Sandal et al. MPMI 4 INTRODUCTIONGenetic analysis and application of genetic approaches in the model legume Lotus japonicus (Handberg and Stougaard 1992) has progressed rapidly. Several key genes important for symbiosis with mycorrhizal fungi, root nodule development and other developmental processes have been identified using molecular genetics. The developmental regulators Nin (Schauser et al. 1999) and Pfo (Zhang et al. 2002) were isolated by transposon tagging while map-based cloning led to the molecular characterisation of Har1, SymRK, Nfr1, Nfr5, Castor and Pollux involved in autoregulation, Nod-factor signal perception or signal transduction (Schauser et al. 1999, Krusell et al. 2002 Nishimura et al. 2002a;Stracke et al. 2002;Radutoiu et al. 2003;Madsen et al. 2003; Imaizumi-Anraku et al. 2005). Genetic loci required for the early stages of endosymbiosis have attracted particular interest. Diallelic crosses together with phenotypical studies defined seven loci, SymRK, Nup133, Castor, Pollux, Sym6, Sym15,Sym24, in the common pathway required for both rhizobial and mycorrhizal symbiosis (Kistner et al. unpublished data) and map-based cloning of these loci has been accomplished or is advancing rapidly. A similar interest and effort is now emerging for genetic dissection of nodule organogenesis and function using the Fix -mutants arrested at various stages of nodule development or impaired in nodule function. Cloning of the Sst1 sulfate transporter required in functional root nodules is a first example (Krusell et al. 2005).Continuous isolation of new plant mutant lines is important for completing the genetic dissection of symbiosis and so far six independent mutant populations have been obtained by chemical (EMS) mutagenesis (Perry et al. 2003;Szczyglowski et al. 1998; Webb et al. unpublished data; Gresshoff et al. unpublished data), four populations after T-DNA or transposon insertion mutagenesis (Thykjaer et al. 1995;Schauser et al. 1998;Webb et al. 2000; Gresshoff et al. unpublished data), one population made with fast neutrons (Gresshoff et al. unpublished Umehara and Kouchi (unpublished data). All in all more than 400 symbiotic Lotus mutant lines were identified by screening in these populations and more are likely to follow. Assignment to complementation groups is next logical step in order to determine the number of loci involved, identify all alleles that contribute to phenotypic characterisation of mutants and genotyping of loci. However, diallelic crossing is a relatively slow process where progress is determined by generation time and slowed by a continuously increasing number of individual crosses necessary to keep up with mutant isolation programs. Given the number of symbiotic mutant lines already available and considering the time used to define seven complementation groups with a total of 26 alleles constituting the common pathway (Kistner et al. unpublished data), this approach is unlikely to encompass all alleles in near future. Detection of alleles in already cloned genes ...

We propose event-related cortical sources estimation from subject-independent electroencephalography (EEG) recordings for motor imagery brain computer interface (BCI). By using wavelet-based maximum entropy on the mean (wMEM), task-specific EEG channels are selected to predict right hand and right foot sensorimotor tasks, employing common spatial pattern (CSP) and regularized common spatial pattern (RCSP). EEG from five healthy individuals (Dataset IVa, BCI Competition III) were evaluated by a cross-subject paradigm. Prediction performance was evaluated via a two-layer feed-forward neural network, where the classifier was trained and tested by data from two subjects independently. On average, the overall mean prediction accuracies obtained using all 118 channels are (55.98±6.53) and (71.20±5.32) in cases of CSP and RCSP, respectively, which are slightly lower than the accuracies obtained using only the selected channels, i.e., (58.95±6.90) and (71.41±6.65), respectively. The highest mean prediction accuracy achieved for a specific subject pair by using selected EEG channels was on average (90.36±5.59) and outperformed that achieved by using all available channels (86.07 ± 10.71). Spatially projected cortical sources approximated using wMEM may be useful for capturing inter-subject associative sensorimotor brain dynamics and pave the way toward an enhanced subject-independent BCI.

. Significance: Functional brain imaging in awake animal models is a popular and powerful technique that allows the investigation of neurovascular coupling (NVC) under physiological conditions. However, ubiquitous facial and body motions (fidgeting) are prime drivers of spontaneous fluctuations in neural and hemodynamic signals. During periods without movement, animals can rapidly transition into sleep, and the hemodynamic signals tied to arousal state changes can be several times larger than sensory-evoked responses. Given the outsized influence of facial and body motions and arousal signals in neural and hemodynamic signals, it is imperative to detect and monitor these events in experiments with un-anesthetized animals. Aim: To cover the importance of monitoring behavioral state in imaging experiments using un-anesthetized rodents, and describe how to incorporate detailed behavioral and physiological measurements in imaging experiments. Approach: We review the effects of movements and sleep-related signals (heart rate, respiration rate, electromyography, intracranial pressure, whisking, and other body movements) on brain hemodynamics and electrophysiological signals, with a focus on head-fixed experimental setup. We summarize the measurement methods currently used in animal models for detection of those behaviors and arousal changes. We then provide a guide on how to incorporate this measurements with functional brain imaging and electrophysiology measurements. Results: We provide a how-to guide on monitoring and interpreting a variety of physiological signals and their applications to NVC experiments in awake behaving mice. Conclusion: This guide facilitates the application of neuroimaging in awake animal models and provides neuroscientists with a standard approach for monitoring behavior and other associated physiological parameters in head-fixed animals.

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Liquefaction can intensify the destruction caused by an earthquake; thus, a region with high liquefaction potential could be more disastrous. Bangladesh is surrounded by the Indo-Burma Folded Belt in the east, the Dauki Fault and Himalayan Syntaxis in the north that are known to have occurred high magnitude earthquakes (e.g., M w > 7) in the past. Therefore, assessing seismic hazards in the regions that are economically growing fast is of great interest. Among many other hazard assessment parameters, soil liquefaction potential index (LPI) can be used to assess seismic hazards. In this study, we have assessed the seismic hazard potential for a small town (Moulvibazar) in the northeast Bangladesh documenting liquefaction potential indices for different surface geological units using an earthquake of moment magnitude M w 8 having a peak horizontal ground acceleration (PGA) of 0.36 g. Twenty-five standard penetration test (SPT) boreholes were completed within the study area to obtain SPT-N values for two surface geological units: (1) Holo-Pleistocene low elevated terrace deposits (Zone 1) and (2) Holocene flood plain deposits (Zone 2). Using the SPT-N values, the LPI values have been calculated for the soil profile of each borehole. The LPI values in the town vary from 0 to 42.33, whereas values from 1.42 to 7.52 are in Zone 1 and values from 0 to 42.34 are in Zone 2. It has been predicted that 42% and 78% areas of Zone 1 and Zone 2, respectively, might exhibit surface manifestation of liquefaction. The results of this study can be used for seismic risk management of Moulvibazar town.