Rhythmic motor behaviors such as feeding are driven by neural networks that can be modulated by external stimuli and internal states. In Drosophila, ingestion is accomplished by a pump that draws fluid into the esophagus. Here we examine how pumping is regulated and characterize motor neurons innervating the pump. Frequency of pumping is not affected by sucrose concentration or hunger but is altered by fluid viscosity. Inactivating motor neurons disrupts pumping and ingestion, whereas activating them elicits arrhythmic pumping. These motor neurons respond to taste stimuli and show prolonged activity to palatable substances. This work describes an important component of the neural circuit for feeding in Drosophila and is a step toward understanding the rhythmic activity producing ingestion.I n many systems, complex motion is controlled by central pattern generators (CPGs), neural circuits that can produce oscillatory activity independent of sensory input (1, 2). Feeding behaviors such as chewing and sucking require coordinated contraction of different muscle groups in a rhythmic pattern. In Drosophila, ingestion is driven by a pump located in the proboscis (3, 4). Although the mechanics of fluid ingestion have been examined in other insects, the neural circuits controlling ingestion have not been extensively characterized (5-7).The fruit fly Drosophila melanogaster is an excellent model system for examining neural control of fluid ingestion because both neurons and behavior can be studied using molecular and genetic approaches. In Drosophila, feeding begins with detection of a palatable food source followed by proboscis extension and fluid ingestion. Sensory neurons located in the proboscis, legs, mouthparts, wing margins, and ovipositor allow the fly to detect a variety of compounds, including sugars, bitter substances, carbon dioxide, and water (8-10). Many of these neurons send projections to the subesophageal ganglion (SOG) of the fly brain (11). Also located in the SOG are motor neurons that innervate muscles involved in feeding behaviors (12, 13). Two muscles (muscles 11 and 12) constitute a pump; the activity of these muscles fills a chamber (the cibarium) with fluid and expels the fluid into the esophagus (3,4,14). Previous work has identified motor neurons projecting to muscle 11; when these neurons are inhibited, food consumption on a short timescale decreases (15). Although neurons comprising a pump CPG have not been identified, there is evidence for a larval feeding CPG in Drosophila and other insects (16-18).How do pump motor neurons control ingestion? Motor neurons may be passive effectors of a pumping CPG or could contribute to its rhythm. We performed inducible activation and neuronal inhibition experiments to determine how motor neuron activity affects pumping. If motor neurons were passive effectors, activation would lead to prolonged contraction of the target muscles. If motor neuron activity influenced a pumping CPG, activation could produce pumping.In this work we examine the regulation of pu...

The peripheral nervous system of the head is derived from cranial ectodermal placodes and neural crest cells. Placodes arise from thickenings in the cranial ectoderm that invaginate or ingress to form sensory ganglia and the paired sense organs. We have combined embryological techniques with array technology to identify genes that are expressed as a consequence of placode induction. As a secondary screen, we used whole mount in situ hybridization to determine the expression of candidate genes in various placodal domains. The results reveal 52 genes that are found in one or more placodes, including the olfactory, trigeminal, and otic placodes. Expression of some of these genes is retained in placodal derivatives. Furthermore, several genes are common to both neural crest and ectodermal placodes. This study presents the first array of candidate genes implicated in placode development, providing numerous new molecular markers for various stages of placode formation. Importantly, the results uncover previously unknown commonalities in genes expressed by multiple placodes and shared properties between placodes and other migratory cells, like neural crest cells.

To examine the relationships between T cell populations at various stages of development, T cell receptor (TcR) gene rearrangements were compared between the four murine populations of (a) early thymocytes, (b) early splenocytes, (c) adult thymocytes and (d) adult splenocytes. TcR alpha gene rearrangements were shown to progress from 5' to 3' regions of the J alpha locus and from 3' to 5' regions of the V alpha locus during the development of T cells in both the thymus and spleen. Thus, the gene rearrangement potentials of proximal genes varied with age, yielding a biased repertoire in the young vs. adult animal. As evidence that gamma/delta and alpha/beta gene rearrangements appeared concomitantly in individual precursors, it was found that: (a) multiple adult thymocytes bore alpha gene rearrangements on one chromosome and delta gene rearrangements on the homologous chromosome, and (b) V gamma 3-J gamma 1 rearrangements, prominent joins in the early gamma/delta T cell population, were also prominent in the early alpha/beta T cell subset. These data illustrate the non-random nature of the developmental TcR gene rearrangement and suggest that alpha/beta and gamma/delta T cell populations derive from related, if not identical, T cell precursor populations.

Recent studies have demonstrated that the diversity of T-cell receptor alpha (Tcra) gene expression may be confined by a developmental program for gene rearrangement. To examine the effect of age on Tcra gene usage in peripheral tissues, a comparison of Tcr transcripts from newborn and adult mouse splenocytes was made. RNA was first isolated from the spleens of newborn (within five days from birth) and adult B10.BR mice. The polymerase chain reaction was then used to assess the presence of Tcra-V1, Tcra-V2, and Tcra-V3 gene sequences within the two RNA pools. The Tcra-V2 transcript was frequent in both newborn and adult populations and was therefore selected for sequencing analyses, by which V-gene family member and J gene usage could be delineated. Forty-one sequences were obtained, demonstrating Tcra-V2 gene family structure in the B10.BR mouse. Six family members were identified, of which four were new. Although there were differences in gene usage between newborn and adult animals, some junctional diversity added to the repertoire of both populations. A striking feature of V-J joining, as illustrated by this study, was the restriction of combinations based on the J gene location within the Tcra locus. The Tcra-V2 gene of dominant expression in the newborn (B10.BR.6) rearranged exclusively with the 30 most 5' Tcra-J genes. The Tcra-V2 gene of dominant expression at the adult stage (B10.BR.1) rearranged exclusively with the 21 most 3' Tcra-J genes in the locus. Thus, V-J combinatorial diversity was restricted in both newborn and adult mice, yielding a trend from 5'-3' Tcra-J gene usage with age. Inherent restrictions in V-J combinations should now be considered with regard to antigen responsiveness, particularly in the young animal. Qualitative restrictions in Tcr repertoire, compounding low T-cell numbers in peripheral tissues, may well contribute to functional voids and immunodeficiencies in early life.