2 resultados para ACCESSORY OLFACTORY-BULB
em ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha
Resumo:
Neurale Stammzellen sind im adulten Säugerhirn in der Subventrikulären Zone (SVZ) der Lateralventrikel und dem Hippokampus lokalisiert. In der SVZ entstandene neurale Zellen migrieren entlang eines von Astrozyten umgebenen Pfades, dem Rostralmigratorischen Strom (RMS), zum Olfaktorischen Bulbus (OB), wo sie zu olfaktorischen Interneuronen differenzieren. Vaskuläre Wachstumsfaktoren, wie VEGF-A beeinflussen die adulte Neurogenese. Die vorliegende Arbeit beschreibt erstmalig detailliert die spezifische Expression des VEGF-Rezeptor-1 (VEGFR-1) in den Regionen olfaktorischer und hippokampaler Neurogenese des adulten ZNS. Die Ergebnisse zeigen, dass VEGFR-1 im adulten Hirn hauptsächlich in GFAP-positiven Zellen in der SVZ, dem RMS, dem OB, dem Corpus callosum und dem Hippokampus exprimiert ist. In vivo-Analysen transgener Mäuse (Flt-1TK-/-), denen die Signaltransduktionsdomäne des VEGFR-1 fehlt, demonstrieren hier erstmals eine Rolle des VEGFR-1 in adulter Neurogenese. Flt-1TK-/- weisen eine erhöhte Proliferation neuronaler Vorläuferzellen der SVZ auf. Im RMS ist jedoch 6 Tage nach BrdU-Administration die Anzahl markierter Zellen im Vergleich zum Wildtyp (wt) um 47,97% reduziert, ohne dass es zu einer Akkumulation in der SVZ kommt. Zusammen mit der in Kulturversuchen stark erhöhten Migrationsgeschwindigkeit von Neuroblasten der Flt-1TK-/- und einer verminderten Abwanderung von Zellen aus dem RMS ins Corpus callosum der Flt-1Tk-/-, weist dies auf eine gesteigerte Migration zum OB hin. Tatsächlich war der OB der Flt-1TK-/-, vor allem die Plexiform- und Periglomerulärzellschicht (PGL), signifikant vergrößert. Im OB der transgenen Tiere migrieren zudem signifikant mehr BrdU-markierte Zellen in die PGL. Dort differenzieren signifikant mehr Neurone als im wt. Subtypisierungen zeigen, zudem eine erhöhte Differenzierung in dopaminerge Interneurone in der PGL der Flt-1TK-/-. Im Gehirn Flt-1TK-/- war die Konzentration von VEGF-A erhöht. Intrazerebroventrikuläre Infusion von VEGF-A in wt-Tiere erbrachte den eindeutigen Nachweis, dass die Erhöhung der VEGF-A-Konzentration im Gehirn der Flt-1TK-/- ursächlich für die in diesen Tieren beobachtete Reduktion der BrdU-positiven Zellen im RMS ist. Dies ist gleichzeitig der erste Nachweis einer Wirkung von VEGF-A auf Neuroblasten im RMS in vivo unter physiologischen Bedingungen. Die erhöhte VEGF-A-Konzentration könnte auch den anderen hier dargelegten Effekten zugrunde liegen. VEGFR-1 ist somit ein regulatorischer Faktor für die adulte olfaktorische Neurogenese und spielt eine potentielle Rolle in der Differenzierung dopaminerger Interneurone.
Resumo:
Flowers attract honeybees using colour and scent signals. Bimodality (having both scent and colour) in flowers leads to increased visitation rates, but how the signals influence each other in a foraging situation is still quite controversial. We studied four basic questions: When faced with conflicting scent and colour information, will bees choose by scent and ignore the “wrong” colour, or vice versa? To get to the bottom of this question, we trained bees on scent-colour combination AX (rewarded) versus BY (unrewarded) and tested them on AY (previously rewarded colour and unrewarded scent) versus BX (previously rewarded scent and unrewarded colour). It turned out that the result depends on stimulus quality: if the colours are very similar (unsaturated blue and blue-green), bees choose by scent. If they are very different (saturated blue and yellow), bees choose by colour. We used the same scents, lavender and rosemary, in both cases. Our second question was: Are individual bees hardwired to use colour and ignore scent (or vice versa), or can this behaviour be modified, depending on which cue is more readily available in the current foraging context? To study this question, we picked colour-preferring bees and gave them extra training on scent-only stimuli. Afterwards, we tested if their preference had changed, and if they still remembered the scent stimulus they had originally used as their main cue. We came to the conclusion that a colour preference can be reversed through scent-only training. We also gave scent-preferring bees extra training on colour-only stimuli, and tested for a change in their preference. The number of animals tested was too small for statistical tests (n = 4), but a common tendency suggested that colour-only training leads to a preference for colour. A preference to forage by a certain sensory modality therefore appears to be not fixed but flexible, and adapted to the bee’s surroundings. Our third question was: Do bees learn bimodal stimuli as the sum of their parts (elemental learning), or as a new stimulus which is different from the sum of the components’ parts (configural learning)? We trained bees on bimodal stimuli, then tested them on the colour components only, and the scent components only. We performed this experiment with a similar colour set (unsaturated blue and blue-green, as above), and a very different colour set (saturated blue and yellow), but used lavender and rosemary for scent stimuli in both cases. Our experiment yielded unexpected results: with the different colours, the results were best explained by elemental learning, but with the similar colour set, bees exhibited configural learning. Still, their memory of the bimodal compound was excellent. Finally, we looked at reverse-learning. We reverse-trained bees with bimodal stimuli to find out whether bimodality leads to better reverse-learning compared to monomodal stimuli. We trained bees on AX (rewarded) versus BY (unrewarded), then on AX (unrewarded) versus BY (rewarded), and finally on AX (rewarded) and BY (unrewarded) again. We performed this experiment with both colour sets, always using the same two scents (lavender and rosemary). It turned out that bimodality does not help bees “see the pattern” and anticipate the switch. Generally, bees trained on the different colour set performed better than bees trained on the similar colour set, indicating that stimulus salience influences reverse-learning.