Diagnosing the Nutritional Balance of Almond (Prunus sp.) Orchards Using DRIS and DOP Methods

Testing and developing nutrient diagnosis methods, which can result in the optimum production of fruits, is of significance. The nutritional balance and requirements of almond (Prunus sp.) orchards, in the city of Saman (province of Chaharmahal and Bakhtiari, Iran, one of the biggest producers of almond in the country), were investigated using the methods of diagnosis and recommendation integrated system (DRIS) and deviation from optimum percentage (DOP) in a two-year research. Using 36 gardens along the Zayandehrud River in a 60-km distance, soil physical and chemical properties, as well as leaf micro- and macro-nutrient contents were determined. Similar plant samples (leaf + petiole) in terms of age, genotype and rootstock were collected from the unfruitful trees. The most deficient nutrients including S, Cu, Zn and Mn were indicated by the DRIS and DOP methods. However, according to the DRIS method Mg, and according to the DOP method N, K and Mg were determined as the most excessive macronutrients. Interestingly, both methods indicated Mo as the most excessive micronutrient. The balance indexes of different nutrients for different orchards indicated that the nutritional balances of the orchards from the highest to the least deficiency are according to the following order Cu > S > Zn > Mn > Cl > P > Ca > Mg > B > N > K > Fe > Mo. Such results indicate the precisions and some similarities between the two methods. However, the two methods were compared using SAS Proc GLM, Proc REG, and Proc NLIN. The analyses indicated that the two methods were significantly different and the DOP method (significant model) indicated higher correlation with the results. Accordingly, the DOP method may be a more accurate method of estimating almond yield as affected by the concentration of different nutrients. It is possible to determine the deficiency, balance and excessiveness of nutrients in almond orchards using the DRIS and DOP methods, which is of economic and environmental significance, worldwide.

     

Ion channel noise can explain firing correlation in auditory nerves

Sensory neurons code information about stimuli in their sequence of action potentials (spikes). Intuitively, the spikes should represent stimuli with high fidelity. However, generating and propagating spikes is a metabolically expensive process. It is therefore likely that neural codes have been selected to balance energy expenditure against encoding error. Our recently proposed optimal, energy-constrained neural coder (Jones et al. Frontiers in Computational Neuroscience, 9, 61 2015) postulates that neurons time spikes to minimize the trade-off between stimulus reconstruction error and expended energy by adjusting the spike threshold using a simple dynamic threshold. Here, we show that this proposed coding scheme is related to existing coding schemes, such as rate and temporal codes. We derive an instantaneous rate coder and show that the spike-rate depends on the signal and its derivative. In the limit of high spike rates the spike train maximizes fidelity given an energy constraint (average spike-rate), and the predicted interspike intervals are identical to those generated by our existing optimal coding neuron. The instantaneous rate coder is shown to closely match the spike-rates recorded from P-type primary afferents in weakly electric fish. In particular, the coder is a predictor of the peristimulus time histogram (PSTH). When tested against in vitro cortical pyramidal neuron recordings, the instantaneous spike-rate approximates DC step inputs, matching both the average spike-rate and the time-to-first-spike (a simple temporal code). Overall, the instantaneous rate coder relates optimal, energy-constrained encoding to the concepts of rate-coding and temporal-coding, suggesting a possible unifying principle of neural encoding of sensory signals.     

The alpha 1/beta 1 and alpha 6/beta 1 integrin heterodimers mediate cell attachment to distinct sites on laminin

This study was undertaken to determine the roles of individual alpha/beta 1 integrin heterodimers in promoting cellular interactions with the different attachment-promoting domains of laminin (LN). To do this, antibodies to the integrin beta 1 subunit or to specific integrin alpha subunits were tested for effects on cell attachment to LN, to elastase fragments E1-4 and E1, derived from the short arms and core of LN's cruciform structure, and to fragment E8 derived from the long arm of this structure. The human JAR choriocarcinoma cells used in this study attached to LN and to fragments E1 and E8. Attachment to E1-4 required a much higher substrate coating concentration, suggesting that it is a poor substrate for JAR cell attachment. The ability of cells to attach to different LN domains suggested the presence of more than one LN receptor. These multiple LN receptors were shown to be beta 1 integrin heterodimers because antibodies to the integrin beta 1 subunit inhibited attachment of JAR cells to LN and its three fragments. To identify the individual integrin alpha/beta 1 heterodimers that mediate interactions with these LN domains, mAbs specific for individual beta 1 heterodimers in human cells were used to study JAR cell interactions with LN and its fragments. An anti-alpha 6/beta 1-specific mAb, GoH3, virtually eliminated cell attachment to E8 and partially inhibited attachment to E1 and intact LN. Thus the major alpha 6/beta 1 attachment domain is present in fragment E8. An alpha 1/beta 1-specific mAb (S2G3) strongly inhibited cell attachment to collagen IV and partially inhibited JAR attachment to LN fragment E1. Thus, the alpha 1/beta 1 heterodimer is a dual receptor for collagen IV and LN, interacting with LN at a site in fragment E1. In combination, the anti-alpha 1- and anti-alpha 6-specific antibodies completely inhibited JAR cell attachment to LN and fragment E1. Thus, the alpha 1/beta 1 and alpha 6/beta 1 integrin heterodimers each function as LN receptors and act together to mediate the interactions of human JAR choriocarcinoma cells with LN.     

Structural proteomics: methods in deriving protein structural information and issues in data management

Structural proteomics is an emerging paradigm that is gaining importance in the post-genomic era as a valuable discipline to process the protein target information being deciphered. The field plays a crucial role in assigning function to sequenced proteins, defining pathways in which the targets are involved, and understanding structure-function relationships of the protein targets. A key component of this research sector is accessing the three-dimensional structures of protein targets by both experimental and theoretical methods. This then leads to the question of how to store, retrieve, and manipulate vast amounts of sequence (1-D) and structural (3-D) information in a relational format so that extensive data analysis can be achieved. We at SBI have addressed both of these fundamental requirements of structural proteomics. We have developed an extensive collection of three-dimensional protein structures from sequence data and have implemented a relational architecture for data management. In this article we will discuss our approaches to structural proteomics and the tools that life science researchers can use in their discovery efforts.     

Rapid method for permanent slide preparation of colonies in soft agar cultures

A method is presented for preparing permanent microscopic slides from colony-bearing agar layers in soft agar cultures. The main advantages of this technique are its simplicity, rapidity and accurate colony preservation. This method could have broad applications in the human tumor clonogenic assay (HTCA), particularly in the quantitative morphological, cytochemical and immunocytochemical assessment of colonies that form in both control and drug-treated cultures. Thus, this method opens up possibilities for using cytopathological criteria as a quantitative endpoint of the HTCA.