Supplementation in vitamin B3 counteracts the negative effects of tryptophan deficiencies in bumble bees

Pesticide Risk Assessment in a Changing World

Pesticide risk assessments currently rely on surrogate species and focus primarily on acute lethality metrics, failing to capture the broader impacts on non-target organisms and thus biodiversity. Under the directives of regulatory agencies worldwide, this traditional approach overlooks the complex interactions between multiple stressors, including climate change, land-use shifts, and pesticide transformation products. Pesticide risk assessments must therefore undergo a paradigm shift to account for these complex interactions, which disproportionately affect insect pollinators, other non-target species, and biodiversity at large. While prior work has highlighted the need to move beyond single-species models, emerging evidence on nonlinear stressor interactions and the ecological consequences of transformation products highlight critical gaps in current frameworks. Here, we synthesize insights from recent research to propose a holistic approach for environmental risk assessments that integrates ecological and evolutionary complexities in the context of global change.

From marginal croplands to natural habitats: A methodological framework for assessing the restoration potential to enhance wild-bee pollination in agricultural landscapes

Context

Intensive agriculture increases crop yields, but harms biodiversity and associated ecosystem services such as pollination. To sustain wild-bee pollination in intensive agricultural landscapes, a minimum of (semi-) natural habitat is needed in the vicinity of crop fields. However, restoration of (semi-) natural habitat is a challenge, especially when most land is allocated to commodity production.

Objectives

To evaluate the restoration potential of marginal lands to enhance pollination in intensive agricultural landscapes.

Methods

We simulated restoration scenarios in marginal agricultural lands (abandoned and degraded fields, and field edges) in La Vallée-du-Richelieu (Quebec, Canada), aimed at enhancing pollination provision and increasing (semi-) natural habitat coverage by at least 20% within 1 km from crop fields, the estimated minimum amount required to sustain wild-bee populations. We then evaluated the extent to which restoration targets were reached in our scenarios.

Results

More than half of the agricultural region studied remained with less than 20% (semi-) natural area coverage, and wild-bee pollination provision could not be ensured across the whole agricultural region after restoration. However, our results show that there is still an important potential for increasing natural habitat coverage by restoring marginal agricultural lands alone.

Conclusion

Restoration of marginal lands has a key role to play in the transition towards multifunctionality of production landscapes but might not be sufficient to achieve goals such as those adopted at the COP15 (e.g., restoring 30% of degraded land). Our framework can assist landscape planners in evaluating the restoration potential of agricultural landscapes, as well as its limitations.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10980-024-01993-y.

Optimization and Detection of Freshness Biomarkers of Atlantic Salmon Subjected to Different Vacuum Packaging Conditions during Storage at 0 °C by Metabolomics and Molecular Docking

The freshness of Atlantic salmon is influenced mainly by tissue metabolism, which in turn is affected by storage time and conditions. The alterations in taste profiles and nutritional values of salmon when packaged using vacuum methods have not been fully understood, and the factors contributing to these changes require further research. In this work, the extraction method for flavor nutrients from salmon was optimized via the Plackett-Burman (PB) test. A sensitive and rapid targeted metabolomics method for the simultaneous determination of 34 nutrients was successfully established via ultra-performance liquid chromatography-triple quadrupole/linear ion trap composite mass spectrometry (UHPLC-QTRAP/MS), and various nutritional compositions during storage at 0 °C under different vacuum conditions (0 kPa or -90 kPa) for 4 and 8 days were analyzed. Results showed that storage time had a significant effect on salmon metabolism. The total amino acids decreased by 62.95% and 65.89% at 0 kPa and -90 kPa, respectively. Notably, a marked reduction in histidine after 8 days at -90 kPa may have diminished bitterness, while decreased levels of umami-tasting amino acids like glutamine and aspartic acid affected the overall flavor profile. Overall, the packaging conditions at 0 °C and 0 kPa were more suitable for the preservation of most nutrients in salmon. Pathway enrichment analysis revealed that the reduction in substances was mainly related to the alanine, aspartate, and glutamate metabolism pathways. Alanine, inosine, and histidine, whose levels changed significantly, can bind to the typical umami taste receptor TIR1/TIR3 and can be biomarkers to monitor and determine the freshness or spoilage of salmon after 4-8 days of storage. This study revealed the changes in small-molecule nutrients in salmon during storage under different packaging conditions, which provides a reference for the packaging preservation technology of fresh salmon and new ideas for the evaluation of salmon quality and determination of freshness.

Phytochemical profiling of red raspberry (Rubus idaeus L.) honey and investigation of compounds related to its pollen occurrence

BACKGROUND

Red raspberry (Rubus idaeus L.) is an important nectar source for honey production in some specific habitats as well as an important crop, so the definition of the features of this kind of honey is noteworthy. However, due to its rarity on the market, red raspberry honey is poorly characterized. The aim of this work was the phytochemical characterization of honey containing red raspberry from different geographical origins, through melissopalynological analyses concurrently with untargeted metabolomics achieved with different chromatographic techniques coupled to mass spectrometry: solid-phase micro-extraction/gas chromatography/mass spectrometry (SPME-GC-MS) and high-performance liquid chromatography/Orbitrap mass spectrometry (HPLC-Orbitrap).

RESULTS

Only 4 out of the 12 samples involved in the study contained raspberry pollen as dominant pollen, although these honeys did not group in the hierarchical cluster analysis nor in the classical multidimensional scaling analyses used for data evaluation. The first result was the detection of mislabelling in two samples, which contained raspberry pollen only as minor or important minor pollen. Of the 188 compounds identified by HPLC-Orbitrap and of the 260 identified by SPME-GC-MS, 87 and 31 compounds were present in all samples, respectively. The structurally related compounds nicotinaldehyde and nicotinamide, nicotinic acid and nicotinyl alcohol were present in 100% of the samples and correlated with R. idaeus pollen count (r > 0.60, Pearson's correlation analysis).

CONCLUSION

This study reveals important aspects about the characterization of red raspberry honey and could give new insights on bee diet and preferences, since niacin compounds resulted interestingly to be related to the presence of red raspberry pollen. © 2024 Society of Chemical Industry.

Pollen nutrition structures bee and plant community interactions

As bees' main source of protein and lipids, pollen is critical for their development, reproduction, and health. Plant species vary considerably in the macronutrient content of their pollen, and research in bee model systems has established that this variation both modulates performance and guides floral choice. Yet, how variation in pollen chemistry shapes interactions between plants and bees in natural communities is an open question, essential for both understanding the nutritional dynamics of plant-pollinator mutualisms and informing their conservation. To fill this gap, we asked how pollen nutrition (relative protein and lipid content) sampled from 109 co-flowering plant species structured visitation patterns observed among 75 subgenera of pollen-collecting bees in the Great Basin/Eastern Sierra region (USA). We found that the degree of similarity in co-flowering plant species' pollen nutrition predicted similarity among their visitor communities, even after accounting for floral morphology and phylogeny. Consideration of pollen nutrition also shed light on the structure of this interaction network: Bee subgenera and plant genera were arranged into distinct, interconnected groups, delineated by differences in pollen macronutrient values, revealing potential nutritional niches. Importantly, variation in pollen nutrition alone (high in protein, high in lipid, or balanced) did not predict the diversity of bee visitors, indicating that plant species offering complementary pollen nutrition may be equally valuable in supporting bee diversity. Nutritional diversity should thus be a key consideration when selecting plants for habitat restoration, and a nutritionally explicit perspective is needed when considering reward systems involved in the community ecology of pollination.