The light growth response of Phycomyces.

With the help of an automated tracking system we have studied the characteristics of the transient light growth response of Phycomyces. The response shows a sharply defined latency. The Q(10) of the reciprocal latency is 2.4. Response patterns at different peaks of the action spectrum are the same. The gradual variation of response magnitude over a wide range of adapted intensifies parallels that of phototropism. The responses to saturating stimuli exhibit a strong oscillation with a constant period of 1.6 min and variable damping. The growth responses to sinusoidally varying light intensities show a system bandwidth of 2.5 x 10(-3) Hz. The linear dependence of phase shift on frequency is largely attributable to the latency observed with pulse stimuli. In the high intensity range a previously suspected increase of the steady-state growth rate with intensity has been confirmed. The light growth responses of mutants selected for diminished phototropism have been investigated. Many of these mutants have sizable but grossly distorted growth responses.

Light and dark adaptation in Phycomyces light-growth response.

Sporangiophores of the fungus Phycomyces exhibit adaptation to light stimuli over a dynamic range of 10(10). This range applies to both phototropism and the closely related light-growth response; in the latter response, the elongation rate is modulated transiently by changes in the light intensity. We have performed light- and dark-adaptation experiments on growing sporangiophores using an automated tracking machine that allows a continuous measurement of growth velocity under controlled conditions. The results are examined in terms of the adaptation model of Delbrück and Reichardt (1956, Cellular Mechanisms in Differentiation and Growth, 3-44). The "level of adaptation," A, was inferred from responses to test pulses of light by means of a series of intensity-response curves. For dark adaptation to steps down in the normal intensity range (10(-6)-10(-2) W/m2), A decays exponentially with a time constant b = 6.1 +/- 0.3 min. This result is in agreement with the model. Higher-order kinetics are indicated, however, for dark adaptation in the high-intensity range (10(-2)-1 W/m2). Adaptation in this range is compared with predictions of a model relating changes in A to the inactivation and recovery of a receptor pigment. In response to steps up in intensity in the normal range, A was found to increase rapidly, overshoot the applied intensity level, and then relax to that level within 40 min. These results are incompatible with the Delbrück-Reichardt model or any simple generalizations of it. The asymmetry and overshoot are similar to adaptation phenomena observed in systems as diverse as bacterial chemotaxis and human vision. It appears likely that light and dark adaptation in Phycomyces are mediated by altogether different processes.

Wavelength dependence of dark adaptation in Phycomyces phototropism.

The wavelength dependence of phototropic dark adaptation in Phycomyces was studied between 347 and 545 nm. Dark adaptation kinetics were measured for wavelengths of 383, 409, 477, and 507 nm in the intensity range from 6.2 X 10(-2) to 2 X 10(-7) W X m-2. At these wavelengths, dark adaptation follows a biexponential decay as found previously with broadband blue light (Russo, V. E. A., and P. Galland, 1980, Struct. Bonding., 41:71; Lipson, E. D., and S. M. Block, 1983, J. Gen. Physiol., 81:845). We have found that the time constants of the fast and slow components depend critically on the wavelength. At 507 nm, dark adaptation kinetics were found to be monophasic. The phototropic latency after a step down by a factor of 500 was measured for 19 different wavelengths. Maximal latencies were found at 383, 477, and 530 nm; minimal latencies were found at 409 and 507 nm. With irradiation programs that employ different wavelengths before and after the step down, the dark adaptation kinetics depend critically on the sequence in which the two wavelengths are given. We have found too that not only do the adaptation kinetics vary with wavelength, but so also do the phototropic bending rate and the phototropic latencies in experiments without intensity change. The results imply that more than one photoreceptor is mediating phototropism in Phycomyces and that sensory adaptation is regulated by these photoreceptors.

Effect of calcium on dark adaptation in Phycomyces phototropism.

Adaptation processes enable phototropism of Phycomyces to operate over a 10-decade range of blue-light intensity (1 nW m-2-10 W m-2). To investigate the influence of calcium on dark adaptation, the phototropic latency method was employed with the modification that sporangiophores were temporarily immersed in solutions containing CaCl2 or LaCl3. Following such treatment, the time course of bending was found to have two components with distinct latencies and bending rates. After immersion in darkness for 30 min in LaCl3 solution or 1 h in a solution of CaCl2, MgCl2, or the calcium chelator EGTA, each sporangiophore was adapted to a blue light beam (1 W m-2) for 45 min by rotation around its vertical axis. Cessation of rotation defined the onset of the phototropic stimulus, at which time the intensity was reduced by as much as 10(3)-fold. For a 10(2)-fold reduction (to 10(-2) W m-2), immersion in CaCl2 (10-100 microM) reduces the latency 13 min for the early bending component and 18 min for the late component, whereas treatment with the calcium-channel blocker lanthanum (0.1-11 microM LaCl3) increases the latency 12 min for the early component and 13 min for the late component. EGTA (10 microM) also had an inhibitory effect, increasing the latency of the first and the second components by 7 and 10 min, respectively. In experiments performed similarly, but without the light adaptation treatment after immersion, no differences between calcium-treated and control sporangiophores were found. The bending rates of both components show only a weak dependence on calcium.(ABSTRACT TRUNCATED AT 250 WORDS)

Light-controlled adaptation kinetics in Phycomyces: evidence for a novel yellow-light absorbing pigment.

When sporangiophores of the fungus Phycomyces blakesleeanus adapt from high to low fluence rate, dark adaptation (sensitivity recovery) can be accelerated by dim subliminal light [Galland et al. (1989) Photochem. Photobiol. 49, 485-491]. We measured fluence rate-response curves for this acceleration under the following conditions. After sporangiophores were initially adapted symmetrically to a fluence rate of 1 W m-2 (447 nm), they were exposed to unilateral subliminal light (subthreshold for phototropism) of variable wavelength and fluence rate, and then to unilateral test light (447 nm) of fluence rate either 10(-3) or 10(-5) W m-2. The duration of the subliminal light was chosen so that phototropism would not occur during this period. Phototropic latencies could be shortened by subliminal light that was less intense than the test light by several orders of magnitude. In experiments with the final unilateral light of fluence rate 10(-3) W m-2, the 447 nm subliminal light had a threshold (for the acceleration effect) of about 10(-11) W m-2. Yellow light of wavelength 575 nm, which itself is extremely ineffective for phototropism was extremely effective in shortening phototropic latencies in response in response to the test light. At 575 nm, the threshold was about 2 x 10(-12) W m-2. Conversely, near-UV light of wavelength 347 nm, which is highly effective for phototropism, was relatively ineffective (threshold approximately 7 x 10(-8) W m-2) in shortening the phototropic latency. Our results suggest the presence of a novel yellow-light absorbing pigment in Phycomyces that specifically regulates dark adaptation.(ABSTRACT TRUNCATED AT 250 WORDS)

Subliminal light control of dark adaptation kinetics in Phycomyces phototropism.

The dark adaptation kinetics of Phycomyces phototropism depend critically on the experimental protocol. When sporangiophores that had been light-adapted to a fluence rate of 1 W m-2 at 447 nm were exposed to dim unilateral light, the adaptation kinetics showed exponential decay (6 min time constant). However, when light-adapted sporangiophores were kept for variable intervals in darkness (i.e. in presence of traditional red safelight) and then exposed to dim unilateral test light, the decay kinetics of adaptation were biexponential with a rapid decay during the first minute (1 min time constant), followed by a slow recovery (11 min time constant). Thus, the dim subliminal light given after the sporangiophores had been adapted to 1 W m-2, was actually perceived, and exerted control over the dark-adaptation process. The observed acceleration of dark-adaptation kinetics constitutes a novel light effect of the sporangiophore. At wavelength 383 nm this effect was not observed. Because a beta-carotene lacking mutant, L91 (genotype carB), was unmodified in dark-adaptation kinetics measured in the presence or absence of subliminal light, it appears that beta-carotene is not involved in the photocontrol of adaptation.

Action spectrum for subliminal light control of adaptation in Phycomyces phototropism.

Adaptation processes enable phototropism and other blue light responses of Phycomyces to operate over a 10-decade range of fluence rate. Phototropic latency, used routinely to monitor the kinetics of sensitivity recovery after a step down in fluence rate, can be shortened by application of dim light for 35 min during the early part of the latency period. This light is termed subliminal, because it does not elicit phototropism under these experimental conditions; rather, it exerts its influence on the underlying adaptation kinetics. Fluence rate-response data for this latency reduction, obtained at 17 wavelengths of subliminal light from 347 to 742 nm, showed a variety of shapes that could be fit by zero, one, or two sigmoidal components, plus a constant term. At most wavelengths, the fluence-rate threshold for latency reduction by subliminal light tended to be well below the absolute threshold for phototropism, indicating that this effect is highly sensitive. An action spectrum for the sensitivity of the subliminal light effect, derived from the fluence rate-response curves, shows major peaks around 400 and 500 nm and a broad band from 570 to 670 nm, followed by a steep absorption edge. The sensitivity in the near ultraviolet region is relatively very low. The magnitude of the latency reduction also depends strongly on wavelength with a maximum at about 450 nm. The fluence-rate response data and the action spectrum--which is markedly different from that for phototropism and other blue-light responses of Phycomyces--indicate the participation of multiple pigments, or pigment states, in the photocontrol of adaptation.

Action spectra for photogravitropism of Phycomyces wild type and three behavioral mutants (L150, L152, and L154).

We have measured fluence rate-response curves and action spectra for photogravitropism in Phycomyces wild type and in three recently isolated mutants with elevated phototropic thresholds. The action spectra were determined from least-squares fits of a sigmoidal function to the fluence rate-response data for each wavelength. The action spectrum for wild type has maxima near 383, 413, 452, and 490 nm and minima near 397, 425, and 469 nm. This photogravitropism action spectrum is very similar to the Phycomyces phototropic balance action spectrum between 413 but has significantly higher effectiveness below 400 nm and above 490 nm. These differences may be caused by dichroic effects of the oriented receptor pigment and/or by multiple receptor pigments. The action spectra of the three mutants differ significantly from one another and from that of wild type. Relative to the wild type spectrum, all three mutants exhibit a suppression in effectiveness near 425 nm, which is near the transmission peak of the broadband blue filter used to isolate the mutants.

Computerized method for nonrigid MR-to-PET breast-image registration.

We have developed and tested a new simple computerized finite element method (FEM) approach to MR-to-PET nonrigid breast-image registration. The method requires five-nine fiducial skin markers (FSMs) visible in MRI and PET that need to be located in the same spots on the breast and two on the flanks during both scans. Patients need to be similarly positioned prone during MRI and PET scans. This is accomplished by means of a low gamma-ray attenuation breast coil replica used as the breast support during the PET scan. We demonstrate that, under such conditions, the observed FSM displacement vectors between MR and PET images, distributed piecewise linearly over the breast volume, produce a deformed FEM mesh that reasonably approximates nonrigid deformation of the breast tissue between the MRI and PET scans. This method, which does not require a biomechanical breast tissue model, is robust and fast. Contrary to other approaches utilizing voxel intensity-based similarity measures or surface matching, our method works for matching MR with pure molecular images (i.e. PET or SPECT only). Our method does not require a good initialization and would not be trapped by local minima during registration process. All processing including FSMs detection and matching, and mesh generation can be fully automated. We tested our method on MR and PET breast images acquired for 15 subjects. The procedure yielded good quality images with an average target registration error below 4mm (i.e. well below PET spatial resolution of 6-7 mm). Based on the results obtained for 15 subjects studied to date, we conclude that this is a very fast and a well-performing method for MR-to-PET breast-image nonrigid registration. Therefore, it is a promising approach in clinical practice. This method can be easily applied to nonrigid registration of MRI or CT of any type of soft-tissue images to their molecular counterparts such as obtained using PET and SPECT.

White noise analysis of Phycomyces light growth response system. II. Extended intensity ranges.

By means of white gaussian noise stimulation, the Wiener kernels are derived for the Phycomyces light growth response for a variety of intensity conditions. In one experiment the intensity I, rather than log I, is used as the input variable. Under the very limited dynamic range of that experiment, the response is fairly linear. To examine the dependence of the kernels on dynamic range, a series of experiments were performed in which the range of log I was halved and doubled relative to normal. The amplitude of the kernels, but not the time course, is affected strongly by the choice of dynamic range, and the dependence reveals large-scale nonlinearities not evident in the kernels themselves. In addition kernels are evaluated for experiments at a number of absolute intensity levels ranging from 10(-12) to 10(-3) W/cm2. The kernel amplitudes are maximal at about 10(-6) W/cm2. At 10(-12) W/cm2, just above the absolute threshold, the respond is very small. The falloff at high intensity, attributable to inactivation of the photoreceptor, is analyzed in the framework of a first-order pigment kinetics model, yielding estimates for the partial extinction coefficient for inactivation epsilonI455 = (1.5 +/- 0.2) X 10(4) liter/mol-cm and a regeneration time constant of tau = (2.7 +/- 0.6) min. A model is introduced which associates the processes of adaptation and photoreceptor inactivation. The model predicts that the time constants for adaptation and pigment should be identical. This prediction is consistent with values in this and the preceding paper. The effects of pigment inactivation are simulated by a linear electronic analog circuit element, which may be cascaded with the linear simulator circuit in the preceding paper.

White noise analysis of Phycomyces light growth response system. III. Photomutants.

Wiener kernels have been measured for the light growth response of a number of mutants of Phycomyces which show abnormal phototropism (mad mutants). Representative mutants were chosen from the six complementation groups (madA to madF) associated with the light response pathway. One group, madA, associated with the input part of the pathway, exhibits an essentially normal response provided it is tested above its moderate threshold. The groups madB and madC appear more defective, in that their kernel amplitudes are very small even above their thresholds. Their similarity to each other suggests a close functional connection between the respective genes. The remaining three groups (madD, madE, and madF) have all been associated with the output of the pathway. Tbe kernels for all three indicate a gain reduction, which depends gradually on intensity. These three groups appear to have the same absolute threshold as wild-type. None of the mutants studied shows special behavior at high intensity that could be evidence of alterations in the photoreceptor complex.

White noise analysis of Phycomyces light growth response system. I. Normal intensity range.

The Wiener-Lee-Schetzen method for the identification of a nonlinear system through white gaussian noise stimulation was applied to the transient light growth response of the sporangiophore of Phycomyces. In order to cover a moderate dynamic range of light intensity I, the imput variable was defined to be log I. The experiments were performed in the normal range of light intensity, centered about I0 = 10(-6) W/cm2. The kernels of the Wierner functionals were computed up to second order. Within the range of a few decades the system is reasonably linear with log I. The main nonlinear feature of the second-order kernel corresponds to the property of rectification. Power spectral analysis reveals that the slow dynamics of the system are of at least fifth order. The system can be represented approximately by a linear transfer function, including a first-order high-pass (adaptation) filter with a 4 min time constant and an underdamped fourth-order low-pass filter. Accordingly a linear electronic circuit was constructed to simulate the small scale response characteristics. In terms of the adaptation model of Delbrück and Reichardt (1956, in Cellular Mechanisms in Differentiation and Growth, Princeton University Press), kernels were deduced for the dynamic dependence of the growth velocity (output) on the "subjective intensity", a presumed internal variable. Finally the linear electronic simulator above was generalized to accommodate the large scale nonlinearity of the adaptation model and to serve as a tool for deeper test of the model.

Action spectra of the light-growth response in three behavioral mutants of Phycomyces.

Null-point action spectra of the light-growth response were measured for three mutants of Phycomyces blakesleeanus (Burgeff) and compared with the action spectrum of the wild type (WT). The action spectrum for L150, a recently isolated "night-blind" mutant, differs from the WT spectrum. The L150 action spectrum has a depression near 450 nm and small alterations in its long-wavelength cutoff, the same spectral regions where its photogravitropism action spectrum is altered. This indicates that the affected gene product influences both phototropism and the light-growth response. For L85, a "hypertropic" (madH) mutant, the light-growth-response action spectrum is very similar to that of WT even though the photogravitropism action spectrum of L85 has been shown previously to be altered in the near-UV region. The affected gene product in this mutant appears to affect phototropic transduction but not light-growth-response transduction. The action spectrum of C110, a "stiff" (madE) mutant, differs significantly from the WT spectrum near 500 nm, the same spectral region where sporangiophores of madE mutants have been shown to have small alterations in second-derivative absorption spectra. This indicates that the madE gene product may be physically associated with a photoreceptor complex, as predicted by system-analysis studies.

System analysis of Phycomyces light-growth response in single and double night-blind mutants.

The sum-of-sinusoids method of nonlinear system identification has been applied to the light-growth response of the Phycomyces sporangiophore. Experiments were performed on the Phycomyces tracking machine with the wild-type strain with single and double mutants affected in genes madA, madB, and madC. The sum-of-sinusoids test stimuli were applied to the logarithm of the light intensity. The log-mean intensity level was 10(-1) W m-2 and the wavelength was 477 nm. The system identification results are in the form of first- and second-order frequency kernels, which are related to temporal kernels that appear in the Wiener functional series. The first-order kernels agree well with those obtained previously by the white noise method. In particular, the madA madB and madB madC double mutants show very weak responses. With the superior precision of the sum-of-sinusoids methods, we have achieved sufficient resolution to measure and analyze their second-order kernels. The first- and second-order frequency kernels were interpreted by system analysis methods involving a nonlinear parametric model. In addition a nonparametric hypothesis concerning interactions of gene products was tested. Results from the interaction tests confirm the earlier conclusion that the madB and madC gene products interact. In addition, with the enhanced precision and with the extension to nonlinear analysis, we have found evidence of interaction of the madA gene product with the madB and madC gene products. Thus all three genes appear to have mutual interactions, presumably because of their close physical association in a photoreceptor complex.

Blue-light reception in Phycomyces phototropism: evidence for two photosystems operating in low- and high-intensity ranges.

Phototropism in the fungus Phycomyces is mediated by two photosystems that are optimized for the low-intensity region (below 10(-6) W X m-2) and the high-intensity region (above 10(-6) W X m-2). These photosystems can be distinguished under special experimental conditions, in which sporangiophores grown in the dark are suddenly exposed to continuous unilateral light. With this treatment, the bending occurs in two steps. Below 10(-6) W X m-2, an early-response component (15-min latency) and a late-response component (50- to 70-min latency) are observed that are mediated by photosystem I. Above 10(-6) W X m-2, the early component is augmented by an intermediate component with a 40-min delay that is mediated by photosystem II. The two photosystems are distinguished further by their wavelength sensitivities and adaptation kinetics. Photosystem I is more effective at 334, 347, and 550 nm than photosystem II, but it is less effective at 383 nm. At wavelength 450 nm, the dark-adaptation kinetics associated with photosystem I are approximately half as fast as those associated with photosystem II. However, the light-adaptation kinetics of photosystem I are approximately equal to 3 times faster than the kinetics associated with photosystem II. The existence of two photosystems clarifies several behavioral features of Phycomyces and helps explain how the sporangiophore can manage the full range of 10 decades.

System analysis of Phycomyces light-growth response with Gaussian white-noise test stimuli.

The light-growth response of the Phycomyces sporangiophore is a transient change of elongation rate in response to changes in ambient blue-light intensity. The white-noise method of nonlinear system identification (Wiener-Lee-Schetzen theory) has been applied to this response, and the results have been interpreted by system analysis methods in the frequency domain. Experiments were performed on the Phycomyces tracking machine. Gaussian white-noise stimulus patterns were applied to the logarithm of the light intensity. The log-mean intensity of the broad-band blue illumination was 0.1 Wm-2 and the standard deviation of the Gaussian white-noise was 0.58 decades. The results, in the form of temporal functions called Wiener kernels, represent the input-output relation of the light-growth response system. The transfer function, which was obtained as the Fourier transform of the first-order kernel, was analyzed in the frequency domain in terms of a dynamic model that consisted of a first-order high-pass filter, two second-order low-pass filters, a delay element, and a gain factor. Parameters in the model (cutoff frequencies, damping coefficients, latency, and gain constant) were evaluated by nonlinear least-squares methods applied to the complex-valued transfer function. Analysis of the second-order kernel in the frequency domain suggests that the residual nonlinearity of the system lies close to the input.

Growth rate fluctuations in phycomyces sporangiophores.

The growth rate of the Phycomyces sporangiophore fluctuates under constant environmental conditions. These fluctuations underlie the well-characterized sensory responses to environmental changes. We compared growth fluctuations in sporangiophores of unstimulated wild type and behavioral mutants by use of maximum entropy spectral analysis, a mathematical technique that estimates the frequency and amplitude of oscillations in a time series. The mutants studied are believed to be altered near the input ("night-blind") or output ("stiff" and "hypertropic") of the photosensory transduction chain. The maximum entropy spectrum of wild type shows a sharp drop-off in spectral density above 0.3 millihertz, several minor peaks between 0.3 and 10 millihertz, and a broad maximum near 10 millihertz. Similar spectra were obtained for a night-blind mutant and a hypertropic mutant. In contrast, the spectra of three stiff mutants, defective in genes madD, madE, or madG, had distinctive peaks near 1.6 mHz and harmonics of this frequency. A madF stiff mutant, which is less stiff than madD, madE, and madG mutants, had a spectrum intermediate between wild type and the three other stiff mutants. Our results indicate that alterations in one or more steps associated with growth regulation output cause the Phycomyces sporangiophore to express a rhythmic growth rate.

Electrophoretic analysis of proteins from Phycomyces mutants with abnormal tropisms.

Certain phototropism mutants of Phycomyces blakesleeanus show defective bending responses (tropisms) to stimuli besides light, such as gravity, wind, and barriers. These so-called "stiff" mutants are affected in four genes (madD to madG). Using two-dimensional gel electrophoresis, we have analyzed polypeptides from microsomal and soluble fractions obtained from the wild type, four single mutants, and six double mutants affected in all pairwise combinations of the four genes. Consistent differences in spot patterns for madE and madF mutants were found in microsomal fractions but not in soluble fractions. In madE mutants, two spots designated E1 (52 kDa, pI 6.65) and E2 (50 kDa, pI 6.65) were altered. E1 appeared denser in the wild type than in the madE mutants, while the reverse was true for E2. The spots E1 and E2 are probably under regulatory control by madE, perhaps involving posttranslational modification. A protein spot, F1 (53 kDa, pI 6.1), was present on the wild-type gels but absent from all gels for madF mutants. The F1 polypeptide probably represents the madF gene product.