Parameters of the wing imaginal disc development ofDrosophila melanogaster

Garcı́a-Bellido, Antonio; Merriam, John R.

doi:10.1016/0012-1606(71)90047-9

Cited by 343 publications

(144 citation statements)

References 15 publications

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“…Because imaginal disc growth trajectories have been best elucidated in the wing (Garcia-Bellido & Merriam 1971;Madhavan & Schneiderman 1977;Martin 1982;Bryant & Levinson 1985;Milan et al 1996), we will use the wing as an example imaginal disc. Nevertheless, the embryo L1 L2 L3 puparium pupa embryo L1 L2 L3 puparium pupa parameters of the model can be changed to explore the allometric regulation of other discs.…”

Section: A Model Of Nutritional Static Allometry Expression In Drosopmentioning

confidence: 99%

Developmental model of static allometry in holometabolous insects

2008

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The regulation of static allometry is a fundamental developmental process, yet little is understood of the mechanisms that ensure organs scale correctly across a range of body sizes. Recent studies have revealed the physiological and genetic mechanisms that control nutritional variation in the final body and organ size in holometabolous insects. The implications these mechanisms have for the regulation of static allometry is, however, unknown. Here, we formulate a mathematical description of the nutritional control of body and organ size in Drosophila melanogaster and use it to explore how the developmental regulators of size influence static allometry. The model suggests that the slope of nutritional static allometries, the 'allometric coefficient', is controlled by the relative sensitivity of an organ's growth rate to changes in nutrition, and the relative duration of development when nutrition affects an organ's final size. The model also predicts that, in order to maintain correct scaling, sensitivity to changes in nutrition varies among organs, and within organs through time. We present experimental data that support these predictions. By revealing how specific physiological and genetic regulators of size influence allometry, the model serves to identify developmental processes upon which evolution may act to alter scaling relationships.

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Section: A Model Of Nutritional Static Allometry Expression In Drosopmentioning

confidence: 99%

Developmental model of static allometry in holometabolous insects

2008

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“…The larval and adult epidermis of Drosophila contains thousands of SOs that are distributed according to a stereotyped pattern. Each SO is formed by the progeny of a single cell, the sensory mother cell (SMC), which, during the third larval instar or early pupal stages, is singled out from the population of imaginal discs cells or abdominal histoblasts (Bate, 1978;Bodmer et al, 1989;GarcõÂ a-Bellido and Merriam, 1971;Hartenstein and Posakony, 1989). Genetic analysis of loss and gain-of-function mutations in the achaete-scute complex (AS-C) indicated that it was involved in the commitment of epidermal cells to di erentiate as SOs and that the AS-C might be under some type of negative regulation (GarcõÂ a-Bellido and SantamarõÂ a 1978; GarcõÂ a- Bellido, 1979).…”

Section: Identi®cation Of Extramacrochaetaementioning

confidence: 99%

Emc, a negative HLH regulator with multiple functions in Drosophila development

Campuzano

2001

Oncogene

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Expression and functional analyses of Emc have demonstrated that it is a prototype for a protein required for multiple processes in development. Initially characterized as a negative regulator of sensory organ development, it was later found to regulate many other developmental processes and cell proliferation. Its ability to block the function of bHLH proteins by forming heterodimers, which are ine ective in DNA binding, accounts for the role of Emc in preventing the acquisition of several cell fates which are under the control of bHLH proteins. However, while maintaining this repressive molecular mechanism, emc also appears to act as a positive regulator of di erentiation. Oncogene (2001) 20, 8299 ± 8307

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“…The analysis of the growth curves of average-sized clones over the entire disc allowed us to determine the average cell-cycle duration in this organ, which was 9.6 h. A value of 8.5 h was found in earlier work analyzing the growth rate of mosaic clones recorded on the adult cuticle (Garcia-Bellido and Merriam, 1971). This discrepancy may be explained by the averaging of the cell-cycle duration over many developmental stages, used by Garcia-Bellido and Merriam, whereas, in our approach, the cell-cycle duration is averaged over the last 10 h of the third larval instar, which is close to the duration of one cycle.…”

Section: Discussionmentioning

confidence: 83%

“…In the fate mapping of blastoderm cell groups, a distance, defined as the probability of a mosaic patch boundary separating two structures, is used. The earliest data on the parameters of Drosophila cell cycle were also obtained through analyzing the growth of mosaic patches induced at different time points in development and recorded in the cuticle of adults (Garcia-Bellido and Merriam, 1971). In the mid-1990s, there was a revival in interest in mosaic clones in developmental research, as it was demonstrated that this type of analysis allowed proliferation centers, and the role of wing veins in their demarcation, to be detected (Gonzalez-Gaitan et al, 1994).…”

Section: Introductionmentioning

confidence: 99%

Analysis of cell proliferation in Drosophila wing imaginal discs using mosaic clones

Dubatolova

Omelyanchuk

2004

Heredity

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Experimental data on spatial and temporal distributions of mosaic clones in Drosophila wing imaginal disc were analyzed. Long-lived proliferation centers (PR1, PR2, and PR3) and areas with decreased proliferation activity were found in the notum region of the disc. Simulation of the growth kinetics of mosaic patches demonstrated that the cell cycle in proliferation centers PR2 and PR3 was shorter than the average cycle in the disc and in the center PR1. A nonrandom clustering of rapidly dividing cells was observed in the PR2, but not in the other cases. The reason why the cell-cycle duration and the clustering of dividing cells may not coincide is discussed in terms of the recruitment of nondividing cells into the cell cycle. The simulation of the time course of the first and second moments of the size distribution of mosaic clones allowed the variance of cellcycle progression rates to be determined and demonstrated that a model with a continuous cell-cycle rates gave a better fit to the data than the transition probability model of Smith and Martin.

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Parameters of the wing imaginal disc development ofDrosophila melanogaster

Cited by 343 publications

References 15 publications

Developmental model of static allometry in holometabolous insects

Developmental model of static allometry in holometabolous insects

Emc, a negative HLH regulator with multiple functions in Drosophila development

Analysis of cell proliferation in Drosophila wing imaginal discs using mosaic clones

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