Microsurgical and laser ablation analysis of leaf positioning and dorsoventral patterning in tomato

Leaves are arranged according to regular patterns, a phenomenon referred to as phyllotaxis. Important determinants of phyllotaxis are the divergence angle between successive leaves, and the size of the leaves relative to the shoot axis. Young leaf primordia are thought to provide positional information to the meristem, thereby influencing the positioning of new primordia and hence the divergence angle. On the contrary, the meristem signals to the primordia to establish their dorsoventral polarity, which is a prerequisite for the formation of a leaf blade. These concepts originate from classical microsurgical studies carried out between the 1920s and the 1970s. Even though these techniques have been abandoned in favor of genetic analysis, the resulting insights remain a cornerstone of plant developmental biology. Here, we employ new microsurgical techniques to reassess and extend the classical studies on phyllotaxis and leaf polarity. Previous experiments have indicated that the isolation of an incipient primordium by a tangential incision caused a change of divergence angle between the two subsequent primordia, indicating that pre-existing primordia influence further phyllotaxis. Here.. we repeat these experiments and compare them with the results of laser ablation of incipient primordia. Furthermore. we explore to what extent the different pre-existing primordia influence the size and position of new organs. and hence phyllotaxis. We propose that the two youngest primordia (P-1 and P-2) are sufficient for the approximate positioning of the incipient primordium (I-1), and therefore for the perpetuation of the generative spiral, whereas the direct contact neighbours of I-1 (P-2 and P-3) control its delimitation and hence its exact size and position. Finally. we report L I specific cell ablation experiments suggesting that the meristem L-1 layer is essential for the dorsoventral patterning of leaf primordia.

A new Time-Of-Flight Mass Spectrometer (TOF-MS) for noble gas analysis

Noble gas analysis in early solar system materials, which can provide valuable information about early solar system processes and timescales, are very challenging because of extremely low noble gas concentrations (ppt). We therefore developed a new compact sized (33 cm length, 7.2cm diameter, 1.3 L internal volume) Time-of-Flight (TOF) noble gas mass spectrometer for high sensitivity. We call it as Edel Gas Time-of-flight (EGT) mass spectrometer. The instrument uses electron impact ionization coupled to an ion trap, which allows us to ionize and measure all noble gas isotopes. Using a reflectron set-up improves the mass resolution. In addition, the reflectron set-up also enables some extra focusing. The detection is via MCPs and the signals are processed either via ADC or TDC systems. The objective of this work is to understand the newly developed Time-Of-Flight (TOF) mass spectrometer for noble gas analysis in presolar grains of the meteorites. Chapter 1 briefly introduces the basic idea and importance of the instrument. The physics relevant to time-of-flight mass spectrometry technique is discussed in the Chapter 2 and Chapter 3 will present the oxidation technique of nanodiamonds of the presolar grains by using copper oxide. Chapter 4 will present the details about EGT data analysis software. Chapter 5 and Chapter 6 will explain the details about EGT design and operation. Finally, the performance results will be presented and discussed in the Chapter 7, and whole work is summarized in Chapter 8 and also outlook of the future work is given.

Widespread Signals of Convergent Adaptation to High Altitude in Asia and America

Living at high altitude is one of the most difficult challenges that humans had to cope with during their evolution. Whereas several genomic studies have revealed some of the genetic bases of adaptations in Tibetan, Andean, and Ethiopian populations, relatively little evidence of convergent evolution to altitude in different continents has accumulated. This lack of evidence can be due to truly different evolutionary responses, but it can also be due to the low power of former studies that have mainly focused on populations from a single geographical region or performed separate analyses on multiple pairs of populations to avoid problems linked to shared histories between some populations. We introduce here a hierarchical Bayesian method to detect local adaptation that can deal with complex demographic histories. Our method can identify selection occurring at different scales, as well as convergent adaptation in different regions. We apply our approach to the analysis of a large SNP data set from low- and high-altitude human populations from America and Asia. The simultaneous analysis of these two geographic areas allows us to identify several candidate genome regions for altitudinal selection, and we show that convergent evolution among continents has been quite common. In addition to identifying several genes and biological processes involved in high-altitude adaptation, we identify two specific biological pathways that could have evolved in both continents to counter toxic effects induced by hypoxia.

Time-varying signal analysis to detect high-altitude periodic breathing in climbers ascending to extreme altitude.

This work investigates the performance of cardiorespiratory analysis detecting periodic breathing (PB) in chest wall recordings in mountaineers climbing to extreme altitude. The breathing patterns of 34 mountaineers were monitored unobtrusively by inductance plethysmography, ECG and pulse oximetry using a portable recorder during climbs at altitudes between 4497 and 7546 m on Mt. Muztagh Ata. The minute ventilation (VE) and heart rate (HR) signals were studied, to identify visually scored PB, applying time-varying spectral, coherence and entropy analysis. In 411 climbing periods, 30-120 min in duration, high values of mean power (MP(VE)) and slope (MSlope(VE)) of the modulation frequency band of VE, accurately identified PB, with an area under the ROC curve of 88 and 89%, respectively. Prolonged stay at altitude was associated with an increase in PB. During PB episodes, higher peak power of ventilatory (MP(VE)) and cardiac (MP(LF)(HR) ) oscillations and cardiorespiratory coherence (MP(LF)(Coher)), but reduced ventilation entropy (SampEn(VE)), was observed. Therefore, the characterization of cardiorespiratory dynamics by the analysis of VE and HR signals accurately identifies PB and effects of altitude acclimatization, providing promising tools for investigating physiologic effects of environmental exposures and diseases.

Bargaining for power and information : an experimental and theoretical analysis of the interaction between institutions, externalities and adverse selection

Bargaining is the building block of many economic interactions, ranging from bilateral to multilateral encounters and from situations in which the actors are individuals to negotiations between firms or countries. In all these settings, economists have been intrigued for a long time by the fact that some projects, trades or agreements are not realized even though they are mutually beneficial. On the one hand, this has been explained by incomplete information. A firm may not be willing to offer a wage that is acceptable to a qualified worker, because it knows that there are also unqualified workers and cannot distinguish between the two types. This phenomenon is known as adverse selection. On the other hand, it has been argued that even with complete information, the presence of externalities may impede efficient outcomes. To see this, consider the example of climate change. If a subset of countries agrees to curb emissions, non-participant regions benefit from the signatories’ efforts without incurring costs. These free riding opportunities give rise to incentives to strategically improve ones bargaining power that work against the formation of a global agreement. This thesis is concerned with extending our understanding of both factors, adverse selection and externalities. The findings are based on empirical evidence from original laboratory experiments as well as game theoretic modeling. On a very general note, it is demonstrated that the institutions through which agents interact matter to a large extent. Insights are provided about which institutions we should expect to perform better than others, at least in terms of aggregate welfare. Chapters 1 and 2 focus on the problem of adverse selection. Effective operation of markets and other institutions often depends on good information transmission properties. In terms of the example introduced above, a firm is only willing to offer high wages if it receives enough positive signals about the worker’s quality during the application and wage bargaining process. In Chapter 1, it will be shown that repeated interaction coupled with time costs facilitates information transmission. By making the wage bargaining process costly for the worker, the firm is able to obtain more accurate information about the worker’s type. The cost could be pure time cost from delaying agreement or cost of effort arising from a multi-step interviewing process. In Chapter 2, I abstract from time cost and show that communication can play a similar role. The simple fact that a worker states to be of high quality may be informative. In Chapter 3, the focus is on a different source of inefficiency. Agents strive for bargaining power and thus may be motivated by incentives that are at odds with the socially efficient outcome. I have already mentioned the example of climate change. Other examples are coalitions within committees that are formed to secure voting power to block outcomes or groups that commit to different technological standards although a single standard would be optimal (e.g. the format war between HD and BlueRay). It will be shown that such inefficiencies are directly linked to the presence of externalities and a certain degree of irreversibility in actions. I now discuss the three articles in more detail. In Chapter 1, Olivier Bochet and I study a simple bilateral bargaining institution that eliminates trade failures arising from incomplete information. In this setting, a buyer makes offers to a seller in order to acquire a good. Whenever an offer is rejected by the seller, the buyer may submit a further offer. Bargaining is costly, because both parties suffer a (small) time cost after any rejection. The difficulties arise, because the good can be of low or high quality and the quality of the good is only known to the seller. Indeed, without the possibility to make repeated offers, it is too risky for the buyer to offer prices that allow for trade of high quality goods. When allowing for repeated offers, however, at equilibrium both types of goods trade with probability one. We provide an experimental test of these predictions. Buyers gather information about sellers using specific price offers and rates of trade are high, much as the model’s qualitative predictions. We also observe a persistent over-delay before trade occurs, and this mitigates efficiency substantially. Possible channels for over-delay are identified in the form of two behavioral assumptions missing from the standard model, loss aversion (buyers) and haggling (sellers), which reconcile the data with the theoretical predictions. Chapter 2 also studies adverse selection, but interaction between buyers and sellers now takes place within a market rather than isolated pairs. Remarkably, in a market it suffices to let agents communicate in a very simple manner to mitigate trade failures. The key insight is that better informed agents (sellers) are willing to truthfully reveal their private information, because by doing so they are able to reduce search frictions and attract more buyers. Behavior observed in the experimental sessions closely follows the theoretical predictions. As a consequence, costless and non-binding communication (cheap talk) significantly raises rates of trade and welfare. Previous experiments have documented that cheap talk alleviates inefficiencies due to asymmetric information. These findings are explained by pro-social preferences and lie aversion. I use appropriate control treatments to show that such consideration play only a minor role in our market. Instead, the experiment highlights the ability to organize markets as a new channel through which communication can facilitate trade in the presence of private information. In Chapter 3, I theoretically explore coalition formation via multilateral bargaining under complete information. The environment studied is extremely rich in the sense that the model allows for all kinds of externalities. This is achieved by using so-called partition functions, which pin down a coalitional worth for each possible coalition in each possible coalition structure. It is found that although binding agreements can be written, efficiency is not guaranteed, because the negotiation process is inherently non-cooperative. The prospects of cooperation are shown to crucially depend on i) the degree to which players can renegotiate and gradually build up agreements and ii) the absence of a certain type of externalities that can loosely be described as incentives to free ride. Moreover, the willingness to concede bargaining power is identified as a novel reason for gradualism. Another key contribution of the study is that it identifies a strong connection between the Core, one of the most important concepts in cooperative game theory, and the set of environments for which efficiency is attained even without renegotiation.

Biochemical and genetic analysis of two protein kinases JNKK2 and MEKK3

Mitogen-activated protein kinase (MAPK) cascades are conserved eukaryotic signaling modules consisting of a MAPK, a MAPKK and a MAP3K. MAPK cascades are involved in many cellular responses including proliferation, differentiation, apoptosis, stress and immune responses. ^ The first part of this thesis describes the cloning and biochemical analysis of JNKK2, a member of MAPKK gene family. Our results demonstrate that JNKK2 is a specific JNK activator and activates the JNK-dependent signal transduction pathway in vivo by inducing c-Jun and ATF2-mediated gene expression. We also found that JNKK2 is specifically activated by a MAP3K MEKK2 through formation of MEKK2-JNKK2-JNK1 triple complex module. JNKK2 is likely to mediate specific upstream signals to activate JNK cascade. ^ The second part of this thesis describes biochemical and gene disruption analysis of MEKK3, a member of MAP3K gene family. We showed that overexpression of MEKK3 strongly activates both JNK and p38 MAPKs but only weakly activates ERK. MEKK−/− embryos die at about embryonic day (E) 11. MEKK3−/− embryos displayed defects in blood vessel development in the yolk sacs, and in the myocardium and endocardium development at E9.5. The angiogenesis in the head, intersomitic region and placenta was also abnormal. These results demonstrate that MEKK3, a member of MAP3K MEKK/STE11 subgene family, is essential for early embryonic cardiovascular development. Furthermore, it was found that disruption of MEKK3 did not alter the expression of vascular endothelial growth factor-1 (VEGF-1), angiopoietin-1, -2 and their respective receptors Flt-1, Flk-1, Tie-1, Tie-2. Finally, MEKK3 was shown to activate myocyte-specific enhancer factor 2C (MEF2C), a crucial transcription factor for early embryonic cardiovascular development through the p38 MAPK cascade, suggesting that MEF2C is one of the key targets of the MEEKK3 signaling pathway during early embryonic cardiovascular development. ^

Confocal analysis of synaptic connectivity of the rod pathway in the rabbit retina

The retina is a specialized neuronal structure that transforms the optical image into electrical signals which are transmitted to the brain via the optic nerve. As part of the strategy to cover a stimulus range as broad as 10 log units, from dim starlight to bright sunlight, retinal circuits are broadly divided into rod and cone pathways, responsible for dark and light-adapted vision, respectively. ^ In this dissertation, confocal microscopy and immunocytochemical methods were combined to study the synaptic connectivity of the rod pathway from the level of individual synapses to whole populations of neurons. The study was focused on synaptic interactions at the rod bipolar terminal. The purpose is to understand the synaptic structure of the dyad synapse made by rod bipolar terminals, including the synaptic components and connections, and their physiological functions in the rod pathway. In addition, some additional components and connections of the rod pathway were also studied in these experiments. The major results can be summarized as following: At the dyad synapse of rod bipolar terminals, three postsynaptic components—processes of All amacrine cells and the varicosities of S1 or S2 amacrine cells express different glutamate receptor subunits, which may underlie the functional diversity of these postsynaptic neurons. A reciprocal feedback system is formed by rod bipolar terminals and S1/S2 amacrine cells. Analysis showed these two wide-field GABA amacrine cells have stereotyped synaptic connections with the appropriate morphology and distribution to perform specific functions. In addition, S1 and S2 cells have different coupling patterns and, in general, there is no coupling between the two types. Besides the classic rod pathway though rod bipolar cells and All amacrine cells, the finding of direct connections between certain types of OFF cone bipolar cells and rods indicates the presence of an alternative rod pathway in the rabbit retina. ^ In summary, this dissertation presents a detailed view of the connection and receptors at rod bipolar terminals. Based on the morphology, distribution and coupling, different functional roles were identified for S1 and S2 amacrine cells. Finally, an alternative to the classic rod pathway was found in the rabbit retina. ^

Integrating sequence information in microarray data analysis by free energy modeling

Microarray technology is a high-throughput method for genotyping and gene expression profiling. Limited sensitivity and specificity are one of the essential problems for this technology. Most of existing methods of microarray data analysis have an apparent limitation for they merely deal with the numerical part of microarray data and have made little use of gene sequence information. Because it's the gene sequences that precisely define the physical objects being measured by a microarray, it is natural to make the gene sequences an essential part of the data analysis. This dissertation focused on the development of free energy models to integrate sequence information in microarray data analysis. The models were used to characterize the mechanism of hybridization on microarrays and enhance sensitivity and specificity of microarray measurements. ^ Cross-hybridization is a major obstacle factor for the sensitivity and specificity of microarray measurements. In this dissertation, we evaluated the scope of cross-hybridization problem on short-oligo microarrays. The results showed that cross hybridization on arrays is mostly caused by oligo fragments with a run of 10 to 16 nucleotides complementary to the probes. Furthermore, a free-energy based model was proposed to quantify the amount of cross-hybridization signal on each probe. This model treats cross-hybridization as an integral effect of the interactions between a probe and various off-target oligo fragments. Using public spike-in datasets, the model showed high accuracy in predicting the cross-hybridization signals on those probes whose intended targets are absent in the sample. ^ Several prospective models were proposed to improve Positional Dependent Nearest-Neighbor (PDNN) model for better quantification of gene expression and cross-hybridization. ^ The problem addressed in this dissertation is fundamental to the microarray technology. We expect that this study will help us to understand the detailed mechanism that determines sensitivity and specificity on the microarrays. Consequently, this research will have a wide impact on how microarrays are designed and how the data are interpreted. ^

G870A polymorphism of cyclin D1 gene influences cancer risk - From epidemiological study to mechanism analysis

Alternate splicing of the cyclin D1 gene gives rise to transcript a and b which encode two protein isoforms cyclin D1a and cyclin D1b. Through testing transcript a and transcript b in a series of human samples, we found that cyclin D1 transcript b is ubiquitously expressed as transcript a but in the lower abundance compared to transcript a. Epidemiological studies have reported that the cyclin D1 gene (CCND1) G870A polymorphism influences the risk for a variety of cancer. In this investigation, we examined the cyclin D1b levels in tumor samples with different genotypes and found that higher levels of cyclin D1b are expressed from the A allele than the G allele. Cyclin D1 is known as a cell cycle regulator facilitating the progression of the cell cycle from G1 to S phase in response to the mitogenic signals. It also interacts with several transcription factors and transcriptional coregulators to modulate their activities. It has been reported that cyclin D1a can substitute for estrogen to activate estrogen receptor α (ERα) mediated transcription and can induce the proliferation of estrogen responsive tissues. However the biological role of cyclin D1b in ERα transcriptional regulation has not been previously explored. In this study, we determined that cyclin D1b antagonizes the action of cyclin D1a on ERα mediated transcription. Cell proliferation assays provided the evidence that cyclin D1b negatively regulates estrogen responsive breast cancer cell growth. Taken together, our findings show that the CCND1 G870A polymorphism is correlated with increased levels of cyclin D1b and that cyclin D1b antagonizes the action of cyclin D1a on ERα mediated transcription providing evidence for the mechanism by which the CCND1 G870A polymorphism may be protective in certain types of breast cancer. ^

Analysis of Wnt/beta-catenin signaling in kidney tubulogenesis

The β-catenin/Lef/Tcf-mediated Wnt pathway is central to the developmental of all animals, stem cell renewal, and cancer progression. Prior studies in frogs and mice have indicated that the ligand Wnt-4 is essential for the mesenchyme to epithelial transition that generates tubules in the context of kidney organogenesis. More recently, Wnt-9b in mice, was likewise found to be required. Yet despite the importance of Wnt signals in renal development, the corresponding Frizzled receptor(s) and downstream signaling mechanim(s) are unclear. My work addresses these knowledge gaps using in vitro (Madin-Darby Canine Kidney cells) and in vivo (Xenopus laevis and zebrafish pronephros) tubulogenic kidney model systems. Employing established reporter constructs of Wnt/β-catenin pathway activity, I have determined that MDCK cells are highly responsive to Wnt-4, -1, and -3A, but not to Wnt-5A and control conditions. I have confirmed that Wnt-4's canonical signaling activity in MDCK cells is mediated by downstream effectors of the Wnt/β-catenin pathway using β-Engrailed and dnTCF-4, constructs that suppress this pathway. I have further found that MDCK cells express the Frizzled-6 receptor, and that Wnt-4 forms a biochemical complex with Frizzled-6, yet does not appear to transduce Wnt-4's canonical signal. Additionally, I demonstrate that standard Hepatocyte Growth Factor (HGF)-mediated (non-physiologic) induction of MDCK tubulogenesis in collagen matrices is not altered by activation or suppression of β-catenin signaling activity; however, β-catenin signaling maintains cell survival in this in vitro system. Using a Wnt/β-catenin signaling reporter in Xenopus laevis, I detect β-catenin signaling activity in the early pronephric epithelial kidney tubules. By inhibiting the Wnt/β-catenin signaling pathway in both zebrafish and Xenopus , a significant loss of kidney tubulogenesis is observed with little or no effect on adjoining axis or somite development. This inhibition also leads to the appearance of severe edema that phenocopies embryos depleted for Wnt-4. Tubulogenic loss does not appear to be caused by increased cell death in the Xenopus pronephric field, but rather by lessened expression of tubule epithelium genes associated with cellular differentiation. Together, my results show that Wnt/β-catenin signaling is required for renal tubule development and that Wnt-4 is a strong candidate for activating this pathway. ^

Texas electronics waste management: A policy analysis for the 21st century

Electronic waste is a fairly new and largely unknown phenomenon. Accordingly, governments have only recently acknowledged electronic waste as a threat to the environment and public health. In attempting to mitigate the hazards associated with this rapidly growing toxic waste stream, governments at all levels have started to implement e-waste management programs. The legislation enacted to create these programs is based on extended producer responsibility or EPR policy. ^ EPR shifts the burden of final disposal of e-waste from the consumer or municipal solid waste system to the manufacturer of electronic equipment. Applying an EPR policy is intended to send signals up the production chain to the manufacturer. The desired outcome is to change the methods of production in order to reduce production outputs/inputs with the ultimate goal of changing product design. This thesis performs a policy analysis of the current e-waste policies at the federal and state level of government, focusing specifically on Texas e-waste policies. ^ The Texas e-waste law known, as HB 2714 or the Texas Computer TakeBack Law, requires manufacturers to provide individual consumers with a free and convenient method for returning their used computers to manufacturers. The law is based on individual producer responsibility and shared responsibility among consumer, retailers, recyclers, and the TCEQ. ^ Using a set of evaluation criteria created by the Organization for Economic Co-operation and Development, the Texas e-waste law was examined to determine its effectiveness at reducing the threat of e-waste in Texas. Based on the outcomes of the analysis certain recommendations were made for the legislature to incorporate into HB 2714. ^ The results of the policy analysis show that HB 2714 is a poorly constructed law and does not provide the desired results seen in other states with EPR policies. The TakeBack Law does little to change the collection methods of manufacturers and even less to change their production habits. If the e-waste problem is to be taken seriously, HB 2714 must be amended to reflect the proposed changes in this thesis.^

An exploratory analysis of variance and volatility in epileptic electroencephalograms

The electroencephalogram (EEG) is a physiological time series that measures electrical activity at different locations in the brain, and plays an important role in epilepsy research. Exploring the variance and/or volatility may yield insights for seizure prediction, seizure detection and seizure propagation/dynamics.^ Maximal Overlap Discrete Wavelet Transforms (MODWTs) and ARMA-GARCH models were used to determine variance and volatility characteristics of 66 channels for different states of an epileptic EEG – sleep, awake, sleep-to-awake and seizure. The wavelet variances, changes in wavelet variances and volatility half-lives for the four states were compared for possible differences between seizure and non-seizure channels.^ The half-lives of two of the three seizure channels were found to be shorter than all of the non-seizure channels, based on 95% CIs for the pre-seizure and awake signals. No discernible patterns were found the wavelet variances of the change points for the different signals. ^

Regulation of myogenesis by growth signals -growth factors, oncogenes and protein kinases

Establishment of a myogenic phenotype involves antagonism between cell proliferation and differentiation. The recent identification of the MyoD family of muscle-specific transcription factors provides opportunities to dissect at the molecular level the mechanisms through which defined cell type-specific transcription factors respond to environmental cues and regulate differentiation programs. This project is aimed at elucidation of the molecular mechanism whereby growth factors repress myogenesis. Initial studies demonstrated that nuclear oncogenes such as c-fos, junB and c-jun are immediate early genes that respond to serum and TGF-$\beta$. Using the muscle creatine kinase (MCK) enhancer linked to the reporter gene CAT as a marker for differentiation, we showed that transcriptional function of myogenin can be disrupted in the presence of c-Fos, JunB and cjun. In contrast, JunD, which shares DNA-binding specificity with JunB and c-Jun but is expressed constitutively in muscle cells, failed to show the inhibition. The repression by Fos and Jun is targeted at KE-2 motif, the same sequence that mediates myogenin-dependent activation and muscle-specific transactivation. Deletion analysis indicated that the transactivation domain of c-Jun at the N-terminus is responsible for the repression. Considering that myogenin is a phosphoprotein and cAMP and TPA are able to regulate myogenesis, we examined whether constitutively active protein kinase C (PKC) and protein kinase A (PKA) could substitute for exogenous growth factors and prevent transcription activation by myogenin. Indeed, the basic region of myogenin is phosphorylated by PKC at a threonine that is conserved in all members of the MyoD family. Phosphorylation at this site attenuates DNA binding activity of myogenin. Protein kinase A can also phosphorylate myogenin in a region adjacent to the DNA binding domain. However, phosphorylation at this site is insufficient to abrogate myogenin's DNA binding capacity, suggesting that PKA and PKC may affect myogenin transcriptional activity through different mechanisms. These findings provide insight into the mechanisms through which growth factor signals negatively regulate the muscle differentiation program and contribute to an understanding of signal transducing pathways between the cell membrane and nucleus. ^

Functional analysis of GNA -1, a Galphai superfamily member found in the filamentous fungus Neurospora crassa

Heterotrimeric GTP-binding proteins, G proteins, are integral components of eukaryotic signaling systems linking extracellular signals to intracellular responses. Through coupling to seven-transmembrane helix receptors, G proteins convey primary signaling events into multi-leveled cascades of intracellular activity by regulating downstream enzymes, collectively called effectors. The effector enzymes regulated by G proteins include adenylyl cyclase, cAMP phosphodiesterase, phospolipase C-β, mitogen-activated protein kinases, and ion channels. ^ Neurospora crassa is a multicellular, filamentous fungus that is capable of both asexual and sexual reproduction by elaboration of specialized, developmentally controlled structures that give rise to either asexual or sexual spores, respectively. N. crassa possesses at least three heterotrimeric Gα proteins (GNA-1–3) and one Gβ subunit (GNB-1). GNA-1 was the first microbial protein that could be classified in the Gαi superfamily based on its amino acid identity and demonstration that it is a substrate for ADP-ribosylation by pertussis toxin. ^ Experiments were designed to identify the signal transduction pathways and the effector enzymes regulated by GNA-1. Targeted gene-replacement of gna-1 revealed that GNA-1 controls multiple developmental pathways including both asexual and sexual reproduction, maintenance of growth, and resistance to osmotic stress. The Gαi and Gαz members of the Gαi superfamily negatively regulate adenylyl cyclase activity in mammalian cells; therefore, adenylyl cyclase and cAMP levels were measured in Δgna-1 strains and also in strains that were deleted for both gna-1 and gna-2, a second Gα in N. crassa shown to have overlapping functions with GNA-1. Direct measurements of adenylyl cyclase activity revealed that GNA-1, but not GNA-2, was responsible for GTP-stimulated adenylyl cyclase activity in N. crassa. Furthermore, anti-GNA-1 IgG could specifically inhibit GTP-stimulated adenylyl cyclase activity in wild-type strain extracts. These studies also provided evidence that N. crassa possesses feedback mechanisms that control steady-state cAMP levels through indirect regulation of cAMP-phosphodiesterase activity; mutations in gna-1 and gna-2 were additive in their effect on lowering cAMP-phosphodiesterase activity under growth conditions where steady-state cAMP levels were normal but GTP-stimulated adenylyl cyclase activity was reduced 90% in comparison to control strains. ^ Genetic and biochemical epistasis experiments utilizing a Δ gna-1 cr-1 mutant suggest that GNA-1 is essential for female fertility in a cAMP-independent pathway. Furthermore, deletion of gna-1 in a cr-1 background exacerbated many of the defects already observed in the cr-1 strain including more severe growth restriction and developmental defects. However, deletion of gna-1 had no effect on the increased thermotolerance of cr-1, which has been attributed to loss of cAMP. cr-1 possesses GNA-1 protein, and crude membrane fractions from this strain reconstituted GTP-stimulated adenylyl cyclase activity in Δgna-1 membrane fractions. These studies provide direct evidence for the involvement of Gα proteins in the regulation of adenylyl cyclase activity in eukaryotic microbes. ^

Functional analysis of the Galpha protein, GNA -3, in the development of Neurospora crassa using biochemical and genetic studies

Extracellular signals regulate fungal development and, to sense and respond to these cues, fungi evolved signal transduction pathways similar to those in mammalian systems. In fungi, heterotrimeric G proteins, composed of α, β, and γ subunits, transduce many signals, such as pheromones and nutrients, intracellularly to alter adenylyl cyclase and MAPK cascades activity. ^ Previously, the Gα proteins GNA-1 and GNA-2 were characterized in regulating development in the fungus Neurospora crassa. R. A. Baasiri isolated a third Gα, gna-3, and P. S. Rowley generated Δgna-3 mutants. GNA-3 belongs to a fungal Gα family that regulates cAMP metabolism and virulence. The Δ gna-3 sexual cycle is defective in homozygous crosses, producing inviable spores. Δgna-3 mutants have reduced aerial hyphae formation and derepressed asexual sporulation (conidiation), causing accumulation of asexual spores (conidia). These defects are similar to an adenylyl cyclase mutant, cr-1; cAMP supplementation suppressed Δ gna-3 and cr-1. Inappropriate conidiation and expression of a conidiation gene, con-10, were higher in Δ gna-3 than cr-1 submerged cultures; peptone suppressed conidiation. Adenylyl cyclase activity and expression demonstrated that GNA-3 regulates enzyme levels. ^ A Δgna-1 cr-1 was analyzed with F. D. Ivey to differentiate GNA-1 roles in cAMP-dependent and -independent pathways. Δ gna-1 cr-1 defects were worse than cr-1 and refractory to cAMP, suggesting that GNA-1 is necessary for sensing extracellular CAMP. Submerged culture conidiation was highest in Δgna-1 cr-1, and only high cell density Δgna-1 cultures conidiated, which correlated with con-10 levels. Transcription of a putative heat shock cognate protein was highest in Δgna-1 cr-1. ^ Functional relationships between the three Gαs was analyzed by constructing Δgna-1 Δgna-2 Δ gna-3, Δgna-1 Δgna-3, and Δgna-2 Δgna-3 strains. Δ gna-2 Δgna-3 strains exhibited intensified Δ gna-3 phenotypes; Δgna-1 Δgna-2 Δgna-3 and Δgna-1 Δ gna-3 strains were identical to Δgna-1 cr-1 on plates and were non-responsive to cAMP. The highest levels of conidiation and con-10 were detected in submerged cultures of Δ gna-1 Δgna-2 Δgna-3 and Δgna-1 Δgna-3 mutants, which was partially suppressed by peptone supplementation. Stimulation of adenylyl cyclase is completely deficient in Δgna-1 Δ gna-2 Δgna-3 and Δgna-1 Δ gna-3 strains. Δgna-3 and Δ gna-1 Δgna-3 aerial hyphae and conidiation defects were suppressed by mutation of a PKA regulatory subunit. ^