Geographic location and altitude of apiaries in Siberia, where the dark-colored forest bees were collected for study using microsatellite loci.
A comprehensive research of two dark-colored forest bee populations in Siberia, identified during a screening study, was conducted using morphometric and molecular genetic methods. The first population is an isolated Yenisei population located in the taiga zone in the Krasnoyarsk Territory, on which bees have not been imported for a long time (50–60 years). The second population is located in the northern areas of the Tomsk region, where beekeeping is more developed. All studied bees had a variant PQQ of the COI–COII mtDNA locus. However, some morphometric parameters of some bee colonies deviated from the Apis mellifera mellifera standard, which is probably due to the features of population formation. As a result of the analysis of the variability of 18 microsatellite loci, possible potential DNA markers specific for determining the bee subspecies and/or ecotypes of the dark-colored forest bee have been identified. An algorithm for the search and a comprehensive study of the dark-colored forest bee are proposed.
- dark-colored forest bee
- Apis mellifera mellifera
- genetic diversity
- morphometric parameters
- COI–COII mtDNA locus
Since honeybees do not have sex chromosomes, as additional information on the origin of bees, data on autosomal loci, for example, on microsatellites, can be used. However, genetic diversity of the autosomal loci in different bee subspecies is still poorly understood. At the same time, molecular genetic studies of 14 subspecies with the use of nuclear markers (SNP) allowed identification of the groups that largely reflect the traditional four morphological branches .
There are negative trends in the development of honeybee populations both in Russia and in the world in recent years. The most dangerous processes, having catastrophic consequences, are the mass mortality of bee colonies and uncontrolled hybridization of bees. So far, the reasons for the bee collapse have not yet been fully defined . Mass hybridization between
The main problem in beekeeping is the preservation of gene pools of native bee populations. One of the unique
Russia has some unique opportunities to preserve the local populations of the
The goal of our work was to search for the dark-colored forest bee populations in Siberia and morphometric and molecular genetic characterization of bee colonies to assess the current state and the possibility of preservation of the
2. Materials and methods
In Siberia, the honeybee was introduced 230 years ago; it is well adapted to the local climate and plant communities and is an artificial population whose wintering is controlled by people.
Siberia is characterized by unfavorable severe natural and climatic conditions. The most characteristic feature of the climate of Siberia is sharp contrasts of air temperatures in the warm and cold seasons of the year, rapid transitions from summer to winter and from winter to summer, and duration of the off-season (spring and autumn) in some areas does not exceed 1–2 months. In transition periods (spring and autumn), there are sharp temperature fluctuations that, even within 1 day, their amplitude in some places reaches 25–30°C.
For example, the Tomsk region is located in the geographic center of Siberia, in the southeastern part of the West Siberian Plain. Almost the entire territory of the region is within the taiga zone. The climate is temperate continental with considerable daily and annual amplitudes and long winters (5–6 months). The average annual temperature is –0.6°C, while the average temperature in July is +18.1°C and in January is –19.2°C. The frost-free period is 100–120 days. Precipitation is 435 mm.
The Krasnoyarsk Territory is located in the Eastern Siberia. About 70% of the territory is occupied by forests. Due to the long length of the edge in the meridional direction, the climate is very heterogeneous. The climate of the Krasnoyarsk Territory varies from arctic and subarctic to sharply continental and temperate continental. In particular, in the Yenisei district, the average annual temperature is –1.5°C, while the average temperature in July is +18.1°C and in January is –21.6°C. The frost-free period is 100–110 days, and precipitation is 200–350 mm.
2.2. Research algorithm on search for the dark-colored forest bee colonies
At the first stage of the study, we performed the screening of bee colonies inhabited different regions of Siberia (northern and southern territory, isolated apiaries, forest areas, and others) to search for
In the screening study, we use the following algorithm:
(1) mtDNA analysis (variability of the locus COI–COII) to determine the origin of the bee colony in the maternal line. If the variants PQQ and PQQQ of the COI–COII locus are detected in bees of the colony, this bee colony is the
(2) Morphometric analysis (parameters of wing, body painting, and others). If the morphometric parameters of bees correspond to the dark-colored forest bee’s standard, this bee colony is considered
Based on the screening study, the most interesting areas where the dark-colored forest bees live were selected for more detailed investigation: (1) the Tomsk region, Western Siberia; (2) the Krasnoyarsk Territory, Yenisei population, Eastern Siberia (Figure 1).
We investigated the Yenisei bee population at the Krasnoyarsk Territory as a unique isolated
|Krasnoyarsk Territory (Yenisei population)||Kolmogorovo||59°16′06″||91°19′02″||60|
The second stage of study of the dark-colored forest bee colonies detected by morphometric and mtDNA methods were studied in detail using microsatellite loci.
2.3. Samples for characterization of the dark-colored forest bee
We defined apiaries and territories, where only the dark forest bee is distributed. For further investigation, two populations (five apiaries) of Siberia (the Tomsk region, the Krasnoyarsk Territory) are selected: s. Mogochino and s. Teguldet in the Tomsk region and s. Kolmogorovo, s. Ostyatskoe, and s. Ozernoe in the Krasnoyarsk Territory (Table 1).
Collected honeybees from bee colonies were anesthetized on dry ice and stored in 96% ethanol until use.
Twenty-two dark-colored forest bee colonies from Siberia (5 bee colonies from the Tomsk region and 17 bee colonies from the Krasnoyarsk Territory) were investigated by morphometric (minimum 30 bees from each colony, in total of 673 samples) and molecular genetic methods (mtDNA analysis and microsatellite analysis). In total, 170 bees were examined by mtDNA analysis (5–10 bees from each colony). We analyzed 18 microsatellite loci; the minimum number of individuals analyzed for the locus was 269, and the maximum number of bees was 524 (from 10 to 30 individuals from each bee colony).
2.4. Morphometric method
2.5. Molecular genetic methods
Each bee colony has been studied using the mtDNA analysis (locus COI–COII) and morphometric analysis (morphometric parameters of the wing, including the cubital index, the hantel index, and the discoidal shift, were analyzed) to determine the conformance of the bee colony to the
DNA isolation and polymerase chain reaction (PCR) were carried out according to standard techniques with some modifications [20, 21]. To amplify the COI–COII mtDNA locus, the following sequences of primers were used: 5′-CACATTTAGAAATTCCATTA and 5′-ATAAATATGAATCATGTGGA . Amplification products were fractionated in 1.5% agarose gel, and the results were documented with the use of Gel Doc XR+.
We examined variability of 18 microsatellite loci localized on 11 of the 16 chromosomes of the honeybee (Table 2). PCR was performed using specific primers and reaction conditions according to Solignac et al. . Amplification products were analyzed with ABI Prism 3730 Genetic Analyzer and GeneMapper Software (Applied Biosystems, Inc., Foster City, CA) in the collective Center for Medical Genomics (Research Institute of Medical Genetics, Tomsk National Research Medical Center, Russian Academy of Sciences). Two microliters of PCR products were mixed with GeneScan 500 ROX size standards (Applied Biosystems, Inc.) and deionized formamide. Samples were run according to the manufacturer’s recommendations. These genetic parameters were calculated using the POPGENE 1.31 software : allelic frequencies with standard error, heterozygosity.
|Locus||Chromosome||Size (pb)||Motive||Annealing temperature (°C)||MgCl2 concentration (mM)||Primer sequence:|
upper (F) and lower (R)
|5||160||(ATCC) 4 (ATCT) 2||56||1.5||F: CGCTCGCGGTGGATTTCATTT|
|11||350–530||Length polymorphism||55||1.5||F: ATGTAATTTTGAAGAATGAACTTG|
For the microsatellite loci specific for evolutionary branch M according to our results, our data on their variability in southern breeds of honeybee (
3. Results and discussion
In the screening study of the Siberian territories, the dark-colored forest bee populations were identified in the Tomsk region and in the Krasnoyarsk Territory. For bee colonies from these populations, a detailed morphometric and molecular genetic (mtDNA) analysis was carried out. Using of microsatellite loci, research studies of bee colonies were performed (1) to characterize genetic diversity of bees, (2) to find unique or specific DNA markers for the dark-colored forest bee, and (3) to assess the ecological component in the genetic diversity of bees using microsatellite loci studied for which differences in allelic spectrum and allelic frequencies in bees from different dark-colored forest bee populations were identified.
3.1. Morphometric and mtDNA analysis of dark-colored forest bees in Siberia
Using the mtDNA analysis (variability of the COI–COII locus), we performed molecular genetic study of 22 bee colonies (5–10 samples from each bee colony) to exclude the hybridization (mixing) with southern bee subspecies and confirm their origin from the dark-colored forest bee in the maternal line. One variant of the COI–COII mtDNA locus was registered in all studied honeybees of Tomsk and Krasnoyarsk populations: PQQ (typical for the dark-colored forest bee). No variant Q specific for southern races of bee was detected.
Then, bee colonies were investigated by the morphometric analysis to identify the characteristics of both the maternal and paternal lines and to assess the level of hybridization. The results of the morphometric study of honeybees from examined regions of Siberia (the Tomsk region and the Krasnoyarsk Territory) were different. The results of morphometric analysis confirmed the origin of bee colonies of Tomsk population (apiaries of s. Mogochino and s. Teguldet) from the dark-colored forest bee, but some influence of southern races was shown. For example, the parameter “discoidal shift” deviates from the Russian
|Geographic location||Bee colony (№)||Number of studied bees||Sequence composition of the COI–COII mtDNA locus||Cubital index (standard units)||Hantel index (standard units)||Discoidal shift (%)|
|Standard for |
|I||PQQ, PQQQ, and others||1.30–2.10||1.70||0.600–0.923||No data||No data|
|II||PQQ, PQQQ, and others||1.30–1.90||1.5–1.7||0.600–0.923||91–100||5–10||0|
Bee colonies obtained from isolated apiaries of the Krasnoyarsk Krai (s. Kolmogorovo, s. Ostyatskoe, and s. Ozernoe) are of considerable interest. The area with these isolated apiaries was not influenced by other subspecies of honeybee for many years, and all studied bees had only variant PQQ of the locus COI–COII mtDNA. However, when comparing the data of the morphometric study of bees from isolated apiaries with Russian and European standards of the
3.2. Genetic diversity of the dark-colored forest bees in Siberia on the microsatellite loci
Variability of the 18 microsatellite loci in dark-colored forest bees from Siberian populations was studied. For each microsatellite locus, the allelic range, frequency of alleles, and heterozygosity were determined (Table 4).
|Locus||Alleles (pb)||Allelic frequency||Locus||Alleles (pb)||Allelic frequency|
|Tomsk region||Krasnoyarsk Territory||Tomsk region||Krasnoyarsk Territory|
Microsatellite loci differed in variability: the minimum number of alleles was detected for locus A088 (four alleles), and the maximum number of alleles was registered for locus Ap243 and Ap049 (nine alleles). At the same time, for most loci (A007, A008, Ap081, A028, A043, A088, Ap049, A113, Ap249, and
Some differences were also registered in the frequency of alleles between Tomsk and Krasnoyarsk populations. Thus, at the locus AC117 in bees from the Tomsk population, the allele “181” was most often registered (frequency of allelic registration was 0.46), and allele “185” was registered less often (0.30), whereas in bees from the Krasnoyarsk population, on the contrary, the allele “185” was predominant (frequency of allelic registration was 0.66). Differences in the frequency of registration of predominant alleles were registered for some other loci (Ap066, A024, 6339, and others). At the same time, for most loci A007, A008, Ap081, A028, A043, A088, Ap049, Ap249, A113, H110, and
Observed and expected heterozygosity differs among bees of two populations. The lower values of the observed heterozygosity in comparison with the expected heterozygosity are shown for most loci (except, locus A028). Probably, one of the reasons for this situation is the features of the reproductive biology of bees. At the same time, the differences between the bees of the Tomsk and Yenisei populations were revealed for some loci. For example, loci Ap066, A043, Ap049, and H110, the values of the observed heterozygosity were higher values of the expected heterozygosity in bees from Tomsk population in comparison with the bees of the Yenisei population. Possibly, this may be the result of genetic drift, the effect of which may be due to the fact that apiaries of the Krasnoyarsk Territory (Yenisei population) are isolated and there are a limited number of bees. It cannot be ruled out that the loss of the genetic diversity of the bees from the Yenisei population can be the cause of some morphological differences from the
3.3. Comparative analysis of the variability of the microsatellite loci in the
A. m. mellifera bees from different populations of Russia
It is expected that a vast territory of Eurasia cannot be inhabited by
In order to identify genetic features (specificity, adaptation to various climatic conditions) of dark-colored forest bees from different populations (different geographic areas) and determine different
|Parameter||Allelic frequency||Parameter||Allelic frequency|
|Tomsk region||Krasnoyarsk Territory (Yenisei population)||Bashkortostan (Burzyan population)1||Tomsk region||Krasnoyarsk Territory (Yenisei population)||Bashkortostan (Burzyan population)1|
|Allele* (pb)||127||0||Allele* (pb)||218||0.09|
|Allele* (pb)||254||0||0||Allele* (pb)||160||0||0.04|
|Allele* (pb)||154||0||0||Allele* (pb)||141||0|
|Allele* (pb)||126||0||Allele* (pb)||128|
The complexity of such a comparative analysis is a small study of the bees of different populations of both Russia and Europe. For example, the genetic diversity of bees of the Burzyan population (the Ural, Russia) has been studied only at nine microsatellite loci . Large-scale research of the genetic diversity of the dark-colored forest bee in European populations (Belgium, Sweden, France) dates back to 1998 [26, 27]. At the present time, genetic characteristics of bees in these territories can differ significantly from those described earlier, on the one hand, due to the rapid change of bee generations and, on the other hand, due to mass hybridization processes.
According to our data, Siberian populations (the Tomsk region and the Krasnoyarsk Territory) are the closest in allelic spectrum and allelic frequencies of most studied loci (Ap049, A113, Ap243, A024, A008, A088, and A028). The Ural population located to the west of the Siberian region differs from Siberia for some loci: for loci A008, A088, and A028, differences were registered in the spectrum of alleles, for the locus A113—in the frequency of alleles, for the loci Ap243 and A024—in both the spectrum and frequency of alleles. Only for locus A043, a greater similarity in the spectrum and frequency of alleles was detected in the dark-colored forest bee from different populations of Russia.
At the same time, the results of genotyping of some loci deserve special consideration. For example, for loci H110 and Ap049, the differences in the size of alleles in bees from Siberian and Ural populations were found (alleles differ by two nucleotides), which may be due to methodical characteristic. Therefore, the most important task for studying the genetic diversity of bees is the development of a standard allelic ladder for microsatellite loci.
3.4. Characterization of
A. m. mellifera gene pool and possibilities of its preservation in Siberia
Important conditions for the preservation of the honeybee gene pool, including the dark-colored forest bee, are the precise identification of the species of bees, the development of diagnostic DNA markers (e.g., microsatellite loci), and the conduction of genetic certification of valuable species.
In order to determine the subspecies status of an individual honeybee, a honeybee colony, or a honeybee population, it is important to compare allelic counts and genotypes across different studies including analysis of populations from different regions, as well as description of the genetic diversity of different bee subspecies. At the present time, comparative genetic-geographic analysis for bees has some problems: (1) no standard reference material, such as a standard allelic ladder, is available for honeybees ; (2) a small number of studies are devoted to the analysis of the genetic diversity of bees; and (3) the spectra of analyzed microsatellite markers are often nоt overlapped, and primary data on the allele spectrum and allele frequencies are not always presented in publications.
At the same time, microsatellite loci as the most informative molecular genetic markers can be useful for the study of the genetic structure of different honeybee populations and bee colonies; evaluation of genetic diversity and introgressive hybridization; differentiation of different subspecies (ecotypes); establishment of evolutionary relationships and adaptive features of four evolutionary branches (A, M, C, and O); search of genetic markers associated with economically significant characteristics, and others [12, 13, 17, 18, 24, 26–40].
We attempted to develop a standard allele ladders for microsatellite loci studied for the dark-colored forest bee of Siberian populations and to search for diagnostic DNA markers of the nuclear genome (microsatellite loci) for differentiation of subspecies
We conducted a comparative analysis of the spectrum and frequencies of the alleles of some microsatellite loci (A008, A028, A088,
The informativeness of the microsatellite loci studied to describe the subspecies and ecological specificity was different. As possible DNA markers for differentiation of different bee subspecies, microsatellite loci can be divided into three groups.
(1) Loci specific for
For example, for locus А043 the allele “128” is predominant in dark-colored forest bees from different populations of Russia (allelic frequency P128=0.76–0.98) and most European populations (allelic frequency P128=0.68–0.90) (Table 5; see detail in Refs. [26, 27]). For bees of the evolutionary branch C, the allele “140” is more characteristic.
For the microsatellite
(2) Locus specific for
For example, for the locus A008, the differences in the spectrum of alleles and the frequency of allele registration were revealed in dark-colored forest bees of Siberian, Ural, and European populations. For honeybees of the Ural and Europe, shorter alleles of locus A008 were predominant (154 bp and 148 bp, respectively), whereas for bees from Siberia, allele “163” was the most specific. Probably, this locus should be considered a marker related to geographic and environmental conditions (specific adaptation to local conditions) [4, 9, 41, 42].
(3) Nonspecific loci. No specific features in the spectrum and frequency distribution of alleles were found. For example, a close spectrum and frequencies of alleles in bees of different origins (evolutionary branches M and C) are registered for loci AC117, H110, SV185, 6339, and others.
Thus, it is shown that for some loci the specific distribution of allele frequencies was detected in bees, which differ by geographic location and/or origin. These loci can be used to determine the origin of honeybees and/or to identify traces of hybridization.
However, in our opinion, for the determination of bee subspecies (or bee breed), the DNA markers of the nuclear genome should be used with caution, if other signs of bee subspecies, for example, morphometry and/or mtDNA, are not considered. None of the microsatellite loci makes it possible to uniquely determine the origin of the bees (i.e., they are not universal). Further research is needed, and the expansion of genetic-geographic studies of honeybees is relevant.
These studies should be of a complex nature (it is necessary to investigate both morphometric and molecular genetic traits, including mtDNA analysis and nuclear genome markers).
In our studies, we used the following algorithm for the search for
Initially, to determine the origin of the bee colony in the maternal line, each colony should be investigated by the mtDNA analysis (variability of the locus COI–COII). Then, the morphometric analysis should be carried out to determine the origin of the bee colony and its conformance to the bee breed standard and to assess the correspondence of the mtDNA data to the morphometric parameters. As a result of our studies, it has been shown that among the morphometric parameters highly informative and minimally necessary indicators for the determination of
Our data also indicate that only the exterior or just genetic traits may be insufficient to determine the origin of bees and only the simultaneous analysis of morphometric parameters and data on the variability of locus COI–COII of mtDNA allow to evaluate the breed and cases of hybridization objectively.
Finally, a microsatellite analysis should be conducted to study genetic diversity of bee colonies and to clarify their origin (possibly ecotypes) and/or the origin of the hybrids. As the research on the variability of the nuclear DNA markers in different bee subspecies inhabiting different climatic conditions will increase, the range of informative molecular genetic markers for certain bee subspecies, breeds, and/or ecotypes can be expanded and optimized.
A screening study of bee colonies in Siberia made it possible to identify two populations of the dark-colored forest bee in the Krasnoyarsk Territory and the Tomsk Region. These
Thus, to identify and preserve dark-colored forest bee populations in Siberia, we studied the genetic diversity of local native bees, described the specific polymorphic variants of loci of mtDNA and nuclear genome, and proposed an algorithm for the search and a comprehensive study of the dark-colored forest bee.
As a result of our research, we can draw the following conclusions:
It is necessary to establish the exact correspondence of the breed using comprehensive analysis (morphometric and mtDNA methods).
Identify and remove hybrid colonies with a discrepancy between morphometric and mtDNA parameters.
Given the high variability of microsatellites, it is necessary to cautiously use a small number of individuals and/or microsatellite loci to assess the genetic diversity of bee colonies when microsatellite loci are used to identify bee subspecies.
Take into account the genetic-geographic and ecological aspects for the conservation of biodiversity, which is not given much attention.
Development of diagnostic DNA markers is a scientific basis for the evaluation of quality of bee colonies in the dark-colored forest bee farm, created by Tomsk State University. In addition, a complex approach to the analysis of bee colonies (morphometric and molecular genetic analysis) allows obtaining genetic certification of bees, identifying the valuable line (ecotypes) of local bees, and protecting and making rational use of genetic resources of aboriginal bee subspecies.
This is one of the first attempts to introduce molecular genetic markers in the practice of beekeeping in Russia as the real possibility of the definition of bee subspecies (bee breeds). In the future, a similar comprehensive approach, including analysis of molecular genetic and morphometric markers, will be used for the selection of bee colonies with high economically significant indicators, disease resistance, and other parameters based on genotypic features of honeybees.
Ruttner F. Biogeography and Taxonomy of Honey Bees. Berlin: Springer Verlag; 1988
Garnery L, Cornuet JM, Solignac M. Evolutionary history of the honey bee Apis melliferainferred from mitochondrial DNA analysis. Molecular Ecology. 1992; 1:145-154
Frank P, Garnery L, Solignac M, Cornuet JM. Molecular confirmation of a fourth lineage in honey bees from the Near East. Apidologie. 2000; 31:167-180
Meixner MD, Pinto MA, Bouga M, Kryger P, Ivanova E, Fuchs S. Standard methods for characterising subspecies and ecotypes of Apis mellifera. In: Dietemann V, Ellis JD, Neumann P, editors. The COLOSS BEEBOOK,Volume I: standard methods for Apis melliferaresearch. Journal of Apicultural Research. 2013; 52(4):1-28. DOI: 10.3896/IBRA.1.52.4.05
Cornuet JM, Garnery L, Solignac M. Putative origin and function of the intergenic region between COI and COII of Apis melliferaL. mitochondrial DNA. Genetics. 1991; 128(2):393-403
Rortais A, Arnold G, Alburaki M, Legout H, Garnery L. Review of the DraI COI–COII test for the conservation of the black honey bee ( Apis mellifera mellifera). Conservation Genetics Resources. 2011; 3:383-391
Whitfield CW, Behura SK, Berlocher SH, Clark AG, Johnston JS, Sheppard WS, Smith DR, Suarez AV, Weaver D, Tsutsui ND. Thrice out of Africa: ancient and recent expansions of the honey bee, Apis mellifera. Science. 2006; 314(5799):642-645
vanEngelsdorp D, Traynor KS, Andree M, Lichtenberg EM, Chen Y, Saegerman C, Cox-Foster DL. Colony Collapse Disorder (CCD) and bee age impact honey bee pathophysiology. PLoS ONE. 2017; 12(7):e0179535. DOI: 10.1371/journal.pone.0179535
De la Rúa P, Jaffé R, Dall’Olio R, Muñoz I, Serrano J. Biodiversity, conservation and current threats to European honey bees. Apidologie. 2009; 40(3):263-284. DOI: 10.1051/apido/2009027
Meixner MD, Costa C, Kryger P, Hatjina F, Bouga M, Ivanova E, Büchler R. Conserving diversity and vitality for honey bee breeding. Journal of Apicultural Research. 2010; 49(1):85-92. DOI: 10. 3896/IBRA.188.8.131.52
Büchler R, Costa C, Hatjina F, Andonov S, Meixner MD, Le Conte Y, Uzunov A, Berg S, Bienkowska M, Bouga M, Drazic M, Dyrba W, Kryger P, Panasiuk B, Pechhacker H, Petrov P, Kezić N, Korpela S, Wilde J. The influence of genetic origin and its interaction with environmental effects on the survival of Apis melliferaL. colonies in Europe. Journal of Apicultural Research. 2014; 53(2):205-214. DOI: 10.3896/IBRA.1.53.2.03
Jensen AB, Palmer KA, Boomsma JJ. Pedersen BoV. Varying degrees of Apis mellifera ligusticaintrogression in protected populations of the black honeybee, Apis mellifera mellifera, in northwest Europe. Molecular Ecology. 2005; 14(1):93-106. DOI: 10.1111/j.1365-294X.2004.02399.x
Soland-Reckeweg G, Heckel G, Neumann P, Fluri P, Excoffier L. Gene flow in admixed populations and implications for the conservation of the Western honey bee, Apis mellifera. Journal of Insect Conservation. 2009; 13:317-328
Pinto MA, Henriques D, Chávez-Galarza J, Kryger P, Garnery L, van der Zee R, Dahle B, Soland-Reckeweg G, de la Rúa P, Dall’Olio R, Carreck NL, Johnston JS. Genetic integrity of the Dark European honey bee ( Apis mellifera mellifera) from protected populations: a genome-wide assessment using SNPs and mtDNA sequence data. Journal of Apicultural Research & Bee World. 2014; 53:269–278. DOI: 10.3896/IBRA.1.53.2.08
Muñoz I, Henriques D, Johnston JS, Chávez-Galarza J, Kryger P, Pinto MA. Reduced SNP panels for genetic identification and introgression analysis in the dark honey bee ( Apis mellifera mellifera). PLoS ONE. 2015; 10(4):e0124365). DOI: 10.1371/journal.pone.0124365
Ostroverkhova NV, Konusova OL, Kucher AN, Kireeva TN, Vorotov AA, Belikh EA. Genetic diversity of the locus COI-COII of mitochondrial DNA in honeybee populations ( Apis melliferaL.) from the Tomsk region. Russian Journal of Genetics. 2015; 51(1):80-90. DOI: 10.1134/S102279541501010X
Ostroverkhova NV, Konusova OL, Kucher AN, Sharakhov I.V. A Comprehensive characterization of the honeybees in Siberia (Russia). In: E. Dechechi Chambo (Ed.) Beekeeping and Bee Conservation – Advances in Research. InTech, Croatia, 2016, pp. 1–37. ISBN 978-953-51-2412-2. DOI: 10.5772/62395.
Ostroverkhova NV, Kucher AN, Konusova OL, Kireeva TN, Sharakhov IV. Genetic diversity of honeybees in different geographical regions of Siberia. International Journal of Environmental Studies. 2017; 74(5):771-781. DOI: 10.1080/00207233.2017.1283945
Konusova OL, Ostroverkhova NV, Kucher AN, Kurbatskij DV, Kireeva TN. Morphometric variability of honeybees Apis melliferaL., differing in variants of the COI–COII mtDNA locus. Tomsk State University. Journal of Biology. 2016; 1(33):62-81. DOI: 10.17223/19988591/33/5
Nikonorov YM, Ben’kovskaya GV, Poskryakov AV, Nikolenko AG, Vakhitov VA. The use of the PCR technique for control of the pure-breeding of honeybee ( Apis mellifera melliferaL.) colonies from the Southern Urals. Russian Journal of Genetics. 1998; 34(11):1344-1347
Ostroverkhova NV, Konusova OL, Kucher AN, Pogorelov YL, Belykh EA, Vorotov AA. Population genetic structure of honey bee ( Apis melliferaL.) in the village of Leboter in Chainsky district of the Tomsk region. Tomsk State University. Journal of Biology. 2013; 1(21):161-172
Solignac M, Vautrin D, Loiseau A, Mougel F, Baudry E. Five hundred and fifty microsatellite markers for the study of the honey bee ( Apis melliferaL.) genome. Molecular Ecology Notes. 2003; 3:307-311. DOI: 10.1046/j.1471–8286.2003.00436.x
Yeh F, Yang R, Boyle T. POPGENE Microsoft Windows-Based Freeware for Population Genetic Analysis Release 1.31. Alberta: Canada University of Alberta; 1999
Ilyasov RA, Poskryakov AV, Nikolenko AG, Petukhov AV. Molecular Genetic Analysis of Five Extant Reserves of Black Honeybee Apis melifera meliferain the Urals and the Volga Region. Russian Journal of Genetics. 2016; 52(8):828-839. DOI: 10.1134/S1022795416060053
Cauia E, Usurelu D, Magdalena LM, Cimponeriu D, Apostol P, Siceanu A, Holban A, Gavrila L. Preliminary researches regarding the genetic and morphometric characterization of honeybee ( A. melliferaL.) from Romania. Scientific Papers Animal Science and Biotechnologies. 2008; 41(2):278-286
Franck P, Garnery L, Solignac M, Cornuet JM. The origin of west European subspecies of honeybees ( Apis mellifera): New insights from microsatellite and mitochondrial data. Evolution. 1998; 52(4):1119-1134. DOI: 10.2307/2411242
Garnery L, Franck P, Baudry E, Vautrin D, Cornuet JM, Solignac M. Genetic diversity of the west European honey bee ( Apis mellifera melliferaand A. m. iberica). II. Microsatellite loci. Genetics Selection and Evolution. 1998; 30(1):S49-S74
Bodur C, Kence M, Kence A. Genetic structure of honeybee, Apis melliferaL. (Hymenoptera: Apidae) populations of Turkey inferred from microsatellite analysis. Journal of Apicultural Research. 2007; 46(1):50-56. DOI: 10.3896/IBRA.1.46.1.09
Dall’Olio R, Marino A, Lodesani M, Moritz RFA. Genetic characterization of Italian honey bees, Apis mellifera ligustica, based on microsatellite DNA polymorphisms. Apidologie. 2007; 38(2):207-217. DOI: 10.1051/apido:2006073
Bourgeois L, Sylvester A, Danka R, Rinderer T. Comparison of microsatellite DNA diversity among commercial queen breeder stocks of Italian honey bees in the United States and Italy. Journal of Apicultural Research and Bee World. 2008; 47(2):93-98. DOI: 10.3896/IBRA.1.47.2.01
Moritz RFA, Dietemann V, Crewe R. Determining colony densities in wild honeybee populations ( Apis mellifera) with linked microsatellite DNA markers. Journal of Insect Conservation. 2008; 12(5):455-459. DOI: 10.1007/s10841-007-9078-5
Miguel I, Baylac M, Iriondo M, Manzano C, Garnery L, Estonba A. Both geometric morphometric and microsatellite data consistently support the differentiation of the Apis melliferaM evolutionary branch. Apidologie. 2010; 42:150-161. DOI: 10.1051/apido/2010048
Canovas F, De la Rúa P, Serrano J, Galian J. Microsatellite variability reveals beekeeping influences on Iberian honeybee populations. Apidologie. 2011; 42(3):235-251. DOI: 10.1007/s13592-011-0020-1
Nikolova SR. Genetic variability of local Bulgarian honey bees Apis mellifera macedonica (rodopica)based on microsatellite DNA analysis. Journal of Apicultural. Science. 2011; 55(2):117-129
Oleksa A, Chybicki I, Tofilski A, Burczyk J. Nuclear and mitochondrial patterns of introgression into native dark bees ( Apis mellifera mellifera)in Poland. Journal of Apicultural Research. 2011; 50(2):116-129. DOI: 10.3896/IBRA.1.50.2.03
Muñoz I, De la Rúa P. Temporal analysis of the genetic diversity in a honey bee mating area of an Island population (La Palma, Canary Islands, Spain). Journal of Apicultural. Science. 2012; 56(1):41-49. DOI: 10.2478/v10289-012-0005-y
Nedić N, Francis RM, Stanisavljević L, Pihler I, Kezić N, Bendixen C, Kryger P. Detecting population admixture in the honey bees of Serbia. Journal of Apicultural Research. 2014; 53:303-313. DOI: 10.3896/ibra.184.108.40.206
Nikolova SR, Bienkowska M, Gerula D, Ivanova EN. Microsatellite DNA polymorphism in selectively controlled Apis mellifera carnicaand Apis mellifera caucasicapopulations from Poland. Archives of Biological Sciences. 2015; 67(3):889-894. DOI: 10.2298/ABS141102048N
Techer MA, Clémencet J, Simiand C, Portlouis G, Reynaud B, Delatte H. Genetic diversity of the honeybee ( Apis melliferaL.) populations in the Seychelles archipelago. Insect Conservation and Diversity. 2016; 9(1):13-26. DOI: 10.1111/icad.12138
Ostroverkhova NV, Konusova OL, Kucher AN, Kireeva TN. Investigation of polyandry in honey bees ( Apis mellifera) by microsatellites. Entomological review. 2016; 96(4):389-394. DOI: 10.1134/S0013873816040011
Meixner MD, Büchler R, Costa C, Francis RM, Hatjina F, Kryger P, Uzunov A, Carreck NL. Honey bee genotypes and the environment. Journal of Apicultural Research. 2014; 53(2):183-187. DOI: 10.3896/IBRA.1.53.2.01
Hatjina F, Costa C, Büchler R, Uzunov A, Drazic M, Filipi J, Charistos L, Ruottinen L, Andonov S, Meixner MD, Bienkowska M, Dariusz G, Panasiuk B, Le Conte Y, Wilde J, Berg S, Bouga M, Dyrba W, Kiprijanovska H, Korpela S, Kryger P, Lodesani M, Pechhacker H, Petrov P, Kezic N. Population dynamics of European honey bee genotypes under different environmental conditions. Journal of Apicultural Research. 2014; 53(2):233-247. DOI: 10.3896/IBRA.1.53.2.05