Research Article |
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Corresponding author: Carlos F. Pinto ( cpintonavia@gmail.com ) Academic editor: Christopher K. Starr
© 2025 Marcia Adler, Mariela Ajhuacho-Villalobos, Luis Flores-Prado, Santiago Benitez-Vieyra, Kathy Collao-Alvarado, Carlos F. Pinto.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Adler M, Ajhuacho-Villalobos M, Flores-Prado L, Benitez-Vieyra S, Collao-Alvarado K, Pinto CF (2025) Dominance of Capsicum minutiflorum (Solanaceae) pollen in stingless bee hives: An insight into protein composition and foraging behavior by four Meliponini species of the Bolivian-Tucumano forest. Journal of Hymenoptera Research 98: 689-708. https://doi.org/10.3897/jhr.98.138703
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Stingless bees (Apidae: Meliponini) primarily feed on nectar and pollen from a wide diversity of flowering plants. By doing so they pollinate these flowers thus contributing to biodiversity and ecosystem stability. The pollen they collect provides essential nutrients for brood rearing and colony growth. This study aimed to characterize the floral resources available to stingless bees in a Tucumano-Boliviano Forest, including their pollen protein content and, through construction of an interaction network and preference analysis, understand their foraging behavior. Only 8 out of 25 pollen types sampled within the study site around the meliponaries were collected by the bees. Pollen pots also contained many types of pollen not from to plant species in the study area. Pollen from Capsicum minutiflorum (Solanaceae) was dominant in almost every hive (up to 98.7% of pollen composition). Additionally, protein content of Capsicum minutiflorum pollen (67% w/w) was the highest of all species present at the study site and explained almost 100% of the protein content in the hives of Tetragonisca angustula, and Scaptotrigona depilis, and almost 80% and 75% of the protein content in those of Scaptotrigona polysticta and Melipona rufiventris, respectively. These results suggest that stingless bees preferentially collect pollen with higher protein content.
Bee nutrition, Melipona, plant–pollinator interactions, pollen preferences, Scaptotrigona, Tetragonisca
Bees are considered among the most effective pollinators, and they play a fundamental role in the maintenance of biodiversity and stability of ecosystems. This is especially true in the tropics, where due to the high plant diversity, and consequent low density of the different plant species, plants are more dependent on their pollinators (
Stingless bees feed on nectar as their primary carbohydrate source and pollen as main protein source, although pollen also provides amino acids, lipids, carbohydrates, sterols, and various micronutrients; thus, pollen constitutes a nutritionally diverse and highly valuable reward (Roulston and Cane 2000;
As meliponiculture in Bolivia continues to grow as a socio-economic activity, particularly for vulnerable populations, it becomes important to conduct in-depth studies of the behavior and requirements of these bees (
The Bolivian-Tucumano forest is characterized by a mesotropical subhumid pluviseasonal bioclimate, with an average annual rainfall of 915 mm and an average temperature of 25 °C. The upper forest occupies an altitudinal range between 1100 and 1800 meters above sea level. The most common plant species in the area are “cedro” (Cedrela lilloi), “tipa” (Tipuana tipu), “morado” (Machaerium scleroxylon), “palo barroso” (Blepharocalyx salicifolius), “mato” or “sahuinto” (Myrcianthes pseudomato), “laurel” (Cinnamomum porphyria), “roble” (Amburana cearensis), “nogal” (Juglans australis), among others (
A map of South America, locating in green Bolivia B map of Bolivia, locating in green the department of Chuquisaca. The black dot point the study area C satellite image of the study area within the department of Chuquisaca. The red dots point the location of the meliponaries D vegetation in the study area.
Floral and pollen sampling was conducted at the end of the rainy season (March) in 2022, to determine the pollen offer available for the bees during the study period. To establish the sampling area surrounding the meliponaries, the estimated flight range of the studied bee species (Tetragonisca angustula, Scaptotrigona depilis, S. polysticta and Melipona rufiventris) was considered, resulting in a sampling plot of 800 × 800 m around each meliponary (
For the identification of the botanical specimens, the family was first determined by comparing them with the collections of the Herbarium of Southern Bolivia (HSB). Additionally, a comparative analysis was performed by comparing the specimens with the descriptions available on the World Flora Online platform (www.worldfloraonline.org) and the Catalog of the Vascular Plants of Bolivia (
In order to estimate pollen demand, pollen was extracted directly from 3 pollen pots of each hive and mixed together. Pollen was extracted from 8 hives of Tetragonisca angustula, locally known as “señorita”. Of these 8 hives, 5 were in Meliponary 1 (Mel-1) and 3 in Meliponary 3 (Mel-3). Samples from 2 hives of Melipona rufiventris, locally known as “Erereú”, were collected from Mel-3. Finally, samples from 5 hives of Scaptotrigona depilis and 5 hives of Scaptotrigona polysticta, both locally known as “Negros”, were collected from Meliponary 2 (Mel-2). All pollen samples were kept in sterile vials with filter paper at a temperature of 4 °C.
The collected plant material was identified by specialists using taxonomical keys. Voucher specimens served afterwards as a reference collection for the pollen reference collection.
The pollen collected from the flowers in the study area (5 flowers of each species) and the pollen collected from the beehive pots were subjected to an acetolysis process (
Acetolyzed pollen was observed through an optical microscope (AmScope MU1000) at 400 × magnification. It was photographed using a Boeco digital camera (B-CAM10), and measurements of the lengths of the polar and equatorial sides were recorded. To assess the volume of pollen grains, they were assigned to distinct geometric shapes following
To quantify the different pollen types in the flowers and the pots, a Neubauer chamber was used into which 15 µl of the final acetolysis solution was deposited and pollen grains counted. This procedure was repeated three times, and the three counts were averaged. After all pollen types were quantified the percentage of occurrence of each pollen type was determined and the Neubauer formula was applied to calculate pollen density in the flowers (
Protein analyses were performed following the Bradford protocol (
The Sorensen’s Similarity Index (SSI) was calculated to evaluate the similarity of the pollen species in the pots at the intra- and inter-specific levels (
Spearman’s rank correlation was used to test for an association between the volume, relative abundance and protein content of pollen.
To construct an interaction network between pollinators and plants visited, a sampling method was chosen which was based on the pollen volume found in the pollen pots from the hives. The use of stored pollen has several advantages over observing visitation rate. Firstly, it results from the temporal accumulation of interactions between bees and plants over a moderately long period of time. Secondly, only the pollen actually collected is stored, which avoids considering casual visits to flowers that are not a regular part of the bees’ preferences. Thirdly, it allows for the recording of interactions with plants that may have low abundance in the study system and would not have been detected otherwise (
To better visualize this network, an interaction matrix was constructed between the four bee species and the plant species (or pollen morphotypes in the case of unidentified or unobserved plant species in the area). The intensity of the interaction was defined as the proportion of pollen volume from a particular plant species found in the pots. Volume was used instead of number of pollen grains because the presence of numerous small pollen grains in the sample could bias the result in favor of plant species with such pollen type. Several metrics were calculated of the interaction network using the network level functions of the bipartite package of the free software R version 4.2.1 (2023). Thus, the network’s structure was described using metrics of specialization (H2’), connectance (C), modularity (Q), and nestedness (NODF). Additionally, the measure of specialization of each of the bee species was calculated using the Shannon diversity index, as an independent measure of the network structure.
For each bee species, the percentage of the pollen volume in the beehive pots originating from each plant species was calculated. Only plants contributing more than 1% of the total volume were considered. Similarly, percentage contribution of each plant species to this content estimated.
The protein content of a pot (CP) was calculated as follows:
A total of 25 plant species categorized into 17 families, were at the flowering stage in the sampling area defined. Most of the observed species were herbs (16 species), and only 4 species of lianas, 4 of trees and one bush showed flowers during the survey period. The dominant plant species at the flowering stage was identified as the liana Heteropterys umbellata (Malphigiaceae), with a relative abundance of 13.64%, followed by the herb Asclepia curassavica (Apocynaceae) (10.91%) (Table
Family and species of the floral species at the flowering stage in the study site available by the end of the rainy season in the Boliviano-Tucumano Forest of Chuquisaca, Bolivia. The four largest values of each data column are highlighted in bold type.
| Family | Specie | Habitus | Relative abundance (%) | Pollen density (grains/mm3) | Proteic content (%w/w) | Pollen Grain Volume (μm3) | Pollen size category |
|---|---|---|---|---|---|---|---|
| Acanthaceae | Justicia ramulosa | Herb | 5.45 | 45 | 0.29 | 106453 | Large |
| Apocynaceae | Asclepia curassavica | Herb | 10.91 | 22 | 0.29 | 4831 | Small |
| Apocynaceae | Oxypetalum sp. | Liana | 5.45 | 12 | 0.52 | 1921 | Small |
| Asteraceae | Hymenostephium jebile | Herb | 2.73 | 200 | 0.31 | 16914 | medium |
| Asteraceae | Pectis sp. | Herb | 2.73 | 988 | 0.35 | 6143 | Small |
| Asteraceae | Heterosperma sp. | Herb | 0.91 | 300 | 0.43 | 4280 | Small |
| Commelinaceae | Commelina sp. | Herb | 2.73 | 185 | 0.26 | 30178 | medium |
| Convolvulaceae | Convolvulaceae sp. | Liana | 4.55 | 245 | 0.54 | 37288 | medium |
| Euphorbiaceae | Croton sp. | Herb | 1.82 | 100 | 0.48 | 130240 | Large |
| Fabaceae | Inga saltensis | Tree | 4.55 | 133 | 0.50 | 529117 | very Large |
| Fabaceae | Desmodium sp. | Herb | 1.82 | 100 | 0.43 | 119932 | Large |
| Fabaceae | Inga adenophylla | Tree | 0.91 | 167 | 9350 | medium | |
| Lamiaceae | Salvia sp. | Herb | 0.91 | 278 | 0.44 | 7710 | Small |
| Malpighiaceae | Heteropterys umbellata | Liana | 13.64 | 267 | 0.47 | 41167 | medium |
| Malvaceae | Sida argentina | Herb | 0.91 | 312 | 0.29 | 1334016 | very Large |
| Malvaceae | Sida sp. | Herb | 0.91 | 155 | 0.40 | 782698 | very Large |
| Onagraceae | Ludwigia peruviana | Herb | 5.45 | 11267 | 0.40 | 66007 | Large |
| Piperaceae | Piper elongatum | Herb | 4.55 | 1392045 | 0.20 | 699 | Small |
| Plumbaginaceae | Plumbago sp. | Herb | 1.82 | 67 | 0.34 | 189948 | Large |
| Rubiaceae | Hamelia patens | Tree | 4.55 | 5300 | 0.52 | 9729 | medium |
| Rubiaceae | Richardia sp. | Herb | 4.55 | 3112 | 0.52 | 8074 | Small |
| Sapindaceae | Serjania sp. | Liana | 6.36 | 112 | 0.47 | 5423 | Small |
| Solanaceae | Capsicum minutiflorum | Bush | 6.36 | 533 | 0.67 | 8330 | Small |
| Solanaceae | Solanum riparium | Tree | 4.55 | 433 | 0.47 | 2719 | Small |
| Talinaceae | Talinum sp. | Herb | 0.91 | 78 | 0.24 | 140109 | Large |
Pollen density, defined as the number of pollen grains per unit volume and calculated using the Neubauer formula, varied significantly among the studied plant species. The highest pollen density was recorded in Piper elongatum, with 1392045 pollen grains per mm3. Ludwigia peruviana followed with less than 1/10 of pollen density (11267), and the flowers with the lowest pollen density were Oxypetalum sp. with just 12 pollen grains per mm3, and Asclepia curassavica with 22 pollen grains per mm3 (Table
In terms of cytoplasmic volume, the species with the grates cytoplasmatic volume was Sida anrgentina (Malvaceae), with 1334016 μm3, followed by Sida sp. (Malvaceae) with 782698 μm3. On the other hand, the species with the smallest volume was Piper enlongatum (Piperaceae) with 699 μm3, followed by Oxypetalum sp. (Apocynaceae) with 1921 μm3. No significant correlation was found between pollen quantity and cytoplasmic volume (p = 0.1911, rho = -0.2704), suggesting that pollen grain abundance does not necessarily correspond to pollen grain size.
The protein content from the collected flower species varied from 67% in Capsicum minutiflorum, to 20% in Piper elongatum (Table
In total, in all pot-pollen samples, 23 pollen types were identified: 14 in the pollen types from M. rufiventris, 13 in S. polysticta, 10 in S. depilis and 5 in T. angustula (Table
Pollen types identified and pollen species composition. Percentage (%) of pollen volume in the pot-pollen from the four bee species studied. Msp stands for the unidentified morphospecies. Species that were also collected in the study site are highlighted in bold type.
| Family – Genus | Melipona rufiventris (%) | Scaptotrigona depilis (%) | Scaptotrigona polysticta (%) | Tetragonisca angustula (%) |
|---|---|---|---|---|
| Alternanthera sp. | 0 | 0.2 | 0 | 0 |
| Amarantaceae sp. | 0 | 0 | 0 | 0 |
| Baccharis sp. | 0 | 0 | 0 | 0 |
| Capsicum minutiflorum | 66.6 | 96 | 71.9 | 98.8 |
| Convolvulaceae sp. | 0 | 0 | 0 | 0 |
| Croton sp. | 0 | 0.7 | 0.2 | 0 |
| Desmodium sp. | 0 | 0 | 0 | 0 |
| Hamelia patens | 0 | 0 | 0 | 0 |
| Heteropterys umbellata | 0 | 0 | 0 | 0 |
| Heterosperma sp. | 0 | 0 | 0.2 | 0 |
| Inga adenophylla | 0.1 | 0 | 0 | 0 |
| Inga saltensis | 0.1 | 0 | 0 | 0 |
| Msp 1 | 0 | 0 | 0 | 0 |
| Msp 2 | 0 | 0 | 0.3 | 0 |
| Msp 3 | 0 | 0 | 0.4 | 1.2 |
| Myrtaceae sp. 1 | 0 | 0 | 0 | 0 |
| Myrtaceae sp. 2 | 0 | 0 | 1.3 | 0 |
| Plumbago sp. | 10.1 | 0 | 0 | 0 |
| Poaceae sp. | 0 | 0 | 0 | 0 |
| Primulaceae sp. 1 | 0.1 | 0 | 0.1 | 0 |
| Primulaceae sp. 2 | 0 | 0 | 0 | 0 |
| Proteaceae sp. 1 | 10.7 | 2.6 | 23.2 | 0 |
| Proteaceae sp. 2 | 11.5 | 0 | 0 | 0 |
| Sapindaceae sp. | 0.5 | 0.4 | 0.8 | 0 |
| Solanum riparium | 0 | 0 | 1.6 | 0 |
| Zuccagnia punctata | 0.3 | 0 | 0 | 0 |
A very eye-catching result was the dominance of one particular pollen species in almost every hive studied (Fig.
The average for every bee species, pollen composition between the different species, varied from very different to similar, with a Sorensen index between 26.7% to 69.6% similarity. The Sørensen Similarity Index (SSI) calculated for the percentage of the different pollen types found in the pollen samples from every beehive from the four bee species, demonstrated that between hives of the same species, there was almost always a great similarity (over 50%). The only exception was S. polysticta where some hives showed low similarity indexes (Table
Sorensen similarity index between bee hives of the same bee species. SSI was calculated between hives (H1 to H5) of the same species in each meliponary.
| Sorensen similarity Index | |||||
|---|---|---|---|---|---|
| Hives | Meliponary 1 | Meliponary 2 | Meliponary 3 | ||
| T. angustula | S. depilis | S. polysticta | M. rufiventris | T. angustula | |
| H 1 - H 2 | 80.00 | 80.00 | 61.54 | 92.32 | 0.99 |
| H 1 - H 3 | 66.67 | 80.00 | 42.86 | − | 1.00 |
| H 1 - H 4 | 66.67 | 75.00 | 75.00 | − | 0.99 |
| H 1 - H 5 | 100.00 | 71.43 | 63.16 | − | − |
| H 2 - H 3 | 57.14 | 100.00 | 66.67 | − | − |
| H 2 - H 4 | 57.14 | 82.35 | 72.73 | − | − |
| H 2 - H 5 | 80.00 | 93.33 | 28.57 | − | − |
| H 3 - H 4 | 100.00 | 82.35 | 66.67 | − | − |
| H 3 - H 5 | 66.67 | 93.33 | 53.33 | − | − |
| H 4 - H 5 | 66.67 | 87.50 | 58.82 | − | − |
Based on pollen species composition found in the pot pollen for every bee species, the calculated network exhibited an intermediate level of complementary specialization with H’ = 0.516, a high connectance with C = 41.667%, an intermediate level of nestedness with a NODF value of 49.603, and nearly no modularity with Q = 0.163.
Interactions were predominantly driven by the interaction between the four bee species and Capsicum minutiflorum (Fig.
Regarding the proportion of the protein content in the stored pots that can be attributed to each plant species, Capsicum minutiflorum explained almost 100% of the protein content in T. angustula and S. depilis. However, almost 20% of the protein content in the reserves of S. polysticta could be attributed to Proteaceae sp.1, and almost 25% of the protein content in the reserves of M. rufiventris could be attributed to Plumbago sp., Proteaceae sp.1 and Proteaceae sp.2 pollen grains (Fig.
According to the width of the taxonomic spectrum of plant species used as pollen sources by bees, they are classified as oligolectic if they forage on plant species belonging to one or several closely related genera, and as polylectic if they obtain pollen from plants from two or more families (
The present results show that the species studied are polylectic but nevertheless exhibit pollen selectivity. This conclusion is based on three facts: a) the diversity of pollen types that were collected which belong to more than one family; 9 in M. rufiventris (Asteraceae, Fabaceae, Myrtaceae, Plumbaginaceae, Primulaceae, Proteaceae, Sapindaceae, Solanaceae, and one unidentified family), 10 in S. polysticta (Solanaceae, Proteaceae, Sapindaceae, Myrtaceae, Asteraceae, Primulaceae, Fabaceae, Euphorbiaceae, and two unidentified families), 9 in S. depilis (Solanaceae, Proteaceae, Sapindaceae, Myrtaceae, Amaranthaceae, Asteraceae, Primulaceae, Euphorbiaceae, and Convolvulaceae) and 5 in T. angustula (Solanaceae, Proteaceae, Poaceae, Amarantaceae and one unidentified family, b) only 8 out of 25 pollen types identified around the meliponaries within the study site were collected by the bees studied; 6 in M. rufiventris (Capsicum minutiflorum, Plumbago sp., Sapindaceae sp., Heterosperma sp., Inga adenophylla, I. saltensis), 5 in S. polysticta (C. minutiflorum, Sapindaceae sp., Heterosperma sp., Croton sp., I. saltensis), 5 in S. depilis (C. minutiflorum, Sapindaceae sp., Heterosperma sp., Croton sp., Convolvulaceae sp.), and 1 in T. angustula (C. minutiflorum). And c) the pollen collected by the four bee species belong mostly to a single plant genus; Capsicum.
Bees consume nectar for their own nourishment and typically collect pollen (plus nectar) as food for their offspring, transporting it to the nest via body hairs, scopae or using corbiculae (in the case of eusocial corbiculate bees) (
Thus, differences in protein content may influence bees’ foraging decisions (
The present results show that bees are indeed able to sample pollen differentially since, in spite of the high abundance and diversity of plant species surrounding the meliponaries they collected few pollen types and showed strong preference for one (i.e., Capsicum minutiflorum) with the highest protein content. Moreover, other species with relatively high protein content and abundance (e.g. Oxypetalum sp., Richardia sp. and Hamelia patens) were collected in much smaller proportions than C. minutiflorum, and three plant species (Asclepia curassavica, Heteropterys umbellate and Serjania sp.) around the hives which had the same or more relative abundance than C. minutiflorum (Asclepia curassavica, Heteropterys umbellate and Serjania sp.) and lower protein content than C. minutiflorum were not found in pollen pots of the hives.
The foraging preferences of Stingless bees presented in this study align with findings obtained in Stingless bees from Brazil, where families like Fabaceae and Myrtaceae frequently dominate the diets (
Solitary bees construct a pollen mass inside of each cell where immature develops, as results of several foraging flights (
Quantity and size of collected pollen may also influence foraging decisions. Thus, bees may collect higher quantities of nutritionally poor pollen to compensate for its low quality (
Additionally, an interesting observation was the identification of Solanum riparium pollen in pot samples of S. polysticta and S. depilis. Although the amount calculated was very low (6.37 and 0.09, respectively), on the basis of its protein content S. riparium reach the position number 8 out of 24 plant species. In the same line, a recent study reported that pollen of Solanum genus had a higher protein concentration than most of plant genera visited by bees (
Other studies found that crude protein as the protein-to-lipid ratio in pollen are strongly correlated with plant phylogeny and pollinator dependency, as a consequence of selection imposed by pollinator preferences, leading pollen nutrient contents and ratios to co-evolved with the needs of their insect pollinator partners (
The bipartite network of bees and plants showed a high degree of connectance, i.e. the number of observed interactions in relation to the total number of possible interactions. Likely, this is a consequence of the sampling method, as data form pollen pots reflect interactions that are not easy to observe in a plant-centered sampling. This seems to be the case, as we even recorded interactions with plants that were not detected in the sampling area of 160000 m2 around each meliponary. Similar high connectance was obtained by
We would like to acknowledge Reinaldo Lozano for support in the collection and identification of plant species. We are indebted to all meliponiculturists who kindly let us collect the pollen samples, as well as to Fundación PASOS for their logistic support.
This research was funded by the International Science Programme at Uppsala University (ISP), under grant BOL-01. The study was supported by, the Center for International Health of the University Hospital Munich (LMU), and the OH-TARGET project supported by the German Academic Exchange Service (DAAD) with funds from the Federal Ministry for Economic Cooperation and Development (BMZ)–Germany.” and “The APC was funded by the International Science Programme at Uppsala University (ISP), under grant BOL-01 and Universidad San Francisco Xavier ”.