Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
Add more filters










Database
Language
Publication year range
1.
Ann Bot ; 134(2): 311-324, 2024 Jul 09.
Article in English | MEDLINE | ID: mdl-38712800

ABSTRACT

BACKGROUND AND AIMS: The deceptive strategies by which orchids are pollinated and how these are capable of attracting pollinators remain understudied with regard to their implications for plant fitness. Despite their ecological importance, limited investigations have been conducted on sexual deception and shelter mimicry in orchid species, making this a compelling avenue in orchid biology research. To expand the knowledge of these reproductive mechanisms, we studied the pollination of Serapias lingua and S. parviflora in co-occurring and isolated sites in the Balearic Islands (Spain), further accentuated by the presence of a hybrid, indicating shared pollinators. METHODS: We employed bagging and hand pollination experiments to examine the reproductive biology of the two species. Furthermore, we evaluated the influence of phenotypical and ecological factors on reproductive success, including biometric measurements, reproductive performance and neighbourhood diversity (co-flowering and pollinator communities). KEY RESULTS: Reproductive mechanisms between these two orchid species exhibit substantial disparities. Serapias lingua relies primarily on insect-mediated pollination, while S. parviflora demonstrates self-reproduction capacity. Although events of open pollination are rare, hybridization occurs predominantly when S. lingua is the pollen donor. Fruit set in S. parviflora was positively correlated with plant height, while in S. lingua it was negatively associated with flower size. The coexistence of the two species positively affected pollinium removal in S. parviflora, but did not exert an influence on reproductive traits in S. lingua. Overall, biometric parameters were diminished in isolated compared with co-occurring sites. At the community level, the increased diversity of co-flowering species in the vicinity exhibited an inhibitory effect on pollinium removal in S. parviflora. CONCLUSIONS: Under a context of pollinator loss or phenological mismatch between pollinator presence and flowering, the selfing capacity of S. parviflora would guarantee reproduction whereas S. lingua survival would be compromised. Furthers studies are needed to assess the effects of phenotypical and ecological factors on reproductive success of S. lingua in pollinator-decline scenarios.


Subject(s)
Flowers , Orchidaceae , Pollination , Reproduction , Pollination/physiology , Orchidaceae/physiology , Reproduction/physiology , Animals , Flowers/physiology , Spain , Insecta/physiology , Fruit/physiology , Ecosystem , Species Specificity , Pollen/physiology
2.
Arch Insect Biochem Physiol ; 114(1): e22028, 2023 Sep.
Article in English | MEDLINE | ID: mdl-37259187

ABSTRACT

Honeybees are essential for the ecosystem maintenance and for plant production in agriculture. Glyphosate is a broad-spectrum systemic herbicide widely used in crops to control weeds and could affect honeybees' health in sublethal doses. Our aim was to study how sublethal doses of glyphosate affects to oxidative stress and mitochondrial homeostasis in honeybees. We exposed honeybees to glyphosate at 5 and 10 mg·l-1 for 2 and 10 h for the gene expression analysis by reverse transcription polymerase chain reaction and for 48 and 72 h for the antioxidant enzymes activity and lipid peroxidation determination. We observed a general increase in antioxidant- and mitochondrial-related genes expression in honeybees after 2 h of exposition to glyphosate, as well as a rise in catalase and superoxide dismutase enzymatic activity after 48 h and an increment in lipid peroxidation adducts generation after 72 h. These results suggest a direct effect of glyphosate on honeybees' health, with an insufficient response of the antioxidant system to the generated oxidative stress, resulting in an increase in lipid peroxidation and, therefore, oxidative damage. Altogether, results obtained in this work demonstrate that sublethal treatments of glyphosate could directly affect honeybee individuals under laboratory conditions. Therefore, it is necessary to investigate alternatives to glyphosate to determine if they are less harmful to non-target organisms.


Subject(s)
Antioxidants , Herbicides , Bees , Animals , Antioxidants/metabolism , Ecosystem , Oxidative Stress , Glycine/toxicity , Herbicides/toxicity , Glyphosate
3.
Pest Manag Sci ; 79(3): 1225-1233, 2023 Mar.
Article in English | MEDLINE | ID: mdl-36416795

ABSTRACT

BACKGROUND: The yellow-legged hornet (Vespa velutina) is native to Southeast Asia and is an invasive alien species of concern in many countries. More effective management of populations of V. velutina could be achieved through more widespread and intensive monitoring in the field, however current methods are labor intensive and costly. To address this issue, we have assessed the performance of an optical sensor combined with a machine learning model to classify V. velutina and native wasps/hornets and bees. Our aim is to use the results of the present work as a step towards the development of a monitoring solution for V. velutina in the field. RESULTS: We recorded a total 935 flights from three bee species: Apis mellifera, Bombus terrestris and Osmia bicornis; and four wasp/hornet species: Polistes dominula, Vespula germanica, Vespa crabro and V. velutina. The machine learning model achieved an average accuracy for species classification of 80.1 ± 13.9% and 74.5 ± 7.0% for V. velutina. V. crabro had the highest level of misclassification, confused mainly with V. velutina and P. dominula. These results were obtained using a 14-value peak and valley feature derived from the wingbeat power spectral density. CONCLUSION: This study demonstrates that the wingbeat recordings from a flying insect sensor can be used with machine learning methods to differentiate V. velutina from six other Hymenoptera species in the laboratory and this knowledge could be used to help develop a tool for use in integrated invasive alien species management programs. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.


Subject(s)
Bees , Pest Control , Wasps , Animals , Introduced Species , Pest Control/methods , Machine Learning
4.
Pest Manag Sci ; 77(5): 2375-2384, 2021 May.
Article in English | MEDLINE | ID: mdl-33423381

ABSTRACT

BACKGROUND: The yellow-legged hornet, Vespa velutina nigrithorax, is an invasive alien species (IAS) which was accidentally introduced in Europe from Asia. This social insect preys primarily on honeybees but also on other pollinators and insects. Consequently, the establishment of this pest has a negative impact on biodiversity, pollination and economy. There is no clear coordination and uniformed methods for eradication measures between countries. Here we present the first field study of the strategy of eradication of the pest species V. velutina that has been conducted in the westernmost Mediterranean archipelago. RESULTS: We investigated the combination of different eradication methods, such as trapping; the use of the citizen science data for detection of presence, the active search of nests and the removal of nests using mechanical methods. The progression of the number of secondary nests found was 1 (2015), 9 (2016) and 20 (2017), with zero during 2018, 2019 and 2020, and just one embryo nest in 2018. More than half of the nests (58%) were detected thanks to citizen science data. The people sent us adult detections, and we started the triangulation method to find the nests. The last hornet found in the traps was in June 2018. CONCLUSION: Early detections of the IAS are crucial to minimise their effects, and citizen science may offer an important source of information to determine the presence and distribution of V. velutina. The findings we present here indicate successful management for this globally significant pest and could contribute to advance the 'science of eradication'. © 2021 Society of Chemical Industry.


Subject(s)
Introduced Species , Wasps , Adult , Animals , Asia , Bees , Europe , Humans , Mediterranean Islands
5.
Arch Toxicol ; 94(11): 3609-3627, 2020 11.
Article in English | MEDLINE | ID: mdl-32700166

ABSTRACT

Poisonous animals imply a risk to human life, because their venom is a complex mixture of low molecular weight components, peptides and proteins. Hornets use the venom for self-defence, to repel intruders and to capture prey, but they can cause poisoning and allergic reactions to people. In particular, they seem to be a health problem in the countries where they are native due to their sting, which in the most severe cases can lead to severe or fatal systemic anaphylaxis. But this situation is being an emerging problem for new countries and continents because hornet incursions are increasing in the global change scenario, such as in Europe and America. Furthermore, 55 detailed cases of hornet sting were found in 27 papers during the current review where 36.4% died due to, mainly, a multi-organ failure, where renal failure and liver dysfunction were the most common complications. Moreover, the great taxonomic, ecological diversity, geographical distribution and the wide spectrum of pathophysiological symptoms of hornets have been the focus of new research. Considering this, the present systematic review summarizes the current knowledge about the components of Vespa venom and the epidemiology of its sting to serve as reference for the new research focused on the development of techniques for diagnosis, new drugs and treatments of its sting.


Subject(s)
Anaphylaxis , Insect Bites and Stings/epidemiology , Wasp Venoms/chemistry , Wasps/chemistry , Amines/chemistry , Animals , Humans , Hyaluronoglucosaminidase/chemistry , Intercellular Signaling Peptides and Proteins/chemistry , Kinins/chemistry , Peptides/chemistry , Pheromones/chemistry , Phospholipases/chemistry
SELECTION OF CITATIONS
SEARCH DETAIL
...