for the first-time in certain species
Abeer Al-Andal, Mohamed Ewas, Abd El Raheim M. Donia, Asmaa M. Radwan, Mohamed N. S. Suliman, Elsayed Nishawy, Ahmed El-Shabasy, Eman Khames
Frontiers in Plant Science, 2025
Taxonomic implications of nutlet morphology and SEM-based micro-morphology of Cyperus in Pakistan
Aqsa Abid, Mushtaq Ahmad, Abeer Al‐Andal, Zhiyong Zhang, Shazia Sultana, et al.
Plant Biosystems, 2025
Unveiling allelopathic dynamics and impacts of invasive Erigeron bonariensis and Bidens pilosa on plant communities and soil parameters
Mohamed A. Balah, Abeer Al-Andal, Asmaa M. Radwan, Abd ElRaheim M. Donia
Scientific Reports, 2024
Ecological analysis of plant community structure and soil effects in subtropical forest ecosystem
Sehrish Sadia, Muhammad Waheed, Shazia Firdous, Fahim Arshad, Beatrice Ambo Fonge, Abeer Al-Andal
BMC Plant Biology, 2024
Exploration of genes encoding KEGG pathway enzymes in rhizospheric microbiome of the wild plant Abutilon fruticosum
Aala A. Abulfaraj, Ashwag Y. Shami, Nahaa M. Alotaibi, Maryam M. Alomran, Abeer S. Aloufi, Abeer Al-Andal, Nawwaf R. AlHamdan, Fatimah M. Alshehrei, Fatmah O. Sefrji, Khloud H. Alsaadi, Haneen W. Abuauf, Sahar A. Alshareef, Rewaa S. Jalal
AMB Express, 2024
Advanced Molecular Approaches for Improving Crop Yield and Quality: A Review
Asif Ali Khan, Babar Iqbal, Abdul Jalal, Khalid Ali Khan, Abeer Al-Andal, Ismail Khan, Sultan Suboktagin, Abdul Qayum, Noureddine Elboughdiri
Journal of Plant Growth Regulation, 2024
Unveiling the resistance of native weed communities: insights for managing invasive weed species in disturbed environments
Wajid Ali Khattak, Jianfan Sun, Rashida Hameed, Fawad Zaman, Adeel Abbas, Khalid Ali Khan, Noureddine Elboughdiri, Rasheed Akbar, Feng He, Muhammad Wajid Ullah, Abeer Al‐Andal, Daolin Du
Biological Reviews, 2024
Deciphering the potential role of nano-based biosensors in growth, development and stress management of crop plants
Zahid Nabi Sheikh, Shilpa Raina, Urooj Hassan Bhat, Neha Sharma, Peer Saffeullah, Firoz Mohammad, Abeer Al-Andal, Shaistul Islam
South African Journal of Botany, 2024
Comprehensive chemical passivation of active-state heavy metals in relation to soil biological activity in Taojia River basin
Zhen Zeng, Yan Zeng, Taimoor Hassan Farooq, Chenglin Yuan, Yu Chen, Yao Fu, Xiaohong Wu, Guangjun Wang, Wende Yan, Abeer Al-Andal, Jun Wang
Ecological Indicators, 2024
Soybean LEAFY COTYLEDON 1: A Key Target for Genetic Enhancement of Oil Biosynthesis
Sehrish Manan, Khulood Fahad Alabbosh, Abeer Al-Andal, Waqas Ahmad, Khalid Ali Khan, Jian Zhao
Agronomy, 2023
Variations in Chemicals and Antimicrobial Properties of Schinus molle Fruits Grown in Abha Area, Saudi Arabia
Abeer Al-Andal, Mahmoud Moustafa, Sulaiman Alrumman
Arabian Journal for Science and Engineering, 2019
Taxonomic variation among Schinus molle L. plants associated with a slight change in elevation
Abeer Al-Andal, Mahmoud Moustafa, Suliman Alruman
Bangladesh Journal of Plant Taxonomy, 2017

Abeer Al-Andal

EDUCATION

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS