Environmental Impacts and Behavioral Adaptations of Honeybees in Algeria: A Review of Apis mellifera intermissa and Apis mellifera sahariensis Characteristics
Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Literature Review and Data Collection
2.2. Inclusion Criteria
2.3. Data Synthesis and Analysis
2.4. PRISMA Flowchart
3. Results
4. Discussion
4.1. Factors Influencing Adaptation Processes on Local Honeybees in Algeria
4.1.1. Biotic Stressors
- a.
- Ectoparasitic mites (Varroa): V. destructor feeds on both the hemolymph and the fat body of its honeybee host, consuming nearly a microliter daily [38,39,40] and significantly interfering with honeybee physiology [41,42]. The life cycle of V. destructor consists of two stages: the phoretic dispersal phase, during which it parasitizes adult bees, and the reproductive phase, closely synchronized with the host’s development, during which it infests immature individuals [43]. Bee diseases, mainly represented by the V. destructor and bee poisoning by insecticides, threaten the survival of bee colonies in Algeria [25]. The impact of the parasitic mite V. destructor increases the risk of bee colony collapse and is influenced by local environmental factors such as temperature and humidity [44].
- b.
- Pathogenic microorganisms: The specific pathogenic microorganisms that cause biotic stress in honeybees include Mellisococcus plutonius, which is associated with European foulbrood (EFB) [45]. Other bacterial pathogens include the causative agents of American foulbrood (AFB), which are widely distributed and highly infectious [46]. Additionally, the fungal disease chalkbrood (CBD) affects honeybee broods [47]. Nosema ceranae is a microsporidian pathogen that has been identified as a cause of disease in honeybees [48]. These pathogens, along with other factors such as acaricide accumulation and unusual climatic conditions, contribute to the poor health status and vulnerability of honeybee colonies [49]. The development and progression of honeybee colonies are significantly influenced by various viruses, which pose a major threat to their health and well-being [50]. Viruses such as Deformed wing virus (DWV), Acute bee paralysis virus (ABPV), and Black Queen cell virus (BQCV) have been identified as having direct or indirect effects on individual bees and colony health [51]. Varroa exacerbates these effects by serving as a vector for these viruses, altering their transmission routes and potentially increasing their virulence [52]. Interestingly, while Varroa is associated with the spread of RNA viruses, it has been observed that the presence of certain viruses like SBV and BQCV can lead to a reduction in DWV viral titers, suggesting a complex interaction among viruses within honeybee colonies [52]. Moreover, the presence of Varroa mites and the associated viruses does not necessarily result in increased mortality of bee queens during the rearing process, indicating that the impact of viruses may vary depending on the context and the stage of bee development [53].
- c.
- Large biotic enemies: Honeybees face various biotic enemies during nesting and foraging, including predators such as the Asian hornet (Vespa velutina) and Asian giant hornet (Vespa mandarinia), as well as pests like wax moths (Galleria mellonella and Achroia grisella), small hive beetles (Aethina tumida), and opportunistic predators like praying mantises (Mantodea) and frogs (Batrachia). The Asian giant hornet (V. mandarinia), native to Asia, invades hives, causing forager homing failure and colony paralysis, significantly reducing A. mellifera survival rates [54,55,56,57]. Similarly, the Asian hornet (V. velutina) preys on A. mellifera near hive entrances, disrupting foraging activity [54]. Wax moths (G. mellonella and A. grisella) and small hive beetles (A. tumida) damage hive structures, consume brood and honey, and cause colony collapse, particularly in weakened hives [54,57]. These biotic threats underscore the importance of implementing effective pest and predator management strategies to protect honeybee colonies.
4.1.2. Abiotic Stressors
- a.
- Climate change and habitat degradation: Climate change in Algeria has resulted in rising temperatures, increasing by 1.5 °C over 3 decades, and a 20% decline in precipitation in northern regions [4,21,58,59,60,61,62]. These shifts exacerbate drought, reduce floral resources, and extend the foraging season, placing stress on bee populations. Despite this, A. m. intermissa demonstrates resilience to high temperatures, foraging even at 40 °C, which aids colony survival during heatwaves. However, erratic rainfall impacts floral diversity, posing nutritional challenges for bees [21]. Conservation of floral diversity and breeding climate-resilient strains are vital to address these challenges [58,59]. Deforestation and habitat loss can also affect bee populations and their behavior and may lead to a decline in pollination services [59]. The economic value of bee pollination for crop production in Algeria is influenced by the number of visits and the aggregate effects of various bee species, including honeybees, carpenter bees, stingless bees, bumblebees, and solitary bees [59], The absence of national legislation and standards for Algerian honey could hinder the development of beekeeping in Algeria. Research on honeybee infections and available treatment options in the country remains limited. There is also a lack of studies on the behavior, physiology, and evolution of honeybees in Algeria. Furthermore, the microbiota of Algerian honeybees and honey is still poorly understood [5,25,58,60].
- b.
- Environmental Stressors: The environment plays a significant role in shaping the behavioral characteristics of A. m. intermissa in Algeria. Haddad et al. [60] highlights the adaptability of A. m. intermissa to varying climatic conditions and its cleaning behavior, which may be a response to pressures such as temperature fluctuations and parasite infestation. Additionally, Menail et al. [12] suggests that pathogen-host interactions in A. m. intermissa could be influenced by the bee’s ability to withstand higher temperatures, a trait that becomes increasingly relevant with global warming and the resultant habitat shifts. Contradictions or interesting facts emerge when considering the impact of environmental stressors, such as pathogens and insecticides, on A. m. intermissa. Menail et al. [21] reports the presence of various pathogens and a potential vector, Megaselia scalaris, which could influence bee behavior through disease pressure. Menail et al. [21] discusses the adverse effects of insecticides on bee health, including changes in hypopharyngeal gland development and survival, which could alter foraging behavior and colony maintenance activities. Certain types of pesticides have been found to affect the behavior and survival rates of honeybees. The combination of pesticides, such as imidacloprid, chlorpyrifos, and glyphosate, can produce synergistic changes in the flight ability and behavior of honeybees, resulting in a decrease in flying duration and distance [63]. Furthermore, worst-case environmental concentrations of pesticide mixtures have been shown to cause higher mortality rates and disturbances in biochemical markers in honeybees [64]. Pesticides, particularly those with neurotoxic properties, have been reported to impact the nervous systems of local bee subspecies in Algeria, such as A. m. intermissa and A. m. sahariensis [24]. In summary, environmental factors such as climate, pathogens, and anthropogenic stressors like insecticides, significantly influence the behavioral characteristics of A. m. intermissa in Algeria. Adaptations to high temperatures and cleaning behaviors are beneficial traits for coping with environmental challenges [21], while pathogen prevalence and insecticide exposure may induce stress responses that affect bee health and behavior [61,62]. Understanding these interactions is essential for the conservation and management of this important pollinator species.
- c.
- Beekeepers’ management: According to Aglagane et al. [7] A. m. sahariensis decreases with increasing human management (beekeepers) intensity and precipitation. This indicates that the level of human intervention and environmental conditions play a role in the genetic makeup of the honeybee populations. The study found that high rates of hybridization with A. m. intermissa jeopardize the genetic integrity of the Saharan honeybee. This hybridization is attributed to factors such as the modernization of the beekeeping sector, the importation of foreign queens, large-scale queen breeding, and the regular movement of colonies, which have heavily impacted the genetic pool of locally adapted subspecies and caused genetic pollution through introgression.
4.2. Behaviour Characteristics of Local Honeybees in Algeria
4.2.1. General Population Structure Stressors
4.2.2. Biometric Analysis
4.2.3. Morphological Differences
4.2.4. Nervousness and Aggressive Defense Behavior
4.2.5. Abundant Use of Propolis
4.2.6. Foraging Behavior
4.3. Adaptation to Specific Climatic Conditions, Temperature, and Diseases
4.3.1. Tolerance to Environmental Conditions
4.3.2. Resistance Against V. destructor
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Paper | Subspecies of Honeybees | The Methodology Used/Year of Study/Sample Size |
---|---|---|
[15] | A. m. intermissa | Literature review, where the author analyzed existing research on honeybee aggression, synthesizing findings from various studies/1994. |
[7] | A. m. intermissa A. m. sahariensis A. m. carnica A.m. mellifera | Microsatellite Genotyping: The study employed microsatellite markers to analyse the genetic variation of honeybees collected from 148 colonies across seven populations. Population Clustering: Researchers used statistical methods to group honeybee colonies based on their genetic similarities, revealing the presence of distinct populations. Genetic Structure Analysis [Fst]: This statistical test measured the level of genetic differentiation between honeybee populations separated by the High Atlas Mountains. Assignment Testing: The study used genetic data to determine the probability of individual bees belonging to the Saharan subspecies/2023. |
[16] | A. m. intermissa | Beekeeper Survey: Researchers conducted a survey among beekeepers in various locations (Bejaia, Blida, etc.) to gather information about beekeeping practices and colony management. Morphometric Analysis: The study involved collecting and measuring 15 specific physical traits of worker bees (n = 445) sampled from 30 hives across different locations/1923. Statistical Analysis: The researchers used statistical methods to analyze the morphometric data and identify potential variations between bee populations. |
[8] | A. m. intermissa A. m. sahariensis | Controlled Diets: The study reared emerging worker bees from both subspecies under controlled laboratory conditions, providing them with either a pollen-rich or pollen-deprived diet. Physiological Measurements: Researchers measured the survival rate, hemolymph protein content, hypopharyngeal gland development, and ovary development of the bees at three different ages (7, 14, and 21 days) for each diet and subspecies combination. Statistical Analysis/2022/100 to 120 honeybee workers. |
[17] | A. m. intermissa A. m. sahariensis | Literature review, where the author analyzed existing research on the importance of environmental education, particularly among youth, to address honeybee decline and biodiversity loss/2020/. |
[9] | A. m. intermissa | Sample Collection: Researchers collected honeybee worker samples (n = 30) from three locations within Jijel province, northeastern Algeria. Mitochondrial DNA Analysis: The study employed a technique called PCR-RFLP [Polymerase Chain Reaction-Restriction Fragment Length Polymorphism] to analyze the mtDNA COI-COII region of the collected bee samples. This technique identifies variations in the DNA sequence that can be linked to different evolutionary lineages. Data Analysis/2020. |
[5] | A. m. intermissa | Bee Collection: Researchers likely collected bees from both resistant and susceptible colonies. Age Groups: The study separated bees into distinct age groups (4, 7, 15, and 21 days old) for analysis. Experience Levels: Within each age group, bees were likely categorized as experienced (exposed to mites previously] or naive no prior mite exposure). Mite Introduction: A standardized number of mites were introduced to individual bees in a controlled setting. Grooming Behavior Observation: Researchers observed and quantified the grooming behavior of each bee, measuring the number of mites successfully removed. Data Analysis/2020/600 honeybee workers. |
[6] | A. m. intermissa A. m. sahariensis | Sample Collection: Researchers collected a large number of honeybees (n = 1286) from 12 provinces in northwestern Algeria. Geometric Morphometrics: The study employed a landmark-based geometric morphometrics approach. Statistical Analysis: The researchers used various statistical methods: Principal Component Analysis (PCA), Mahala Nobis Distance, Allometric Analysis, Cross-Validation PERMANOVA (Permutational Multivariate Analysis of Variance)/2021. |
[18] | A. m. intermissa | Bee Collection: Researchers collected honeybee worker samples (n = 1655) from three locations within Jijel province, northeastern Algeria. Morphometric Measurements: wing size, leg length, body parts like head capsule width or inter-ommatidial distance (distance between eye facets)/2011. |
[12] | A. m. intermissa A. m. sahariensis | Colony Health Monitoring: Researchers employed established methods to monitor honeybee colony health in various locations across northern and southern Algeria. This involves tracking colony losses over a specific period. Parasite and Pathogen Detection: The study used diagnostic techniques PCR to detect the presence and prevalence of common honeybee parasites in bee samples from the monitored colonies/2016/. |
[19] | A. m. intermissa A. m. sahariensis | Sample Collection: Researchers collected a large number of honeybee worker samples (n = 582) from 22 regions across Algeria. Mitochondrial DNA Analysis: The study employed a technique called PCR-RFLP [Polymerase Chain Reaction-Restriction Fragment Length Polymorphism] to analyse the mtDNA COI-COII region of the collected bee samples. Data Analysis: The researchers analysed the RFLP patterns to determine the evolutionary lineages and mtDNA haplotypes present in each region/2015. |
[20] | A. m. intermissa A. m. sahariensis | Sample Collection: Researchers collected honeybee worker samples (n = 414) from eight different locations across Algeria. Microsatellite Analysis: The study employed 14 microsatellite loci Population Genetics Analysis: The researchers used various statistical methods to analyse the genetic data: 1-Hardy-Weinberg Equilibrium Tests 2-Phylogenetic Analysis 3-Population Structure Analysis 4-Allelic Introgression Analysis/2016. |
[21] | A. m. intermissa | Whole Genome Shotgun Sequencing: The researchers employed a technique called Whole Genome Shotgun (WGS) sequencing to generate a draft sequence of the entire A. m. intermissa genome. Genome Annotation: The study is currently in the process of annotating the draft genome sequence. This involves identifying and characterizing the genes and other functional elements within the DNA sequence. Comparative Genomics: The researchers plan to compare the A. m. intermissa genome sequence with the genomes of other honeybee subspecies/2020. |
[22] | A. m. intermissa | Sample Size: The study involved 40 honeybee colonies of A. m. intermissa. Seasonality: The experiment was conducted in both spring and fall seasons to assess potential seasonal variations. Dead Brood Introduction: Researchers introduced a standardized number of dead brood cells into each colony and monitored their removal rate. Hygienic Behavior Measurement: The researchers calculated the percentage of dead brood removed by the bees within a specific time frame (removal rate) as a measure of hygienic behavior/2022. |
[23] | Apis mellifera | The Reviewed Studies This section cannot be definitively described based solely on the resume of a review paper. However, the review analyzes findings from various studies that might have employed:
|
[24] | A. m. intermissa A. m. sahariensis | Bee Sample: The researchers used adult worker bees for the experiment. Doses: Bees were exposed to various concentrations (doses) of thiamethoxam. Exposure Routes: The experiment involved two exposure routes:
Mortality Monitoring: Researchers monitored bee mortality at regular intervals over a specific period (24 h in this case). Data Analysis: The study employed dose-mortality response. They calculated LD50 values. They also analysed the speed of mortality (kinetics) at different doses/2007. |
[25] | A. m. intermissa | Beekeeper Survey: Researchers conducted interviews with beekeepers in mid-northern Algeria to gather information about colony health issues and potential causes of bee deaths. Information Gathering: The study has complemented the survey data with information from:
|
[26] | A. m. intermissa A. m. sahariensis A. m. iberiensis A. m. mellifera | Sample Collection: Researchers collected samples from 663 honeybee colonies across six European and African subspecies. Wing Shape Analysis: The study employed geometric morphometrics, a technique that analyses the positions of specific landmarks [points] on the wing to capture the overall wing shape. Microsatellite Analysis: Researchers analysed the variations at six microsatellite loci within the nuclear DNA of the collected honeybee samples. Data Analysis: The study employed statistical methods to analyse both data sets:
|
[27] | A. m. intermissa | Sample Collection: Researchers collected a large number of worker bees (n = 3400) from honeybee colonies across three ecological regions in northern Algeria. Geometric Morphometric Analysis: The study employed geometric morphometrics. This technique involves capturing the positions of specific landmarks (points) on the bee forewing and analyzing their spatial relationships. Statistical Analysis: The researchers used statistical methods to analyze the wing shape data:
|
[28] | Apis mellifera | Sample Collection: Researchers collected worker bee samples from 317 colonies across five populations in Algeria. Mitochondrial DNA Analysis: The study analyzed the mtDNA sequences of the collected bees to identify different haplotypes. Microsatellite Analysis: The researchers genotyped the bees at 14 microsatellite loci Population Genetics Analysis: The study employed statistical methods to analyze the mtDNA and microsatellite data: Haplotype Distribution: Comparing the frequencies and distributions of mtDNA haplotypes across the five populations. Genetic Diversity: Measuring the genetic diversity within and between populations using microsatellite data. Africanization Level: Estimating the extent of Africanization by comparing the frequencies of African and European mtDNA haplotypes and microsatellite alleles/2023. |
[29] | A. m. intermissa A. m. sahariensis | Sample Collection: Researchers collected honeybee samples from different locations in eastern Algeria along a north-south transect. Morphological Measurements: The study involved measuring 21 morphological traits on the collected bees. mtDNA Analysis: The researchers extracted and analysed mtDNA sequences from the bee samples to identify different haplotypes. Microsatellite Genotyping: The study involved genotyping the bees at 14 microsatellite loci using radioactive amplification. Population Genetics Analysis: The researchers employed statistical methods to analyse the mtDNA and microsatellite data: Pathological Analysis: The study involved monitoring bee colonies and identifying the causative agent of colony losses. Morphological Impact Biochemical Analysis/1916. |
[30] | A. m. intermissa | Sample Collection: The study likely involved collecting worker honeybees from apiaries in northeastern and southern regions of Algeria Morphometric Measurements: Researchers measured various physical traits of the collected bees, including: Body size measurements (length, width), Wing characteristics (area, shape) Leg length Multivariate Analysis: The study employed two main statistical techniques for analysing the morphometric data: Principal Component Analysis (PCA) Linear Discriminant Analysis (LDA) Population Clustering: Based on the combined results from PCA and LDA, the researchers were able to identify three morpho clusters/2005. |
[14] | A. m. intermissa A. m. sahariensis | Sample Collection: Researchers collected honeybee samples from a total of 738 colonies across 64 localities in Africa, Europe, and the Middle East. mtDNA Analysis: The study used DraI RFLP analysis of the COI-COII mtDNA region. Microsatellite Genotyping: The researchers genotyped bees from eight populations (Morocco, Guinea, Malawi, South Africa). Population Genetics Analysis: The study employed statistical methods to analyse the mtDNA and microsatellite data: mtDNA Lineage Distribution, Genetic Diversity Africanization Level: Estimating the extent of Africanization in European populations by comparing microsatellite allele frequencies. Population Differentiation: Comparing genetic variation between populations using various methods like Fst and Nei’s genetic distance (for both mtDNA and microsatellites)/2001. |
[31] | A. m. intermissa | Honeybee Strains: The researchers established two honeybee strains through artificial selection:
Data Collection: Pollen Stores Forager Behavior and Division of Labor Diurnal Foraging Patterns Brood Production Statistical Analysis: The study employed statistical methods to analyze the collected data: Pollen Hoarding, Colony-Leve, Components/1985. |
[32] | major geographical races [subspecies] of Apis mellifera | The guide include: Clear and concise explanations of honeybee biology and behavior. Diagrams and illustrations of bee anatomy, life stages, and hive components. Practical advice on beekeeping techniques like hive management, swarm control, and honey harvesting. Information on selecting appropriate honeybee subspecies for specific beekeeping goals and local conditions/2002. |
[33] | A. m. intermissa | Sample Collection: The study likely involved selecting honeybee colonies of Apis mellifera intermissa in Tunisia. Artificial Infestation Freeze-Killed Brood Natural Infestation Observations: Mite Removal. Mite Grooming. Mite Injury/1999. |
[34] | Apis mellifera | Morphometric Analysis Statistical Analysis Behavioral Analysis: The passage briefly mentions including behavioral data alongside morphometrics for a more complete understanding of geographic variability/1988. |
[35] | A. m. intermissa | 33 characters were measured in each of 404 samples of honeybees from different regions and examined by multivariate analysis. The quantitative variation of characters, as correlated with the geographical distribution of bees, is shown in a graph/1978. |
[4] | A. m. sahariensis | Personal Observations Comparative Analysis Field Trials/1960. |
[36] | A. m. intermissa A. m. mellifera | Personal Observations Comparative Analysis Field Trials/2015. |
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Haider, Y.; Adjlane, N.; Haddad, N. Environmental Impacts and Behavioral Adaptations of Honeybees in Algeria: A Review of Apis mellifera intermissa and Apis mellifera sahariensis Characteristics. Insects 2025, 16, 617. https://doi.org/10.3390/insects16060617
Haider Y, Adjlane N, Haddad N. Environmental Impacts and Behavioral Adaptations of Honeybees in Algeria: A Review of Apis mellifera intermissa and Apis mellifera sahariensis Characteristics. Insects. 2025; 16(6):617. https://doi.org/10.3390/insects16060617
Chicago/Turabian StyleHaider, Yamina, Noureddine Adjlane, and Nizar Haddad. 2025. "Environmental Impacts and Behavioral Adaptations of Honeybees in Algeria: A Review of Apis mellifera intermissa and Apis mellifera sahariensis Characteristics" Insects 16, no. 6: 617. https://doi.org/10.3390/insects16060617
APA StyleHaider, Y., Adjlane, N., & Haddad, N. (2025). Environmental Impacts and Behavioral Adaptations of Honeybees in Algeria: A Review of Apis mellifera intermissa and Apis mellifera sahariensis Characteristics. Insects, 16(6), 617. https://doi.org/10.3390/insects16060617